{"metadata": {"dbt_schema_version": "https://schemas.getdbt.com/dbt/manifest/v6.json", "dbt_version": "1.2.0", "generated_at": "2022-08-09T17:58:55.716071Z", "invocation_id": "ff59f071-9740-4f40-9ee5-9d078dc94cdd", "env": {}, "project_id": "faebc42304447d4427374f806679ecb5", "user_id": "e5007098-4ff9-4553-b792-d5540d936b0c", "send_anonymous_usage_stats": true, "adapter_type": "snowflake"}, "nodes": {"model.my_new_project.cm_unioned_playlist_past": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith past_playlisting as (\n\nselect cast(spotify as varchar) as \"TRACK_ID\", cast(spotify_playlist as varchar) as \"PLAYLIST_ID\", s.isrc as \"ISRC\",\nsp.name as \"PLAYLIST_NAME\", sp.user_id as \"PLAYLIST_CURATOR\", (position+1) as \"PAST_POSITION\", 'Spotify' as \"STORE\",\nps.timestp as \"TIMESTP\"\nfrom {{ ref('base_cm_l_spotify_playlist_stat') }} ps\nleft join {{ ref('base_cm_spotify') }} s on s.id = ps.spotify\nleft join {{ ref('base_cm_spotify_playlist') }} sp on sp.id = ps.spotify_playlist\n\nunion all\n\nselect amazon as \"TRACK_ID\", amazon_playlist as \"PLAYLIST_ID\", a.isrc as \"ISRC\",\nap.name as \"PLAYLIST_NAME\", ap.curator_name as \"PLAYLIST_CURATOR\", position as \"PAST_POSITION\", 'Amazon Music' as \"STORE\",\nps.timestp as \"TIMESTP\"\nfrom {{ ref('base_cm_l_amazon_playlist_stat') }} ps\nleft join {{ ref('base_cm_amazon') }} a on a.id = ps.amazon\nleft join {{ ref('base_cm_amazon_playlist') }} ap on ap.id = ps.amazon_playlist\n\nunion all\n\nSelect cast(itunes as varchar) as \"TRACK_ID\", cast(itunes_playlist as varchar) as \"PLAYLIST_ID\", i.isrc as \"ISRC\",\nip.name as \"PLAYLIST_NAME\", ip.owner_name as \"PLAYLIST_CURATOR\", position as \"PAST_POSITION\", 'Apple Music' as \"STORE\",\nps.timestp as \"TIMESTP\"\nfrom {{ ref('base_cm_l_itunes_playlist_stat') }} ps\nleft join {{ ref('base_cm_itunes') }} i on i.id = ps.itunes\nleft join {{ ref('base_cm_itunes_playlist') }} ip on ip.id = ps.itunes_playlist\n\nunion all\n\nSelect cast(deezer as varchar) as \"TRACK_ID\", cast(deezer_playlist as varchar) as \"PLAYLIST_ID\", d.isrc as \"ISRC\",\ndp.name as \"PLAYLIST_NAME\", '' as \"PLAYLIST_CURATOR\", position as \"PAST_POSITION\", 'Deezer' as \"STORE\",\nps.timestp as \"TIMESTP\"\nfrom {{ ref('base_cm_l_deezer_playlist_stat') }} ps\nleft join {{ ref('base_cm_deezer') }} d on d.id = ps.deezer\nleft join {{ ref('base_cm_deezer_playlist') }} dp on dp.id = ps.deezer_playlist\n\nunion all\n\nSelect video_id as \"TRACK_ID\", playlist_id as \"PLAYLIST_ID\", y.isrc as \"ISRC\",\nyp.name as \"PLAYLIST_NAME\", '' as \"PLAYLIST_CURATOR\", position as \"PAST_POSITION\", 'YouTube' as \"STORE\",\nps.timestp as \"TIMESTP\"\nfrom {{ ref('base_cm_l_youtube_playlist_stat') }} ps\nleft join {{ ref('base_cm_youtube') }} y on y.id = ps.video_id\nleft join {{ ref('base_cm_youtube_playlist') }} yp on yp.id = ps.playlist_id)\n\nselect *\nfrom past_playlisting", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_l_spotify_playlist_stat", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_spotify_playlist", "model.my_new_project.base_cm_l_amazon_playlist_stat", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_playlist", "model.my_new_project.base_cm_l_itunes_playlist_stat", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_itunes_playlist", "model.my_new_project.base_cm_l_deezer_playlist_stat", "model.my_new_project.base_cm_deezer", "model.my_new_project.base_cm_deezer_playlist", "model.my_new_project.base_cm_l_youtube_playlist_stat", "model.my_new_project.base_cm_youtube", "model.my_new_project.base_cm_youtube_playlist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_unioned_playlist_past"], "unique_id": "model.my_new_project.cm_unioned_playlist_past", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_unioned_playlist_past.sql", "original_file_path": "models/chartmetric/cm_unioned_playlist_past.sql", "name": "cm_unioned_playlist_past", "alias": "cm_unioned_playlist_past", "checksum": {"name": "sha256", "checksum": "d4a91fecf1b3eddc5655f8879370abb43fbba9a324bb44c465a46d00f053b5d9"}, "tags": [], "refs": [["base_cm_l_spotify_playlist_stat"], ["base_cm_spotify"], ["base_cm_spotify_playlist"], ["base_cm_l_amazon_playlist_stat"], ["base_cm_amazon"], ["base_cm_amazon_playlist"], ["base_cm_l_itunes_playlist_stat"], ["base_cm_itunes"], ["base_cm_itunes_playlist"], ["base_cm_l_deezer_playlist_stat"], ["base_cm_deezer"], ["base_cm_deezer_playlist"], ["base_cm_l_youtube_playlist_stat"], ["base_cm_youtube"], ["base_cm_youtube_playlist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067937.9132864}, "model.my_new_project.cm_non_traditional_charts": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith chart1 as (\n\n select tiktok as \"ID_NUMERIC\", null as \"ID_STRING\", 'TikTok' as \"STORE\",\n tc.timestp, 'GLOBAL' as \"COUNTRY\",\n 'TikTok Weekly' as \"CHART_TYPE\", rank, t.isrc, t.track as \"TRACK\", t.artist as \"ARTIST\"\n from {{ ref('base_cm_tiktok_weekly_post_chart')}} tc\n left join {{ ref('base_cm_tiktok')}} t on tc.tiktok = t.id\n\n union all\n\n Select null as \"ID_NUMERIC\", youtube as \"ID_STRING\",\n 'YouTube' as \"STORE\", timestp, country, 'YouTube Weekly Track' as \"CHART_TYPE\",\n position as \"RANK\", isrc, y.track_title||y.title as \"TRACK\", y.artist_name as \"ARTIST\"\n from {{ ref('base_cm_youtube_track_chart')}} yt\n left join {{ ref('base_cm_youtube')}} y on yt.youtube = y.id\n where y.track_title||y.title is not null\n\n\n union all\n\n Select null as \"ID_NUMERIC\", youtube as \"ID_STRING\",\n 'YouTube' as \"STORE\", timestp, country, 'YouTube Weekly Video' as \"CHART_TYPE\",\n position as \"RANK\", isrc, y.track_title||y.title as \"TRACK\", y.artist_name as \"ARTIST\"\n from {{ ref('base_cm_youtube_video_chart')}} yv\n left join {{ ref('base_cm_youtube')}} y on yv.youtube = y.id\n where y.track_title||y.title is not null),\n\n chart2 as (\n select *\n from chart1)\n\n select c1.id_numeric, c1.id_string, c1.store, c1.timestp as date1, c2.timestp as date2, c1.country as country1, c2.country as country2,\n c1.chart_type as charttype1, c2.chart_type as charttype2, c1.rank as rank1, c2.rank as rank2, c1.isrc as isrc1, c2.isrc as isrc2, c1.artist, c1.track\n from chart1 c1\n left outer join chart2 c2 on c1.isrc = c2.isrc and c1.chart_type = c2.chart_type and c1.country = c2.country\n and to_date(c2.timestp) = dateadd(day,-7,to_date(c1.timestp))\n where c1.store in ('YouTube', 'TikTok')", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_tiktok_weekly_post_chart", "model.my_new_project.base_cm_tiktok", "model.my_new_project.base_cm_youtube_track_chart", "model.my_new_project.base_cm_youtube", "model.my_new_project.base_cm_youtube_video_chart", "model.my_new_project.base_cm_youtube"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_non_traditional_charts"], "unique_id": "model.my_new_project.cm_non_traditional_charts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_non_traditional_charts.sql", "original_file_path": "models/chartmetric/cm_non_traditional_charts.sql", "name": "cm_non_traditional_charts", "alias": "cm_non_traditional_charts", "checksum": {"name": "sha256", "checksum": "bcbfb4826633377d24fcc2cdb94807f05155a204afb2c94f1a820d9ec2288eb6"}, "tags": [], "refs": [["base_cm_tiktok_weekly_post_chart"], ["base_cm_tiktok"], ["base_cm_youtube_track_chart"], ["base_cm_youtube"], ["base_cm_youtube_video_chart"], ["base_cm_youtube"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067937.9570036}, "model.my_new_project.cm_unioned_playlist_current": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_playlisting as (\n\nselect cast(spotify as varchar) as \"TRACK_ID\", cast(spotify_playlist as varchar) as \"PLAYLIST_ID\", s.isrc as \"ISRC\",\nsp.name as \"PLAYLIST_NAME\", sp.user_id as \"PLAYLIST_CURATOR\", (position_latest+1) as \"CURRENT_POSITION\", 'Spotify' as \"STORE\",\nifnull(sp.code2, 'GLOBAL') as \"COUNTRY\", least(ps.added_at, ps.start_sys_period) as \"DATE_ADDED\", sp.playlist_id as \"PLAYLIST_URI\", 'https://open.spotify.com/playlist/'||sp.playlist_id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_spotify_playlist') }} ps\nleft join {{ ref('base_cm_spotify') }} s on s.id = ps.spotify\nleft join {{ ref('base_cm_spotify_playlist') }} sp on sp.id = ps.spotify_playlist\n\nunion all\n\nselect amazon as \"TRACK_ID\", amazon_playlist as \"PLAYLIST_ID\", a.isrc as \"ISRC\",\nap.name as \"PLAYLIST_NAME\", ap.curator_name as \"PLAYLIST_CURATOR\", position as \"CURRENT_POSITION\", 'Amazon Music' as \"STORE\",\nap.code2 as \"COUNTRY\", ps.start_sys_period as \"DATE_ADDED\", ap.id as \"PLAYLIST_URI\", 'https://music.amazon.com/playlists/'||ap.id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_amazon_playlist') }} ps\nleft join {{ ref('base_cm_amazon') }} a on a.id = ps.amazon\nleft join {{ ref('base_cm_amazon_playlist') }} ap on ap.id = ps.amazon_playlist\nwhere ap.original = 'TRUE'\n\nunion all\n\nSelect cast(itunes as varchar) as \"TRACK_ID\", cast(ps.itunes_playlist as varchar) as \"PLAYLIST_ID\", i.isrc as \"ISRC\",\nip.name as \"PLAYLIST_NAME\", ip.owner_name as \"PLAYLIST_CURATOR\", position as \"CURRENT_POSITION\", 'Apple Music' as \"STORE\",\nupper(ips.storefront) as \"COUNTRY\", ps.start_sys_period as \"DATE_ADDED\", ip.playlist_id as \"PLAYLIST_URI\", 'https://music.apple.com/'||lower(ps.storefront)||'/playlist/new-music-daily/'||playlist_id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_itunes_playlist') }} ps\nleft join {{ ref('base_cm_itunes') }} i on i.id = ps.itunes\nleft join {{ ref('base_cm_itunes_playlist') }} ip on ip.id = ps.itunes_playlist\nleft join {{ ref('base_cm_itunes_playlist_storefront') }} ips on ips.itunes_playlist = ip.id\n\nunion all\n\nSelect cast(deezer as varchar) as \"TRACK_ID\", cast(deezer_playlist as varchar) as \"PLAYLIST_ID\", d.isrc as \"ISRC\",\ndp.name as \"PLAYLIST_NAME\", '' as \"PLAYLIST_CURATOR\", position as \"CURRENTPOSITION\", 'Deezer' as \"STORE\",\n'' as \"COUNTRY\", ps.start_sys_period as \"DATE_ADDED\", cast(dp.id as varchar) as \"PLAYLIST_URI\", 'https://www.deezer.com/playlist/'||dp.id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_deezer_playlist') }} ps\nleft join {{ ref('base_cm_deezer') }} d on d.id = ps.deezer\nleft join {{ ref('base_cm_deezer_playlist') }} dp on dp.id = ps.deezer_playlist\n\nunion all\n\nSelect video_id as \"TRACK_ID\", playlist_id as \"PLAYLIST_ID\", y.isrc as \"ISRC\",\nyp.name as \"PLAYLIST_NAME\", '' as \"PLAYLIST_CURATOR\", (position+1) as \"CURRENT_POSITION\", 'YouTube' as \"STORE\",\n'' as \"COUNTRY\", ps.start_sys_period as \"DATE_ADDED\", yp.id as \"PLAYLIST_URI\", 'https://www.youtube.com/playlist?list='||yp.id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_youtube_playlist') }} ps\nleft join {{ ref('base_cm_youtube') }} y on y.id = ps.video_id\nleft join {{ ref('base_cm_youtube_playlist') }} yp on yp.id = ps.playlist_id)\n\nselect *\nfrom current_playlisting", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_l_spotify_playlist", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_spotify_playlist", "model.my_new_project.base_cm_l_amazon_playlist", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_playlist", "model.my_new_project.base_cm_l_itunes_playlist", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_itunes_playlist", "model.my_new_project.base_cm_itunes_playlist_storefront", "model.my_new_project.base_cm_l_deezer_playlist", "model.my_new_project.base_cm_deezer", "model.my_new_project.base_cm_deezer_playlist", "model.my_new_project.base_cm_l_youtube_playlist", "model.my_new_project.base_cm_youtube", "model.my_new_project.base_cm_youtube_playlist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_unioned_playlist_current"], "unique_id": "model.my_new_project.cm_unioned_playlist_current", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_unioned_playlist_current.sql", "original_file_path": "models/chartmetric/cm_unioned_playlist_current.sql", "name": "cm_unioned_playlist_current", "alias": "cm_unioned_playlist_current", "checksum": {"name": "sha256", "checksum": "62e22d19c8f9a7ea18f35aa17798edb6ac513b2d1a02574be06f28af78873437"}, "tags": [], "refs": [["base_cm_l_spotify_playlist"], ["base_cm_spotify"], ["base_cm_spotify_playlist"], ["base_cm_l_amazon_playlist"], ["base_cm_amazon"], ["base_cm_amazon_playlist"], ["base_cm_l_itunes_playlist"], ["base_cm_itunes"], ["base_cm_itunes_playlist"], ["base_cm_itunes_playlist_storefront"], ["base_cm_l_deezer_playlist"], ["base_cm_deezer"], ["base_cm_deezer_playlist"], ["base_cm_l_youtube_playlist"], ["base_cm_youtube"], ["base_cm_youtube_playlist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.0420732}, "model.my_new_project.cm_social_union": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith social_union as \n(select s.account_id, timestp, u.target, u.target_id, u.type,\nposts as ig_posts, followers as ig_followers, avg_likes as ig_avg_likes, avg_comments as ig_avg_comments, avg_views as ig_avg_views,\nNULL as fb_likes, NULL as fb_talks,\nNULL as tw_followers, NULL as tw_retweets, NULL as tw_favorites, NULL as tw_friends, NULL as tw_listed,\nNULL as yt_views, NULL as yt_videos, NULL as yt_subs, NULL as yt_comments,\nNULL as w_views, null as tt_followers, null as tt_likes, null as tt_videos\nfrom {{ ref('base_cm_instagram_stat') }} s\ninner join {{ ref('base_cm_cm_url') }} u on u.account_id = s.account_id\nwhere u.type = 2\n\nunion all\n\nselect s.account_id, timestp, u.target, u.target_id, u.type,\nNULL as ig_posts, NULL as ig_followers, NULL as ig_avg_likes, NULL as ig_avg_comments, NULL as ig_avg_views,\nlikes as fb_likes, talks as fb_talks,\nNULL as tw_followers, NULL as tw_retweets, NULL as tw_favorites, NULL as tw_friends, NULL as tw_listed,\nNULL as yt_views, NULL as yt_videos, NULL as yt_subs, NULL as yt_comments,\nNULL as w_views, null as tt_followers, null as tt_likes, null as tt_videos\nfrom {{ ref('base_cm_facebook_stat') }} s\ninner join {{ ref('base_cm_cm_url') }} u on u.account_id = s.account_id\nwhere u.type = 0\n\nunion all\n\nselect s.account_id, timestp, u.target, u.target_id, u.type,\nNULL as ig_posts, NULL as ig_followers, NULL as ig_avg_likes, NULL as ig_avg_comments, NULL as ig_avg_views,\nNULL as fb_likes, NULL as fb_talks,\nfollowers as tw_followers, propagated_retweets as tw_retweets, favorites as tw_favorites, friends as tw_friends, listed as tw_listed,\nNULL as yt_views, NULL as yt_videos, NULL as yt_subs, NULL as yt_comments,\nNULL as w_views, null as tt_followers, null as tt_likes, null as tt_videos\nfrom {{ ref('base_cm_twitter_stat') }} s\ninner join {{ ref('base_cm_cm_url') }} u on u.account_id = s.account_id\nwhere u.type = 1\n\nunion all\n\nselect s.account_id, timestp, u.target, u.target_id, u.type,\nNULL as ig_posts, NULL as ig_followers, NULL as ig_avg_likes, NULL as ig_avg_comments, NULL as ig_avg_views,\nNULL as fb_likes, NULL as fb_talks,\nNULL as tw_followers, NULL as tw_retweets, NULL as tw_favorites, NULL as tw_friends, NULL as tw_listed,\ns.views as yt_views, videos as yt_videos, subscribers as yt_subs, comments as yt_comments,\nNULL as w_views, null as tt_followers, null as tt_likes, null as tt_videos\nfrom {{ ref('base_cm_youtube_channel_stat') }} s\ninner join {{ ref('base_cm_cm_url') }} u on u.account_id = s.account_id\nwhere u.type = 3\n\nunion all\n\nselect s.account_id, timestp, u.target, u.target_id, u.type,\nNULL as ig_posts, NULL as ig_followers, NULL as ig_avg_likes, NULL as ig_avg_comments, NULL as ig_avg_views,\nNULL as fb_likes, NULL as fb_talks,\nNULL as tw_followers, NULL as tw_retweets, NULL as tw_favorites, NULL as tw_friends, NULL as tw_listed,\nNULL as yt_views, NULL as yt_videos, NULL as yt_subs, NULL as yt_comments,\ns.views as w_views, null as tt_followers, null as tt_likes, null as tt_videos\nfrom {{ ref('base_cm_wikipedia_stat') }} s\ninner join {{ ref('base_cm_cm_url') }} u on u.account_id = s.account_id\nwhere u.type = 4\n\nunion all\n\nselect t.user_id as account_id, timestp, u.target, u.target_id, u.type,\nNULL as ig_posts, NULL as ig_followers, NULL as ig_avg_likes, NULL as ig_avg_comments, NULL as ig_avg_views,\nNULL as fb_likes, NULL as fb_talks,\nNULL as tw_followers, NULL as tw_retweets, NULL as tw_favorites, NULL as tw_friends, NULL as tw_listed,\nNULL as yt_views, NULL as yt_videos, NULL as yt_subs, NULL as yt_comments,null as w_views,\ntu.followers as tt_followers, tu.likes as tt_likes, tu.videos as tt_videos\nfrom {{ ref('base_cm_tiktok_user') }} t\nleft join {{ ref('base_cm_tiktok_user_stat') }} tu on t.id = tu.tiktok_user\ninner join {{ ref('base_cm_cm_url') }} u on u.account_id = t.user_id\nwhere u.type = 19)\n\nselect *\nfrom social_union", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_facebook_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_twitter_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_youtube_channel_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_wikipedia_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_tiktok_user", "model.my_new_project.base_cm_tiktok_user_stat", "model.my_new_project.base_cm_cm_url"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_social_union"], "unique_id": "model.my_new_project.cm_social_union", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_social_union.sql", "original_file_path": "models/chartmetric/cm_social_union.sql", "name": "cm_social_union", "alias": "cm_social_union", "checksum": {"name": "sha256", "checksum": "6829aa5935eecf60f35a5d805daab63d54c206a4c97c09e1a0d08f5c057425e0"}, "tags": [], "refs": [["base_cm_instagram_stat"], ["base_cm_cm_url"], ["base_cm_facebook_stat"], ["base_cm_cm_url"], ["base_cm_twitter_stat"], ["base_cm_cm_url"], ["base_cm_youtube_channel_stat"], ["base_cm_cm_url"], ["base_cm_wikipedia_stat"], ["base_cm_cm_url"], ["base_cm_tiktok_user"], ["base_cm_tiktok_user_stat"], ["base_cm_cm_url"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.0638373}, "model.my_new_project.cm_unioned_playlist_history": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith PlaylistUnion as(\n\nSelect cast(spotify as varchar) as \"TRACK_ID\", cast(spotify_playlist as varchar) as \"PLAYLIST_ID\",\n'Spotify' as \"STORE\", isrc, start_sys_period as \"ADDED\", end_sys_period as \"REMOVED\",\n(position_latest+1) as \"POSITION\", sp.name as \"PLAYLIST_NAME\", sp.user_id as \"PLAYLIST_CURATOR\", sp.code2 as \"COUNTRY\",\nsp.playlist_id as \"PLAYLIST_URI\", 'open.spotify.com/playlist/'||sp.playlist_id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_spotify_playlist_history') }} p\nleft join {{ ref('base_cm_spotify') }} s on s.id = p.spotify\nleft join {{ ref('base_cm_spotify_playlist') }} sp on sp.id = p.spotify_playlist\n\nunion all\n\nSelect amazon as \"TRACK_ID\", amazon_playlist as \"PLAYLIST_ID\",\n'Amazon Music' as \"STORE\", isrc, start_sys_period as \"ADDED\", end_sys_period as \"REMOVED\",\nposition as \"POSITION\", ap.name as \"PLAYLIST_NAME\", ap.curator_name as \"PLAYLIST_CURATOR\", ap.code2 as \"COUNTRY\",\nap.id as \"PLAYLIST_URI\", 'music.amazon.com/playlists/'||ap.id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_amazon_playlist_history') }} p\nleft join {{ ref('base_cm_amazon') }} a on a.id = p.amazon\nleft join {{ ref('base_cm_amazon_playlist') }} ap on ap.id = p.amazon_playlist\n\nunion all\n\nSelect cast(itunes as varchar) as \"TRACK_ID\", cast(itunes_playlist as varchar) as \"PLAYLIST_ID\",\n'Apple Music' as \"STORE\", isrc, start_sys_period as \"ADDED\", end_sys_period as \"REMOVED\",\nposition as \"POSITION\", ip.name as \"PLAYLIST_NAME\", ip.owner_name as \"PLAYLIST_CURATOR\", '' as \"COUNTRY\",\nip.playlist_id as \"PLAYLIST_URI\", ip.playlist_url as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_itunes_playlist_history') }} p\nleft join {{ ref('base_cm_itunes') }} i on i.id = p.itunes\nleft join {{ ref('base_cm_itunes_playlist') }} ip on ip.id = p.itunes_playlist\n\nunion all\n\nSelect cast(deezer as varchar) as \"TRACK_ID\", cast(deezer_playlist as varchar) as \"PLAYLIST_ID\",\n'Deezer' as \"STORE\", isrc, start_sys_period as \"ADDED\", end_sys_period as \"REMOVED\",\nposition as \"POSITION\", dp.name as \"PLAYLIST_NAME\", '' as \"PLAYLIST_CURATOR\", '' as \"COUNTRY\",\ncast(dp.id as varchar) as \"PLAYLIST_URI\", 'https://www.deezer.com/playlist/'||dp.id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_deezer_playlist_history') }} p\nleft join {{ ref('base_cm_deezer') }} d on d.id = p.deezer\nleft join {{ ref('base_cm_deezer_playlist') }} dp on dp.id = p.deezer_playlist\n\nunion all\n\nSelect video_id as \"TRACK_ID\", playlist_id as \"PLAYLIST_ID\",\n'YouTube' as \"STORE\", isrc, start_sys_period as \"ADDED\", end_sys_period as \"REMOVED\",\nposition as \"POSITION\", yp.name as \"PLAYLIST_NAME\", '' as \"PLAYLIST_CURATOR\", '' as \"COUNTRY\",\nyp.id as \"PLAYLIST_URI\", 'https://www.youtube.com/playlist?list='||yp.id as \"PLAYLIST_URL\"\nfrom {{ ref('base_cm_l_youtube_playlist_history') }} p\nleft join {{ ref('base_cm_youtube') }} y on y.id = p.video_id\nleft join {{ ref('base_cm_youtube_playlist') }} yp on yp.id = p.playlist_id)\n\nselect track_id, playlist_id,\nstore, isrc, added, removed, playlist_name, playlist_curator, position, country, playlist_uri, playlist_url\nfrom PlaylistUnion", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_l_spotify_playlist_history", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_spotify_playlist", "model.my_new_project.base_cm_l_amazon_playlist_history", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_playlist", "model.my_new_project.base_cm_l_itunes_playlist_history", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_itunes_playlist", "model.my_new_project.base_cm_l_deezer_playlist_history", "model.my_new_project.base_cm_deezer", "model.my_new_project.base_cm_deezer_playlist", "model.my_new_project.base_cm_l_youtube_playlist_history", "model.my_new_project.base_cm_youtube", "model.my_new_project.base_cm_youtube_playlist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_unioned_playlist_history"], "unique_id": "model.my_new_project.cm_unioned_playlist_history", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_unioned_playlist_history.sql", "original_file_path": "models/chartmetric/cm_unioned_playlist_history.sql", "name": "cm_unioned_playlist_history", "alias": "cm_unioned_playlist_history", "checksum": {"name": "sha256", "checksum": "bfe73f055eb5a8e0d788c1fe837c8446e7938350810090ce0d452844f933b9d7"}, "tags": [], "refs": [["base_cm_l_spotify_playlist_history"], ["base_cm_spotify"], ["base_cm_spotify_playlist"], ["base_cm_l_amazon_playlist_history"], ["base_cm_amazon"], ["base_cm_amazon_playlist"], ["base_cm_l_itunes_playlist_history"], ["base_cm_itunes"], ["base_cm_itunes_playlist"], ["base_cm_l_deezer_playlist_history"], ["base_cm_deezer"], ["base_cm_deezer_playlist"], ["base_cm_l_youtube_playlist_history"], ["base_cm_youtube"], ["base_cm_youtube_playlist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.0821028}, "model.my_new_project.cm_unioned_chart_2": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith ChartTypeUnion as(\n\n Select spotify as \"ID_NUMERIC\", null as \"ID_STRING\", 'Spotify' as \"STORE\",'Spotify Viral (Daily)' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_spotify_chart') }} sc\nleft join {{ ref('base_cm_spotify') }} s on sc.spotify = s.id\nwhere sc.chart_type = 'viral'\nand sc.duration = 'daily'\nand country is not null\n\nunion all\n\nSelect spotify as \"ID_NUMERIC\", null as \"ID_STRING\", 'Spotify' as \"STORE\",'Spotify Regional (Daily)' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_spotify_chart') }} sc\nleft join {{ ref('base_cm_spotify') }} s on sc.spotify = s.id\nwhere sc.chart_type = 'regional'\nand sc.duration = 'daily'\nand country is not null\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\", 'iTunes' as \"STORE\", 'iTunes Overall' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\",\ngenre, rank, isrc\nfrom {{ ref('base_cm_itunes_chart') }} ic\nleft join {{ ref('base_cm_itunes') }} i on ic.itunes= i.id\nwhere ic.genre = 'All Genres'\nand country is not null\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\", 'iTunes' as \"STORE\", 'iTunes Genre' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\",\ngenre, rank, isrc\nfrom {{ ref('base_cm_itunes_chart') }} ic\nleft join {{ ref('base_cm_itunes') }} i on ic.itunes = i.id\nwhere ic.genre != 'All Genres' and ic.genre is not null\nand country is not null\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\",'Apple Music' as \"STORE\", 'Apple Music Daily' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_apple_music_daily_top_chart') }} ac\nleft join {{ ref('base_cm_itunes') }} i on ac.itunes = i.id\nwhere country is not null\n\nunion all\n\nSelect shazam_track_id as \"ID_NUMERIC\", null as \"ID_STRING\", 'Shazam' as \"STORE\", 'Shazam Cities' as \"CHART_TYPE\",\ntimestp, country, ifnull(city, 'All Cities') as \"CITY\", 'All Genres' as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_shazam_chart') }} sc\nleft join {{ ref('base_cm_shazam') }} s on sc.shazam_track_id = s.id\nwhere country is not null\n\nunion all\n\nSelect null as \"ID_NUMERIC\", amazon as \"ID_STRING\", 'Amazon Music' as \"STORE\", 'Amazon Overall' as \"CHART_TYPE\",\ntimestp, 'GOBAL' as \"COUNTRY\", 'All Cities' as \"CITY\",\ntrim(ab.name) as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_amazon_chart') }} ac\nleft join {{ ref('base_cm_amazon') }} a on ac.amazon = a.id\nfull join {{ ref('base_cm_amazon_browse') }} ab on ac.amazon_browse = ab.id\nwhere ab.id is null AND rank is not null\n\nunion all\n\nSelect null as \"ID_NUMERIC\", amazon as \"ID_STRING\", 'Amazon Music' as \"STORE\", 'Amazon Genre' as \"CHART_TYPE\",\ntimestp, 'GLOBAL' as \"COUNTRY\", 'All Cities' as \"CITY\",\ntrim(ab.name) as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_amazon_chart') }} ac\nleft join {{ ref('base_cm_amazon') }} a on ac.amazon = a.id\nfull join {{ ref('base_cm_amazon_browse') }} ab on ac.amazon_browse = ab.id\nwhere ab.id is not null AND rank is not null\n\nunion all\n\n\nSelect deezer as \"ID_NUMERIC\", null as \"ID_STRING\",'Deezer' as \"STORE\", 'Deezer Track' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_deezer_chart') }} dc\nleft join {{ ref('base_cm_deezer') }} d on dc.deezer = d.id\nwhere country is not null\n\nunion all\n\nSelect soundcloud as \"ID_NUMERIC\", null as \"ID_STRING\",'Soundcloud' as \"STORE\", 'Soundcloud Top Genre' as \"CHART_TYPE\",\ntimestp, trim(country), 'All Cities' as \"CITY\", trim(sc.genre) as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_soundcloud_chart') }} sc\nleft join {{ ref('base_cm_soundcloud') }} s on sc.soundcloud = s.id\nwhere country is not null and trim(kind) = 'top'\n\nunion all\n\nSelect soundcloud as \"ID_NUMERIC\", null as \"ID_STRING\",'Soundcloud' as \"STORE\", 'Soundcloud Trending Genre' as \"CHART_TYPE\",\ntimestp, trim(country), 'All Cities' as \"CITY\", trim(sc.genre) as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_soundcloud_chart') }} sc\nleft join {{ ref('base_cm_soundcloud') }} s on sc.soundcloud = s.id\nwhere country is not null and trim(kind) = 'trending')\n\n select round(ID_NUMERIC) as id_num, ID_STRING, STORE, CHART_TYPE, TIMESTP, COUNTRY,\n CITY, GENRE, RANK, ISRC\n from ChartTypeUnion", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_chart", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_spotify_chart", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_itunes_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_itunes_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_apple_music_daily_top_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_shazam_chart", "model.my_new_project.base_cm_shazam", "model.my_new_project.base_cm_amazon_chart", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_browse", "model.my_new_project.base_cm_amazon_chart", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_browse", "model.my_new_project.base_cm_deezer_chart", "model.my_new_project.base_cm_deezer", "model.my_new_project.base_cm_soundcloud_chart", "model.my_new_project.base_cm_soundcloud", "model.my_new_project.base_cm_soundcloud_chart", "model.my_new_project.base_cm_soundcloud"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_unioned_chart_2"], "unique_id": "model.my_new_project.cm_unioned_chart_2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_unioned_chart_2.sql", "original_file_path": "models/chartmetric/cm_unioned_chart_2.sql", "name": "cm_unioned_chart_2", "alias": "cm_unioned_chart_2", "checksum": {"name": "sha256", "checksum": "409dd60a6bf02ba913a33e12a86c0948bf4ad06701c7fb0c922c9420405b1f83"}, "tags": [], "refs": [["base_cm_spotify_chart"], ["base_cm_spotify"], ["base_cm_spotify_chart"], ["base_cm_spotify"], ["base_cm_itunes_chart"], ["base_cm_itunes"], ["base_cm_itunes_chart"], ["base_cm_itunes"], ["base_cm_apple_music_daily_top_chart"], ["base_cm_itunes"], ["base_cm_shazam_chart"], ["base_cm_shazam"], ["base_cm_amazon_chart"], ["base_cm_amazon"], ["base_cm_amazon_browse"], ["base_cm_amazon_chart"], ["base_cm_amazon"], ["base_cm_amazon_browse"], ["base_cm_deezer_chart"], ["base_cm_deezer"], ["base_cm_soundcloud_chart"], ["base_cm_soundcloud"], ["base_cm_soundcloud_chart"], ["base_cm_soundcloud"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.1010118}, "model.my_new_project.cm_release_label": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith labels as (Select t.isrc, a.upc, a.name as release_name, a.release_date, a.label as release_label\nfrom {{ ref('base_cm_album') }} a\nleft join {{ ref('base_cm_l_track_cm_album') }} ta on a.id = ta.cm_album\ninner join {{ ref('base_cm_track') }} t on ta.cm_track = t.id\norder by a.upc),\n\nlabels_singular as (SELECT *\nFROM labels l INNER JOIN\n (\n SELECT isrc as isrc2, MIN(release_date) AS MinDate\n FROM labels\n GROUP BY isrc2\n ) t ON l.isrc = t.isrc2 AND l.release_date = t.MinDate)\n\nselect *, listagg(distinct(release_label), '| ')\nwithin group (order by release_label)\nover (partition by isrc2) as labels\nfrom labels_singular", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_album", "model.my_new_project.base_cm_l_track_cm_album", "model.my_new_project.base_cm_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_release_label"], "unique_id": "model.my_new_project.cm_release_label", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_release_label.sql", "original_file_path": "models/chartmetric/cm_release_label.sql", "name": "cm_release_label", "alias": "cm_release_label", "checksum": {"name": "sha256", "checksum": "1c70ca224762268f90909f8d43d502310bf0a1638bf148bd0f2b3efd9246e0f1"}, "tags": [], "refs": [["base_cm_album"], ["base_cm_l_track_cm_album"], ["base_cm_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.120199}, "model.my_new_project.cm_unioned_chart_advanced": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith ChartTypeUnion as (\n\nSelect spotify as \"ID_NUMERIC\", null as \"ID_STRING\", 'Spotify' as \"STORE\",'Spotify Viral (Daily)' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_spotify_chart') }} sc\nleft join {{ ref('base_cm_spotify') }} s on sc.spotify = s.id\nwhere sc.chart_type = 'viral'\nand sc.duration = 'daily'\nand country is not null\n\nunion all\n\nSelect spotify as \"ID_NUMERIC\", null as \"ID_STRING\", 'Spotify' as \"STORE\",'Spotify Regional (Daily)' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_spotify_chart') }} sc\nleft join {{ ref('base_cm_spotify') }} s on sc.spotify = s.id\nwhere sc.chart_type = 'regional'\nand sc.duration = 'daily'\nand country is not null\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\", 'iTunes' as \"STORE\", 'iTunes Overall' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\",\ngenre, rank, isrc\nfrom {{ ref('base_cm_itunes_chart') }} ic\nleft join {{ ref('base_cm_itunes') }} i on ic.itunes= i.id\nwhere ic.genre = 'All Genres'\nand country is not null\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\", 'iTunes' as \"STORE\", 'iTunes Genre' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\",\ngenre, rank, isrc\nfrom {{ ref('base_cm_itunes_chart') }} ic\nleft join {{ ref('base_cm_itunes') }} i on ic.itunes= i.id\nwhere ic.genre != 'All Genres' and ic.genre is not null\nand country is not null\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\",'Apple Music' as \"STORE\", 'Apple Music Daily' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_apple_music_daily_top_chart') }} ac\nleft join {{ ref('base_cm_itunes') }} i on ac.itunes = i.id\nwhere country is not null\n\nunion all\n\nSelect shazam_track_id as \"ID_NUMERIC\", null as \"ID_STRING\", 'Shazam' as \"STORE\", 'Shazam Cities' as \"CHART_TYPE\",\ntimestp, country, ifnull(city, 'All Cities') as \"CITY\", 'All Genres' as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_shazam_chart') }} sc\nleft join {{ ref('base_cm_shazam') }} s on sc.shazam_track_id = s.id\nwhere country is not null\n\nunion all\n\nSelect null as \"ID_NUMERIC\", amazon as \"ID_STRING\", 'Amazon Music' as \"STORE\", 'Amazon Overall' as \"CHART_TYPE\",\ntimestp, 'GOBAL' as \"COUNTRY\", 'All Cities' as \"CITY\",\ntrim(ab.name) as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_amazon_chart') }} ac\nleft join {{ ref('base_cm_amazon') }} a on ac.amazon = a.id\nfull join {{ ref('base_cm_amazon_browse') }} ab on ac.amazon_browse = ab.id\nwhere ab.id is null AND rank is not null\n\nunion all\n\nSelect null as \"ID_NUMERIC\", amazon as \"ID_STRING\", 'Amazon Music' as \"STORE\", 'Amazon Genre' as \"CHART_TYPE\",\ntimestp, 'GLOBAL' as \"COUNTRY\", 'All Cities' as \"CITY\",\ntrim(ab.name) as \"GENRE\", rank, isrc\nfrom {{ ref('base_cm_amazon_chart') }} ac\nleft join {{ ref('base_cm_amazon') }} a on ac.amazon = a.id\nfull join {{ ref('base_cm_amazon_browse') }} ab on ac.amazon_browse = ab.id\nwhere ab.id is not null AND rank is not null\n\nunion all\n\n\nSelect deezer as \"ID_NUMERIC\", null as \"ID_STRING\",'Deezer' as \"STORE\", 'Deezer Track' as \"CHART_TYPE\",\ntimestp, country, 'All Cities' as \"CITY\", 'All Genres' as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_deezer_chart') }} dc\nleft join {{ ref('base_cm_deezer') }} d on dc.deezer = d.id\nwhere country is not null\n\nunion all\n\nSelect soundcloud as \"ID_NUMERIC\", null as \"ID_STRING\",'Soundcloud' as \"STORE\", 'Soundcloud Top Genre' as \"CHART_TYPE\",\ntimestp, trim(country), 'All Cities' as \"CITY\", trim(sc.genre) as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_soundcloud_chart') }} sc\nleft join {{ ref('base_cm_soundcloud') }} s on sc.soundcloud = s.id\nwhere country is not null and trim(kind) = 'top'\n\nunion all\n\nSelect soundcloud as \"ID_NUMERIC\", null as \"ID_STRING\",'Soundcloud' as \"STORE\", 'Soundcloud Trending Genre' as \"CHART_TYPE\",\ntimestp, trim(country), 'All Cities' as \"CITY\", trim(sc.genre) as \"GENRE\",\nrank, isrc\nfrom {{ ref('base_cm_soundcloud_chart') }} sc\nleft join {{ ref('base_cm_soundcloud') }} s on sc.soundcloud = s.id\nwhere country is not null and trim(kind) = 'trending'),\n\nChartTypeUnion2 as (\nselect *\nfrom ChartTypeUnion)\n\nselect u.id_numeric, u.id_string, u.store as store_name, u.chart_type as chart_type, u2.chart_type as chart_type_2,\nu.timestp as date1, u2.timestp as date2, u.rank as rank1, u2.rank as rank2,\nu.country as country1, u2.country as country2, u.city as city1, u2.city as city2,\nu.genre as genre1, u2.genre as genre2, u.isrc as isrc1\nfrom ChartTypeUnion u\nleft outer join ChartTypeUnion u2 on u.isrc = u2.isrc and u.chart_type = u2.chart_type and u.country = u2.country\nand u.city = u2.city and u.genre = u2.genre and to_date(u2.timestp) = dateadd(day,-1,to_date(u.timestp))\nwhere u.store in ('Spotify','iTunes', 'Apple Music', 'Shazam', 'Amazon Music', 'Deezer', 'Soundcloud')", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_chart", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_spotify_chart", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_itunes_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_itunes_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_apple_music_daily_top_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_shazam_chart", "model.my_new_project.base_cm_shazam", "model.my_new_project.base_cm_amazon_chart", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_browse", "model.my_new_project.base_cm_amazon_chart", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_amazon_browse", "model.my_new_project.base_cm_deezer_chart", "model.my_new_project.base_cm_deezer", "model.my_new_project.base_cm_soundcloud_chart", "model.my_new_project.base_cm_soundcloud", "model.my_new_project.base_cm_soundcloud_chart", "model.my_new_project.base_cm_soundcloud"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_unioned_chart_advanced"], "unique_id": "model.my_new_project.cm_unioned_chart_advanced", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_unioned_chart_advanced.sql", "original_file_path": "models/chartmetric/cm_unioned_chart_advanced.sql", "name": "cm_unioned_chart_advanced", "alias": "cm_unioned_chart_advanced", "checksum": {"name": "sha256", "checksum": "e75cda6aaee3f854f7bd0b6c7a0b1262550ef05c5174096130c4d3f95771323d"}, "tags": [], "refs": [["base_cm_spotify_chart"], ["base_cm_spotify"], ["base_cm_spotify_chart"], ["base_cm_spotify"], ["base_cm_itunes_chart"], ["base_cm_itunes"], ["base_cm_itunes_chart"], ["base_cm_itunes"], ["base_cm_apple_music_daily_top_chart"], ["base_cm_itunes"], ["base_cm_shazam_chart"], ["base_cm_shazam"], ["base_cm_amazon_chart"], ["base_cm_amazon"], ["base_cm_amazon_browse"], ["base_cm_amazon_chart"], ["base_cm_amazon"], ["base_cm_amazon_browse"], ["base_cm_deezer_chart"], ["base_cm_deezer"], ["base_cm_soundcloud_chart"], ["base_cm_soundcloud"], ["base_cm_soundcloud_chart"], ["base_cm_soundcloud"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.1291146}, "model.my_new_project.cm_artist_editorials_spotify": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith artist_editorials as (\n\n with editorials as (\n\n select id as ID, playlist_id as PLAYLIST_URI, name as PLAYLIST_NAME, user_id as CURATOR, 'Spotify' as STORE\n from {{ ref('base_cm_spotify_playlist')}}\n where user_id = 'spotify')\n\n select spl.spotify_playlist, sa.cm_artist\n from {{ ref('base_cm_l_spotify_playlist')}} spl\n inner join editorials e on e.id = spl.spotify_playlist\n inner join {{ ref('base_cm_l_spotify_artist')}} sal on sal.spotify = spl.spotify\n inner join {{ ref('base_cm_spotify_artist')}} sa on sa.id = sal.spotify_artist\n group by 1,2\n order by 1,2)\n\nselect cm_artist, count(cm_artist) as editorial_count\nfrom artist_editorials\ngroup by 1\norder by 2 desc", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_playlist", "model.my_new_project.base_cm_l_spotify_playlist", "model.my_new_project.base_cm_l_spotify_artist", "model.my_new_project.base_cm_spotify_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_artist_editorials_spotify"], "unique_id": "model.my_new_project.cm_artist_editorials_spotify", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_artist_editorials_spotify.sql", "original_file_path": "models/chartmetric/cm_artist_editorials_spotify.sql", "name": "cm_artist_editorials_spotify", "alias": "cm_artist_editorials_spotify", "checksum": {"name": "sha256", "checksum": "df312374452b0fb0fb6e4e462102eccb45fdbb7e44aa7a286b08e7225c46b305"}, "tags": [], "refs": [["base_cm_spotify_playlist"], ["base_cm_l_spotify_playlist"], ["base_cm_l_spotify_artist"], ["base_cm_spotify_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.1441061}, "model.my_new_project.stg_cm_spotify_artist_clean": {"raw_sql": "--This table cleans the chartmetric spotify artist table to remove duplicate records for chartmetric artist ids due to multiple spotify artist ids being present for some cm artist ids.\n\n{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect\nsa.id,\nsa.spotify_artist_id,\nsa.genres,\nsa.popularity_latest,\nsa.followers_latest,\nsa.artist_name,\nsa.cm_artist,\nsa.description,\nsa.artwork_url,\nsa.last_updated,\nsa.created_at,\nsa.modified_at\n\nfrom (select \n(row_number() over (partition by cm_artist order by last_updated desc)) as update_rank,\n*\nfrom {{ ref('base_cm_spotify_artist')}}) as sa\nwhere update_rank = 1 --this cleans the table to extract the latest record only (due to multiple spotify_artist_ids for cm_artist)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "stg_cm_spotify_artist_clean"], "unique_id": "model.my_new_project.stg_cm_spotify_artist_clean", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/stg_cm_spotify_artist_clean.sql", "original_file_path": "models/chartmetric/stg_cm_spotify_artist_clean.sql", "name": "stg_cm_spotify_artist_clean", "alias": "stg_cm_spotify_artist_clean", "checksum": {"name": "sha256", "checksum": "9eac254cfd1b4bd9e0de25a706f1694ec9026366e68c75878a447b49969d0e57"}, "tags": [], "refs": [["base_cm_spotify_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.1550784}, "model.my_new_project.stg_cm_spotify_artist_stat_clean": {"raw_sql": "-- This query cleans the chartmetric spotify artist stat table to pull the latest record since the base table is a log table with multiple records per Spotify artist id.\n\n{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect\nsas.id,\nsas.spotify_artist,\nsas.followers,\nsas.popularity,\nsas.monthly_listeners,\nsas.timestp,\nsas.created_at,\nsas.modified_at\n\nfrom (select row_number() over(partition by spotify_artist order by timestp desc) as timestp_rank ,\n*\nfrom {{ ref('base_cm_spotify_artist_stat')}} \norder by followers desc) sas\nwhere timestp_rank = 1 --this cleans the table to extract the latest record only (due to multiple records per spotify artist)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_artist_stat"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "stg_cm_spotify_artist_stat_clean"], "unique_id": "model.my_new_project.stg_cm_spotify_artist_stat_clean", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/stg_cm_spotify_artist_stat_clean.sql", "original_file_path": "models/chartmetric/stg_cm_spotify_artist_stat_clean.sql", "name": "stg_cm_spotify_artist_stat_clean", "alias": "stg_cm_spotify_artist_stat_clean", "checksum": {"name": "sha256", "checksum": "21cb9f67e500ac202b10de1df733bd991bc613b258666bcae46c1f9298067592"}, "tags": [], "refs": [["base_cm_spotify_artist_stat"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.162872}, "model.my_new_project.cm_store_carveouts": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith track_upc as (select t.isrc, i.upc as upc\nfrom {{ ref('base_cm_track') }} t\ninner join {{ ref('base_dim_track') }} i on i.isrc = t.isrc),\n\n\ncareveouts as (select distinct(r.upc), rrs.list_aggregate_restrictions as store_restrictions\nfrom {{ ref('base_intelligence_restrictions_release_store') }} rrs\ninner join {{ ref('base_ar_releases') }} r on r.release_id = rrs.release_id\nwhere rrs.distribution_type = 'Full Track')\n\nselect t.isrc as isrc, t.upc as upc, c.store_restrictions as store_restrictions\nfrom track_upc t\nleft join careveouts c on c.upc = t.upc", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_track", "model.my_new_project.base_dim_track", "model.my_new_project.base_intelligence_restrictions_release_store", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_store_carveouts"], "unique_id": "model.my_new_project.cm_store_carveouts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_store_carveouts.sql", "original_file_path": "models/chartmetric/cm_store_carveouts.sql", "name": "cm_store_carveouts", "alias": "cm_store_carveouts", "checksum": {"name": "sha256", "checksum": "ace013c0126f20694caaf60b3006ae414d91fda3a375ea4da793a56ce70f10af"}, "tags": [], "refs": [["base_cm_track"], ["base_dim_track"], ["base_intelligence_restrictions_release_store"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.1709185}, "model.my_new_project.cm_unioned_chart": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith ChartUnion as(\n\nSelect spotify as \"ID_NUMERIC\", null as \"ID_STRING\", 'Spotify' as \"STORE\",\ntimestp, country, chart_type, null as \"CITY\", duration, null as \"GENRE\",\nplays, rank, isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_spotify_chart') }} sc\nleft join {{ ref('base_cm_spotify') }} c on sc.spotify = c.id\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\", 'iTunes' as \"STORE\",\ntimestp, country, null as \"CHART_TYPE\", null as \"CITY\", null as \"DURATION\",\ngenre, null as \"PLAYS\", rank, isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_itunes_chart') }} ic\nleft join {{ ref('base_cm_itunes') }} i on ic.itunes= i.id\n\nunion all\n\nSelect itunes as \"ID_NUMERIC\", null as \"ID_STRING\",\n'Apple Music' as \"STORE\", timestp, country, null as \"CHART_TYPE\",\nnull as \"CITY\", null as \"DURATION\", null as \"GENRE\", null as \"PLAYS\",\nrank, isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_apple_music_daily_top_chart') }} ac\nleft join {{ ref('base_cm_itunes') }} i on ac.itunes = i.id\n\nunion all\n\nSelect shazam_track_id as \"ID_NUMERIC\", null as \"ID_STRING\", 'Shazam' as \"STORE\",\ntimestp, country, null as \"CHART_TYPE\", city, null as \"DURATION\", null as \"GENRE\",\nnull as \"PLAYS\", rank, isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_shazam_chart') }} sc\nleft join {{ ref('base_cm_shazam') }} s on sc.shazam_track_id = s.id\n\nunion all\n\nSelect null as \"ID_NUMERIC\", amazon as \"ID_STRING\", 'Amazon Music' as \"STORE\",\ntimestp, null as \"COUNTRY\", null as \"CHART_TYPE\", null as \"CITY\", null as \"DURATION\",\nnull as \"GENRE\", null as \"PLAYS\", rank, isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_amazon_chart') }} ac\nleft join {{ ref('base_cm_amazon') }} a on ac.amazon = a.id\n\nunion all\n\nSelect null as \"ID_NUMERIC\", youtube as \"ID_STRING\",\n'YouTube' as \"STORE\", timestp, country, null as \"CHART_TYPE\",\nnull as \"CITY\", null as \"DURATION\", null as \"GENRE\",\nview_count as \"PLAYS\", position as \"RANK\", isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_youtube_track_chart') }} yc\nleft join {{ ref('base_cm_youtube') }} y on yc.youtube = y.id\n\nunion all\n\nSelect deezer as \"ID_NUMERIC\", null as \"ID_STRING\",\n'Deezer' as \"STORE\", timestp, country, null as \"CHART_TYPE\",\nnull as \"CITY\", null as \"DURATION\", null as \"GENRE\", null as \"PLAYS\",\nrank, isrc, null as \"POSTS\"\nfrom {{ ref('base_cm_deezer_chart') }} dc\nleft join {{ ref('base_cm_deezer') }} d on dc.deezer = d.id\n\nunion all\n\nSelect tiktok as \"ID_NUMERIC\", null as \"ID_STRING\", 'TikTok' as \"STORE\",\ntc.timestp, null as \"COUNTRY\",\nnull as \"CHART_TYPE\", null as \"CITY\", null as \"DURATION\", null as \"GENRE\",\nnull as \"PLAYS\", rank, isrc, null as posts\nfrom {{ ref('base_cm_tiktok_weekly_post_chart') }} tc\nleft join {{ ref('base_cm_tiktok') }} t on tc.tiktok = t.id)\n\nselect round(ID_NUMERIC) as id_num, ID_STRING, STORE, TIMESTP, COUNTRY, CHART_TYPE,\nCITY, DURATION, GENRE, PLAYS, RANK, ISRC as cmisrc, posts\nfrom ChartUnion", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_chart", "model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_itunes_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_apple_music_daily_top_chart", "model.my_new_project.base_cm_itunes", "model.my_new_project.base_cm_shazam_chart", "model.my_new_project.base_cm_shazam", "model.my_new_project.base_cm_amazon_chart", "model.my_new_project.base_cm_amazon", "model.my_new_project.base_cm_youtube_track_chart", "model.my_new_project.base_cm_youtube", "model.my_new_project.base_cm_deezer_chart", "model.my_new_project.base_cm_deezer", "model.my_new_project.base_cm_tiktok_weekly_post_chart", "model.my_new_project.base_cm_tiktok"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_unioned_chart"], "unique_id": "model.my_new_project.cm_unioned_chart", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_unioned_chart.sql", "original_file_path": "models/chartmetric/cm_unioned_chart.sql", "name": "cm_unioned_chart", "alias": "cm_unioned_chart", "checksum": {"name": "sha256", "checksum": "c934d3282d9d730c18eb38c802ccfd66e5b2dd93db1aeef19e691c712ef1a63d"}, "tags": [], "refs": [["base_cm_spotify_chart"], ["base_cm_spotify"], ["base_cm_itunes_chart"], ["base_cm_itunes"], ["base_cm_apple_music_daily_top_chart"], ["base_cm_itunes"], ["base_cm_shazam_chart"], ["base_cm_shazam"], ["base_cm_amazon_chart"], ["base_cm_amazon"], ["base_cm_youtube_track_chart"], ["base_cm_youtube"], ["base_cm_deezer_chart"], ["base_cm_deezer"], ["base_cm_tiktok_weekly_post_chart"], ["base_cm_tiktok"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.1809175}, "model.my_new_project.cm_orchard_owned_tracks": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith orchard_owned_tracks as(\n\nwith track_artists as (SELECT\n tuid,\n LISTAGG(DISTINCT primary_artist, ', ') WITHIN GROUP (ORDER BY primary_artist) AS primary_artists\n FROM (\n SELECT\n track_id AS tuid,\n CASE type WHEN 'performer' THEN name ELSE NULL END AS primary_artist\n FROM {{ ref('base_ar_track_artist')}}\n WHERE type IN ('performer')\n )\n GROUP BY 1)\n\nselect i.isrc, r.releaseid\nfrom {{ ref('base_dim_release')}} r\nleft join {{ ref('base_ar_releases')}} rr on rr.upc = r.releaseid\nleft join {{ ref('base_ar_distribution_format')}} df on df.distribution_format_id = rr.distribution_format_id\nleft join {{ ref('base_dim_isrc')}} i on i.upc = r.releaseid\nleft join {{ ref('base_dim_artist')}} a on r.artistid = a.artistid\nleft join track_artists ta on ta.tuid = i.track_id_uniq\nwhere r.compilation = 'N'\nand r.not_for_distribution = 'N'\nand r.release_status = 'in_content'\nand r.deletions = 'N'\nand a.artistname not like INITCAP('%various%') and a.artistname not like INITCAP('%v\u00e1rios%')\nand contains(lower(ta.primary_artists), lower(a.artistname))\nand df.context_type != 'physical')\n\nSelect distinct(isrc), releaseid from orchard_owned_tracks", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_track_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_orchard_owned_tracks"], "unique_id": "model.my_new_project.cm_orchard_owned_tracks", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_orchard_owned_tracks.sql", "original_file_path": "models/chartmetric/cm_orchard_owned_tracks.sql", "name": "cm_orchard_owned_tracks", "alias": "cm_orchard_owned_tracks", "checksum": {"name": "sha256", "checksum": "b747f3a7076c61a3d26b23c24abfa4ab1284a1fb3122904893a57171275f41a0"}, "tags": [], "refs": [["base_ar_track_artist"], ["base_dim_release"], ["base_ar_releases"], ["base_ar_distribution_format"], ["base_dim_isrc"], ["base_dim_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.193998}, "model.my_new_project.cm_territory_carevouts": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nwith track_upc as (select t.isrc, i.upc as upc\nfrom {{ ref('base_cm_track') }} t\ninner join {{ ref('base_dim_track') }} i on i.isrc = t.isrc),\n\n\ncareveouts as (select distinct(r.upc), rrt.list_aggregate_restrictions as country_restrictions\nfrom {{ ref('base_intelligence_restrictions_release_store') }} rrt\ninner join {{ ref('base_ar_releases') }} r on r.release_id = rrt.release_id)\n\nselect t.isrc as isrc, t.upc as upc, c.country_restrictions as country_restrictions\nfrom track_upc t\nleft join careveouts c on c.upc = t.upc", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_track", "model.my_new_project.base_dim_track", "model.my_new_project.base_intelligence_restrictions_release_store", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_territory_carevouts"], "unique_id": "model.my_new_project.cm_territory_carevouts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_territory_carevouts.sql", "original_file_path": "models/chartmetric/cm_territory_carevouts.sql", "name": "cm_territory_carevouts", "alias": "cm_territory_carevouts", "checksum": {"name": "sha256", "checksum": "86c6b9c64a17100d0645ad3b9e477d49b3b6ace96bd94e182b3a16ecf0663e50"}, "tags": [], "refs": [["base_cm_track"], ["base_dim_track"], ["base_intelligence_restrictions_release_store"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.2037754}, "model.my_new_project.cm_spotify_chart_appearances": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith spotify_all_time as(\n\nselect s.isrc, sc.spotify, sc.country, sc.chart_type, sc.rank\nfrom {{ ref('base_cm_spotify_chart') }} sc\nleft join {{ ref('base_cm_spotify') }} s on sc.spotify = s.id)\n\nselect isrc, count(isrc) as times_charted\nfrom spotify_all_time\ngroup by isrc\norder by 2 desc", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_chart", "model.my_new_project.base_cm_spotify"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_spotify_chart_appearances"], "unique_id": "model.my_new_project.cm_spotify_chart_appearances", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_spotify_chart_appearances.sql", "original_file_path": "models/chartmetric/cm_spotify_chart_appearances.sql", "name": "cm_spotify_chart_appearances", "alias": "cm_spotify_chart_appearances", "checksum": {"name": "sha256", "checksum": "f1d415ac4549c7bb7235af19304f58db10e0fd27e36fabcaf082233da913d41a"}, "tags": [], "refs": [["base_cm_spotify_chart"], ["base_cm_spotify"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.2141566}, "model.my_new_project.cm_track_artists": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith track_artists as (\nwith track_artist as (select t.name as track_name, t.isrc, a.name, a.id as cm_artist, a.code2 as cm_artist_country\nfrom {{ ref('base_cm_track') }} t\nleft join {{ ref('base_cm_l_track_cm_artist') }} cm on t.id = cm.cm_track\nleft join {{ ref('base_cm_cm_artist') }} a on a.id = cm.cm_artist)\n\nselect track_name, isrc as ISRC, cm_artist, name as artist_name, cm_artist_country as artist_country,\n LISTAGG(DISTINCT(artist_name), ', ')\n WITHIN GROUP (order by artist_name)\n OVER (PARTITION BY ISRC) as artists\nfrom track_artist)\n\nselect *\nfrom track_artists", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_track", "model.my_new_project.base_cm_l_track_cm_artist", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_track_artists"], "unique_id": "model.my_new_project.cm_track_artists", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_track_artists.sql", "original_file_path": "models/chartmetric/cm_track_artists.sql", "name": "cm_track_artists", "alias": "cm_track_artists", "checksum": {"name": "sha256", "checksum": "611abfe87b82d95cfd7a1e7b234bf7612f0527826456815feae2c6f4e7dc6dd3"}, "tags": [], "refs": [["base_cm_track"], ["base_cm_l_track_cm_artist"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.221785}, "model.my_new_project.cm_orchard_join": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect distinct\ngp.chartmetric_id as chartmetricid, \nlp.vendor_id as labelid, \nlp.subaccount_id as subaccountid, \nda.artist_id, lp.name, \nda.name as artistname, \nt.isrc as isrc, \nr.upc as upc, \nr.release_id as release_id\n from {{ ref('base_global_participant')}} gp\n inner join {{ ref('base_global_participant_represents_label_participant')}} gp_r_lp on gp_r_lp.global_participant_id = gp.id\n inner join {{ ref('base_label_participant')}} lp on gp_r_lp.label_participant_id = lp.id\n inner join {{ ref('base_label_participant_participated_in_orchard_track')}} lp_pi_ot on lp_pi_ot.label_participant_id = lp.id\n inner join {{ ref('base_dim_track_clean_mv')}} dt on dt.track_unique_id = lp_pi_ot.track_id\n inner join {{ ref('base_ar_releases')}} r on dt.upc = r.upc\n inner join {{ ref('base_ar_artist_info')}} da on da.artist_id = r.artist_id\n inner join {{ ref('base_intelligence_vw_active_vendor_contract')}} vw on vw.vendor_id = lp.vendor_id\n inner join {{ ref('base_ar_track')}} t on t.upc = r.upc\n where gp.name = da.name and gp.chartmetric_id != 1\n and r.compilation = 'N'\n and r.release_status = 'in_content'\n and r.deletions = 'N'\n and da.active != 'N'\norder by gp.chartmetric_id asc", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_global_participant", "model.my_new_project.base_global_participant_represents_label_participant", "model.my_new_project.base_label_participant", "model.my_new_project.base_label_participant_participated_in_orchard_track", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_orchard_join"], "unique_id": "model.my_new_project.cm_orchard_join", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_orchard_join.sql", "original_file_path": "models/chartmetric/cm_orchard_join.sql", "name": "cm_orchard_join", "alias": "cm_orchard_join", "checksum": {"name": "sha256", "checksum": "2b790094cab52a1439e52b87980e1777dd3ddcd84e6ae7ac9a21693c00f2e2d5"}, "tags": [], "refs": [["base_global_participant"], ["base_global_participant_represents_label_participant"], ["base_label_participant"], ["base_label_participant_participated_in_orchard_track"], ["base_dim_track_clean_mv"], ["base_ar_releases"], ["base_ar_artist_info"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.2298567}, "model.my_new_project.cm_spotify_change": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith spotify_change as (\n\nwith spotify_artists as (\nSelect *\nfrom (Select cm_artist as cma, name as name, max(followers_latest) as max_followers\n from {{ ref('base_cm_spotify_artist') }} sa\n left join {{ ref('base_cm_cm_artist') }} a on sa.cm_artist = a.id\n group by 1,2) as dta\ninner join {{ ref('base_cm_spotify_artist') }} sa on dta.cma = sa.cm_artist\n and dta.max_followers = sa.followers_latest)\n\nselect\n sa.cm_artist as cm_artist,\n sa.name as name,\n to_date(s.timestp) as date,\n s.monthly_listeners,\n s.followers,\n s.popularity\nfrom {{ ref('base_cm_spotify_artist_stat') }} s\nleft join spotify_artists sa on s.spotify_artist = sa.id),\n\ncurrent_spotify as (\n\nselect cm_artist, name, max(monthly_listeners) as monthly_listeners_current,\nmax(followers) as followers_current, max(popularity) as popularity_current\nfrom spotify_change\nwhere date >= (current_date - 4)\ngroup by 1,2),\n\npast_spotify as (\nselect cm_artist as cm_artist2, name as name2, max(monthly_listeners) as monthly_listeners_past,\nmax(followers) as followers_past, max(popularity) as popularity_past\nfrom spotify_change\nwhere date <= (current_date - 8) and date >= (current_date - 12)\ngroup by 1,2)\n\nselect cm_artist, name, monthly_listeners_current,\n((monthly_listeners_current - monthly_listeners_past)/nullifzero(monthly_listeners_past)) as monthly_listeners_change,\nfollowers_current,\n((followers_current - followers_past)/nullifzero(followers_past)) as followewrs_change,\npopularity_current,\n((popularity_current - popularity_past)/nullifzero(popularity_past)) as popularity_change\nfrom current_spotify cs\nleft join past_spotify ps on cs.cm_artist = ps.cm_artist2\ngroup by 1,2,3,4,5,6,7,8", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_artist", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.base_cm_spotify_artist", "model.my_new_project.base_cm_spotify_artist_stat"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_spotify_change"], "unique_id": "model.my_new_project.cm_spotify_change", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_spotify_change.sql", "original_file_path": "models/chartmetric/cm_spotify_change.sql", "name": "cm_spotify_change", "alias": "cm_spotify_change", "checksum": {"name": "sha256", "checksum": "8b69a1e84f1b9d3f9dd53d0143ddccf7fe38783e03eebf996768d38050ee750c"}, "tags": [], "refs": [["base_cm_spotify_artist"], ["base_cm_cm_artist"], ["base_cm_spotify_artist"], ["base_cm_spotify_artist_stat"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067938.2397647}, "model.my_new_project.cm_social_current": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_socials as (\n\nselect a.name as name, s.account_id as account_id, max(ig_followers) as current_ig_followers, max(fb_likes) as current_fb_likes,\nmax(tw_followers) as current_tw_followers, max(tt_followers) as current_tiktok_followers, max(yt_views) as current_youtube_views\nfrom {{ ref('cm_social_union') }} s\nleft join {{ ref('base_cm_cm_artist') }} a on to_varchar(a.id) = s.target_id\nwhere s.target = 'cm_artist'\nand to_date(timestp) >= (current_date - 4)\ngroup by 2,1),\n\npast_socials as (\n\nselect a.name as name2, s.account_id as account_id2, nullifzero(max(ig_followers)) as past_ig_followers,nullifzero(max(fb_likes)) as past_fb_likes,\nnullifzero(max(tw_followers)) as past_tw_followers, nullifzero(max(tt_followers)) as past_tiktok_followers, nullifzero(max(yt_views)) as past_youtube_views\nfrom {{ ref('cm_social_union') }} s\nleft join {{ ref('base_cm_cm_artist') }} a on to_varchar(a.id) = s.target_id\nwhere s.target = 'cm_artist'\nand to_date(timestp) <= (current_date - 8) and to_date(timestp) >= (current_date - 12)\ngroup by 2,1)\n\nselect name as name, account_id as account_id, current_ig_followers, ((current_ig_followers - past_ig_followers)/past_ig_followers) as ig_follower_change,\ncurrent_fb_likes, ((current_fb_likes - past_fb_likes)/past_fb_likes) as fb_likes_change,\ncurrent_tw_followers, ((current_tw_followers - past_tw_followers)/past_tw_followers) as tw_followers_change,\ncurrent_tiktok_followers, ((current_tiktok_followers - past_tiktok_followers)/past_tiktok_followers) as tiktok_followers_change,\ncurrent_youtube_views, ((current_youtube_views - past_youtube_views)/past_youtube_views) as youtube_views_change\nfrom current_socials cs\nleft join past_socials ps on cs.name = ps.name2 and cs.account_id = ps.account_id2\ngroup by 2,1,3,4,5,6,7,8,9,10,11,12", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.cm_social_union", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.cm_social_union", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "chartmetric", "cm_social_current"], "unique_id": "model.my_new_project.cm_social_current", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "chartmetric/cm_social_current.sql", "original_file_path": "models/chartmetric/cm_social_current.sql", "name": "cm_social_current", "alias": "cm_social_current", "checksum": {"name": "sha256", "checksum": "0f29cb9708299004d04d33c26ca513c9a0f451cb87217de585ff6419e3d89dec"}, "tags": [], "refs": [["cm_social_union"], ["base_cm_cm_artist"], 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{"macros": [], "nodes": ["source.my_new_project.prod_royalty_accounting_royalty_accounting.accounting_period"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "base", "base_orch_app_reporting_royalty_accounting", "base_accounting_period"], "unique_id": "model.my_new_project.base_accounting_period", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "base/base_orch_app_reporting_royalty_accounting/base_accounting_period.sql", "original_file_path": "models/base/base_orch_app_reporting_royalty_accounting/base_accounting_period.sql", "name": "base_accounting_period", "alias": "base_accounting_period", "checksum": {"name": "sha256", "checksum": "456e4eff9e5c7be855b78dddf871e7a5e69564fa4e5cda75579b786ac1d98105"}, "tags": [], "refs": [], "sources": [["prod_royalty_accounting_royalty_accounting", "accounting_period"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.3102984}, "model.my_new_project.base_accounting_run": {"raw_sql": "SELECT \n*\nFROM {{ source('prod_royalty_accounting_royalty_accounting','accounting_run') }}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod_royalty_accounting_royalty_accounting.accounting_run"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "base", "base_orch_app_reporting_royalty_accounting", "base_accounting_run"], "unique_id": "model.my_new_project.base_accounting_run", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "base/base_orch_app_reporting_royalty_accounting/base_accounting_run.sql", "original_file_path": "models/base/base_orch_app_reporting_royalty_accounting/base_accounting_run.sql", "name": "base_accounting_run", "alias": "base_accounting_run", "checksum": {"name": "sha256", "checksum": "a7dc32a0fc7073b1cd3dc0811118e292f785c15f3bcaea897921110048b35a2a"}, "tags": [], "refs": [], "sources": [["prod_royalty_accounting_royalty_accounting", "accounting_run"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.3132548}, "model.my_new_project.TSZ_FA": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'download_activty_date',\n 'incremental_strategy' : 'delete+insert',\n })\n}}\n\nselect *\nfrom {{ ref('base_fact_analytics') }} a \nwhere labelid = 32957", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "download_activty_date", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_reporting", "Three_Six_Zero", "TSZ_FA"], "unique_id": "model.my_new_project.TSZ_FA", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_reporting/Three_Six_Zero/TSZ_FA.sql", "original_file_path": "models/bi_looker_reporting/Three_Six_Zero/TSZ_FA.sql", "name": "TSZ_FA", "alias": "TSZ_FA", "checksum": {"name": "sha256", "checksum": "10d3ea68f43969203daa4e48299475ef389afd0bb12bc772c7564fa76eddbb81"}, "tags": [], "refs": [["base_fact_analytics"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "download_activty_date", "incremental_strategy": "delete+insert"}, "created_at": 1660067939.3162851}, "model.my_new_project.cherry_pick_reports": {"raw_sql": "{{\nconfig({\n 'materialized': 'table',\n 'full_refresh' : true\n })\n}}\n\n\n\nSELECT eligible.product_id,\n eligible.dms_id,\n eligible.upc,\n eligible.score\n FROM (\n SELECT distinct product_id,\n candidates.dms_id,\n candidates.upc,\n score\n FROM (\n select products.dms_id,\n cm.CUSTOMER_ID substore_id,\n cm.TERRITORY substore_territory_id,\n products.product_id,\n products.upc,\n r.product_type_id,\n products.score,\n a.vendor_id,\n r.subaccount_id,\n active_vendor_contract.active_vendor_contract_id\n from (\n select dms_id,\n product_id,\n upc,\n score\n from (\n select dms_id,\n product_id,\n upc,\n score,\n delivery_cap,\n row_number() over (partition by dms_id order by score desc) rank\n from (\n select dms_id,\n product_id,\n upc,\n delivery_cap,\n iff(genre_match, 1, 0) + iff(subgenre_match, 1, 0) +\n iff(label_match, 0.5, 0) +\n iff(subaccount_match, 0.5, 0) +\n iff(label_country_match, 0.25, 0) +\n iff(artist_country_match, 0.25, 0) +\n iff(label_priority_match, 0.625, 0) +\n iff(marketing_priority_match, 0.03125, 0) as score\n from (\n select store.customer_master_master_id dms_id,\n product.release_id product_id,\n product.upc,\n store.delivery_cap,\n (store.sale_start_date IS NOT NULL) and\n (product.sale_start_date >= store.sale_start_date) date_match,\n ARRAYS_OVERLAP(product.genre_ids, store.genre_ids) genre_match,\n ARRAYS_OVERLAP(product.subgenre_ids, store.subgenre_ids) subgenre_match,\n ARRAYS_OVERLAP(product.label_ids, store.label_ids) label_match,\n ARRAYS_OVERLAP(product.subaccount_ids, store.subaccount_ids) subaccount_match,\n ARRAYS_OVERLAP(product.label_countries, store.label_countries) label_country_match,\n ARRAYS_OVERLAP(product.artist_countries, store.artist_countries) artist_country_match,\n ARRAYS_OVERLAP(product.label_priorities, store.label_priorities) label_priority_match,\n ARRAYS_OVERLAP(product.marketing_priorities,\n store.marketing_priorities) marketing_priority_match,\n ARRAYS_OVERLAP(product.languages, store.languages) language_match,\n store.hd_only = 'Y' hd_match\n from (\n -- get all the stores\n select cmm.customer_master_master_id,\n cmm.hd_only,\n cmm.customer_name,\n cmm.delivery_cap,\n dpssd.start_date sale_start_date,\n array_agg(distinct dpg.genre_id) genre_ids,\n array_agg(distinct d.subgenre_id) subgenre_ids,\n array_agg(distinct dpl.label_id) label_ids,\n array_agg(distinct dps.subaccount_id) subaccount_ids,\n array_agg(distinct dplc.label_country_id) label_countries,\n array_agg(distinct dpac.artist_country_id) artist_countries,\n array_agg(distinct dplp.label_priority_id) label_priorities,\n array_agg(distinct dpmp.marketing_priority_id) marketing_priorities,\n array_agg(distinct dpml.language_code) languages\n from {{ ref('base_ar_customer_master_master') }} cmm\n inner join {{ ref('base_ar_customer_master_master_distribution_type') }} cmmdt\n on cmm.customer_master_master_id = cmmdt.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_artist_country') }} dpac\n on cmm.customer_master_master_id = dpac.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_genre') }} dpg\n on cmm.customer_master_master_id = dpg.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_label') }} dpl\n on cmm.customer_master_master_id = dpl.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_label_country') }} dplc\n on cmm.customer_master_master_id = dplc.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_label_priority') }} dplp\n on cmm.customer_master_master_id = dplp.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_marketing_priority') }} dpmp\n on cmm.customer_master_master_id = dpmp.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_meta_language') }} dpml\n on cmm.customer_master_master_id = dpml.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_sales_start_date') }} dpssd\n on cmm.customer_master_master_id = dpssd.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_subaccount') }} dps\n on cmm.customer_master_master_id = dps.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_subgenre') }} d\n on cmm.customer_master_master_id = d.customer_master_master_id\n where cmm.delivery_option = 'cherry_pick'\n and status = 'active'\n and cmmdt.distribution_type_id = 1\n group by cmm.customer_master_master_id,\n cmm.hd_only,\n cmm.customer_name,\n dpssd.start_date,\n cmm.delivery_cap\n having count(dpg.GENRE_ID) > 0\n or count(d.SUBGENRE_ID) > 0\n or count(dpl.LABEL_ID) > 0\n or count(dps.SUBACCOUNT_ID) > 0\n or count(dplc.LABEL_COUNTRY_ID) > 0\n or count(dpac.ARTIST_COUNTRY_ID) > 0\n or count(dplp.LABEL_PRIORITY_ID) > 0\n or count(dpmp.MARKETING_PRIORITY_ID) > 0\n or count(dpml.LANGUAGE_CODE) > 0\n ) as store\n cross join\n (\n -- Get eligible products and metadata\n select r.release_id,\n r.upc,\n r.sale_start_date,\n array_agg(distinct r.GENRE_ID) genre_ids,\n array_agg(distinct rs.SUBGENRE_ID) subgenre_ids,\n array_agg(distinct p.VENDOR_ID) label_ids,\n array_agg(distinct p.SUBACCOUNT_ID) subaccount_ids,\n array_agg(distinct c.ORCHARD_COUNTRY) label_countries,\n array_agg(distinct ai.ORCHARD_COUNTRY) artist_countries,\n array_agg(distinct v.PRIORITY) label_priorities,\n array_agg(distinct mp.PRIORITY) marketing_priorities,\n array_agg(distinct r.META_LANGUAGE) languages\n from {{ ref('base_ar_releases') }} r\n inner join {{ ref('base_ar_release_subgenre') }} rs\n on r.release_id = rs.release_id\n inner join {{ ref('base_ar_project') }} p\n on r.project_id = p.project_id\n inner join {{ ref('base_ar_artist_info') }} ai\n on r.artist_id = ai.artist_id\n inner join {{ ref('base_art_relations_vendor') }} v\n on v.vendor_id = p.vendor_id\n inner join {{ ref('base_ar_distribution_format') }} df\n on df.distribution_format_id = r.distribution_format_id\n left join {{ ref('base_ar_vend_contact') }} vc\n on vc.vendor_id = p.vendor_id and vc.master = 'Y'\n left join {{ ref('base_ar_contact') }} c\n on c.contact_id = vc.contact_id\n left join {{ ref('base_mkt_priority') }} mp\n on mp.release_id = r.release_id\n where r.release_status = 'in_content'\n and r.product_type_id = 1\n and df.context_type = 'digital'\n and r.DELETIONS = 'N'\n and r.NOT_FOR_DISTRIBUTION = 'N'\n -- and r.ingestion_completed BETWEEN range_start and range_end\n and r.ingestion_completed BETWEEN dateadd(days,-14,CURRENT_DATE()) and dateadd(days,-1,CURRENT_DATE())\n group by r.release_id, r.upc, r.sale_start_date\n ) as product\n where date_match\n or genre_match\n or subgenre_match\n or label_match\n or subaccount_match\n or label_country_match\n or artist_country_match\n or label_priority_match\n or marketing_priority_match\n or language_match\n or hd_match)))\n where delivery_cap is null\n or delivery_cap = 0\n or rank <= delivery_cap\n ) products\n inner join {{ ref('base_ar_releases') }} r\n on r.RELEASE_ID = products.product_id\n INNER JOIN {{ ref('base_ar_artist_info') }} a\n ON a.artist_id = r.artist_id\n INNER JOIN {{ ref('base_ar_distribution_format') }} df\n ON df.distribution_format_id = r.distribution_format_id\n INNER JOIN {{ ref('base_art_relations_vendor') }} v\n ON v.vendor_id = a.vendor_id AND v.status in ('signed', 'deletion')\n INNER JOIN {{ ref('base_ar_customer_master') }} cm\n on cm.CUSTOMER_MASTER_MASTER_ID = products.dms_id\n LEFT JOIN (\n SELECT vc.vendor_id,\n vcd.distribution_type_id,\n vc.id active_vendor_contract_id\n FROM {{ ref('base_ar_vendor_contract') }} vc\n INNER JOIN {{ ref('base_ar_vendor_contract_distribution_type') }} vcd\n ON vcd.vendor_contract_id = vc.id\n WHERE vc.cont_start <= CURRENT_DATE()\n AND (vc.cont_end >= CURRENT_DATE() OR vc.cont_end IS NULL)\n AND vcd.distribution_type_id = 1\n QUALIFY row_number() over (partition by vc.vendor_id, vcd.distribution_type_id order by vc.cont_start desc) =\n 1\n ) active_vendor_contract on active_vendor_contract.vendor_id = v.vendor_id and\n active_vendor_contract.distribution_type_id = r.PRODUCT_TYPE_ID\n ) candidates\n left join {{ ref('base_ar_subaccount_dms_master_restriction') }} sdmr\n ON sdmr.subaccount_id = candidates.subaccount_id AND\n sdmr.customer_master_master_id = candidates.dms_id\n left join {{ ref('base_ar_subaccount_dms_restriction') }} sdr\n ON sdr.subaccount_id = candidates.subaccount_id AND sdr.dms_id = candidates.substore_id\n left join {{ ref('base_ar_vendor_dms_master_restriction') }} vdmr\n ON vdmr.vendor_contract_id = candidates.active_vendor_contract_id AND\n vdmr.distribution_type_id = 1 AND candidates.dms_id = vdmr.customer_master_master_id\n left join {{ ref('base_ar_subaccount_territory_restriction') }} str\n ON str.subaccount_id = candidates.subaccount_id AND\n candidates.substore_id = str.country_id\n left join {{ ref('base_ar_release_dms_master_restriction') }} rdmr\n ON rdmr.release_id = candidates.product_id AND\n rdmr.distribution_type_id = candidates.product_type_id AND\n candidates.dms_id = rdmr.customer_master_master_id\n left join {{ ref('base_ar_release_dms_restriction') }} rdr\n ON rdr.release_id = candidates.product_id AND\n candidates.substore_id = rdr.dms_customer_id\n left join ORCHARD_APP_REPORTING_V2.ART_RELATIONS_PROD_ART_RELATIONS.release_territory_restriction rtr\n ON rtr.release_id = candidates.product_id AND\n candidates.substore_territory_id = rtr.country_id\n left join (select vc.id vendor_contract_id, TRY_TO_NUMBER(value) customer_id\n from {{ ref('base_ar_vendor_contract') }} vc, lateral split_to_table(vc.dms_carve_out, ',')\n where value != '') contract_dms\n on contract_dms.vendor_contract_id = candidates.active_vendor_contract_id AND\n contract_dms.customer_id = candidates.substore_id\n left join (select vc.id vendor_contract_id, TRY_TO_NUMBER(value) territory\n from {{ ref('base_ar_vendor_contract') }} vc, lateral split_to_table(vc.territory_carve_out, ',')\n where value != '') contract_territory\n on contract_territory.vendor_contract_id = candidates.active_vendor_contract_id AND\n contract_territory.territory = candidates.substore_territory_id\n where sdmr.subaccount_id IS NULL\n AND sdr.dms_id IS NULL\n AND vdmr.vendor_contract_id IS NULL\n AND str.subaccount_id IS NULL\n AND rdmr.release_id IS NULL\n AND rdr.release_id IS NULL\n AND rtr.release_id IS NULL\n AND contract_dms.vendor_contract_id IS NULL\n AND contract_territory.territory IS NULL) eligible\n LEFT JOIN {{ ref('base_ar_delivery_history') }} dh\n on dh.UPC = eligible.UPC and dh.CUSTOMER_MASTER_MASTER_ID = eligible.dms_id\n WHERE dh.DELIVERY_ID IS NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_customer_master_master", "model.my_new_project.base_ar_customer_master_master_distribution_type", "model.my_new_project.base_ar_dms_preferred_artist_country", "model.my_new_project.base_ar_dms_preferred_genre", "model.my_new_project.base_ar_dms_preferred_label", "model.my_new_project.base_ar_dms_preferred_label_country", "model.my_new_project.base_ar_dms_preferred_label_priority", "model.my_new_project.base_ar_dms_preferred_marketing_priority", "model.my_new_project.base_ar_dms_preferred_meta_language", "model.my_new_project.base_ar_dms_preferred_sales_start_date", "model.my_new_project.base_ar_dms_preferred_subaccount", "model.my_new_project.base_ar_dms_preferred_subgenre", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_release_subgenre", "model.my_new_project.base_ar_project", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_ar_vend_contact", "model.my_new_project.base_ar_contact", "model.my_new_project.base_mkt_priority", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_customer_master", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_vendor_contract_distribution_type", "model.my_new_project.base_ar_subaccount_dms_master_restriction", "model.my_new_project.base_ar_subaccount_dms_restriction", "model.my_new_project.base_ar_vendor_dms_master_restriction", "model.my_new_project.base_ar_subaccount_territory_restriction", "model.my_new_project.base_ar_release_dms_master_restriction", "model.my_new_project.base_ar_release_dms_restriction", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_delivery_history"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": true, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_reporting", "cherry_pick_reports", "cherry_pick_reports"], "unique_id": "model.my_new_project.cherry_pick_reports", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_reporting/cherry_pick_reports/cherry_pick_reports.sql", "original_file_path": "models/bi_looker_reporting/cherry_pick_reports/cherry_pick_reports.sql", "name": "cherry_pick_reports", "alias": "cherry_pick_reports", "checksum": {"name": "sha256", "checksum": "ef80489359287fc5242028fc21d6f4dc34a0220d031bf0ad3ae2732d8249fa7b"}, "tags": [], "refs": [["base_ar_customer_master_master"], ["base_ar_customer_master_master_distribution_type"], ["base_ar_dms_preferred_artist_country"], ["base_ar_dms_preferred_genre"], ["base_ar_dms_preferred_label"], ["base_ar_dms_preferred_label_country"], ["base_ar_dms_preferred_label_priority"], ["base_ar_dms_preferred_marketing_priority"], ["base_ar_dms_preferred_meta_language"], ["base_ar_dms_preferred_sales_start_date"], ["base_ar_dms_preferred_subaccount"], ["base_ar_dms_preferred_subgenre"], ["base_ar_releases"], ["base_ar_release_subgenre"], ["base_ar_project"], ["base_ar_artist_info"], ["base_art_relations_vendor"], ["base_ar_distribution_format"], ["base_ar_vend_contact"], ["base_ar_contact"], ["base_mkt_priority"], ["base_ar_releases"], ["base_ar_artist_info"], ["base_ar_distribution_format"], ["base_art_relations_vendor"], ["base_ar_customer_master"], ["base_ar_vendor_contract"], ["base_ar_vendor_contract_distribution_type"], ["base_ar_subaccount_dms_master_restriction"], ["base_ar_subaccount_dms_restriction"], ["base_ar_vendor_dms_master_restriction"], ["base_ar_subaccount_territory_restriction"], ["base_ar_release_dms_master_restriction"], ["base_ar_release_dms_restriction"], ["base_ar_vendor_contract"], ["base_ar_vendor_contract"], ["base_ar_delivery_history"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table", "full_refresh": true}, "created_at": 1660067939.3250577}, "model.my_new_project.cherry_pick_reports_old": {"raw_sql": "{{ config(full_refresh = true) }}\n\nselect\n dms_id,\n product_id,\n upc,\n score\nfrom (\n select dms_id,\n product_id,\n upc,\n score,\n delivery_cap,\n row_number() over (partition by dms_id order by score desc) rank\n from (\n select dms_id,\n product_id,\n upc,\n delivery_cap,\n iff(genre_match, 1, 0) + iff(subgenre_match, 1, 0) + iff(label_match, 0.5, 0) +\n iff(subaccount_match, 0.5, 0) +\n iff(label_country_match, 0.25, 0) + iff(artist_country_match, 0.25, 0) +\n iff(label_priority_match, 0.625, 0) +\n iff(marketing_priority_match, 0.03125, 0) as score\n from (\n select store.customer_master_master_id as dms_id, --dms_id,\n product.release_id as product_id, --product_id,\n product.upc,\n store.delivery_cap,\n (store.sale_start_date IS NOT NULL) and\n (product.sale_start_date >= store.sale_start_date) as date_match, --date_match,\n ARRAYS_OVERLAP(product.genre_ids, store.genre_ids) as genre_match, --genre_match,\n ARRAYS_OVERLAP(product.subgenre_ids, store.subgenre_ids) as subgenre_match, --subgenre_match,\n ARRAYS_OVERLAP(product.label_ids, store.label_ids) as label_match, --label_match,\n ARRAYS_OVERLAP(product.subaccount_ids, store.subaccount_ids) as subaccount_match, --subaccount_match,\n ARRAYS_OVERLAP(product.label_countries, store.label_countries) as label_country_match, --label_country_match,\n ARRAYS_OVERLAP(product.artist_countries, store.artist_countries) as artist_country_match, --artist_country_match,\n ARRAYS_OVERLAP(product.label_priorities, store.label_priorities) as label_priority_match, --label_priority_match,\n ARRAYS_OVERLAP(product.marketing_priorities,\n store.marketing_priorities) as marketing_priority_match, --marketing_priority_match,\n ARRAYS_OVERLAP(product.languages, store.languages) as language_match, --language_match,\n store.hd_only = 'Y' as hd_match --hd_match\n from (select cmm.customer_master_master_id,\n cmm.hd_only,\n cmm.customer_name,\n cmm.delivery_cap,\n dpssd.start_date as sale_start_date, --sale_start_date,\n array_agg(distinct dpg.genre_id) as genre_ids, --genre_ids,\n array_agg(distinct d.subgenre_id) as subgenre_ids, --subgenre_ids,\n array_agg(distinct dpl.label_id) as label_ids, --label_ids,\n array_agg(distinct dps.subaccount_id) as subaccount_ids, --subaccount_ids,\n array_agg(distinct dplc.label_country_id) as label_countries, --label_countries,\n array_agg(distinct dpac.artist_country_id) as artist_countries, --artist_countries,\n array_agg(distinct dplp.label_priority_id) as label_priorities, --label_priorities,\n array_agg(distinct dpmp.marketing_priority_id) as marketing_priorities, --marketing_priorities,\n array_agg(distinct dpml.language_code) as languages --languages\n from {{ ref('base_ar_customer_master_master') }} cmm\n left join {{ ref('base_ar_dms_preferred_artist_country') }} dpac\n on cmm.customer_master_master_id = dpac.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_genre') }} dpg\n on cmm.customer_master_master_id = dpg.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_label') }} dpl\n on cmm.customer_master_master_id = dpl.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_label_country') }} dplc\n on cmm.customer_master_master_id = dplc.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_label_priority') }} dplp\n on cmm.customer_master_master_id = dplp.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_marketing_priority') }} dpmp\n on cmm.customer_master_master_id = dpmp.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_meta_language') }} dpml\n on cmm.customer_master_master_id = dpml.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_sales_start_date') }} dpssd\n on cmm.customer_master_master_id = dpssd.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_subaccount') }} dps\n on cmm.customer_master_master_id = dps.customer_master_master_id\n left join {{ ref('base_ar_dms_preferred_subgenre') }} d\n on cmm.customer_master_master_id = d.customer_master_master_id\n -- where cmm.customer_master_master_id in (167) -- Juno records, for example\n group by cmm.customer_master_master_id, cmm.hd_only, cmm.customer_name,\n dpssd.start_date,\n cmm.delivery_cap) as store\n cross join\n (select r.release_id,\n r.upc,\n r.sale_start_date,\n array_agg(distinct r.GENRE_ID) as genre_ids, --genre_ids,\n array_agg(distinct rs.SUBGENRE_ID) as subgenre_ids, --subgenre_ids,\n array_agg(distinct p.VENDOR_ID) as label_ids, --label_ids,\n array_agg(distinct p.SUBACCOUNT_ID) as subaccount_ids, --subaccount_ids,\n array_agg(distinct c.ORCHARD_COUNTRY) as label_countries, --label_countries,\n array_agg(distinct ai.ORCHARD_COUNTRY) as artist_countries, --artist_countries,\n array_agg(distinct v.PRIORITY) as label_priorities, --label_priorities,\n array_agg(distinct mp.PRIORITY) as marketing_priorities, --marketing_priorities,\n array_agg(distinct r.META_LANGUAGE) as languages --languages\n from {{ ref('base_ar_releases') }} r\n inner join {{ ref('base_ar_release_subgenre') }} rs on r.release_id = rs.release_id\n inner join {{ ref('base_ar_project') }} p on r.project_id = p.project_id\n inner join {{ ref('base_ar_artist_info') }} ai on r.artist_id = ai.artist_id\n inner join {{ ref('base_art_relations_vendor') }} v on v.vendor_id = p.vendor_id\n inner join {{ ref('base_ar_distribution_format') }} df on df.distribution_format_id = r.distribution_format_id\n left join {{ ref('base_ar_vend_contact') }} vc on vc.vendor_id = p.vendor_id and vc.master = 'Y'\n left join {{ ref('base_ar_contact') }} c on c.contact_id = vc.contact_id\n left join orchard_app_reporting_v2.art_relations_prod_art_relations.mkt_priority mp on mp.release_id = r.release_id\n where r.release_status = 'in_content'\n and r.product_type_id = 1\n and df.context_type = 'digital'\n -- and r.ingestion_completed BETWEEN '2021-09-08' and '2021-09-09'\n and r.ingestion_completed BETWEEN dateadd(days,-14,CURRENT_DATE()) and dateadd(days,-1,CURRENT_DATE())\n group by r.release_id, r.upc, r.sale_start_date\n ) as product\n where date_match\n or genre_match\n or subgenre_match\n or label_match\n or subaccount_match\n or label_country_match\n or artist_country_match\n or label_priority_match\n or marketing_priority_match\n or language_match\n or hd_match)))\nwhere delivery_cap is null\n or delivery_cap = 0\n or rank <= delivery_cap\norder by dms_id, upc", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_customer_master_master", "model.my_new_project.base_ar_dms_preferred_artist_country", "model.my_new_project.base_ar_dms_preferred_genre", "model.my_new_project.base_ar_dms_preferred_label", "model.my_new_project.base_ar_dms_preferred_label_country", "model.my_new_project.base_ar_dms_preferred_label_priority", "model.my_new_project.base_ar_dms_preferred_marketing_priority", "model.my_new_project.base_ar_dms_preferred_meta_language", "model.my_new_project.base_ar_dms_preferred_sales_start_date", "model.my_new_project.base_ar_dms_preferred_subaccount", "model.my_new_project.base_ar_dms_preferred_subgenre", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_release_subgenre", "model.my_new_project.base_ar_project", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_ar_vend_contact", "model.my_new_project.base_ar_contact"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": true, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_reporting", "cherry_pick_reports", "cherry_pick_reports_old"], "unique_id": "model.my_new_project.cherry_pick_reports_old", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_reporting/cherry_pick_reports/cherry_pick_reports_old.sql", "original_file_path": "models/bi_looker_reporting/cherry_pick_reports/cherry_pick_reports_old.sql", "name": "cherry_pick_reports_old", "alias": "cherry_pick_reports_old", "checksum": {"name": "sha256", "checksum": "868b86e44b014a95e787c7d8edc7fa57d914a9efed2fb3d97df6af24788f7f5b"}, "tags": [], "refs": [["base_ar_customer_master_master"], ["base_ar_dms_preferred_artist_country"], ["base_ar_dms_preferred_genre"], ["base_ar_dms_preferred_label"], ["base_ar_dms_preferred_label_country"], ["base_ar_dms_preferred_label_priority"], ["base_ar_dms_preferred_marketing_priority"], ["base_ar_dms_preferred_meta_language"], ["base_ar_dms_preferred_sales_start_date"], ["base_ar_dms_preferred_subaccount"], ["base_ar_dms_preferred_subgenre"], ["base_ar_releases"], ["base_ar_release_subgenre"], ["base_ar_project"], ["base_ar_artist_info"], ["base_art_relations_vendor"], ["base_ar_distribution_format"], ["base_ar_vend_contact"], ["base_ar_contact"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"full_refresh": true}, "created_at": 1660067939.3485587}, "model.my_new_project.ifpi_country_label_level_accounting": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\nbi_accounting.country_code as country_code,\n\n CASE\n WHEN bi_accounting.labelid = 11054 THEN '00'\n WHEN bi_accounting.labelid = 11055 THEN '01'\n WHEN bi_accounting.labelid = 11002 THEN '02'\n WHEN bi_accounting.labelid = 11249 THEN '03'\n WHEN bi_accounting.labelid = 10893 THEN '04'\n WHEN bi_accounting.labelid = 22380 THEN '05'\n WHEN bi_accounting.labelid = 10881 THEN '06'\n WHEN bi_accounting.labelid = 11297 THEN '07'\n WHEN bi_accounting.labelid = 28705 THEN '08'\n WHEN bi_accounting.labelid = 28706 THEN '09'\n ELSE '10'\n END AS main_portuguese_labels_or_other__sort,\n CASE\n WHEN bi_accounting.labelid = 11054 THEN 'Vidisco'\n WHEN bi_accounting.labelid = 11055 THEN 'Farol'\n WHEN bi_accounting.labelid = 11002 THEN 'Fantasy Day Unipessoal'\n WHEN bi_accounting.labelid = 11249 THEN 'Espacial'\n WHEN bi_accounting.labelid = 10893 THEN 'Ova\u00e7ao'\n WHEN bi_accounting.labelid = 22380 THEN 'La Folie'\n WHEN bi_accounting.labelid = 10881 THEN 'SevenMuses'\n WHEN bi_accounting.labelid = 11297 THEN 'Edi\u00e7oes Valentim'\n WHEN bi_accounting.labelid = 28705 THEN 'Regi Brainstorm'\n WHEN bi_accounting.labelid = 28706 THEN 'Regi Music'\n ELSE 'Other'\n END AS main_portuguese_labels_or_other,\n\n CASE\n WHEN bi_accounting.labelid = 21786 THEN '0'\n ELSE '1'\n END AS label_is_som_livre__sort,\n CASE\n WHEN bi_accounting.labelid = 21786 THEN 'Som Livre'\n ELSE 'Other'\n END AS label_is_som_livre,\n\nbi_accounting.storeid AS store_id,\n\nbi_accounting.transac_type_abbr AS transac_type_abbr,\n\nbi_accounting.accounting_month AS accounting_month_month,\n\nCOALESCE(SUM(bi_accounting.gross_revenue_usd ), 0) AS gross_revenue_usd\n \nFROM {{ ref('base_prod_bi_accounting') }} bi_accounting\nWHERE (CASE\n WHEN bi_accounting.label_ownerid=162 THEN 'SME Africa'\n WHEN bi_accounting.label_ownerid=154 THEN 'SME Australia'\n WHEN bi_accounting.label_ownerid=172 THEN 'SME Australia (Direct)'\n WHEN bi_accounting.label_ownerid=155 THEN 'SME Austria'\n WHEN bi_accounting.label_ownerid=151 THEN 'SME Belgium'\n WHEN bi_accounting.label_ownerid=146 THEN 'SME Canada'\n WHEN bi_accounting.label_ownerid=147 THEN 'SME COLOMBIA'\n WHEN bi_accounting.label_ownerid=169 THEN 'SME Colombia (Direct Payment)'\n WHEN bi_accounting.label_ownerid=152 THEN 'SME Denmark'\n WHEN bi_accounting.label_ownerid=156 THEN 'SME Finland'\n WHEN bi_accounting.label_ownerid=148 THEN 'SME France'\n WHEN bi_accounting.label_ownerid=157 THEN 'SME Germany'\n WHEN bi_accounting.label_ownerid=158 THEN 'SME India'\n WHEN bi_accounting.label_ownerid=159 THEN 'SME Italy'\n WHEN bi_accounting.label_ownerid=171 THEN 'SME Mexico'\n WHEN bi_accounting.label_ownerid=153 THEN 'SME Netherlands'\n WHEN bi_accounting.label_ownerid=174 THEN 'SME New Zealand'\n WHEN bi_accounting.label_ownerid=160 THEN 'SME Norway'\n WHEN bi_accounting.label_ownerid=161 THEN 'SME Russia'\n WHEN bi_accounting.label_ownerid=163 THEN 'SME Spain'\n WHEN bi_accounting.label_ownerid=150 THEN 'SME Sweden'\n WHEN bi_accounting.label_ownerid=164 THEN 'SME Switzerland'\n WHEN bi_accounting.label_ownerid=165 THEN 'SME Turkey'\n WHEN bi_accounting.label_ownerid=166 THEN 'SME United Kingdom'\n WHEN bi_accounting.label_ownerid=149 THEN 'SME US Latin'\n WHEN bi_accounting.label_ownerid=168 THEN 'SME US Latin (Direct Payment)'\n WHEN bi_accounting.label_ownerid=167 THEN 'SME USA'\n WHEN bi_accounting.label_ownerid=119 THEN 'Sony Music Entertainment, International'\n WHEN bi_accounting.label_ownerid=115 THEN 'Sony Music Entertainment-Germany'\n ELSE 'Other'\n END) = 'Other'\n\nAND ((UPPER(( bi_accounting.label_owner )) <> UPPER('REDESSENT') OR ( bi_accounting.label_owner ) IS NULL)) \n\nAND ((bi_accounting.release_product_type ) <> 'Movie' \n \nAND (bi_accounting.release_product_type ) <> 'TV Show' OR (bi_accounting.release_product_type ) IS NULL) \nAND ((bi_accounting.transac_type_abbr ) <> 'TH' AND ((bi_accounting.transac_type_abbr ) <> 'NT' AND (bi_accounting.transac_type_abbr ) <> 'VR') \n AND ((bi_accounting.transac_type_abbr ) <> 'VS' AND (bi_accounting.transac_type_abbr ) <> 'VU' AND ((bi_accounting.transac_type_abbr ) <> 'TL' AND (bi_accounting.transac_type_abbr ) <> 'PH')) \n OR (bi_accounting.transac_type_abbr ) IS NULL) \n \n \nAND accounting_month_month >= '2021-01-01'\n \nGROUP BY 8,1,2,3,4,5,6,7\nORDER BY 8,1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_prod_bi_accounting"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "ifpi_strategy_finance", "ifpi_country_label_level_accounting"], "unique_id": "model.my_new_project.ifpi_country_label_level_accounting", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/ifpi_strategy_finance/ifpi_country_label_level_accounting.sql", "original_file_path": "models/bi_looker_application/custom_datasets/ifpi_strategy_finance/ifpi_country_label_level_accounting.sql", "name": "ifpi_country_label_level_accounting", "alias": "ifpi_country_label_level_accounting", "checksum": {"name": "sha256", "checksum": "1297b01349ac8da3847ad410da9d7479190bbae55299e6d2af03564c60dbe3a0"}, "tags": [], "refs": [["base_prod_bi_accounting"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.3635647}, "model.my_new_project.digital_bulk_template": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH mkt_program_info_snowflake AS (select\n mkt_program_info_id,\n mkt_program_id,\n info_for,\n info_for_id,\n subject,\n date_added,\n last_updated,\n attachment,\n scope,\n client,\n listagg(distinct REGEXP_REPLACE(description,'(<[^>]+?>| )'), ' . ') as description\n from {{ ref('base_ar_mkt_program_info') }}\n group by 1,2,3,4,5,6,7,8,9,10)\n , track_publisher_snowflake AS (select tp.cd, tp.upc, tp.ownership, tp.unique_track_id, tp.track_id, listagg(distinct tp.publisher_name, ', ') as publisher_name\n from {{ ref('base_ar_track_publisher') }} tp\n group by 1, 2, 3, 4, 5)\n , track_writer_snowflake AS (select tw.cd, tw.track_id, tw.unique_track_id, tw.upc, listagg(distinct tw.writer_name, ', ') as writer_name\n from {{ ref('base_ar_track_writer') }} tw\n group by 1, 2, 3, 4)\n , track_artist_snowflake AS (SELECT ta.track_id, ta.type, listagg(distinct ta.name, ', ') within group (order by ta.name) as name\n from {{ ref('base_ar_track_artist') }} ta\n group by 1,2)\n , release_artist_snowflake AS (SELECT ra.upc, ra.role, ra.release_id, listagg(distinct ra.artist_name, ', ') as artist_name\n from {{ ref('base_ar_release_artist') }} ra\n group by 1, 2, 3)\n , performer_primary_snowflake AS (select a.unique_track_id\n , listagg(a.performer_type || '|' || a.birth_name || '|' || a.performer_role, '|') as performer_info\nfrom\n (select p.unique_track_id\n , p.performer_type\n , p.birth_name\n , pr.performer_role\n , row_number() over(partition by p.unique_track_id order by p.birth_name) as artist_count\n from {{ ref('base_potot_performer') }} p\n left join {{ ref('base_potot_performer_role') }} pr on p.performer_role_id=pr.performer_role_id\n where p.performer_type='primary'\n order by p.unique_track_id) a\nwhere artist_count<=5\ngroup by 1\n )\n \nSELECT\n v.vendor_id as label_id,\n r.release_name AS release_name,\n l.LANGUAGE AS meta_language_release,\n ai.name AS artist_name,\n c.name AS country_name,\n s.subaccount_id as subaccount_id,\n s.subaccount_name AS subaccount_name,\n ai.url AS artist_url,\n rasp.artist_name AS release_artist_name_performer,\n rasf.artist_name AS release_artist_name_featuring,\n rasr.artist_name AS release_artist_name_remixer,\n raspo.artist_name AS release_artist_name_producer,\n rasc.artist_name AS release_artist_name_composer,\n raso.artist_name AS release_artist_name_orchestra,\n rase.artist_name AS release_artist_name_ensemble,\n rasco.artist_name AS release_artist_name_conductor,\n (TO_CHAR(TO_DATE(r.release_date ), 'YYYY-MM-DD')) AS release_date,\n (TO_CHAR(TO_DATE(r.sale_start_date ), 'YYYY-MM-DD')) AS sale_start_date,\n dt.DUMMY_FIELD_17 AS dummy_field_17,\n dt.DUMMY_FIELD_18 AS dummy_field_18,\n dt.DUMMY_FIELD_19 AS dummy_field_19,\n opta.NAME AS album_name,\n r.format AS release_format,\n r.label AS label,\n g.genre AS genre,\n ss.name AS subgenre,\n r.c_line AS release_c_line,\n r.p_line as release_p_line,\n --dt.DUMMY_FIELD_20 AS dummy_field_20,\n dt.DUMMY_FIELD_16 AS dummy_field_16,\n r.display_upc AS display_upc,\n p.PROJECT_CODE AS project_code,\n r.product_code AS product_code,\n r.version AS release_version,\n t.upc || '_' || t.cd ||'_' || t.track_id || '.wav' AS filename,\n t.cd AS cd,\n t.track_id AS track_id,\n t.track_name AS track_name,\n t.meta_language as track_audio_language,\n -- lt.LANGUAGE AS meta_language_track,\n t.version AS track_version,\n tasp.name AS track_artist_name_performer,\n tasf.name AS track_artist_name_featuring,\n tasr.name AS track_artist_name_remixer,\n --dt.DUMMY_FIELD_21 AS dummy_field_21,\n taspr.name as track_artist_name_producer,\n tasc.name AS track_artist_name_composer,\n taso.name AS track_artist_name_orchestra,\n tase.name AS track_artist_name_ensemble,\n tasco.name AS track_artist_name_conductor,\n optt.NAME AS orchard_pricing_tier_track_name,\n case when t.explicit_lyrics = 'Y'\n THEN 'Yes'\n WHEN t.explicit_lyrics = 'N'\n THEN 'No'\n WHEN t.explicit_lyrics = 'C'\n THEN 'Clean'\n ELSE t.explicit_lyrics\n END AS explicit_lyrics,\n t.isrc AS isrc,\n CASE WHEN t.third_party_publisher = 'Y'\n THEN 'Yes'\n WHEN t.third_party_publisher = 'N'\n THEN 'No'\n Else t.third_party_publisher\n END AS third_party_publisher,\n t.p_line AS p_line,\n tmr.RIGHTS_LEVEL AS rights_level,\n rc.name AS recording_country_name,\n tpn_country.name AS track_producer_nationality_country_name,\n mpisl.description AS lyrics,\n track_writer_snowflake.writer_name AS track_writer_name_full,\n track_publisher_snowflake.PUBLISHER_NAME AS publisher_name,\n performer_primary_snowflake.PERFORMER_INFO AS track_performer_info,\n dt.DUMMY_FIELD_1 AS dummy_field_1,\n dt.DUMMY_FIELD_2 AS dummy_field_2,\n dt.DUMMY_FIELD_3 AS dummy_field_3,\n dt.DUMMY_FIELD_4 AS dummy_field_4,\n dt.DUMMY_FIELD_5 AS dummy_field_5,\n dt.DUMMY_FIELD_6 AS dummy_field_6,\n dt.DUMMY_FIELD_7 AS dummy_field_7,\n dt.DUMMY_FIELD_8 AS dummy_field_8,\n dt.DUMMY_FIELD_9 AS dummy_field_9,\n dt.DUMMY_FIELD_10 AS dummy_field_10,\n dt.DUMMY_FIELD_11 AS dummy_field_11,\n dt.DUMMY_FIELD_12 AS dummy_field_12,\n dt.DUMMY_FIELD_13 AS dummy_field_13,\n dt.DUMMY_FIELD_14 AS dummy_field_14,\n dt.DUMMY_FIELD_15 AS dummy_field_15,\n listagg(distinct( rtr_country.abbrivation ),'|') within group (order by rtr_country.abbrivation ) AS list_restrictions_pipe_separated\n \n \nFROM {{ ref('base_ar_track') }} t\nLEFT JOIN {{ ref('base_ar_country') }} rc ON t.recording_country = rc.id\nLEFT JOIN {{ ref('base_ar_track_producer_nationality') }} tpn ON t.id = tpn.track_id\nLEFT JOIN {{ ref('base_ar_country') }} tpn_country ON tpn.nationality_country_id = tpn_country.id\nLEFT JOIN {{ ref('base_ar_track_master_rights') }} tmr ON tmr.TRACK_ID=t.id\nLEFT JOIN {{ ref('base_ar_releases') }} r ON r.release_id = t.release_id\nLEFT JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id=ai.artist_id\nLEFT JOIN {{ ref('base_ar_country') }} c ON ai.orchard_country=c.id\nLEFT JOIN {{ ref('base_ar_genre') }} g ON g.genre_id = r.genre_id\nLEFT JOIN {{ ref('base_art_relations_vendor') }} v ON v.vendor_id = ai.vendor_id\nLEFT JOIN {{ ref('base_ar_subaccount') }} s ON r.subaccount_id=s.subaccount_id\nLEFT JOIN {{ ref('base_ar_release_territory_restriction') }} rtr ON r.release_id = rtr.release_id\nLEFT JOIN {{ ref('base_ar_country') }} rtr_country ON rtr.country_id = rtr_country.id\nLEFT JOIN mkt_program_info_snowflake mpisl ON mpisl.info_for_id=t.id AND mpisl.info_for ='track' and mpisl.mkt_program_id=21\nLEFT JOIN {{ ref('base_ar_release_subgenre') }} rss ON rss.release_id=r.release_id\nLEFT JOIN {{ ref('base_ar_subgenre') }} ss ON ss.orchard_id=rss.subgenre_id\nLEFT JOIN {{ ref('base_ar_rp_product_orchard_pricing_tier') }} popta ON popta.PRODUCT_ID=r.release_id and popta.PRICING_FAMILY_ID=2\n\n\nLEFT JOIN {{ ref('base_ar_rp_orchard_pricing_tier') }} opta ON opta.ORCHARD_PRICING_TIER_ID=popta.ORCHARD_PRICING_TIER_ID\nLEFT JOIN {{ ref('base_ar_rp_product_orchard_pricing_tier') }} poptt ON poptt.PRODUCT_ID=r.release_id and poptt.PRICING_FAMILY_ID=3\nLEFT JOIN {{ ref('base_ar_rp_orchard_pricing_tier') }} optt ON optt.ORCHARD_PRICING_TIER_ID=poptt.ORCHARD_PRICING_TIER_ID\n\n\n\nLEFT JOIN track_publisher_snowflake ON track_publisher_snowflake.UNIQUE_TRACK_ID = t.id\nLEFT JOIN track_writer_snowflake ON track_writer_snowflake.UNIQUE_TRACK_ID=t.id\n\n\nLEFT JOIN track_artist_snowflake tasp ON tasp.TRACK_ID =t.id and tasp.type='performer'\nLEFT JOIN track_artist_snowflake tasf ON tasf.TRACK_ID =t.id and tasf.type='featuring'\nLEFT JOIN track_artist_snowflake tasr ON tasr.TRACK_ID =t.id and tasr.type='remixer'\nLEFT JOIN track_artist_snowflake tasc ON tasc.TRACK_ID =t.id and tasc.type='composer'\nLEFT JOIN track_artist_snowflake taso ON taso.TRACK_ID =t.id and taso.type='orchestra'\nLEFT JOIN track_artist_snowflake tase ON tase.TRACK_ID =t.id and tase.type = 'ensemble' \nLEFT JOIN track_artist_snowflake tasco ON tasco.TRACK_ID =t.id and tasco.type='conductor'\nleft join track_artist_snowflake taspr ON taspr.TRACK_ID =t.id and tasp.type='producer'\n\n\nLEFT JOIN release_artist_snowflake rasp ON rasp.UPC= r.upc and rasp.ROLE='performer'\nLEFT JOIN release_artist_snowflake rasf ON rasf.UPC= r.upc and rasf.ROLE='featuring'\nLEFT JOIN release_artist_snowflake rasr ON rasr.UPC= r.upc and rasr.ROLE='remixer'\nLEFT JOIN release_artist_snowflake rasc ON rasc.UPC= r.upc and rasc.ROLE='composer'\nLEFT JOIN release_artist_snowflake raso ON raso.UPC= r.upc and raso.ROLE='orchestra'\nLEFT JOIN release_artist_snowflake rase ON rase.UPC= r.upc and rase.ROLE='ensemble'\nLEFT JOIN release_artist_snowflake rasco ON rasco.UPC= r.upc and rasco.ROLE='conductor'\nLEFT JOIN release_artist_snowflake raspo ON raspo.UPC= r.upc and raspo.ROLE='producer'\n \n \nLEFT JOIN {{ ref('base_ar_project') }} p ON p.PROJECT_ID=r.project_id\nLEFT JOIN {{ ref('base_ar_language') }} l ON l.LANGUAGE_CODE=r.meta_language\nLEFT JOIN {{ ref('base_ar_language') }} lt ON lt.LANGUAGE_CODE = t.meta_language\nLEFT JOIN {{ ref('base_intelligence_dev_dummy_table') }} dt ON dt.JOIN_KEY=t.id\nLEFT JOIN performer_primary_snowflake ON t.id=performer_primary_snowflake.UNIQUE_TRACK_ID\n\n--where v.vendor_id = 28533\n\nGROUP BY\n 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74\nORDER BY\n 28,33,34", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_mkt_program_info", "model.my_new_project.base_ar_track_publisher", "model.my_new_project.base_ar_track_writer", "model.my_new_project.base_ar_track_artist", "model.my_new_project.base_ar_release_artist", "model.my_new_project.base_potot_performer", "model.my_new_project.base_potot_performer_role", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_country", "model.my_new_project.base_ar_track_producer_nationality", "model.my_new_project.base_ar_country", "model.my_new_project.base_ar_track_master_rights", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_ar_country", "model.my_new_project.base_ar_genre", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_subaccount", "model.my_new_project.base_ar_release_territory_restriction", "model.my_new_project.base_ar_country", "model.my_new_project.base_ar_release_subgenre", "model.my_new_project.base_ar_subgenre", "model.my_new_project.base_ar_rp_product_orchard_pricing_tier", "model.my_new_project.base_ar_rp_orchard_pricing_tier", "model.my_new_project.base_ar_rp_product_orchard_pricing_tier", "model.my_new_project.base_ar_rp_orchard_pricing_tier", "model.my_new_project.base_ar_project", "model.my_new_project.base_ar_language", "model.my_new_project.base_ar_language", "model.my_new_project.base_intelligence_dev_dummy_table"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "digital_bulk_template", "digital_bulk_template"], "unique_id": "model.my_new_project.digital_bulk_template", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/digital_bulk_template/digital_bulk_template.sql", "original_file_path": "models/bi_looker_application/custom_datasets/digital_bulk_template/digital_bulk_template.sql", "name": "digital_bulk_template", "alias": "digital_bulk_template", "checksum": {"name": "sha256", "checksum": "df93942028c4c31212b396c2151bd6217b689e42496f2f8440d73ba7ec7f33e8"}, "tags": [], "refs": [["base_ar_mkt_program_info"], ["base_ar_track_publisher"], ["base_ar_track_writer"], ["base_ar_track_artist"], ["base_ar_release_artist"], ["base_potot_performer"], ["base_potot_performer_role"], ["base_ar_track"], ["base_ar_country"], ["base_ar_track_producer_nationality"], ["base_ar_country"], ["base_ar_track_master_rights"], ["base_ar_releases"], ["base_ar_artist_info"], ["base_ar_country"], ["base_ar_genre"], ["base_art_relations_vendor"], ["base_ar_subaccount"], ["base_ar_release_territory_restriction"], ["base_ar_country"], ["base_ar_release_subgenre"], ["base_ar_subgenre"], ["base_ar_rp_product_orchard_pricing_tier"], ["base_ar_rp_orchard_pricing_tier"], ["base_ar_rp_product_orchard_pricing_tier"], ["base_ar_rp_orchard_pricing_tier"], ["base_ar_project"], ["base_ar_language"], ["base_ar_language"], ["base_intelligence_dev_dummy_table"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.3720632}, "model.my_new_project.accounting_last_12_months_activity_date": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nselect \n da.artistid as artist_id,\n da.artistname as artist_name,\n dc.countryname as country_name,\n ds.storename as store_name,\n ds.storeid as store_id,\n \n dtg.transaction_group as transaction_group,\n CASE \n WHEN dt.transactiontypeid IN (1,17,48 ) THEN 'Premium' \n WHEN dt.transactiontypeid IN (9,10, 19, 27, 31, 33, 37,38) THEN 'Free' \n ELSE 'Other' \n END as premium_vs_free,\n\n date_from_parts(fs.activityyear, fs.activitymonth, '01') as activity_month,\n dc.continent as continent,\n fs.labelid as label_id,\n dl.labelname as label_name,\n dlc.countryname as label_country,\n df.context_type as context_type,\n dg.genrename as genre,\n o.owner_name as owner,\n pt.product_type as product_type,\n \n sum(fs.net_receipt) as net_rev_usd,\n sum(fs.gross) as gross_rev_usd,\n \n sum(fs.sales) as units\n \n \n \n from {{ ref('base_fact_sales') }} fs\n left join {{ ref('base_dim_country') }} dc on fs.countryid = dc.countryid\n left join {{ ref('base_dim_label') }} dl on fs.labelid = dl.labelid\n left join {{ ref('base_dim_country') }} dlc on dl.countryid = dlc.countryid\n left join {{ ref('base_dim_store') }} ds on fs.storeid = ds.storeid\n --left join facts.prod.dim_track dt on fs.trackid = dt.trackid\n left join {{ ref('base_dim_artist') }} da on fs.artistid = da.artistid\n --left join facts.prod.dim_period dp on fs.accountingperiodid = dp.periodid\n left join {{ ref('base_dim_release') }} dr on fs.releaseid = dr.releaseid\n left join {{ ref('base_dim_genre') }} dg on dr.genreid = dg.genreid\n left join {{ ref('base_dim_transaction_type') }} dt on fs.transactiontypeid = dt.transactiontypeid\n left join {{ ref('base_intelligence_transaction_type_group') }} dtg on dt.transactiontypeid = dtg.transactiontypeid\n left join {{ ref('base_art_relations_vendor') }} v on dl.labelid = v.vendor_id\n left join {{ ref('base_ar_owner') }} o on v.owner = o.owner_abbrivation\n left join {{ ref('base_ar_releases') }} r on dr.product_id = r.release_id\n left join {{ ref('base_ar_distribution_format') }} df on r.distribution_format_id = df.distribution_format_id\n left join {{ ref('base_ar_product_type') }} pt on dr.product_type_id = pt.id\n --left join intelligence.prod.territory_grouping_v2 tg on dc.countryid = tg.countryid\n \n \n where \n (date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date()))) and (date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())))\n \n \n group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_store", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_genre", "model.my_new_project.base_dim_transaction_type", "model.my_new_project.base_intelligence_transaction_type_group", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_owner", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_ar_product_type"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "revenue_and_consumption_report", "accounting_last_12_months_activity_date"], "unique_id": "model.my_new_project.accounting_last_12_months_activity_date", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/revenue_and_consumption_report/accounting_last_12_months_activity_date.sql", "original_file_path": "models/bi_looker_application/custom_datasets/revenue_and_consumption_report/accounting_last_12_months_activity_date.sql", "name": "accounting_last_12_months_activity_date", "alias": "accounting_last_12_months_activity_date", "checksum": {"name": "sha256", "checksum": "22868e6dd347d8f4334ae92f6510a25be3a1a8db195f523fd2c59f4d84febef4"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_country"], ["base_dim_label"], ["base_dim_country"], ["base_dim_store"], ["base_dim_artist"], ["base_dim_release"], ["base_dim_genre"], ["base_dim_transaction_type"], ["base_intelligence_transaction_type_group"], ["base_art_relations_vendor"], ["base_ar_owner"], ["base_ar_releases"], ["base_ar_distribution_format"], ["base_ar_product_type"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.390679}, "model.my_new_project.last_month_accounting_info": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect \n dt.isrc as isrc,\n dt.trackname as track_name,\n dr.releaseid as upc,\n dr.releasename as release_name,\n da.artistid as artist_id,\n da.artistname as artist_name,\n dc.countryname as country_name,\n ds.storename as store_name,\n ds.storeid as store_id,\n --tg.trending_tracks_country_group_name as territory_group,\n date_from_parts(fs.accountingyear, fs.accountingmonth, '01') as accounting_month,\n dc.continent as continent,\n fs.labelid as label_id,\n dl.labelname as label_name,\n dlc.countryname as label_country,\n df.context_type as context_type,\n dg.genrename as genre,\n o.owner_name as owner,\n \n sum(fs.net_receipt) as net_rev_usd,\n sum(fs.gross) as gross_rev_usd,\n sum(fs.sales) as units\n \n \n \n \n \n from {{ ref('base_fact_sales') }} fs\n left join {{ ref('base_dim_country') }} dc on fs.countryid = dc.countryid\n left join {{ ref('base_dim_label') }} dl on fs.labelid = dl.labelid\n left join {{ ref('base_dim_country') }} dlc on dl.countryid = dlc.countryid\n left join {{ ref('base_dim_store') }} ds on fs.storeid = ds.storeid\n left join {{ ref('base_dim_track') }} dt on fs.trackid = dt.trackid\n left join {{ ref('base_dim_artist') }} da on fs.artistid = da.artistid\n --left join facts.prod.dim_period dp on fs.accountingperiodid = dp.periodid\n left join {{ ref('base_dim_release') }} dr on fs.releaseid = dr.releaseid\n left join {{ ref('base_dim_genre') }} dg on dr.genreid = dg.genreid\n left join {{ ref('base_art_relations_vendor') }} v on dl.labelid = v.vendor_id\n left join {{ ref('base_ar_owner') }} o on v.owner = o.owner_abbrivation\n left join {{ ref('base_ar_releases') }} r on dr.product_id = r.release_id\n left join {{ ref('base_ar_distribution_format') }} df on r.distribution_format_id = df.distribution_format_id\n --left join intelligence.prod.territory_grouping_v2 tg on dc.countryid = tg.countryid\n \n \n where \n (date_from_parts(fs.accountingyear, fs.accountingmonth, '01') >= dateadd('month', -2, date_trunc('month', current_date()))) and (date_from_parts(fs.accountingyear, fs.accountingmonth, '01') < dateadd('month', -1, date_trunc('month', current_date())))\n \n group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_store", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_genre", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_owner", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_distribution_format"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "territory_monthly_snapshot", "last_month_accounting_info"], "unique_id": "model.my_new_project.last_month_accounting_info", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/territory_monthly_snapshot/last_month_accounting_info.sql", "original_file_path": "models/bi_looker_application/custom_datasets/territory_monthly_snapshot/last_month_accounting_info.sql", "name": "last_month_accounting_info", "alias": "last_month_accounting_info", "checksum": {"name": "sha256", "checksum": "d20b7ecc021febaa2789411394a33f373ea5338c2695dcef673a3c2f15b3d9c2"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_country"], ["base_dim_label"], ["base_dim_country"], ["base_dim_store"], ["base_dim_track"], ["base_dim_artist"], ["base_dim_release"], ["base_dim_genre"], ["base_art_relations_vendor"], ["base_ar_owner"], ["base_ar_releases"], ["base_ar_distribution_format"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.4037259}, "model.my_new_project.rev_and_profit_last_12_months": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nselect \n dc.countryname as country_name,\n --tg.trending_tracks_country_group_name as territory_group,\n date_from_parts(fs.accountingyear, fs.accountingmonth, '01') as accounting_month,\n ds.storename as store_name,\n ds.storeid as store_id,\n dc.continent as continent,\n fs.labelid as label_id,\n dl.labelname as label_name,\n dlc.countryname as label_country,\n df.context_type as context_type,\n dg.genrename as genre,\n o.owner_name as owner,\n \n sum(fs.net_receipt) as net_rev_usd,\n sum(fs.gross) as gross_rev_usd,\n \n gross_rev_usd - net_rev_usd as orchard_profit\n \n \n \n from {{ ref('base_fact_sales') }} fs\n left join {{ ref('base_dim_country') }} dc on fs.countryid = dc.countryid\n left join {{ ref('base_dim_label') }} dl on fs.labelid = dl.labelid\n left join {{ ref('base_dim_country') }} dlc on dl.countryid = dlc.countryid\n left join {{ ref('base_dim_store') }} ds on fs.storeid = ds.storeid\n --left join facts.prod.dim_period dp on fs.accountingperiodid = dp.periodid\n left join {{ ref('base_dim_release') }} dr on fs.releaseid = dr.releaseid\n left join {{ ref('base_dim_genre') }} dg on dr.genreid = dg.genreid\n left join {{ ref('base_art_relations_vendor') }} v on dl.labelid = v.vendor_id\n left join {{ ref('base_ar_owner') }} o on v.owner = o.owner_abbrivation\n left join {{ ref('base_ar_releases') }} r on dr.product_id = r.release_id\n left join {{ ref('base_ar_distribution_format') }} df on r.distribution_format_id = df.distribution_format_id\n\n \n \n where \n (date_from_parts(fs.accountingyear, fs.accountingmonth, '01') >= dateadd('month', -13, date_trunc('month', current_date()))) and (date_from_parts(fs.accountingyear, fs.accountingmonth, '01') < dateadd('month', -1, date_trunc('month', current_date())))\n \n group by 1,2,3,4,5,6,7,8,9,10,11", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_store", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_genre", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_owner", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_distribution_format"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "territory_monthly_snapshot", "rev_and_profit_last_12_months"], "unique_id": "model.my_new_project.rev_and_profit_last_12_months", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/territory_monthly_snapshot/rev_and_profit_last_12_months.sql", "original_file_path": "models/bi_looker_application/custom_datasets/territory_monthly_snapshot/rev_and_profit_last_12_months.sql", "name": "rev_and_profit_last_12_months", "alias": "rev_and_profit_last_12_months", "checksum": {"name": "sha256", "checksum": "1ca53cb656c02463eaaa228c15c6462b0caac5ea605f5e53a19a75667dc22568"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_country"], ["base_dim_label"], ["base_dim_country"], ["base_dim_store"], ["base_dim_release"], ["base_dim_genre"], ["base_art_relations_vendor"], ["base_ar_owner"], ["base_ar_releases"], ["base_ar_distribution_format"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.4176307}, "model.my_new_project.spatial_audio_delivery_history_search": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n releases.upc AS upc,\n artist_info.name AS name,\n releases.release_name AS release_name,\n (DATE(releases.preorder_date)) AS preorder_date,\n (DATE(releases.sale_start_date)) AS sale_start_date,\n vendor.vendor_id AS vendor_id,\n IFF(vendor.company IS NULL OR vendor.company = '', vendor.name, vendor.company)\n AS vendor_name,\n releases.label AS label,\n concat(orchadmin_users.f_name,' ',orchadmin_users.l_name) AS full_name,\n mkt_priority.priority AS priority,\n delivery_history.customer_master_master_id AS customer_master_master_id,\n customer_master_master_snowflake_2.customer_name AS customer_name,\n (DATE(delivery_history.date_delivered)) AS date_delivered\nFROM\n {{ ref('base_ar_releases') }} AS releases\n LEFT JOIN {{ ref('base_ar_artist_info') }} AS artist_info ON releases.artist_id = artist_info.artist_id\n LEFT JOIN {{ ref('base_art_relations_vendor') }} AS vendor ON artist_info.vendor_id = vendor.vendor_id\n LEFT JOIN {{ ref('base_ar_mkt_priority') }} AS mkt_priority ON releases.release_id = mkt_priority.release_id AND mkt_priority.id IS NOT NULL\n LEFT JOIN {{ ref('base_ar_orchadmin_users') }} AS orchadmin_users ON vendor.assigned_to = orchadmin_users.id\n LEFT JOIN {{ ref('base_ar_delivery_history') }} AS delivery_history ON releases.upc = delivery_history.upc\n LEFT JOIN {{ ref('base_ar_customer_master_master') }} AS customer_master_master_snowflake_2 ON delivery_history.customer_master_master_id = customer_master_master_snowflake_2.customer_master_master_id\nWHERE (( encoder_id = 26)\n )\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13\nORDER BY\n priority DESC", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_mkt_priority", "model.my_new_project.base_ar_orchadmin_users", "model.my_new_project.base_ar_delivery_history", "model.my_new_project.base_ar_customer_master_master"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "spatial_audio_delivery_history_search", "spatial_audio_delivery_history_search"], "unique_id": "model.my_new_project.spatial_audio_delivery_history_search", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/spatial_audio_delivery_history_search/spatial_audio_delivery_history_search.sql", "original_file_path": "models/bi_looker_application/custom_datasets/spatial_audio_delivery_history_search/spatial_audio_delivery_history_search.sql", "name": "spatial_audio_delivery_history_search", "alias": "spatial_audio_delivery_history_search", "checksum": {"name": "sha256", "checksum": "d8dd86a3139d57d181f9f6406a41820a9d9c253ed7f2fb0f58c97a8815f4ea86"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_artist_info"], ["base_art_relations_vendor"], ["base_ar_mkt_priority"], ["base_ar_orchadmin_users"], ["base_ar_delivery_history"], ["base_ar_customer_master_master"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.4287562}, "model.my_new_project.accounting_last_24_months_activity_date_track_level": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nselect \n dt.isrc as isrc,\n dt.trackname as track_name,\n dr.releaseid as upc,\n dr.releasename as release_name,\n dr.releasedate as release_date,\n dr.sale_start_date as sale_start_date,\n da.artistid as artist_id,\n da.artistname as artist_name,\n dc.countryname as country_name,\n ds.storename as store_name,\n ds.storeid as store_id,\n \n dtg.transaction_group as transaction_group,\n date_from_parts(fs.activityyear, fs.activitymonth, '01') as activity_month,\n dc.continent as continent,\n fs.labelid as label_id,\n dl.labelname as label_name,\n dlc.countryname as label_country,\n oa.f_name||' '||oa.l_name as label_manager,\n df.context_type as context_type,\n dg.genrename as genre,\n \n \n sum(fs.net_receipt) as net_rev_usd,\n sum(fs.gross) as gross_rev_usd,\n \n sum(fs.sales) as units\n \n \n from {{ ref('base_fact_sales') }} fs\n left join {{ ref('base_dim_country') }} dc on fs.countryid = dc.countryid\n left join {{ ref('base_dim_label') }} dl on fs.labelid = dl.labelid\n left join {{ ref('base_dim_country') }} dlc on dl.countryid = dlc.countryid\n left join {{ ref('base_dim_store') }} ds on fs.storeid = ds.storeid\n left join {{ ref('base_dim_track') }} dt on fs.trackid = dt.trackid\n left join {{ ref('base_dim_artist') }} da on fs.artistid = da.artistid\n left join {{ ref('base_dim_release') }} dr on fs.releaseid = dr.releaseid\n left join {{ ref('base_dim_genre') }} dg on dr.genreid = dg.genreid\n left join {{ ref('base_dim_transaction_type') }} dtt on fs.transactiontypeid = dtt.transactiontypeid\n left join {{ ref('base_intelligence_transaction_type_group') }} dtg on dtt.transactiontypeid = dtg.transactiontypeid\n left join {{ ref('base_art_relations_vendor') }} v on dl.labelid = v.vendor_id\n left join {{ ref('base_ar_owner') }} o on v.owner = o.owner_abbrivation\n left join {{ ref('base_ar_releases') }} r on dr.product_id = r.release_id\n left join {{ ref('base_ar_distribution_format') }} df on r.distribution_format_id = df.distribution_format_id\n left join {{ ref('base_ar_orchadmin_users') }} oa on v.assigned_to = oa.id\n \n \n where \n (date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date()))) and (date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())))\n \n \n group by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20\n order by activity_month desc, country_name", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_store", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_genre", "model.my_new_project.base_dim_transaction_type", "model.my_new_project.base_intelligence_transaction_type_group", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_owner", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_ar_orchadmin_users"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "top_content_by_revenue", "accounting_last_24_months_activity_date_track_level"], "unique_id": "model.my_new_project.accounting_last_24_months_activity_date_track_level", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/top_content_by_revenue/accounting_last_24_months_activity_date_track_level.sql", "original_file_path": "models/bi_looker_application/custom_datasets/top_content_by_revenue/accounting_last_24_months_activity_date_track_level.sql", "name": "accounting_last_24_months_activity_date_track_level", "alias": "accounting_last_24_months_activity_date_track_level", "checksum": {"name": "sha256", "checksum": "c57d6e0141df15cc119852616eb4bbe11a448cc2c8127b7e77215b506f20a200"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_country"], ["base_dim_label"], ["base_dim_country"], ["base_dim_store"], ["base_dim_track"], ["base_dim_artist"], ["base_dim_release"], ["base_dim_genre"], ["base_dim_transaction_type"], ["base_intelligence_transaction_type_group"], ["base_art_relations_vendor"], ["base_ar_owner"], ["base_ar_releases"], ["base_ar_distribution_format"], ["base_ar_orchadmin_users"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.449752}, "model.my_new_project.per_play_rate_last_4_years": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nSELECT\n date_from_parts(fs.accountingyear, fs.accountingmonth, '01') as accounting_month,\n dc.countryname AS country_name,\n ds.storename AS store_name,\n dt.transactiontypedesc AS transaction_type_description,\n dtg.transaction_group AS transaction_group,\n ds.storeid AS store_id,\n\n\n CASE WHEN (ds.storename = 'Amazon Music' AND dt.transactiontypeabbr = 'S') THEN 'Amazon Unlimited'\n WHEN (ds.storename = 'Amazon Music' AND dt.transactiontypeabbr = 'MT') THEN 'Amazon Prime'\n WHEN (ds.storename = 'Amazon Music' AND dt.transactiontypeabbr = 'AS') THEN 'Amazon Free'\n ELSE ds.storename END\n\n\n AS store_amazon_breakdown,\n COALESCE(SUM(fs.gross ), 0) AS gross_revenue_usd,\n COALESCE(SUM(fs.sales ), 0) AS units\n \n \nFROM {{ ref('base_fact_sales') }} fs\nLEFT JOIN {{ ref('base_dim_country') }} dc ON fs.countryid = dc.countryid\nLEFT JOIN {{ ref('base_dim_store') }} ds ON fs.storeid = ds.storeid\nLEFT JOIN {{ ref('base_dim_transaction_type') }} dt ON fs.transactiontypeid = dt.transactiontypeid\nLEFT JOIN {{ ref('base_intelligence_transaction_type_group') }} dtg ON dt.transactiontypeid = dtg.transactiontypeid\n\nWHERE\n(date_from_parts(fs.accountingyear, fs.accountingmonth, '01') >= dateadd('month', -49, date_trunc('month', current_date()))) and (date_from_parts(fs.accountingyear, fs.accountingmonth, '01') < dateadd('month', -1, date_trunc('month', current_date())))\n\n\nAND ((UPPER(( dtg.transaction_group )) = UPPER('Streaming')))\nGROUP BY 1,2,3,4,5,6,7\nORDER BY\n 1 DESC", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_store", "model.my_new_project.base_dim_transaction_type", "model.my_new_project.base_intelligence_transaction_type_group"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "per_play_rate", "per_play_rate_last_4_years"], "unique_id": "model.my_new_project.per_play_rate_last_4_years", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/per_play_rate/per_play_rate_last_4_years.sql", "original_file_path": "models/bi_looker_application/custom_datasets/per_play_rate/per_play_rate_last_4_years.sql", "name": "per_play_rate_last_4_years", "alias": "per_play_rate_last_4_years", "checksum": {"name": "sha256", "checksum": "344fe750ac64e7c1730937f899c28908a1080a238a0aeb164ac943e69250fc36"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_country"], ["base_dim_store"], ["base_dim_transaction_type"], ["base_intelligence_transaction_type_group"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.4748347}, "model.my_new_project.label_performance_spreadsheet": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect \n\n label_manager.f_name||' '||label_manager.l_name as label_manager,\n dl.labelid as label_id,\n dl.labelname as label_name,\n (to_char(to_date(vc.cont_end), 'YYYY-MM-DD')) as contract_end_date,\n closer.f_name||' '||closer.l_name as closer,\n dc.currency_code as payout_currency_code,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())) then fs.net_receipt end\n ) as net_rev_last_12_months_usd,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -14, date_trunc('month', current_date())) then fs.net_receipt end\n ) as net_rev_last_12_to_24_months_usd,\n \n (net_rev_last_12_months_usd/nullif(net_rev_last_12_to_24_months_usd,0))-1 as net_rev_yoy_change_usd,\n \n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())) then fs.sales end\n ) as units_last_12_months,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -14, date_trunc('month', current_date())) then fs.sales end\n ) as units_last_12_to_24_months,\n \n (units_last_12_months/nullif(units_last_12_to_24_months,0))-1 as units_yoy_change,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())) and fs.storeid = 286 then fs.sales end\n ) as spotify_units_last_12_months,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -14, date_trunc('month', current_date())) and fs.storeid = 286 then fs.sales end\n ) as spotify_units_last_12_to_24_months,\n \n (spotify_units_last_12_months/nullif(spotify_units_last_12_to_24_months,0))-1 as spotify_units_yoy_change,\n \n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())) and fs.storeid = 1 then fs.sales end\n ) as apple_units_last_12_months,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -14, date_trunc('month', current_date())) and fs.storeid = 1 then fs.sales end\n ) as apple_units_last_12_to_24_months,\n \n (apple_units_last_12_months/nullif(apple_units_last_12_to_24_months,0))-1 as apple_units_yoy_change,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())) and fs.storeid = 187 then fs.sales end\n ) as amazon_units_last_12_months,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -14, date_trunc('month', current_date())) and fs.storeid = 187 then fs.sales end\n ) as amazon_units_last_12_to_24_months,\n \n (amazon_units_last_12_months/nullif(amazon_units_last_12_to_24_months,0))-1 as amazon_units_yoy_change,\n \n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -14, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -2, date_trunc('month', current_date())) and fs.storeid != 187 and fs.storeid != 1 and fs.storeid != 286 then fs.sales end\n ) as other_stores_units_last_12_months,\n \n sum(\n case \n when date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())) and date_from_parts(fs.activityyear, fs.activitymonth, '01') < dateadd('month', -14, date_trunc('month', current_date())) and fs.storeid != 187 and fs.storeid != 1 and fs.storeid != 286 then fs.sales end\n ) as other_stores_units_last_12_to_24_months,\n \n (other_stores_units_last_12_months/nullif(other_stores_units_last_12_to_24_months,0))-1 as other_stores_units_yoy_change\n \n\n\n\nfrom {{ ref('base_fact_sales') }} fs\nleft join {{ ref('base_dim_currency') }} dc on fs.payout_currency_id = dc.currencyid\nleft join {{ ref('base_dim_label') }} dl on fs.labelid = dl.labelid\nleft join {{ ref('base_art_relations_vendor') }} v on dl.labelid = v.vendor_id\nleft join {{ ref('base_ar_orchadmin_users') }} label_manager on v.assigned_to = label_manager.id\nleft join {{ ref('base_ar_vendor_contract') }} vc on fs.labelid = vc.vendor_id\nleft join {{ ref('base_intelligence_vw_active_vendor_contract') }} avc on vc.id = avc.vendor_contract_id\nleft join {{ ref('base_ar_orchadmin_users') }} as closer on try_to_numeric(vc.orchrep_name) = closer.id\n--left join facts.prod.dim_period dp on fs.activityperiodid = dp.periodid\nleft join {{ ref('base_dim_store') }} ds on fs.storeid = ds.storeid\n\n\nwhere\n--fs.labelid = 28533\n--and\niff(avc.vendor_contract_id is null, false, true)\nand (ds.storename <> 'TikTok')\nand (date_from_parts(fs.activityyear, fs.activitymonth, '01') >= dateadd('month', -26, date_trunc('month', current_date())))\n\ngroup by 1,2,3,4,5,6", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_currency", "model.my_new_project.base_dim_label", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_orchadmin_users", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_orchadmin_users", "model.my_new_project.base_dim_store"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "custom_datasets", "label_performance_spreadsheet", "label_performance_spreadsheet"], "unique_id": "model.my_new_project.label_performance_spreadsheet", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/custom_datasets/label_performance_spreadsheet/label_performance_spreadsheet.sql", "original_file_path": "models/bi_looker_application/custom_datasets/label_performance_spreadsheet/label_performance_spreadsheet.sql", "name": "label_performance_spreadsheet", "alias": "label_performance_spreadsheet", "checksum": {"name": "sha256", "checksum": "357d75f633b2ef108007cd19cd1ad6163bda1ae852e7370f26b4c008a5374a0f"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_currency"], ["base_dim_label"], ["base_art_relations_vendor"], ["base_ar_orchadmin_users"], ["base_ar_vendor_contract"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_orchadmin_users"], ["base_dim_store"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.4874063}, "model.my_new_project.dt_ca_physical_product_view_with_release_grid": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect *\n from {{ ref('base_si_ca_physical_product_view') }} ca\n inner join {{ ref('base_ar_release_grid') }} rg\n on ca.gras_prod_no = rg.product_no", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_si_ca_physical_product_view", "model.my_new_project.base_ar_release_grid"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_ca_physical_product_view_with_release_grid"], "unique_id": "model.my_new_project.dt_ca_physical_product_view_with_release_grid", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_ca_physical_product_view_with_release_grid.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_ca_physical_product_view_with_release_grid.sql", "name": "dt_ca_physical_product_view_with_release_grid", "alias": "dt_ca_physical_product_view_with_release_grid", "checksum": {"name": "sha256", "checksum": "f2766913748f20666155bed06b8d93b252b1eda647eb7331c7b9fa3a9a066600"}, "tags": [], "refs": [["base_si_ca_physical_product_view"], ["base_ar_release_grid"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.4999824}, "model.my_new_project.dt_deliverable_to_proper": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT distinct dh.upc as upc\n FROM {{ ref('base_ar_delivery_history') }} dh\n where dh.customer_master_master_id = 696", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_delivery_history"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_deliverable_to_proper"], "unique_id": "model.my_new_project.dt_deliverable_to_proper", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_deliverable_to_proper.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_deliverable_to_proper.sql", "name": "dt_deliverable_to_proper", "alias": "dt_deliverable_to_proper", "checksum": {"name": "sha256", "checksum": "3aec8bde9ea9d890c87347215a3e7b8528ac8e0991d9274093acca5508fc3ab1"}, "tags": [], "refs": [["base_ar_delivery_history"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.5092375}, "model.my_new_project.dt_direct_delivery_max_last_updated": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nSELECT\n eqd.dms_master_master_id,\n MAX(eqd.delivery_ended) AS last_delivery,\n MIN(eqd.delivery_ended) AS first_delivery\nFROM {{ ref('base_ar_dd_encoding_queue_detail') }} eqd\nINNER JOIN {{ ref('base_ar_releases') }} r ON r.upc=eqd.upc\nINNER JOIN {{ ref('base_ar_distribution_format') }} df ON r.distribution_format_id=df.distribution_format_id\nWHERE df.context_type='digital'\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_dd_encoding_queue_detail", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_distribution_format"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_direct_delivery_max_last_updated"], "unique_id": "model.my_new_project.dt_direct_delivery_max_last_updated", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_direct_delivery_max_last_updated.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_direct_delivery_max_last_updated.sql", "name": "dt_direct_delivery_max_last_updated", "alias": "dt_direct_delivery_max_last_updated", "checksum": {"name": "sha256", "checksum": "8d636d3f791e8205cd2b7d0daa2f3bfff11ca63755b0446c19f3ab0c7e5249c2"}, "tags": [], "refs": [["base_ar_dd_encoding_queue_detail"], ["base_ar_releases"], ["base_ar_distribution_format"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.518326}, "model.my_new_project.dt_genre_mappings": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSelect s.storename,\nog.genre,\nos.name,\nmg.dms_master_genre,\nmsg.dms_master_subgenre\nfrom {{ ref('base_ar_genre') }} og\njoin {{ ref('base_ar_subgenre') }} os on og.genre_id = os.genre_id\njoin {{ ref('base_ar_dms_subgenre_mapping') }} sgm on os.orchard_id = sgm.orchard_subgenre_id\njoin {{ ref('base_ar_dms_master_subgenre') }} msg on msg.dms_master_subgenre_id = sgm.dms_master_subgenre_id\njoin {{ ref('base_ar_dms_master_genre') }} mg on mg.dms_master_genre_id = msg.dms_master_genre_id\njoin {{ ref('base_dim_store') }} s on mg.customer_master_master_id = s.storeid", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_genre", "model.my_new_project.base_ar_subgenre", "model.my_new_project.base_ar_dms_subgenre_mapping", "model.my_new_project.base_ar_dms_master_subgenre", "model.my_new_project.base_ar_dms_master_genre", "model.my_new_project.base_dim_store"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_genre_mappings"], "unique_id": "model.my_new_project.dt_genre_mappings", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_genre_mappings.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_genre_mappings.sql", "name": "dt_genre_mappings", "alias": "dt_genre_mappings", "checksum": {"name": "sha256", "checksum": "8d50eeb57e8f018be491169a3611be180fdc498e8a34634c2a4730798d0c3bc5"}, "tags": [], "refs": [["base_ar_genre"], ["base_ar_subgenre"], ["base_ar_dms_subgenre_mapping"], ["base_ar_dms_master_subgenre"], ["base_ar_dms_master_genre"], ["base_dim_store"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.5267832}, "model.my_new_project.dt_artist_genre": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nSELECT base.artist_id, g.genre AS artist_genre\n FROM (\n SELECT\n artist_id,\n genre_id,\n ROW_NUMBER() OVER (PARTITION BY artist_id ORDER BY releases,max_date DESC) AS rank\n FROM (\n SELECT\n artist_id,\n genre_id,\n COUNT(DISTINCT release_id) AS releases,\n MAX(sale_start_date) AS max_date\n FROM {{ ref('base_ar_releases') }}\n WHERE release_status = 'in_content' AND not_for_distribution = 'N'\n GROUP BY 1,2\n )\n ) base\n INNER JOIN {{ ref('base_ar_genre') }} g ON base.genre_id = g.genre_id\n WHERE rank = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_genre"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_artist_genre"], "unique_id": "model.my_new_project.dt_artist_genre", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_artist_genre.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_artist_genre.sql", "name": "dt_artist_genre", "alias": "dt_artist_genre", "checksum": {"name": "sha256", "checksum": "04fb6749ff1cb09a66071cf70bf66f5bf1e344a9dd265bf81907946a7f85e2ae"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_genre"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.5363312}, "model.my_new_project.dt_fact_sales_marketshare": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n DATE_FROM_PARTS(fs.activityyear, fs.activitymonth, 1) AS activity_month,\n fs.country_code,\n fs.storeid,\n fs.labelid,\n fs.is_adsup,\n fs.net_receipt,\n fs.gross,\n fs.units,\n ms.orchard_streams,\n ms.store_streams,\n ms.users,\n ms.orchard_gross_revenue_usd,\n ms.store_revenue_usd\n FROM (\n SELECT\n fs.activityyear,\n fs.activitymonth,\n dc.country_code,\n fs.storeid,\n fs.labelid,\n CASE\n WHEN fs.transactiontypeid IN (9,10,27,39) THEN TRUE\n WHEN fs.transactiontypeid IN (1,14,16,17,20,29,48) THEN FALSE\n END AS is_adsup,\n SUM(fs.net_receipt) AS net_receipt,\n SUM(fs.gross) AS gross,\n SUM(fs.sales) AS units\n FROM {{ ref('base_fact_sales') }} fs\n LEFT JOIN {{ ref('base_dim_country') }} dc ON fs.countryid = dc.countryid\n WHERE storeid IN (1,187,286,348,496,569,716)\n AND transactiontypeid IN (9,10,27,39,1,14,16,17,20,29,48)\n GROUP BY 1,2,3,4,5,6\n ) fs\n INNER JOIN (\n SELECT\n YEAR(activity_month544) AS activityyear,\n MONTH(activity_month544) AS activitymonth,\n country_code,\n CASE store\n WHEN 'Amazon Prime' THEN 187\n WHEN 'Amazon Unlimited' THEN 716\n WHEN 'Apple Music' THEN 1\n WHEN 'Deezer' THEN 348\n WHEN 'Google Play' THEN 496\n WHEN 'Spotify' THEN 286\n WHEN 'Youtube Red' THEN 569\n END AS storeid,\n is_adsup,\n SUM(orchard_streams) AS orchard_streams,\n SUM(store_streams) AS store_streams,\n SUM(users) AS users,\n SUM(orchard_gross_revenue_usd) AS orchard_gross_revenue_usd,\n SUM(store_revenue_usd) AS store_revenue_usd\n FROM {{ ref('base_fact_market_share') }}\n GROUP BY 1,2,3,4,5\n ) ms ON fs.activityyear = ms.activityyear\n AND fs.activitymonth = ms.activitymonth\n AND fs.country_code = ms.country_code\n AND fs.storeid = ms.storeid\n AND fs.is_adsup = ms.is_adsup", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.base_dim_country", "model.my_new_project.base_fact_market_share"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_fact_sales_marketshare"], "unique_id": "model.my_new_project.dt_fact_sales_marketshare", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_fact_sales_marketshare.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_fact_sales_marketshare.sql", "name": "dt_fact_sales_marketshare", "alias": "dt_fact_sales_marketshare", "checksum": {"name": "sha256", "checksum": "7499b18696ecf420aaafc5b2f266b1022d379938bcbe53c1bbc6169e099fe467"}, "tags": [], "refs": [["base_fact_sales"], ["base_dim_country"], ["base_fact_market_share"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.544369}, "model.my_new_project.dt_directshot_physical_price_code": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect product_id as release_id,\n 'Direct Shot Music Distribution' as store_name,\n store_pricing_tier_name,\n price_code\n from {{ ref('base_ar_rp_product_store_effective_price_code') }}\n where store_id = 738", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_rp_product_store_effective_price_code"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_directshot_physical_price_code"], "unique_id": "model.my_new_project.dt_directshot_physical_price_code", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_directshot_physical_price_code.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_directshot_physical_price_code.sql", "name": "dt_directshot_physical_price_code", "alias": "dt_directshot_physical_price_code", "checksum": {"name": "sha256", "checksum": "a3c5e84c5a26502704c9ac259560f3c39c5ba57d594cc04d70b865b96df29e39"}, "tags": [], "refs": [["base_ar_rp_product_store_effective_price_code"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.553416}, "model.my_new_project.dt_content_validation_album_credit": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nWITH track_artists_by_release AS (\n SELECT\n tr.release_id,\n ta.name AS track_artist,\n COUNT(1) AS occurences\n FROM {{ ref('base_ar_track_artist') }} ta\n INNER JOIN {{ ref('base_ar_track') }} tr ON ta.track_id = tr.id\n WHERE ta.type = 'featuring'\n GROUP BY 1,2\n),\ntracks_by_release AS (\n SELECT release_id, COUNT(id) AS occurences\n FROM {{ ref('base_ar_track') }}\n GROUP BY 1\n)\nSELECT DISTINCT tbr.release_id, tabr.track_artist AS missing_release_artist\nFROM tracks_by_release tbr\n INNER JOIN track_artists_by_release tabr ON tbr.release_id = tabr.release_id\n LEFT JOIN orchard_app_reporting_v2.art_relations_prod_art_relations.release_artist ra ON tabr.release_id = ra.release_id AND tabr.track_artist = ra.artist_name\nWHERE tbr.occurences = tabr.occurences AND ra.artist_name IS NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_track_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_looker_application", "derived_table_migration", "dt_content_validation_album_credit"], "unique_id": "model.my_new_project.dt_content_validation_album_credit", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_looker_application/derived_table_migration/dt_content_validation_album_credit.sql", "original_file_path": "models/bi_looker_application/derived_table_migration/dt_content_validation_album_credit.sql", "name": "dt_content_validation_album_credit", "alias": "dt_content_validation_album_credit", "checksum": {"name": "sha256", "checksum": "722ecff5ab6dac07ca13167dc4721939bfac20ef4e9d870d2942a064fdd13acd"}, "tags": [], "refs": [["base_ar_track_artist"], ["base_ar_track"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.5612054}, "model.my_new_project.som_livre_streams_by_country": {"raw_sql": "SELECT\n c.country_code AS country,\n COALESCE(SUM(fa.units ), 0) AS streams\nFROM {{ source('prod','fact_analytics') }} fa\nLEFT JOIN {{ ref('base_ar_releases') }} r ON fa.releaseid = r.upc\nLEFT JOIN {{ ref('base_ar_country') }} c ON fa.countryid = c.id\nLEFT JOIN {{ ref('base_dim_licensor') }} l ON fa.licensorid = l.licensorid\n\nWHERE \n\n fa.download_activity_date >= DATEADD('day', -8, CURRENT_DATE()) AND fa.download_activity_date < DATEADD('day', 7, DATEADD('day', -8, CURRENT_DATE()))\n AND fa.labelid = 21786 -- Som Livre's Label ID\n AND fa.storeid = 286 -- Spotify \n AND LENGTH(c.country_code ) <> 0\n AND fa.feedid NOT IN (8)\n AND l.distributor != 'sme'\n AND r.not_for_distribution != 'SMEAnalyticsDummy'\n AND fa.transactiontypeid NOT IN (33,34,35)\n AND c.country_code IS NOT NULL\nGROUP BY 1\nORDER BY 2 DESC", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.fact_analytics", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_country", "model.my_new_project.base_dim_licensor"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_market_share", "spotify_weekly_streamshare", "som_livre_streams_by_country"], "unique_id": "model.my_new_project.som_livre_streams_by_country", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_market_share/spotify_weekly_streamshare/som_livre_streams_by_country.sql", "original_file_path": "models/bi_market_share/spotify_weekly_streamshare/som_livre_streams_by_country.sql", "name": "som_livre_streams_by_country", "alias": "som_livre_streams_by_country", "checksum": {"name": "sha256", "checksum": "da7850b686c206a8cb9a587c08e2a0ae4cf1e71e03e244b218170e02e38ba06f"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_country"], ["base_dim_licensor"]], "sources": [["prod", "fact_analytics"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.571741}, "model.my_new_project.market_share_by_country": {"raw_sql": "select \ncountry,\nsum(rightsholders_streams) as orchard_streams, \nsum(total_streams) as store_streams,\nround(orchard_streams / store_streams, 4) as streamshare\nfrom {{ ref('base_staging_raw_spotify_market_share_week_ending') }}\nwhere country not in ('ET', 'MM')\n-- and report_date = max(report_date) logic not full\ngroup by 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_staging_raw_spotify_market_share_week_ending"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_market_share", "spotify_weekly_streamshare", "market_share_by_country"], "unique_id": "model.my_new_project.market_share_by_country", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_market_share/spotify_weekly_streamshare/market_share_by_country.sql", "original_file_path": "models/bi_market_share/spotify_weekly_streamshare/market_share_by_country.sql", "name": "market_share_by_country", "alias": "market_share_by_country", "checksum": {"name": "sha256", "checksum": "866cb34d3bf0bf547db9d96284862539e000b912ed2f15221e5618952ecec9d7"}, "tags": [], "refs": [["base_staging_raw_spotify_market_share_week_ending"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.57536}, "model.my_new_project.som_livre_streamshare_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'table',\n 'unique_key' : 'concat(week_ending,country)',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (week_ending);'\n ]\n })\n}}\n\nselect \nto_date(dateadd(day,-2,current_date())) as week_ending,\ns.country as country_code,\na.streams as som_livre_streams,\ns.store_streams as store_streams,\nround(som_livre_streams / store_streams, 4) as streamshare\nfrom {{ ref('market_share_by_country') }} s\ninner join {{ ref('som_livre_streams_by_country') }} a on s.country = a.country", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.market_share_by_country", "model.my_new_project.som_livre_streams_by_country"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(week_ending,country)", "on_schema_change": "ignore", "grants": {}, "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (week_ending);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_market_share", "spotify_weekly_streamshare", "som_livre_streamshare_model"], "unique_id": "model.my_new_project.som_livre_streamshare_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_market_share/spotify_weekly_streamshare/som_livre_streamshare_model.sql", "original_file_path": "models/bi_market_share/spotify_weekly_streamshare/som_livre_streamshare_model.sql", "name": "som_livre_streamshare_model", "alias": "som_livre_streamshare_model", "checksum": {"name": "sha256", "checksum": "8d33ef0449384974206a05b4f94fc6ca09a3b747910748e0cba350eff758f950"}, "tags": [], "refs": [["market_share_by_country"], ["som_livre_streams_by_country"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table", "unique_key": "concat(week_ending,country)", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (week_ending);"]}, "created_at": 1660067939.5786474}, "model.my_new_project.stg_twitter_followers": {"raw_sql": "WITH today AS (\n SELECT\n t.account_id,\n t.timestp,\n t.followers - LAG(t.followers, 1, NULL) OVER (PARTITION BY t.account_id ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_twitter_stat') }} t\n WHERE timestp BETWEEN DATEADD(day,-10,TO_DATE( CURRENT_DATE -1)) AND TO_DATE( CURRENT_DATE -1)),\n\nprevious AS (\n SELECT\n t.account_id,\n t.timestp,\n t.followers - LAG(t.followers, 1, NULL) OVER (PARTITION BY t.account_id ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_twitter_stat') }} t\n WHERE t.timestp >= DATEADD(day,-90,TO_DATE( CURRENT_DATE -1))\n ),\n\nstats AS (\n SELECT\n account_id,\n AVG(new_followers) AS avrg,\n STDDEV(new_followers) AS std\n FROM previous\n GROUP BY 1\n)\n\nSELECT\n t.timestp AS date,\n 'Twitter' AS social,\n to_char(t.account_id) as account_id,\n a.name,\n a.id AS cm_artist_id,\n t.new_followers AS new_followers_today,\n s.avrg AS avg_new_followers,\n s.std AS stdev_new_followers,\n (t.new_followers-s.avrg) / (NULLIF(s.std,0)) AS spike_score\nFROM today t\nINNER JOIN stats s ON s.account_id=t.account_id\nINNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id = t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\nAND t.timestp=TO_DATE( CURRENT_DATE -1)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_twitter_stat", "model.my_new_project.base_cm_twitter_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications_social", "stg_twitter_followers"], "unique_id": "model.my_new_project.stg_twitter_followers", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications_social/stg_twitter_followers.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications_social/stg_twitter_followers.sql", "name": "stg_twitter_followers", "alias": "stg_twitter_followers", "checksum": {"name": "sha256", "checksum": "3da0ac198ffb6d9c231aa01d372ebc71fd4db3705f249c05ec4689b951ebccb3"}, "tags": [], "refs": [["base_cm_twitter_stat"], ["base_cm_twitter_stat"], ["base_cm_cm_url"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.5903509}, "model.my_new_project.stg_instagram_followers": {"raw_sql": "WITH today AS (\n SELECT\n t.account_id,\n t.timestp,\n t.followers - LAG(t.followers, 1, NULL) OVER (PARTITION BY t.account_id ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_instagram_stat') }} t\n WHERE timestp BETWEEN DATEADD(day,-10,TO_DATE( CURRENT_DATE -1)) AND TO_DATE( CURRENT_DATE -1)),\n\nprevious AS (\n SELECT\n t.account_id,\n t.timestp,\n t.followers - LAG(t.followers, 1, NULL) OVER (PARTITION BY t.account_id ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_instagram_stat') }} t\n WHERE t.timestp >= DATEADD(day,-90,TO_DATE( CURRENT_DATE -1))\n ),\n\nstats AS (\n SELECT\n account_id,\n AVG(new_followers) AS avrg,\n STDDEV(new_followers) AS std\n FROM previous\n GROUP BY 1\n)\n\nSELECT\n t.timestp AS date,\n 'Instagram' AS social,\n to_char(t.account_id)as account_id,\n a.name,\n a.id AS cm_artist_id,\n t.new_followers AS new_followers_today,\n s.avrg AS avg_new_followers,\n s.std AS stdev_new_followers,\n (t.new_followers-s.avrg) / (NULLIF(s.std,0)) AS spike_score\nFROM today t\nINNER JOIN stats s ON s.account_id=t.account_id\nINNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id = t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\nAND t.timestp=TO_DATE( CURRENT_DATE -1)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications_social", "stg_instagram_followers"], "unique_id": "model.my_new_project.stg_instagram_followers", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications_social/stg_instagram_followers.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications_social/stg_instagram_followers.sql", "name": "stg_instagram_followers", "alias": "stg_instagram_followers", "checksum": {"name": "sha256", "checksum": "ed21c167e017383739c8a6392734ad12dc70913e28cbf4e535666dcdae151586"}, "tags": [], "refs": [["base_cm_instagram_stat"], ["base_cm_instagram_stat"], ["base_cm_cm_url"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.5940726}, "model.my_new_project.stg_youtube_followers": {"raw_sql": "WITH today AS (\n SELECT\n t.account_id,\n t.timestp,\n t.subscribers - LAG(t.subscribers, 1, NULL) OVER (PARTITION BY t.account_id ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_youtube_channel_stat') }} t\n WHERE timestp BETWEEN DATEADD(day,-10,TO_DATE( CURRENT_DATE -1)) AND TO_DATE( CURRENT_DATE -1)),\n\nprevious AS (\n SELECT\n t.account_id,\n t.timestp,\n t.subscribers - LAG(t.subscribers, 1, NULL) OVER (PARTITION BY t.account_id ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_youtube_channel_stat') }} t\n WHERE t.timestp >= DATEADD(day,-90,TO_DATE(CURRENT_DATE -1))\n ),\n\nstats AS (\n SELECT\n account_id,\n AVG(new_followers) AS avrg,\n STDDEV(new_followers) AS std\n FROM previous\n GROUP BY 1\n)\n\nSELECT\n t.timestp AS date,\n 'YouTube' AS social,\n to_char(t.account_id) as account_id,\n a.name,\n a.id AS cm_artist_id,\n t.new_followers AS new_followers_today,\n s.avrg AS avg_new_followers,\n s.std AS stdev_new_followers,\n (t.new_followers-s.avrg) / (NULLIF(s.std,0)) AS spike_score\nFROM today t\nINNER JOIN stats s ON s.account_id=t.account_id\nINNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id = t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\nAND t.timestp=TO_DATE( CURRENT_DATE -1)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_youtube_channel_stat", "model.my_new_project.base_cm_youtube_channel_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications_social", "stg_youtube_followers"], "unique_id": "model.my_new_project.stg_youtube_followers", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications_social/stg_youtube_followers.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications_social/stg_youtube_followers.sql", "name": "stg_youtube_followers", "alias": "stg_youtube_followers", "checksum": {"name": "sha256", "checksum": "e19926fa075f8e9f42dd3e25fece3c607dc18d10f1067c1d4fc06c474a92ec30"}, "tags": [], "refs": [["base_cm_youtube_channel_stat"], ["base_cm_youtube_channel_stat"], ["base_cm_cm_url"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.5978165}, "model.my_new_project.stg_spotify_followers": {"raw_sql": "WITH today AS (\n SELECT\n t.spotify_artist AS account_id,\n t.timestp,\n t.followers - LAG(t.followers, 1, NULL) OVER (PARTITION BY t.spotify_artist ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_spotify_artist_stat') }} t\n WHERE timestp BETWEEN DATEADD(day,-10,TO_DATE( CURRENT_DATE -1 )) AND TO_DATE( CURRENT_DATE -1 )),\n\nprevious AS (\n SELECT\n t.spotify_artist AS account_id,\n t.timestp,\n t.followers - LAG(t.followers, 1, NULL) OVER (PARTITION BY t.spotify_artist ORDER BY t.timestp) AS new_followers\n FROM {{ ref('base_cm_spotify_artist_stat') }} t\n WHERE t.timestp >= DATEADD(day,-90,TO_DATE( CURRENT_DATE -1 ))\n ),\n\nstats AS (\n SELECT\n account_id,\n AVG(new_followers) AS avrg,\n STDDEV(new_followers) AS std\n FROM previous\n GROUP BY 1\n)\n\nSELECT\n t.timestp AS date,\n 'Spotify' AS social,\n to_char(t.account_id) as account_id,\n a.name,\n a.id AS cm_artist_id,\n t.new_followers AS new_followers_today,\n s.avrg AS avg_new_followers,\n s.std AS stdev_new_followers,\n (t.new_followers-s.avrg) / (NULLIF(s.std,0)) AS spike_score\nFROM today t\nINNER JOIN stats s ON s.account_id=t.account_id\nINNER JOIN {{ ref('base_cm_spotify_artist') }} sa ON sa.id=t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=sa.cm_artist\nAND t.timestp=TO_DATE( CURRENT_DATE -1 )", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_artist_stat", "model.my_new_project.base_cm_spotify_artist_stat", "model.my_new_project.base_cm_spotify_artist", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications_social", "stg_spotify_followers"], "unique_id": "model.my_new_project.stg_spotify_followers", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications_social/stg_spotify_followers.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications_social/stg_spotify_followers.sql", "name": "stg_spotify_followers", "alias": "stg_spotify_followers", "checksum": {"name": "sha256", "checksum": "e1b2e0449d74d3e83f036b699ba6d62526a3c453cc013f1ba4ba1ed6c3742c9f"}, "tags": [], "refs": [["base_cm_spotify_artist_stat"], ["base_cm_spotify_artist_stat"], ["base_cm_spotify_artist"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.601714}, "model.my_new_project.social_spike_stats": {"raw_sql": "{{\nconfig({\n 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"DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications_social", "social_spike_stats"], "unique_id": "model.my_new_project.social_spike_stats", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications_social/social_spike_stats.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications_social/social_spike_stats.sql", "name": "social_spike_stats", "alias": "social_spike_stats", "checksum": {"name": "sha256", "checksum": "ac504050b6528e0b76f55edb7a7eeeb1d311fc533c2406d92e1eb318f646465c"}, "tags": [], "refs": [["stg_twitter_followers"], ["stg_instagram_followers"], ["stg_youtube_followers"], ["stg_spotify_followers"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "date", "incremental_strategy": "delete+insert"}, "created_at": 1660067939.6052725}, "model.my_new_project.store_genre_subgenre_mappings": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH dms_genre AS (\n SELECT\n dmg.customer_master_master_id,\n g.genre AS Orchard_Genre,\n dmg.dms_master_genre AS DMS_Genre,\n sg.orchard_id,\n dgm.dms_master_genre_id\n FROM {{ ref('base_ar_dms_genre_mapping') }} dgm\n INNER JOIN {{ ref('base_ar_dms_master_genre') }} dmg ON dgm.dms_master_genre_id = dmg.dms_master_genre_id\n LEFT JOIN {{ ref('base_ar_subgenre') }} sg ON sg.orchard_id = dgm.orchard_subgenre_id\n INNER JOIN {{ ref('base_ar_genre') }} g ON sg.genre_id = g.genre_id\n),\n\ndms_subgenre AS (\n SELECT\n dmg.customer_master_master_id,\n sg.orchard_id,\n dmsg.dms_master_subgenre AS DMS_Subgenre\n FROM {{ ref('base_ar_dms_master_genre') }} dmg\n INNER JOIN {{ ref('base_ar_dms_master_subgenre') }} dmsg ON dmg.dms_master_genre_id = dmsg.dms_master_genre_id\n INNER JOIN {{ ref('base_ar_dms_subgenre_mapping') }} dsgm ON dmsg.dms_master_subgenre_id = dsgm.dms_master_subgenre_id\n LEFT JOIN {{ ref('base_ar_subgenre') }} sg ON sg.orchard_id = dsgm.orchard_subgenre_id\n)\n\nSELECT\n g.genre AS orchard_genre,\n sg.name AS orchard_subgenre,\n dg.customer_master_master_id AS store_id,\n dg.DMS_Genre AS dms_genre,\n dsg.DMS_Subgenre AS dms_subgenre\nFROM {{ ref('base_ar_genre') }} g\nINNER JOIN {{ ref('base_ar_subgenre') }} sg ON sg.genre_id=g.genre_id\nLEFT JOIN dms_genre dg ON dg.orchard_id=sg.orchard_id\nLEFT JOIN dms_subgenre dsg ON dsg.orchard_id=sg.orchard_id AND dg.customer_master_master_id = dsg.customer_master_master_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_dms_genre_mapping", "model.my_new_project.base_ar_dms_master_genre", "model.my_new_project.base_ar_subgenre", "model.my_new_project.base_ar_genre", "model.my_new_project.base_ar_dms_master_genre", "model.my_new_project.base_ar_dms_master_subgenre", "model.my_new_project.base_ar_dms_subgenre_mapping", "model.my_new_project.base_ar_subgenre", "model.my_new_project.base_ar_genre", "model.my_new_project.base_ar_subgenre"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "store_genre_subgenre_mappings", "store_genre_subgenre_mappings"], "unique_id": "model.my_new_project.store_genre_subgenre_mappings", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/store_genre_subgenre_mappings/store_genre_subgenre_mappings.sql", "original_file_path": "models/pre_existing_dbt_jobs/store_genre_subgenre_mappings/store_genre_subgenre_mappings.sql", "name": "store_genre_subgenre_mappings", "alias": "store_genre_subgenre_mappings", "checksum": {"name": "sha256", "checksum": "955c096d24f5d572de8dd1230a814a14d49f3047ca98a02d595a0ce0fad1605a"}, "tags": [], "refs": [["base_ar_dms_genre_mapping"], ["base_ar_dms_master_genre"], ["base_ar_subgenre"], ["base_ar_genre"], ["base_ar_dms_master_genre"], ["base_ar_dms_master_subgenre"], ["base_ar_dms_subgenre_mapping"], ["base_ar_subgenre"], ["base_ar_genre"], ["base_ar_subgenre"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.6148775}, "model.my_new_project.internal_conflicts": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH blah AS (SELECT\n l.labelid,\n l.labelname,\n s.subaccountid,\n s.subaccountname,\n t.trackname,\n r.releaseid AS upc,\n r.releasename,\n a.artistname,\n t.isrc,\n t.track_unique_id,\n re.tuid AS registry_tuid,\n re.isrc AS registry_isrc,\n re.territory,\n re.internal_conflict\nFROM {{ ref('base_dim_label') }} l\nINNER JOIN {{ ref('base_dim_release') }} r USING(labelid)\nINNER JOIN {{ ref('base_dim_track') }} t ON t.upc=r.releaseid\nINNER JOIN {{ ref('base_dim_artist') }} a ON a.artistid=r.artistid\nLEFT JOIN {{ ref('base_dim_subaccount') }} s ON s.subaccountid=r.subaccountid\nINNER JOIN {{ ref('base_fact_registry') }} re ON re.tuid=t.track_unique_id\nWHERE re.internal_conflict=1),\n\nblah2 AS (SELECT\n a.labelid,\n a.labelname,\n a.subaccountid,\n a.subaccountname,\n a.upc,\n a.releasename,\n a.trackname,\n a.artistname,\n a.isrc,\n a.track_unique_id AS tuid,\n a.registry_tuid,\n a.territory,\n a.internal_conflict,\n b.labelid AS matched_labelid,\n b.labelname AS matched_labelname,\n b.subaccountid AS matched_subaccountid,\n b.subaccountname AS matched_subaccountname,\n b.trackname AS matched_trackname,\n b.upc AS matched_upc,\n b.releasename AS matched_release_name,\n b.artistname AS matched_artistname,\n b.isrc AS matched_isrc,\n b.track_unique_id AS matched_tuid,\n b.territory AS matched_territory\nFROM blah a\nINNER JOIN blah b\nON a.isrc=b.isrc AND a.territory=b.territory)\n\nSELECT\n labelid,\n labelname,\n subaccountid,\n subaccountname,\n upc,\n releasename,\n trackname,\n artistname,\n isrc,\n tuid,\n matched_labelid,\n matched_labelname,\n matched_subaccountid,\n matched_subaccountname,\n matched_upc,\n matched_release_name,\n matched_trackname,\n matched_artistname,\n matched_isrc,\n matched_tuid,\n LISTAGG(DISTINCT territory, '; ') AS conflicting_territories\nFROM blah2\nWHERE labelid != matched_labelid\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_dim_label", 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ref('stg_avg_views') }}\n\nUNION ALL\n\nSELECT * FROM {{ ref('stg_followers') }}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_avg_comments", "model.my_new_project.stg_avg_likes", "model.my_new_project.stg_avg_views", "model.my_new_project.stg_followers"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "date", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications", "instagram", "instagram_spike_stats"], "unique_id": "model.my_new_project.instagram_spike_stats", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications/instagram/instagram_spike_stats.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications/instagram/instagram_spike_stats.sql", "name": "instagram_spike_stats", "alias": "instagram_spike_stats", "checksum": {"name": "sha256", "checksum": "8d3fe0fb551a10da4c602d99e5a8a54f45c9fd332cd089915731e8406b205444"}, "tags": [], "refs": [["stg_avg_comments"], ["stg_avg_likes"], ["stg_avg_views"], ["stg_followers"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "date", "incremental_strategy": "delete+insert"}, "created_at": 1660067939.6364064}, "model.my_new_project.stg_avg_comments": {"raw_sql": "WITH today AS (\n SELECT\n i.timestp,\n a.id,\n i.account_id,\n a.name,\n i.avg_comments\n FROM {{ ref('base_cm_instagram_stat') }} i\n INNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id=i.account_id\n INNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\n WHERE u.target='cm_artist'\n AND i.timestp = TO_DATE(CURRENT_DATE -1)),\n\nprevious AS (\n SELECT\n i.timestp,\n a.id,\n i.account_id,\n a.name,\n i.avg_comments\n FROM {{ ref('base_cm_instagram_stat') }} i\n INNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id=i.account_id\n INNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\n WHERE u.target='cm_artist'\n AND i.timestp >= DATEADD(day,-90,TO_DATE(CURRENT_DATE -1))\n),\n\nstats AS (\n SELECT\n id,\n account_id,\n name,\n AVG(avg_comments) AS avrg,\n STDDEV(avg_comments) AS std\n FROM previous\n GROUP BY 1,2,3\n)\n\nSELECT\n CURRENT_DATE -1 AS date,\n 'avg_comments' AS metric,\n t.id,\n t.account_id,\n t.name,\n --aa.artistid,\n t.avg_comments AS today_metric,\n s.avrg AS avg_past_metric,\n s.std AS stdev_metric,\n (t.avg_comments - s.avrg) / (nullif(s.std,0)) AS spike_score_metric\nFROM today t\nINNER JOIN stats s ON s.id=t.id AND s.account_id=t.account_id\nINNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id = t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": 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["base_cm_cm_artist"], ["base_cm_instagram_stat"], ["base_cm_cm_url"], ["base_cm_cm_artist"], ["base_cm_cm_url"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.6500525}, "model.my_new_project.stg_followers": {"raw_sql": "WITH today AS (\n SELECT\n i.timestp,\n a.id,\n i.account_id,\n a.name,\n i.followers\n FROM {{ ref('base_cm_instagram_stat') }} i\n INNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id=i.account_id\n INNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\n WHERE u.target='cm_artist'\n AND i.timestp = TO_DATE(CURRENT_DATE -1)),\n\nprevious AS (\n SELECT\n i.timestp,\n a.id,\n i.account_id,\n a.name,\n i.followers\n FROM {{ ref('base_cm_instagram_stat') }} i\n INNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id=i.account_id\n INNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id\n WHERE u.target='cm_artist'\n AND i.timestp >= DATEADD(day,-90,TO_DATE(CURRENT_DATE -1))\n),\n\nstats AS (\n SELECT\n id,\n account_id,\n name,\n AVG(followers) AS avrg,\n STDDEV(followers) AS std\n FROM previous\n GROUP BY 1,2,3\n)\n\nSELECT\n CURRENT_DATE -1 AS date,\n 'followers' AS metric,\n t.id,\n t.account_id,\n t.name,\n --aa.artistid,\n t.followers AS today_metric,\n s.avrg AS avg_past_metric,\n s.std AS stdev_metric,\n (t.followers - s.avrg) / (nullif(s.std,0)) AS spike_score_metric\nFROM today t\nINNER JOIN stats s ON s.id=t.id AND s.account_id=t.account_id\nINNER JOIN {{ ref('base_cm_cm_url') }} u ON u.account_id = t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist", 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t.account_id\nINNER JOIN {{ ref('base_cm_cm_artist') }} a ON a.id=u.target_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.base_cm_instagram_stat", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_cm_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "push_notifications", "instagram", "stg_avg_views"], "unique_id": "model.my_new_project.stg_avg_views", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/push_notifications/instagram/stg_avg_views.sql", "original_file_path": "models/pre_existing_dbt_jobs/push_notifications/instagram/stg_avg_views.sql", "name": "stg_avg_views", "alias": "stg_avg_views", "checksum": {"name": "sha256", "checksum": "566e059ea3a2b6b35dd70a0d9f40b3222e36d04947dfeddf3141236ecaf0b900"}, "tags": [], "refs": [["base_cm_instagram_stat"], ["base_cm_cm_url"], ["base_cm_cm_artist"], ["base_cm_instagram_stat"], ["base_cm_cm_url"], ["base_cm_cm_artist"], ["base_cm_cm_url"], ["base_cm_cm_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.6583514}, "model.my_new_project.bits_per_sample": {"raw_sql": "{{\nconfig({\n 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[]}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "bits_per_sample", "bits_per_sample"], "unique_id": "model.my_new_project.bits_per_sample", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/bits_per_sample/bits_per_sample.sql", "original_file_path": "models/pre_existing_dbt_jobs/bits_per_sample/bits_per_sample.sql", "name": "bits_per_sample", "alias": "bits_per_sample", "checksum": {"name": "sha256", "checksum": "53e9297224bd0b5bf142ee804c1b4aba55d93a290da1cf77c0b4bb5bb209805d"}, "tags": [], "refs": [["base_ar_dd_asset"], ["base_ar_dd_asset_location"], ["base_ar_dd_asset_location_detail"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.6624494}, "model.my_new_project.orchard_pricing_by_release": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n DISTINCT product_id AS release_id,\n name AS orchard_pricing_tier\nFROM {{ ref('base_ar_rp_product_orchard_pricing_tier') }} popt\nINNER JOIN {{ ref('base_ar_rp_orchard_pricing_tier') }} opt ON popt.orchard_pricing_tier_id=opt.orchard_pricing_tier_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_rp_product_orchard_pricing_tier", "model.my_new_project.base_ar_rp_orchard_pricing_tier"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", 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BY 1,2", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_release_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "release_track_artists", "release_artists"], "unique_id": "model.my_new_project.release_artists", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/release_track_artists/release_artists.sql", "original_file_path": "models/pre_existing_dbt_jobs/release_track_artists/release_artists.sql", "name": "release_artists", "alias": "release_artists", "checksum": {"name": "sha256", "checksum": "bff8fb4f6f0701e559904f868d2027a072ec136afecb9eeea7627a9f5b2f4384"}, "tags": [], "refs": [["base_ar_release_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7078252}, "model.my_new_project.restrictions_release_store": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH release_store_restrictions AS (\n SELECT agg_restrictions.release_id, cmm.customer_name, dt.name\n FROM (\n SELECT r.release_id, vdmr.customer_master_master_id, vdmr.distribution_type_id\n FROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id = ai.artist_id\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON ai.vendor_id = vw.vendor_id\n INNER JOIN {{ ref('base_ar_vendor_dms_master_restriction') }} vdmr ON vw.vendor_contract_id = vdmr.vendor_contract_id\n UNION ALL\n SELECT r.release_id, sdmr.customer_master_master_id, NULL AS distribution_type_id\n FROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_subaccount_dms_master_restriction') }} sdmr ON r.subaccount_id = sdmr.subaccount_id\n WHERE r.subaccount_id IS NOT NULL\n UNION ALL\n SELECT release_id, customer_master_master_id, distribution_type_id\n FROM {{ ref('base_ar_release_dms_master_restriction') }}\n ) agg_restrictions\n INNER JOIN {{ ref('base_ar_customer_master_master') }} cmm ON cmm.customer_master_master_id = agg_restrictions.customer_master_master_id\n INNER JOIN {{ ref('base_ar_distribution_type') }} dt ON dt.id = agg_restrictions.distribution_type_id)\n\nSELECT\n release_id,\n name AS distribution_type,\n LISTAGG(DISTINCT customer_name, '; ') WITHIN GROUP (ORDER BY customer_name) AS list_aggregate_restrictions\nFROM release_store_restrictions\nGROUP BY 1,2", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_dms_master_restriction", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_subaccount_dms_master_restriction", "model.my_new_project.base_ar_release_dms_master_restriction", "model.my_new_project.base_ar_customer_master_master", "model.my_new_project.base_ar_distribution_type"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_release_store"], "unique_id": "model.my_new_project.restrictions_release_store", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_release_store.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_release_store.sql", "name": "restrictions_release_store", "alias": "restrictions_release_store", "checksum": {"name": "sha256", "checksum": "e84097b6cd8db5ed6b04317d44847aab7e89208d6fa9fa4501f45cc38df1dfa1"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_artist_info"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_dms_master_restriction"], ["base_ar_releases"], ["base_ar_subaccount_dms_master_restriction"], ["base_ar_release_dms_master_restriction"], ["base_ar_customer_master_master"], ["base_ar_distribution_type"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7151582}, "model.my_new_project.restrictions_label_substore": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH dms_carveouts AS (\n SELECT\n id AS vendor_id,\n TRY_TO_NUMBER(a.value::string) AS dms_id\n FROM {{ ref('base_ar_vendor_contract') }},\n LATERAL FLATTEN(INPUT => SPLIT(dms_carve_out, ',')) a\n),\nactive_carveouts AS (\n SELECT\n d.vendor_id,\n d.dms_id\n FROM dms_carveouts d\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON d.vendor_id = vw.vendor_id\n )\n\nSELECT\n ac.vendor_id,\n LISTAGG(DISTINCT cm.name, '; ') WITHIN GROUP (ORDER BY cm.name) AS list_aggregate_restrictions\nFROM active_carveouts ac\nINNER JOIN {{ ref('base_ar_customer_master') }} cm ON ac.dms_id = cm.customer_id\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_customer_master"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_label_substore"], "unique_id": "model.my_new_project.restrictions_label_substore", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_label_substore.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_label_substore.sql", "name": "restrictions_label_substore", "alias": "restrictions_label_substore", "checksum": {"name": "sha256", "checksum": "c8374b823c408f10fc3a320b3b9adf0cddaeab7afcabe39dd41b36f619bf48fc"}, "tags": [], "refs": [["base_ar_vendor_contract"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_customer_master"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.726845}, "model.my_new_project.restrictions_subaccount_territory": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH substore_territory_restrictions AS (\n SELECT agg_restrictions.subaccount_id, c.name\n FROM (\n SELECT sa.subaccount_id, vtr.country_id\n FROM {{ ref('base_ar_subaccount') }} sa\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON sa.vendor_id = vw.vendor_id\n INNER JOIN (\n SELECT id, TRY_TO_NUMBER(a.value::string) AS country_id\n FROM {{ ref('base_ar_vendor_contract') }},\n LATERAL FLATTEN(INPUT => SPLIT(territory_carve_out, ',')) a) vtr ON vtr.id = vw.vendor_contract_id\n WHERE vtr.country_id IS NOT NULL\n UNION ALL\n SELECT subaccount_id, country_id\n FROM {{ ref('base_ar_subaccount_territory_restriction') }}\n ) agg_restrictions\n INNER JOIN {{ ref('base_ar_country') }} c ON agg_restrictions.country_id = c.id)\nSELECT\n subaccount_id,\n LISTAGG(DISTINCT name, '; ') WITHIN GROUP (ORDER BY name) AS list_aggregate_restrictions\nFROM substore_territory_restrictions\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_subaccount", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_subaccount_territory_restriction", "model.my_new_project.base_ar_country"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_subaccount_territory"], "unique_id": "model.my_new_project.restrictions_subaccount_territory", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_subaccount_territory.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_subaccount_territory.sql", "name": "restrictions_subaccount_territory", "alias": "restrictions_subaccount_territory", "checksum": {"name": "sha256", "checksum": "fdc63749568a91b0e51b1460ba5830be32143c0e26feea4bd1b9c98ae710f21d"}, "tags": [], "refs": [["base_ar_subaccount"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_contract"], ["base_ar_subaccount_territory_restriction"], ["base_ar_country"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7378254}, "model.my_new_project.restrictions_release_territory": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH release_territory_restrictions AS (SELECT agg_restrictions.release_id, c.name\n FROM (\n SELECT r.release_id, vtr.country_id\n FROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id = ai.artist_id\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON ai.vendor_id = vw.vendor_id\n INNER JOIN (\n SELECT id, TRY_TO_NUMBER(a.value::string) AS country_id\n FROM {{ ref('base_ar_vendor_contract') }},\n LATERAL FLATTEN(INPUT => SPLIT(territory_carve_out, ',')) a) vtr ON vtr.id = vw.vendor_contract_id\n WHERE vtr.country_id IS NOT NULL\n UNION ALL\n SELECT r.release_id, str.country_id\n FROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_subaccount_territory_restriction') }} str ON r.subaccount_id = str.subaccount_id\n WHERE r.subaccount_id IS NOT NULL\n UNION ALL\n SELECT release_id, country_id\n FROM {{ ref('base_ar_release_territory_restriction') }}\n ) agg_restrictions\n INNER JOIN {{ ref('base_ar_country') }} c ON agg_restrictions.country_id = c.id)\n\nSELECT\n release_id,\n LISTAGG(DISTINCT name, '; ') WITHIN GROUP (ORDER BY name) AS list_aggregate_restrictions\nFROM release_territory_restrictions\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_subaccount_territory_restriction", "model.my_new_project.base_ar_release_territory_restriction", "model.my_new_project.base_ar_country"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_release_territory"], "unique_id": "model.my_new_project.restrictions_release_territory", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_release_territory.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_release_territory.sql", "name": "restrictions_release_territory", "alias": "restrictions_release_territory", "checksum": {"name": "sha256", "checksum": "fea33ecde99e0f2f6bdcc6abffe1525fcc5fa0a4ed353fd9bad805633d24ce8b"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_artist_info"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_contract"], ["base_ar_releases"], ["base_ar_subaccount_territory_restriction"], ["base_ar_release_territory_restriction"], ["base_ar_country"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7485266}, "model.my_new_project.restrictions_subaccount_store": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH subaccount_store_restrictions AS (\n SELECT agg_restrictions.subaccount_id, cmm.customer_name, dt.name\n FROM (\n SELECT sa.subaccount_id, vdmr.customer_master_master_id, vdmr.distribution_type_id\n FROM {{ ref('base_ar_subaccount') }} sa\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON sa.vendor_id = vw.vendor_id\n INNER JOIN {{ ref('base_ar_vendor_dms_master_restriction') }} vdmr ON vw.vendor_contract_id = vdmr.vendor_contract_id\n UNION ALL\n SELECT subaccount_id, customer_master_master_id, NULL AS distribution_type_id\n FROM {{ ref('base_ar_subaccount_dms_master_restriction') }}\n ) agg_restrictions\n INNER JOIN {{ ref('base_ar_customer_master_master') }} cmm ON cmm.customer_master_master_id = agg_restrictions.customer_master_master_id\n INNER JOIN {{ ref('base_ar_distribution_type') }} dt ON dt.id = agg_restrictions.distribution_type_id)\n\nSELECT\n subaccount_id,\n name AS distribution_type,\n LISTAGG(DISTINCT customer_name, '; ') WITHIN GROUP (ORDER BY customer_name) AS list_aggregate_restrictions\nFROM subaccount_store_restrictions\nGROUP BY 1,2", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_subaccount", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_dms_master_restriction", "model.my_new_project.base_ar_subaccount_dms_master_restriction", "model.my_new_project.base_ar_customer_master_master", "model.my_new_project.base_ar_distribution_type"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_subaccount_store"], "unique_id": "model.my_new_project.restrictions_subaccount_store", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_subaccount_store.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_subaccount_store.sql", "name": "restrictions_subaccount_store", "alias": "restrictions_subaccount_store", "checksum": {"name": "sha256", "checksum": "d973bfa936c7fbe0e73cabd7d4a07d6062d75af9f7f7ba662c3477f178a7295a"}, "tags": [], "refs": [["base_ar_subaccount"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_dms_master_restriction"], ["base_ar_subaccount_dms_master_restriction"], ["base_ar_customer_master_master"], ["base_ar_distribution_type"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7593613}, "model.my_new_project.restrictions_label_territory": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH territory_restrictions AS (\n SELECT id,\n TRY_TO_NUMBER(a.value::string) AS country_id\n FROM {{ ref('base_ar_vendor_contract') }},\n LATERAL FLATTEN(INPUT => SPLIT(territory_carve_out, ',')) a\n WHERE country_id IS NOT NULL)\n\nSELECT\n vw.vendor_id,\n LISTAGG(DISTINCT c.name, '; ') WITHIN GROUP (ORDER BY c.name) AS list_aggregate_restrictions\nFROM territory_restrictions tr\nINNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON tr.id = vw.vendor_contract_id\nINNER JOIN {{ ref('base_ar_country') }} c ON tr.country_id = c.id\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_country"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_label_territory"], "unique_id": "model.my_new_project.restrictions_label_territory", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_label_territory.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_label_territory.sql", "name": "restrictions_label_territory", "alias": "restrictions_label_territory", "checksum": {"name": "sha256", "checksum": "4d8cbe55db0a87ad8f36354fc41f89add58fea89e46328efa303c6605a892aac"}, "tags": [], "refs": [["base_ar_vendor_contract"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_country"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7696073}, "model.my_new_project.restrictions_subaccount_substore": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH subaccount_substore_restrictions AS (\n SELECT agg_restrictions.subaccount_id, cm.name\n FROM (\n SELECT sa.subaccount_id, vdr.dms_id\n FROM {{ ref('base_ar_subaccount') }} sa\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON sa.vendor_id = vw.vendor_id\n INNER JOIN (\n SELECT id, TRY_TO_NUMBER(a.value::string) AS dms_id\n FROM {{ ref('base_ar_vendor_contract') }},\n LATERAL FLATTEN(INPUT => SPLIT(dms_carve_out, ',')) a) vdr ON vdr.id = vw.vendor_contract_id\n WHERE vdr.dms_id IS NOT NULL\n UNION ALL\n SELECT subaccount_id, dms_id\n FROM {{ ref('base_ar_subaccount_dms_restriction') }}\n ) agg_restrictions\n INNER JOIN {{ ref('base_ar_customer_master') }} cm ON agg_restrictions.dms_id = cm.customer_id)\n\nSELECT\n subaccount_id,\n LISTAGG(DISTINCT name, '; ') WITHIN GROUP (ORDER BY name) AS list_aggregate_restrictions\nFROM subaccount_substore_restrictions\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_subaccount", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_subaccount_dms_restriction", "model.my_new_project.base_ar_customer_master"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_subaccount_substore"], "unique_id": "model.my_new_project.restrictions_subaccount_substore", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_subaccount_substore.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_subaccount_substore.sql", "name": "restrictions_subaccount_substore", "alias": "restrictions_subaccount_substore", "checksum": {"name": "sha256", "checksum": "4524f7521306a3571d2b92c456a7baf1c3118748cef940179efb15d29d8de3cf"}, "tags": [], "refs": [["base_ar_subaccount"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_contract"], ["base_ar_subaccount_dms_restriction"], ["base_ar_customer_master"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.7870119}, "model.my_new_project.restrictions_label_store": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH label_store_restrictions AS (SELECT\n vw.vendor_id,\n cmm.customer_name,\n dt.name\nFROM {{ ref('base_intelligence_vw_active_vendor_contract') }} vw\nINNER JOIN {{ ref('base_ar_vendor_dms_master_restriction') }} vdmr ON vw.vendor_contract_id = vdmr.vendor_contract_id\nINNER JOIN {{ ref('base_ar_customer_master_master') }} cmm ON cmm.customer_master_master_id = vdmr.customer_master_master_id\nINNER JOIN {{ ref('base_ar_distribution_type') }} dt ON dt.id = vdmr.distribution_type_id\nORDER BY 1,2,3)\n\nSELECT\n vendor_id,\n name AS distribution_type,\n LISTAGG(DISTINCT lsr.customer_name, '; ') WITHIN GROUP (ORDER BY lsr.customer_name) AS list_aggregate_restrictions\nFROM label_store_restrictions lsr\nGROUP BY 1,2\nORDER BY 1,2", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_dms_master_restriction", "model.my_new_project.base_ar_customer_master_master", "model.my_new_project.base_ar_distribution_type"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_label_store"], "unique_id": "model.my_new_project.restrictions_label_store", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_label_store.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_label_store.sql", "name": "restrictions_label_store", "alias": "restrictions_label_store", "checksum": {"name": "sha256", "checksum": "ba602788c0cf4c55dd82566dc85e2d2c0078bcde7519b9ebba1dc5b2fe9581ff"}, "tags": [], "refs": [["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_dms_master_restriction"], ["base_ar_customer_master_master"], ["base_ar_distribution_type"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.806418}, "model.my_new_project.restrictions_release_substore": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH release_substore_restrictions AS (\n SELECT agg_restrictions.release_id, cm.name\n FROM (\n SELECT r.release_id, vdr.dms_id\n FROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id = ai.artist_id\n INNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON ai.vendor_id = vw.vendor_id\n INNER JOIN (\n SELECT id, TRY_TO_NUMBER(a.value::string) AS dms_id\n FROM {{ ref('base_ar_vendor_contract') }},\n LATERAL FLATTEN(INPUT => SPLIT(dms_carve_out, ',')) a) vdr ON vdr.id = vw.vendor_contract_id\n WHERE vdr.dms_id IS NOT NULL\n UNION ALL\n SELECT r.release_id, sdr.dms_id\n FROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_subaccount_dms_restriction') }} sdr ON r.subaccount_id = sdr.subaccount_id\n WHERE r.subaccount_id IS NOT NULL\n UNION ALL\n SELECT release_id, dms_customer_id AS dms_id\n FROM {{ ref('base_ar_release_dms_restriction') }}\n ) agg_restrictions\n INNER JOIN {{ ref('base_ar_customer_master') }} cm ON agg_restrictions.dms_id = cm.customer_id)\n\nSELECT\n release_id,\n LISTAGG(DISTINCT name, '; ') WITHIN GROUP (ORDER BY name) AS list_aggregate_restrictions\nFROM release_substore_restrictions\nGROUP BY 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_intelligence_vw_active_vendor_contract", "model.my_new_project.base_ar_vendor_contract", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_subaccount_dms_restriction", "model.my_new_project.base_ar_release_dms_restriction", "model.my_new_project.base_ar_customer_master"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "restrictions", "restrictions_release_substore"], "unique_id": "model.my_new_project.restrictions_release_substore", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/restrictions/restrictions_release_substore.sql", "original_file_path": "models/pre_existing_dbt_jobs/restrictions/restrictions_release_substore.sql", "name": "restrictions_release_substore", "alias": "restrictions_release_substore", "checksum": {"name": "sha256", "checksum": "bf424414b2a99b4b38133ff46f722bc663497ae2fbdc6b9c9ad4ecfe06c7778b"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_artist_info"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_vendor_contract"], ["base_ar_releases"], ["base_ar_subaccount_dms_restriction"], ["base_ar_release_dms_restriction"], ["base_ar_customer_master"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.8242877}, "model.my_new_project.storefront_links": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n pis.product_id AS release_id,\n cmm.customer_name AS store_name,\n CASE\n WHEN store_name = 'Spotify' THEN 'https://open.spotify.com/album/' || pis.store_internal_id\n WHEN store_name = 'Deezer' THEN 'https://www.deezer.com/album/' || pis.store_internal_id\n WHEN store_name = 'iTunes/Apple' THEN 'https://itunes.apple.com/album/' || pis.store_internal_id\n ELSE NULL END AS storefront_link\nFROM {{ ref('base_ar_product_in_store') }} pis\nINNER JOIN {{ ref('base_ar_customer_master_master') }} cmm ON cmm.customer_master_master_id=pis.store_id\nWHERE TRIM(pis.store_internal_id) != ''", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_product_in_store", "model.my_new_project.base_ar_customer_master_master"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "storefront_links", "storefront_links"], "unique_id": "model.my_new_project.storefront_links", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/storefront_links/storefront_links.sql", "original_file_path": "models/pre_existing_dbt_jobs/storefront_links/storefront_links.sql", "name": "storefront_links", "alias": "storefront_links", "checksum": {"name": "sha256", "checksum": "91f7e5c8b5ce8a9993107d8647ca805fa5afd2228da976942e5561962c095b54"}, "tags": [], "refs": [["base_ar_product_in_store"], ["base_ar_customer_master_master"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.848879}, "model.my_new_project.stg_spotify_artist_page_links": {"raw_sql": "WITH duplicate_artists AS (\n\nSELECT\nsa.artist_name AS artist_name,\nCOUNT(DISTINCT sa.spotify_artist_id) AS dups\n\nFROM {{ ref('base_cm_spotify_artist')}} sa\nWHERE sa.artist_name != 'Various Artists'\nGROUP BY sa.artist_name\nHAVING dups = 1),\n\nclean_table AS (SELECT\n'Spotify' AS store_name,\nda.artistname AS artist_name,\nCAST(sa.spotify_artist_id AS VARCHAR) AS store_artist_id,\nCONCAT('https://open.spotify.com/artist/',sa.spotify_artist_id) AS artist_page_link,\nda.artistid AS artist_id,\nda.labelid AS label_id\n\nFROM {{ ref('base_cm_spotify_artist')}} sa\nINNER JOIN duplicate_artists dup ON dup.artist_name = sa.artist_name\nINNER JOIN {{ ref('base_dim_artist')}} da on da.artistname = sa.artist_name)\n\nSELECT *\nFROM clean_table", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify_artist", "model.my_new_project.base_cm_spotify_artist", "model.my_new_project.base_dim_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "storefront_links", "artist_store_links", "stg_spotify_artist_page_links"], "unique_id": "model.my_new_project.stg_spotify_artist_page_links", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/storefront_links/artist_store_links/stg_spotify_artist_page_links.sql", "original_file_path": "models/pre_existing_dbt_jobs/storefront_links/artist_store_links/stg_spotify_artist_page_links.sql", "name": "stg_spotify_artist_page_links", "alias": "stg_spotify_artist_page_links", "checksum": {"name": "sha256", "checksum": "084c1f848437cdc40694cf0888ce3efc49adfed84b91acece62a4a4eef794bc3"}, "tags": [], "refs": [["base_cm_spotify_artist"], ["base_cm_spotify_artist"], ["base_dim_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.8658705}, "model.my_new_project.agg_artist_store_links": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH agg_artist_store_links AS \n(\nSELECT *\nFROM {{ ref('stg_apple_music_artist_page_links')}}\n\nUNION ALL\n\nSELECT *\nFROM {{ ref('stg_spotify_artist_page_links')}}\n)\n\nSELECT *\nFROM agg_artist_store_links", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_apple_music_artist_page_links", "model.my_new_project.stg_spotify_artist_page_links"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "storefront_links", "artist_store_links", "agg_artist_store_links"], "unique_id": "model.my_new_project.agg_artist_store_links", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/storefront_links/artist_store_links/agg_artist_store_links.sql", "original_file_path": "models/pre_existing_dbt_jobs/storefront_links/artist_store_links/agg_artist_store_links.sql", "name": "agg_artist_store_links", "alias": "agg_artist_store_links", "checksum": {"name": "sha256", "checksum": "7ab3f08f468eeeb68bdd9e9edf41eb485fa24b99b1d9fc6c633de44cc86a7261"}, "tags": [], "refs": [["stg_apple_music_artist_page_links"], ["stg_spotify_artist_page_links"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.8725405}, "model.my_new_project.stg_apple_music_artist_page_links": {"raw_sql": "WITH duplicate_artists AS (\n\nSELECT\nia.name AS artist_name,\nCOUNT(DISTINCT ia.itunes_artist_id) AS dups\n\nFROM {{ ref('base_cm_itunes_artist') }} ia\nWHERE ia.name != 'Various Artists'\nGROUP BY name\nHAVING dups = 1),\n\nclean_table AS (SELECT\n'iTunes/Apple' AS store_name,\nda.artistname AS artist_name,\nCAST(ia.itunes_artist_id AS VARCHAR) AS store_artist_id,\nCONCAT('https://music.apple.com/artist/',ia.itunes_artist_id) AS artist_page_link,\nda.artistid AS artist_id,\nda.labelid AS label_id\n\nFROM {{ ref('base_cm_itunes_artist') }} ia\nINNER JOIN duplicate_artists dup ON dup.artist_name = ia.name\nINNER JOIN {{ ref('base_dim_artist')}} da on da.artistname = ia.name)\n\nSELECT *\nFROM clean_table", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_itunes_artist", "model.my_new_project.base_cm_itunes_artist", "model.my_new_project.base_dim_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "storefront_links", "artist_store_links", "stg_apple_music_artist_page_links"], "unique_id": "model.my_new_project.stg_apple_music_artist_page_links", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/storefront_links/artist_store_links/stg_apple_music_artist_page_links.sql", "original_file_path": "models/pre_existing_dbt_jobs/storefront_links/artist_store_links/stg_apple_music_artist_page_links.sql", "name": "stg_apple_music_artist_page_links", "alias": "stg_apple_music_artist_page_links", "checksum": {"name": "sha256", "checksum": "228e3d83f775c83843c78d985583c30c9416517e029c5f8d9a27c2f6778d5cd2"}, "tags": [], "refs": [["base_cm_itunes_artist"], ["base_cm_itunes_artist"], ["base_dim_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.8884928}, "model.my_new_project.tiktok_track_links": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT \ndt.isrc AS isrc,\ntt.tiktok_track_id tiktok_track_id,\nCONCAT('https://www.tiktok.com/music/',tt.tiktok_track_id) AS tiktok_track_link\n\nFROM {{ ref('base_dim_track')}} dt\nINNER JOIN {{ ref('base_cm_tiktok')}} tt ON tt.isrc = dt.isrc\n\nWHERE tt.active = 'true'\nAND tt.is_duplicate = 'false'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_dim_track", "model.my_new_project.base_cm_tiktok"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "storefront_links", "tiktok_track_links", "tiktok_track_links"], "unique_id": "model.my_new_project.tiktok_track_links", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/storefront_links/tiktok_track_links/tiktok_track_links.sql", "original_file_path": "models/pre_existing_dbt_jobs/storefront_links/tiktok_track_links/tiktok_track_links.sql", "name": "tiktok_track_links", "alias": "tiktok_track_links", "checksum": {"name": "sha256", "checksum": "8072cbcd9e243b7fc24a871556131aceba5c6e4882e06cb1630323e0efbff4ac"}, "tags": [], "refs": [["base_dim_track"], ["base_cm_tiktok"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.8951616}, "model.my_new_project.rcl_track_ig_changes": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH track_instant_grat_date_changes AS (\n SELECT\n unique_track_id,\n customer_master_master_id,\n log_timestamp AS update_timestamp,\n date AS ig_date,\n LAG(date, -1) OVER (PARTITION BY unique_track_id, customer_master_master_id ORDER BY update_timestamp DESC) AS previous_ig_date\nFROM {{ ref('base_ar_track_instant_grat_log') }})\n\nSELECT\n 'Update To IG Date: ' || DATE(ig_date) AS update_to,\n 'Track IG Date Change' AS action_taken,\n DATE(ig_date) AS instant_grat_date,\n customer_master_master_id,\n update_timestamp,\n unique_track_id,\n DATE(previous_ig_date) :: string AS value\nFROM track_instant_grat_date_changes\nWHERE ig_date != previous_ig_date\n\nUNION ALL\n\nSELECT\n 'N/A' AS update_to,\n 'Newly Created Track IG' AS action_taken,\n DATE(date),\n customer_master_master_id,\n date_created,\n unique_track_id,\n 'N/A' AS previous_value\nFROM {{ ref('base_ar_track_instant_grat_log') }}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_track_instant_grat_log", "model.my_new_project.base_ar_track_instant_grat_log"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "release_change_log", "rcl_track_ig_changes"], "unique_id": "model.my_new_project.rcl_track_ig_changes", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/release_change_log/rcl_track_ig_changes.sql", "original_file_path": "models/pre_existing_dbt_jobs/release_change_log/rcl_track_ig_changes.sql", "name": "rcl_track_ig_changes", "alias": "rcl_track_ig_changes", "checksum": {"name": "sha256", "checksum": "3b76fc74b670166cb4ce935013a34d9bfdc6320ca9f85d91d080fe250725140f"}, "tags": [], "refs": [["base_ar_track_instant_grat_log"], ["base_ar_track_instant_grat_log"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.9124286}, "model.my_new_project.stg_rcl_preorder_date_changes": {"raw_sql": "WITH preorder_date_changes AS (SELECT\n release_id,\n log_timestamp AS update_timestamp,\n preorder_date,\n LAG(preorder_date, -1) OVER (PARTITION BY release_id ORDER BY update_timestamp DESC) AS previous_preorder_date\nFROM {{ ref('base_ar_releases_log') }})\n\nSELECT\n 'Update To Preorder: ' || preorder_date AS update_to,\n 'Preorder Date Change' AS action_taken,\n update_timestamp,\n release_id,\n previous_preorder_date :: string AS value\nFROM preorder_date_changes\nWHERE preorder_date != previous_preorder_date", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases_log"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "release_change_log", "stg_rcl_preorder_date_changes"], "unique_id": "model.my_new_project.stg_rcl_preorder_date_changes", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/release_change_log/stg_rcl_preorder_date_changes.sql", "original_file_path": "models/pre_existing_dbt_jobs/release_change_log/stg_rcl_preorder_date_changes.sql", "name": "stg_rcl_preorder_date_changes", "alias": "stg_rcl_preorder_date_changes", "checksum": {"name": "sha256", "checksum": "9814c9903395e9b58bf2a7ebbf24624495497897496950cf1781defb992c919f"}, "tags": [], "refs": [["base_ar_releases_log"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.9268336}, "model.my_new_project.stg_rcl_deletions_changes": {"raw_sql": "WITH deletions_changes AS (SELECT\n release_id,\n log_timestamp AS update_timestamp,\n deletions,\n LAG(deletions, -1) OVER (PARTITION BY release_id ORDER BY update_timestamp DESC) AS previous_deletions\nFROM {{ ref('base_ar_releases_log') }})\n\nSELECT\n 'Deletions Change to ' || deletions AS update_to,\n CASE\n WHEN deletions='Y' AND previous_deletions='N' THEN 'delete'\n WHEN deletions='N' AND previous_deletions='Y' THEN 'undo_delete'\n END AS action_taken,\n update_timestamp,\n release_id,\n previous_deletions AS value\nFROM deletions_changes\nWHERE deletions != previous_deletions", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases_log"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "release_change_log", "stg_rcl_deletions_changes"], "unique_id": "model.my_new_project.stg_rcl_deletions_changes", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/release_change_log/stg_rcl_deletions_changes.sql", "original_file_path": "models/pre_existing_dbt_jobs/release_change_log/stg_rcl_deletions_changes.sql", "name": "stg_rcl_deletions_changes", "alias": "stg_rcl_deletions_changes", "checksum": {"name": "sha256", "checksum": "9910b1bc18f9b835e7938de866b07bfdd9d7e96ff57787f3966147fcbfdf3bf6"}, "tags": [], "refs": [["base_ar_releases_log"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.933126}, "model.my_new_project.stg_rcl_sale_start_date_changes": {"raw_sql": "WITH sale_start_date_changes AS (SELECT\n release_id,\n log_timestamp AS update_timestamp,\n sale_start_date,\n LAG(sale_start_date, -1) OVER (PARTITION BY release_id ORDER BY update_timestamp DESC) AS previous_sale_start_date\nFROM {{ ref('base_ar_releases_log') }})\n\nSELECT\n 'Update To Sale Start: ' || sale_start_date AS update_to,\n 'Sale Start Date Change' AS action_taken,\n update_timestamp,\n release_id,\n previous_sale_start_date :: string AS value\nFROM sale_start_date_changes\nWHERE sale_start_date != previous_sale_start_date", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases_log"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "release_change_log", "stg_rcl_sale_start_date_changes"], "unique_id": "model.my_new_project.stg_rcl_sale_start_date_changes", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/release_change_log/stg_rcl_sale_start_date_changes.sql", "original_file_path": "models/pre_existing_dbt_jobs/release_change_log/stg_rcl_sale_start_date_changes.sql", "name": "stg_rcl_sale_start_date_changes", "alias": "stg_rcl_sale_start_date_changes", "checksum": {"name": "sha256", "checksum": "51635feaf86fe8ea5ace9727b6f52e77cb289351d8085c68ff99ee2f176fe470"}, "tags": [], "refs": [["base_ar_releases_log"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067939.939531}, "model.my_new_project.rcl_release_change_log": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT * FROM {{ ref('stg_rcl_sale_start_date_changes') }}\n\nUNION ALL\n\nSELECT * FROM {{ ref('stg_rcl_preorder_date_changes') }}\n\nUNION ALL \n\nSELECT * FROM {{ ref('stg_rcl_deletions_changes') }}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_rcl_sale_start_date_changes", "model.my_new_project.stg_rcl_preorder_date_changes", "model.my_new_project.stg_rcl_deletions_changes"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "pre_existing_dbt_jobs", "release_change_log", "rcl_release_change_log"], "unique_id": "model.my_new_project.rcl_release_change_log", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/release_change_log/rcl_release_change_log.sql", "original_file_path": "models/pre_existing_dbt_jobs/release_change_log/rcl_release_change_log.sql", "name": "rcl_release_change_log", "alias": "rcl_release_change_log", "checksum": {"name": "sha256", "checksum": "64654cc3f40caa23133a7c7f22911d7344506046a00414ac68f7a58d985e6621"}, "tags": [], "refs": [["stg_rcl_sale_start_date_changes"], ["stg_rcl_preorder_date_changes"], ["stg_rcl_deletions_changes"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.946155}, "model.my_new_project.apg_apple_pitch_grid": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n mp.country as priority_country,\n base.filter_date,\n r.release_id,\n r.ingestion_completed,\n --TO_DATE(IFF(base.row_type = 2, base.date_added, r.ingestion_completed)) AS Date_Added, --old date added logic\n CASE\n WHEN base.row_type = 2 AND base.date_added < r.ingestion_completed THEN r.ingestion_completed\n WHEN base.row_type = 2 AND base.date_added > r.ingestion_completed THEN base.date_added\n ELSE r.ingestion_completed END AS Date_Added,\n r.not_for_distribution,\n IFF(base.row_type = 2, 'SONG', 'PL') AS content_type,\n r.label AS label_name,\n v.vendor_id as label_id,\n u.f_name||' '||u.l_name AS label_manager,\n IFF(base.row_type != 2 AND r.format != 'Single', id.apple_id, '') AS apple_id,\n r.upc AS upc_ean,\n mfit.release_id AS mastered_for_itunes,\n ai.name AS artist_name,\n base.content_title,\n gmapg.genre_mapping_apple_pitch_grid AS apple_genre,\n g.genre AS orchard_genre,\n sg.name AS orchard_subgenre,\n br.bits_per_sample AS bits_per_sample,\n IFF(base.row_type = 2, 'Song',\n CASE r.format\n WHEN 'Single' THEN 'Single'\n WHEN 'Full Length' THEN 'Album'\n WHEN 'EP' THEN 'EP'\n ELSE '' END) AS format,\n base.store_date,\n IFF(base.row_type IN (1,3), 'Pre-order', 'New Release') AS type,\n IFF(base.row_type = 2, TRUE, NULL) AS instant_grat,\n mkt.mktg_blurb AS description,\n gd.global_mktg_highlights AS global_drivers,\n ld.local_mktg_highlights AS local_drivers\nFROM {{ ref('stg_apg_base' )}} base\nINNER JOIN {{ ref('base_ar_releases') }} r ON base.release_id = r.release_id\nINNER JOIN {{ ref('stg_apg_mkt_priority') }} mp ON r.release_id = mp.release_id\nLEFT JOIN {{ ref('stg_apg_apple_id') }} id ON r.release_id = id.product_id\nINNER JOIN {{ ref('base_ar_genre') }} g ON r.genre_id = g.genre_id\nINNER JOIN {{ ref('base_ar_release_subgenre') }} rg ON r.release_id = rg.release_id\nINNER JOIN {{ ref('base_ar_subgenre') }} sg ON rg.subgenre_id = sg.orchard_id\nLEFT JOIN {{ ref('base_intelligence_genre_mapping_apple_pitch_grid') }} gmapg ON g.genre_id = gmapg.genre_id AND sg.orchard_id = gmapg.subgenre_id\nLEFT JOIN {{ ref('stg_apg_mktg_blurb') }} mkt ON r.release_id = mkt.release_id\nLEFT JOIN {{ ref('stg_apg_global_mktg_highlights') }} gd ON r.project_id = gd.project_id\nLEFT JOIN {{ ref('stg_apg_local_mktg_highlights') }} ld ON r.project_id = ld.project_id AND mp.country=ld.country\nLEFT JOIN {{ ref('stg_apg_bit_rate') }} br ON r.release_id = br.upc\nLEFT JOIN {{ ref('base_ar_release_mfit_info') }} mfit ON r.release_id = mfit.release_id\nINNER JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id = ai.artist_id\nINNER JOIN {{ ref('base_art_relations_vendor') }} v ON ai.vendor_id = v.vendor_id\nINNER JOIN {{ ref('base_intelligence_vw_active_vendor_contract') }} vw ON v.vendor_id = vw.vendor_id\nINNER JOIN {{ ref('base_ar_orchadmin_users') }} u ON v.assigned_to = u.id\nWHERE r.product_type_id = 1\nAND r.deletions = 'N'\nAND r.not_for_distribution in ('N', 'SwitchboardDummy')\nAND r.release_status = 'in_content'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_apg_base", "model.my_new_project.base_ar_releases", "model.my_new_project.stg_apg_mkt_priority", "model.my_new_project.stg_apg_apple_id", "model.my_new_project.base_ar_genre", "model.my_new_project.base_ar_release_subgenre", "model.my_new_project.base_ar_subgenre", "model.my_new_project.base_intelligence_genre_mapping_apple_pitch_grid", "model.my_new_project.stg_apg_mktg_blurb", 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"/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "pre_existing_dbt_jobs/apple_pitch_grid/apg_apple_pitch_grid.sql", "original_file_path": "models/pre_existing_dbt_jobs/apple_pitch_grid/apg_apple_pitch_grid.sql", "name": "apg_apple_pitch_grid", "alias": "apg_apple_pitch_grid", "checksum": {"name": "sha256", "checksum": "ab9364bc01bad63c3aed0e244eafef913eea42139cf0711f4748fa47fea92bfb"}, "tags": [], "refs": [["stg_apg_base"], ["base_ar_releases"], ["stg_apg_mkt_priority"], ["stg_apg_apple_id"], ["base_ar_genre"], ["base_ar_release_subgenre"], ["base_ar_subgenre"], ["base_intelligence_genre_mapping_apple_pitch_grid"], ["stg_apg_mktg_blurb"], ["stg_apg_global_mktg_highlights"], ["stg_apg_local_mktg_highlights"], ["stg_apg_bit_rate"], ["base_ar_release_mfit_info"], ["base_ar_artist_info"], ["base_art_relations_vendor"], ["base_intelligence_vw_active_vendor_contract"], ["base_ar_orchadmin_users"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067939.9630368}, "model.my_new_project.stg_apg_base": {"raw_sql": "-- release\n SELECT\n sale_start_date AS filter_date,\n 0 AS row_type,\n sale_start_date AS store_date,\n release_id,\n release_id AS base_id,\n release_name AS content_title,\n not_for_distribution,\n ingestion_completed AS date_added\n FROM {{ ref('base_ar_releases') }}\n UNION ALL\n -- preorder\n SELECT\n preorder_date,\n 1,\n preorder_date,\n release_id,\n release_id,\n release_name,\n not_for_distribution,\n ingestion_completed\n FROM {{ ref('base_ar_releases') }}\n UNION ALL\n -- instant_grat\n SELECT\n ig.date,\n 2,\n ig.date,\n tr.release_id,\n ig.unique_track_id,\n tr.track_name,\n null as not_for_distribution,\n TO_DATE(ig.date_created)\n FROM {{ ref('base_ar_track_instant_grat') }} ig\n INNER JOIN {{ ref('base_ar_track') }} tr ON ig.unique_track_id = tr.id\n WHERE customer_master_master_id = 1 AND active = 'Y'\n UNION ALL\n -- release for instant_grat\n SELECT\n ig.date,\n 3,\n r.sale_start_date,\n r.release_id,\n r.release_id,\n r.release_name,\n not_for_distribution,\n r.ingestion_completed\n FROM {{ ref('base_ar_track_instant_grat') }} ig\n INNER JOIN {{ ref('base_ar_track') }} tr ON ig.unique_track_id = tr.id\n INNER JOIN {{ ref('base_ar_releases') }} r ON tr.release_id = r.release_id\n WHERE customer_master_master_id = 1 AND active = 'Y'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_track_instant_grat", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_track_instant_grat", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, 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v.company = '', v.name, v.company) AS label_name,\n s.subaccount_id,\n s.subaccount_name,\n oa.f_name || ' ' || oa.l_name AS label_manager\n\n\nFROM {{ ref('base_art_relations_vendor') }} v\nLEFT JOIN {{ ref('base_ar_artist_info') }} ai ON v.vendor_id=ai.vendor_id\nLEFT JOIN {{ ref('base_ar_releases') }} r ON r.artist_id=ai.artist_id\nLEFT JOIN {{ ref('base_ar_track') }} t ON t.release_id=r.release_id\nLEFT JOIN {{ ref('base_ar_subaccount') }} s ON s.subaccount_id=r.subaccount_id AND s.vendor_id=v.vendor_id\nLEFT JOIN {{ ref('base_ar_orchadmin_users') }} oa ON oa.id=v.assigned_to\nLEFT JOIN {{ ref('base_ar_genre') }} g ON g.genre_id=r.genre_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_subaccount", "model.my_new_project.base_ar_orchadmin_users", 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"tags": [], "refs": [["base_art_relations_vendor"], ["base_ar_artist_info"], ["base_ar_releases"], ["base_ar_track"], ["base_ar_subaccount"], ["base_ar_orchadmin_users"], ["base_ar_genre"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.0784814}, "model.my_new_project.advance_mktfund_2": {"raw_sql": "SELECT\n agreements.assignor_id, \n sum((CASE WHEN (credit_or_debit = 'Credit') THEN (wht_adjusted_amount * -1) ELSE wht_adjusted_amount END)) account_amt\n FROM {{ ref('base_account_payments') }} account_payments\n INNER JOIN {{ ref('base_agreements') }} agreements ON account_payments.account_id = agreements.id\n WHERE payment_type IN ('Marketing Fund', 'Advance') \n AND agreements.outgoing_agreement_type IN ('Client', 'Client/Fund')\n AND agreements.client_rights = 'Publishing Rights'\n GROUP BY agreements.assignor_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_account_payments", "model.my_new_project.base_agreements"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "AWAL", "awal_group_agr_nr", "advance_mktfund_2"], "unique_id": "model.my_new_project.advance_mktfund_2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "AWAL/awal_group_agr_nr/advance_mktfund_2.sql", "original_file_path": "models/AWAL/awal_group_agr_nr/advance_mktfund_2.sql", "name": "advance_mktfund_2", "alias": "advance_mktfund_2", "checksum": {"name": "sha256", "checksum": "1689acf1718046e21a2b46d5d77dbdb61c4d4873d278b94aee861102bad21b9b"}, "tags": [], "refs": [["base_account_payments"], ["base_agreements"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.08998}, "model.my_new_project.awal_agr_nr_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'table',\n 'unique_key' : 'agreement_id',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (agreement_id);'\n ]\n })\n}}\n\nSELECT\n AGREEMENTS.ID AGREEMENT_ID,\n AGREEMENTS.DESCRIPTION_OF_RIGHTS,\n cur.abbreviation agreement_currency,\n AGREEMENTS.ACCOUNTING_PERIOD,\n AGREEMENTS.ASSIGNOR_ID CLIENT_IP_ID,\n CLIENT.CREATED_DATE CLIENT_CREATED_DATE,\n concat(CAST(year(dateadd(month, 6, client.created_date)) AS varchar), 'Q', CAST(quarter(dateadd(month, 6, client.created_date)) AS varchar)) as CLIENT_CRTD_FISCAL_Q,\n CLIENT.NAME CLIENT_NAME,\n ACQUIRER.ID ACQUIRER_ID,\n ACQUIRER.NAME ACQUIRER_NAME,\n AGREEMENTS.ARTIST_NAME,\n AGREEMENTS.CREATED_DATE AGREEMENT_CREATED_DATE,\n AGREEMENTS.AGREEMENT_SIGNED_DATE,\n concat(CAST(year(dateadd(month,6,COALESCE(agreements.agreement_signed_date, agreements.created_date))) AS varchar), 'Q', CAST(quarter(dateadd(month,6,COALESCE(agreements.agreement_signed_date, agreements.created_date))) AS varchar)) as AGR_SIGNED_CRTD_FISCAL_Q,\n AGREEMENT_PERIODS.MAX_END_DATE AGREEMENT_MAX_END_DATE,\n AGREEMENTS.SALESFORCE_OPPORTUNITY_ID,\n AGREEMENTS.SALESFORCE_OPPORTUNITY_NAME,\n (CASE WHEN (HAS_PHYSICAL.AGREEMENT_ID IS NULL) THEN 'No' ELSE 'Yes' END) PHYSICAL_YN,\n (CASE WHEN ((COALESCE(ADVANCE.ACCOUNT_AMT, 0) + COALESCE(MKTFUND.ACCOUNT_AMT, 0)) > 1) THEN 1 ELSE 0 END) TRUE_FALSE,\n (COALESCE(ADVANCE.ACCOUNT_AMT, 0) * -1) ADVANCE,\n (COALESCE(MKTFUND.ACCOUNT_AMT, 0) * -1) MARKETING_FUND,\n (COALESCE(ADVANCE.ACCOUNT_AMT, 0) + (COALESCE(MKTFUND.ACCOUNT_AMT, 0) * -1)) TOTAL_ADVANCES,\n (COALESCE(ADJUSTMENT.ACCOUNT_AMT, 0) * -1) ADJUSTMENT,\n (COALESCE(TRANSFER.ACCOUNT_AMT, 0) * -1) TRANSFER,\n (COALESCE(MECH_PHY_SHAR_WHT.ACCOUNT_AMT, 0) * -1) MECH_PHY_SHARED_WHT,\n (COALESCE(OVERRIDE.ACCOUNT_AMT, 0) * -1) OVERRIDE,\n (COALESCE(BALANCE.ACCOUNT_AMT, 0) * -1) BALANCE,\n ADMIN.ADMINISTERED_BY,\n DEALMAKER.NAME DEAL_MAKER,\n PRIMARY_OWNER.NAME PRIMARY_OWNER,\n SECONDARY_OWNER.NAME SECONDARY_OWNER,\n KLS_PRODUCT_MANAGER.NAME KLS_PRODUCT_MANAGER,\n \"round\"((\"avg\"(COALESCE(COMM.AVG_COM, INACTIVE_COMM.AVG_COM)) / 100), 4) AVG_COMISSION_RATE,\n XREOUP_DET.DETAILS CROSS_RECOUP_DETAILS\n\nFROM {{ ref('base_agreements') }} agreements\nLEFT JOIN {{ ref('mktfund') }} mktfund on agreements.id = mktfund.account_id\nLEFT JOIN {{ ref('advance') }} advance ON agreements.id = advance.account_id\nLEFT JOIN {{ ref('comm') }} comm ON agreements.id = comm.agreement_id\nLEFT JOIN {{ ref('inactive_comm') }} inactive_comm ON agreements.id = inactive_comm.agreement_id\nINNER JOIN {{ ref('base_interested_parties') }} client ON client.id = agreements.assignor_id\nINNER JOIN {{ ref('base_interested_parties') }} acquirer ON acquirer.id = agreements.acquirer_id\nLEFT JOIN {{ ref('agreement_periods') }} agreement_periods ON agreements.id = agreement_periods.agreement_id\nLEFT JOIN {{ ref('advance_mktfund_2') }} advance_mktfund ON agreements.assignor_id = advance_mktfund.assignor_id\nLEFT JOIN {{ ref('adjustment') }} adjustment ON agreements.id = adjustment.account_id\nLEFT JOIN {{ ref('balance') }} balance ON agreements.id = balance.account_id\nLEFT JOIN {{ ref('transfer') }} transfer ON agreements.id = transfer.account_id\nLEFT JOIN {{ ref('mech_phy_shar_wht') }} mech_phy_shar_wht ON agreements.id = mech_phy_shar_wht.account_id\nLEFT JOIN {{ ref('override') }} override ON agreements.id = override.account_id\nLEFT JOIN {{ ref('admin') }} admin ON agreements.id = 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account_amt\n FROM {{ ref('base_account_payments') }} account_payments\n INNER JOIN {{ ref('base_exchange_rates') }} to_usd ON ((((to_usd.from_currency_id = account_payments.original_currency_id) AND (to_usd.to_currency_id = 'CUR79')) \n AND (to_usd.start_date <= account_payments.payment_date)) AND (to_usd.end_date >= account_payments.payment_date))\n WHERE (payment_type IN ('Balance'))\n GROUP BY account_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_account_payments", "model.my_new_project.base_exchange_rates"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "AWAL", "awal_group_agr_recordings", "balance"], 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})\n}}\n\nSELECT\n agreements.id as agreement_id, \n cur.abbreviation as agreement_currency, \n agreements.description_of_rights as description_of_rights,\n agreements.accounting_period as accounting_period,\n recordings_priority_ranks.description as tier,\n sl.segment client_segment,\n agreements.label_service_agreement_type as label_service_agreement_type,\n agreements.assignor_id as client_ip_id,\n date_trunc('day', client.created_date) as client_created_date,\n concat(CAST(year(dateadd(month, 6, client.created_date)) AS varchar), 'Q', CAST(quarter(dateadd(month, 6, client.created_date)) AS varchar)) as client_crtd_fiscal_q,\n concat(CAST(year(dateadd(month, 3, client.created_date)) AS varchar), 'Q', CAST(quarter(dateadd(month, 3, client.created_date)) AS varchar)) as client_crtd_fiscal_q_sony,\n client.name as client_name,\n acquirer.id as acquirer_id,\n acquirer.name as acquirer_name,\n agreements.artist_name as artist_name,\n date_trunc('day', agreements.created_date) as agreement_created_date,\n agreements.agreement_signed_date as agreement_signed_date,\n concat(CAST(year(dateadd(month,6,COALESCE(agreements.agreement_signed_date, agreements.created_date))) AS varchar), 'Q', CAST(quarter(dateadd(month,6,COALESCE(agreements.agreement_signed_date, agreements.created_date))) AS varchar)) as agr_signed_crtd_fiscal_q,\n concat(CAST(year(dateadd(month,3,COALESCE(agreements.agreement_signed_date, agreements.created_date))) AS varchar), 'Q', CAST(quarter(dateadd(month,3,COALESCE(agreements.agreement_signed_date, agreements.created_date))) AS varchar)) as agr_signed_crtd_fiscal_q_sony,\n agreement_periods.max_end_date as agreement_max_end_date,\n agreements.salesforce_opportunity_id as salesforce_opportunity_id,\n agreements.salesforce_opportunity_name as salesforce_opportunity_name,\n agreements.terminated_date as terminated_date,\n (CASE WHEN (has_physical.agreement_id IS NULL) THEN 'No' ELSE 'Yes' END) as physical_yn,\n (CASE WHEN (has_digital.agreement_id IS NULL) THEN 'No' ELSE 'Yes' END) as digital_yn,\n (CASE WHEN (((COALESCE(paid_advance.account_amt, 0) + COALESCE(contingent_advance.account_amt, 0)) + COALESCE(mktfund.account_amt, 0)) > 1) THEN 1 ELSE 0 END) as true_false,\n (COALESCE(paid_advance.account_amt, 0) * -1) as paid_advance,\n (COALESCE(contingent_advance.account_amt, 0) * -1) as contingent_advance,\n (COALESCE(mktfund.account_amt, 0) * -1) as marketing_fund,\n (((COALESCE(paid_advance.account_amt, 0) + COALESCE(contingent_advance.account_amt, 0)) + COALESCE(mktfund.account_amt, 0)) * -1) as total_advances,\n (COALESCE(adjustment.account_amt, 0) * -1) as adjustment,\n (COALESCE(transfer.account_amt, 0) * -1) as transfer,\n (COALESCE(mech_phy_shar_wht.account_amt, 0) * -1) as mech_phy_shared_wht,\n (COALESCE(override.account_amt, 0) * -1) as override,\n (COALESCE(balance.account_amt, 0) * -1) as balance,\n admin.administered_by as administered_by,\n dealmaker.name as deal_maker,\n primary_owner.name as primary_owner,\n secondary_owner.name as secondary_owner,\n kls_product_manager.name as kls_product_manager,\n xreoup_det.details as cross_recoup_details,\n round((avg(COALESCE(comm.avg_com, inactive_comm.avg_com)) / 100), 4) as avg_comission_rate\n\nFROM {{ ref('base_agreements') }} agreements\nLEFT JOIN {{ ref('mktfund') }} mktfund on agreements.id = mktfund.account_id\nLEFT JOIN {{ ref('paid_advance') }} paid_advance ON agreements.id = paid_advance.account_id\nLEFT JOIN {{ ref('contingent_advance') }} contingent_advance ON agreements.id = contingent_advance.account_id\nLEFT JOIN {{ ref('comm') }} comm ON agreements.id = comm.agreement_id\nLEFT JOIN {{ ref('inactive_comm') }} inactive_comm ON agreements.id = inactive_comm.agreement_id\nINNER JOIN {{ ref('base_interested_parties') }} client ON client.id = agreements.assignor_id\nINNER JOIN {{ ref('base_interested_parties') }} acquirer ON acquirer.id = agreements.acquirer_id\nLEFT JOIN {{ ref('agreement_periods') }} agreement_periods ON agreements.id = agreement_periods.agreement_id\nLEFT JOIN {{ ref('base_recordings_priority_ranks') }} recordings_priority_ranks ON client.recordings_priority_rank_id = recordings_priority_ranks.id\nLEFT JOIN {{ ref('advance_mktfund') }} advance_mktfund ON agreements.assignor_id = advance_mktfund.assignor_id\nLEFT JOIN {{ ref('adjustment') }} adjustment ON agreements.id = adjustment.account_id\nLEFT JOIN {{ ref('balance') }} balance ON agreements.id = balance.account_id\nLEFT JOIN {{ ref('transfer') }} transfer ON agreements.id = transfer.account_id\nLEFT JOIN {{ ref('mech_phy_shar_wht') }} mech_phy_shar_wht ON agreements.id = mech_phy_shar_wht.account_id\nLEFT JOIN {{ ref('override') }} override ON agreements.id = override.account_id\nLEFT JOIN {{ ref('admin') }} admin ON agreements.id = admin.agreement_id\nLEFT JOIN {{ ref('has_physical') }} has_physical ON agreements.id = has_physical.agreement_id\nLEFT JOIN {{ ref('has_digital') }} has_digital ON agreements.id = has_digital.agreement_id\nLEFT JOIN 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'AGR238104', 'AGR238175', \n 'AGR238177', 'AGR238201', 'AGR238250', 'AGR238264', 'AGR238308', 'AGR238332', 'AGR238341', 'AGR238345', 'AGR238365', 'AGR238367', \n 'AGR238390', 'AGR238397', 'AGR238405', 'AGR238406', 'AGR238411', 'AGR238412', 'AGR238416', 'AGR238417', 'AGR238580', 'AGR239081', \n 'AGR239093', 'AGR239102', 'AGR239124', 'AGR239165', 'AGR239247', 'AGR239895', 'AGR239920', 'AGR245639', 'AGR245686', 'AGR245801', \n 'AGR245829', 'AGR245853', 'AGR246147', 'AGR246153', 'AGR249171', 'AGR249173', 'AGR249203', 'AGR249207', 'AGR249222', 'AGR249297', \n 'AGR249299', 'AGR250697', 'AGR250745', 'AGR250750', 'AGR250774', 'AGR255459', 'AGR255474', 'AGR255487', 'AGR256443', 'AGR256561', \n 'AGR256883', 'AGR256891', 'AGR256899', 'AGR256925', 'AGR256927', 'AGR256931', 'AGR256932', 'AGR256949', 'AGR257623', 'AGR258062', \n 'AGR258221', 'AGR258480', 'AGR258705', 'AGR258858', 'AGR259122', 'AGR259318', 'AGR259438', 'AGR259537', 'AGR259539', 'AGR259579', \n 'AGR259582', 'AGR259591', 'AGR259593', 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'AGR314577 ', 'AGR315898', \n 'AGR317258', 'AGR318158', 'AGR321677', 'AGR324297', 'AGR324360', 'AGR330797', 'AGR331600', 'AGR332250', 'AGR332497', 'AGR338117', \n 'AGR338259', 'AGR338344', 'AGR342531', 'AGR342758', 'AGR343704', 'AGR343839', 'AGR344327', 'AGR345066', 'AGR345982', 'AGR346419', \n 'AGR347877', 'AGR347897', 'AGR348697', 'AGR355154', 'AGR361717', 'AGR364146', 'AGR365277', 'AGR365874', 'AGR372302', 'AGR372718', \n 'AGR373458', 'AGR376877', 'AGR378749', 'AGR379038', 'AGR389332', 'AGR389333', 'AGR391585', 'AGR391597', 'AGR397281', 'AGR398216', \n 'AGR421366', 'AGR428200', 'AGR429796', 'AGR449697', 'AGR458961', 'AGR474460', 'AGR477308', 'AGR492280', 'AGR457443', 'AGR143417', \n 'AGR154421', 'AGR155017', 'AGR223897', 'AGR233567', 'AGR233623', 'AGR233629', 'AGR233690', 'AGR233699', 'AGR233722', 'AGR233794', \n 'AGR233818', 'AGR233974', 'AGR234019', 'AGR234352', 'AGR234388', 'AGR234389', 'AGR234511', 'AGR234674', 'AGR234743', 'AGR234825', \n 'AGR235201', 'AGR235249', 'AGR235639', 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["my_new_project", "AWAL", "awal_num_active_artists", "agreements_derived"], "unique_id": "model.my_new_project.agreements_derived", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "AWAL/awal_num_active_artists/agreements_derived.sql", "original_file_path": "models/AWAL/awal_num_active_artists/agreements_derived.sql", "name": "agreements_derived", "alias": "agreements_derived", "checksum": {"name": "sha256", "checksum": "5bf1a0065262b4acd98477285d003fe8711ba70a36184d020f7aace36364d0cc"}, "tags": [], "refs": [["base_agreements"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.3241777}, "model.my_new_project.awal_tier_groups": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect \n dpc.name as parent_company,\n db.name as brand_name,\n dst.name as service_tier_name,\n dl.*\nfrom {{ ref('base_dim_label')}} dl\nleft join {{ ref('base_dim_brand')}} db on dl.brandid = db.id\nleft join {{ ref('base_dim_parent_company')}} dpc on db.parentcompanyid = dpc.id\nleft join {{ ref('base_dim_service_tier')}} dst on dl.servicetierid = dst.id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_dim_label", "model.my_new_project.base_dim_brand", "model.my_new_project.base_dim_parent_company", "model.my_new_project.base_dim_service_tier"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "AWAL", "awal_tier_groups", "awal_tier_groups"], "unique_id": "model.my_new_project.awal_tier_groups", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "AWAL/awal_tier_groups/awal_tier_groups.sql", "original_file_path": "models/AWAL/awal_tier_groups/awal_tier_groups.sql", "name": "awal_tier_groups", "alias": "awal_tier_groups", "checksum": {"name": "sha256", "checksum": "04d95d5a58aaf32b5d9e4a8b97517fc77401d1b97edb038ef79dd25c29906ed2"}, "tags": [], "refs": [["base_dim_label"], ["base_dim_brand"], ["base_dim_parent_company"], ["base_dim_service_tier"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.3282194}, "model.my_new_project.awal_applications_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'table',\n 'unique_key' : 'id',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (id);'\n ]\n })\n}}\n\nSELECT\n status,\n id,\n professional_name,\n submission_date,\n created_date,\n modified_date,\n processed_date,\n country,\n to_date(submission_date) as terminated_date,\n dateadd(day,-5, date_trunc(week, dateadd(day,5,submission_date))) as datefrom,\n dateadd(day,1, date_trunc(week, dateadd(day,5,submission_date))) as dateto,\n concat(concat(month(submission_date), '-'), CAST(year(submission_date) AS varchar)) as month,\n concat(concat(concat('Q', CAST(quarter(submission_date) AS varchar)), '-'), CAST(year(submission_date) AS varchar)) as quarter,\n year(submission_date) as year\n\n\nFROM\n {{ ref('base_awal_applications') }}\nWHERE submission_date >= DATEADD('year', -1, DATE_TRUNC('year', CURRENT_DATE())) AND submission_date < DATEADD('year', 2, DATEADD('year', -1, DATE_TRUNC('year', CURRENT_DATE())))\nGROUP BY 1,2,3,4,5,6,7,8,9", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_awal_applications"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "id", "on_schema_change": "ignore", "grants": {}, "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (id);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "AWAL", "awal_applications", "awal_applications_model"], "unique_id": "model.my_new_project.awal_applications_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "AWAL/awal_applications/awal_applications_model.sql", "original_file_path": "models/AWAL/awal_applications/awal_applications_model.sql", "name": "awal_applications_model", "alias": "awal_applications_model", "checksum": {"name": "sha256", "checksum": "7ba16a72021cbd88d287af36b1f05fd5bc9278965b3293036ce38d495ff4cc2d"}, "tags": [], "refs": [["base_awal_applications"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table", "unique_key": "id", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (id);"]}, "created_at": 1660067940.3386197}, "model.my_new_project.abacus_fact_sales": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'txn_id',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (txn_id, isrc, upc);'\n ]\n })\n}}\n\nSELECT\n ap.statement_period_id AS STATEMENT_PERIOD_ID,\n cts.account_id AS ACCOUNT_ID,\n cm.iso_code AS ACCOUNT_PAYEE_CURRENCY,\n ts.sale_currency_code AS SALE_CURRENCY_CODE,\n ar.accounting_period_id AS ACCOUNTING_PERIOD_ID,\n ts.country_id AS COUNTRY_ID,\n ts.isrc AS ISRC,\n ts.store_id AS STORE_ID,\n ts.upc AS UPC,\n ts.statement_id AS STATEMENT_ID,\n ts.transaction_date AS TRANSACTION_DATE,\n arr.*\n\nFROM {{ ref('base_accounting_run_results') }} arr\nINNER JOIN {{ ref('base_contract_transaction_staging') }} cts ON cts.txn_id = arr.txn_id\nINNER JOIN {{ ref('base_currency_map') }} cm ON cm.iso_number = cts.payee_currency_id\nINNER JOIN {{ ref('base_accounting_run') }} ar ON ar.accounting_run_id = arr.accounting_run_id\nINNER JOIN {{ ref('base_accounting_period') }} ap ON ap.accounting_period_id = ar.accounting_period_id\nINNER JOIN {{ ref('base_sales_file') }} sf ON sf.accounting_period_id=ap.accounting_period_id\nINNER JOIN {{ ref('base_unprocessed_transactions_staging') }} ts ON ts.txn_id = arr.txn_id AND ts.sales_file_id = sf.sales_file_id\n\nWHERE\n{% if is_incremental () %}\nTRANSACTION_DATE > '2021-01-01' \n{% else %}\nTRANSACTION_DATE >= '2015-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.base_accounting_run_results", "model.my_new_project.base_contract_transaction_staging", "model.my_new_project.base_currency_map", "model.my_new_project.base_accounting_run", "model.my_new_project.base_accounting_period", "model.my_new_project.base_sales_file", "model.my_new_project.base_unprocessed_transactions_staging"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "txn_id", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (txn_id, isrc, upc);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "ABACUS", 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"delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (txn_id, isrc, upc);"]}, "created_at": 1660067940.3461783}, "model.my_new_project.release_schedule_dashboard": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n r.release_id,\n r.release_date,\n r.sale_start_date,\n r.preorder_date,\n r.upc,\n r.product_code,\n r.last_updated,\n r.delivered_version AS version,\n ai.artist_id,\n ai.name AS artist_name,\n ac.name AS artist_country,\n r.release_name,\n r.label AS imprint,\n g.genre,\n sg.subgenre,\n v.vendor_id AS label_id,\n lc.name AS label_country,\n IFF(v.company IS NULL OR v.company = '', v.name, v.company) AS label_name,\n oa.f_name||' '||oa.l_name AS label_manager,\n df.context_type,\n v.quarterback_label_manager,\n COALESCE(r.format, '') AS release_format,\n COALESCE(df.media_format, '') AS media_format,\n COALESCE(pp.display_configuration, '') AS display_configuration,\n COALESCE(mkt1.mktg_blurb, '') AS mktg_blurb,\n COALESCE(sh.sync_highlights, '') AS sync_highlights,\n COALESCE(mkt2.global_mktg_highlights, '') AS global_mktg_highlights,\n COALESCE(md.local_mktg_highlights, '') AS local_mktg_highlights,\n COALESCE(dsh.store_specific_highlights, '') AS store_specific_highlights,\n COALESCE(dmp.internal_note, '') AS internal_note,\n COALESCE(p.description, '') AS project_description,\n COALESCE(pr.promo_link, '') AS promo_link,\n mp.priority,\n mp.priority_ab,\n mp.priority_a,\n mp.priority_b,\n r.release_status,\n r.deletions,\n r.not_for_distribution\nFROM {{ ref('base_ar_releases') }} r\n INNER JOIN {{ ref('base_ar_project') }} p ON r.project_id = p.project_id\n INNER JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id = ai.artist_id\n LEFT JOIN {{ ref('base_ar_country') }} ac ON ai.orchard_country = ac.id\n INNER JOIN {{ ref('base_art_relations_vendor') }} v ON ai.vendor_id = v.vendor_id\n LEFT JOIN {{ ref('base_ar_country') }} lc ON v.country = lc.id\n INNER JOIN {{ ref('base_ar_orchadmin_users') }} oa ON v.assigned_to = oa.id\n LEFT JOIN {{ ref('base_ar_genre') }} g ON r.genre_id = g.genre_id\n LEFT JOIN (\n SELECT rs.release_id, s.name AS subgenre\n FROM {{ ref('base_ar_release_subgenre') }} rs\n INNER JOIN {{ ref('base_ar_subgenre') }} s ON rs.subgenre_id = s.orchard_id\n ) sg ON r.release_id = sg.release_id\n LEFT JOIN (\n SELECT d.distribution_format_id, d.context_type, dfm.name AS media_format\n FROM {{ ref('base_ar_distribution_format') }} d\n INNER JOIN {{ ref('base_ar_distribution_format_media') }} dfm ON d.distribution_format_media_id = dfm.distribution_format_media_id\n ) df ON r.distribution_format_id = df.distribution_format_id\n LEFT JOIN {{ ref('base_ar_product_physical') }} pp ON r.release_id = pp.release_id\n LEFT JOIN (\n SELECT\n info_for_id AS release_id,\n REGEXP_REPLACE(description,'(<[^>]+?>| )') AS mktg_blurb\n FROM {{ ref('base_ar_mkt_program_info') }} \n WHERE info_for = 'release' AND mkt_program_id = 15\n ) mkt1 ON r.release_id = mkt1.release_id\n LEFT JOIN (\n SELECT\n info_for_id AS project_id,\n REGEXP_REPLACE(description,'(<[^>]+?>| )') AS global_mktg_highlights\n FROM {{ ref('base_ar_mkt_program_info') }}\n WHERE info_for = 'project' AND mkt_program_id = 20\n ) mkt2 ON r.project_id = mkt2.project_id\n LEFT JOIN (\n SELECT\n info_for_id AS project_id,\n REGEXP_REPLACE(description,'(<[^>]+?>| )') AS sync_highlights\n FROM {{ ref('base_ar_mkt_program_info') }}\n WHERE info_for = 'project' AND mkt_program_id = 22\n ) sh ON r.project_id = sh.project_id\n LEFT JOIN (\n SELECT product_id, ('https://promo.theorchard.com/'||code) AS promo_link\n FROM {{ ref('base_ar_promo_player') }}\n WHERE active = 1\n ) pr ON r.release_id = pr.product_id\n LEFT JOIN (\n SELECT\n release_id,\n priority,\n LISTAGG(priority_ab, '||') WITHIN GROUP (ORDER BY priority_ab ASC) AS priority_ab,\n LISTAGG(priority_a, '||') WITHIN GROUP (ORDER BY priority_a ASC) AS priority_a,\n LISTAGG(priority_b, '||') WITHIN GROUP (ORDER BY priority_b ASC) AS priority_b\n FROM (\n SELECT\n mp.release_id,\n mp.priority as priority,\n dmpc.country_name AS priority_ab,\n IFF(mp.priority = 'a', dmpc.country_name, NULL) AS priority_a,\n IFF(mp.priority = 'b', dmpc.country_name, NULL) AS priority_b\n FROM {{ ref('base_ar_mkt_priority') }} mp\n INNER JOIN (\n SELECT DISTINCT country_id, country_name\n FROM {{ ref('base_ar_digital_marketing_projections_by_country') }}\n WHERE country_name != 'United States'\n ) dmpc ON mp.country_id = dmpc.country_id\n )\n GROUP BY 1,2\n ) mp ON r.release_id = mp.release_id\n LEFT JOIN (\n SELECT\n project_id,\n LISTAGG(country_name||': '||value, '||') WITHIN GROUP (ORDER BY country_name ASC) AS local_mktg_highlights\n FROM {{ ref('base_ar_marketing_driver') }}\n GROUP BY 1\n ) md ON r.project_id = md.project_id\n LEFT JOIN (\n SELECT\n dsh.project_id,\n LISTAGG(ds.store||': '||dsh.value, '||') WITHIN GROUP (ORDER BY ds.store ASC) AS store_specific_highlights\n FROM {{ ref('base_ar_digital_store_highlights') }} dsh\n INNER JOIN {{ ref('base_ar_digital_stores') }} ds ON dsh.store_id = ds.id\n GROUP BY 1\n ) dsh ON r.project_id = dsh.project_id\n LEFT JOIN {{ ref('base_ar_digital_marketing_projections') }} dmp ON r.release_id = dmp.product_id\nWHERE r.product_type_id = 1\n AND r.deletions = 'N'\n AND r.not_for_distribution IN ('N','SwitchboardDummy')", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_project", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_ar_country", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_country", "model.my_new_project.base_ar_orchadmin_users", "model.my_new_project.base_ar_genre", "model.my_new_project.base_ar_release_subgenre", "model.my_new_project.base_ar_subgenre", "model.my_new_project.base_ar_distribution_format", "model.my_new_project.base_ar_distribution_format_media", 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["base_ar_product_physical"], ["base_ar_mkt_program_info"], ["base_ar_mkt_program_info"], ["base_ar_mkt_program_info"], ["base_ar_promo_player"], ["base_ar_mkt_priority"], ["base_ar_digital_marketing_projections_by_country"], ["base_ar_marketing_driver"], ["base_ar_digital_store_highlights"], ["base_ar_digital_stores"], ["base_ar_digital_marketing_projections"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.360679}, "model.my_new_project.base_ar_global_mkt_highlights": {"raw_sql": "SELECT\n r.release_id,\n r.upc,\n COALESCE(mkt2.global_mktg_highlights, '') AS global_mktg_highlights\n \nFROM {{ ref('base_ar_releases')}} r\n LEFT JOIN (\n SELECT\n info_for_id AS release_id,\n REGEXP_REPLACE(description,'(<[^>]+?>| )') AS mktg_blurb\n FROM {{ ref('base_ar_mkt_program_info')}}\n 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store_specific_highlights\n FROM {{ ref('base_ar_digital_store_highlights')}} dsh\n INNER JOIN {{ ref('base_ar_digital_stores')}} ds ON dsh.store_id = ds.id\n GROUP BY 1\n ) dsh ON r.project_id = dsh.project_id\n LEFT JOIN {{ ref('base_ar_digital_marketing_projections')}} dmp ON r.release_id = dmp.product_id\n LEFT JOIN (\n SELECT product_id, ('https://promo.theorchard.com/'||code) AS promo_link\n FROM {{ ref('base_ar_promo_player')}}\n WHERE active = 1\n ) pr ON r.release_id = pr.product_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_mkt_program_info", "model.my_new_project.base_ar_mkt_program_info", "model.my_new_project.base_ar_marketing_driver", "model.my_new_project.base_ar_mkt_program_info", "model.my_new_project.base_ar_digital_store_highlights", "model.my_new_project.base_ar_digital_stores", "model.my_new_project.base_ar_digital_marketing_projections", "model.my_new_project.base_ar_promo_player"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "base_ar_global_mkt_highlights"], "unique_id": "model.my_new_project.base_ar_global_mkt_highlights", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/base_ar_global_mkt_highlights.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/base_ar_global_mkt_highlights.sql", "name": "base_ar_global_mkt_highlights", "alias": "base_ar_global_mkt_highlights", "checksum": {"name": "sha256", "checksum": "3e98fdc0bd968827e69c53258e4e07d5415472b5d7d449b8821cf64bf4ca14d1"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_mkt_program_info"], ["base_ar_mkt_program_info"], ["base_ar_marketing_driver"], ["base_ar_mkt_program_info"], ["base_ar_digital_store_highlights"], ["base_ar_digital_stores"], ["base_ar_digital_marketing_projections"], ["base_ar_promo_player"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.3770952}, "model.my_new_project.stg_cm_tiktok_artist_data": {"raw_sql": "SELECT DISTINCT\ncma.id AS cm_artist_id,\ncma.name AS cm_artist_name,\nda.artistid AS orch_artist_id,\nda.artistname AS orch_artist_name,\nttu.user_name AS TikTok_Username,\nttus.followers AS TikTok_Followers,\nttus.likes AS TikTok_Likes,\nttus.videos AS TikTok_Videos\n\nFROM {{ ref('base_dim_artist')}} da\nLEFT JOIN {{ ref('base_dim_release')}} dr ON da.artistid = dr.artistid\nLEFT JOIN {{ ref('base_cm_cm_artist')}} cma ON UPPER(cma.name) = UPPER(da.artistname)\nLEFT JOIN {{ ref('base_cm_cm_url')}} cmu ON cmu.target_id = cma.id\nLEFT JOIN {{ ref('base_cm_tiktok_user')}} ttu ON ttu.user_name = cmu.account_id\nLEFT JOIN {{ ref('base_cm_tiktok_user_stat')}} ttus on ttus.tiktok_user = ttu.id\n\nWHERE dr.release_status = 'in_content'\nAND cm_artist_id IS NOT NULL\nAND orch_artist_name NOT ILIKE '%&%'\nAND orch_artist_name NOT ILIKE '%feat.%'\nAND orch_artist_name NOT ILIKE '%|%'\nAND orch_artist_name NOT ILIKE '%,%'\nAND TikTok_Username IS NOT NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_cm_cm_artist", "model.my_new_project.base_cm_cm_url", "model.my_new_project.base_cm_tiktok_user", "model.my_new_project.base_cm_tiktok_user_stat"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "stg_cm_tiktok_artist_data"], "unique_id": "model.my_new_project.stg_cm_tiktok_artist_data", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/stg_cm_tiktok_artist_data.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/stg_cm_tiktok_artist_data.sql", "name": "stg_cm_tiktok_artist_data", "alias": "stg_cm_tiktok_artist_data", "checksum": {"name": "sha256", "checksum": "00945ef155fa3c802c0839576061628d5b430eae8eb9a5486b84acb0ec809176"}, "tags": [], "refs": [["base_dim_artist"], ["base_dim_release"], ["base_cm_cm_artist"], ["base_cm_cm_url"], ["base_cm_tiktok_user"], ["base_cm_tiktok_user_stat"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.3806016}, "model.my_new_project.stg_cm_spotify_artist_data": {"raw_sql": "SELECT DISTINCT\ns.artist_name,\nsa.cm_artist,\nda.artistname,\nsa2.upc,\ndr.display_upc AS orch_upc,\ns.album_name,\ns.track_name,\ns.isrc,\ns.spotify_artist_id,\ns.spotify_album_id,\ns.spotify_track_id,\nsa.followers_latest,\nsa.popularity_latest\n--sas.followers,\n--sas.popularity,\n--sas.monthly_listeners\n\n\nFROM {{ ref('base_cm_spotify')}} s\nLEFT JOIN {{ ref('base_cm_spotify_artist')}} sa ON sa.spotify_artist_id = s.spotify_artist_id\nLEFT JOIN {{ ref('base_cm_spotify_album')}} sa2 ON sa2.spotify_album_id = s.spotify_album_id\nLEFT JOIN {{ ref('base_dim_release')}} dr ON dr.display_upc = sa2.upc\nLEFT JOIN {{ ref('base_dim_artist')}} da ON da.artistid = dr.artistid\n--LEFT JOIN {{ ref('base_cm_spotify_artist_stat')}} sas ON sas.id = sa.id --this join needs work and is not functioning as expected\n\nWHERE sa.followers_latest IS NOT NULL\nAND orch_upc IS NOT NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_cm_spotify", "model.my_new_project.base_cm_spotify_artist", "model.my_new_project.base_cm_spotify_album", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_cm_spotify_artist_stat"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "stg_cm_spotify_artist_data"], "unique_id": "model.my_new_project.stg_cm_spotify_artist_data", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/stg_cm_spotify_artist_data.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/stg_cm_spotify_artist_data.sql", "name": "stg_cm_spotify_artist_data", "alias": "stg_cm_spotify_artist_data", "checksum": {"name": "sha256", "checksum": "5ac95dc3c385050fc1f2272fb9cc9b5838db19aa14ab06f17d1db9d49348c60f"}, "tags": [], "refs": [["base_cm_spotify"], ["base_cm_spotify_artist"], ["base_cm_spotify_album"], ["base_dim_release"], ["base_dim_artist"], ["base_cm_spotify_artist_stat"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.384453}, "model.my_new_project.stg_keyword_pivot": {"raw_sql": "--This query organizes the relevant string of information that was extracted into a table where there is one row per upc. Listagg is neccessary to roll up into one row.\n\nSELECT DISTINCT\nCAST(mde.upc AS VARCHAR) AS upc,\nr.sale_start_date as sale_start_date,\nmde.global_mktg_highlights_agg as global_marketing_highlights,\nLISTAGG(IFF(CONTAINS('*Album/EP Street Week Focus Track:',mde.keyword),mde.keyword_string,Null),'') AS Focus_Track,\nLISTAGG(IFF(CONTAINS('*Focus Track Mood:',mde.keyword),mde.keyword_string,Null),'') AS Focus_Track_Mood,\nLISTAGG(IFF(CONTAINS('*Is The Focus Track a Cover?:',mde.keyword),mde.keyword_string,Null),'') AS Is_Focus_Track_Cover,\nLISTAGG(IFF(CONTAINS('*Artist Hometown:',mde.keyword),mde.keyword_string,Null),'') AS Artist_Hometown,\nLISTAGG(IFF(CONTAINS('*Currently Based:',mde.keyword),mde.keyword_string,Null),'') AS Currently_Based,\nLISTAGG(IFF(CONTAINS('Fans Also Like:',mde.keyword),mde.keyword_string,Null),'') AS Fans_Also_Like,\nLISTAGG(IFF(CONTAINS('Press Photo Link:',mde.keyword),mde.keyword_string,Null),'') AS Press_Photo_Link,\nLISTAGG(IFF(CONTAINS('Link to Additional Assets:',mde.keyword),mde.keyword_string,Null),'') AS Link_To_Additional_Assets,\nLISTAGG(IFF(CONTAINS('TikTok Handle:',mde.keyword),mde.keyword_string,Null),'') AS TikTok_Handle,\nLISTAGG(IFF(CONTAINS('*Release Timeline:',mde.keyword),mde.keyword_string,Null),'') AS Release_Timeline,\nLISTAGG(IFF(CONTAINS('*Artist Quotes on Project/Single:',mde.keyword),mde.keyword_string,Null),'') AS Artist_Quotes,\nLISTAGG(IFF(CONTAINS('*Album Blurb:',mde.keyword),mde.keyword_string,Null),'') AS Album_Blurb,\nLISTAGG(IFF(CONTAINS('Hired Teams (Radio/PR/Marketing/Manager/Agent/etc):',mde.keyword),mde.keyword_string,Null),'') AS Hired_Teams,\nLISTAGG(IFF(CONTAINS('Press/Publicity/Highlights:',mde.keyword),mde.keyword_string,Null),'') AS Press_Publicity_Highlights,\nLISTAGG(IFF(CONTAINS('Press Quotes:',mde.keyword),mde.keyword_string,Null),'') AS Press_Quotes,\nLISTAGG(IFF(CONTAINS('Radio Promotion:',mde.keyword),mde.keyword_string,Null),'') AS Radio_Promotion,\nLISTAGG(IFF(CONTAINS('Touring/Live:',mde.keyword),mde.keyword_string,Null),'') AS Touring_Live,\nLISTAGG(IFF(CONTAINS('Advertising Plans & Spends:',mde.keyword),mde.keyword_string,Null),'') AS Advertising_Plans,\nLISTAGG(IFF(CONTAINS('Retail Campaign Drivers:',mde.keyword),mde.keyword_string,Null),'') AS Retail_Campaign_Drivers,\nLISTAGG(IFF(CONTAINS('Digital Sales/Streaming History:',mde.keyword),mde.keyword_string,Null),'') AS Digital_Sales_Streaming_History,\nLISTAGG(IFF(CONTAINS('Physical Sales History:',mde.keyword),mde.keyword_string,Null),'') AS Physical_Sales_History\n\nFROM {{ ref('stg_marketing_data_extraction')}} mde\nINNER JOIN {{ ref('base_ar_releases')}} r on r.upc = mde.upc\nWHERE r.sale_start_date >= current_date() -7 --only pulls releases with a sales start date greater than or equal to one week ago\nGROUP BY 1,2,3", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_marketing_data_extraction", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "stg_keyword_pivot"], "unique_id": "model.my_new_project.stg_keyword_pivot", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/stg_keyword_pivot.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/stg_keyword_pivot.sql", "name": "stg_keyword_pivot", "alias": "stg_keyword_pivot", "checksum": {"name": "sha256", "checksum": "b047467fe4d99b210f2c64b6407d4275e3bf84cfd64ea2335ce0bd0f66a1ace8"}, "tags": [], "refs": [["stg_marketing_data_extraction"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.3898675}, "model.my_new_project.stg_global_marketing_highlights": {"raw_sql": "--This query pulls releases that are marked as a priority and their global marketing highlights field\n\nSELECT\n CAST(gmh.release_id AS VARCHAR) AS release_id,\n CAST(gmh.upc AS VARCHAR) AS upc,\n gmh.global_mktg_highlights AS global_mktg_highlights\n \nFROM {{ ref('base_ar_global_mkt_highlights')}} gmh\nINNER JOIN {{ ref('base_ar_mkt_priority')}} mp ON CAST(mp.upc AS VARCHAR) = CAST(gmh.upc AS VARCHAR) -- only looks at product marked as a priority", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_global_mkt_highlights", "model.my_new_project.base_ar_mkt_priority"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "stg_global_marketing_highlights"], "unique_id": "model.my_new_project.stg_global_marketing_highlights", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/stg_global_marketing_highlights.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/stg_global_marketing_highlights.sql", "name": "stg_global_marketing_highlights", "alias": "stg_global_marketing_highlights", "checksum": {"name": "sha256", "checksum": "f464f9fcd8d738ccd5fe6495ce6d266e6bd3fde169b8b4c92b9c767aabe457ba"}, "tags": [], "refs": [["base_ar_global_mkt_highlights"], ["base_ar_mkt_priority"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.39677}, "model.my_new_project.pitch_info_extraction": {"raw_sql": "--Final model output\n\n{{\nconfig(\n materialized = 'incremental',\n incremental_strategy = 'delete+insert',\n unique_key = 'UPC'\n)\n}}\n\nSELECT DISTINCT\nCAST(kp.upc AS VARCHAR) AS UPC,\nkp.sale_start_date as sale_start_date,\nkp.global_marketing_highlights AS Global_Marketing_Highlights,\nkp.focus_track AS Focus_Track,\nkp.focus_track_mood AS Focus_Track_Mood,\nkp.is_focus_track_cover AS Is_Focus_Track_Cover,\nkp.artist_hometown AS Artist_Hometown,\nkp.currently_based AS Currently_Based,\nkp.fans_also_like AS Fans_Also_Like,\nkp.press_photo_link AS Press_Photo_Link,\nkp.link_to_additional_assets AS Link_To_Additional_Assets,\nkp.tiktok_handle AS TikTok_Handle,\nkp.release_timeline AS Release_Timeline,\nkp.artist_quotes AS Artist_Quotes,\nkp.album_blurb AS Album_Blurb,\nkp.hired_teams AS Hired_Teams,\nkp.press_publicity_highlights AS Press_Publicity_Highlights,\nkp.press_quotes AS Press_Quotes,\nkp.radio_promotion AS Radio_Promotion,\nkp.touring_live AS Touring_Live,\nkp.advertising_plans AS Advertising_Plans,\nkp.retail_campaign_drivers AS Retail_Campaign_Drivers,\nkp.digital_sales_streaming_history AS Digital_Sales_History,\nkp.physical_sales_history AS Physical_Sales_History\n-- CONCAT('https://open.spotify.com/artist/',sad.spotify_artist_id) AS Spotify_Artist_Page_URL,\n-- CONCAT('https://open.spotify.com/artist/',sad.spotify_album_id) AS Spotify_Album_Page_URL,\n-- sad.followers_latest AS Spotify_Artist_Followers,\n-- sad.popularity_latest AS Spotify_Artist_Popularity,\n-- ttad.TikTok_Username AS TikTok_Username,\n-- ttad.TikTok_Followers AS TikTok_Followers,\n-- ttad.TikTok_Likes AS TikTok_Likes,\n-- ttad.TikTok_Videos AS TikTok_Videos\n\n\nFROM {{ ref('stg_keyword_pivot')}} kp", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_keyword_pivot"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "UPC", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "pitch_info_extraction"], "unique_id": "model.my_new_project.pitch_info_extraction", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/pitch_info_extraction.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/pitch_info_extraction.sql", "name": "pitch_info_extraction", "alias": "pitch_info_extraction", "checksum": {"name": "sha256", "checksum": "755982689b0d4918f6ec33938a00258dbd527156523a861a96ab4fb8ddde84f5"}, "tags": [], "refs": [["stg_keyword_pivot"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "incremental_strategy": "delete+insert", "unique_key": "UPC"}, "created_at": 1660067940.4031281}, "model.my_new_project.stg_keyword_ranking": {"raw_sql": "--This query parses the global marketing hightlights field to return relevant stats for each of the keyword that we need to extract relevant data for\n\nWITH initial_processing AS (\n\nSELECT\nCAST(sgmh.UPC AS VARCHAR) AS UPC,\nsgmh.global_mktg_highlights AS Global_Mktg_Highlights,\ngmhk.keyword AS Keyword,\nNULLIF(POSITION(UPPER(gmhk.keyword),UPPER(sgmh.global_mktg_highlights)),0) AS Keyword_Position_Start,\nROW_NUMBER() OVER(PARTITION BY UPC ORDER BY Keyword_Position_Start ASC) AS Keyword_Rank\n\nFROM {{ ref('stg_global_marketing_highlights') }} sgmh\nFULL JOIN intelligence.dev_zallard.global_marketing_highlights_keywords gmhk\n\nORDER BY Keyword_Rank ASC),\n\nsecondary_processing AS (\n\nSELECT\nCAST(sgmh.UPC AS VARCHAR) AS UPC,\nsgmh.global_mktg_highlights AS Global_Mktg_Highlights,\ngmhk.keyword AS Keyword,\nNULLIF(POSITION(UPPER(gmhk.keyword),UPPER(sgmh.global_mktg_highlights)),0) AS Keyword_Position_Start,\nROW_NUMBER() OVER(PARTITION BY UPC ORDER BY Keyword_Position_Start ASC) AS Keyword_Rank\n\nFROM {{ ref('stg_global_marketing_highlights') }} sgmh\nFULL JOIN intelligence.dev_zallard.global_marketing_highlights_keywords gmhk\n\nORDER BY Keyword_Rank ASC)\n\nSELECT DISTINCT\nCAST(ip.UPC AS VARCHAR) AS UPC,\nip.Global_Mktg_Highlights AS Global_Mktg_Highlights,\nip.Keyword AS Keyword,\nLENGTH(ip.Keyword) AS Keyword_Length,\nip.Keyword_Rank AS Kewyord_Rank,\nip.Keyword_Position_Start AS Keyword_Position_Start,\nsp.Keyword_Position_Start AS Keyword_Position_End,\nsp.Keyword_Position_Start - ip.Keyword_Position_Start AS Keyword_String_Length\n\n\n\nFROM initial_processing ip\nLEFT JOIN secondary_processing sp ON (sp.upc = ip.upc AND sp.Keyword_Rank = (ip.Keyword_Rank + 1)) --this joins the start position of the next keyword to the previous keyword in order to extract the keyword end position\nORDER BY ip.Keyword_Rank ASC", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_global_marketing_highlights", "model.my_new_project.stg_global_marketing_highlights"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "stg_keyword_ranking"], "unique_id": "model.my_new_project.stg_keyword_ranking", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/stg_keyword_ranking.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/stg_keyword_ranking.sql", "name": "stg_keyword_ranking", "alias": "stg_keyword_ranking", "checksum": {"name": "sha256", "checksum": "831dc8612ac3b98ddf8a126a91b94fef4f69b52db5fcb2ab1dabc5b001c6942f"}, "tags": [], "refs": [["stg_global_marketing_highlights"], ["stg_global_marketing_highlights"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4092538}, "model.my_new_project.stg_marketing_data_extraction": {"raw_sql": "--This query extracts the relevant string of information that appears after the keyword using the stats from the keyword ranking query\n\nSELECT DISTINCT\nCAST(gmh.UPC AS VARCHAR) AS UPC,\ngmh.global_mktg_highlights AS global_mktg_highlights_agg,\nCAST(kr.keyword AS VARCHAR) AS Keyword,\nSUBSTR(SUBSTR(global_mktg_highlights_agg, kr.Keyword_Position_Start, kr.Keyword_String_Length),kr.Keyword_Length + 2) AS Keyword_String\n\nFROM {{ ref('stg_global_marketing_highlights')}} gmh\nLEFT JOIN {{ ref('stg_keyword_ranking')}} kr ON kr.upc = gmh.upc\n\n--WHERE gmh.release_id IN ('3467482') --test release", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_global_marketing_highlights", "model.my_new_project.stg_keyword_ranking"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "pitch_info_extraction", "stg_marketing_data_extraction"], "unique_id": "model.my_new_project.stg_marketing_data_extraction", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/pitch_info_extraction/stg_marketing_data_extraction.sql", "original_file_path": "models/bi_release_management/pitch_info_extraction/stg_marketing_data_extraction.sql", "name": "stg_marketing_data_extraction", "alias": "stg_marketing_data_extraction", "checksum": {"name": "sha256", "checksum": "2797846e048e95b706167ac7bebc271a74d2389f52d9ab1305a0a489ce5112a7"}, "tags": [], "refs": [["stg_global_marketing_highlights"], ["stg_keyword_ranking"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4128475}, "model.my_new_project.late_adds": {"raw_sql": "SELECT \nil.upc AS upc,\nml.country_id,\nml.priority_country_name AS priority_country_name,\nml.marketing_priority AS marketing_priority,\n--il.ingested_late AS ingested_late,\n--ml.marked_late AS marked_late,\nCASE\n WHEN il.ingested_late = 'Yes' OR ml.marked_late = 'Yes' THEN 'Yes'\n ELSE 'No' END AS Late_Add\n--CASE\n -- WHEN il.ingested_late = 'Yes' AND ml.marked_late = 'Yes' THEN 'Ingested Late'\n --WHEN il.ingested_late = 'Yes' AND ml.marked_late = 'No' THEN 'Ingested Late'\n --WHEN il.ingested_late = 'No' AND ml.marked_late = 'Yes' THEN 'Marked Late'\n -- ELSE NULL END AS Late_Reason\nFROM {{ ref('stg_releases_ingested_late')}} il\nLEFT JOIN {{ ref('stg_releases_marked_late')}} ml ON ml.upc = il.upc\n\n--WHERE ml.priority_country_name IS NOT NULL\n\n--WHERE ingested_late = 'Yes'\n--AND marked_late = 'Yes'\n--WHERE priority_country_name = 'USA'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_releases_ingested_late", "model.my_new_project.stg_releases_marked_late"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "late_adds", "late_adds"], "unique_id": "model.my_new_project.late_adds", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/late_adds/late_adds.sql", "original_file_path": "models/bi_release_management/late_adds/late_adds.sql", "name": "late_adds", "alias": "late_adds", "checksum": {"name": "sha256", "checksum": "6495e2583bbd8a9ab5eee9ac85d6c39df53a6468db726ba0403236444807f811"}, "tags": [], "refs": [["stg_releases_ingested_late"], ["stg_releases_marked_late"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4163456}, "model.my_new_project.stg_releases_marked_late": {"raw_sql": "SELECT DISTINCT\nr.display_upc AS upc,\nr.sale_start_date AS sale_start_date,\nmp.country_id AS country_id,\ndc.countryname AS priority_country_name,\nUPPER(mp.priority) AS marketing_priority,\nCASE\n WHEN DATEDIFF(DAY,MIN(TO_DATE(mpl.update_timestamp)),r.sale_start_date) < 28 THEN 'Yes'\n ELSE 'No'\n END AS marked_late\n\nFROM {{ ref('base_ar_releases')}} r\nINNER JOIN {{ ref('base_ar_mkt_priority')}} mp ON mp.release_id = r.release_id --only currently marked priorities\nLEFT JOIN {{ ref('base_dim_country')}} dc ON dc.countryid = mp.country_id \nLEFT JOIN {{ ref('stg_mkt_priority_log')}} mpl ON mpl.release_id = mp.release_id\n\nWHERE r.release_status = 'in_content'\nAND r.deletions = 'N'\nAND mpl.action_taken = 'Add'\nAND mp.priority IS NOT NULL\nAND dc.countryname IS NOT NULL\n\nGROUP BY 1,2,3,4,5", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_mkt_priority", "model.my_new_project.base_dim_country", "model.my_new_project.stg_mkt_priority_log"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "late_adds", "stg_releases_marked_late"], "unique_id": "model.my_new_project.stg_releases_marked_late", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/late_adds/stg_releases_marked_late.sql", "original_file_path": "models/bi_release_management/late_adds/stg_releases_marked_late.sql", "name": "stg_releases_marked_late", "alias": "stg_releases_marked_late", "checksum": {"name": "sha256", "checksum": "7deb872e6b08385826769e81a2bf8907abc77549a3766621eba51af83a2c5e28"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_mkt_priority"], ["base_dim_country"], ["stg_mkt_priority_log"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4219778}, "model.my_new_project.stg_mkt_priority_log": {"raw_sql": "SELECT\nUPPER(mpl.priority) AS update_to,\nCASE mpl.log_action\n WHEN 'insert' THEN 'Add'\n WHEN 'delete' THEN 'Delete'\n WHEN 'update' THEN 'Update'\nEND AS action_taken,\nmpl.log_timestamp AS update_timestamp,\nmpl.release_id AS release_id,\ndc.countryname AS priority_country_name\n\nFROM {{ ref('base_ar_mkt_priority_log')}} mpl\nLEFT JOIN {{ ref('base_dim_country')}} dc ON dc.countryid = mpl.country_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_mkt_priority_log", "model.my_new_project.base_dim_country"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "late_adds", "stg_mkt_priority_log"], "unique_id": "model.my_new_project.stg_mkt_priority_log", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/late_adds/stg_mkt_priority_log.sql", "original_file_path": "models/bi_release_management/late_adds/stg_mkt_priority_log.sql", "name": "stg_mkt_priority_log", "alias": "stg_mkt_priority_log", "checksum": {"name": "sha256", "checksum": "75195a5d5628c996fc950bb29c91644d725df04b8a67e8dade1a5cc0bd4aadf5"}, "tags": [], "refs": [["base_ar_mkt_priority_log"], ["base_dim_country"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4258046}, "model.my_new_project.stg_releases_ingested_late": {"raw_sql": "SELECT \nr.display_upc AS upc,\nr.ingestion_completed AS ingested_date,\nr.sale_start_date AS sale_start_date,\nDATEDIFF(DAY,r.ingestion_completed,r.sale_start_date) AS Date_Diff,\nCASE\n WHEN DATEDIFF(DAY,r.ingestion_completed,r.sale_start_date) < 28 THEN 'Yes'\n ELSE 'No'\n END AS ingested_late\nFROM {{ ref('base_ar_releases')}} r\n\nWHERE r.release_status = 'in_content'\nAND r.deletions = 'N'\nAND r.ingestion_completed IS NOT NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "late_adds", "stg_releases_ingested_late"], "unique_id": "model.my_new_project.stg_releases_ingested_late", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/late_adds/stg_releases_ingested_late.sql", "original_file_path": "models/bi_release_management/late_adds/stg_releases_ingested_late.sql", "name": "stg_releases_ingested_late", "alias": "stg_releases_ingested_late", "checksum": {"name": "sha256", "checksum": "02645f41b6f7cebbe336ddbfd729026b0ee85ef73185e9e58c6ca3babcaec852"}, "tags": [], "refs": [["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4292781}, "model.my_new_project.artist_services_pm_union": {"raw_sql": "--this query unions the label level product managers with the release level product managers so we can use one PM name and filter for both labels and releases associated with their name.\n\n{{ config(materialized = 'table') }}\n\nwith label_pms as (\n select \n 'label' as pm_type,\n pmm.product_manager_id,\n pmm.vendor_id as label_id,\n r.display_upc as upc\n from {{ ref('base_ar_product_manager_mapping_vendor')}} pmm\n left join {{ ref('base_ar_artist_info')}} a on a.vendor_id = pmm.vendor_id\n left join {{ ref('base_ar_releases')}} r on r.artist_id = a.artist_id\n),\n\nrelease_pms as (\n select\n 'release' as pm_type,\n pmm.product_manager_id,\n v.vendor_id as label_id,\n r.display_upc as upc\n from {{ ref('base_ar_product_manager_mapping_product')}} pmm\n left join {{ ref('base_ar_releases')}} r on r.release_id = pmm.release_id\n left join {{ ref('base_ar_artist_info')}} a on a.artist_id = r.artist_id\n left join {{ ref('base_ar_vendor')}} v on v.vendor_id = a.vendor_id\n),\n\npm_union as (\n select *\n from label_pms\n\n union\n\n select *\n from release_pms\n)\n\nselect \nconcat(u.f_name,' ',u.l_name) as product_manager,\npmu.*\nfrom pm_union pmu\nleft join {{ ref('base_ar_orchadmin_users')}} u on u.id = pmu.product_manager_id", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_product_manager_mapping_vendor", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_product_manager_mapping_product", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_ar_vendor", "model.my_new_project.base_ar_orchadmin_users"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "artist_services_pm_union", "artist_services_pm_union"], "unique_id": "model.my_new_project.artist_services_pm_union", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/artist_services_pm_union/artist_services_pm_union.sql", "original_file_path": "models/bi_release_management/artist_services_pm_union/artist_services_pm_union.sql", "name": "artist_services_pm_union", "alias": "artist_services_pm_union", "checksum": {"name": "sha256", "checksum": "4bcded2e83f0fddeab08a2c8fee593910b627f77191f5db7aefbe38169ff070b"}, "tags": [], "refs": [["base_ar_product_manager_mapping_vendor"], ["base_ar_artist_info"], ["base_ar_releases"], ["base_ar_product_manager_mapping_product"], ["base_ar_releases"], ["base_ar_artist_info"], ["base_ar_vendor"], ["base_ar_orchadmin_users"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.4326115}, "model.my_new_project.video_product_builder": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH user_mapping AS (\n SELECT 'oa:'||id AS user_id, f_name||' '||l_name AS user_name\n FROM {{ ref('base_ar_orchadmin_users') }}\n),\nAssetsDT AS\n(SELECT\n upc,\n LISTAGG(DISTINCT asset_type_id, ',') WITHIN GROUP (ORDER BY asset_type_id DESC) AS ids\nFROM {{ ref('base_ar_dd_asset') }}\nGROUP BY 1)\nSELECT\n CASE\n WHEN r.deletions = 'Y' THEN 'Deleted'\n WHEN r.release_status = 'label_processing' THEN 'In Progress'\n WHEN r.not_for_distribution != 'N' THEN 'Completed / Delivered'\n WHEN dh.upc IS NOT NULL THEN 'Completed / Delivered'\n WHEN eqd.upc IS NOT NULL THEN 'Delivery In Progress'\n WHEN adt.ids IN('546,12,9,3','548,12,9,3') AND r.not_for_distribution = 'N' THEN 'Ready for Delivery Encoding Order'\n WHEN (\n r.release_status = 'in_content'\n AND adt.ids NOT IN('546,12,9,3','548,12,9,3')\n ) THEN 'Final Asset Creation / Ripper Transfer'\n WHEN (\n r.release_status = 'transfer_to_content'\n AND pva.content_approved = TRUE\n AND pva.final_approved_by IS NULL\n ) THEN 'Ready for Release Approval'\n WHEN (\n r.release_status = 'transfer_to_content'\n AND (pva.release_approved IS NULL OR pva.release_approved = FALSE)\n AND (pva.content_approved IS NULL OR pva.content_approved = FALSE)\n ) THEN 'Ready for Content Approval'\n ELSE 'Other' END AS report_type,\n pv.release_id,\n pv.upc,\n pv.isrc,\n pv.product_code,\n v.vendor_id AS label_id,\n IFF(v.company IS NULL OR v.company = '', v.name, v.company) AS label_name,\n oa.f_name||' '||oa.l_name AS label_manager,\n pv.imprint,\n pv.video_title,\n ai.name AS artist_name,\n pv.channel_selection,\n pv.type_of_video,\n pv.version,\n pv.new_release,\n pv.submitted_at AS submitted_date,\n pv.release_date,\n pv.original_release_date,\n pv.parental_advisory,\n pv.language_of_video_title,\n pv.language_of_video_content,\n pv.c_line_year ||' '|| pv.c_line_copyright_holder AS c_line,\n pv.p_line_year ||' '|| pv.p_line_copyright_holder AS p_line,\n r.not_for_distribution,\n r.genre_id,\n IFF(r.release_status = 'in_content',\n 'https://oa.theorchard.com/cont_mgmt/view_release.php?upc='||r.upc,\n 'https://oa.theorchard.com/cont_mgmt/edit_ex_release.php?release_id='||pv.release_id\n ) AS product_link,\n pv.special_instructions,\n CASE r.release_status\n WHEN 'in_content' THEN 'Completed'\n WHEN 'transfer_to_content' THEN 'Submitted / In Review'\n WHEN 'label_processing' THEN 'In Progress'\n ELSE '' END AS release_status,\n user1.user_name AS content_approved_by,\n pva.content_approved_at,\n user2.user_name AS product_approved_by,\n pva.release_approved_at AS product_approved_at,\n user3.user_name AS final_approval_by,\n pva.final_approved_at\nFROM {{ ref('base_ar_product_video') }} pv\n LEFT JOIN {{ ref('base_ar_product_video_approval') }} pva ON pv.release_id = pva.release_id\n INNER JOIN {{ ref('base_ar_releases') }} r ON pv.release_id = r.release_id\n left join AssetsDT adt on r.upc = adt.upc\n LEFT JOIN (\n SELECT DISTINCT upc FROM {{ ref('base_ar_dd_encoding_queue_detail') }}\n ) eqd ON r.upc = eqd.upc\n LEFT JOIN (\n SELECT DISTINCT upc FROM {{ ref('base_ar_delivery_history') }} WHERE customer_master_master_id != 694\n ) dh ON r.upc = dh.upc\n INNER JOIN {{ ref('base_ar_artist_info') }} ai ON r.artist_id = ai.artist_id\n INNER JOIN {{ ref('base_art_relations_vendor') }} v ON ai.vendor_id = v.vendor_id\n LEFT JOIN {{ ref('base_ar_orchadmin_users') }} oa ON v.assigned_to = oa.id\n LEFT JOIN user_mapping user1 ON pva.content_approved_by = user1.user_id\n LEFT JOIN user_mapping user2 ON pva.release_approved_by = user2.user_id\n LEFT JOIN user_mapping user3 ON pva.final_approved_by = user3.user_id\nWHERE v.vendor_id NOT IN (16157, 25824, 16156, 7123, 16159)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_orchadmin_users", "model.my_new_project.base_ar_dd_asset", "model.my_new_project.base_ar_product_video", "model.my_new_project.base_ar_product_video_approval", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_dd_encoding_queue_detail", "model.my_new_project.base_ar_delivery_history", "model.my_new_project.base_ar_artist_info", "model.my_new_project.base_art_relations_vendor", "model.my_new_project.base_ar_orchadmin_users"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_release_management", "video_product_builder", "video_product_builder"], "unique_id": "model.my_new_project.video_product_builder", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_release_management/video_product_builder/video_product_builder.sql", "original_file_path": "models/bi_release_management/video_product_builder/video_product_builder.sql", "name": "video_product_builder", "alias": "video_product_builder", "checksum": {"name": "sha256", "checksum": "60360ca16b9251778bd9600619fc0181b43975c2cd98befdb6bb1693f3a692e6"}, "tags": [], "refs": [["base_ar_orchadmin_users"], ["base_ar_dd_asset"], ["base_ar_product_video"], ["base_ar_product_video_approval"], ["base_ar_releases"], ["base_ar_dd_encoding_queue_detail"], ["base_ar_delivery_history"], ["base_ar_artist_info"], ["base_art_relations_vendor"], ["base_ar_orchadmin_users"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.436906}, "model.my_new_project.stg_agg_latest_release_stats": {"raw_sql": "SELECT\n lrts.Label_ID AS Label_ID,\n lrts.Label_Name AS Label_Name,\n lrts.Artist_ID AS Artist_ID,\n lrts.Artist_Name AS Artist_Name,\n lrts.Country_ID AS Country_ID,\n LISTAGG(DISTINCT lrts.Release_Name, '; ') WITHIN GROUP (ORDER BY lrts.Release_Name) AS Releases,\n LISTAGG(DISTINCT lrts.Format, '; ') WITHIN GROUP (ORDER BY lrts.Format) AS Formats,\n LISTAGG(DISTINCT lrts.Months_Since_Release, '; ') WITHIN GROUP (ORDER BY lrts.Months_Since_Release) AS Months_Since_Release,\n COUNT(DISTINCT lrts.Track_Name) AS Track_Count,\n SUM(DISTINCT lrts.First_Week_Release_Units) AS First_Week_Release_Units,\n SUM(DISTINCT lrts.First_Week_Release_Units) / COUNT(DISTINCT lrts.Track_Name) AS Avg_Track_Units,\n SUM(\"'iTunes/Apple S'\") AS iTunes_S,\n iTunes_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS iTunes_S_ratio,\n SUM(\"'iTunes/Apple DA'\") AS iTunes_DA,\n iTunes_DA / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS iTunes_DA_ratio,\n SUM(\"'iTunes/Apple DT'\") AS iTunes_DT,\n iTunes_DT / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS iTunes_DT_ratio,\n SUM(\"'iTunes/Apple DV'\") AS iTunes_DV,\n iTunes_DV / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS iTunes_DV_ratio,\n SUM(\"'iTunes/Apple SV'\") AS iTunes_SV,\n iTunes_SV / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS iTunes_SV_ratio,\n SUM(\"'Spotify S'\") AS Spotify_S,\n Spotify_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Spotify_S_ratio,\n SUM(\"'Spotify AS'\") AS Spotify_AS,\n Spotify_AS / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Spotify_AS_ratio,\n SUM(\"'Pandora MT'\") AS Pandora_MT,\n Pandora_MT / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Pandora_MT_ratio,\n SUM(\"'Pandora S'\") AS Pandora_S,\n Pandora_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Pandora_S_ratio,\n SUM(\"'Napster S'\") AS Napster_S,\n Napster_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Napster_S_ratio,\n SUM(\"'Google Play S'\") AS Google_Play_S,\n Google_Play_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Google_Play_S_ratio,\n SUM(\"'Google Play DA'\") AS Google_Play_DA,\n Google_Play_DA / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Google_Play_DA_ratio,\n SUM(\"'Google Play DT'\") AS Google_Play_DT,\n Google_Play_DT / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Google_Play_DT_ratio,\n SUM(\"'Deezer AS'\") AS Deezer_AS,\n Deezer_AS / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Deezer_AS_ratio,\n SUM(\"'Deezer S'\") AS Deezer_S,\n Deezer_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Deezer_S_ratio,\n SUM(\"'Amazon Music AS'\") AS Amazon_AS,\n Amazon_AS / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Amazon_AS_ratio,\n SUM(\"'Amazon Music MT'\") AS Amazon_MT,\n Amazon_MT / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Amazon_MT_ratio,\n SUM(\"'Amazon Music S'\") AS Amazon_S,\n Amazon_S / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Amazon_S_ratio,\n SUM(\"'Amazon Music DA'\") AS Amazon_DA,\n Amazon_DA / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Amazon_DA_ratio,\n SUM(\"'Amazon Music DT'\") AS Amazon_DT,\n Amazon_DT / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS Amazon_DT_ratio,\n SUM(\"'YouTube AEA'\") AS YouTube_AEA,\n YouTube_AEA / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS YouTube_AEA_ratio,\n SUM(\"'YouTube AEV'\") AS YouTube_AEV,\n YouTube_AEV / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS YouTube_AEV_ratio,\n SUM(\"'YouTube VU'\") AS YouTube_VU,\n YouTube_VU / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS YouTube_VU_ratio,\n SUM(\"'YouTube US'\") AS YouTube_US,\n YouTube_US / NULLIFZERO(SUM(DISTINCT lrts.First_Week_Release_Units)) AS YouTube_US_ratio\nFROM {{ ref('stg_agg_latest_release_track_stats') }} lrts\nGROUP BY 1,2,3,4,5", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_agg_latest_release_track_stats"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_agg_latest_release_stats"], "unique_id": "model.my_new_project.stg_agg_latest_release_stats", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_agg_latest_release_stats.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_agg_latest_release_stats.sql", "name": "stg_agg_latest_release_stats", "alias": "stg_agg_latest_release_stats", "checksum": {"name": "sha256", "checksum": "afbc8a9bf07acae404729fe46a98797ba798753539e2fab05be1cd62d99f0c02"}, "tags": [], "refs": [["stg_agg_latest_release_track_stats"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4489431}, "model.my_new_project.stg_physical_forecasts": {"raw_sql": "-- Pull Sum of Cumulative Ships by release which will count as the US physical forecast\n\nWITH total_ships AS (SELECT\n rg.Release_ID AS Release_ID,\n SUM(us.\"CumTDS#\") AS Total_Ships\nFROM {{ ref('base_si_us_physical_retail_view') }} us\nINNER JOIN {{ ref('base_ar_release_grid') }} rg ON us.gras_prod_no = rg.product_no\nGROUP BY 1)\n\nSELECT\n cdsp.in_store_dt AS In_Store_Date,\n r.release_name AS Release_Name,\n ai.name AS Artist_Name,\n SUM(ts.Total_Ships) * 0.6 AS US_Physical\nFROM {{ ref('base_si_cdsus_product') }} cdsp\nINNER JOIN {{ ref('base_ar_releases') }} r ON r.display_upc=cdsp.upc_cd\nINNER JOIN {{ ref('base_ar_artist_info') }} ai ON ai.artist_id=r.artist_id\nLEFT JOIN Total_Ships ts ON ts.release_id = r.release_id\nWHERE \nIn_Store_Date >= current_date\nGROUP BY 1,2,3", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_si_us_physical_retail_view", "model.my_new_project.base_ar_release_grid", "model.my_new_project.base_si_cdsus_product", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_artist_info"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_physical_forecasts"], "unique_id": "model.my_new_project.stg_physical_forecasts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_physical_forecasts.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_physical_forecasts.sql", "name": "stg_physical_forecasts", "alias": "stg_physical_forecasts", "checksum": {"name": "sha256", "checksum": "0693eb17d57a6bd1d19787b10e02a5fff603b2bb36a5ed4e401187b50fb7ca22"}, "tags": [], "refs": [["base_si_us_physical_retail_view"], ["base_ar_release_grid"], ["base_si_cdsus_product"], ["base_ar_releases"], ["base_ar_artist_info"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.452616}, "model.my_new_project.stg_spotify_singles": {"raw_sql": "SELECT\n upc\nFROM {{ ref('base_ar_releases') }}\nWHERE format='Single'\nAND upc IN (SELECT upc FROM {{ ref('base_ar_delivery_history') }} WHERE customer_master_master_id = 286)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_delivery_history"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_spotify_singles"], "unique_id": "model.my_new_project.stg_spotify_singles", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_spotify_singles.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_spotify_singles.sql", "name": "stg_spotify_singles", "alias": "stg_spotify_singles", "checksum": {"name": "sha256", "checksum": "a67d825189fcb9abc649848d0399aad802477a831c3bef7db1db718217673d8b"}, "tags": [], "refs": [["base_ar_releases"], ["base_ar_delivery_history"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.455986}, "model.my_new_project.stg_digital_forecast_prep": {"raw_sql": "-- Joining release schedule metadata with its correposnding latest release stats\n\nSELECT\nrs.Release_Date AS Release_Date,\nrs.Preorder_Date AS Preorder_Date,\nrs.Artist_Name AS Artist_Name,\nrs.Release_Name AS Release_Name,\nrs.upc AS UPC,\nrs.Format AS Format,\nrs.Genre AS Genre,\nrs.Label_Name AS Label_Name,\nrs.Label_Manager AS Label_Manager,\nrs.Sales_Start_Date AS Sales_Start_Date,\nrs.Country_ID as Country_ID,\nrs.Release_Priority AS Release_Priority,\nrs.Track_Count AS Track_Count,\nlrs.Releases AS Latest_Release,\nlrs.Formats AS Latest_Release_Formats,\nlrs.Months_Since_Release AS Latest_Release_Age_Months,\nlrs.Track_Count AS Latest_Release_Track_Count,\nlrs.First_Week_Release_Units AS Latest_Release_First_Week_Units,\nlrs.Avg_Track_Units AS Latest_Release_Avg_Track_Units,\nlrs.iTunes_S AS iTunes_S,\nlrs.iTunes_S_Ratio AS iTunes_S_Ratio,\nlrs.iTunes_DA AS iTunes_DA,\nlrs.iTunes_DA_Ratio AS iTunes_DA_Ratio,\nlrs.iTunes_DT AS iTunes_DT,\nlrs.iTunes_DT_Ratio AS iTunes_DT_Ratio,\nlrs.iTunes_DV AS iTunes_DV,\nlrs.iTunes_DV_Ratio AS iTunes_DV_Ratio,\nlrs.iTunes_SV AS iTunes_SV,\nlrs.iTunes_SV_Ratio AS iTunes_SV_Ratio,\nlrs.Spotify_S AS Spotify_S,\nlrs.Spotify_S_Ratio AS Spotify_S_Ratio,\nlrs.Spotify_AS AS Spotify_AS, \nlrs.Spotify_AS_Ratio AS Spotify_AS_Ratio,\nlrs.Pandora_MT AS Pandora_MT,\nlrs.Pandora_MT_Ratio AS Pandora_MT_Ratio,\nlrs.Pandora_S AS Pandora_S,\nlrs.Pandora_S_Ratio AS Pandora_S_Ratio,\nlrs.Napster_S AS Napster_S,\nlrs.Napster_S_Ratio AS Napster_S_Ratio,\nlrs.Google_Play_S AS Google_Play_S,\nlrs.Google_Play_S_Ratio AS Google_Play_S_Ratio,\nlrs.Google_Play_DA AS Google_Play_DA,\nlrs.Google_Play_DA_Ratio AS Google_Play_DA_Ratio,\nlrs.Google_Play_DT AS Google_Play_DT,\nlrs.Google_Play_DT_Ratio AS Google_Play_DT_Ratio,\nlrs.Deezer_AS AS Deezer_AS,\nlrs.Deezer_AS_Ratio AS Deezer_AS_Ratio,\nlrs.Deezer_S AS Deezer_S,\nlrs.Deezer_S_Ratio AS Deezer_S_Ratio,\nlrs.Amazon_AS AS Amazon_AS,\nlrs.Amazon_AS_Ratio AS Amazon_AS_Ratio,\nlrs.Amazon_MT AS Amazon_MT,\nlrs.Amazon_MT_Ratio AS Amazon_MT_Ratio,\nlrs.Amazon_S AS Amazon_S,\nlrs.Amazon_S_Ratio AS Amazon_S_Ratio,\nlrs.Amazon_DA AS Amazon_DA,\nlrs.Amazon_DA_Ratio AS Amazon_DA_Ratio,\nlrs.Amazon_DT AS Amazon_DT,\nlrs.Amazon_DT_Ratio AS Amazon_DT_Ratio,\nlrs.YouTube_AEA AS YouTube_AEA,\nlrs.YouTube_AEA_Ratio AS YouTube_AEA_Ratio,\nlrs.YouTube_AEV AS YouTube_AEV,\nlrs.YouTube_AEV_Ratio AS YouTube_AEV_Ratio,\nlrs.YouTUbe_VU AS YouTube_VU,\nlrs.YouTUbe_VU_Ratio AS YouTube_VU_Ratio,\nlrs.YouTube_US AS YouTube_US,\nlrs.YouTube_US_Ratio AS YouTube_US_Ratio\n\nFROM {{ ref('stg_release_schedule') }} rs\nLEFT JOIN {{ ref('stg_agg_latest_release_stats') }} lrs \nON rs.Artist_Name = lrs.Artist_Name\nAND rs.Country_ID = lrs.Country_ID", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_release_schedule", "model.my_new_project.stg_agg_latest_release_stats"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_digital_forecast_prep"], "unique_id": "model.my_new_project.stg_digital_forecast_prep", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_digital_forecast_prep.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_digital_forecast_prep.sql", "name": "stg_digital_forecast_prep", "alias": "stg_digital_forecast_prep", "checksum": {"name": "sha256", "checksum": "2b6fa926b8c0ed00a3fd36a47af83b7d83fb3cc97cc6dbc21c9db1e530da43b3"}, "tags": [], "refs": [["stg_release_schedule"], ["stg_agg_latest_release_stats"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.458899}, "model.my_new_project.stg_release_schedule": {"raw_sql": "--Retrieves the upcomming release schedule that we need forecasts for\n\nSELECT\n m.release_date AS Release_Date,\n m.preorder_date AS Preorder_Date,\n m.artist_name AS Artist_Name,\n m.release_name AS Release_Name,\n m.upc AS UPC,\n m.format AS Format,\n m.genre AS Genre,\n m.label_name AS Label_Name,\n m.label_manager AS Label_Manager,\n m.sale_start_date AS Sales_Start_Date,\n p.country_id as Country_ID,\n UPPER(p.priority) AS Release_Priority,\n CASE \n WHEN m.format = 'Single'\n AND m.release_name NOT LIKE '%/%'\n AND COUNT(DISTINCT m.tuid) > 1\n THEN 1 \n ELSE COUNT(DISTINCT m.tuid) END as Track_Count -- This reduces the number of tracks for waterfall products from X to 1 so that we only forecast the new single.\n\nFROM {{ ref('metadata_simplified') }} m\nINNER JOIN {{ ref('base_mkt_priority') }} p ON m.release_id=p.release_id\n\nWHERE m.release_status='in_content'\nAND m.deletions='N'\nAND m.not_for_distribution IN ('N', 'SwitchboardDummy') --Includes Switchboard Dummies\nAND m.product_type_id IN (1,5) -- Filters for 'Music' products types\nAND m.format IN ('Full Length', 'EP', 'Single')\nAND p.country_id IN (1,3) -- Filters to only US and UK Priorities\nAND p.priority IN ('a','b')\nAND m.release_date >= CURRENT_DATE() -- Filter for all products with a release date of today or later (i.e future)\n\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12\nORDER BY m.sale_start_date ASC", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.metadata_simplified", "model.my_new_project.base_mkt_priority"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_release_schedule"], "unique_id": "model.my_new_project.stg_release_schedule", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_release_schedule.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_release_schedule.sql", "name": "stg_release_schedule", "alias": "stg_release_schedule", "checksum": {"name": "sha256", "checksum": "b5e3a51a45d2343c0fd53d00c905fc12132711848a12869a199478f7b2fade02"}, "tags": [], "refs": [["metadata_simplified"], ["base_mkt_priority"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.463127}, "model.my_new_project.stg_digital_forecast_processing": {"raw_sql": "-- Scale streaming and downloads based on multipliers for formats to account for over/under indexing on singles/full lengths\n\nWITH multipliers AS (SELECT 3 AS download, 0.8 AS streaming),\n\npre_scaling AS (\nSELECT\n dfp.Release_Date AS Release_Date,\n dfp.Preorder_Date AS Preorder_Date,\n dfp.Artist_Name AS Artist_Name,\n dfp.Release_Name AS Release_Name,\n dfp.UPC AS UPC,\n dfp.Format AS Format,\n dfp.Genre AS Genre,\n dfp.Label_Name AS Label_Name,\n dfp.Label_Manager AS Label_Manager,\n dfp.Country_ID AS Country_ID,\n dfp.Release_Priority AS Release_Priority,\n dfp.Sales_Start_Date AS Sales_Start_Date,\n dfp.Track_Count AS Track_Count,\n dfp.Latest_Release_Avg_Track_Units * dfp.Track_Count AS Track_Scaling,\n -- Apple Music forecast\n ZEROIFNULL((Track_Scaling) * dfp.iTunes_S_Ratio) AS Apple_Music_S_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.iTunes_SV_Ratio) AS Apple_Music_SV_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.iTunes_DT_Ratio) AS iTunes_DT_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.iTunes_DA_Ratio) AS iTunes_DA_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.iTunes_DV_Ratio) AS iTunes_DV_Forecast,\n -- Spotify forecast\n ZEROIFNULL((Track_Scaling) * dfp.Spotify_S_Ratio) AS Spotify_S_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Spotify_AS_Ratio) AS Spotify_AS_Forecast,\n -- Amazon forecast\n ZEROIFNULL((Track_Scaling) * dfp.Amazon_S_Ratio) AS Amazon_S_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Amazon_AS_Ratio) AS Amazon_AS_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Amazon_MT_Ratio) AS Amazon_MT_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Amazon_DA_Ratio) AS Amazon_DA_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Amazon_DT_Ratio) AS Amazon_DT_Forecast,\n -- Pandora forecast\n ZEROIFNULL((Track_Scaling) * dfp.Pandora_S_Ratio) AS Pandora_S_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Pandora_MT_Ratio) AS Pandora_MT_Forecast,\n -- Deezer forecast\n ZEROIFNULL((Track_Scaling) * dfp.Deezer_S_Ratio) AS Deezer_S_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Deezer_AS_Ratio) AS Deezer_AS_Forecast,\n -- Google Play forecast\n ZEROIFNULL((Track_Scaling) * dfp.Google_Play_S_Ratio) AS Google_Play_S_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Google_Play_DA_Ratio) AS Google_Play_DA_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.Google_Play_DT_Ratio) AS Google_Play_DT_Forecast,\n -- Napster forecast\n ZEROIFNULL((Track_Scaling) * dfp.Napster_S_Ratio) AS Napster_S_Forecast,\n -- YouTube forecast\n ZEROIFNULL((Track_Scaling) * dfp.YouTube_US_Ratio) AS YouTube_US_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.YouTube_VU_Ratio) AS YouTube_VU_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.YouTube_AEA_Ratio) AS YouTube_AEA_Forecast,\n ZEROIFNULL((Track_Scaling) * dfp.YouTube_AEV_Ratio) AS YouTube_AEV_Forecast\nFROM {{ ref('stg_digital_forecast_prep') }} dfp \n)\n\nSELECT\n ps.Release_Date AS Release_Date,\n ps.Preorder_Date AS Preorder_Date,\n ps.Artist_Name AS Artist_Name,\n ps.Release_Name AS Release_Name,\n ps.UPC AS UPC,\n ps.Format AS Format,\n ps.Genre AS Genre,\n ps.Label_Name AS Label_Name,\n ps.Label_Manager AS Label_Manager,\n ps.Country_ID AS Country_ID,\n ps.Release_Priority AS Release_Priority,\n ps.Sales_Start_Date AS Sales_Start_Date,\n ps.Track_Count AS Track_Count,\n -- Apple Music forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Apple_Music_S_Forecast * (SELECT streaming FROM multipliers), ps.Apple_Music_S_Forecast) AS Apple_Music_S_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Apple_Music_SV_Forecast * (SELECT streaming FROM multipliers), ps.Apple_Music_SV_Forecast) AS Apple_Music_SV_Forecast,\n IFF(format IN ('Full Length','EP'),ps.iTunes_DT_Forecast * (SELECT download FROM multipliers), ps.iTunes_DT_Forecast) AS iTunes_DT_Forecast,\n IFF(format IN ('Full Length','EP'),ps.iTunes_DA_Forecast * (SELECT download FROM multipliers), ps.iTunes_DA_Forecast) AS iTunes_DA_Forecast,\n IFF(format IN ('Full Length','EP'),ps.iTunes_DV_Forecast * (SELECT download FROM multipliers), ps.iTunes_DV_Forecast) AS iTunes_DV_Forecast,\n -- Spotify forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Spotify_S_Forecast * (SELECT streaming FROM multipliers), ps.Spotify_S_Forecast) AS Spotify_S_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Spotify_AS_Forecast * (SELECT streaming FROM multipliers), ps.Spotify_AS_Forecast) AS Spotify_AS_Forecast,\n -- Amazon forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Amazon_S_Forecast * (SELECT streaming FROM multipliers), ps.Amazon_S_Forecast) AS Amazon_S_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Amazon_AS_Forecast * (SELECT streaming FROM multipliers), ps.Amazon_AS_Forecast) AS Amazon_AS_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Amazon_MT_Forecast * (SELECT streaming FROM multipliers), ps.Amazon_MT_Forecast) AS Amazon_MT_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Amazon_DA_Forecast * (SELECT download FROM multipliers), ps.Amazon_DA_Forecast) AS Amazon_DA_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Amazon_DT_Forecast * (SELECT download FROM multipliers), ps.Amazon_DT_Forecast) AS Amazon_DT_Forecast,\n -- Pandora forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Pandora_S_Forecast * (SELECT streaming FROM multipliers), ps.Pandora_S_Forecast) AS Pandora_S_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Pandora_MT_Forecast * (SELECT streaming FROM multipliers), ps.Pandora_MT_Forecast) AS Pandora_MT_Forecast,\n -- Deezer forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Deezer_S_Forecast * (SELECT streaming FROM multipliers), ps.Deezer_S_Forecast) AS Deezer_S_Forecast,\n IFF(format IN ('Full Length','EP'),ps.Deezer_AS_Forecast * (SELECT streaming FROM multipliers), ps.Deezer_AS_Forecast) AS Deezer_AS_Forecast,\n -- Google Play forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Google_Play_S_Forecast * (SELECT streaming FROM multipliers), ps.Google_Play_S_Forecast) AS Google_Play_S_forecast,\n IFF(format IN ('Full Length','EP'),ps.Google_Play_DA_Forecast * (SELECT download FROM multipliers), ps.Google_Play_DA_Forecast) AS Google_Play_DA_forecast,\n IFF(format IN ('Full Length','EP'),ps.Google_Play_DT_Forecast * (SELECT download FROM multipliers), ps.Google_Play_DT_Forecast) AS Google_Play_DT_forecast,\n -- Napster forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.Napster_S_Forecast * (SELECT streaming FROM multipliers), ps.Napster_S_Forecast) AS Napster_S_Forecast,\n -- YouTube forecast w/ scaling\n IFF(format IN ('Full Length','EP'),ps.YouTube_US_Forecast * (SELECT streaming FROM multipliers), ps.YouTube_US_Forecast) AS YouTube_US_Forecast,\n IFF(format IN ('Full Length','EP'),ps.YouTube_VU_Forecast * (SELECT streaming FROM multipliers), ps.YouTube_VU_Forecast) AS YouTube_VU_Forecast,\n IFF(format IN ('Full Length','EP'),ps.YouTube_AEA_Forecast * (SELECT streaming FROM multipliers), ps.YouTube_AEA_Forecast) AS YouTube_AEA_Forecast,\n IFF(format IN ('Full Length','EP'),ps.YouTube_AEV_Forecast * (SELECT streaming FROM multipliers), ps.YouTube_AEV_Forecast) AS YouTube_AEV_Forecast\nFROM pre_scaling ps", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_digital_forecast_prep"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_digital_forecast_processing"], "unique_id": "model.my_new_project.stg_digital_forecast_processing", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_digital_forecast_processing.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_digital_forecast_processing.sql", "name": "stg_digital_forecast_processing", "alias": "stg_digital_forecast_processing", "checksum": {"name": "sha256", "checksum": "5edef6d1aedf9f0c9f9b83ed1647327f442318f65a3766f20d4cb4ab6ca1ebd7"}, "tags": [], "refs": [["stg_digital_forecast_prep"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.469043}, "model.my_new_project.stg_agg_latest_release_track_stats": {"raw_sql": "--Join total latest release units with track units and latest release metadata\n\nWITH release_units_to_release_histrory_metadata AS (\nSELECT DISTINCT\n rh.Label_ID AS Label_ID,\n rh.Label_Name AS Label_Name,\n rh.Artist_ID AS Artist_ID,\n rh.Artist_Name AS Artist_Name,\n rh.Release_Name AS Release_Name,\n rh.Release_ID AS Release_ID,\n rh.Release_Date AS Release_Date,\n rh.Sales_Start_Date AS Sales_Start_Date,\n rh.Format AS Format,\n rh.Track_Name AS Track_Name,\n rh.Track_Count AS Track_Count,\n MIN(rh.Months_Since_Release) AS Months_Since_Release,\n lru.Country_ID AS Country_ID,\n lru.First_Week_Release_Units AS First_Week_Release_Units\n\nFROM {{ ref('stg_latest_release') }} rh\nLEFT JOIN {{ ref('stg_latest_release_units') }} lru ON lru.Release_ID = rh.Release_ID\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,13,14\n),\n\npost_preprocessing AS (\n SELECT DISTINCT\n m.Label_ID AS Label_ID,\n m.Label_Name AS Label_Name,\n m.Artist_ID AS Artist_ID,\n m.Artist_Name AS Artist_Name,\n m.Release_Name AS Release_Name,\n m.Release_ID AS Release_ID,\n m.Country_ID AS Country_ID,\n m.Format AS Format,\n MIN(m.Months_Since_Release) AS Months_Since_Release,\n m.Track_Name AS Track_Name,\n m.First_Week_Release_Units AS First_Week_Release_Units,\n m.Track_Count AS Track_Count\n FROM release_units_to_release_histrory_metadata m\n GROUP BY 1,2,3,4,5,6,7,8,10,11,12\n )\n\nSELECT\n*\nFROM post_preprocessing p\nLEFT JOIN {{ ref('stg_latest_release_track_units_pivot') }} tup ON p.Track_Name = tup.Track_Title\nAND p.Country_ID = tup.CountryID\nAND p.Release_ID = tup.UPC\n\nWHERE p.Country_ID IS NOT NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_latest_release", "model.my_new_project.stg_latest_release_units", "model.my_new_project.stg_latest_release_track_units_pivot"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_agg_latest_release_track_stats"], "unique_id": "model.my_new_project.stg_agg_latest_release_track_stats", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_agg_latest_release_track_stats.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_agg_latest_release_track_stats.sql", "name": "stg_agg_latest_release_track_stats", "alias": "stg_agg_latest_release_track_stats", "checksum": {"name": "sha256", "checksum": "d84cf485f333897459ae13b1937319f54a4e759f8ab8eb0ae35a28054ee61624"}, "tags": [], "refs": [["stg_latest_release"], ["stg_latest_release_units"], ["stg_latest_release_track_units_pivot"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4745092}, "model.my_new_project.stg_digital_forecasts": {"raw_sql": "WITH download_multiplier AS (SELECT 0.1 AS full_length), -- divide downloads by 10 if its a full length\n\nstg AS (SELECT\n dfp.Format || '-' || dfp.Artist_Name || '-' || UPPER(dfp.Release_Name) || '-' || dfp.Country_ID AS PKEY, --updated pkey to exclude release date and include format\n dfp.Release_Date AS Release_Date,\n dfp.Preorder_Date AS Preorder_Date,\n dfp.Artist_Name AS Artist_Name,\n dfp.Release_Name AS Release_Name,\n dfp.UPC AS UPC,\n dfp.Format AS Format,\n dfp.Genre AS Genre,\n dfp.Label_Name AS Label_Name,\n dfp.Label_Manager AS Label_Manager,\n dfp.Country_ID AS Country_ID,\n dfp.Release_Priority AS Release_Priority,\n dfp.Sales_Start_Date AS Sales_Start_Date,\n dfp.Track_Count AS Track_Count,\n la.late_add AS Late_Add, --added late add flag to forecasting model\n -- Apple Music forecast\n (dfp.Apple_Music_S_Forecast + dfp.Apple_Music_SV_Forecast) AS Apple_Music_Streaming_Forecast,\n (dfp.iTunes_DA_Forecast + dfp.iTunes_DT_Forecast + dfp.iTunes_DV_Forecast) * (IFF(dfp.Format IN ('Full Length','EP'), (SELECT full_length FROM download_multiplier), 1.0)) AS iTunes_Download_Forecast,\n -- Spotify forecast\n dfp.Spotify_S_Forecast + dfp.Spotify_AS_Forecast AS Spotify_Streaming_Forecast,\n -- Amazon forecast\n dfp.Amazon_S_Forecast + dfp.Amazon_MT_Forecast + dfp.Amazon_AS_Forecast AS Amazon_Streaming_Forecast,\n (dfp.Amazon_DA_Forecast + dfp.Amazon_DT_Forecast) * (IFF(dfp.Format IN ('Full Length','EP'), (SELECT full_length FROM download_multiplier), 1.0)) AS Amazon_Download_Forecast,\n -- Pandora forecast\n dfp.Pandora_S_Forecast + dfp.Pandora_MT_Forecast AS Pandora_Streaming_Forecast,\n -- Deezer forecast\n dfp.Deezer_S_Forecast + dfp.Deezer_AS_Forecast AS Deezer_Streaming_Forecast,\n -- Google Play forecast\n dfp.Google_Play_S_Forecast AS Google_Play_Streaming_Forecast,\n (dfp.Google_Play_DA_Forecast + dfp.Google_Play_DT_Forecast) * (IFF(dfp.Format IN ('Full Length','EP'), (SELECT full_length FROM download_multiplier), 1.0))AS Google_Play_Download_Forecast,\n -- Napster forecast\n dfp.Napster_S_Forecast AS Napster_Streaming_Forecast,\n -- YouTube forecast\n dfp.YouTube_US_Forecast + dfp.YouTube_VU_Forecast + dfp.YouTube_AEA_Forecast + dfp.YouTube_AEV_Forecast AS YouTube_Streaming_Forecast,\n -- Premium Streaming\n (dfp.Apple_Music_S_Forecast + dfp.Apple_Music_SV_Forecast + dfp.Spotify_S_Forecast +\n dfp.Amazon_S_Forecast + dfp.Amazon_MT_Forecast + dfp.Pandora_S_Forecast + dfp.Deezer_S_Forecast +\n dfp.YouTube_US_Forecast + dfp.YouTube_VU_Forecast +\n dfp.Google_Play_S_Forecast + dfp.Napster_S_Forecast) AS Premium_Streaming,\n -- Ad-Supported Streaming\n (dfp.Spotify_AS_Forecast + dfp.Amazon_AS_Forecast + dfp.Deezer_AS_Forecast + dfp.Pandora_MT_Forecast\n + dfp.YouTube_AEA_Forecast + dfp.YouTube_AEV_Forecast) AS Ad_Supported_Streaming,\n -- Total Streaming\n Premium_Streaming + Ad_Supported_Streaming AS Streaming_Total,\n -- Downloads\n iTunes_Download_Forecast + Amazon_Download_Forecast + Google_Play_Download_Forecast AS Downloads_Total,\n -- Consumption forecast\n (Premium_Streaming / IFF(format='Single', 125, 1250)) + (ad_supported_streaming / IFF(format='Single',375, 3750)) + Downloads_Total AS Digital_Consumption_Units\nFROM {{ ref('stg_digital_forecast_processing') }} dfp\nLEFT JOIN {{ ref('late_adds')}} la ON la.upc = dfp.upc AND dfp.country_id = la.country_id), --joined late add model\n\nrank AS (\n SELECT\n *,\n ROW_NUMBER() OVER (PARTITION BY Release_Date, Artist_Name, Release_Name, Format, Country_ID ORDER BY Digital_Consumption_Units DESC) AS Row_Number\n FROM stg\n)\n\nSELECT DISTINCT\n PKEY,\n Release_Date,\n Preorder_Date,\n Artist_Name,\n Release_Name,\n LISTAGG(UPC, ', ') AS UPCs,\n Format,\n Genre,\n Label_Name,\n Label_Manager,\n Country_ID,\n Release_Priority,\n Sales_Start_Date,\n Track_Count,\n Late_Add, -- added late add flag\n Apple_Music_Streaming_Forecast,\n iTunes_Download_Forecast,\n Spotify_Streaming_Forecast,\n Amazon_Streaming_Forecast,\n Amazon_Download_Forecast,\n Pandora_Streaming_Forecast,\n Deezer_Streaming_Forecast,\n Google_Play_Streaming_Forecast,\n Google_Play_Download_Forecast,\n Napster_Streaming_Forecast,\n YouTube_Streaming_Forecast,\n Premium_Streaming,\n Ad_Supported_Streaming,\n Streaming_Total,\n Downloads_Total,\n Digital_Consumption_Units\n --Row_Number\n\nFROM rank\nWHERE Country_ID IS NOT Null\nGROUP BY 1,2,3,4,5,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31 -- add one for late add flag\nORDER BY Release_Name DESC", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_digital_forecast_processing", "model.my_new_project.late_adds"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_digital_forecasts"], "unique_id": "model.my_new_project.stg_digital_forecasts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_digital_forecasts.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_digital_forecasts.sql", "name": "stg_digital_forecasts", "alias": "stg_digital_forecasts", "checksum": {"name": "sha256", "checksum": "a5f8a9587fdc441f35e4dc02722b6e3fc08dc2f511642e6c3d9d5c5e093c3734"}, "tags": [], "refs": [["stg_digital_forecast_processing"], ["late_adds"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.487174}, "model.my_new_project.stg_latest_release": {"raw_sql": "--Retrieves an artists latest release from release history\n-- This query could probably be optimized. There is an inner join to the same data source mearly to add filter criteria in the where cluase.\n\nWITH Latest_Release AS (\n SELECT\n a.*\n FROM {{ ref( 'stg_release_history')}} a\n INNER JOIN (SELECT lower(Artist_Name) AS Artist_Name, \n MAX(Release_Date) AS Release_Date\n \n FROM {{ ref( 'stg_release_history')}} \n WHERE Sales_Start_Rank = 1 \n GROUP BY 1)\n b ON (lower(a.Artist_Name) = b.Artist_Name) AND (a.Release_Date >= DATEADD(day, -2, b.Release_Date))\n)\n\nSELECT\n *\nFROM Latest_Release", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_release_history", "model.my_new_project.stg_release_history"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_latest_release"], "unique_id": "model.my_new_project.stg_latest_release", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_latest_release.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_latest_release.sql", "name": "stg_latest_release", "alias": "stg_latest_release", "checksum": {"name": "sha256", "checksum": "c077a25f3d5571b0f9833ab080aa3d003be6b259db779515483b74d99ef13e26"}, "tags": [], "refs": [["stg_release_history"], ["stg_release_history"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.4948852}, "model.my_new_project.stg_artist_id_inputs": {"raw_sql": "--Retrieves artist and label ids for artists on the release schedule\n\nSELECT DISTINCT \n artist_id AS Artist_ID,\n label_id AS Label_ID\n\nFROM {{ ref('metadata_simplified') }} m\n\nWHERE artist_name IN (SELECT DISTINCT artist_name FROM {{ ref('stg_release_schedule') }})\nAND artist_name != 'Various Artists'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.metadata_simplified", "model.my_new_project.stg_release_schedule"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_artist_id_inputs"], "unique_id": "model.my_new_project.stg_artist_id_inputs", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_artist_id_inputs.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_artist_id_inputs.sql", "name": "stg_artist_id_inputs", "alias": "stg_artist_id_inputs", "checksum": {"name": "sha256", "checksum": "7133ee4c0031ac719a05f044c7a1c0f066c4009100a360e6ab50986eb8a9b447"}, "tags": [], "refs": [["metadata_simplified"], ["stg_release_schedule"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.5006375}, "model.my_new_project.stg_release_history": {"raw_sql": "--Retrieves the previous release history (track level) for artists on the release schedule and ranks the release history by sales start date\n\nWITH Release_History_Pre AS (\n --All pevious releases except suspected spotify waterfall singles\n SELECT\n l.labelid AS Label_ID,\n l.labelname AS Label_Name,\n a.artistid AS Artist_ID,\n a.artistname AS Artist_Name,\n r.releasename AS Release_Name,\n r.releaseid AS Release_ID,\n r.releasedate AS Release_Date,\n r.sale_start_date AS Sales_Start_Date,\n r.format AS Format,\n t.trackname AS Track_Name,\n DATEDIFF(month, r.releasedate, CURRENT_DATE()) AS Months_Since_Release,\n COUNT(DISTINCT t.trackname) AS Track_Count\n FROM {{ ref('base_dim_label') }} l\n INNER JOIN {{ ref('base_dim_artist') }} a ON a.labelid=l.labelid\n INNER JOIN {{ ref('base_dim_release') }} r ON r.artistid=a.artistid\n INNER JOIN {{ ref('base_dim_track') }} t ON t.upc=r.releaseid --not sure this join is correct. this might be r.display_upc\n LEFT JOIN {{ ref('restrictions_release_territory') }} re ON re.release_id=r.product_id\n LEFT JOIN {{ ref('restrictions_release_store') }} rs ON rs.release_id=r.product_id\n WHERE l.labelid IN (SELECT Label_ID FROM {{ ref('stg_artist_id_inputs') }})\n AND a.artistid IN (SELECT Artist_ID FROM {{ ref('stg_artist_id_inputs') }})\n AND t.track_unique_id != 0\n AND r.format IN ('Single', 'EP', 'Full Length')\n AND (r.version NOT ILIKE '%remix%')\n AND (r.releasename NOT ILIKE '%Animated Video%' AND r.releasename NOT ILIKE '%Lyric Booklet%' AND r.releasename NOT ILIKE '%Official Video%' AND r.releasename NOT ILIKE '%Behind the Scenes%')\n AND (NOT CONTAINS(re.list_aggregate_restrictions, 'USA') OR re.list_aggregate_restrictions IS NULL) --this may cause issues with global scaling\n AND rs.distribution_type='Full Track'\n AND (NOT (CONTAINS(rs.list_aggregate_restrictions,'Spotify')\n AND CONTAINS(rs.list_aggregate_restrictions,'Deezer')\n AND CONTAINS(rs.list_aggregate_restrictions,'Google Music')\n AND CONTAINS(rs.list_aggregate_restrictions,'iTunes/Apple')\n AND CONTAINS(rs.list_aggregate_restrictions,'Amazon Digital Services Inc.')\n AND CONTAINS(rs.list_aggregate_restrictions,'Pandora')\n AND CONTAINS(rs.list_aggregate_restrictions,'YouTube'))\n OR rs.list_aggregate_restrictions IS NULL)\n AND r.releasedate < CURRENT_DATE() -10\n AND r.releaseid NOT IN (SELECT upc FROM {{ ref('stg_spotify_singles') }})\n GROUP BY 1,2,3,4,5,6,7,8,9,10,11\n\n UNION ALL\n-- All previous release that are suspected Spotify waterfall singles\n SELECT\n l.labelid AS Label_ID,\n l.labelname AS Label_Name,\n a.artistid AS Artist_ID,\n a.artistname AS Artist_Name,\n r.releasename AS Release_Name,\n r.releaseid AS Release_ID,\n r.releasedate AS Release_Date,\n r.sale_start_date AS Sales_Start_Date,\n r.format AS Format,\n t.trackname AS Track_Name,\n DATEDIFF(month, r.releasedate, CURRENT_DATE()) AS Months_Since_Release,\n COUNT(DISTINCT t.trackname) AS Track_Count\n FROM {{ ref('base_dim_label') }} l\n INNER JOIN {{ ref('base_dim_artist') }} a ON a.labelid=l.labelid\n INNER JOIN {{ ref('base_dim_release') }} r ON r.artistid=a.artistid\n INNER JOIN {{ ref('base_dim_track') }} t ON t.upc=r.releaseid\n LEFT JOIN {{ ref('restrictions_release_territory') }} re ON re.release_id=r.product_id\n WHERE l.labelid IN (SELECT Label_ID FROM {{ ref('stg_artist_id_inputs') }})\n AND a.artistid IN (SELECT Artist_ID FROM {{ ref('stg_artist_id_inputs') }})\n AND t.track_unique_id != 0\n AND r.format IN ('Single', 'EP', 'Full Length')\n AND (r.version NOT ILIKE '%remix%')\n AND (r.releasename NOT ILIKE '%Animated Video%' AND r.releasename NOT ILIKE '%Lyric Booklet%' AND r.releasename NOT ILIKE '%Official Video%' AND r.releasename NOT ILIKE '%Behind the Scenes%')\n AND (NOT CONTAINS(re.list_aggregate_restrictions, 'USA') OR re.list_aggregate_restrictions IS NULL)\n AND r.releasedate < CURRENT_DATE() -10\n AND r.releaseid IN (SELECT upc FROM {{ ref('stg_spotify_singles') }})\n AND t.track_id=1\n GROUP BY 1,2,3,4,5,6,7,8,9,10,11\n\n UNION ALL\n -- All previous releases that are Instant Grat Tracks for iTunes/Amazon\n SELECT\n l.labelid AS Label_ID,\n l.labelname AS Label_Name,\n a.artistid AS Artist_ID,\n a.artistname AS Artist_Name,\n r.releasename AS Release_Name,\n r.releaseid AS Release_ID,\n ig.date AS Release_Date,\n r.sale_start_date AS Sales_Start_Date,\n r.format AS Format,\n t.track_name AS Track_Name,\n DATEDIFF(month, ig.date, CURRENT_DATE()) AS Months_Since_Release,\n COUNT(DISTINCT t.track_name) AS Track_Count\nFROM {{ ref('base_ar_track_instant_grat') }} ig\nLEFT JOIN {{ ref('base_ar_track') }} t ON t.id=ig.unique_track_id\nLEFT JOIN {{ ref('base_dim_release') }} r ON r.product_id=t.release_id\nLEFT JOIN {{ ref('base_dim_artist') }} a ON a.artistid=r.artistid\nLEFT JOIN {{ ref('base_dim_label') }} l ON l.labelid=a.labelid\nWHERE l.labelid IN (SELECT Label_ID FROM {{ ref('stg_artist_id_inputs') }})\nAND a.artistid IN (SELECT Artist_ID FROM {{ ref('stg_artist_id_inputs') }})\nAND (r.version NOT ILIKE '%remix%')\nAND (r.releasename NOT ILIKE '%Animated Video%' AND r.releasename NOT ILIKE '%Lyric Booklet%' AND r.releasename NOT ILIKE '%Official Video%' AND r.releasename NOT ILIKE '%Behind the Scenes%')\nAND ig.date < CURRENT_DATE() - 10\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11\n),\n\nRelease_History_Post AS (\n SELECT DISTINCT\n rhp.Label_ID AS Label_ID,\n rhp.Label_Name AS Label_Name,\n rhp.Artist_ID AS Artist_ID,\n rhp.Artist_Name AS Artist_Name,\n rhp.Release_Name AS Release_Name,\n rhp.Release_ID AS Release_ID,\n rhp.Release_Date AS Release_Date,\n rhp.Sales_Start_Date AS Sales_Start_Date,\n rhp.Format AS Format,\n rhp.Track_Name AS Track_Name,\n rhp.Months_Since_Release AS Months_Since_Release,\n rhp.Track_Count AS Track_Count\n\n FROM Release_History_Pre rhp\n),\n\n\nRanked_Release_History AS (\n SELECT\n *,\n DENSE_RANK() OVER (PARTITION BY Artist_Name ORDER BY Release_Date DESC) AS Sales_Start_Rank\n FROM Release_History_Post\n)\n\nSELECT *\nFROM Ranked_Release_History", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_dim_label", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track", "model.my_new_project.restrictions_release_territory", "model.my_new_project.restrictions_release_store", "model.my_new_project.stg_artist_id_inputs", "model.my_new_project.stg_artist_id_inputs", "model.my_new_project.stg_spotify_singles", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track", "model.my_new_project.restrictions_release_territory", "model.my_new_project.stg_artist_id_inputs", "model.my_new_project.stg_artist_id_inputs", "model.my_new_project.stg_spotify_singles", "model.my_new_project.base_ar_track_instant_grat", "model.my_new_project.base_ar_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_label", "model.my_new_project.stg_artist_id_inputs", "model.my_new_project.stg_artist_id_inputs"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_release_history"], "unique_id": "model.my_new_project.stg_release_history", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_release_history.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_release_history.sql", "name": "stg_release_history", "alias": "stg_release_history", "checksum": {"name": "sha256", "checksum": "312b69bb01d9974e5a4c8f55f6a708345a71e3a48587ef57bc575be7dcaf123d"}, "tags": [], "refs": [["base_dim_label"], ["base_dim_artist"], ["base_dim_release"], ["base_dim_track"], ["restrictions_release_territory"], ["restrictions_release_store"], ["stg_artist_id_inputs"], ["stg_artist_id_inputs"], ["stg_spotify_singles"], ["base_dim_label"], ["base_dim_artist"], ["base_dim_release"], ["base_dim_track"], ["restrictions_release_territory"], ["stg_artist_id_inputs"], ["stg_artist_id_inputs"], ["stg_spotify_singles"], ["base_ar_track_instant_grat"], ["base_ar_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_label"], ["stg_artist_id_inputs"], ["stg_artist_id_inputs"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.5064957}, "model.my_new_project.stg_latest_release_units": {"raw_sql": "-- Aggregate streams at the release level to be displayed in final output\n\nSELECT\n tu.Release_Name AS Release_Name,\n tu.Release_ID AS Release_ID,\n tu.Country_ID AS Country_ID,\n SUM(tu.First_Week_Units) AS First_Week_Release_Units\nFROM {{ ref('stg_latest_release_track_units') }} tu\nGROUP BY 1,2,3", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_latest_release_track_units"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_latest_release_units"], "unique_id": "model.my_new_project.stg_latest_release_units", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_latest_release_units.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_latest_release_units.sql", "name": "stg_latest_release_units", "alias": "stg_latest_release_units", "checksum": {"name": "sha256", "checksum": "a820e6b7b5d7e7d3bcc47b2497bbe080161e585d038cc1d99a75f53f8706ce6a"}, "tags": [], "refs": [["stg_latest_release_track_units"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.5126143}, "model.my_new_project.stg_latest_release_track_units": {"raw_sql": "--Retrieves first week units for latest releases by track, store, transaction type, and country\n\n{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nSELECT\n m.Release_Name AS Release_Name,\n m.Release_ID AS Release_ID,\n m.Track_Name AS Track_Name,\n fa.storeid AS Store_ID,\n fa.transactiontypeid AS Transaction_Type_ID,\n fa.countryid AS Country_ID,\n SUM(CASE WHEN fa.download_activity_date BETWEEN m.Release_Date AND DATEADD(day, 6, m.Release_Date) THEN units ELSE NULL END) AS First_Week_Units --this logic could potentially be moved to the WHERE clause (i.e SUM(units) where fa.downloads date bwetween min(release date) and dateadd(6,Min(release_date))\n\nFROM {{ ref('base_fact_analytics') }} fa\n--INNER JOIN {{ ref('base_dim_release') }} r ON r.releaseid = fa.releaseid\nINNER JOIN {{ ref('base_dim_track') }} t ON t.trackid = fa.trackid --Changed from left join to inner join(MUUUUCH FASTER NOW)\nINNER JOIN {{ ref('stg_latest_release') }} m ON m.Label_ID = fa.labelid \n AND m.Artist_ID = fa.artistid\n AND m.Release_ID = fa.releaseid\n AND m.Track_Name = t.trackname\n\n\nWHERE transactiontypeid IN (1,10,12,17,19,23,31,32,37,38,48)\nAND fa.labelid IN (SELECT Label_ID FROM {{ ref('stg_artist_id_inputs')}})\nAND fa.artistid IN (SELECT Artist_ID FROM {{ ref('stg_artist_id_inputs') }})\nAND fa.countryid IN (1,3)\nGROUP BY 1,2,3,4,5,6", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track", "model.my_new_project.stg_latest_release", "model.my_new_project.stg_artist_id_inputs", "model.my_new_project.stg_artist_id_inputs"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_latest_release_track_units"], "unique_id": "model.my_new_project.stg_latest_release_track_units", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_latest_release_track_units.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_latest_release_track_units.sql", "name": "stg_latest_release_track_units", "alias": "stg_latest_release_track_units", "checksum": {"name": "sha256", "checksum": "2b5dca078eee096f644a359e94b65a99c8baf8d32ff1eb7c0df6a7d8af120a72"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_release"], ["base_dim_track"], ["stg_latest_release"], ["stg_artist_id_inputs"], ["stg_artist_id_inputs"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.5174003}, "model.my_new_project.debut_forecasts": {"raw_sql": "-- Combine digital and physical forecast together\n\n{{\n\nconfig(\n materialized = 'incremental',\n incremental_strategy = 'delete+insert',\n unique_key = 'PKEY'\n)\n\n}}\n\nSELECT\n df.*,\n CASE WHEN Country_ID = 1 THEN SUM(pf.US_Physical) ELSE 0 END as Physical_Total,\n ZEROIFNULL(df.digital_consumption_units) + ZEROIFNULL(Physical_Total) AS Total_Consumption\nFROM {{ ref('stg_digital_forecasts') }} df\nLEFT JOIN {{ ref('stg_physical_forecasts') }} pf \n ON pf.Release_Name ILIKE df.Release_Name || '%' --Fuzzy Matching\n AND pf.Artist_Name ILIKE df.Artist_Name || '%' --Fuzzy Matching\n AND df.Format IN ('Full Length', 'EP') -- only join physical to albums and eps\n AND DATEDIFF(DAY, df.Release_Date, pf.In_Store_Date) IN (1,0,-1) --Only Day and Date physical gets pulled in\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_digital_forecasts", "model.my_new_project.stg_physical_forecasts"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "PKEY", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "debut_forecasts"], "unique_id": "model.my_new_project.debut_forecasts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/debut_forecasts.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/debut_forecasts.sql", "name": "debut_forecasts", "alias": "debut_forecasts", "checksum": {"name": "sha256", "checksum": "5f8b256e6a07edc8afef2a2cde99f91b43f49ae084b895350ad4538d99e22b3a"}, "tags": [], "refs": [["stg_digital_forecasts"], ["stg_physical_forecasts"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "incremental_strategy": "delete+insert", "unique_key": "PKEY"}, "created_at": 1660067940.5335622}, "model.my_new_project.stg_latest_release_track_units_pivot": {"raw_sql": "WITH latest_release_units_pivot_prep AS (\n SELECT\n tu.Release_Name AS Release_Title,\n tu.Release_ID AS UPC,\n tu.Track_Name AS Track_Title,\n tu.Country_ID AS CountryID,\n s.storename || ' ' || tt.transactiontypeabbr AS Store_Transaction_Type,\n tu.First_Week_Units AS First_Week_Units\nFROM {{ ref('stg_latest_release_track_units') }} tu\nINNER JOIN {{ ref('base_dim_store') }} s ON s.storeid = tu.Store_ID\nINNER JOIN {{ ref('base_dim_transaction_type') }} tt ON tt.transactiontypeid = tu.Transaction_Type_ID )\n\n\nSELECT\n *\nFROM latest_release_units_pivot_prep\nPIVOT (SUM(First_Week_Units) FOR Store_Transaction_Type\nIN ('iTunes/Apple S','iTunes/Apple SV','iTunes/Apple DA','iTunes/Apple DT','iTunes/Apple DV',\n 'Spotify AS', 'Spotify S',\n 'Pandora MT','Pandora S',\n 'Napster S',\n 'Google Play S', 'Google Play DA', 'Google Play DT',\n 'Deezer AS','Deezer S',\n 'Amazon Music AS', 'Amazon Music MT','Amazon Music S','Amazon Music DA','Amazon Music DT',\n 'YouTube AEA', 'YouTube AEV','YouTube VU', 'YouTube US')) AS p", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_latest_release_track_units", "model.my_new_project.base_dim_store", "model.my_new_project.base_dim_transaction_type"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_forecasting", "debut_forecasting", "stg_latest_release_track_units_pivot"], "unique_id": "model.my_new_project.stg_latest_release_track_units_pivot", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_forecasting/debut_forecasting/stg_latest_release_track_units_pivot.sql", "original_file_path": "models/bi_forecasting/debut_forecasting/stg_latest_release_track_units_pivot.sql", "name": "stg_latest_release_track_units_pivot", "alias": "stg_latest_release_track_units_pivot", "checksum": {"name": "sha256", "checksum": "d2a46559ec9f52b2af37df6dc6aa4a7dc725128c0260203fe701fa4dd9abeb56"}, "tags": [], "refs": [["stg_latest_release_track_units"], ["base_dim_store"], ["base_dim_transaction_type"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.5395555}, "model.my_new_project.stg_analytics": {"raw_sql": "{{\nconfig(\n materialized='table'\n )\n}}\n\nSELECT\n download_activity_date,\n storeid,\n countryid,\n transactiontypeid,\n labelid,\n subaccountid,\n artistid,\n releaseid,\n trackid,\n units AS sales,\n NULL AS gross_usd,\n NULL AS net_usd,\n TO_CHAR(download_activity_date)||'blend' AS incremental_tag,\n FALSE AS is_accounting\nFROM {{ ref('stg_analytics_alone') }}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_analytics_alone"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_analytics"], "unique_id": "model.my_new_project.stg_analytics", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_analytics.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_analytics.sql", "name": "stg_analytics", "alias": "stg_analytics", "checksum": {"name": "sha256", "checksum": "99c28f33b6e73a7e622b5fe41bdd840b02b3b9222c0465946a73a928a4ce83ec"}, "tags": [], "refs": [["stg_analytics_alone"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.543198}, "model.my_new_project.stg_accounting_aggregates": {"raw_sql": "{{\nconfig(\n materialized='table'\n )\n}}\n\nSELECT\n acct_activitydate AS download_activity_date,\n storeid,\n countryid,\n transactiontypeid,\n labelid,\n subaccountid,\n artistid,\n releaseid,\n trackid,\n sales,\n gross_usd,\n net_usd,\n TRUE AS is_accounting\nFROM {{ ref('stg_has_accounting') }}\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_has_accounting"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_accounting_aggregates"], "unique_id": "model.my_new_project.stg_accounting_aggregates", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_accounting_aggregates.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_accounting_aggregates.sql", "name": "stg_accounting_aggregates", "alias": "stg_accounting_aggregates", "checksum": {"name": "sha256", "checksum": "233724726090ba740e1aa44e5bab1b71aa9af62a0c6bd7b2536d6eaad81120e9"}, "tags": [], "refs": [["stg_has_accounting"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.5462363}, "model.my_new_project.stg_fact_sales_blend_v2": {"raw_sql": "{{\n config(\n materialized='table',\n tags=[\"fact_sales_blend_v2\"]\n )\n}}\n\nSELECT\n DATE_FROM_PARTS(activityyear, activitymonth, '1') AS acct_activitydate,\n storeid,\n countryid,\n transactiontypeid,\n labelid,\n zeroifnull(subaccountid) AS subaccountid,\n artistid,\n releaseid,\n trackid,\n SUM(sales) AS sales,\n SUM(gross) AS gross_usd,\n SUM(net_receipt) AS net_usd\nFROM facts.prod.fact_sales\nWHERE accountingperiodid BETWEEN (SELECT min_period FROM {{ ref('stg_blend_range_v2') }}) AND (SELECT max_period FROM {{ ref('stg_blend_range_v2') }})\nGROUP BY 1,2,3,4,5,6,7,8,9", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_blend_range_v2", "model.my_new_project.stg_blend_range_v2"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": ["fact_sales_blend_v2"], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_fact_sales_blend_v2"], "unique_id": "model.my_new_project.stg_fact_sales_blend_v2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_fact_sales_blend_v2.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_fact_sales_blend_v2.sql", "name": "stg_fact_sales_blend_v2", "alias": "stg_fact_sales_blend_v2", "checksum": {"name": "sha256", "checksum": "b5f8f0e14cc8796fe1059166750eb421cee594524d0046cfae9925c17f4f49a4"}, "tags": ["fact_sales_blend_v2"], "refs": [["stg_blend_range_v2"], ["stg_blend_range_v2"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table", "tags": ["fact_sales_blend_v2"]}, "created_at": 1660067940.5493982}, "model.my_new_project.stg_fact_analytics_v2": {"raw_sql": "{{\n config(\n materialized='incremental',\n unique_key='download_activity_date',\n incremental_strategy='delete+insert'\n )\n\n}}\n\nSELECT\n download_activity_date,\n DATE_FROM_PARTS(YEAR(download_activity_date), MONTH(download_activity_date),'1') AS download_date,\n CASE\n WHEN storeid = 187 AND transactiontypeid = 1 THEN 187\n ELSE storeid END AS storeid,\n countryid,\n CASE transactiontypeid\n WHEN 26 THEN 4\n WHEN 37 THEN 10\n WHEN 38 THEN 9\n ELSE transactiontypeid END AS transactiontypeid,\n labelid,\n zeroifnull(subaccountid) AS subaccountid,\n artistid,\n releaseid,\n trackid,\n SUM(units) AS units\nFROM {{ ref('base_fact_analytics') }} fa\nWHERE\n{% if is_incremental() %}\ndownload_activity_date > (CURRENT_DATE() - 30 )\n{% else %}\ndayid >= (\n SELECT dayid\n FROM {{ ref('base_dim_day') }}\n WHERE displaydate = (\n SELECT DATE_FROM_PARTS(year, month, 1)\n FROM {{ ref('base_dim_period') }}\n WHERE periodid = (\n SELECT MAX(accountingperiodid) - 7 FROM {{ ref('base_fact_sales') }}\n )\n )\n)\n{% endif %}\n AND transactiontypeid NOT IN (30,31,33,34,35)\n AND labelid != 32551\n AND storeid != 1\n GROUP BY 1,2,3,4,5,6,7,8,9,10\n\nUNION ALL\n\nSELECT\n fa.download_activity_date,\n DATE_FROM_PARTS(YEAR(am.apple_month),MONTH(am.apple_month),1) AS activitymonth,\n fa.storeid,\n fa.countryid,\n CASE fa.transactiontypeid\n WHEN 26 THEN 4\n WHEN 37 THEN 10\n WHEN 38 THEN 9\n ELSE fa.transactiontypeid END AS transactiontypeid,\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n fa.releaseid,\n fa.trackid,\n SUM(fa.units) AS units\nFROM {{ ref('base_fact_analytics') }} fa\nINNER JOIN {{ ref('base_intelligence_apple_544') }} am ON\n am.apple_month_start <= fa.download_activity_date AND\n am.apple_month_end >= fa.download_activity_date\nWHERE\n{% if is_incremental() %}\nfa.download_activity_date > (CURRENT_DATE() - 30 )\n{% else %}\nfa.dayid >= (\n SELECT dayid\n FROM {{ ref('base_dim_day') }}\n WHERE displaydate = (\n SELECT DATE_FROM_PARTS(year, month, 1)\n FROM {{ ref('base_dim_period') }}\n WHERE periodid = (\n SELECT MAX(accountingperiodid) - 6 FROM {{ ref('base_fact_sales') }}\n )\n )\n)\n{% endif %}\n AND fa.transactiontypeid NOT IN (30,31,33,34,35)\n AND fa.labelid != 32551\n AND fa.storeid = 1\n GROUP BY 1,2,3,4,5,6,7,8,9,10", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_period", "model.my_new_project.base_fact_sales", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_intelligence_apple_544", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_period", "model.my_new_project.base_fact_sales"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "download_activity_date", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_fact_analytics_v2"], "unique_id": "model.my_new_project.stg_fact_analytics_v2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_fact_analytics_v2.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_fact_analytics_v2.sql", "name": "stg_fact_analytics_v2", "alias": "stg_fact_analytics_v2", "checksum": {"name": "sha256", "checksum": "a89821183b072a76594e2f5bb780e85a39b7c48ea1918989a5a9f25f1f2a63a1"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_day"], ["base_dim_period"], ["base_fact_sales"], ["base_fact_analytics"], ["base_intelligence_apple_544"], ["base_dim_day"], ["base_dim_period"], ["base_fact_sales"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "download_activity_date", "incremental_strategy": "delete+insert"}, "created_at": 1660067940.5527027}, "model.my_new_project.stg_historic_fact_sales": {"raw_sql": "{{\n config(\n materialized='table',\n tags=[\"historic_fact_sales\"]\n )\n}}\n\nSELECT\n DATE_FROM_PARTS(activityyear, activitymonth, '1') AS acct_activitydate,\n storeid,\n countryid,\n transactiontypeid,\n labelid,\n zeroifnull(subaccountid) AS subaccountid,\n artistid,\n releaseid,\n trackid,\n SUM(sales) AS sales,\n SUM(gross) AS gross_usd,\n SUM(net_receipt) AS net_usd,\n TO_CHAR(acct_activitydate) || 'historic' AS incremental_tag,\n TRUE AS is_accounting\nFROM {{ ref('base_fact_sales') }}\nWHERE accountingperiodid < (SELECT min_period FROM {{ ref('stg_blend_range_v2') }})\nGROUP BY 1,2,3,4,5,6,7,8,9", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales", "model.my_new_project.stg_blend_range_v2"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": ["historic_fact_sales"], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_historic_fact_sales"], "unique_id": "model.my_new_project.stg_historic_fact_sales", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_historic_fact_sales.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_historic_fact_sales.sql", "name": "stg_historic_fact_sales", "alias": "stg_historic_fact_sales", "checksum": {"name": "sha256", "checksum": "ab354f644a624ed9c7409d18f857a72e1c56c64cd00f92f5889cdabb97b0d9bd"}, "tags": ["historic_fact_sales"], "refs": [["base_fact_sales"], ["stg_blend_range_v2"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table", "tags": ["historic_fact_sales"]}, "created_at": 1660067940.563162}, "model.my_new_project.stg_has_accounting": {"raw_sql": "{{\nconfig(\n materialized='table'\n )\n}}\n\n\nSELECT\n fa.download_activity_date,\n fa.download_date,\n COALESCE(fs.storeid, fa.storeid) AS storeid,\n COALESCE(fs.countryid, fa.countryid) AS countryid,\n COALESCE(fs.transactiontypeid, fa.transactiontypeid) AS transactiontypeid,\n COALESCE(fs.labelid, fa.labelid) AS labelid,\n COALESCE(fs.subaccountid, fa.subaccountid) AS subaccountid,\n COALESCE(fs.artistid, fa.artistid) AS artistid,\n COALESCE(fs.releaseid, fa.releaseid) AS releaseid,\n COALESCE(fs.trackid, fa.trackid) AS trackid,\n fs.acct_activitydate,\n fs.sales,\n fs.gross_usd,\n fs.net_usd,\n IFF(DAY(download_date)=1 AND sales IS NOT NULL, TRUE,FALSE) AS has_accounting\nFROM {{ ref('stg_fact_analytics_v2') }} fa\nFULL OUTER JOIN {{ ref('stg_fact_sales_blend_v2') }} fs ON fs.acct_activitydate=fa.download_date\nAND fs.storeid=fa.storeid\nAND fs.countryid=fa.countryid\nAND fs.transactiontypeid=fa.transactiontypeid\nAND fs.labelid=fa.labelid\nAND fs.subaccountid=fa.subaccountid\nAND fs.artistid=fa.artistid\nAND fs.releaseid=fa.releaseid\nAND fs.trackid=fa.trackid\nWHERE has_accounting=TRUE OR sales IS NOT NULL", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_fact_analytics_v2", "model.my_new_project.stg_fact_sales_blend_v2"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_has_accounting"], "unique_id": "model.my_new_project.stg_has_accounting", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_has_accounting.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_has_accounting.sql", "name": "stg_has_accounting", "alias": "stg_has_accounting", "checksum": {"name": "sha256", "checksum": "b50277c35067200499715641d6a0be47710795318dccc97faeaca4fd59c9ee04"}, "tags": [], "refs": [["stg_fact_analytics_v2"], ["stg_fact_sales_blend_v2"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.5663004}, "model.my_new_project.stg_analytics_alone": {"raw_sql": "{{\nconfig(\n materialized='table'\n )\n}}\n\nSELECT\n fa.*,\n fs.acct_activitydate,\n fs.sales,\n fs.gross_usd,\n fs.net_usd,\n IFF(DAY(download_date)=1 AND sales IS NOT NULL, TRUE,FALSE) AS has_accounting\nFROM {{ ref('stg_fact_analytics_v2') }} fa\nLEFT JOIN {{ ref('stg_fact_sales_blend_v2') }} fs ON fs.acct_activitydate=fa.download_date\nAND fs.storeid=fa.storeid\nAND fs.countryid=fa.countryid\nAND fs.transactiontypeid=fa.transactiontypeid\nAND fs.labelid=fa.labelid\nAND fs.subaccountid=fa.subaccountid\nAND fs.artistid=fa.artistid\nAND fs.releaseid=fa.releaseid\nAND fs.trackid=fa.trackid\nWHERE has_accounting=FALSE", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_fact_analytics_v2", "model.my_new_project.stg_fact_sales_blend_v2"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_analytics_alone"], "unique_id": "model.my_new_project.stg_analytics_alone", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_analytics_alone.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_analytics_alone.sql", "name": "stg_analytics_alone", "alias": "stg_analytics_alone", "checksum": {"name": "sha256", "checksum": "fc1a6231e4ad692fc0a1d2197dfce17b9fd83d36ba2b552b0e00152bd5b8fb72"}, "tags": [], "refs": [["stg_fact_analytics_v2"], ["stg_fact_sales_blend_v2"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.5694344}, "model.my_new_project.accounting_analytics_blend_v2": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'incremental_tag',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,labelid,trackid)'\n ]\n })\n}}\n\nSELECT *\nFROM {{ ref('stg_analytics') }}\n\nUNION ALL\n\nSELECT *\nFROM {{ ref('stg_accounting_aggregates_blendtag') }}\n\n{% if is_incremental() %}\n\n{% else %}\nUNION ALL\n\nSELECT *\nFROM {{ ref('stg_historic_fact_sales') }}\n{% endif %}", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.stg_analytics", "model.my_new_project.stg_accounting_aggregates_blendtag", "model.my_new_project.stg_historic_fact_sales"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "incremental_tag", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,labelid,trackid)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "accounting_analytics_blend_v2"], "unique_id": "model.my_new_project.accounting_analytics_blend_v2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/accounting_analytics_blend_v2.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/accounting_analytics_blend_v2.sql", "name": "accounting_analytics_blend_v2", "alias": "accounting_analytics_blend_v2", "checksum": {"name": "sha256", "checksum": "8f2dc42f16d18457b2621ae9d767c1e7d4fc1c86873eb984ddc4d04153615a0f"}, "tags": [], "refs": [["stg_analytics"], ["stg_accounting_aggregates_blendtag"], ["stg_historic_fact_sales"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "incremental_tag", "incremental_strategy": "delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,labelid,trackid)"]}, "created_at": 1660067940.5725195}, "model.my_new_project.stg_accounting_aggregates_blendtag": {"raw_sql": "{{\nconfig(\n materialized='table'\n )\n}}\n\nSELECT\n download_activity_date,\n storeid,\n countryid,\n transactiontypeid,\n labelid,\n subaccountid,\n artistid,\n releaseid,\n trackid,\n sales,\n gross_usd,\n net_usd,\n TO_CHAR(download_activity_date) || 'blend' AS incremental_tag,\n TRUE AS is_accounting\nFROM {{ ref('stg_accounting_aggregates') }}\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_accounting_aggregates"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_accounting_aggregates_blendtag"], "unique_id": "model.my_new_project.stg_accounting_aggregates_blendtag", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_accounting_aggregates_blendtag.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_accounting_aggregates_blendtag.sql", "name": "stg_accounting_aggregates_blendtag", "alias": "stg_accounting_aggregates_blendtag", "checksum": {"name": "sha256", "checksum": "61f3558a56ab52f8785153dc18637618090a92cd704c5339347a62c1a4cf82e4"}, "tags": [], "refs": [["stg_accounting_aggregates"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.585964}, "model.my_new_project.stg_blend_range_v2": {"raw_sql": "SELECT\n MAX(accountingperiodid) AS max_period,\n MAX(accountingperiodid) - 6 AS min_period\nFROM {{ ref('base_fact_sales') }}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_sales"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_blend_models", "accounting_analytics_blend", "stg_blend_range_v2"], "unique_id": "model.my_new_project.stg_blend_range_v2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_blend_models/accounting_analytics_blend/stg_blend_range_v2.sql", "original_file_path": "models/bi_blend_models/accounting_analytics_blend/stg_blend_range_v2.sql", "name": "stg_blend_range_v2", "alias": "stg_blend_range_v2", "checksum": {"name": "sha256", "checksum": "c5fbdb9ccab1f17e07d2db3ebb28b7dbad0f87ae9e3c316ddd861cdc3c5e8066"}, "tags": [], "refs": [["base_fact_sales"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.5892665}, "model.my_new_project.latest_contracts": {"raw_sql": "-- this query identifies labels latest contracts by ranking contracts based on contract id\n\n{{ config( materialized = 'table' )}}\n\nwith contracts as (\n\tselect\n\t\tv.vendor_id as label_id,\n\t\tv.owner as label_owner,\n\t\tIFF(v.company IS NULL OR v.company REGEXP ' *',IFF(v.name IS NULL OR v.name REGEXP ' *',TO_VARCHAR(v.vendor_id),v.name),v.company) as label_name,\n\t\tv.status as label_status,\n\t\tvcc.id as contract_id,\n\t\tvcc.release_term as release_term, --this is the length of the contract in months (it's a legacy field and is not used for many contracts)\n\t\tvcc.unlimited_roll as unlimited_roll, --if the contract will renew automatically for an unlimited amount of time 'Y' else 'N'\n\t\tvcc.cont_start as contract_start,\n\t\tcase\n\t\t\twhen vcc.release_term != 0 then DATEADD(month,vcc.release_term, IFNULL(vcc.cont_start,'1999-01-01'))\n\t\t\telse vcc.cont_end\n\t\tend as contract_end,\n\t\trow_number() over (partition by v.vendor_id order by vcc.id desc) as contract_rank\n\tfrom {{ ref('base_ar_vendor')}} v\n\tleft join {{ ref('base_ar_vendor_contract')}} vcc on vcc.vendor_id = v.vendor_id\n)\n\nselect * \nfrom contracts \nwhere contract_rank = 1 -- filters for the latest available contracts only\n-- and label_owner not in ('awa','knr','SMEAnalytics', '1091 FT') --removes non-orchard labels", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_ar_vendor", "model.my_new_project.base_ar_vendor_contract"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_contract_management", "latest_contracts"], "unique_id": "model.my_new_project.latest_contracts", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_contract_management/latest_contracts.sql", "original_file_path": "models/bi_contract_management/latest_contracts.sql", "name": "latest_contracts", "alias": "latest_contracts", "checksum": {"name": "sha256", "checksum": "6fdf8e053fd4a662ff71180ae9ffb9db4d70a389b07b5d39978710409afa56df"}, "tags": [], "refs": [["base_ar_vendor"], ["base_ar_vendor_contract"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.5919788}, "model.my_new_project.weekly_spikes_africa": {"raw_sql": "WITH today_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n SUM(fa.units) AS today_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.download_activity_date BETWEEN CURRENT_DATE()-8 AND CURRENT_DATE()-2\n AND fa.countryid IN (\n 19,\n 21,\n 33,\n 37,\n 40,\n 42,\n 44,\n 45,\n 46,\n 47,\n 51,\n 52,\n 54,\n 60,\n 64,\n 66,\n 67,\n 69,\n 72,\n 73,\n 75,\n 78,\n 79,\n 94,\n 103,\n 104,\n 105,\n 110,\n 111,\n 114,\n 117,\n 118,\n 123,\n 124,\n 125,\n 131,\n 132,\n 147,\n 153,\n 155,\n 156,\n 157,\n 162,\n 163,\n 165,\n 167,\n 170,\n 172,\n 175,\n 179,\n 188,\n 189,\n 204,\n 207)\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6\n HAVING today_streams > 35000\n),\n\nprevious_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n DATE_TRUNC('week', download_activity_date) AS week,\n SUM(fa.units) AS previous_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.countryid IN (\n 19,\n 21,\n 33,\n 37,\n 40,\n 42,\n 44,\n 45,\n 46,\n 47,\n 51,\n 52,\n 54,\n 60,\n 64,\n 66,\n 67,\n 69,\n 72,\n 73,\n 75,\n 78,\n 79,\n 94,\n 103,\n 104,\n 105,\n 110,\n 111,\n 114,\n 117,\n 118,\n 123,\n 124,\n 125,\n 131,\n 132,\n 147,\n 153,\n 155,\n 156,\n 157,\n 162,\n 163,\n 165,\n 167,\n 170,\n 172,\n 175,\n 179,\n 188,\n 189,\n 204,\n 207)\n AND l.distributor != 'sme'\n AND fa.download_activity_date BETWEEN CURRENT_DATE()- 72 AND CURRENT_DATE()- 9\n GROUP BY 1,2,3,4,5,6,7\n),\n\nstats AS (\n SELECT\n labelid,\n subaccountid,\n artistid,\n isrc,\n track_name,\n storeid,\n AVG(previous_streams) AS avrg,\n STDDEV(previous_streams) AS std\n FROM previous_streams\n GROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n ts.labelid,\n ts.subaccountid,\n ts.artistid,\n ts.isrc,\n u.upc,\n ts.track_name,\n ts.storeid,\n ts.today_streams,\n s.avrg AS average_streams,\n ((today_streams - average_streams) / (nullif(average_streams,0)) * 100) AS percent_above_average,\n s.std AS standard_deviation,\n (today_streams - average_streams) / (nullif(standard_deviation,0)) AS spike_score\nFROM today_streams ts\nINNER JOIN stats s\nON ts.labelid=s.labelid\nAND ts.subaccountid=s.subaccountid\nAND ts.artistid=s.artistid\nAND ts.isrc=s.isrc\nAND ts.track_name=s.track_name\nAND ts.storeid=s.storeid\nINNER JOIN (SELECT\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) AS row_number\nFROM {{ ref('base_ar_track') }} t\nINNER JOIN (SELECT * FROM {{ ref('base_ar_releases') }} WHERE distribution_format_id IN (1,57)\nAND release_date > DATEADD(year,-1, CURRENT_DATE())) r ON r.upc=t.upc) u ON u.isrc=ts.isrc\nWHERE spike_score > 1\nAND u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_spikes", "weekly_spikes_africa"], "unique_id": "model.my_new_project.weekly_spikes_africa", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_africa.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_africa.sql", "name": "weekly_spikes_africa", "alias": "weekly_spikes_africa", "checksum": {"name": "sha256", "checksum": "40a57e14136eafe5f31d0fcb836c9b734e1a1e128b3bfb135fbc261f39c17f4b"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.595188}, "model.my_new_project.weekly_spikes_us": {"raw_sql": "WITH today_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n SUM(fa.units) AS today_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.download_activity_date BETWEEN CURRENT_DATE()-8 AND CURRENT_DATE()-2\n AND fa.countryid=1\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6\n HAVING today_streams > 35000\n),\n\nprevious_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n DATE_TRUNC('week', download_activity_date) AS week,\n SUM(fa.units) AS previous_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND l.distributor != 'sme'\n AND fa.countryid=1\n AND fa.download_activity_date BETWEEN CURRENT_DATE()- 72 AND CURRENT_DATE()- 9\n GROUP BY 1,2,3,4,5,6,7\n),\n\nstats AS (\n SELECT\n labelid,\n subaccountid,\n artistid,\n isrc,\n track_name,\n storeid,\n AVG(previous_streams) AS avrg,\n STDDEV(previous_streams) AS std\n FROM previous_streams\n GROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n ts.labelid,\n ts.subaccountid,\n ts.artistid,\n ts.isrc,\n u.upc,\n ts.track_name,\n ts.storeid,\n ts.today_streams,\n s.avrg AS average_streams,\n ((today_streams - average_streams) / (nullif(average_streams,0)) * 100) AS percent_above_average,\n s.std AS standard_deviation,\n (today_streams - average_streams) / (nullif(standard_deviation,0)) AS spike_score\nFROM today_streams ts\nINNER JOIN stats s\nON ts.labelid=s.labelid\nAND ts.subaccountid=s.subaccountid\nAND ts.artistid=s.artistid\nAND ts.isrc=s.isrc\nAND ts.track_name=s.track_name\nAND ts.storeid=s.storeid\nINNER JOIN (SELECT\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) AS row_number\nFROM {{ ref('base_ar_track') }} t\nINNER JOIN (SELECT * FROM {{ ref('base_ar_releases') }} WHERE distribution_format_id IN (1,57)\nAND release_date > DATEADD(year,-1, CURRENT_DATE())) r ON r.upc=t.upc) u ON u.isrc=ts.isrc\nWHERE spike_score > 1\nAND u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_spikes", "weekly_spikes_us"], "unique_id": "model.my_new_project.weekly_spikes_us", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_us.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_us.sql", "name": "weekly_spikes_us", "alias": "weekly_spikes_us", "checksum": {"name": "sha256", "checksum": "a53bc11696a574a388d8e80b60d5445c642b1c7b26573e2e6d9b5fb2ed46cdaf"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.5984356}, "model.my_new_project.weekly_spikes_uk": {"raw_sql": "WITH today_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n SUM(fa.units) AS today_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.download_activity_date BETWEEN CURRENT_DATE()-8 AND CURRENT_DATE()-2\n AND fa.countryid=3\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6\n HAVING today_streams > 35000\n),\n\nprevious_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n DATE_TRUNC('week', download_activity_date) AS week,\n SUM(fa.units) AS previous_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.countryid=3\n AND l.distributor != 'sme'\n AND fa.download_activity_date BETWEEN CURRENT_DATE()- 72 AND CURRENT_DATE()- 9\n GROUP BY 1,2,3,4,5,6,7\n),\n\nstats AS (\n SELECT\n labelid,\n subaccountid,\n artistid,\n isrc,\n track_name,\n storeid,\n AVG(previous_streams) AS avrg,\n STDDEV(previous_streams) AS std\n FROM previous_streams\n GROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n ts.labelid,\n ts.subaccountid,\n ts.artistid,\n ts.isrc,\n u.upc,\n ts.track_name,\n ts.storeid,\n ts.today_streams,\n s.avrg AS average_streams,\n ((today_streams - average_streams) / (nullif(average_streams,0)) * 100) AS percent_above_average,\n s.std AS standard_deviation,\n (today_streams - average_streams) / (nullif(standard_deviation,0)) AS spike_score\nFROM today_streams ts\nINNER JOIN stats s\nON ts.labelid=s.labelid\nAND ts.subaccountid=s.subaccountid\nAND ts.artistid=s.artistid\nAND ts.isrc=s.isrc\nAND ts.track_name=s.track_name\nAND ts.storeid=s.storeid\nINNER JOIN (SELECT\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) AS row_number\nFROM {{ ref('base_ar_track') }} t\nINNER JOIN (SELECT * FROM {{ ref('base_ar_releases') }} WHERE distribution_format_id IN (1,57)\nAND release_date > DATEADD(year,-1, CURRENT_DATE())) r ON r.upc=t.upc -- to show only releases released in the last year\n) u ON u.isrc=ts.isrc\nWHERE spike_score > 1\nAND u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_spikes", "weekly_spikes_uk"], "unique_id": "model.my_new_project.weekly_spikes_uk", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_uk.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_uk.sql", "name": "weekly_spikes_uk", "alias": "weekly_spikes_uk", "checksum": {"name": "sha256", "checksum": "8d8c6b65f90a42e5b09f65baa8abad3dbaff5216867ef7629a3e12647c857d9a"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.6017907}, "model.my_new_project.weekly_spikes_japan": {"raw_sql": "WITH today_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n SUM(fa.units) AS today_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.download_activity_date BETWEEN CURRENT_DATE()-8 AND CURRENT_DATE()-2\n AND fa.countryid=9\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6\n HAVING today_streams > 35000\n),\n\nprevious_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n DATE_TRUNC('week', download_activity_date) AS week,\n SUM(fa.units) AS previous_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.countryid=9\n AND l.distributor != 'sme'\n AND fa.download_activity_date BETWEEN CURRENT_DATE()- 72 AND CURRENT_DATE()- 9\n GROUP BY 1,2,3,4,5,6,7\n),\n\nstats AS (\n SELECT\n labelid,\n subaccountid,\n artistid,\n isrc,\n track_name,\n storeid,\n AVG(previous_streams) AS avrg,\n STDDEV(previous_streams) AS std\n FROM previous_streams\n GROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n ts.labelid,\n ts.subaccountid,\n ts.artistid,\n ts.isrc,\n u.upc,\n ts.track_name,\n ts.storeid,\n ts.today_streams,\n s.avrg AS average_streams,\n ((today_streams - average_streams) / (nullif(average_streams,0)) * 100) AS percent_above_average,\n s.std AS standard_deviation,\n (today_streams - average_streams) / (nullif(standard_deviation,0)) AS spike_score\nFROM today_streams ts\nINNER JOIN stats s\nON ts.labelid=s.labelid\nAND ts.subaccountid=s.subaccountid\nAND ts.artistid=s.artistid\nAND ts.isrc=s.isrc\nAND ts.track_name=s.track_name\nAND ts.storeid=s.storeid\nINNER JOIN (SELECT\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) AS row_number\nFROM {{ ref('base_ar_track') }} t\nINNER JOIN (SELECT * FROM {{ ref('base_ar_releases') }} WHERE distribution_format_id IN (1,57)\nAND release_date > DATEADD(year,-1, CURRENT_DATE())) r ON r.upc=t.upc) u ON u.isrc=ts.isrc\nWHERE spike_score > 1\nAND u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_spikes", "weekly_spikes_japan"], "unique_id": "model.my_new_project.weekly_spikes_japan", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_japan.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_spikes/weekly_spikes_japan.sql", "name": "weekly_spikes_japan", "alias": "weekly_spikes_japan", "checksum": {"name": "sha256", "checksum": "36b794071c19e740d52d629df871b1166034c4dbe78b14c07b2592cea450b8d8"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.606016}, "model.my_new_project.tiktok_trending_tracks_log_stats": {"raw_sql": "with log_rank as (\nselect\n tl.isrc,\n tl.territory,\n tl.report_date,\n rank() over(partition by tl.isrc, tl.territory order by report_date desc) as log_rank,\n max(tl.report_date) over (partition by tl.isrc, tl.territory) as max_report_date,\n min(tl.report_date) over (partition by tl.isrc, tl.territory) as min_report_date\nfrom {{ref('tiktok_trending_tracks_log')}} tl\ngroup by 1,2,3\n),\n\nsecond_oldest_log as (\nselect\n lr.isrc,\n lr.territory,\n lr.report_date\nfrom log_rank lr\nwhere log_rank = 2 \n)\n\nselect distinct\nlr.isrc,\nlr.territory,\nlr.max_report_date as newest_report_date,\nsol.report_date as second_newest_report_date,\nlr.min_report_date as oldest_report_date\n\nfrom log_rank lr\nleft join second_oldest_log sol on lr.isrc = sol.isrc and lr.territory = sol.territory", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.tiktok_trending_tracks_log"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "tiktok_trending_tracks", "tiktok_trending_tracks_log_stats"], "unique_id": "model.my_new_project.tiktok_trending_tracks_log_stats", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/tiktok_trending_tracks/tiktok_trending_tracks_log_stats.sql", "original_file_path": "models/bi_analytics/trending_tracks/tiktok_trending_tracks/tiktok_trending_tracks_log_stats.sql", "name": "tiktok_trending_tracks_log_stats", "alias": "tiktok_trending_tracks_log_stats", "checksum": {"name": "sha256", "checksum": "b4a12a967674aa78be9a787afb74695f330220f9a321921b66faa519801eb1df"}, "tags": [], "refs": [["tiktok_trending_tracks_log"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.6095517}, "model.my_new_project.tiktok_trending_tracks": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_creations as (\n select\n t.labelid,\n dc.countryname as label_country,\n t.isrc,\n t.song_title as track_name,\n t.artist as artist_name,\n t.territory,\n sum(t.creations) as current_week_creations,\n sum(t.video_views) as current_week_video_views,\n sum(t.comments) as current_week_comments,\n sum(t.likes) as current_week_likes,\n sum(t.shares) as current_week_shares,\n sum(t.favorites) as current_week_favorites,\n ((sum(t.comments)*0.5)+(sum(t.likes)*0.3)+(sum(t.video_views)*0.2)) as current_week_engagement_score\n\n from {{ ref('base_stg_raw_tiktok') }} t\n inner join {{ ref('base_dim_label') }} dl on t.labelid = dl.labelid\n inner join {{ ref('base_dim_country') }} dc on dl.countryid = dc.countryid\n\n where t.date between current_date()-7 AND current_date()-1\n --nd t.territory = 'GB'\n\n group by 1,2,3,4,5,6\n having current_week_creations > 500\n\n),\n\nprevious_9_week_creations as (\n select\n t.labelid,\n dc.countryname as label_country,\n t.isrc,\n t.song_title as track_name,\n t.artist as artist_name,\n t.territory,\n date_trunc('week', date) as week,\n sum(t.creations) as previous_creations,\n sum(t.video_views) as previous_video_views,\n sum(t.comments) as previous_comments,\n sum(t.likes) as previous_likes,\n sum(t.shares) as previous_shares,\n sum(t.favorites) as previous_favorites,\n ((sum(t.comments)*0.5)+(sum(t.likes)*0.3)+(sum(t.video_views)*0.2)) as previous_engagement_score\n\n from {{ ref('base_stg_raw_tiktok') }} t\n inner join {{ ref('base_dim_label') }} dl on t.labelid = dl.labelid\n inner join {{ ref('base_dim_country') }} dc on dl.countryid = dc.countryid\n \n\n where t.date between current_date()-71 AND current_date()-8\n --and t.territory = 'GB'\n\n group by 1,2,3,4,5,6,7\n\n),\n\nstats as ( select\n p.labelid,\n p.label_country,\n p.isrc,\n case \n when datediff('week', u.release_date, current_date) >= 9 then 9\n when datediff('week', u.release_date, current_date) <= 0 then null\n else datediff('week', u.release_date, current_date)\n end\n as weeks_since_release,\n p.track_name,\n p.artist_name,\n p.territory,\n avg(p.previous_creations) as avg_creations,\n stddev(p.previous_creations) as stddev_creations,\n avg(p.previous_video_views) as avg_video_views,\n stddev(p.previous_video_views) as stddev_video_views,\n avg(p.previous_comments) as avg_comments,\n stddev(p.previous_comments) as stddev_comments,\n avg(p.previous_likes) as avg_likes,\n stddev(p.previous_likes) as stddev_likes,\n avg(p.previous_shares) as avg_shares,\n stddev(p.previous_shares) as stddev_shares,\n avg(p.previous_favorites) as avg_favorites,\n stddev(p.previous_favorites) as stddev_favorites,\n avg(p.previous_engagement_score) as avg_engagement_score,\n stddev(p.previous_engagement_score) as stddev_engagement_score\n\nfrom previous_9_week_creations p\ninner join (select\n t.upc,\n r.release_date,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\n \n from {{ ref('base_ar_track') }} t\n inner join (\n select * \n from {{ ref('base_ar_releases') }}\n where distribution_format_id IN (1,57)\n \n --and release_date < dateadd(days,-150,current_date())\n ) r -- looks at releases atleast 5 months old\n on r.upc=t.upc\n order by r.release_date asc\n) u on u.isrc=p.isrc \nwhere row_number = 1 -- selects oldest release date for tracks on multiple UPCs\ngroup by 1,2,3,4,5,6,7\n\n)\n\nselect\n case \n when current_date() = ls.oldest_report_date then 'New Entry'\n when current_date() = ls.newest_report_date and datediff(month,current_date(),ls.second_newest_report_date) >= 5 then 'Re-Entry'\n else null\n end as new_entry_flag,\n current_date() as report_date,\n ls.oldest_report_date,\n ls.newest_report_date,\n ls.second_newest_report_date,\n cs.labelid,\n cs.label_country,\n cs.territory,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_creations,\n s.avg_creations as avg_creations,\n ((cs.current_week_creations - s.avg_creations) / (nullif(s.avg_creations,0)) * 100) as percent_above_avg_creations,\n s.stddev_creations as standard_deviation_creations,\n (cs.current_week_creations - s.avg_creations) / (nullif(standard_deviation_creations,0) / SQRT(s.weeks_since_release)) as spike_score_creations, -- uses T Score instead of Z score\n\n cs.current_week_video_views,\n s.avg_video_views as avg_video_views,\n ((cs.current_week_video_views - s.avg_video_views) / (nullif(s.avg_video_views,0)) * 100) as percent_above_avg_video_views,\n s.stddev_video_views as standard_deviation_video_views,\n (cs.current_week_video_views - s.avg_video_views) / (nullif(standard_deviation_video_views,0) / SQRT(s.weeks_since_release)) as spike_score_video_views, -- uses T Score instead of Z score\n\n cs.current_week_comments,\n s.avg_comments as avg_comments,\n ((cs.current_week_comments - s.avg_comments) / (nullif(s.avg_comments,0)) * 100) as percent_above_avg_comments,\n s.stddev_comments as standard_deviation_comments,\n (cs.current_week_comments - s.avg_comments) / (nullif(standard_deviation_comments,0) / SQRT(s.weeks_since_release)) as spike_score_comments, -- uses T Score instead of Z score\n \n cs.current_week_likes,\n s.avg_likes as avg_likes,\n ((cs.current_week_likes - s.avg_likes) / (nullif(s.avg_likes,0)) * 100) as percent_above_avg_likes,\n s.stddev_likes as standard_deviation_likes,\n (cs.current_week_likes - s.avg_likes) / (nullif(standard_deviation_likes,0) / SQRT(s.weeks_since_release)) as spike_score_likes, -- uses T Score instead of Z score\n \n cs.current_week_shares,\n s.avg_shares as avg_shares,\n ((cs.current_week_shares - s.avg_shares) / (nullif(s.avg_shares,0)) * 100) as percent_above_avg_shares,\n s.stddev_shares as standard_deviation_shares,\n (cs.current_week_shares - s.avg_shares) / (nullif(standard_deviation_shares,0) / SQRT(s.weeks_since_release)) as spike_score_shares, -- uses T Score instead of Z score\n \n cs.current_week_favorites,\n s.avg_favorites as avg_favorites,\n ((cs.current_week_favorites - s.avg_favorites) / (nullif(s.avg_favorites,0)) * 100) as percent_above_avg_favorites,\n s.stddev_favorites as standard_deviation_favorites,\n (cs.current_week_favorites - s.avg_favorites) / (nullif(standard_deviation_favorites,0) / SQRT(s.weeks_since_release)) as spike_score_favorites, -- uses T Score instead of Z score\n\n cs.current_week_engagement_score,\n s.avg_engagement_score as avg_engagement_score,\n ((cs.current_week_engagement_score - s.avg_engagement_score) / (nullif(s.avg_engagement_score,0)) * 100) as percent_above_avg_engagement_score,\n s.stddev_engagement_score as standard_deviation_engagement_score,\n (cs.current_week_engagement_score - s.avg_engagement_score) / (nullif(standard_deviation_engagement_score,0) / SQRT(s.weeks_since_release)) as spike_score_engagement_score -- uses T Score instead of Z score\n\n\nfrom current_week_creations cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.territory = s.territory\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n) u on u.isrc=cs.isrc\n\nleft join {{ ref('tiktok_trending_tracks_log_stats')}} ls on cs.isrc = ls.isrc and cs.territory = ls.territory --join for new entry / re-entry flag\n\nwhere (\n spike_score_creations > 1\n or\n spike_score_video_views > 1\n or\n spike_score_engagement_score > 1\n )\nand u.row_number = 1\ngroup by 2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47 -- added group by due to inclusion of aggregates in select statement", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_stg_raw_tiktok", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_stg_raw_tiktok", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_track", "model.my_new_project.tiktok_trending_tracks_log_stats"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "tiktok_trending_tracks", "tiktok_trending_tracks"], "unique_id": "model.my_new_project.tiktok_trending_tracks", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/tiktok_trending_tracks/tiktok_trending_tracks.sql", "original_file_path": "models/bi_analytics/trending_tracks/tiktok_trending_tracks/tiktok_trending_tracks.sql", "name": "tiktok_trending_tracks", "alias": "tiktok_trending_tracks", "checksum": {"name": "sha256", "checksum": "0b290824dfbe4229084f217e619e3e2e7b1e4c0b1f71d7f540fc5db9e1a52a4e"}, "tags": [], "refs": [["base_stg_raw_tiktok"], ["base_dim_label"], ["base_dim_country"], ["base_stg_raw_tiktok"], ["base_dim_label"], ["base_dim_country"], ["base_ar_track"], ["base_ar_releases"], ["base_ar_track"], ["tiktok_trending_tracks_log_stats"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.6127963}, "model.my_new_project.tiktok_trending_tracks_log": {"raw_sql": "{{\nconfig(\n materialized = 'incremental',\n incremental_strategy = 'delete+insert',\n unique_key = 'report_date'\n)\n}}\n\nwith current_week_creations as (\n select\n t.labelid,\n dc.countryname as label_country,\n t.isrc,\n t.song_title as track_name,\n t.artist as artist_name,\n t.territory,\n sum(t.creations) as current_week_creations,\n sum(t.video_views) as current_week_video_views,\n sum(t.comments) as current_week_comments,\n sum(t.likes) as current_week_likes,\n sum(t.shares) as current_week_shares,\n sum(t.favorites) as current_week_favorites,\n ((sum(t.comments)*0.5)+(sum(t.likes)*0.3)+(sum(t.video_views)*0.2)) as current_week_engagement_score\n\n from {{ ref('base_stg_raw_tiktok') }} t\n inner join {{ ref('base_dim_label') }} dl on t.labelid = dl.labelid\n inner join {{ ref('base_dim_country') }} dc on dl.countryid = dc.countryid\n\n where t.date between current_date()-7 AND current_date()-1\n --nd t.territory = 'GB'\n\n group by 1,2,3,4,5,6\n having current_week_creations > 500\n\n),\n\nprevious_9_week_creations as (\n select\n t.labelid,\n dc.countryname as label_country,\n t.isrc,\n t.song_title as track_name,\n t.artist as artist_name,\n t.territory,\n date_trunc('week', date) as week,\n sum(t.creations) as previous_creations,\n sum(t.video_views) as previous_video_views,\n sum(t.comments) as previous_comments,\n sum(t.likes) as previous_likes,\n sum(t.shares) as previous_shares,\n sum(t.favorites) as previous_favorites,\n ((sum(t.comments)*0.5)+(sum(t.likes)*0.3)+(sum(t.video_views)*0.2)) as previous_engagement_score\n\n from {{ ref('base_stg_raw_tiktok') }} t\n inner join {{ ref('base_dim_label') }} dl on t.labelid = dl.labelid\n inner join {{ ref('base_dim_country') }} dc on dl.countryid = dc.countryid\n \n\n where t.date between current_date()-71 AND current_date()-8\n --and t.territory = 'GB'\n\n group by 1,2,3,4,5,6,7\n\n),\n\nstats as ( select\n p.labelid,\n p.label_country,\n p.isrc,\n case \n when datediff('week', u.release_date, current_date) >= 9 then 9\n when datediff('week', u.release_date, current_date) <= 0 then null\n else datediff('week', u.release_date, current_date)\n end\n as weeks_since_release,\n p.track_name,\n p.artist_name,\n p.territory,\n avg(p.previous_creations) as avg_creations,\n stddev(p.previous_creations) as stddev_creations,\n avg(p.previous_video_views) as avg_video_views,\n stddev(p.previous_video_views) as stddev_video_views,\n avg(p.previous_comments) as avg_comments,\n stddev(p.previous_comments) as stddev_comments,\n avg(p.previous_likes) as avg_likes,\n stddev(p.previous_likes) as stddev_likes,\n avg(p.previous_shares) as avg_shares,\n stddev(p.previous_shares) as stddev_shares,\n avg(p.previous_favorites) as avg_favorites,\n stddev(p.previous_favorites) as stddev_favorites,\n avg(p.previous_engagement_score) as avg_engagement_score,\n stddev(p.previous_engagement_score) as stddev_engagement_score\n\nfrom previous_9_week_creations p\ninner join (select\n t.upc,\n r.release_date,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\n \n from {{ ref('base_ar_track') }} t\n inner join (\n select * \n from {{ ref('base_ar_releases') }}\n where distribution_format_id IN (1,57)\n \n --and release_date < dateadd(days,-150,current_date())\n ) r -- looks at releases atleast 5 months old\n on r.upc=t.upc\n order by r.release_date asc\n) u on u.isrc=p.isrc \nwhere row_number = 1 -- selects oldest release date for tracks on multiple UPCs\ngroup by 1,2,3,4,5,6,7\n\n)\n\nselect\n current_date() as report_date,\n cs.labelid,\n cs.label_country,\n cs.territory,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_creations,\n s.avg_creations as avg_creations,\n ((cs.current_week_creations - s.avg_creations) / (nullif(s.avg_creations,0)) * 100) as percent_above_avg_creations,\n s.stddev_creations as standard_deviation_creations,\n (cs.current_week_creations - s.avg_creations) / (nullif(standard_deviation_creations,0) / SQRT(s.weeks_since_release)) as spike_score_creations, -- uses T Score instead of Z score\n\n cs.current_week_video_views,\n s.avg_video_views as avg_video_views,\n ((cs.current_week_video_views - s.avg_video_views) / (nullif(s.avg_video_views,0)) * 100) as percent_above_avg_video_views,\n s.stddev_video_views as standard_deviation_video_views,\n (cs.current_week_video_views - s.avg_video_views) / (nullif(standard_deviation_video_views,0) / SQRT(s.weeks_since_release)) as spike_score_video_views, -- uses T Score instead of Z score\n\n cs.current_week_comments,\n s.avg_comments as avg_comments,\n ((cs.current_week_comments - s.avg_comments) / (nullif(s.avg_comments,0)) * 100) as percent_above_avg_comments,\n s.stddev_comments as standard_deviation_comments,\n (cs.current_week_comments - s.avg_comments) / (nullif(standard_deviation_comments,0) / SQRT(s.weeks_since_release)) as spike_score_comments, -- uses T Score instead of Z score\n \n cs.current_week_likes,\n s.avg_likes as avg_likes,\n ((cs.current_week_likes - s.avg_likes) / (nullif(s.avg_likes,0)) * 100) as percent_above_avg_likes,\n s.stddev_likes as standard_deviation_likes,\n (cs.current_week_likes - s.avg_likes) / (nullif(standard_deviation_likes,0) / SQRT(s.weeks_since_release)) as spike_score_likes, -- uses T Score instead of Z score\n \n cs.current_week_shares,\n s.avg_shares as avg_shares,\n ((cs.current_week_shares - s.avg_shares) / (nullif(s.avg_shares,0)) * 100) as percent_above_avg_shares,\n s.stddev_shares as standard_deviation_shares,\n (cs.current_week_shares - s.avg_shares) / (nullif(standard_deviation_shares,0) / SQRT(s.weeks_since_release)) as spike_score_shares, -- uses T Score instead of Z score\n \n cs.current_week_favorites,\n s.avg_favorites as avg_favorites,\n ((cs.current_week_favorites - s.avg_favorites) / (nullif(s.avg_favorites,0)) * 100) as percent_above_avg_favorites,\n s.stddev_favorites as standard_deviation_favorites,\n (cs.current_week_favorites - s.avg_favorites) / (nullif(standard_deviation_favorites,0) / SQRT(s.weeks_since_release)) as spike_score_favorites, -- uses T Score instead of Z score\n\n cs.current_week_engagement_score,\n s.avg_engagement_score as avg_engagement_score,\n ((cs.current_week_engagement_score - s.avg_engagement_score) / (nullif(s.avg_engagement_score,0)) * 100) as percent_above_avg_engagement_score,\n s.stddev_engagement_score as standard_deviation_engagement_score,\n (cs.current_week_engagement_score - s.avg_engagement_score) / (nullif(standard_deviation_engagement_score,0) / SQRT(s.weeks_since_release)) as spike_score_engagement_score -- uses T Score instead of Z score\n\n\nfrom current_week_creations cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.territory = s.territory\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n) u on u.isrc=cs.isrc \n\nwhere (\n spike_score_creations > 1\n or\n spike_score_video_views > 1\n or\n spike_score_engagement_score > 1\n )\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_stg_raw_tiktok", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_stg_raw_tiktok", "model.my_new_project.base_dim_label", "model.my_new_project.base_dim_country", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "report_date", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "tiktok_trending_tracks", "tiktok_trending_tracks_log"], "unique_id": "model.my_new_project.tiktok_trending_tracks_log", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/tiktok_trending_tracks/tiktok_trending_tracks_log.sql", "original_file_path": "models/bi_analytics/trending_tracks/tiktok_trending_tracks/tiktok_trending_tracks_log.sql", "name": "tiktok_trending_tracks_log", "alias": "tiktok_trending_tracks_log", "checksum": {"name": "sha256", "checksum": "eec5a9e6f580954a8250140c6ff5d049a3e49b1435a7430b2ef4263fbb9fb7f5"}, "tags": [], "refs": [["base_stg_raw_tiktok"], ["base_dim_label"], ["base_dim_country"], ["base_stg_raw_tiktok"], ["base_dim_label"], ["base_dim_country"], ["base_ar_track"], ["base_ar_releases"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "incremental_strategy": "delete+insert", "unique_key": "report_date"}, "created_at": 1660067940.6249425}, "model.my_new_project.weekly_trending_tracks_amazon_long_tail": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_month_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_month_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-29 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_month_streams > 30000\n\n),\n\nprevious_4_week_streams_interval_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n case\n when (s.download_activity_date between current_date()-57 AND current_date()-30) then 'previous_streams_1'\n when (s.download_activity_date between current_date()-85 AND current_date()-58) then 'previous_streams_2'\n when (s.download_activity_date between current_date()-113 AND current_date()-86) then 'previous_streams_3'\n when (s.download_activity_date between current_date()-141 AND current_date()-114) then 'previous_streams_4'\n else null\n end as months,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-141 AND current_date()-30\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n country_code,\n label_id,\n isrc_track_number,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_4_week_streams_interval_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.country_code,\n cs.label_id,\n cs.isrc_track_number,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_month_streams,\n s.avg_streams as avg_streams,\n ((cs.current_month_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_month_streams - s.avg_streams) / (nullif(standard_deviation,0) / SQRT(9)) as spike_score -- Using T Score\n\n \n\nfrom current_month_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc_track_number = s.isrc_track_number\n and cs.track_name = s.track_name\n and cs.country_code = s.country_code\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\ninner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\nand release_date < dateadd(days,-150,current_date())) r -- looks at releases atleast 5 months old\non r.upc=t.upc\n) u on u.isrc=cs.isrc_track_number \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_amazon", "weekly_trending_tracks_amazon_long_tail"], "unique_id": "model.my_new_project.weekly_trending_tracks_amazon_long_tail", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_long_tail.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_long_tail.sql", "name": "weekly_trending_tracks_amazon_long_tail", "alias": "weekly_trending_tracks_amazon_long_tail", "checksum": {"name": "sha256", "checksum": "9febbcb668b76b22079de981c0c6640f77c63b24a3ca17637890380bb930f987"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.630093}, "model.my_new_project.weekly_trending_tracks_amazon_lean_fwd_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-8 AND current_date()-2\n and s.selection_source_type IN ('ALBUM', 'ARTIST')\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 1000\n\n),\n\nprevious_9_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-72 AND current_date()-9\n and s.selection_source_type IN ('ALBUM', 'ARTIST')\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n country_code,\n label_id,\n isrc_track_number,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.country_code,\n cs.label_id,\n cs.isrc_track_number,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0) / SQRT(9)) as spike_score -- Using T Score\n\n \n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc_track_number = s.isrc_track_number\n and cs.track_name = s.track_name\n and cs.country_code = s.country_code\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc_track_number \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_amazon", "weekly_trending_tracks_amazon_lean_fwd_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_amazon_lean_fwd_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_lean_fwd_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_lean_fwd_streams.sql", "name": "weekly_trending_tracks_amazon_lean_fwd_streams", "alias": "weekly_trending_tracks_amazon_lean_fwd_streams", "checksum": {"name": "sha256", "checksum": "8798a2688ebd9299ee7f661c72aedae6eb8a765936081247c8f56de764954967"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.6403263}, "model.my_new_project.weekly_trending_tracks_amazon_user_playlist_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-8 AND current_date()-2\n and s.selection_source_type = 'USER_PLAYLIST'\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 500\n\n),\n\nprevious_9_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-72 AND current_date()-9\n and s.selection_source_type = 'USER_PLAYLIST'\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n country_code,\n label_id,\n isrc_track_number,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.country_code,\n cs.label_id,\n cs.isrc_track_number,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0) / SQRT(9)) as spike_score -- Using T Score\n\n \n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc_track_number = s.isrc_track_number\n and cs.track_name = s.track_name\n and cs.country_code = s.country_code\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc_track_number \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_amazon", "weekly_trending_tracks_amazon_user_playlist_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_amazon_user_playlist_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_user_playlist_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_user_playlist_streams.sql", "name": "weekly_trending_tracks_amazon_user_playlist_streams", "alias": "weekly_trending_tracks_amazon_user_playlist_streams", "checksum": {"name": "sha256", "checksum": "16b509387acc4af048ebefbad8d627ad848fbb996e760082f59c94d98033e4e8"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.650994}, "model.my_new_project.weekly_trending_tracks_amazon": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 10000\n\n),\n\nprevious_9_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-72 AND current_date()-9\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n country_code,\n label_id,\n isrc_track_number,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.country_code,\n cs.label_id,\n cs.isrc_track_number,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0) / SQRT(9)) as spike_score -- Using T Score\n\n \n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc_track_number = s.isrc_track_number\n and cs.track_name = s.track_name\n and cs.country_code = s.country_code\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc_track_number \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_amazon", "weekly_trending_tracks_amazon"], "unique_id": "model.my_new_project.weekly_trending_tracks_amazon", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon.sql", "name": "weekly_trending_tracks_amazon", "alias": "weekly_trending_tracks_amazon", "checksum": {"name": "sha256", "checksum": "72654f50f7941543bf121f2fcf537fe52e7a8ff9ac52aec6c2ed069790d6bfa3"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.6623034}, "model.my_new_project.weekly_trending_tracks_amazon_collection_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-8 AND current_date()-2\n and s.selection_source_type = 'SONGS'\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 2000\n\n),\n\nprevious_9_week_streams as (\n select\n s.country_code,\n s.label_id,\n s.isrc_track_number,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_amazon_aggregated') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc_track_number = t.isrc and s.upc_code = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc_code = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_activity_date between current_date()-72 AND current_date()-9\n and s.selection_source_type = 'SONGS'\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n country_code,\n label_id,\n isrc_track_number,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.country_code,\n cs.label_id,\n cs.isrc_track_number,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0) / SQRT(9)) as spike_score -- Using T Score\n\n \n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc_track_number = s.isrc_track_number\n and cs.track_name = s.track_name\n and cs.country_code = s.country_code\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc_track_number \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_amazon", "weekly_trending_tracks_amazon_collection_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_amazon_collection_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_collection_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_amazon/weekly_trending_tracks_amazon_collection_streams.sql", "name": "weekly_trending_tracks_amazon_collection_streams", "alias": "weekly_trending_tracks_amazon_collection_streams", "checksum": {"name": "sha256", "checksum": "443c340d339c418f7d3bdb0909b8de46d5279d2fe4702fc0017b98f752ccbc00"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_amazon_aggregated"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.6734834}, "model.my_new_project.stg_fraud_flags_trending_tracks": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect \n f.track_name as track_name,\n f.artist_name as artist_name, \n f.isrc as isrc,\n f.genre_name as genre,\n f.label_id as label_id,\n\n count(distinct(f.user_id)) as user_count,\n coalesce(sum(f.streams),0) as streams\n\nfrom {{ ref('fraudulent_streams_flags_spotify') }} f\n\nwhere f.genre_name != 'New Age'\nand label_id != 30082\n\n\n\ngroup by 5,4,3,2,1\n\nhaving coalesce(sum(streams),0) >= 20000\n\norder by 7,6", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.fraudulent_streams_flags_spotify"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "stg_fraud_flags_trending_tracks"], "unique_id": "model.my_new_project.stg_fraud_flags_trending_tracks", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/stg_fraud_flags_trending_tracks.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/stg_fraud_flags_trending_tracks.sql", "name": "stg_fraud_flags_trending_tracks", "alias": "stg_fraud_flags_trending_tracks", "checksum": {"name": "sha256", "checksum": "246ae54b71f3a7711dc0d869f94cad420af69eaa6faa453be61ad9adde2f280b"}, "tags": [], "refs": [["fraudulent_streams_flags_spotify"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.6859171}, "model.my_new_project.weekly_trending_tracks_spotify": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 5000\n\n),\n\nglobal_streams as (\n select\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4\n having current_week_streams > 5000\n),\n\n\nprevious_9_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-72 AND current_date()-9\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score,\n\n case\n when f.streams >= 20000 then 'Yes'\n when sf.user_playlist_stream_pct is not null then 'Yes'\n else null\n end as fraud_flag,\n \n gs.current_week_streams as global_track_streams,\n f.streams as potential_fraudulent_stream_count_global, \n sf.current_week_streams_user_playlist,\n sf.user_playlist_stream_pct as user_playlist_stream_pct\n\nfrom current_week_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n\ninner join global_streams gs \n on cs.labelid = gs.labelid\n and cs.artist_name = gs.artist_name\n and cs.isrc = gs.isrc\n and cs.track_name = gs.track_name\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nleft join {{ ref('stg_fraud_flags_trending_tracks') }} f on cs.isrc = f.isrc and cs.labelid = f.label_id\nleft join {{ ref('stg_sos_fraud_spike_over_500_pct') }} sf on cs.isrc = sf.isrc and cs.labelid = sf.labelid and cs.user_country_code = sf.user_country_code\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.stg_fraud_flags_trending_tracks", "model.my_new_project.stg_sos_fraud_spike_over_500_pct"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "weekly_trending_tracks_spotify"], "unique_id": "model.my_new_project.weekly_trending_tracks_spotify", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify.sql", "name": "weekly_trending_tracks_spotify", "alias": "weekly_trending_tracks_spotify", "checksum": {"name": "sha256", "checksum": "aaf28cdb7a538985ad304d91b168553d18fe038e3cf7853d624cace7b6b9cfae"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"], ["stg_fraud_flags_trending_tracks"], ["stg_sos_fraud_spike_over_500_pct"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.6939692}, "model.my_new_project.weekly_trending_tracks_spotify_lean_fwd_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n and s.spotify_source IN ('album', 'artist', 'search', 'play_queue')\n\n group by 1,2,3,4,5\n having current_week_streams > 4000\n\n),\n\nglobal_streams as (\n select\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4\n having current_week_streams > 4000\n),\n\nprevious_9_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-72 AND current_date()-9\n --and s.user_country_code = 'GB'\n and s.spotify_source IN ('album', 'artist', 'search', 'play_queue')\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score,\n\n case\n when f.streams >= 20000 then 'Yes'\n when sf.user_playlist_stream_pct is not null then 'Yes'\n else null\n end as fraud_flag,\n \n gs.current_week_streams as global_track_streams,\n f.streams as potential_fraudulent_stream_count_global, \n sf.current_week_streams_user_playlist,\n sf.user_playlist_stream_pct as user_playlist_stream_pct\n\nfrom current_week_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n\ninner join global_streams gs \n on cs.labelid = gs.labelid\n and cs.artist_name = gs.artist_name\n and cs.isrc = gs.isrc\n and cs.track_name = gs.track_name\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nleft join {{ ref('stg_fraud_flags_trending_tracks') }} f on cs.isrc = f.isrc and cs.labelid = f.label_id\nleft join {{ ref('stg_sos_fraud_spike_over_500_pct') }} sf on cs.isrc = sf.isrc and cs.labelid = sf.labelid and cs.user_country_code = sf.user_country_code\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.stg_fraud_flags_trending_tracks", "model.my_new_project.stg_sos_fraud_spike_over_500_pct"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "weekly_trending_tracks_spotify_lean_fwd_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_spotify_lean_fwd_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_lean_fwd_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_lean_fwd_streams.sql", "name": "weekly_trending_tracks_spotify_lean_fwd_streams", "alias": "weekly_trending_tracks_spotify_lean_fwd_streams", "checksum": {"name": "sha256", "checksum": "a9add12ad46d86dce1af50042cd4f3ceec6a76d601ec832947a501153fec817c"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"], ["stg_fraud_flags_trending_tracks"], ["stg_sos_fraud_spike_over_500_pct"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7075582}, "model.my_new_project.stg_fraud_flags_trending_tracks_long_tail": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect \n f.track_name as track_name,\n f.artist_name as artist_name, \n f.isrc as isrc,\n f.genre_name as genre,\n f.label_id as label_id,\n\n count(distinct(f.user_id)) as user_count,\n coalesce(sum(f.streams),0) as streams\n\nfrom {{ ref('fraudulent_streams_flag_spotify_long_tail') }} f\n\nwhere f.genre_name != 'New Age'\nand label_id != 30082\n\n\n\ngroup by 5,4,3,2,1\n\nhaving coalesce(sum(streams),0) >= 80000\n\norder by 7,6", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.fraudulent_streams_flag_spotify_long_tail"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "stg_fraud_flags_trending_tracks_long_tail"], "unique_id": "model.my_new_project.stg_fraud_flags_trending_tracks_long_tail", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/stg_fraud_flags_trending_tracks_long_tail.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/stg_fraud_flags_trending_tracks_long_tail.sql", "name": "stg_fraud_flags_trending_tracks_long_tail", "alias": "stg_fraud_flags_trending_tracks_long_tail", "checksum": {"name": "sha256", "checksum": "b475f08b5b1acf8564091791b99d1ad346a09c448522e6eeb785fa970ebc372f"}, "tags": [], "refs": [["fraudulent_streams_flag_spotify_long_tail"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.721662}, "model.my_new_project.weekly_trending_tracks_spotify_collection_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n and s.spotify_source = 'collection'\n\n group by 1,2,3,4,5\n having current_week_streams > 5000\n\n),\n\nglobal_streams as (\n select\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4\n having current_week_streams > 5000\n),\n\nprevious_9_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-72 AND current_date()-9\n --and s.user_country_code = 'GB'\n and s.spotify_source = 'collection'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score,\n\n case\n when f.streams >= 20000 then 'Yes'\n when sf.user_playlist_stream_pct is not null then 'Yes'\n else null\n end as fraud_flag,\n \n gs.current_week_streams as global_track_streams,\n f.streams as potential_fraudulent_stream_count_global, \n sf.current_week_streams_user_playlist,\n sf.user_playlist_stream_pct as user_playlist_stream_pct\n\nfrom current_week_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n\ninner join global_streams gs \n on cs.labelid = gs.labelid\n and cs.artist_name = gs.artist_name\n and cs.isrc = gs.isrc\n and cs.track_name = gs.track_name\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nleft join {{ ref('stg_fraud_flags_trending_tracks') }} f on cs.isrc = f.isrc and cs.labelid = f.label_id\nleft join {{ ref('stg_sos_fraud_spike_over_500_pct') }} sf on cs.isrc = sf.isrc and cs.labelid = sf.labelid and cs.user_country_code = sf.user_country_code\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.stg_fraud_flags_trending_tracks", "model.my_new_project.stg_sos_fraud_spike_over_500_pct"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "weekly_trending_tracks_spotify_collection_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_spotify_collection_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_collection_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_collection_streams.sql", "name": "weekly_trending_tracks_spotify_collection_streams", "alias": "weekly_trending_tracks_spotify_collection_streams", "checksum": {"name": "sha256", "checksum": "4f2dad2d73b811fa2265457e43c5dca39afc80d20721af57b4f4e49e3b825aad"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"], ["stg_fraud_flags_trending_tracks"], ["stg_sos_fraud_spike_over_500_pct"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7345204}, "model.my_new_project.weekly_trending_tracks_spotify_long_tail": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_month_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_month_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-29 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_month_streams > 100000\n\n),\n\nglobal_streams as (\n select\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-29 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4\n having current_week_streams > 100000\n),\n\nprevious_4_week_streams_interval_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n case\n when (s.activity_date between current_date()-57 AND current_date()-30) then 'previous_streams_1'\n when (s.activity_date between current_date()-85 AND current_date()-58) then 'previous_streams_2'\n when (s.activity_date between current_date()-113 AND current_date()-86) then 'previous_streams_3'\n when (s.activity_date between current_date()-141 AND current_date()-114) then 'previous_streams_4'\n else null\n end as months,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where \n (s.activity_date between current_date()-141 AND current_date()-30)\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_4_week_streams_interval_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_month_streams,\n s.avg_streams as avg_streams,\n ((cs.current_month_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_month_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score, \n\n case\n when f.streams >= 20000 then 'Yes'\n when sf.user_playlist_stream_pct is not null then 'Yes'\n else null\n end as fraud_flag,\n \n gs.current_week_streams as global_track_streams,\n f.streams as potential_fraudulent_stream_count_global, \n sf.current_month_streams_user_playlist,\n sf.user_playlist_stream_pct as user_playlist_stream_pct\n\nfrom current_month_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n\ninner join global_streams gs \n on cs.labelid = gs.labelid\n and cs.artist_name = gs.artist_name\n and cs.isrc = gs.isrc\n and cs.track_name = gs.track_name\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\ninner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\nand release_date < dateadd(days,-150,current_date())) r -- looks at releases atleast 5 months old\non r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nleft join {{ ref('stg_fraud_flags_trending_tracks_long_tail') }} f on cs.isrc = f.isrc and cs.labelid = f.label_id\nleft join {{ ref('stg_sos_fraud_spike_over_500_pct_long_tail') }} sf on cs.isrc = sf.isrc and cs.labelid = sf.labelid and cs.user_country_code = sf.user_country_code\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.stg_fraud_flags_trending_tracks_long_tail", "model.my_new_project.stg_sos_fraud_spike_over_500_pct_long_tail"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "weekly_trending_tracks_spotify_long_tail"], "unique_id": "model.my_new_project.weekly_trending_tracks_spotify_long_tail", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_long_tail.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_long_tail.sql", "name": "weekly_trending_tracks_spotify_long_tail", "alias": "weekly_trending_tracks_spotify_long_tail", "checksum": {"name": "sha256", "checksum": "4d8e6a38cafa07c7d791b118127e4516a8fb81d9978e30eaf766866c59b0517c"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"], ["stg_fraud_flags_trending_tracks_long_tail"], ["stg_sos_fraud_spike_over_500_pct_long_tail"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7491055}, "model.my_new_project.weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-8 AND current_date()-2\n -- and s.user_country_code = 'GB'\n and s.spotify_source = 'others_playlist'\n and s.source_uri NOT IN ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and s.source_uri NOT LIKE 'yourTopSongs%'\n and s.source_uri NOT LIKE 'missedHits%'\n and s.source_uri NOT LIKE 'tastebreakers%'\n and s.source_uri NOT LIKE 'onRecord%'\n and not(contains(LOWER(p.playlistauthor), 'spotify'))\n\n\n group by 1,2,3,4,5\n having current_week_streams > 2000\n\n),\n\nglobal_streams as (\n select\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4\n having current_week_streams > 2000\n),\n\nprevious_9_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-72 AND current_date()-9\n -- and s.user_country_code = 'GB'\n and s.spotify_source = 'others_playlist'\n and s.source_uri NOT IN ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and s.source_uri NOT LIKE 'yourTopSongs%'\n and s.source_uri NOT LIKE 'missedHits%'\n and s.source_uri NOT LIKE 'tastebreakers%'\n and s.source_uri NOT LIKE 'onRecord%'\n and not(contains(LOWER(p.playlistauthor), 'spotify'))\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score,\n\n case\n when f.streams >= 20000 then 'Yes'\n when sf.user_playlist_stream_pct is not null then 'Yes'\n else null\n end as fraud_flag,\n \n gs.current_week_streams as global_track_streams,\n f.streams as potential_fraudulent_stream_count_global, \n sf.current_week_streams_user_playlist,\n sf.user_playlist_stream_pct as user_playlist_stream_pct\n\nfrom current_week_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n\ninner join global_streams gs \n on cs.labelid = gs.labelid\n and cs.artist_name = gs.artist_name\n and cs.isrc = gs.isrc\n and cs.track_name = gs.track_name\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nleft join {{ ref('stg_fraud_flags_trending_tracks') }} f on cs.isrc = f.isrc and cs.labelid = f.label_id\nleft join {{ ref('stg_sos_fraud_spike_over_500_pct') }} sf on cs.isrc = sf.isrc and cs.labelid = sf.labelid and cs.user_country_code = sf.user_country_code\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases", "model.my_new_project.stg_fraud_flags_trending_tracks", "model.my_new_project.stg_sos_fraud_spike_over_500_pct"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_spotify", "weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_spotify/weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams.sql", "name": "weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams", "alias": "weekly_trending_tracks_spotify_3rdparty_and_user_playlists_streams", "checksum": {"name": "sha256", "checksum": "04d4600b1e14ef93d671fbb43e13d87d779fe70f3642e65ee8aa4c507d13823c"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["base_ar_track"], ["base_ar_releases"], ["stg_fraud_flags_trending_tracks"], ["stg_sos_fraud_spike_over_500_pct"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7639713}, "model.my_new_project.weekly_trending_tracks_apple_search_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-8 AND current_date()-2\n and s.source_of_stream = 2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 2000\n\n),\n\n\n\nprevious_9_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-72 AND current_date()-9\n and s.source_of_stream = 2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n storefront_name,\n label_id,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.storefront_name as country_code,\n cs.label_id,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score\n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.storefront_name = s.storefront_name\n\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n\n) u on u.isrc=cs.isrc \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_apple", "weekly_trending_tracks_apple_search_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_apple_search_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_search_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_search_streams.sql", "name": "weekly_trending_tracks_apple_search_streams", "alias": "weekly_trending_tracks_apple_search_streams", "checksum": {"name": "sha256", "checksum": "b796a3888bcd98a00c0542f02c20a576e6ebee7c99a308f99914ab0da344c827"}, "tags": [], "refs": [["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7780383}, "model.my_new_project.weekly_trending_tracks_apple_long_tail": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_month_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_month_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-29 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_month_streams > 30000\n\n),\n\nprevious_4_week_streams_interval_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n case\n when (s.download_date between current_date()-57 AND current_date()-30) then 'previous_streams_1'\n when (s.download_date between current_date()-85 AND current_date()-58) then 'previous_streams_2'\n when (s.download_date between current_date()-113 AND current_date()-86) then 'previous_streams_3'\n when (s.download_date between current_date()-141 AND current_date()-114) then 'previous_streams_4'\n else null\n end as months,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-141 AND current_date()-30\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n storefront_name,\n label_id,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_4_week_streams_interval_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.storefront_name as country_code,\n cs.label_id,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_month_streams,\n s.avg_streams as avg_streams,\n ((cs.current_month_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_month_streams - s.avg_streams) / (nullif(standard_deviation,0) / SQRT(9)) as spike_score -- Using T Score\n\n \n\nfrom current_month_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.storefront_name = s.storefront_name\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\ninner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\nand release_date < dateadd(days,-150,current_date())) r -- looks at releases atleast 5 months old\non r.upc=t.upc\n) u on u.isrc=cs.isrc\n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_apple", "weekly_trending_tracks_apple_long_tail"], "unique_id": "model.my_new_project.weekly_trending_tracks_apple_long_tail", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_long_tail.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_long_tail.sql", "name": "weekly_trending_tracks_apple_long_tail", "alias": "weekly_trending_tracks_apple_long_tail", "checksum": {"name": "sha256", "checksum": "63453e8d6714050ffbda4dcd170d2f1bc02ed799900c9fb7d63a137120d3f765"}, "tags": [], "refs": [["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7886488}, "model.my_new_project.weekly_trending_tracks_apple_voice_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-8 AND current_date()-2\n and s.source_of_stream = 7\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 2000\n\n),\n\n\n\nprevious_9_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-72 AND current_date()-9\n and s.source_of_stream = 7\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n storefront_name,\n label_id,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.storefront_name as country_code,\n cs.label_id,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score\n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.storefront_name = s.storefront_name\n\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n\n) u on u.isrc=cs.isrc \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_apple", "weekly_trending_tracks_apple_voice_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_apple_voice_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_voice_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_voice_streams.sql", "name": "weekly_trending_tracks_apple_voice_streams", "alias": "weekly_trending_tracks_apple_voice_streams", "checksum": {"name": "sha256", "checksum": "c019dcaacba40a4e99413d98d74ebab57efe075e5e6536dd41d8c1d65b0947a7"}, "tags": [], "refs": [["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.7991652}, "model.my_new_project.weekly_trending_tracks_apple_library_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-8 AND current_date()-2\n and s.source_of_stream = 1\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 2000\n\n),\n\n\n\nprevious_9_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-72 AND current_date()-9\n and s.source_of_stream = 1\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n storefront_name,\n label_id,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.storefront_name as country_code,\n cs.label_id,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score\n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.storefront_name = s.storefront_name\n\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n\n) u on u.isrc=cs.isrc \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_apple", "weekly_trending_tracks_apple_library_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_apple_library_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_library_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_library_streams.sql", "name": "weekly_trending_tracks_apple_library_streams", "alias": "weekly_trending_tracks_apple_library_streams", "checksum": {"name": "sha256", "checksum": "51ab7534be998eba50bccad2c8d5103958f80a6dbb19e31cf35dc6f072a57dc0"}, "tags": [], "refs": [["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.809339}, "model.my_new_project.weekly_trending_tracks_apple": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 5000\n\n),\n\n\n\nprevious_9_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-72 AND current_date()-9\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n storefront_name,\n label_id,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.storefront_name as country_code,\n cs.label_id,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score\n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.storefront_name = s.storefront_name\n\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n\n) u on u.isrc=cs.isrc \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_apple", "weekly_trending_tracks_apple"], "unique_id": "model.my_new_project.weekly_trending_tracks_apple", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple.sql", "name": "weekly_trending_tracks_apple", "alias": "weekly_trending_tracks_apple", "checksum": {"name": "sha256", "checksum": "887251152809a99f1bf3fe33ef6d7e2662a6c7e348a333d8d2cc1267042307bc"}, "tags": [], "refs": [["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.820023}, "model.my_new_project.weekly_trending_tracks_apple_discovery_streams": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-8 AND current_date()-2\n and s.source_of_stream = 3\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5\n having current_week_streams > 2000\n\n),\n\n\n\nprevious_9_week_streams as (\n select\n s.storefront_name,\n s.label_id,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', download_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_apple_summary') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.download_date between current_date()-72 AND current_date()-9\n and s.source_of_stream = 3\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n storefront_name,\n label_id,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.storefront_name as country_code,\n cs.label_id,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams,\n s.avg_streams as avg_streams,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg,\n s.stddev_streams as standard_deviation,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation,0)) as spike_score\n\nfrom current_week_streams cs\ninner join stats s \n on cs.label_id = s.label_id\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.storefront_name = s.storefront_name\n\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n\n) u on u.isrc=cs.isrc \n\n\nwhere spike_score > 1\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.agg_apple_summary", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "weekly_trending_tracks_apple", "weekly_trending_tracks_apple_discovery_streams"], "unique_id": "model.my_new_project.weekly_trending_tracks_apple_discovery_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_discovery_streams.sql", "original_file_path": "models/bi_analytics/trending_tracks/weekly_trending_tracks_apple/weekly_trending_tracks_apple_discovery_streams.sql", "name": "weekly_trending_tracks_apple_discovery_streams", "alias": "weekly_trending_tracks_apple_discovery_streams", "checksum": {"name": "sha256", "checksum": "28c7fc25ebb9b639a037e90028450f7433020e72dcd94caca1707e653218c574"}, "tags": [], "refs": [["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["agg_apple_summary"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.8311605}, "model.my_new_project.daily_spikes_uk": {"raw_sql": "WITH today_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n SUM(fa.units) AS today_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.download_activity_date = CURRENT_DATE()-2\n AND fa.countryid=3\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6\n HAVING today_streams > 5000\n),\n\nprevious_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n fa.download_activity_date,\n SUM(fa.units) AS previous_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.countryid=3\n AND DAYOFWEEK(fa.download_activity_date) = DAYOFWEEK(CURRENT_DATE()-2)\n AND fa.download_activity_date > DATEADD(year,-1, CURRENT_DATE()-2)\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6,7\n),\n\nstats AS (\n SELECT\n labelid,\n subaccountid,\n artistid,\n isrc,\n track_name,\n storeid,\n AVG(previous_streams) AS avrg,\n STDDEV(previous_streams) AS std\n FROM previous_streams\n GROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n ts.labelid,\n ts.subaccountid,\n ts.artistid,\n ts.isrc,\n u.upc,\n ts.track_name,\n ts.storeid,\n ts.today_streams,\n s.avrg AS average_streams,\n ((today_streams - average_streams) / (nullif(average_streams,0)) * 100) AS percent_above_average,\n s.std AS standard_deviation,\n (today_streams - average_streams) / (nullif(standard_deviation,0)) AS spike_score\nFROM today_streams ts\nINNER JOIN stats s\nON ts.labelid=s.labelid\nAND ts.subaccountid=s.subaccountid\nAND ts.artistid=s.artistid\nAND ts.isrc=s.isrc\nAND ts.track_name=s.track_name\nAND ts.storeid=s.storeid\nINNER JOIN (SELECT\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) AS row_number\nFROM {{ ref('base_ar_track') }} t\nINNER JOIN (SELECT * FROM {{ ref('base_ar_releases') }} WHERE distribution_format_id IN (1,57)\nAND release_date > DATEADD(year,-1, CURRENT_DATE())) r ON r.upc=t.upc) u ON u.isrc=ts.isrc\nWHERE spike_score > 1\nAND u.row_number=1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "daily_spikes", "daily_spikes_uk"], "unique_id": "model.my_new_project.daily_spikes_uk", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/daily_spikes/daily_spikes_uk.sql", "original_file_path": "models/bi_analytics/trending_tracks/daily_spikes/daily_spikes_uk.sql", "name": "daily_spikes_uk", "alias": "daily_spikes_uk", "checksum": {"name": "sha256", "checksum": "0a1969fd878f3726233c548a73110c6db2c6e8ff64da2f76ff7da89c73703499"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.8419952}, "model.my_new_project.daily_spikes_us": {"raw_sql": "WITH today_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n SUM(fa.units) AS today_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.download_activity_date = CURRENT_DATE()-2\n AND fa.countryid=1\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6\n HAVING today_streams > 5000\n),\n\nprevious_streams AS (\n SELECT\n fa.labelid,\n zeroifnull(fa.subaccountid) AS subaccountid,\n fa.artistid,\n i.isrc,\n i.isrcname AS track_name,\n fa.storeid,\n fa.download_activity_date,\n SUM(fa.units) AS previous_streams\n FROM {{ ref('base_fact_analytics') }} fa\n INNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\n INNER JOIN {{ ref('base_dim_licensor') }} l ON l.licensorid=fa.licensorid\n WHERE fa.storeid IN (1,286)\n AND fa.transactiontypeid IN (1,10)\n AND fa.countryid=1\n AND DAYOFWEEK(fa.download_activity_date) = DAYOFWEEK(CURRENT_DATE()-2)\n AND fa.download_activity_date > DATEADD(year,-1, CURRENT_DATE()-2)\n AND l.distributor != 'sme'\n GROUP BY 1,2,3,4,5,6,7\n),\n\nstats AS (\n SELECT\n labelid,\n subaccountid,\n artistid,\n isrc,\n track_name,\n storeid,\n AVG(previous_streams) AS avrg,\n STDDEV(previous_streams) AS std\n FROM previous_streams\n GROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n ts.labelid,\n ts.subaccountid,\n ts.artistid,\n ts.isrc,\n u.upc,\n ts.track_name,\n ts.storeid,\n ts.today_streams,\n s.avrg AS average_streams,\n ((today_streams - average_streams) / (nullif(average_streams,0)) * 100) AS percent_above_average,\n s.std AS standard_deviation,\n (today_streams - average_streams) / (nullif(standard_deviation,0)) AS spike_score\nFROM today_streams ts\nINNER JOIN stats s\nON ts.labelid=s.labelid\nAND ts.subaccountid=s.subaccountid\nAND ts.artistid=s.artistid\nAND ts.isrc=s.isrc\nAND ts.track_name=s.track_name\nAND ts.storeid=s.storeid\nINNER JOIN (SELECT\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) AS row_number\nFROM {{ ref('base_ar_track') }} t\nINNER JOIN (SELECT * FROM {{ ref('base_ar_releases') }} WHERE distribution_format_id IN (1,57)\nAND release_date > DATEADD(year,-1, CURRENT_DATE())) r ON r.upc=t.upc) u ON u.isrc=ts.isrc\nWHERE spike_score > 1\nAND u.row_number=1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "trending_tracks", "daily_spikes", "daily_spikes_us"], "unique_id": "model.my_new_project.daily_spikes_us", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/trending_tracks/daily_spikes/daily_spikes_us.sql", "original_file_path": "models/bi_analytics/trending_tracks/daily_spikes/daily_spikes_us.sql", "name": "daily_spikes_us", "alias": "daily_spikes_us", "checksum": {"name": "sha256", "checksum": "8b268706353bbd800cba524a54644ffae888c7dcca9d86fb0305b5a295e94795"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067940.8966818}, "model.my_new_project.stg_sos_fraud_spike_over_500_pct": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nwith current_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-8 AND current_date()-2\n\n group by 1,2,3,4,5\n having current_week_streams > 1000\n\n),\n\ncurrent_week_streams_user_playlist as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams_user_playlist\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-8 AND current_date()-2\n and s.spotify_source = 'others_playlist'\n and s.source_uri NOT IN ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and s.source_uri NOT LIKE 'yourTopSongs%'\n and s.source_uri NOT LIKE 'missedHits%'\n and s.source_uri NOT LIKE 'tastebreakers%'\n and s.source_uri NOT LIKE 'onRecord%'\n and not(contains(LOWER(p.playlistauthor), 'spotify'))\n group by 1,2,3,4,5\n having current_week_streams_user_playlist > 200\n),\n\n\nprevious_9_week_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-72 AND current_date()-9\n\n group by 1,2,3,4,5,6\n\n),\n\nprevious_9_week_streams_user_playlist as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n date_trunc('week', activity_date) as week,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-72 AND current_date()-9\n and s.spotify_source = 'others_playlist'\n and s.source_uri NOT IN ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and s.source_uri NOT LIKE 'yourTopSongs%'\n and s.source_uri NOT LIKE 'missedHits%'\n and s.source_uri NOT LIKE 'tastebreakers%'\n and s.source_uri NOT LIKE 'onRecord%'\n and not(contains(LOWER(p.playlistauthor), 'spotify'))\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams\ngroup by 1,2,3,4,5\n\n),\n\nstats_user_playlist as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_9_week_streams_user_playlist\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_week_streams as current_week_streams_table,\n\n\n\n s.avg_streams as avg_streams_table,\n ((cs.current_week_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg_table,\n s.stddev_streams as standard_deviation_table,\n (cs.current_week_streams - s.avg_streams) / (nullif(standard_deviation_table,0)) as spike_score_table,\n \n \n p.current_week_streams_user_playlist,\n\n su.avg_streams as avg_streams_user_playlist,\n\n ((p.current_week_streams_user_playlist - su.avg_streams) / (nullif(su.avg_streams,0)) * 100) as percent_above_avg_user_playlist,\n su.stddev_streams as standard_deviation_user_playlist,\n (p.current_week_streams_user_playlist - su.avg_streams) / (nullif(standard_deviation_user_playlist,0)) as spike_score_user_playlist,\n\n ((p.current_week_streams_user_playlist/cs.current_week_streams)*100) as user_playlist_stream_pct\n\nfrom current_week_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n \n\ninner join current_week_streams_user_playlist p\n on cs.labelid = p.labelid\n and cs.artist_name = p.artist_name\n and cs.isrc = p.isrc\n and cs.track_name = p.track_name\n and cs.user_country_code = p.user_country_code\n \ninner join stats_user_playlist su \n on p.labelid = su.labelid\n and p.artist_name = su.artist_name\n and p.isrc = su.isrc\n and p.track_name = su.track_name\n and p.user_country_code = su.user_country_code\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\n--inner join (select * from {{ ref('base_ar_releases') }} where distribution_format_id IN (1,57)\n--and release_date > dateadd(year,-1,current_date())) r -- looks at releases within the last year\n--on r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nwhere spike_score_table > 1\nand user_playlist_stream_pct >= 70\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.base_ar_track", "model.my_new_project.base_ar_releases"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_streaming_fraud", "stg_sos_fraud_spike_over_500_pct"], "unique_id": "model.my_new_project.stg_sos_fraud_spike_over_500_pct", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_streaming_fraud/stg_sos_fraud_spike_over_500_pct.sql", "original_file_path": "models/bi_analytics/bi_streaming_fraud/stg_sos_fraud_spike_over_500_pct.sql", "name": "stg_sos_fraud_spike_over_500_pct", "alias": "stg_sos_fraud_spike_over_500_pct", "checksum": {"name": "sha256", "checksum": "1427d8c4b128918fbc51197570e58246a6d420231aaa3656b7d9679d0b585c48"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["base_ar_track"], ["base_ar_releases"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.9010668}, "model.my_new_project.stg_global_streams_last_7_days": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n select\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_week_streams_global\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n\n where s.activity_date between current_date()-8 AND current_date()-2\n --and s.user_country_code = 'GB'\n\n group by 1,2,3,4\n having current_week_streams_global > 5000", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_streaming_fraud", "stg_global_streams_last_7_days"], "unique_id": "model.my_new_project.stg_global_streams_last_7_days", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_streaming_fraud/stg_global_streams_last_7_days.sql", "original_file_path": "models/bi_analytics/bi_streaming_fraud/stg_global_streams_last_7_days.sql", "name": "stg_global_streams_last_7_days", "alias": "stg_global_streams_last_7_days", "checksum": {"name": "sha256", "checksum": "08821cd27ea114c02aa0b28f512e2b861984bae0f078dc10068a8766db359863"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.9190025}, "model.my_new_project.stg_user_streams_spotify": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,user_country_code,label_id,isrc)'\n ]\n })\n}}\n\nselect\nsm.activity_date as download_activity_date,\nsm.user_id as user_id, \nsm.isrc as isrc,\nsm.upc,\nsm.labelid as label_id,\nsm.user_country_code as user_country_code,\nsm.user_account_type as user_account_type,\n\ncount(distinct(sm.activity_date)) as count_days,\nsum(sm.total_listen_duration) as total_listen_duration,\navg(sm.avg_listen_duration) as avg_listen_duration,\nsum(sm.streams) as streams\n\n\nfrom {{ ref('agg_spotify_model') }} sm\n\nWHERE\n{% if is_incremental () %}\nactivity_date > (current_date()-7)\n{% else %}\nactivity_date >= '2022-01-01' AND activity_date <= (current_date()-2)\n\n{% endif %}\n\ngroup by 1,2,3,4,5,6,7", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.agg_spotify_model"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,user_country_code,label_id,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_streaming_fraud", "stg_user_streams_spotify"], "unique_id": "model.my_new_project.stg_user_streams_spotify", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_streaming_fraud/stg_user_streams_spotify.sql", "original_file_path": "models/bi_analytics/bi_streaming_fraud/stg_user_streams_spotify.sql", "name": "stg_user_streams_spotify", "alias": "stg_user_streams_spotify", "checksum": {"name": "sha256", "checksum": "20a6e9d1ec78dec0ffa466d666842d0427dc85af33b19c9256c9d8a8617a12c4"}, "tags": [], "refs": [["agg_spotify_model"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,user_country_code,label_id,isrc)"]}, "created_at": 1660067940.9281688}, "model.my_new_project.fraudulent_streams_flag_spotify_long_tail": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nselect \nss.download_activity_date as download_activity_date,\nss.user_id as user_id, \nss.isrc as isrc,\ndt.trackname as track_name,\ndg.genrename as genre_name,\nda.artistname as artist_name,\nss.label_id as label_id,\nss.user_country_code as user_country_code,\nss.user_account_type as user_account_type,\n\ncount(ss.count_days) as count_days,\nsum(ss.total_listen_duration) as total_listen_duration,\navg(ss.avg_listen_duration) as avg_listen_duration,\nsum(ss.streams) as streams\n\nfrom\n{{ ref('stg_user_streams_spotify') }} ss\nleft join {{ ref('base_dim_track') }} dt on ss.isrc = dt.isrc and ss.upc = dt.upc\nleft join {{ ref('base_dim_release') }} dr on ss.upc = dr.releaseid\nleft join {{ ref('base_dim_artist') }} da on dr.artistid = da.artistid\nleft join {{ ref('base_dim_genre') }} dg on dr.genreid = dg.genreid\n\nwhere \ndownload_activity_date between current_date()-29 AND current_date()-2\nand streams > 50\nand label_id != 29881 -- remove white noise for babies\n\ngroup by 1,2,3,4,5,6,7,8,9", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_user_streams_spotify", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_genre"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_streaming_fraud", "fraudulent_streams_flag_spotify_long_tail"], "unique_id": "model.my_new_project.fraudulent_streams_flag_spotify_long_tail", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_streaming_fraud/fraudulent_streams_flag_spotify_long_tail.sql", "original_file_path": "models/bi_analytics/bi_streaming_fraud/fraudulent_streams_flag_spotify_long_tail.sql", "name": "fraudulent_streams_flag_spotify_long_tail", "alias": "fraudulent_streams_flag_spotify_long_tail", "checksum": {"name": "sha256", "checksum": "f19b301960aae4d9a4b2a7fed62bb0cc666c72011ce86e23675eae2f5f03f4e2"}, "tags": [], "refs": [["stg_user_streams_spotify"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_genre"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.9387074}, "model.my_new_project.stg_sos_fraud_spike_over_500_pct_long_tail": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nwith current_month_streams as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_month_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-29 AND current_date()-2\n\n group by 1,2,3,4,5\n having current_month_streams > 10000\n\n),\n\ncurrent_month_streams_user_playlist as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n sum(s.streams) as current_month_streams_user_playlist\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-8 AND current_date()-2\n and s.spotify_source = 'others_playlist'\n and s.source_uri NOT IN ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and s.source_uri NOT LIKE 'yourTopSongs%'\n and s.source_uri NOT LIKE 'missedHits%'\n and s.source_uri NOT LIKE 'tastebreakers%'\n and s.source_uri NOT LIKE 'onRecord%'\n and not(contains(LOWER(p.playlistauthor), 'spotify'))\n group by 1,2,3,4,5\n having current_month_streams_user_playlist > 2000\n),\n\n\nprevious_4_week_streams_intervals as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n case\n when (s.activity_date between current_date()-57 AND current_date()-30) then 'previous_streams_1'\n when (s.activity_date between current_date()-85 AND current_date()-58) then 'previous_streams_2'\n when (s.activity_date between current_date()-113 AND current_date()-86) then 'previous_streams_3'\n when (s.activity_date between current_date()-141 AND current_date()-114) then 'previous_streams_4'\n else null\n end as months,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-141 AND current_date()-30\n\n group by 1,2,3,4,5,6\n\n),\n\nprevious_4_week_stream_intervals_user_playlist as (\n select\n s.user_country_code,\n s.labelid,\n s.isrc,\n t.trackname as track_name,\n a.artistname as artist_name,\n case\n when (s.activity_date between current_date()-57 AND current_date()-30) then 'previous_streams_1'\n when (s.activity_date between current_date()-85 AND current_date()-58) then 'previous_streams_2'\n when (s.activity_date between current_date()-113 AND current_date()-86) then 'previous_streams_3'\n when (s.activity_date between current_date()-141 AND current_date()-114) then 'previous_streams_4'\n else null\n end as months,\n sum(s.streams) as previous_streams\n\n from {{ ref('agg_spotify_model') }} s\n inner join {{ ref('base_dim_track') }} t on s.isrc = t.isrc and s.upc = t.upc\n inner join {{ ref('base_dim_release') }} r on s.upc = r.releaseid\n inner join {{ ref('base_dim_artist') }} a on r.artistid = a.artistid\n left join {{ ref('base_dim_playlist') }} p on s.source_uri = p.playlisturi\n\n where s.activity_date between current_date()-141 AND current_date()-30\n and s.spotify_source = 'others_playlist'\n and s.source_uri NOT IN ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and s.source_uri NOT LIKE 'yourTopSongs%'\n and s.source_uri NOT LIKE 'missedHits%'\n and s.source_uri NOT LIKE 'tastebreakers%'\n and s.source_uri NOT LIKE 'onRecord%'\n and not(contains(LOWER(p.playlistauthor), 'spotify'))\n\n group by 1,2,3,4,5,6\n\n),\n\nstats as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_4_week_streams_intervals\ngroup by 1,2,3,4,5\n\n),\n\nstats_user_playlist as ( select\n user_country_code,\n labelid,\n isrc,\n track_name,\n artist_name,\n avg(previous_streams) as avg_streams,\n stddev(previous_streams) as stddev_streams\n\nfrom previous_4_week_stream_intervals_user_playlist\ngroup by 1,2,3,4,5\n\n)\n\nselect\n cs.user_country_code,\n cs.labelid,\n cs.isrc,\n u.upc,\n cs.track_name,\n cs.artist_name,\n cs.current_month_streams as current_month_streams_table,\n\n\n\n s.avg_streams as avg_streams_table,\n ((cs.current_month_streams - s.avg_streams) / (nullif(s.avg_streams,0)) * 100) as percent_above_avg_table,\n s.stddev_streams as standard_deviation_table,\n (cs.current_month_streams - s.avg_streams) / (nullif(standard_deviation_table,0)) as spike_score_table,\n \n \n p.current_month_streams_user_playlist,\n\n su.avg_streams as avg_streams_user_playlist,\n\n ((p.current_month_streams_user_playlist - su.avg_streams) / (nullif(su.avg_streams,0)) * 100) as percent_above_avg_user_playlist,\n su.stddev_streams as standard_deviation_user_playlist,\n (p.current_month_streams_user_playlist - su.avg_streams) / (nullif(standard_deviation_user_playlist,0)) as spike_score_user_playlist,\n\n ((p.current_month_streams_user_playlist/cs.current_month_streams)*100) as user_playlist_stream_pct\n\nfrom current_month_streams cs\ninner join stats s \n on cs.labelid = s.labelid\n and cs.artist_name = s.artist_name\n and cs.isrc = s.isrc\n and cs.track_name = s.track_name\n and cs.user_country_code = s.user_country_code\n \n\ninner join current_month_streams_user_playlist p\n on cs.labelid = p.labelid\n and cs.artist_name = p.artist_name\n and cs.isrc = p.isrc\n and cs.track_name = p.track_name\n and cs.user_country_code = p.user_country_code\n \ninner join stats_user_playlist su \n on p.labelid = su.labelid\n and p.artist_name = su.artist_name\n and p.isrc = su.isrc\n and p.track_name = su.track_name\n and p.user_country_code = su.user_country_code\n\ninner join (select\n t.upc,\n t.isrc,\n t.track_name,\n row_number() over (partition by t.isrc order by t.upc) as row_number\nfrom {{ ref('base_ar_track') }} t\ninner join (select * from Intelligence.dbt_tallman.base_ar_releases where distribution_format_id IN (1,57)\nand release_date < dateadd(days,-150,current_date())) r -- looks at releases atleast 5 months old\non r.upc=t.upc\n) u on u.isrc=cs.isrc \n\nwhere spike_score_table > 1\nand user_playlist_stream_pct >= 70\nand u.row_number = 1", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_playlist", "model.my_new_project.base_ar_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_streaming_fraud", "stg_sos_fraud_spike_over_500_pct_long_tail"], "unique_id": "model.my_new_project.stg_sos_fraud_spike_over_500_pct_long_tail", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_streaming_fraud/stg_sos_fraud_spike_over_500_pct_long_tail.sql", "original_file_path": "models/bi_analytics/bi_streaming_fraud/stg_sos_fraud_spike_over_500_pct_long_tail.sql", "name": "stg_sos_fraud_spike_over_500_pct_long_tail", "alias": "stg_sos_fraud_spike_over_500_pct_long_tail", "checksum": {"name": "sha256", "checksum": "e48af064410a4c61fd23f81dabc20eb8d17600abde26abeac78ad9980e9ce8f4"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["agg_spotify_model"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_playlist"], ["base_ar_track"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.9482512}, "model.my_new_project.fraudulent_streams_flags_spotify": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\n\nselect \nss.download_activity_date as download_activity_date,\nss.user_id as user_id, \nss.isrc as isrc,\ndt.trackname as track_name,\ndg.genrename as genre_name,\nda.artistname as artist_name,\nss.label_id as label_id,\nss.user_country_code as user_country_code,\nss.user_account_type as user_account_type,\n\ngs.current_week_streams_global as current_week_streams_global,\n\ncount(ss.count_days) as count_days,\nsum(ss.total_listen_duration) as total_listen_duration,\navg(ss.avg_listen_duration) as avg_listen_duration,\nsum(ss.streams) as streams\n\n\n\n\nfrom\n{{ ref('stg_user_streams_spotify') }} ss\nleft join {{ ref('base_dim_track') }} dt on ss.isrc = dt.isrc and ss.upc = dt.upc\nleft join {{ ref('base_dim_release') }} dr on ss.upc = dr.releaseid\nleft join {{ ref('base_dim_artist') }} da on dr.artistid = da.artistid\nleft join {{ ref('base_dim_genre') }} dg on dr.genreid = dg.genreid\nleft join {{ ref('stg_global_streams_last_7_days') }} gs on ss.isrc = gs.isrc and ss.label_id = gs.labelid\n\nwhere \ndownload_activity_date between current_date()-8 AND current_date()-2\nand streams > 50\nand label_id != 29881 -- remove white noise for babies\n\ngroup by 1,2,3,4,5,6,7,8,9,10", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.stg_user_streams_spotify", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_artist", "model.my_new_project.base_dim_genre", "model.my_new_project.stg_global_streams_last_7_days"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_streaming_fraud", "fraudulent_streams_flags_spotify"], "unique_id": "model.my_new_project.fraudulent_streams_flags_spotify", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_streaming_fraud/fraudulent_streams_flags_spotify.sql", "original_file_path": "models/bi_analytics/bi_streaming_fraud/fraudulent_streams_flags_spotify.sql", "name": "fraudulent_streams_flags_spotify", "alias": "fraudulent_streams_flags_spotify", "checksum": {"name": "sha256", "checksum": "e68401de6630378b0f1398b903a8a0a5e9f22190bc283552ca08076741d6f3ec"}, "tags": [], "refs": [["stg_user_streams_spotify"], ["base_dim_track"], ["base_dim_release"], ["base_dim_artist"], ["base_dim_genre"], ["stg_global_streams_last_7_days"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067940.9642844}, "model.my_new_project.playlist_model_spotify": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)'\n ]\n })\n}}\n\n\nselect \n sm.activity_date as download_activity_date,\n sm.user_country_code as transaction_country_code,\n 'Spotify' as store,\n 'Spotify' as sub_store, \n sm.user_account_type as subscription_type,\n sm.spotify_source as source_of_stream,\n sm.source_uri as source_uri,\n sm.device_type as device_type,\n sm.labelid as label_id,\n to_char(sm.upc) as upc,\n to_char(sm.isrc) as isrc, \n\n case\n when (sm.spotify_source = 'radio' and sm.source_uri = 'dailyMix') then 'Daily Mix'\n when (sm.spotify_source = 'radio' and sm.source_uri != 'dailyMix') then 'Radio'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'discoverWeekly') then 'Discover Weekly'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'releaseRadar') then 'Release Radar'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'timeCapsule') then 'Time Capsule'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'onRepeat') then 'On Repeat'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'repeatRewind') then 'Repeat Rewind'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'yourDailyDrive') then 'Your Daily Drive'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'homeMix') then 'Home Mix'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri = 'yearInMusic') then 'Year In Music'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri like 'yourTopSongs%') then 'Your Top Songs'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri like 'missedHits%') then 'Missed Hits'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri like 'tastebreakers%') then 'Taste Breakers'\n when (sm.spotify_source = 'others_playlist' and sm.source_uri like 'onRecord%') then 'On Record'\n when (contains(lower(p.playlistauthor),'spotify') \n and p.playlistname like 'This Is%') then 'This Is'\n\n when (sm.spotify_source = 'others_playlist' and\n sm.source_uri not in ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and sm.source_uri not like 'yourTopSongs%'\n and sm.source_uri not like 'missedHits%'\n and sm.source_uri not like 'tastebreakers%'\n and sm.source_uri not like 'onRecord%'\n and p.playlistname not like 'This Is%'\n and contains(lower(p.playlistauthor),'spotify')\n ) then 'Editorial Playlist'\n\n when (sm.spotify_source = 'others_playlist' and\n sm.source_uri not in ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and sm.source_uri not like 'yourTopSongs%'\n and sm.source_uri not like 'missedHits%'\n and sm.source_uri not like 'tastebreakers%'\n and sm.source_uri not like 'onRecord%'\n and not(contains(lower(p.playlistauthor),'spotify'))\n and p.playlistname is not null\n ) then '3rd Party Playlist'\n\n when (sm.spotify_source = 'others_playlist' and\n sm.source_uri not in ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and sm.source_uri not like 'yourTopSongs%'\n and sm.source_uri not like 'missedHits%'\n and sm.source_uri not like 'tastebreakers%'\n and sm.source_uri not like 'onRecord%'\n and p.playlistauthor is null\n and p.playlistname is not null\n ) then '3rd Party Playlist'\n\n when (sm.spotify_source = 'others_playlist' and\n sm.source_uri not in ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and sm.source_uri not like 'yourTopSongs%'\n and sm.source_uri not like 'missedHits%'\n and sm.source_uri not like 'tastebreakers%'\n and sm.source_uri not like 'onRecord%'\n and not(contains(lower(p.playlistauthor),'spotify'))\n and (p.playlistname is null or p.playlistname = '')\n ) then 'User Playlist'\n\n when (sm.spotify_source = 'others_playlist' and\n sm.source_uri not in ('discoverWeekly','releaseRadar','timeCapsule','onRepeat','repeatRewind','yourDailyDrive','homeMix','yearInMusic')\n and sm.source_uri not like 'yourTopSongs%'\n and sm.source_uri not like 'missedHits%'\n and sm.source_uri not like 'tastebreakers%'\n and sm.source_uri not like 'onRecord%'\n and p.playlistauthor is null\n and (p.playlistname is null or p.playlistname = '')\n ) then 'User Playlist'\n\n else 'Other'\n end as playlist_type,\n\n p.playlistauthor as playlist_author,\n p.playlistname as playlist_name,\n p.playlisturi as playlist_uri,\n\n\n sum(sm.total_listen_duration) as total_listen_duration,\n avg(sm.total_listen_duration) as avg_listen_duration,\n\n case when sm.device_type = 'Connected Audio Device' then (sum(sm.streams)*0.7)\n else 0\n end as voice_streams,\n\n sum(sm.discovery_flag_yes_streams) as discovery_streams,\n sum(sm.streams) as streams\n \n\n\nfrom {{ ref('agg_spotify_model') }} sm\nleft join {{ ref('base_dim_playlist') }} p on sm.source_uri = p.playlisturi\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2019-06-11' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\nand sm.spotify_source in ('others_playlist', 'radio')\n\n--and sm.user_country_code in ('GB', 'DE', 'AT', 'CH' ) -- looking at UK & GSA only streams currently\n\ngroup by \n1,2,3,4,5,6,7,8,9,10,11,12,13,14,15", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.agg_spotify_model", "model.my_new_project.base_dim_playlist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "playlist_model_spotify"], "unique_id": "model.my_new_project.playlist_model_spotify", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_spotify.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_spotify.sql", "name": "playlist_model_spotify", "alias": "playlist_model_spotify", "checksum": {"name": "sha256", "checksum": "fd605bfb07199e89dbd5cc2f224a62203a04a88893046b057255b1c9801061de"}, "tags": [], "refs": [["agg_spotify_model"], ["base_dim_playlist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)"]}, "created_at": 1660067940.973943}, "model.my_new_project.playlist_model_soundcloud": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,isrc);'\n ]\n })\n}}\n\nselect \n s.download_activity_date as download_activity_date,\n s.label_id as label_id,\n s.country as country,\n s.soundcloud_track_id as soundcloud_track_id,\n s.client_application as client_application,\n s.playlist_type as playlist_type,\n s.playlist_id as playlist_id,\n s.playlist_name as playlist_name,\n s.position_in_playlist as position_in_playlist_daily,\n s.operating_system as os,\n s.artist_name as artist_name,\n s.track_title as track_name,\n s.isrc as isrc,\n s.upc as upc,\n s.album_name as release_name,\n\n s.user_country as user_country,\n s.user_age as user_age_group,\n s.user_city as user_city,\n s.user_region as user_region,\n s.user_subscription_tier as user_subscription_tier,\n\n\n\n sum(s.play_length_ms)*1000 as play_length_seconds,\n sum(s.track_favourited) as track_favourites_count,\n sum(s.track_message_posted) as track_message_posts,\n sum(s.track_reposted_shared) as track_reposts,\n sum(s.track_to_playlist_added) as track_to_playlist_added,\n\n count(distinct s.user_id) as number_of_users,\n\n sum(s.total_listening_time) as total_listen_duration,\n avg(s.total_listening_time) as avg_listen_duration,\n\n sum(s.streams) as streams\n\n\nfrom {{ ref('agg_soundcloud_model') }} s\n\nWHERE\n {{ download_date_filter(date_column='download_activity_date') }}\nand s.playlist_type is not null\n\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.agg_soundcloud_model"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,isrc);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "playlist_model_soundcloud"], "unique_id": "model.my_new_project.playlist_model_soundcloud", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_soundcloud.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_soundcloud.sql", "name": "playlist_model_soundcloud", "alias": "playlist_model_soundcloud", "checksum": {"name": "sha256", "checksum": "11c6eba220e3d32aba6916b24f8ee2cfe475c02d9608a5ad1da1279dca09ad0e"}, "tags": [], "refs": [["agg_soundcloud_model"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,isrc);"]}, "created_at": 1660067940.9871273}, "model.my_new_project.playlist_model_pandora": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country_code,label_id,source_name,isrc)'\n ]\n })\n}}\n\n\nselect \n p.download_activity_date as download_activity_date,\n p.label_id as label_id,\n p.play_type as play_type,\n p.country as country_code,\n p.gender as gender,\n p.age_bucket as age_bucket,\n p.device_category as device_type,\n --p.device_type as os,\n p.listener_state as transaction_type,\n p.subscription_type as subscription_type,\n p.source as source,\n case \n when p.source = 'Station Play' then 'Station'\n when p.source = 'Station' then 'Station'\n when p.source = 'Playlist Play' then 'Playlist'\n when p.source = 'Station Sample Track Play' then 'Station'\n when p.source = 'Autoplay from Playlist' then 'Playlist'\n when p.source = 'Autoplay from Station Samples' then 'Station'\n end as source_grouped,\n --p.source_id as source_id,\n p.source_name as source_name, \n p.artist_name as artist_name,\n p.artist_uri as artist_uri,\n p.track_title as track_name,\n --p.track_uri as track_uri,\n p.isrc as isrc,\n p.upc as upc,\n p.platform as platform,\n\n sum(p.total_listening_time) as total_listen_duration,\n avg(p.total_listening_time) as avg_listen_duration,\n\n count(distinct p.hashed_listener) as number_of_users,\n sum(p.streams) as streams\n\n\nfrom {{ ref('agg_pandora_model') }} p\n\nwhere\n {{ download_date_filter(date_column='download_activity_date') }}\nand p.source IN ('Station Play', 'Station', 'Playlist Play', 'Station Sample Track Play', 'Autoplay from Playlist', 'Autoplay from Station Samples')\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18\norder by 1 desc", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.agg_pandora_model"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country_code,label_id,source_name,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "playlist_model_pandora"], "unique_id": "model.my_new_project.playlist_model_pandora", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_pandora.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_pandora.sql", "name": "playlist_model_pandora", "alias": "playlist_model_pandora", "checksum": {"name": "sha256", "checksum": "c7f26b919be425392a5bff64676bd369928e09150edb133d408ca0f3e878b6c5"}, "tags": [], "refs": [["agg_pandora_model"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country_code,label_id,source_name,isrc)"]}, "created_at": 1660067941.0080268}, "model.my_new_project.playlist_model_amazon": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)'\n ]\n })\n}}\n\nselect \n am.download_activity_date as download_activity_date,\n am.country_code as transaction_country_code,\n am.country as country,\n 'Amazon' as store,\n am.sub_store as sub_store,\n am.subscription_product as subscription_type,\n\n case\n when (am.selection_source_type = 'ALBUM') THEN 'Album'\n when (am.selection_source_type = 'AMF_STATION') THEN 'AMF Station'\n when (am.selection_source_type = 'AMF_STATION_SEED') THEN 'AMF Station Seed'\n when (am.selection_source_type = 'ARTIST') THEN 'Artist'\n when (am.selection_source_type = 'AUTO_PLAYLIST') THEN 'Auto Playlist'\n when (am.selection_source_type = 'GENRE') THEN 'Genre'\n when (am.selection_source_type = 'GOLDEN_PLAYLIST') THEN 'Golden Playlist'\n when (am.selection_source_type = 'PERSONALIZE_PLAYLIST') THEN 'Personalized Playlist'\n when (am.selection_source_type = 'PRIME_PLAYLIST') THEN 'Prime Playlist'\n when (am.selection_source_type = 'PRIME_STATION') THEN 'Prime Station'\n when (am.selection_source_type = 'PRIME_STATION_SEED') THEN 'Prime Station Seed'\n when (am.selection_source_type = 'RECENTLY_ADDED') THEN 'Recently Added'\n when (am.selection_source_type = 'RECENTLY_PLAYED') THEN 'Recently Played'\n when (am.selection_source_type = 'SHARED_PLAYLIST') THEN 'Shared Playlist'\n when (am.selection_source_type = 'SIMILARITY') THEN 'Similarity'\n when (am.selection_source_type = 'SIMILARITY_STATION') THEN 'Similarity Station'\n when (am.selection_source_type = 'SONGS') THEN 'Songs'\n when (am.selection_source_type = 'UNKNOWN') THEN 'Unknown'\n when (am.selection_source_type = 'UNLIMITED_PLAYLIST') THEN 'Unlimited Playlist'\n when (am.selection_source_type = 'UNLIMITED_STATION') THEN 'Unlimited Station'\n when (am.selection_source_type = 'UNLIM\u0449TED_STATION') THEN 'Unlimited Station'\n when (am.selection_source_type = 'UNL_STATION_SEED') THEN 'Unlimited Station Seed'\n when (am.selection_source_type = 'USER_PLAYLIST') THEN 'User Playlist'\n when (am.selection_source_type = 'Unknown (Video)') THEN 'Unknown (Video)'\n ELSE 'Other'\n END as source_of_stream,\n\n am.stream_source_id as stream_source_id, -- same as source uri in spotify playlist model\n am.device_type as device_type,\n am.label_id as label_id,\n to_char(am.upc_code) as upc,\n to_char(am.isrc_track_number) as isrc,\n am.playlist_genre as playlist_genre,\n am.playlist_name as playlist_name,\n am.number_of_tracks_in_playlist as number_of_tracks_in_playlist,\n am.playlist_followers as playlist_followers_daily,\n am.location_of_track_in_playlist as track_playlist_position_daily,\n p.playlistauthor as playlist_author,\n p.playlisturi as playlist_uri,\n\n sum(am.total_listening_time) as total_listen_duration,\n avg(am.avg_listen_duration) as avg_listen_duration,\n\n sum(am.voice_activated_streams) as voice_streams,\n\n sum(am.skips) as skips,\n sum(am.streams) as streams\n\n\n\n\nfrom {{ ref('agg_amazon_aggregated') }} am\nleft join {{ ref('base_dim_playlist') }} p on am.stream_source_id = p.storeplaylistid and am.selection_source_type = p.playlisttypename\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2019-06-11' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\nand am.selection_source_type in ('AMF_STATION','AMF_STATION_SEED','AUTO_PLAYLIST','GOLDEN_PLAYLIST','PERSONALIZE_PLAYLIST',\n 'PRIME_PLAYLIST','PRIME_STATION','PRIME_STATION_SEED','SHARED_PLAYLIST','SIMILARITY_STATION',\n 'UNLIMITED_PLAYLIST','UNLIMITED_STATION','UNLIM\u0449TED_STATION','UNL_STATION_SEED','USER_PLAYLIST' )\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.base_dim_playlist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "playlist_model_amazon"], "unique_id": "model.my_new_project.playlist_model_amazon", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_amazon.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_amazon.sql", "name": "playlist_model_amazon", "alias": "playlist_model_amazon", "checksum": {"name": "sha256", "checksum": "e7148389337f7964b269856cef681f78630e5afcad728ff0c2b2e0bb33711c11"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["base_dim_playlist"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)"]}, "created_at": 1660067941.022427}, "model.my_new_project.spotify_3rd_party_playlist_spt_last_week": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nselect\n s.transaction_country_code as transaction_country_code,\n s.playlist_type as playlist_type,\n s.playlist_author as playlist_author,\n s.playlist_name as playlist_name,\n s.playlist_uri as playlist_uri,\n\n sum(s.streams) as streams,\n count(distinct(isrc)) as number_of_tracks,\n (sum(s.streams)/count(distinct(isrc))) as streams_per_track\n\n\nfrom {{ ref('playlist_model_spotify') }} s\nwhere s.download_activity_date between current_date()-8 AND current_date()-2\n and s.playlist_type = '3rd Party Playlist'\ngroup by 1,2,3,4,5", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.playlist_model_spotify"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "spotify_3rd_party_playlist_spt_last_week"], "unique_id": "model.my_new_project.spotify_3rd_party_playlist_spt_last_week", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/spotify_3rd_party_playlist_spt_last_week.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/spotify_3rd_party_playlist_spt_last_week.sql", "name": "spotify_3rd_party_playlist_spt_last_week", "alias": "spotify_3rd_party_playlist_spt_last_week", "checksum": {"name": "sha256", "checksum": "c60e33cc886ef7af1f2074d63c5e9c3d83197beb5a0bec8df73f2174b219cc77"}, "tags": [], "refs": [["playlist_model_spotify"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067941.0358114}, "model.my_new_project.playlist_model_joint": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)'\n ]\n })\n}}\n\nselect \n sm.download_activity_date as download_activity_date,\n sm.transaction_country_code as transaction_country_code,\n sm.store as store,\n sm.sub_store as sub_store,\n sm.subscription_type as subscription_type,\n sm.source_of_stream as source_of_stream,\n -- sm.source_uri as source_uri,\n sm.device_type as device_type,\n sm.label_id as label_id,\n sm.upc as upc,\n sm.isrc as isrc,\n sm.playlist_type as playlist_type,\n sm.playlist_author as playlist_author,\n sm.playlist_name as playlist_name,\n sm.playlist_uri as playlist_uri,\n\n sum(sm.total_listen_duration) as total_listen_duration,\n avg(sm.total_listen_duration) as avg_listen_duration,\n\n sum(sm.voice_streams) as voice_streams,\n sum(sm.streams) as streams,\n null as skips\n\n\nfrom {{ ref('playlist_model_spotify') }} sm\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14\n\nunion all\n\nselect \n am.download_activity_date as download_activity_date,\n am.transaction_country_code as transaction_country_code,\n am.store as store,\n am.sub_store as sub_store,\n am.subscription_type as subscription_type,\n am.stream_source_id as source_of_stream,\n -- sm.source_uri as source_uri,\n am.device_type as device_type,\n am.label_id as label_id,\n am.upc as upc,\n am.isrc as isrc,\n am.source_of_stream as playlist_type,\n am.playlist_author as playlist_author,\n am.playlist_name as playlist_name,\n am.playlist_uri as playlist_uri,\n\n sum(am.total_listen_duration) as total_listen_duration,\n avg(am.total_listen_duration) as avg_listen_duration,\n\n sum(am.voice_streams) as voice_streams,\n sum(am.streams) as streams,\n sum(am.skips) as skips\n\n\nfrom {{ ref('playlist_model_amazon') }} am\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14\n\nunion all\n\nselect \n ap.download_activity_date as download_activity_date,\n ap.transaction_country_code as transaction_country_code,\n 'Apple' as store,\n 'Apple' as sub_store,\n 'Apple' as subscription_type,\n ap.source_of_stream as source_of_stream,\n -- sm.source_uri as source_uri,\n 'Unknown (Apple)' as device_type,\n ap.label_id as label_id,\n ap.upc as upc,\n ap.isrc as isrc,\n ap.source_of_stream_breakdown as playlist_type,\n ap.playlist_author as playlist_author,\n ap.playlist_name as playlist_name,\n ap.playlist_url as playlist_uri,\n\n null as total_listen_duration,\n null as avg_listen_duration,\n\n null as voice_streams,\n sum(ap.streams) as streams,\n null as skips\n\n\nfrom {{ ref('playlist_model_apple') }} ap\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.playlist_model_spotify", "model.my_new_project.playlist_model_amazon", "model.my_new_project.playlist_model_apple"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "playlist_model_joint"], "unique_id": "model.my_new_project.playlist_model_joint", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_joint.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_joint.sql", "name": "playlist_model_joint", "alias": "playlist_model_joint", "checksum": {"name": "sha256", "checksum": "3d57973064d325b146fafe853883577e4c5acf4e26b0e10fbf085e06962651b2"}, "tags": [], "refs": [["playlist_model_spotify"], ["playlist_model_amazon"], ["playlist_model_apple"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)"]}, "created_at": 1660067941.043807}, "model.my_new_project.playlist_model_apple": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)'\n ]\n })\n}}\n\nselect \n ac.download_date as download_activity_date,\n ac.storefront_name as transaction_country_code,\n ac.labelid as label_id,\n ac.upc as upc,\n ac.isrc as isrc,\n ac.apple_id as apple_id,\n ac.sub_container_name as source_of_stream_breakdown,\n ac.container_type_name as source_of_stream,\n ac.container_id as playlist_id,\n ac.container_name as playlist_name,\n ac.item_title as track_name,\n ac.item_artist as artist,\n\n dp.playlistauthor as playlist_author,\n dp.playlisturl as playlist_url,\n dp.playlisttypename as playlist_type,\n\n\n sum(ac.streams) as streams\n\nfrom {{ ref('base_stg_raw_apple_container') }} ac\nleft join {{ ref('base_dim_playlist') }} dp on ac.container_id = dp.storeplaylistid\nwhere\n {{ download_date_filter(date_column='download_activity_date') }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_apple_container", "model.my_new_project.base_dim_playlist"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "playlist_models", "playlist_model_apple"], "unique_id": "model.my_new_project.playlist_model_apple", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_apple.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_model_apple.sql", "name": "playlist_model_apple", "alias": "playlist_model_apple", "checksum": {"name": "sha256", "checksum": "e471c2da77fd3eaca1a8484998235455e96487a74371278fb352db09c7791a4a"}, "tags": [], "refs": [["base_stg_raw_apple_container"], ["base_dim_playlist"]], "sources": [], "metrics": [], "description": "", "columns": {"download_activity_date": {"name": "download_activity_date", "description": "", "meta": {}, "data_type": null, "quote": null, "tags": []}}, "meta": {}, "docs": {"show": true}, "patch_path": "my_new_project://models/bi_analytics/bi_analytics_use_case_models/playlist_models/playlist_models.yml", "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)"]}, "created_at": 1660067941.8530133}, "model.my_new_project.summary_streams": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)'\n ]\n })\n}}\n\n\n\n\nselect \n am.download_activity_date as download_activity_date,\n am.country_code as transaction_country_code,\n 'Amazon' as store,\n am.sub_store as sub_store, \n am.subscription_product as subscription_type,\n am.selection_source_type as source_of_stream,\n '' as source_uri,\n am.device_type as device_type,\n am.label_id as label_id,\n to_char(am.upc_code) as upc,\n to_char(am.isrc_track_number) as isrc,\n\n sum(am.total_listening_time) as total_listen_duration,\n avg(am.total_listening_time) as avg_listen_duration,\n\n sum(am.voice_activated_streams) as voice_streams,\n\n sum(am.streams) as streams\n\n\nfrom {{ ref('agg_amazon_aggregated') }} am\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by \n1,2,3,4,5,6,7,8,9,10,11\n\nunion all \n\nselect \n sm.activity_date as download_activity_date,\n sm.user_country_code as transaction_country_code,\n 'Spotify' as store,\n 'Spotify' as sub_store, \n sm.user_account_type as subscription_type,\n sm.spotify_source as source_of_stream,\n sm.source_uri as source_uri,\n sm.device_type as device_type,\n sm.labelid as label_id,\n to_char(sm.upc) as upc,\n to_char(sm.isrc) as isrc, \n\n sum(sm.total_listen_duration) as total_listen_duration,\n avg(sm.total_listen_duration) as avg_listen_duration,\n\n case when sm.device_type = 'Connected Audio Device' then (sum(sm.streams)*0.7)\n else 0\n end as voice_streams,\n\n sum(sm.streams) as streams\n\n\nfrom {{ ref('agg_spotify_model') }} sm\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by \n1,2,3,4,5,6,7,8,9,10,11\n\nunion all \n\nselect \n um.download_activity_date as download_activity_date,\n um.user_country as transaction_country_code,\n 'UMA' as store,\n um.platform_name as sub_store, \n um.subscription_product as subscription_type,\n case\n when um.stream_source_type = 1 then 'Search'\n when um.stream_source_type = 2 then 'Artist Page'\n when um.stream_source_type = 3 then 'Content Page'\n when um.stream_source_type = 4 then 'User Created Playlist/Area'\n when um.stream_source_type = 5 then 'Followed/Saved 3rd Party Artists or Playlists in the Users Collection'\n when um.stream_source_type = 6 then 'Promotional Area (e.g. Recommended or Browse Area)'\n when um.stream_source_type = 7 then 'Recent Activity'\n when um.stream_source_type = 8 then 'API Partner Integration'\n when um.stream_source_type = 9 then 'Semi-Interactive Radio Station'\n when um.stream_source_type = 10 then 'Charts & Algorithmic Sections'\n when um.stream_source_type = 11 then 'Other'\n when um.stream_source_type = 12 then 'Communities'\n when um.stream_source_type = 13 then 'Messages'\n when um.stream_source_type = 14 then 'News Feed'\n when um.stream_source_type = -1 then 'Unknown'\n else 'Other'\n end as source_of_stream,\n um.stream_source_detail as source_uri,\n case \n when um.device_type = 0 then 'Desktop'\n when um.device_type = 1 then 'Mobile'\n when um.device_type = 2 then 'Tablet'\n when um.device_type = 3 then 'In-dash Car Integration'\n when um.device_type = 4 then 'Mobile to Car Tether'\n when um.device_type = 5 then 'Connected Home TV'\n when um.device_type = 6 then 'Connected Home Audio'\n when um.device_type = 7 then 'Gaming System'\n when um.device_type = 8 then 'Voice Controlled Device'\n when um.device_type = 9 then 'Other'\n else 'Other'\n end as device_type,\n um.label_id as label_id,\n to_char(um.upc_physical_album_product) as upc,\n to_char(um.isrc_official_track) as isrc, \n\n sum(um.total_listening_time) as total_listen_duration,\n avg(um.avg_listen_duration) as avg_listen_duration,\n\n SUM(IFF(um.device_type = 8, um.streams, 0)) as voice_streams,\n\n sum(um.streams) as streams\n\n\nfrom {{ ref('agg_uma_model') }} um\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by \n1,2,3,4,5,6,7,8,9,10,11\n\nunion all \n\nselect \n p.download_activity_date as download_activity_date,\n p.country as transaction_country_code,\n 'Pandora' as store,\n 'Pandora' as sub_store, \n p.listener_state as subscription_type,\n p.source as source_of_stream,\n '' as source_uri,\n p.device_type as device_type,\n p.label_id as label_id,\n to_char(p.upc) as upc,\n to_char(p.isrc) as isrc, \n\n sum(p.total_listening_time) as total_listen_duration,\n avg(p.avg_listen_duration) as avg_listen_duration,\n\n case when (p.device_type = 'VOICE_ACTIVATED' OR p.device_type = 'Voice Activated') then sum(p.streams)\n else 0\n end as voice_streams,\n\n sum(p.streams) as streams\n\n\nfrom {{ ref('agg_pandora_model') }} p\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8) \n{% else %}\ndownload_activity_date >= '2021-01-01' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by \n1,2,3,4,5,6,7,8,9,10,11", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": ["model.my_new_project.agg_amazon_aggregated", "model.my_new_project.agg_spotify_model", "model.my_new_project.agg_uma_model", "model.my_new_project.agg_pandora_model"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_use_case_models", "summary_streams_model", "summary_streams"], "unique_id": "model.my_new_project.summary_streams", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_use_case_models/summary_streams_model/summary_streams.sql", "original_file_path": "models/bi_analytics/bi_analytics_use_case_models/summary_streams_model/summary_streams.sql", "name": "summary_streams", "alias": "summary_streams", "checksum": {"name": "sha256", "checksum": "7df6f553e4576f15f3df04dfb9051abbf45a43ebd4097bd82f31ba8c855386ed"}, "tags": [], "refs": [["agg_amazon_aggregated"], ["agg_spotify_model"], ["agg_uma_model"], ["agg_pandora_model"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,transaction_country_code,label_id,upc,isrc)"]}, "created_at": 1660067941.0701632}, "model.my_new_project.streaming_totals_last_sales_week_release_level": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH streams AS (\nSELECT\n labelid,\n artistid,\n releaseid,\n trackid,\n storeid,\n countryid,\n SUM(units) AS store_units\nFROM (SELECT * FROM {{ ref('base_fact_analytics') }} WHERE labelid != 32551)\nWHERE download_activity_date BETWEEN DATEADD(day,-7,PREVIOUS_DAY(CURRENT_DATE(), 'Friday')) \nAND PREVIOUS_DAY(CURRENT_DATE(),'Thursday')\nAND transactiontypeid IN (37,38,10,1)\nAND releaseid IN (\n SELECT\n releaseid\nFROM {{ ref('base_dim_release') }}\nWHERE sale_start_date >= DATEADD(year,-1,CURRENT_DATE())\nAND product_type_id=1)\nGROUP BY 1,2,3,4,5,6)\n\nSELECT\n row_number() over (ORDER BY s.trackid DESC) AS rowid,\n DATEADD(day,-7,PREVIOUS_DAY(CURRENT_DATE(), 'Friday')) AS activity_week,\n s.*\nFROM streams s", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "analytics_last_sales_week", "streaming_totals_last_sales_week_release_level"], "unique_id": "model.my_new_project.streaming_totals_last_sales_week_release_level", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/analytics_last_sales_week/streaming_totals_last_sales_week_release_level.sql", "original_file_path": "models/bi_analytics/analytics_last_sales_week/streaming_totals_last_sales_week_release_level.sql", "name": "streaming_totals_last_sales_week_release_level", "alias": "streaming_totals_last_sales_week_release_level", "checksum": {"name": "sha256", "checksum": "10195cb4445509015d7c150ee2d06d561b7cda94d2f8b4090a0396b1cd0a883b"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_release"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067941.0836136}, "model.my_new_project.streaming_totals_last_sales_week_isrc_level": {"raw_sql": "{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH streams AS (\nSELECT\n fa.labelid,\n fa.artistid,\n fa.storeid,\n fa.countryid,\n i.isrc,\n i.isrcname AS track_name,\n SUM(fa.units) AS store_units\nFROM (SELECT * FROM {{ ref('base_fact_analytics') }} WHERE labelid != 32551) fa\nINNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\nWHERE download_activity_date BETWEEN DATEADD(day,-7,PREVIOUS_DAY(CURRENT_DATE(), 'Friday')) \nAND PREVIOUS_DAY(CURRENT_DATE(),'Thursday')\nAND transactiontypeid IN (37,38,10,1)\nAND releaseid IN (\n SELECT\n releaseid\nFROM {{ ref('base_dim_release') }}\nWHERE sale_start_date >= DATEADD(year,-1,CURRENT_DATE())\nAND product_type_id=1)\nGROUP BY 1,2,3,4,5,6\n)\n\nSELECT\n row_number() over (ORDER BY s.isrc DESC) AS rowid,\n DATEADD(day,-7,PREVIOUS_DAY(CURRENT_DATE(), 'Friday')) AS activity_week,\n s.*\nFROM streams s", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "analytics_last_sales_week", "streaming_totals_last_sales_week_isrc_level"], "unique_id": "model.my_new_project.streaming_totals_last_sales_week_isrc_level", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/analytics_last_sales_week/streaming_totals_last_sales_week_isrc_level.sql", "original_file_path": "models/bi_analytics/analytics_last_sales_week/streaming_totals_last_sales_week_isrc_level.sql", "name": "streaming_totals_last_sales_week_isrc_level", "alias": "streaming_totals_last_sales_week_isrc_level", "checksum": {"name": "sha256", "checksum": "d444aba9a5fb394d5f36cad271f91e2fb29758de68ffe4ffea89f9ac42e33c39"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_release"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067941.0915384}, "model.my_new_project.fact_analytics_2020": {"raw_sql": "{{\n\nconfig(\n materialized = 'incremental',\n incremental_strategy = 'delete+insert',\n unique_key = 'download_activity_date'\n)\n\n}}\n\nSELECT\n *\nFROM facts.prod.fact_analytics\n\n{% if is_incremental() %}\nWHERE download_activity_date > DATEADD(day, -10, (SELECT MAX(download_activity_date) FROM {{ this }} WHERE storeid != 187))\n{% endif %}", "resource_type": "model", "depends_on": {"macros": ["macro.dbt.is_incremental"], "nodes": []}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "download_activity_date", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "fact_analytics_2020", "fact_analytics_2020"], "unique_id": "model.my_new_project.fact_analytics_2020", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/fact_analytics_2020/fact_analytics_2020.sql", "original_file_path": "models/bi_analytics/fact_analytics_2020/fact_analytics_2020.sql", "name": "fact_analytics_2020", "alias": "fact_analytics_2020", "checksum": {"name": "sha256", "checksum": "ffcbd690adb8c8459765cdc7c512941fdf5bb2dd1a62d916a618d52b57fb26f7"}, "tags": [], "refs": [], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "incremental_strategy": "delete+insert", "unique_key": "download_activity_date"}, "created_at": 1660067941.1003041}, "model.my_new_project.streaming_totals_last_7_days_isrc_level": {"raw_sql": "-- Currently Spotify Only\n\n{{\nconfig({\n 'materialized': 'table'\n })\n}}\n\nWITH streams AS (\nSELECT\n fa.labelid,\n fa.artistid,\n fa.storeid,\n fa.countryid,\n i.isrc,\n i.isrcname AS track_name,\n fa.download_activity_date AS Activity_Date,\n SUM(fa.units) AS store_units\nFROM (SELECT * FROM {{ ref('base_fact_analytics') }} WHERE labelid != 32551) fa\nINNER JOIN {{ ref('base_dim_isrc') }} i ON i.isrcid=fa.isrcid\nLEFT JOIN {{ ref('base_dim_licensor') }} l ON fa.licensorid = l.licensorid\nWHERE download_activity_date BETWEEN DATEADD(day,-9,CURRENT_DATE()) \nAND DATEADD(day,-2,CURRENT_DATE())\nAND transactiontypeid IN (37,38,10,1)\nAND fa.storeid = 286\nAND l.distributor != 'sme'\nAND releaseid IN (\n SELECT\n releaseid\nFROM {{ ref('base_dim_release') }}\nWHERE product_type_id=1)\nGROUP BY 1,2,3,4,5,6,7\n)\n\nSELECT\n row_number() over (ORDER BY s.isrc DESC) AS rowid,\n s.*\nFROM streams s", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_fact_analytics", "model.my_new_project.base_dim_isrc", "model.my_new_project.base_dim_licensor", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "table", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "analytics_last_7_days", "streaming_totals_last_7_days_isrc_level"], "unique_id": "model.my_new_project.streaming_totals_last_7_days_isrc_level", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/analytics_last_7_days/streaming_totals_last_7_days_isrc_level.sql", "original_file_path": "models/bi_analytics/analytics_last_7_days/streaming_totals_last_7_days_isrc_level.sql", "name": "streaming_totals_last_7_days_isrc_level", "alias": "streaming_totals_last_7_days_isrc_level", "checksum": {"name": "sha256", "checksum": "d7debe7d510f249b0210db863887cdc197f3938443aa2b3bc5b1add395a3c0ef"}, "tags": [], "refs": [["base_fact_analytics"], ["base_dim_isrc"], ["base_dim_licensor"], ["base_dim_release"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "table"}, "created_at": 1660067941.108205}, "model.my_new_project.base_stg_raw_deezer": {"raw_sql": "select\nrd.*,\nr.labelid\n\nfrom {{ source('prod','staging_raw_deezer_v2')}} rd\ninner join {{ ref('base_dim_release')}} r on (r.display_upc = rd.upc OR r.releaseid = TRY_TO_NUMBER(rd.upc))\n AND r.product_type = 'digital'\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_deezer_v2", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_deezer"], "unique_id": "model.my_new_project.base_stg_raw_deezer", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_deezer.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_deezer.sql", "name": "base_stg_raw_deezer", "alias": "base_stg_raw_deezer", "checksum": {"name": "sha256", "checksum": "7904ffdcf5a045aa900d4f5c12e87d53361f125c8f74c052300df0f2156c41da"}, "tags": [], "refs": [["base_dim_release"]], "sources": [["prod", "staging_raw_deezer_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1171532}, "model.my_new_project.base_stg_raw_uma": {"raw_sql": "SELECT \nu.*, \nr.LABELID as label_id\nFROM {{ source('prod','staging_raw_uma') }} u\n\n--LEFT JOIN {{ ref('base_dim_track') }} t ON u.isrc_official_track = t.isrc and u.upc_physical_album_product = t.upc\nLEFT JOIN {{ ref('base_dim_release') }} r ON try_to_numeric(u.upc_physical_album_product) = r.releaseid\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\n--AND rs.licensor = 'theorchard'\n-- a note from tech:\n-- All streams from staging_raw_uma are Orchard Only (no Sony Data)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_uma", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_uma"], "unique_id": "model.my_new_project.base_stg_raw_uma", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_uma.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_uma.sql", "name": "base_stg_raw_uma", "alias": "base_stg_raw_uma", "checksum": {"name": "sha256", "checksum": "b6e35faf18ad54a4309cecca13cabb154a8e92bab9677e562fdb451fffe08134"}, "tags": [], "refs": [["base_dim_track"], ["base_dim_release"]], "sources": [["prod", "staging_raw_uma"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.125494}, "model.my_new_project.base_stg_raw_apple_summary": {"raw_sql": "SELECT \na.*, \nt.LABELID as label_id\nFROM {{ source('prod','staging_raw_apple_music_summary_streams') }} a\n\nLEFT JOIN {{ ref('base_dim_track') }} t ON a.isrc = t.isrc\n\nWHERE\n{% if target.name == 'default' %}\nt.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams", "model.my_new_project.base_dim_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_apple_summary"], "unique_id": "model.my_new_project.base_stg_raw_apple_summary", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_apple_summary.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_apple_summary.sql", "name": "base_stg_raw_apple_summary", "alias": "base_stg_raw_apple_summary", "checksum": {"name": "sha256", "checksum": "f508f35ba8dc70306e6b66aa9a31b229d3e4d387bb7c1778dced9e1f17d44c0a"}, "tags": [], "refs": [["base_dim_track"]], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1363642}, "model.my_new_project.base_stg_raw_apple_nonroyalty_summary": {"raw_sql": "SELECT \na.*, \nt.LABELID as label_id\nFROM {{ source('prod','staging_raw_apple_music_nonroyalty_summary_streams') }} a\n\nLEFT JOIN {{ ref('base_dim_track') }} t ON a.isrc = t.isrc\n\nWHERE\n{% if target.name == 'default' %}\nt.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_nonroyalty_summary_streams", "model.my_new_project.base_dim_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_apple_nonroyalty_summary"], "unique_id": "model.my_new_project.base_stg_raw_apple_nonroyalty_summary", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_apple_nonroyalty_summary.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_apple_nonroyalty_summary.sql", "name": "base_stg_raw_apple_nonroyalty_summary", "alias": "base_stg_raw_apple_nonroyalty_summary", "checksum": {"name": "sha256", "checksum": "b9f38b9db417dd7d68bb4dd1ded3887fa5294b85ed262108a2d9d863cf84beca"}, "tags": [], "refs": [["base_dim_track"]], "sources": [["prod", "staging_raw_apple_music_nonroyalty_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1449318}, "model.my_new_project.base_stg_raw_soundcloud": {"raw_sql": "SELECT\nsrs.row_id,\nsrs.ingestion_time,\nsrs.download_date,\nsrs.reporting_start_date,\nsrs.reporting_end_date,\nsrs.country,\nsrs.customer_id,\nsrs.track_id,\nsrs.isrc,\nsrs.time_stamp,\nsrs.operating_system,\nsrs.client_application,\nsrs.playlist_type,\nsrs.playlist_id,\nsrs.position_in_playlist,\nsrs.track_to_playlist,\nsrs.play_length,\nsrs.track_favourited,\nsrs.track_reposted_shared,\nsrs.track_message_posted,\nsrs.track_to_playlist_added,\n\nsdp.playlist_name,\n\ntrackinformation.album_code,\ntrackinformation.album_artist,\ntrackinformation.track_artist,\ntrackinformation.track_title,\ntrackinformation.album_name,\ntrackinformation.track_permalink,\ntrackinformation.album_permalink,\ntrackinformation.track_supply_chain_status,\ntrackinformation.track_length,\n\ncustomerdata.country as user_country,\ncustomerdata.signup_year as signup_year,\ncustomerdata.subs_last_premium_trial_end,\ncustomerdata.subs_last_subscription_start,\ncustomerdata.subs_last_subscription_end,\ncustomerdata.user_age,\ncustomerdata.user_gender,\ncustomerdata.user_city,\ncustomerdata.user_region,\ncustomerdata.subs_last_subscription_tier,\n\ndim_release.LABELID\nFROM {{ source('prod','staging_raw_soundcloud_streamlevelreport') }} srs\n\nINNER JOIN {{ source('prod','staging_raw_soundcloud_trackinformation') }} trackinformation \n ON trackinformation.track_id = srs.track_id \n AND trackinformation.download_date = srs.download_date\n\nINNER JOIN {{ source('prod','staging_raw_soundcloud_customerdata') }} customerdata\n ON customerdata.customer_id = srs.customer_id\n AND customerdata.download_date = srs.download_date\n AND customerdata.country = srs.country\n\nLEFT JOIN {{ ref('soundcloud_dim_playlist') }} sdp\n ON sdp.playlist_id = srs.playlist_id\n\n--{{ dbt_orch_utils.soundcloud_raw_joins(streamlevelreport='srs', customerdata='customerdata', trackinformation='trackinformation') }}\n\nWHERE\n{% if target.name == 'default' %}\ndim_release.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}", "resource_type": "model", "depends_on": {"macros": ["macro.dbt_orch_utils.soundcloud_raw_joins"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_streamlevelreport", "source.my_new_project.prod.staging_raw_soundcloud_trackinformation", "source.my_new_project.prod.staging_raw_soundcloud_customerdata", "model.my_new_project.soundcloud_dim_playlist", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.base_dim_country"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_soundcloud"], "unique_id": "model.my_new_project.base_stg_raw_soundcloud", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_soundcloud.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_soundcloud.sql", "name": "base_stg_raw_soundcloud", "alias": "base_stg_raw_soundcloud", "checksum": {"name": "sha256", "checksum": "44aca5f229ef5afc8b41ddefbc9d201426613945d249579d88106c87162767ca"}, "tags": [], "refs": [["soundcloud_dim_playlist"], ["base_dim_release"], ["base_dim_track_clean_mv"], ["base_dim_country"]], "sources": [["prod", "staging_raw_soundcloud_streamlevelreport"], ["prod", "staging_raw_soundcloud_trackinformation"], ["prod", "staging_raw_soundcloud_customerdata"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1537633}, "model.my_new_project.base_stg_apple_summary_streams_unioned": {"raw_sql": "SELECT \na.*, \nr.releaseid as upc,\nr.LABELID as label_id,\n'Streams' as stream_type\nFROM {{ source('prod','staging_raw_apple_music_summary_streams') }} a\n\nINNER JOIN {{ ref('base_apple_id_mapping') }} am ON a.apple_identifier = am.apple_id\n\nINNER JOIN {{ ref('base_dim_release') }} r ON try_to_numeric(am.upc) = r.releaseid\n\nWHERE a.vendor_name in ('80028967', '80029727', '80032046', '80032543', '80034465')\n\nAND \n\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\n\nAND am.album_or_track = 'track'\n\nunion all \n\nSELECT \na.*, \nr.releaseid as upc,\nr.LABELID as label_id,\n'Skips' as stream_type\nFROM {{ source('prod','staging_raw_apple_music_nonroyalty_summary_streams') }} a\n\nINNER JOIN {{ ref('base_apple_id_mapping') }} am ON a.apple_identifier = am.apple_id\n\nINNER JOIN {{ ref('base_dim_release') }} r ON try_to_numeric(am.upc) = r.releaseid\n\nWHERE a.vendor_name in ('80028967', '80029727', '80032046', '80032543', '80034465', '80031998')\n\nAND\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\n\nAND am.album_or_track = 'track'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams", "source.my_new_project.prod.staging_raw_apple_music_nonroyalty_summary_streams", "model.my_new_project.base_apple_id_mapping", "model.my_new_project.base_dim_release", "model.my_new_project.base_apple_id_mapping", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_apple_summary_streams_unioned"], "unique_id": "model.my_new_project.base_stg_apple_summary_streams_unioned", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_apple_summary_streams_unioned.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_apple_summary_streams_unioned.sql", "name": "base_stg_apple_summary_streams_unioned", "alias": "base_stg_apple_summary_streams_unioned", "checksum": {"name": "sha256", "checksum": "517fcc0a8f2c1e079668247b3aed593d1016aafbd1698f1c385b133aefdad770"}, "tags": [], "refs": [["base_apple_id_mapping"], ["base_dim_release"], ["base_apple_id_mapping"], ["base_dim_release"]], "sources": [["prod", "staging_raw_apple_music_summary_streams"], ["prod", "staging_raw_apple_music_nonroyalty_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1676595}, "model.my_new_project.base_stg_raw_apple_container": {"raw_sql": "SELECT \nac.*, \nr.LABELID,\nr.releaseid as upc,\nam.apple_id,\nsm.sub_container_name,\nsm.container_type_name\n\nFROM {{ source('prod','staging_raw_apple_music_container') }} ac\n\nLEFT JOIN {{ ref('base_apple_id_mapping') }} am on ac.apple_identifier = am.apple_id\n--LEFT JOIN {{ ref('base_dim_track') }} r ON am.isrc = r.isrc and am.upc = r.upc \nLEFT JOIN {{ ref('base_dim_release') }} r ON try_to_numeric(am.upc) = r.releaseid\nleft join {{ source('prod','apple_music_container_subtype_mapping') }} sm on ac.container_subtype = sm.sub_container_type\nWHERE ac.vendor_name in ('80028967', '80029727', '80032046', '80032543', '80034465', '80031998')\nAND\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\n--AND rs.licensor = 'theorchard'\nAND am.album_or_track = 'track'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_container", "source.my_new_project.prod.apple_music_container_subtype_mapping", "model.my_new_project.base_apple_id_mapping", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_apple_container"], "unique_id": "model.my_new_project.base_stg_raw_apple_container", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_apple_container.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_apple_container.sql", "name": "base_stg_raw_apple_container", "alias": "base_stg_raw_apple_container", "checksum": {"name": "sha256", "checksum": "36182a276ada1a4999f26c06a7cd57d9b2f75429ce4ecf2c66a2904ea99edd8d"}, "tags": [], "refs": [["base_apple_id_mapping"], ["base_dim_track"], ["base_dim_release"]], "sources": [["prod", "staging_raw_apple_music_container"], ["prod", "apple_music_container_subtype_mapping"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1807516}, "model.my_new_project.base_stg_raw_pandora": {"raw_sql": "SELECT \np.*, \nr.LABELID as label_id\nFROM {{ source('prod','staging_raw_pandora') }} p\n\n--LEFT JOIN {{ ref('base_dim_track') }} t ON to_varchar(p.isrc) = t.isrc and try_to_numeric(p.upc) = t.upc\nLEFT JOIN {{ ref('base_dim_release') }} r ON try_to_numeric(p.upc) = r.releaseid\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\nAND p.licensor = 'theorchard'\n-- a note from tech:\n-- All streams from staging_raw_uma are Orchard Only (no Sony Data)", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_pandora", "model.my_new_project.base_dim_track", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_pandora"], "unique_id": "model.my_new_project.base_stg_raw_pandora", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_pandora.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_pandora.sql", "name": "base_stg_raw_pandora", "alias": "base_stg_raw_pandora", "checksum": {"name": "sha256", "checksum": "b85466e91f4242c5433912edb7ef9a4d27b87249bd261a0bdd6cebcbd3c02ad1"}, "tags": [], "refs": [["base_dim_track"], ["base_dim_release"]], "sources": [["prod", "staging_raw_pandora"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.1907935}, "model.my_new_project.base_stg_raw_amazon_adsupported": {"raw_sql": "SELECT \nra.*, \nr.LABELID\nFROM {{ source('prod','staging_raw_amazon_adsupported') }} ra\n\nINNER JOIN {{ ref('base_dim_release') }} r ON r.display_upc = ra.upccode and r.product_type = 'digital'\n\n--LEFT JOIN {{ ref('base_dim_track') }} r ON try_to_numeric(ra.upccode) = r.upc and to_varchar(ra.isrctracknumber) = r.isrc\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\nAND ra.licensor = 'theorchard' or ra.licensor = 'awal'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_amazon_adsupported", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_amazon_adsupported"], "unique_id": "model.my_new_project.base_stg_raw_amazon_adsupported", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_amazon_adsupported.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_amazon_adsupported.sql", "name": "base_stg_raw_amazon_adsupported", "alias": "base_stg_raw_amazon_adsupported", "checksum": {"name": "sha256", "checksum": "2fa35d3a79419a73a262ac066def4bb2bd353a7db484f192606f888a64b101db"}, "tags": [], "refs": [["base_dim_release"], ["base_dim_track"]], "sources": [["prod", "staging_raw_amazon_adsupported"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2018197}, "model.my_new_project.base_stg_raw_line": {"raw_sql": "select\nl.*,\nr.labelid\n\nfrom {{ source('prod','staging_raw_line_place')}} l\ninner join {{ ref('base_dim_release')}} r on l.upc = r.releaseid\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_line_place", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_line"], "unique_id": "model.my_new_project.base_stg_raw_line", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_line.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_line.sql", "name": "base_stg_raw_line", "alias": "base_stg_raw_line", "checksum": {"name": "sha256", "checksum": "16ab9711dc97ebbcb1cb3b44119a9ff3ec1cd6f7ad0c6ea105d55c95db8d23a6"}, "tags": [], "refs": [["base_dim_release"]], "sources": [["prod", "staging_raw_line_place"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2111266}, "model.my_new_project.base_stg_raw_amazon_prime": {"raw_sql": "SELECT \nra.*, \nr.LABELID\nFROM {{ source('prod','staging_raw_amazon_prime') }} ra\n\nINNER JOIN {{ ref('base_dim_release') }} r ON r.display_upc = ra.upccode and r.product_type = 'digital'\n--LEFT JOIN {{ ref('base_dim_track') }} r ON try_to_numeric(ra.upccode) = r.upc and to_varchar(ra.isrctracknumber) = r.isrc\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\nAND ra.licensor = 'theorchard' or ra.licensor = 'awal'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_amazon_prime", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_amazon_prime"], "unique_id": "model.my_new_project.base_stg_raw_amazon_prime", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_amazon_prime.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_amazon_prime.sql", "name": "base_stg_raw_amazon_prime", "alias": "base_stg_raw_amazon_prime", "checksum": {"name": "sha256", "checksum": "de5d4a620598ba56aa5086c3e680b3746281a81fb1851287578d292d7ffacb62"}, "tags": [], "refs": [["base_dim_release"], ["base_dim_track"]], "sources": [["prod", "staging_raw_amazon_prime"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2195945}, "model.my_new_project.base_stg_raw_amazon_unlimited": {"raw_sql": "SELECT \nra.*, \nr.LABELID\nFROM {{ source('prod','staging_raw_amazon_unlimited') }} ra\n\nINNER JOIN {{ ref('base_dim_release') }} r ON r.display_upc = ra.upccode and r.product_type = 'digital'\n--LEFT JOIN {{ ref('base_dim_track') }} r ON try_to_numeric(ra.upccode) = r.upc and to_varchar(ra.isrctracknumber) = r.isrc\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\nAND ra.licensor = 'theorchard' or ra.licensor = 'awal'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_amazon_unlimited", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_amazon_unlimited"], "unique_id": "model.my_new_project.base_stg_raw_amazon_unlimited", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_amazon_unlimited.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_amazon_unlimited.sql", "name": "base_stg_raw_amazon_unlimited", "alias": "base_stg_raw_amazon_unlimited", "checksum": {"name": "sha256", "checksum": "0ba75088e53d8b425098fb7e5ba470290382f399b7dde355e579d7da45962ea3"}, "tags": [], "refs": [["base_dim_release"], ["base_dim_track"]], "sources": [["prod", "staging_raw_amazon_unlimited"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.228614}, "model.my_new_project.base_stg_apple_streams_unioned": {"raw_sql": "SELECT a.row_id,\n a.processed_daytime,\n a.download_date,\n a.vendor_name,\n a.datestamp,\n a.ingest_datestamp,\n a.apple_identifier,\n a.storefront_name,\n a.membership,\n a.membership_mode,\n a.postal_code,\n a.device,\n a.operating_system,\n a.utc_offset,\n a.action_type,\n a.end_reason_type,\n a.offline,\n a.source_of_stream,\n a.container_type,\n a.stream_timestamp,\n a.stream_start_position,\n a.stream_duration,\n a.playlist_type,\n a.playlist_id,\n a.playlist_name,\n a.isrc,\n a.item_title,\n a.item_artist,\n a.item_type,\n a.media_type,\n a.vendor_identifier,\n a.item_artist_id,\n a.customer_identifier,\n r.releaseid as upc,\n r.LABELID as label_id,\n 'Streams' as stream_type\nFROM {{ source('prod', 'staging_raw_apple_music_streams') }} a\n\nINNER JOIN {{ ref('base_apple_id_mapping') }} am\nON a.apple_identifier = am.apple_id\n INNER JOIN {{ ref ('base_dim_release') }} r ON try_to_numeric(am.upc) = r.releaseid\n\nWHERE\n a.vendor_name in ('80028967', '80029727', '80032046', '80032543', '80034465')\n\n AND\n {% if target.name == 'default' %}\n r.LABELID IN ({{ var('test_labels')}})\n {% else %}\n 1=1\n {% endif %}\n\n AND am.album_or_track = 'track'\n\nunion all\n\nSELECT a.row_id,\n a.processed_daytime,\n a.download_date,\n a.vendor_name,\n a.datestamp,\n a.ingest_datestamp,\n a.apple_identifier,\n a.storefront_name,\n a.membership,\n a.membership_mode,\n a.postal_code,\n a.device,\n a.operating_system,\n a.utc_offset,\n a.action_type,\n a.end_reason_type,\n a.offline,\n a.source_of_stream,\n a.container_type,\n a.stream_timestamp,\n a.stream_start_position,\n a.stream_duration,\n a.playlist_type,\n a.playlist_id,\n a.playlist_name,\n a.isrc,\n a.item_title,\n a.item_artist,\n a.item_type,\n a.media_type,\n a.vendor_identifier,\n a.item_artist_id,\n a.customer_identifier,\n r.releaseid as upc,\n r.LABELID as label_id,\n 'Skips' as stream_type\nFROM {{ source('prod', 'staging_raw_apple_music_nonroyalty_streams') }} a\n\nINNER JOIN {{ ref('base_apple_id_mapping') }} am\nON a.apple_identifier = am.apple_id\n INNER JOIN {{ ref ('base_dim_release') }} r ON try_to_numeric(am.upc) = r.releaseid\n\nWHERE\n a.vendor_name in ('80028967', '80029727', '80032046', '80032543', '80034465', '80031998')\n\n AND\n {% if target.name == 'default' %}\n r.LABELID IN ({{ var('test_labels')}})\n {% else %}\n 1=1\n {% endif %}\n\n AND am.album_or_track = 'track'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_streams", "source.my_new_project.prod.staging_raw_apple_music_nonroyalty_streams", "model.my_new_project.base_apple_id_mapping", "model.my_new_project.base_dim_release", "model.my_new_project.base_apple_id_mapping", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_apple_streams_unioned"], "unique_id": "model.my_new_project.base_stg_apple_streams_unioned", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_apple_streams_unioned.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_apple_streams_unioned.sql", "name": "base_stg_apple_streams_unioned", "alias": "base_stg_apple_streams_unioned", "checksum": {"name": "sha256", "checksum": "a46b653313c20c83aae85ce3bf135db62c7cd0a248aac945c89e687acca58297"}, "tags": [], "refs": [["base_apple_id_mapping"], ["base_dim_release"], ["base_apple_id_mapping"], ["base_dim_release"]], "sources": [["prod", "staging_raw_apple_music_streams"], ["prod", "staging_raw_apple_music_nonroyalty_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2377586}, "model.my_new_project.base_stg_raw_tiktok": {"raw_sql": "SELECT\nrt.download_date || '-' || rt.platform_name || '-' || rt.isrc || '-' || rt.platform_song_id || '-' || rt.product_code || '-' || rt.territory || '-' || rt.content_type AS PKEY,\nrt.*,\nr.labelid\n\nFROM {{ source('prod','staging_raw_tiktok') }} rt\nLEFT JOIN {{ ref('base_dim_release') }} r ON CAST(rt.product_code AS VARCHAR) = CAST(r.releaseid AS VARCHAR)\n\nWHERE rt.isrc IS NOT Null\nAND rt.product_code IS NOT Null\nAND r.labelid IS NOT Null\nAND rt.label_name = 'Orchard Enterprises NY, Inc.'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_tiktok", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_tiktok"], "unique_id": "model.my_new_project.base_stg_raw_tiktok", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_tiktok.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_tiktok.sql", "name": "base_stg_raw_tiktok", "alias": "base_stg_raw_tiktok", "checksum": {"name": "sha256", "checksum": "24ddc9b494c046fc79e9d95e60d2380d619204bba1a892a40124b2f5f9f617c5"}, "tags": [], "refs": [["base_dim_release"]], "sources": [["prod", "staging_raw_tiktok"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2496173}, "model.my_new_project.base_stg_raw_awa": {"raw_sql": "select\na.*,\nr.labelid\n\nfrom {{ source('prod','staging_raw_awa')}} a\ninner join {{ ref('base_dim_release')}} r on a.upc = r.releaseid\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\nand a.distributor_name = 'Orchard'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_awa", "model.my_new_project.base_dim_release"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_awa"], "unique_id": "model.my_new_project.base_stg_raw_awa", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_awa.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_awa.sql", "name": "base_stg_raw_awa", "alias": "base_stg_raw_awa", "checksum": {"name": "sha256", "checksum": "49520991b0891d6ea628566f121f2d09b19b35ed70af5eb2b444fdb225174f59"}, "tags": [], "refs": [["base_dim_release"]], "sources": [["prod", "staging_raw_awa"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2530015}, "model.my_new_project.base_stg_raw_spotify": {"raw_sql": "SELECT \nrs.*, \nr.LABELID\nFROM {{ source('prod','staging_raw_spotify_v2') }} rs\n\nINNER JOIN {{ ref('base_dim_release') }} r ON rs.upc = r.releaseid AND r.product_type = 'digital'\n--LEFT JOIN {{ ref('base_dim_track') }} r ON rs.upc = r.upc and rs.isrc = r.isrc\n\nWHERE\n{% if target.name == 'default' %}\nr.LABELID IN ({{ var('test_labels')}})\n{% else %}\n1=1\n{% endif %}\nAND rs.licensor = 'theorchard' or rs.licensor = 'awal'", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_spotify_v2", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_store_base", "base_stg_raw_spotify"], "unique_id": "model.my_new_project.base_stg_raw_spotify", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_store_base/base_stg_raw_spotify.sql", "original_file_path": "models/bi_analytics/bi_store_base/base_stg_raw_spotify.sql", "name": "base_stg_raw_spotify", "alias": "base_stg_raw_spotify", "checksum": {"name": "sha256", "checksum": "f9273e2493ac446e8adcdcddc318c596386a1c3654c43b767e5c72358877b2ac"}, "tags": [], "refs": [["base_dim_release"], ["base_dim_track"]], "sources": [["prod", "staging_raw_spotify_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.2618263}, "model.my_new_project.soundcloud_dim_playlist": {"raw_sql": "select distinct(playlist_id), playlist_name\nfrom {{ source('prod','staging_raw_soundcloud_playlistreporting') }}\nwhere playlist_name is not null", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_playlistreporting"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_soundcloud_models", "soundcloud_dim_playlist"], "unique_id": "model.my_new_project.soundcloud_dim_playlist", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_soundcloud_models/soundcloud_dim_playlist.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_soundcloud_models/soundcloud_dim_playlist.sql", "name": "soundcloud_dim_playlist", "alias": "soundcloud_dim_playlist", "checksum": {"name": "sha256", "checksum": "af751212bc99ed91afdd78cc9aa1c3ff888b6396de0e1ddcea01d9bad5cc31ce"}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_playlistreporting"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.272953}, "model.my_new_project.agg_soundcloud_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,isrc);'\n ]\n })\n}}\n\n\nselect\n to_date(s.time_stamp) as download_activity_date,\n to_date(s.ingestion_time) as ingestion_date,\n s.labelid as label_id, \n s.country as country, \n s.track_id as soundcloud_track_id,\n s.client_application as client_application,\n s.playlist_type as playlist_type,\n s.playlist_id as playlist_id,\n s.playlist_name as playlist_name,\n s.position_in_playlist as position_in_playlist,\n s.play_length as play_length_ms,\n s.track_favourited as track_favourited,\n s.track_message_posted as track_message_posted,\n s.track_reposted_shared as track_reposted_shared,\n s.track_to_playlist_added as track_to_playlist_added,\n s.operating_system,\n s.track_artist as artist_name,\n s.track_title as track_title,\n s.track_length as track_length,\n s.isrc as isrc, \n s.album_code as upc,\n s.album_artist as album_artist,\n s.album_name as album_name,\n s.customer_id as user_id,\n s.user_country as user_country,\n s.signup_year as user_signup_year,\n s.user_age as user_age,\n s.user_gender as user_gender,\n s.user_city as user_city,\n s.user_region as user_region,\n s.subs_last_subscription_tier as user_subscription_tier, \n\n SUM(IFF(s.play_length >= 0, s.play_length / 1000, 0)) as total_listening_time,\n AVG(IFF(s.play_length >= 0, s.play_length / 1000, 0)) as avg_listen_duration,\n\n sum(1) as streams -- anything over 30 seconds counts as a stream\n\nfrom {{ ref('base_stg_raw_soundcloud') }} s\n\nINNER JOIN {{ ref('base_dim_transaction_type') }} dim_transactiontype\n ON dim_transactiontype.transactiontypeabbr =\n CASE s.subs_last_subscription_tier\n WHEN 'high' THEN 'S'\n WHEN 'dj' THEN 'S'\n WHEN 'mid' THEN 'MT'\n WHEN 'student' THEN 'MT'\n WHEN 'free' THEN 'AS'\n END\n\nINNER JOIN {{ ref('base_dim_release') }} dim_release\n ON dim_release.releaseid = s.album_code\n\nINNER JOIN {{ ref('base_dim_track_clean_mv') }} dim_track\n ON dim_track.isrc = s.isrc\n AND dim_track.upc = dim_release.releaseid\n\nINNER JOIN {{ ref('base_dim_country') }} dim_country\n ON dim_country.country_code = s.country\n\nINNER JOIN {{ ref('base_dim_day') }} dim_day\n ON dim_day.displaydate = s.time_stamp::DATE\n\n\nWHERE\n {{ download_date_filter(date_column='download_activity_date') }}\n\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_soundcloud", "model.my_new_project.base_dim_transaction_type", "model.my_new_project.base_dim_release", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_day"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,isrc);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_soundcloud_models", "agg_soundcloud_model"], "unique_id": "model.my_new_project.agg_soundcloud_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_soundcloud_models/agg_soundcloud_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_soundcloud_models/agg_soundcloud_model.sql", "name": "agg_soundcloud_model", "alias": "agg_soundcloud_model", "checksum": {"name": "sha256", "checksum": "89aa61cc5cacce531334095334217851163615d857fd5fd876ce1df6293a38e4"}, "tags": [], "refs": [["base_stg_raw_soundcloud"], ["base_dim_transaction_type"], ["base_dim_release"], ["base_dim_track_clean_mv"], ["base_dim_country"], ["base_dim_day"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": "my_new_project://models/bi_analytics/bi_analytics_store_models/aggregated_soundcloud_models/schema.yml", "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,isrc);"]}, "created_at": 1660067941.9507596}, "model.my_new_project.agg_awa_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,label_id,isrc)'\n ]\n })\n}}\n\nselect\n a.download_date as download_activity_date,\n 'JP' as country_code,\n a.isrc as isrc,\n a.track_id as track_id,\n a.track_name as track_name,\n a.track_artist as track_artist,\n a.upc as upc,\n a.album_name as release_name,\n a.album_artist as release_artist,\n a.catalog_number as catalog_number,\n a.labelid as label_id,\n\n sum(a.trial_full+\n a.trial_highlight+\n a.pre_pre_full+\n a.pre_pre_highlight+\n a.pre_1_2week_standard_full+\n a.pre_1_2week_standard_highlight+\n a.pre_standard_full+\n a.pre_standard_highlight+\n a.pre_standard_2months_full+\n a.pre_standard_2months_highlight+\n a.pre_standard_3months_full+\n a.pre_standard_3months_highlight+\n a.free_full+\n a.free_highlight+\n a.standard_full+\n a.standard_highlight+\n a.os_yearly_full+\n a.os_yearly_highlight+\n a.standard_web_full+\n a.standard_web_highlight+\n a.web_yearly_full+\n a.web_yearly_highlight+\n a.standard_campaign_full+\n a.standard_campaign_highlight+\n a.standard_reward_full+\n a.standard_reward_highlight+\n a.standard_mineo_full+\n a.standard_mineo_highlight+\n a.docomo_standard_full+\n a.docomo_standard_highlight+\n a.au_standard_full+\n a.au_standard_highlight+\n a.softbank_standard_full+\n a.softbank_standard_highlight+\n a.docomo_yearly_standard_full+\n a.docomo_yearly_standard_highlight+\n a.au_yearly_standard_full+\n a.au_yearly_standard_highlight+\n a.softbank_yearly_standard_full+\n a.softbank_yearly_standard_highlight+\n a.skyperfectv_standard_full+\n a.skyperfectv_standard_highlight+\n a.student_web_full+\n a.student_web_highlight+\n a.docomo_student_standard_full+\n a.docomo_student_standard_highlight+\n a.au_student_standard_full+\n a.au_student_standard_highlight+\n a.softbank_student_standard_full+\n a.softbank_student_standard_highlight+\n a.convenience_standard_monthly_full+\n a.convenience_standard_monthly_highlight+\n a.convenience_standard_yearly_full+\n a.convenience_standard_yearly_highlight+\n a.convenience_student_monthly_full+\n a.convenience_student_monthly_highlight) as streams\n\nfrom {{ ref('base_stg_raw_awa') }} a\n\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON UPPER(dt.isrc) = UPPER(a.isrc) AND dt.upc = a.upc\n\nWHERE\n {{ download_date_filter(date_column='download_activity_date') }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11\norder by download_activity_date, label_id, isrc", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_awa", "model.my_new_project.base_dim_track_clean_mv"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,label_id,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_awa_models", "agg_awa_model"], "unique_id": "model.my_new_project.agg_awa_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_awa_models/agg_awa_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_awa_models/agg_awa_model.sql", "name": "agg_awa_model", "alias": "agg_awa_model", "checksum": {"name": "sha256", "checksum": "370bb116cd08959b7f7d3ff48cffcba9759ff003fb2584c26b58650e6a4e4995"}, "tags": [], "refs": [["base_stg_raw_awa"], ["base_dim_track_clean_mv"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": "my_new_project://models/bi_analytics/bi_analytics_store_models/aggregated_soundcloud_models/schema.yml", "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,label_id,isrc)"]}, "created_at": 1660067941.951628}, "model.my_new_project.agg_line_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (activity_date,label_id,isrc)'\n ]\n })\n}}\n\nselect\n to_date(l.dt) as activity_date,\n l.label_no as label_no,\n l.label_nm as distributor,\n l.track_ex_id as track_ex_id,\n l.track_nm as track_name,\n l.isrc as isrc,\n l.track_product_no as track_product_no,\n l.track_grid as track_grid,\n l.artist_ex_id as atrist_ex_id,\n l.artist_nm as artist_name,\n l.album_disc_no as album_disc_no,\n l.album_track_no as album_track_no,\n l.album_ex_id as album_ex_id,\n l.album_nm as album_name,\n l.upc as upc,\n l.labelid as label_id,\n dc.country_code as country,\n l.catalog_no as catalog_no,\n l.package_no as package_no,\n l.album_grid as album_grid,\n l.place_category as place_category,\n l.app_place_category as app_place_category,\n sum(l.play_count) as streams\n\nfrom {{ref('base_stg_raw_line')}} l\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = l.dt::DATE\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = 'JP'\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON dt.isrc = l.isrc AND dt.upc = l.upc\n\n\nWHERE\n {{ download_date_filter() }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22\norder by activity_date,label_id,isrc", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_line", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (activity_date,label_id,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_line_models", "agg_line_model"], "unique_id": "model.my_new_project.agg_line_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_line_models/agg_line_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_line_models/agg_line_model.sql", "name": "agg_line_model", "alias": "agg_line_model", "checksum": {"name": "sha256", "checksum": "5c59e64c2b11f70bbd3b0c2635b1d4ecf12473e5877d769108f1138562f6fcee"}, "tags": [], "refs": [["base_stg_raw_line"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (activity_date,label_id,isrc)"]}, "created_at": 1660067941.3029954}, "model.my_new_project.agg_tiktok_model_temp_efedorov": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'pkey', \n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (activity_date, transaction_country_abb);',\n ]\n })\n}}\n\nSELECT\nrt.pkey AS pkey,\nrt.download_date AS activity_date,\nrt.platform_name AS store_name,\nrt.platform_song_id AS tiktok_track_id,\nrt.isrc AS isrc,\nrt.product_code AS upc,\nrt.labelid AS label_id,\nrt.song_title AS track_title,\nrt.artist AS track_artist,\nrt.album AS release_name,\nrt.label_name AS licensor,\nrt.sublabel AS imprint,\nrt.label_provided_genre AS orchard_provided_genre,\nrt.platform_classified_genre AS tiktok_genre,\nrt.territory AS transaction_country_abb,\nrt.content_type AS transaction_type,\nSUM(rt.creations) AS creations,\nSUM(rt.video_views) AS video_views,\nSUM(rt.comments) AS comments,\nSUM(rt.likes) AS likes,\nSUM(rt.shares) AS shares,\nSUM(rt.favorites) AS favorites,\nrt.avg_watchtime AS avg_watchtime\n\nFROM {{ ref('base_stg_raw_tiktok')}} rt\nwhere download_date > '2022-04-20'\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,23", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_tiktok"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "pkey", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (activity_date, transaction_country_abb);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_tiktok_models", "agg_tiktok_model_temp_efedorov"], "unique_id": "model.my_new_project.agg_tiktok_model_temp_efedorov", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_tiktok_models/agg_tiktok_model_temp_efedorov.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_tiktok_models/agg_tiktok_model_temp_efedorov.sql", "name": "agg_tiktok_model_temp_efedorov", "alias": "agg_tiktok_model_temp_efedorov", "checksum": {"name": "sha256", "checksum": "5ec44bc1ac4695b78ba9261d9070b1ba05880b98fef672c439a85ec0d8fc619b"}, "tags": [], "refs": [["base_stg_raw_tiktok"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "pkey", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (activity_date, transaction_country_abb);"]}, "created_at": 1660067941.3171217}, "model.my_new_project.agg_tiktok_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'pkey', \n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (activity_date, transaction_country_abb)'\n ]\n })\n}}\n\nSELECT\nrt.pkey AS pkey,\nrt.download_date AS activity_date,\nrt.platform_name AS store_name,\nrt.platform_song_id AS tiktok_track_id,\nrt.isrc AS isrc,\nrt.product_code AS upc,\nrt.labelid AS label_id,\nrt.song_title AS track_title,\nrt.artist AS track_artist,\nrt.album AS release_name,\nrt.label_name AS licensor,\nrt.sublabel AS imprint,\nrt.label_provided_genre AS orchard_provided_genre,\nrt.platform_classified_genre AS tiktok_genre,\nrt.territory AS transaction_country_abb,\nrt.content_type AS transaction_type,\nSUM(rt.creations) AS creations,\nSUM(rt.video_views) AS video_views,\nSUM(rt.comments) AS comments,\nSUM(rt.likes) AS likes,\nSUM(rt.shares) AS shares,\nSUM(rt.favorites) AS favorites,\nrt.avg_watchtime AS avg_watchtime\n\nFROM {{ ref('base_stg_raw_tiktok')}} rt\n\nGROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,23", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_tiktok"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "pkey", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (activity_date, transaction_country_abb)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_tiktok_models", "agg_tiktok_model"], "unique_id": "model.my_new_project.agg_tiktok_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_tiktok_models/agg_tiktok_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_tiktok_models/agg_tiktok_model.sql", "name": "agg_tiktok_model", "alias": "agg_tiktok_model", "checksum": {"name": "sha256", "checksum": "dc8d350c39740952e2f764efd6e728a34283c2685a5e23717b54fd3565d507f8"}, "tags": [], "refs": [["base_stg_raw_tiktok"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "pkey", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (activity_date, transaction_country_abb)"]}, "created_at": 1660067941.3285584}, "model.my_new_project.agg_pandora_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,source,isrc)'\n ]\n })\n}}\n\n\nselect\n to_date(p.play_time) as download_activity_date,\n p.label_id as label_id, \n p.play_type as play_type, --Options: stream, spin, unknown, replay, play\n p.country as country, --transaction country\n p.gender as gender, --Options: M, F, U (Unknown), N (Null)\n p.age_bucket as age_bucket,\n p.device_category as device_category, --device top tier groupings: Other, SMARTPHONES, Car, Browser, TEST, NULL, Windows Mobile, Mobile phone, Blackberry, Android, COMMERCIAL, SMARTWATCH, Wearable, CE_HOME, Voice Activated, WEB, TABLET_E_READER, OTHER, BluRay, Connected Audio Device, Computer, Unknown, IN_VEHICLE, Tablet, iOS\n p.device_type as device_type, --device 2nd tier groupings: Other, AV_RECEIVERS, GAME_CONSOLE, Car, Browser, TEST, NULL, OVER_THE_TOP_STB, DMX, AUTO_OEM, PALM, VOICE_ACTIVATED, Windows Mobile, Mobile Phone, Blackberry, Android, HTML5, AUTO_AFTERMARKET, TABLE_TOP_RADIO, IOS, APPLIANCE, WINDOWS_MOBILE, Wearable, BLACKBERRY, Voice Activated, HOME_THEATER, WEB, OTHER, PORTABLE, Connected Audio Device, BluRay, TV, BLU_RAY, AUTO_DEFAULT, E_READER, ANDROID, STEREO_CONNECTED, OPERATOR_PROVISIONED_STB, Computer, Unknown, Tablet, iOS\n p.listener_state as listener_state, --transaction type\n p.subscription_type as subscription_type, --product type (yearly subscription, persistent, 1 mon sub etc)\n p.cached as cached, --cached play\n p.source as source, --source\n p.source_id as source_id,\n p.source_name as source_name, --source detail (station/playlist name etc)\n p.source_detail as source_detail,\n p.artist_id as artist_id,\n p.artist_name as artist_name,\n p.artist_uri as artist_uri, \n p.track_title as track_title,\n p.track_uri as track_uri,\n p.isrc as isrc, \n p.upc as upc, \n p.partner_id as partner_id,\n p.hashed_listener as hashed_listener, --user id\n p.licensor as licensor,\n p.platform as platform, --options: NULL, Legacy Pandora, PandoraX\n\n SUM(IFF(p.elapsed_seconds >= 0, p.elapsed_seconds, 0)) as total_listening_time,\n AVG(IFF(p.elapsed_seconds >= 0, p.elapsed_seconds, 0)) as avg_listen_duration,\n\n count(row_id) as streams -- anything over 0 seconds counts as a stream\n\n --zeroifnull(count_if(p.elapsed_seconds >= 30)) as streams,\n --zeroifnull(count_if(p.elapsed_seconds < 30)) as skips\n\n\nfrom {{ ref('base_stg_raw_pandora') }} p\n\nwhere\n {{ download_date_filter(date_column='download_activity_date') }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,\n13,14,15,16,17,18,19,20,21,22,23,24,\n25,26", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_pandora"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,source,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_pandora_models", "agg_pandora_model"], "unique_id": "model.my_new_project.agg_pandora_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_pandora_models/agg_pandora_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_pandora_models/agg_pandora_model.sql", "name": "agg_pandora_model", "alias": "agg_pandora_model", "checksum": {"name": "sha256", "checksum": "ac4c23ee3b19d6621410251756e396f91bf6e565dbefd9f4976ea880d1e84c4a"}, "tags": [], "refs": [["base_stg_raw_pandora"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,source,isrc)"]}, "created_at": 1660067941.339374}, "model.my_new_project.agg_uma_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,stream_source_type,isrc_official_track)'\n ]\n })\n}}\n\nselect\n to_date(u.timestamp_of_activity) as download_activity_date, --activity date\n u.activity_type as activity_type, --activity being reported 1 = streaming activity (any length); 2 = collection activity around a particular song (saves, thumbs, hearts, etc.) where the track is added to the user's collection, report a 2\n u.activity_key as activity_key, --PA = Paid Streaming Activity; FA = Free Streaming Activity\n u.customer_key as customer_key, --customer ID\n u.vendor_key as vendor_key, --key for b2b vendor name provided by Sony\n u.track_key as track_key, --service specific code to identify track in providers catalog\n u.stream_source_key as stream_source_key, --unique source identifier \n u.country as country, --transaction country\n u.user_country as user_country, --user country\n u.gender as gender, --gender\n u.birth_year as birth_year, --birth year of user\n\n case\n when (year(current_date) - birth_year) >= 60 then '60+'\n when (year(current_date) - birth_year) >= 45 and (year(current_date) - birth_year) < 60 then '45-59'\n when (year(current_date) - birth_year) >= 35 and (year(current_date) - birth_year) < 45 then '35-44'\n when (year(current_date) - birth_year) >= 28 and (year(current_date) - birth_year) < 35 then '28-34'\n when (year(current_date) - birth_year) >= 23 and (year(current_date) - birth_year) < 28 then '23-27'\n when (year(current_date) - birth_year) >= 18 and (year(current_date) - birth_year) < 23 then '18-22'\n when (year(current_date) - birth_year) >= 0 and (year(current_date) - birth_year) < 18 then '0-17'\n else 'Unknown'\n end as user_age_group, --user age group (groups defined in same groupings as Spotify definitions)\n\n u.location_of_track_in_playlist as location_of_track_in_playlist, --track location in playlist/chart\n u.shuffle_mode as shuffle_mode, --1 = Shuffled Play; 2 = Playing tracks in order presented to the user; Null = All other plays\n u.device_type as device_type, --0 = Desktop; 1 = Mobile; 2 = Tablet; 3 = In-dash car integration; 4 = mobile to car tether; 5 = connected home tv; 6 = connected home audio; 7 = gaming system; 8 = Voice controlled device; 9 = Other\n u.os_type as os_type, --os type\n u.artist_fan as artist_fan, --1 = user is a follwer/fan of artist; 0 = not a follower\n u.end_reason_type as end_reason_type, --1 = skipped to next track; 2 = switched source of stream; 3 = completed track; 4 = user initiated stop; 5 = end session; null = unknown\n u.platform_name as platform_name, --options: VK, OK, BOOM+VK, BOOM+OK - VK and OK are social media platforms and BOOM is the mobile version of each platform\n u.provider_genre as provider_genre, --provider genre \n u.label_id as label_id, --label id\n u.participant_full_name as participant_full_name, --artist name\n u.track_title as track_title, --track name\n u.isrc_official_track as isrc_official_track, --isrc\n u.upc_physical_album_product as upc_physical_album_product, --upc\n u.product_title as product_title, --release name\n u.grid_official_digital_id as grid_official_digital_id, --global release identifier - global industry standard for digial use by RIAA and IFPI\n u.number_of_tracks_in_playlist_chart as number_of_tracks_in_playlist_chart, --for any playlist or chart, returnns the total tracks currently included. If a station or indeterminent lenth, returns a null value\n u.station_playlist_chart_followers as station_playlist_chart_followers, --For any playlist, chart, or seeded radio station, return the current number of users following the asset.\n u.stream_source_type as stream_source_type, --1 = Search; 2 = artist profile page; 3 = Content pages (for content provider-delivered album / track / playlist products outside of the collection); 4 = user created playlist and other user created areas; 5=Followed/Saved 3rd Party Artists or Playlists in the User's Collection; 6=Promotional areas curated by the provider (such as a recommended music page or \"Browse\" area); 7=\"Recent Activity\" feature; 8=API Partner integration; 9=Semi-interactive radio station; 10=Charts and algorithmic selections controlled by the provider; 11=All other areas; 12 is for streams from communities; 13 is for streams from messages; 14 is for streams from news feed; *other categories may be added over time to capture alternate streaming sources.; -1 is for undefined streaming source \n u.stream_source_detail as stream_source_detail, --If the source of stream is an API partner, return a unique code for the API Partner, for all content features return the URI/permalink to the chart, album, playlist, radio station, or relevant content page.\n u.station_playlist_chart_name as station_playlist_chart_name, --playlist/station/chart name\n u.station_playlist_chart_owner_id as station_playlist_chart_owner_id, --playlist/station/chart owner id\n u.total_playlists_in_collection as total_playlists_in_collection, --The current number of playlists the user is following. FYI this number should equal the total from Personal Playlists, 3rd-Party Playlists, SME Playlists, and Promoted Playlists.\n u.personal_playlists_in_collection as personal_playlists_in_collection, --current number of personal playlists user is following\n u.third_party_playlists_excluding_sme_products_in_collection \n as third_party_playlists_excluding_sme_products_in_collection, --current number of 3rd party playlists user is following\n u.sme_playlists_in_collection as sme_playlists_in_collection, --current number of sme playlists user is following\n u.promoted_playlists_in_collection as promoted_playlists_in_collection, --current number of promoted playlists user is following\n u.profile_follows as profile_follows, --current number of user accounts the user is following\n u.sme_account_follows as sme_account_follows, --current number of sme accounts the user is following\n u.total_tracks_in_collection as total_tracks_in_collection, --The current number of user-selected tracks saved to their collection across all providers.\n u.sme_tracks_in_collection as sme_tracks_in_collection, --The current number of user-selected SME tracks saved to their collection.\n u.total_albums_in_collection as total_albums_in_collection, --The total user-selected albums saved to the user's collection across all providers.\n u.sme_albums_in_collection as sme_albums_in_collection, --The total user-selected SME albums saved to the user's collection across all providers.\n u.number_of_useruploaded_assets as number_of_useruploaded_assets, --For services that allow users to upload music files or original UGC items, this field reports the current number of UGC items hosted by the partner.\n u.household_size as household_size, --Number of people in the user household (e.g. 4). Return NULL if not provided.\n u.children as children, --Does the user have children in their household? Y or N. Return NULL if not provided.\n u.account_creation_date as account_creation_date, --Date of User Account creation, as YYYYMMDD\n u.cohort_month_for_current_streaming_tier as cohort_month_for_current_streaming_tier, --The Cohort Month of the Current Streaming Tier represents the month that the user joined their current service tier (Format: YYYYMM).\n u.previous_paid_subscriber as previous_paid_subscriber, --If the user has subscribed previously to a paid tier (before the current tier they are in) return a \"Y\", otherwise \"N\".\n u.subscription_end_date_of_previous_paid_tier as subscription_end_date_of_previous_paid_tier, --This is the date the user last subscribed to a paid tier for the provider; if the user has never subscribed before, return NULL.\n u.departure_rationale_for_previous_paid_tier as departure_rationale_for_previous_paid_tier, --NULL=No previous paid subscription; 1=User ended the subscription; 2=Subscription terminated for payment reasons; 3=Other/Unknown\n u.subscriber_login_type as subscriber_login_type, --The method of user login (at Account Creation Date)*:\u00b7 E \u2013 Email; \u00b7 F \u2013 Facebook; \u00b7 G \u2013 Google; \u00b7 T \u2013 Twitter; \u00b7 U \u2013 User Account Name; \u00b7 A \u2013 Provider auto-created account name; \u00b7 O \u2013 Other; \u00b7 *if Account Creation Date is unavailable, then provide back the earliest known category\n u.payment_method_type as payment_method_type, --Use one of the following categories to denote the type of payment registered:\u00b7 NP - No payment method captured; \u00b7 CC - Credit Card on file; \u00b7 BA - Hard Bundle Account; \u00b7 CB - Carrier Billing auto-debit; \u00b7 PP - Paypal or other online payment provider (Amazon); \u00b7 AB - Apple iOS in-app auto-billing; \u00b7 GB - Google Android in-app auto-billing; \u00b7 PM - Premium message billing; \u00b7 PR - Prepaid account, incentive account, or gift card with no payment method registered; \u00b7 OP - Other payment method.\n u.subscription_product as subscription_product, --Denotes the streaming product tier where the activity occurred. This is DSP specific, however, standard product tiers should be listed as follows: Ad-Supported Tier, Paid Mid-Tier, Paid On-Demand, Paid HiRes. \n u.subscription_type as subscription_type, --OK: Trial, Standart, Bundle; BOOM:Trial, Student, Standart, Bundle, Promotional\n\n\n\n\n SUM(IFF(u.royalty_bearing_play >= 1, u.length_of_stream, 0)) as total_listening_time,\n AVG(IFF(u.royalty_bearing_play >= 1, u.length_of_stream, 0 )) as avg_listen_duration,\n \n zeroifnull(count_if(u.royalty_bearing_play >= 1 and u.activity_type != 2)) as streams,\n zeroifnull(count_if(u.royalty_bearing_play < 1 and u.activity_type != 2)) as skips,\n \n zeroifnull(count_if(u.activity_type = 2)) as event_count,\n \n zeroifnull(count_if(u.promoted_playlist_play >= 1)) as promoted_playlist_plays,\n\n zeroifnull(count_if(u.cached_play >= 1)) as cached_plays\n\n -- columns ommitted:\n -- previous_track_isrc\n -- official_sme_product\n -- detailed_location\n -- subscription_detail\n -- detailed_stream_source_key\n\nfrom {{ ref('base_stg_raw_uma') }} u\n\nWHERE\n {{ download_date_filter(date_column='download_activity_date') }}\n\n\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,\n18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,\n35,36,37,38,39,40,41,42,43,44,45,46,47,48,48,49,50,\n51,52,53,54,55,56", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_uma"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,stream_source_type,isrc_official_track)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_uma_models", "agg_uma_model"], "unique_id": "model.my_new_project.agg_uma_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_uma_models/agg_uma_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_uma_models/agg_uma_model.sql", "name": "agg_uma_model", "alias": "agg_uma_model", "checksum": {"name": "sha256", "checksum": "d82937403e8dbac36a117b947295571690ecce07712e14976eac0464dfdac9a7"}, "tags": [], "refs": [["base_stg_raw_uma"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,stream_source_type,isrc_official_track)"]}, "created_at": 1660067941.3534727}, "model.my_new_project.agg_amazon_aggregated": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,upc_code,isrc_track_number);'\n ]\n })\n}}\n\n\nselect \n to_date(ra.serviceloggingtimestamp) AS download_activity_date, \n ra.activitytype as activity_type, \n ra.customerid AS customer_id,\n ra.streamsourceid as stream_source_id,\n ra.vendorid as vendor_id,\n ra.vendorname as vendor_name, \n ra.providergenre as provider_genre, \n ra.artistname as artist_name, \n ra.isrctracknumber as isrc_track_number, \n ra.upccode as upc_code, \n ra.labelid as label_id,\n ra.producttitle as product_title, \n ra.locationoftrackinplaylist as location_of_track_in_playlist, \n ra.devicetype as device_type, \n ra.ostype as os_type, \n ra.licensor as licensor,\n ra.referralsourcetype as referal_source_type,\n ra.numberofweeklystreams as number_of_weekly_streams,\n ra.selectionsourcetype as selection_source_type,\n ra.selectionsourcedetail as selection_source_detail,\n ra.transctiontype as transaction_type,\n ra.playlistname as playlist_name,\n ra.playlistgenre as playlist_genre,\n ra.playlistownerid as playlist_owner_id,\n ra.numberoftracks as number_of_tracks_in_playlist,\n ra.playlistfollowers as playlist_followers,\n ra.country as country,\n ra.countrycode as country_code,\n ra.subscriptionproduct as subscription_product,\n ra.subscriptiontype as subscription_type,\n ra.subscriptiondetail as subscription_detail,\n ra.gender as gender,\n ra.birthdate as birth_date,\n ra.trackasin as track_asin,\n ra.albumasin as album_asin,\n ra.numberoftotalplaylists as number_of_total_playlists,\n ra.numberofpersonalplaylists as number_of_personal_playlists,\n ra.numberofthirdpartyplaylists as number_of_third_party_playlists,\n ra.numberoftotaltracksincollection as number_of_total_tracks_in_collection,\n ra.totalplaycountforallvendors as total_play_count_for_all_vendors,\n ra.lengthofstream as length_of_stream,\n 'Amazon Ad Supported' as sub_store,\n\n SUM(IFF(ra.royaltybearingplay >= 1, ra.lengthofstream, 0)) as total_listening_time,\n AVG(IFF(ra.royaltybearingplay >= 1, ra.lengthofstream, 0 )) as avg_listen_duration,\n\n IFF(ra.lengthofstream >= 30, sum(1),0) as streams,\n IFF(ra.lengthofstream < 30, sum(1),0) as skips,\n\n zeroifnull(count_if((ra.voiceactivatedstream = 1) and ra.lengthofstream >= 30 )) as voice_activated_streams,\n zeroifnull(count_if((ra.voiceactivatedstream = 1) and ra.lengthofstream < 30 )) as voice_activated_skips\n \nfrom {{ ref('base_stg_raw_amazon_adsupported') }} ra\n\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = ra.serviceloggingtimestamp::DATE\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = ra.country\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON dt.upc = try_to_number(ra.upccode) AND UPPER(dt.isrc) = UPPER(REPLACE(ra.isrctracknumber, '-', ''))\n\nWHERE\n {{ download_date_filter(date_column='download_activity_date') }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,\n18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,\n35,36,37,38,39,40,41,42\n\nunion all\n\nselect \n to_date(ra.serviceloggingtimestamp) AS download_activity_date, \n ra.activitytype as activity_type, \n ra.customerid AS customer_id,\n ra.streamsourceid as stream_source_id,\n ra.vendorid as vendor_id,\n ra.vendorname as vendor_name, \n ra.providergenre as provider_genre, \n ra.artistname as artist_name, \n ra.isrctracknumber as isrc_track_number, \n ra.upccode as upc_code, \n ra.labelid as label_id,\n ra.producttitle as product_title, \n ra.locationoftrackinplaylist as location_of_track_in_playlist, \n ra.devicetype as device_type, \n ra.ostype as os_type, \n ra.licensor as licensor,\n ra.referralsourcetype as referal_source_type,\n ra.numberofweeklystreams as number_of_weekly_streams,\n ra.selectionsourcetype as selection_source_type,\n ra.selectionsourcedetail as selection_source_detail,\n ra.transctiontype as transaction_type,\n ra.playlistname as playlist_name,\n ra.playlistgenre as playlist_genre,\n ra.playlistownerid as playlist_owner_id,\n ra.numberoftracks as number_of_tracks_in_playlist,\n ra.playlistfollowers as playlist_followers,\n ra.country as country,\n ra.countrycode as country_code,\n ra.subscriptionproduct as subscription_product,\n ra.subscriptiontype as subscription_type,\n ra.subscriptiondetail as subscription_detail,\n ra.gender as gender,\n ra.birthdate as birth_date,\n ra.trackasin as track_asin,\n ra.albumasin as album_asin,\n ra.numberoftotalplaylists as number_of_total_playlists,\n ra.numberofpersonalplaylists as number_of_personal_playlists,\n ra.numberofthirdpartyplaylists as number_of_third_party_playlists,\n ra.numberoftotaltracksincollection as number_of_total_tracks_in_collection,\n ra.totalplaycountforallvendors as total_play_count_for_all_vendors,\n ra.lengthofstream as length_of_stream,\n 'Amazon Prime' as sub_store,\n\n SUM(IFF(ra.royaltybearingplay >= 1, ra.lengthofstream, 0)) as total_listening_time,\n AVG(IFF(ra.royaltybearingplay >= 1, ra.lengthofstream, 0 )) as avg_listen_duration,\n \n IFF(ra.lengthofstream >= 30, sum(1),0) as streams,\n IFF(ra.lengthofstream < 30, sum(1),0) as skips,\n\n zeroifnull(count_if((ra.voiceactivatedstream = 1) and ra.lengthofstream >= 30 )) as voice_activated_streams,\n zeroifnull(count_if((ra.voiceactivatedstream = 1) and ra.lengthofstream < 30 )) as voice_activated_skips\n \n \nfrom {{ ref('base_stg_raw_amazon_prime') }} ra\n\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = ra.serviceloggingtimestamp::DATE\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = ra.country\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON dt.upc = try_to_number(ra.upccode) AND UPPER(dt.isrc) = UPPER(REPLACE(ra.isrctracknumber, '-', ''))\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8)\n{% else %}\ndownload_activity_date >= '2019-06-11' AND download_activity_date <= (current_date()-2)\n\n{% endif %}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,\n18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,\n35,36,37,38,39,40,41,42\n\nunion all\n\nselect \n to_date(ra.serviceloggingtimestamp) AS download_activity_date, \n ra.activitytype as activity_type, \n ra.customerid AS customer_id,\n ra.streamsourceid as stream_source_id,\n ra.vendorid as vendor_id,\n ra.vendorname as vendor_name, \n ra.providergenre as provider_genre, \n ra.artistname as artist_name, \n ra.isrctracknumber as isrc_track_number, \n ra.upccode as upc_code, \n ra.labelid as label_id,\n ra.producttitle as product_title, \n ra.locationoftrackinplaylist as location_of_track_in_playlist, \n ra.devicetype as device_type, \n ra.ostype as os_type, \n ra.licensor as licensor,\n ra.referralsourcetype as referal_source_type,\n ra.numberofweeklystreams as number_of_weekly_streams,\n ra.selectionsourcetype as selection_source_type,\n ra.selectionsourcedetail as selection_source_detail,\n ra.transctiontype as transaction_type,\n ra.playlistname as playlist_name,\n ra.playlistgenre as playlist_genre,\n ra.playlistownerid as playlist_owner_id,\n ra.numberoftracks as number_of_tracks_in_playlist,\n ra.playlistfollowers as playlist_followers,\n ra.country as country,\n ra.countrycode as country_code,\n ra.subscriptionproduct as subscription_product,\n ra.subscriptiontype as subscription_type,\n ra.subscriptiondetail as subscription_detail,\n ra.gender as gender,\n ra.birthdate as birth_date,\n ra.trackasin as track_asin,\n ra.albumasin as album_asin,\n ra.numberoftotalplaylists as number_of_total_playlists,\n ra.numberofpersonalplaylists as number_of_personal_playlists,\n ra.numberofthirdpartyplaylists as number_of_third_party_playlists,\n ra.numberoftotaltracksincollection as number_of_total_tracks_in_collection,\n ra.totalplaycountforallvendors as total_play_count_for_all_vendors,\n ra.lengthofstream as length_of_stream,\n 'Amazon Unlimited' as sub_store,\n\n SUM(IFF(ra.royaltybearingplay >= 1, ra.lengthofstream, 0)) as total_listening_time,\n AVG(IFF(ra.royaltybearingplay >= 1, ra.lengthofstream, 0 )) as avg_listen_duration,\n \n IFF(ra.lengthofstream >= 30, sum(1),0) as streams,\n IFF(ra.lengthofstream < 30, sum(1),0) as skips,\n\n zeroifnull(count_if((ra.voiceactivatedstream = 1) and ra.lengthofstream >= 30 )) as voice_activated_streams,\n zeroifnull(count_if((ra.voiceactivatedstream = 1) and ra.lengthofstream < 30 )) as voice_activated_skips\n \n \nfrom {{ ref('base_stg_raw_amazon_unlimited') }} ra\n\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = ra.serviceloggingtimestamp::DATE\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = ra.country\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON dt.upc = try_to_number(ra.upccode) AND UPPER(dt.isrc) = UPPER(REPLACE(ra.isrctracknumber, '-', ''))\n\nWHERE\n{% if is_incremental () %}\ndownload_activity_date > (current_date()-8)\n{% else %}\ndownload_activity_date >= '2019-06-11' AND download_activity_date <= (current_date()-2) \n\n{% endif %}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,\n18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,\n35,36,37,38,39,40,41,42", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.dbt.is_incremental", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_amazon_adsupported", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.base_stg_raw_amazon_prime", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.base_stg_raw_amazon_unlimited", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,upc_code,isrc_track_number);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_amazon_models", "agg_amazon_aggregated"], "unique_id": "model.my_new_project.agg_amazon_aggregated", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_amazon_models/agg_amazon_aggregated.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_amazon_models/agg_amazon_aggregated.sql", "name": "agg_amazon_aggregated", "alias": "agg_amazon_aggregated", "checksum": {"name": "sha256", "checksum": "15682d01dd1ba16c9e6ba7d353c901eb340659c4200c36e835fed8761d39d1ab"}, "tags": [], "refs": [["base_stg_raw_amazon_adsupported"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"], ["base_stg_raw_amazon_prime"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"], ["base_stg_raw_amazon_unlimited"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": "my_new_project://models/bi_analytics/bi_analytics_store_models/aggregated_amazon_models/schema.yml", "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_activity_date,country,label_id,upc_code,isrc_track_number);"]}, "created_at": 1660067941.9733064}, "model.my_new_project.agg_apple_summary": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(download_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"download_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (download_date,storefront_name,label_id,isrc);'\n ]\n })\n}}\n\nselect to_date(a.download_date) as download_date,\na.vendor_name as vendor_name,\na.apple_identifier as apple_identifier,\na.storefront_name as storefront_name,\na.subscription_type as subscription_type,\na.subscription_mode as subscription_mode,\na.channel_partner as channel_partner,\na.device_type as device_type,\na.source_of_stream as source_of_stream,\na.container_subtype as container_subtype,\na.container_id as container_id,\na.container_name as container_name,\na.end_reason_type as end_reason_type,\na.offline as offline,\na.isrc as isrc,\na.upc as upc,\na.label_id as label_id,\na.item_title as item_title,\na.item_artist as item_artist,\na.item_type as item_type,\na.media_type as media_type,\na.vendor_identifier as vendor_identifier,\na.item_artist_id as item_artist_id,\na.media_duration as media_duration,\na.audio_format as audio_format,\nsum(streams) as streams,\nsum(skips) as skips\nfrom {{ ref('agg_apple_summary_staging_1') }} a\n\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = a.download_date\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = a.storefront_name\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON dt.isrc = TRIM(a.isrc) AND dt.upc = TRY_TO_NUMBER(a.upc)\n\nWHERE\n download_date >= '2021-04-08'\n AND {{ download_date_filter() }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25\n\nUNION ALL\n\nselect\n to_date(a.download_date) as download_date,\n a.vendor_name as vendor_name,\n a.apple_identifier as apple_identifier,\n a.storefront_name as storefront_name,\n a.subscription_type as subscription_type,\n a.subscription_mode as subscription_mode,\n a.channel_partner as channel_partner,\n a.device_type as device_type,\n a.source_of_stream as source_of_stream,\n a.container_subtype as container_subtype,\n a.container_id as container_id,\n a.container_name as container_name,\n a.end_reason_type as end_reason_type,\n a.offline as offline,\n a.isrc as isrc,\n a.upc as upc,\n a.label_id as label_id,\n a.item_title as item_title,\n a.item_artist as item_artist,\n a.item_type as item_type,\n a.media_type as media_type,\n a.vendor_identifier as vendor_identifier,\n a.item_artist_id as item_artist_id,\n a.media_duration as media_duration,\n a.audio_format as audio_format,\n sum(streams) as streams,\n sum(skips) as skips\nfrom {{ ref('agg_apple_summary_staging_2') }} a\n\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = a.download_date\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = a.storefront_name\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON dt.isrc = TRIM(a.isrc) AND dt.upc = TRY_TO_NUMBER(a.upc)\n\nWHERE\n download_date < '2021-04-08'\n AND {{ download_date_filter() }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.agg_apple_summary_staging_1", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.agg_apple_summary_staging_2", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(download_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"download_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (download_date,storefront_name,label_id,isrc);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_apple_models", "agg_apple_summary"], "unique_id": "model.my_new_project.agg_apple_summary", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_apple_models/agg_apple_summary.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_apple_models/agg_apple_summary.sql", "name": "agg_apple_summary", "alias": "agg_apple_summary", "checksum": {"name": "sha256", "checksum": "1c0cc327e481c62e283c6491f95157c0d922e2e658f605ac34c0ec850fb67204"}, "tags": [], "refs": [["agg_apple_summary_staging_1"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"], ["agg_apple_summary_staging_2"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"]], "sources": [], "metrics": [], "description": "This model is built on top of Apple Music's streams and non-royalty reports.\n\nFor dates since 2021-04-08 it uses the data from summary streams and summary non-royalty (aka new) reports.\n", "columns": {"device_type": {"name": "device_type", "description": "always NULL for dates before 2021-04-08", "meta": {}, "data_type": null, "quote": null, "tags": []}, "container_subtype": {"name": "container_subtype", "description": "always NULL for dates before 2021-04-08", "meta": {}, "data_type": null, "quote": null, "tags": []}, "container_id": {"name": "container_id", "description": "always NULL for dates before 2021-04-08", "meta": {}, "data_type": null, "quote": null, "tags": []}, "container_name": {"name": "container_name", "description": "always NULL for dates before 2021-04-08", "meta": {}, "data_type": null, "quote": null, "tags": []}, "media_duration": {"name": "media_duration", "description": "always NULL for dates before 2021-04-08", "meta": {}, "data_type": null, "quote": null, "tags": []}, "audio_format": {"name": "audio_format", "description": "always NULL for dates before 2021-04-08", "meta": {}, "data_type": null, "quote": null, "tags": []}}, "meta": {}, "docs": {"show": true}, "patch_path": "my_new_project://models/bi_analytics/bi_analytics_store_models/aggregated_apple_models/aggregated_apple_models.yml", "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(download_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"download_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (download_date,storefront_name,label_id,isrc);"]}, "created_at": 1660067941.9894102}, "model.my_new_project.agg_apple_summary_staging_1": {"raw_sql": "select to_date(a.download_date) as download_date,\na.vendor_name as vendor_name,\na.apple_identifier as apple_identifier,\na.storefront_name as storefront_name,\na.subscription_type as subscription_type,\na.subscription_mode as subscription_mode,\na.channel_partner as channel_partner,\na.device_type as device_type,\na.source_of_stream as source_of_stream,\na.container_subtype as container_subtype,\na.container_id as container_id,\na.container_name as container_name,\na.end_reason_type as end_reason_type,\na.offline as offline,\na.isrc as isrc,\na.upc as upc,\na.label_id as label_id,\na.item_title as item_title,\na.item_artist as item_artist,\na.item_type as item_type,\na.media_type as media_type,\na.vendor_identifier as vendor_identifier,\na.item_artist_id as item_artist_id,\na.media_duration as media_duration,\na.audio_format as audio_format,\na.stream_type as stream_type,\niff(stream_type = 'Streams',zeroifnull(sum(a.streams)),0) as streams,\niff(stream_type = 'Skips',zeroifnull(sum(a.streams)),0) as skips\nfrom {{ ref('base_stg_apple_summary_streams_unioned') }} a\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,\n18,19,20,21,22,23,24,25,26", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_stg_apple_summary_streams_unioned"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_apple_models", "agg_apple_summary_staging_1"], "unique_id": "model.my_new_project.agg_apple_summary_staging_1", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_apple_models/agg_apple_summary_staging_1.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_apple_models/agg_apple_summary_staging_1.sql", "name": "agg_apple_summary_staging_1", "alias": "agg_apple_summary_staging_1", "checksum": {"name": "sha256", "checksum": "23be3fda0248a79eb8d4d8961ed191d0d9afb21f36fc487d0f16e56f2d3a9c1d"}, "tags": [], "refs": [["base_stg_apple_summary_streams_unioned"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.4009879}, "model.my_new_project.agg_apple_summary_staging_2": {"raw_sql": "select\n to_date(a.download_date) as download_date,\n a.vendor_name as vendor_name,\n a.apple_identifier as apple_identifier,\n a.storefront_name as storefront_name,\n NULL as subscription_type,\n NULL as subscription_mode,\n NULL as channel_partner,\n NULL as device_type, -- can we use a.device instead???\n a.source_of_stream as source_of_stream,\n NULL as container_subtype, -- only have a.container_type\n NULL as container_id, -- only have a.container_type\n NULL as container_name, -- only have a.container_type\n a.end_reason_type as end_reason_type,\n a.offline as offline,\n a.isrc as isrc,\n a.upc as upc,\n a.label_id as label_id,\n a.item_title as item_title,\n a.item_artist as item_artist,\n a.item_type as item_type,\n a.media_type as media_type,\n a.vendor_identifier as vendor_identifier,\n a.item_artist_id as item_artist_id,\n NULL as media_duration, -- can we use a.stream_duration ?\n NULL as audio_format,\n a.stream_type as stream_type,\n iff(stream_type = 'Streams',count(*),0) as streams,\n iff(stream_type = 'Skips',count(*),0) as skips\nfrom {{ ref('base_stg_apple_streams_unioned') }} a\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26", "resource_type": "model", "depends_on": {"macros": [], "nodes": ["model.my_new_project.base_stg_apple_streams_unioned"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "view", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": null, "on_schema_change": "ignore", "grants": {}, "post-hook": [], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_apple_models", "agg_apple_summary_staging_2"], "unique_id": "model.my_new_project.agg_apple_summary_staging_2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_apple_models/agg_apple_summary_staging_2.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_apple_models/agg_apple_summary_staging_2.sql", "name": "agg_apple_summary_staging_2", "alias": "agg_apple_summary_staging_2", "checksum": {"name": "sha256", "checksum": "e58bb956ea704a2557c8343a9abb82bc4a74c7008f3d3af423526ea453799fa7"}, "tags": [], "refs": [["base_stg_apple_streams_unioned"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {}, "created_at": 1660067941.4040973}, "model.my_new_project.agg_spotify_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (activity_date,user_country_code,labelid,source_uri,isrc)'\n ]\n })\n}}\n\nselect \n rs.download_date AS activity_date, \n rs.user_id as user_id, \n rs.source_uri AS source_uri,\n rs.Track_id as spotify_track_id,\n rs.Source as spotify_source,\n rs.device_type as device_type, \n rs.OS as os, \n rs.track_uri as track_uri, \n rs.ISRC as isrc, \n rs.UPC as upc, \n rs.labelid as labelid,\n rs.user_country as user_country_code, \n rs.user_access as user_account_type, \n rs.gender as user_gender, \n rs.birth_year as user_birth_year, \n rs.licensor as licensor,\n rs.age_group as user_age_group,\n --SUM(rs.length) as total_listen_duration,\n --Total_Listen_duration/count(distinct rs.row_id) as avg_listen_duration,\n\n -- need to add in:\n -- transaction type \n -- transaction ID\n\n zeroifnull(count_if((rs.Shuffle = 'Y'))) as shuffle_play_yes_streams,\n zeroifnull(count_if((rs.Shuffle = 'N'))) as shuffle_play_no_streams,\n zeroifnull(count_if((rs.Shuffle is null OR rs.Shuffle = ''))) as shuffle_play_null_streams,\n\n zeroifnull(count_if((rs.repeat_play = 'Y'))) as repeat_play_yes_streams,\n zeroifnull(count_if((rs.repeat_play = 'N'))) as repeat_play_no_streams,\n zeroifnull(count_if((rs.repeat_play is null OR rs.repeat_play = ''))) as repeat_play_null_streams,\n\n zeroifnull(count_if((rs.Discovery_flag = 'Y'))) as discovery_flag_yes_streams,\n zeroifnull(count_if((rs.Discovery_flag = 'N'))) as discovery_flag_no_streams,\n zeroifnull(count_if((rs.Discovery_flag is null OR rs.Discovery_flag = '' ))) as discovery_flag_null_streams,\n --count(distinct rs.row_id) as streams\n SUM(rs.length) as total_listen_duration,\n hll(rs.row_id) as streams, -- comment reason\n Total_Listen_duration/streams as avg_listen_duration\n \nfrom {{ ref('base_stg_raw_spotify') }} rs\n\nINNER JOIN {{ref('base_dim_day')}} dd ON dd.displaydate = rs.download_date\nINNER JOIN {{ref('base_dim_country')}} dc ON dc.country_code = rs.user_country\nINNER JOIN {{ref('base_dim_track_clean_mv')}} dt ON UPPER(dt.isrc) = UPPER(rs.isrc) AND dt.upc = rs.upc\nLEFT JOIN {{ref('base_map_transactiontype')}} mt ON mt.inputvalue = rs.user_access AND mt.storeId = 286\nINNER JOIN {{ref('base_dim_transaction_type')}} dtt ON COALESCE(mt.outputvalue, 'AS') = dtt.transactiontypeabbr\n\nWHERE\n {{ download_date_filter() }}\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17\norder by activity_date,user_country_code,labelid,source_uri,isrc", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_spotify", "model.my_new_project.base_dim_day", "model.my_new_project.base_dim_country", "model.my_new_project.base_dim_track_clean_mv", "model.my_new_project.base_map_transactiontype", "model.my_new_project.base_dim_transaction_type"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (activity_date,user_country_code,labelid,source_uri,isrc)", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_spotify_model", "agg_spotify_model"], "unique_id": "model.my_new_project.agg_spotify_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_spotify_model/agg_spotify_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_spotify_model/agg_spotify_model.sql", "name": "agg_spotify_model", "alias": "agg_spotify_model", "checksum": {"name": "sha256", "checksum": "7fcaf9f29c3a9744c5f5f6c4a6ba79d8e31bb54a95d55b84e4399ed2045425bc"}, "tags": [], "refs": [["base_stg_raw_spotify"], ["base_dim_day"], ["base_dim_country"], ["base_dim_track_clean_mv"], ["base_map_transactiontype"], ["base_dim_transaction_type"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (activity_date,user_country_code,labelid,source_uri,isrc)"]}, "created_at": 1660067941.407549}, "model.my_new_project.agg_deezer_model": {"raw_sql": "{{\nconfig({\n 'materialized' : 'incremental',\n 'unique_key' : 'concat(activity_date)',\n 'incremental_strategy' : 'delete+insert',\n 'post-hook' : [\n '{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}',\n 'ALTER TABLE {{ this }} CLUSTER BY (activity_date,label_id,isrc);'\n ]\n })\n}}\n\nselect\nrd.download_date as activity_date,\nSPLIT_PART(SPLIT_PART(rd.filename, '.', 1), '_', 4) AS file_type,\nrd.record_type as record_type,\nrd.iso_country_code as transaction_country,\nCASE \n WHEN rd.transaction_type = 'MOD' THEN 10\n WHEN rd.transaction_type = 'MMOD' THEN 10\n WHEN rd.transaction_type = 'MFS' THEN 10\n WHEN rd.transaction_type = 'SMR' THEN 10\n ELSE 1\n END AS transaction_type_id,\nrd.format as format,\nrd.labelid as label_id,\nrd.upc as upc,\nrd.isrc as isrc,\nrd.artist_name as artist_name,\nrd.release_name as release_name,\nrd.track_name as track_name,\nsum(rd.unit_count) as streams\n\n\nfrom {{ ref('base_stg_raw_deezer')}} rd\n\nwhere \n {{ download_date_filter() }}\n\n\ngroup by 1,2,3,4,5,6,7,8,9,10,11,12", "resource_type": "model", "depends_on": {"macros": ["macro.my_new_project.download_date_filter", "macro.my_new_project.delete_expired_entries"], "nodes": ["model.my_new_project.base_stg_raw_deezer"]}, "config": {"enabled": true, "alias": null, "schema": null, "database": null, "tags": [], "meta": {}, "materialized": "incremental", "persist_docs": {}, "quoting": {}, "column_types": {}, "full_refresh": null, "unique_key": "concat(activity_date)", "on_schema_change": "ignore", "grants": {}, "incremental_strategy": "delete+insert", "post-hook": [{"sql": "{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "transaction": true, "index": null}, {"sql": "ALTER TABLE {{ this }} CLUSTER BY (activity_date,label_id,isrc);", "transaction": true, "index": null}], "pre-hook": []}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_deezer_models", "agg_deezer_model"], "unique_id": "model.my_new_project.agg_deezer_model", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "bi_analytics/bi_analytics_store_models/aggregated_deezer_models/agg_deezer_model.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_deezer_models/agg_deezer_model.sql", "name": "agg_deezer_model", "alias": "agg_deezer_model", "checksum": {"name": "sha256", "checksum": "63cb47fc66e8e1242cfc9b180ac4f31b13b343ebb5469eb092a1a710049ef5c3"}, "tags": [], "refs": [["base_stg_raw_deezer"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"materialized": "incremental", "unique_key": "concat(activity_date)", "incremental_strategy": "delete+insert", "post-hook": ["{{ delete_expired_entries(date_column=\"activity_date\", expiration_period_days=365*3) }}", "ALTER TABLE {{ this }} CLUSTER BY (activity_date,label_id,isrc);"]}, "created_at": 1660067941.4353127}, "test.my_new_project.unique_base_fact_staging_raw_apple_music_summary_streams_row_id.4a2de26e85": {"raw_sql": "{{ test_unique(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "unique", "kwargs": {"column_name": "row_id", "model": "{{ get_where_subquery(ref('base_fact_staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "resource_type": "test", "depends_on": {"macros": ["macro.dbt.test_unique"], "nodes": ["model.my_new_project.base_fact_staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "base_facts_prod", "unique_base_fact_staging_raw_apple_music_summary_streams_row_id"], "unique_id": "test.my_new_project.unique_base_fact_staging_raw_apple_music_summary_streams_row_id.4a2de26e85", "package_name": "my_new_project", "root_path": 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"resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_equal_rowcount_fact_analytics", "macro.dbt.get_where_subquery"], "nodes": ["model.my_new_project.agg_awa_model"]}, "config": {"enabled": true, "alias": "equal_rowcount_fact_analytics__bf7b8f8100a96e0cc0d6c04dd34b823a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "coalesce(diff_count, 0)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_soundcloud_models", 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"materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "coalesce(diff_count, 0)", "warn_if": ">10000", "error_if": ">10000000000"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "bi_analytics", "bi_analytics_store_models", "aggregated_amazon_models", "equal_rowcount_fact_analytics_agg_amazon_aggregated__2022_04_02___a_feedid_in_37_35_36_and_a_storeid_187"], "unique_id": "test.my_new_project.equal_rowcount_fact_analytics_agg_amazon_aggregated__2022_04_02___a_feedid_in_37_35_36_and_a_storeid_187.b4011b4f0e", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "equal_rowcount_fact_analytics__a701dde8a68607ccae2df10ccc19715d.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_amazon_models/schema.yml", "name": 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"test.my_new_project.equal_rowcount_fact_analytics_agg_apple_summary_download_date___2022_06_02___a_feedid_4_and_a_storeid_1_and_a_transactiontypeid_NOT_IN_33_34_35_and_a_labelid_21989_and_transaction_group_Streaming_and_l_distributor_sme_and_r_not_for_distribution_SMEAnalyticsDummy___label_id_21989.d8b1288cf7": {"raw_sql": "{{ test_equal_rowcount_fact_analytics(**_dbt_generic_test_kwargs) }}{{ config(alias=\"equal_rowcount_fact_analytics__23886618cb42afdef5010b2aae6308c0\") }}", "test_metadata": {"name": "equal_rowcount_fact_analytics", "kwargs": {"date_expression": "= '2022-06-02'", "date_column": "download_date", "fa_filter": "a.feedid = 4 and a.storeid = 1 and a.transactiontypeid NOT IN (33,34,35) and a.labelid = 21989 and transaction_group = 'Streaming' and l.distributor != 'sme' and r.not_for_distribution != 'SMEAnalyticsDummy'", "model_filter": "label_id = 21989", "model": "{{ get_where_subquery(ref('agg_apple_summary')) }}"}, "namespace": null}, "resource_type": "test", 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"test.my_new_project.equal_rowcount_fact_analytics_agg_apple_summary_download_date___2022_06_02___a_feedid_4_and_a_storeid_1_and_a_transactiontypeid_NOT_IN_33_34_35_and_a_labelid_21989_and_transaction_group_Streaming_and_l_distributor_sme_and_r_not_for_distribution_SMEAnalyticsDummy___label_id_21989.d8b1288cf7", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "equal_rowcount_fact_analytics__23886618cb42afdef5010b2aae6308c0.sql", "original_file_path": "models/bi_analytics/bi_analytics_store_models/aggregated_apple_models/aggregated_apple_models.yml", "name": "equal_rowcount_fact_analytics_agg_apple_summary_download_date___2022_06_02___a_feedid_4_and_a_storeid_1_and_a_transactiontypeid_NOT_IN_33_34_35_and_a_labelid_21989_and_transaction_group_Streaming_and_l_distributor_sme_and_r_not_for_distribution_SMEAnalyticsDummy___label_id_21989", "alias": "equal_rowcount_fact_analytics__23886618cb42afdef5010b2aae6308c0", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [["agg_apple_summary"]], "sources": [], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"fail_calc": "coalesce(diff_count, 0)", "alias": "equal_rowcount_fact_analytics__23886618cb42afdef5010b2aae6308c0"}, "created_at": 1660067941.9909165, "column_name": null, "file_key_name": "models.agg_apple_summary"}, "test.my_new_project.source_not_transient_prod_staging_raw_spotify_v2_.a5d1c02d34": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_spotify_v2')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_spotify_v2"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_spotify_v2_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_spotify_v2_.a5d1c02d34", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_spotify_v2_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_spotify_v2_", "alias": "source_not_transient_prod_staging_raw_spotify_v2_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_spotify_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_spotify_v2_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_spotify_v2_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.0133789, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SPOTIFY_V2'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_spotify_v2_download_date.464d3c267d": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_spotify_v2')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_spotify_v2"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_spotify_v2_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_spotify_v2_download_date.464d3c267d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_spotify_v2_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_spotify_v2_download_date", "alias": "source_clustered_prod_staging_raw_spotify_v2_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_spotify_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_spotify_v2_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_spotify_v2_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.024207, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SPOTIFY_V2'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_spotify_v2_download_date__download_date_current_date_10__1.f9c9e17b5c": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_spotify_v2')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_spotify_v2"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_spotify_v2_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_spotify_v2_download_date__download_date_current_date_10__1.f9c9e17b5c", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_spotify_v2_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_spotify_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_eda040d9e367ffa9007bdcb2aeb8b0a2"}, "created_at": 1660067942.033785, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_spotify_v2\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_amazon_unlimited_.5777df20c9": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_unlimited')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_unlimited"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_amazon_unlimited_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_amazon_unlimited_.5777df20c9", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_amazon_unlimited_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_amazon_unlimited_", "alias": "source_not_transient_prod_staging_raw_amazon_unlimited_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_unlimited"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_amazon_unlimited_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_amazon_unlimited_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.0418856, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AMAZON_UNLIMITED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_amazon_unlimited_download_date.90403b9485": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_unlimited')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_unlimited"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_amazon_unlimited_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_amazon_unlimited_download_date.90403b9485", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_amazon_unlimited_download_date", "alias": "source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_unlimited"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__0e54033c79e5899edd2ccdfa3008c0d3"}, "created_at": 1660067942.0487537, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AMAZON_UNLIMITED'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_amazon_unlimited_download_date__download_date_current_date_10__1.7b1f814784": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_unlimited')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_unlimited"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_amazon_unlimited_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_amazon_unlimited_download_date__download_date_current_date_10__1.7b1f814784", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_amazon_unlimited_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_unlimited"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_16c12aa8c45fa5945b3e83ab433e21e2"}, "created_at": 1660067942.057916, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_amazon_unlimited\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_amazon_adsupported_.e0a1ff905f": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_adsupported')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_adsupported"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_amazon_adsupported_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_amazon_adsupported_.e0a1ff905f", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_amazon_adsupported_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_amazon_adsupported_", "alias": "source_not_transient_prod_staging_raw_amazon_adsupported_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_adsupported"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_amazon_adsupported_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_amazon_adsupported_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.0659516, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AMAZON_ADSUPPORTED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_amazon_adsupported_download_date.0ce8e6d8c4": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_adsupported')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_adsupported"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_amazon_adsupported_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_amazon_adsupported_download_date.0ce8e6d8c4", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_amazon_adsupported_download_date", "alias": "source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_adsupported"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__7a237633ace2e5f50c7cbbff5ad3bd92"}, "created_at": 1660067942.0728781, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AMAZON_ADSUPPORTED'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_amazon_adsupported_download_date__download_date_current_date_10__1.3535c365aa": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_adsupported')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_adsupported"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_amazon_adsupported_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_amazon_adsupported_download_date__download_date_current_date_10__1.3535c365aa", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_amazon_adsupported_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_adsupported"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_bc53a54fe62edcd4eacf0d7b2a1880d8"}, "created_at": 1660067942.0820868, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_amazon_adsupported\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_amazon_prime_.33f1222014": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_prime')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_prime"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_amazon_prime_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_amazon_prime_.33f1222014", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_amazon_prime_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_amazon_prime_", "alias": "source_not_transient_prod_staging_raw_amazon_prime_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_prime"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_amazon_prime_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_amazon_prime_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.090363, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AMAZON_PRIME'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_amazon_prime_download_date.22e904cfac": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_prime')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_prime"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_amazon_prime_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_amazon_prime_download_date.22e904cfac", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_amazon_prime_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_amazon_prime_download_date", "alias": "source_clustered_prod_staging_raw_amazon_prime_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_prime"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_amazon_prime_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_amazon_prime_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.099861, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AMAZON_PRIME'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_amazon_prime_download_date__download_date_current_date_10__1.e5e95207bb": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_amazon_prime')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_amazon_prime"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_amazon_prime_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_amazon_prime_download_date__download_date_current_date_10__1.e5e95207bb", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_amazon_prime_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_amazon_prime"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_de00d9146034d6c6659e3edca20f0da7"}, "created_at": 1660067942.1085865, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_amazon_prime\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_uma_.ad9f114224": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_uma')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_uma"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_uma_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_uma_.ad9f114224", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_uma_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_uma_", "alias": "source_not_transient_prod_staging_raw_uma_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_uma"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_uma_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_uma_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.1166625, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_UMA'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_uma_download_date.2a37c40932": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_uma')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_uma"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_uma_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_uma_download_date.2a37c40932", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_uma_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_uma_download_date", "alias": "source_clustered_prod_staging_raw_uma_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_uma"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_uma_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_uma_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.1244617, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_UMA'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_uma_download_date__download_date_current_date_10__1.721bc7f230": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_639190921f7431dc477020672f81207d\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_uma')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_uma"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_639190921f7431dc477020672f81207d", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_uma_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_uma_download_date__download_date_current_date_10__1.721bc7f230", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_639190921f7431dc477020672f81207d.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_uma_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_639190921f7431dc477020672f81207d", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_uma"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_639190921f7431dc477020672f81207d.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_639190921f7431dc477020672f81207d.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_639190921f7431dc477020672f81207d"}, "created_at": 1660067942.1324098, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_uma\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_pandora_.36d3bfa64b": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_pandora')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_pandora"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_pandora_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_pandora_.36d3bfa64b", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_pandora_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_pandora_", "alias": "source_not_transient_prod_staging_raw_pandora_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_pandora"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_pandora_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_pandora_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.140771, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_PANDORA'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_pandora_download_date.e80fc16e1d": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_pandora')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_pandora"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_pandora_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_pandora_download_date.e80fc16e1d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_pandora_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_pandora_download_date", "alias": "source_clustered_prod_staging_raw_pandora_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_pandora"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_pandora_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_pandora_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.148464, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_PANDORA'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_pandora_download_date__download_date_current_date_10__1.f40bbc81ee": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_pandora')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_pandora"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_pandora_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_pandora_download_date__download_date_current_date_10__1.f40bbc81ee", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_pandora_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_pandora"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_9c1d105cf32ed15685da2d13b3da4ac4"}, "created_at": 1660067942.156745, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_pandora\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_trackinformation_.9dac0f9788": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_trackinformation')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_trackinformation"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_soundcloud_trackinformation_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_trackinformation_.9dac0f9788", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_soundcloud_trackinformation_", "alias": "source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_trackinformation"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_5f6d4771b4723bf5405dd4f5eebc9aaf"}, "created_at": 1660067942.165176, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_TRACKINFORMATION'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_trackinformation_download_date.336566cdfe": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_trackinformation')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_trackinformation"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_soundcloud_trackinformation_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_trackinformation_download_date.336566cdfe", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_soundcloud_trackinformation_download_date", "alias": "source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_trackinformation"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__0cfd9edcba465d4157d85f38f441f2d6"}, "created_at": 1660067942.1733751, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_TRACKINFORMATION'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_trackinformation_download_date__download_date_current_date_10__1.87ae75e0b2": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_trackinformation')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_trackinformation"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_soundcloud_trackinformation_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_trackinformation_download_date__download_date_current_date_10__1.87ae75e0b2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_soundcloud_trackinformation_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_trackinformation"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_ad3bcf7a4a86c40199a890320a6055df"}, "created_at": 1660067942.1825721, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_soundcloud_trackinformation\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_streamlevelreport_.ee9ee95bd6": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_streamlevelreport')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_streamlevelreport"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_soundcloud_streamlevelreport_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_streamlevelreport_.ee9ee95bd6", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_soundcloud_streamlevelreport_", "alias": "source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_streamlevelreport"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_f05a6f938fb99204b489d63f56809263"}, "created_at": 1660067942.1915781, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_STREAMLEVELREPORT'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_streamlevelreport_download_date.5aefa33399": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_streamlevelreport')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_streamlevelreport"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_soundcloud_streamlevelreport_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_streamlevelreport_download_date.5aefa33399", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_soundcloud_streamlevelreport_download_date", "alias": "source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_streamlevelreport"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__eb64480f67a01264ea4149b6bd90a156"}, "created_at": 1660067942.1996126, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_STREAMLEVELREPORT'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_streamlevelreport_download_date__download_date_current_date_10__1.ea3e3cd9fb": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_streamlevelreport')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_streamlevelreport"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_soundcloud_streamlevelreport_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_streamlevelreport_download_date__download_date_current_date_10__1.ea3e3cd9fb", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_soundcloud_streamlevelreport_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_streamlevelreport"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_5b4eb50e478c2d28b1f0cfe222004206"}, "created_at": 1660067942.2089427, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_soundcloud_streamlevelreport\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_playlistreporting_.03d3c1ef48": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_playlistreporting')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_playlistreporting"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_soundcloud_playlistreporting_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_playlistreporting_.03d3c1ef48", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_soundcloud_playlistreporting_", "alias": "source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_playlistreporting"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_d9a3897ee2605ba76a771ef5e4016a38"}, "created_at": 1660067942.2168891, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_PLAYLISTREPORTING'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_playlistreporting_download_date.b20e835247": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__a5786a05613886c5b3537676b9799640\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_playlistreporting')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_playlistreporting"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__a5786a05613886c5b3537676b9799640", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_soundcloud_playlistreporting_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_playlistreporting_download_date.b20e835247", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__a5786a05613886c5b3537676b9799640.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_soundcloud_playlistreporting_download_date", "alias": "source_clustered_prod_staging__a5786a05613886c5b3537676b9799640", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_playlistreporting"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__a5786a05613886c5b3537676b9799640.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__a5786a05613886c5b3537676b9799640.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__a5786a05613886c5b3537676b9799640"}, "created_at": 1660067942.226373, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_PLAYLISTREPORTING'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_playlistreporting_download_date__download_date_current_date_10__1.6a2164e0d1": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_playlistreporting')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_playlistreporting"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_soundcloud_playlistreporting_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_playlistreporting_download_date__download_date_current_date_10__1.6a2164e0d1", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_soundcloud_playlistreporting_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_playlistreporting"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_d656b41206612fcef92f3f9f30cc5c86"}, "created_at": 1660067942.2351918, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_soundcloud_playlistreporting\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_customerdata_.6bf395bbe4": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_customerdata')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_customerdata"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_soundcloud_customerdata_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_soundcloud_customerdata_.6bf395bbe4", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_soundcloud_customerdata_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_soundcloud_customerdata_", "alias": "source_not_transient_prod_staging_raw_soundcloud_customerdata_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_customerdata"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_soundcloud_customerdata_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_soundcloud_customerdata_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.2443264, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_CUSTOMERDATA'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_customerdata_download_date.f03c9aa6d7": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_customerdata')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_customerdata"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_soundcloud_customerdata_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_soundcloud_customerdata_download_date.f03c9aa6d7", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_soundcloud_customerdata_download_date", "alias": "source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_customerdata"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__79067d91feed7d815f9b39217c33e4af"}, "created_at": 1660067942.251782, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SOUNDCLOUD_CUSTOMERDATA'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_customerdata_download_date__download_date_current_date_10__1.15ef690984": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_soundcloud_customerdata')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_soundcloud_customerdata"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_soundcloud_customerdata_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_soundcloud_customerdata_download_date__download_date_current_date_10__1.15ef690984", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_soundcloud_customerdata_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_soundcloud_customerdata"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_203b2bd12953ad3bf23cc95e288230b6"}, "created_at": 1660067942.2611294, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_soundcloud_customerdata\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_tiktok_.adf7643f5c": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_tiktok')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_tiktok"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_tiktok_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_tiktok_.adf7643f5c", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_tiktok_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_tiktok_", "alias": "source_not_transient_prod_staging_raw_tiktok_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_tiktok"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_tiktok_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_tiktok_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.2694902, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_TIKTOK'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_tiktok_download_date.95bd43ca92": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_tiktok')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_tiktok"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_tiktok_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_tiktok_download_date.95bd43ca92", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_tiktok_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_tiktok_download_date", "alias": "source_clustered_prod_staging_raw_tiktok_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_tiktok"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_tiktok_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_tiktok_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.2776833, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_TIKTOK'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_tiktok_download_date__download_date_current_date_10__1.eac7efd209": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_tiktok')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_tiktok"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_tiktok_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_tiktok_download_date__download_date_current_date_10__1.eac7efd209", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_tiktok_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_tiktok"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_f5aa906e5e58f7bfec411f48c3438b19"}, "created_at": 1660067942.2867403, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_tiktok\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_tiktok_statistics_.fa382c1edf": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_tiktok_statistics')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_tiktok_statistics"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_tiktok_statistics_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_tiktok_statistics_.fa382c1edf", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_tiktok_statistics_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_tiktok_statistics_", "alias": "source_not_transient_prod_staging_raw_tiktok_statistics_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_tiktok_statistics"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_tiktok_statistics_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_tiktok_statistics_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.2953582, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_TIKTOK_STATISTICS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_container_.4bfcb88bb7": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_container')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_container"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_apple_music_container_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_container_.4bfcb88bb7", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_apple_music_container_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_apple_music_container_", "alias": "source_not_transient_prod_staging_raw_apple_music_container_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_container"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_apple_music_container_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_apple_music_container_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.3028324, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_CONTAINER'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_apple_music_container_download_date.fb97f62968": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_container')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_container"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_apple_music_container_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_apple_music_container_download_date.fb97f62968", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_apple_music_container_download_date", "alias": "source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_container"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__2887f7187018c926dc1df306ba46cfc0"}, "created_at": 1660067942.310671, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_CONTAINER'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_apple_music_container_download_date__download_date_current_date_10__1.fe98999752": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_container')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_container"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_apple_music_container_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_apple_music_container_download_date__download_date_current_date_10__1.fe98999752", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_apple_music_container_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_container"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_134c279c6de8f0e285c87d3454023a51"}, "created_at": 1660067942.3201098, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_apple_music_container\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_deezer_v2_.c6e357c95e": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_deezer_v2')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_deezer_v2"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_deezer_v2_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_deezer_v2_.c6e357c95e", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_deezer_v2_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_deezer_v2_", "alias": "source_not_transient_prod_staging_raw_deezer_v2_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_deezer_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_deezer_v2_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_deezer_v2_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.3283784, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_DEEZER_V2'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_deezer_v2_download_date.408d31fb35": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_deezer_v2')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_deezer_v2"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_deezer_v2_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_deezer_v2_download_date.408d31fb35", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_deezer_v2_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_deezer_v2_download_date", "alias": "source_clustered_prod_staging_raw_deezer_v2_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_deezer_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_deezer_v2_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_deezer_v2_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.3358922, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_DEEZER_V2'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_deezer_v2_download_date__download_date_current_date_10__1.b43e23d566": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_deezer_v2')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_deezer_v2"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_deezer_v2_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_deezer_v2_download_date__download_date_current_date_10__1.b43e23d566", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_deezer_v2_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_deezer_v2"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_4cf3ce25fee74d5421882e9a8db69865"}, "created_at": 1660067942.3445613, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_deezer_v2\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_awa_.34faf6e9e4": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_awa')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_awa"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_awa_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_awa_.34faf6e9e4", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_awa_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_awa_", "alias": "source_not_transient_prod_staging_raw_awa_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_awa"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_awa_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_awa_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.352686, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_AWA'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_awa_download_date__download_date_current_date_10__1.e3aa7f79ce": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_343560a016531b44523f918ab531493e\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_awa')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_awa"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_343560a016531b44523f918ab531493e", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_awa_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_awa_download_date__download_date_current_date_10__1.e3aa7f79ce", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_343560a016531b44523f918ab531493e.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_awa_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_343560a016531b44523f918ab531493e", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_awa"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_343560a016531b44523f918ab531493e.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_343560a016531b44523f918ab531493e.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_343560a016531b44523f918ab531493e"}, "created_at": 1660067942.3693724, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_awa\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_apple_music_container_subtype_mapping_.b20f24029d": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'apple_music_container_subtype_mapping')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.apple_music_container_subtype_mapping"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_apple_music_container_subtype_mapping_"], "unique_id": "test.my_new_project.source_not_transient_prod_apple_music_container_subtype_mapping_.b20f24029d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_apple_music_container_subtype_mapping_", "alias": "source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "apple_music_container_subtype_mapping"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_appl_fd014f6b2df29f759a4aa681beca5391"}, "created_at": 1660067942.378127, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'APPLE_MUSIC_CONTAINER_SUBTYPE_MAPPING'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_apple_id_mapping_.7abda51491": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'apple_id_mapping')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.apple_id_mapping"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_apple_id_mapping_"], "unique_id": "test.my_new_project.source_not_transient_prod_apple_id_mapping_.7abda51491", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_apple_id_mapping_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_apple_id_mapping_", "alias": "source_not_transient_prod_apple_id_mapping_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "apple_id_mapping"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_apple_id_mapping_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_apple_id_mapping_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.3864777, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'APPLE_ID_MAPPING'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_sony_apple_id_mapping_.096760bd4a": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'sony_apple_id_mapping')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.sony_apple_id_mapping"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_sony_apple_id_mapping_"], "unique_id": "test.my_new_project.source_not_transient_prod_sony_apple_id_mapping_.096760bd4a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_sony_apple_id_mapping_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_sony_apple_id_mapping_", "alias": "source_not_transient_prod_sony_apple_id_mapping_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "sony_apple_id_mapping"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_sony_apple_id_mapping_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_sony_apple_id_mapping_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.3950737, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'SONY_APPLE_ID_MAPPING'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_profile_.ca8f76c45c": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'profile')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.profile"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_profile_"], "unique_id": "test.my_new_project.source_not_transient_prod_profile_.ca8f76c45c", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_profile_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_profile_", "alias": "source_not_transient_prod_profile_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "profile"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_profile_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_profile_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.4030786, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'PROFILE'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_profile_has_access_to_label_participant_.4fdd8b066a": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'profile_has_access_to_label_participant')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.profile_has_access_to_label_participant"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_profile_has_access_to_label_participant_"], "unique_id": "test.my_new_project.source_not_transient_prod_profile_has_access_to_label_participant_.4fdd8b066a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_profile_has_access_to_label_participant_", "alias": "source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "profile_has_access_to_label_participant"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_prof_50c7b898bf17804d5d1cc29e40f2f4d7"}, "created_at": 1660067942.4118354, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'PROFILE_HAS_ACCESS_TO_LABEL_PARTICIPANT'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_label_participant_.cd577e1a40": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'label_participant')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.label_participant"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_label_participant_"], "unique_id": "test.my_new_project.source_not_transient_prod_label_participant_.cd577e1a40", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_label_participant_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_label_participant_", "alias": "source_not_transient_prod_label_participant_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "label_participant"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_label_participant_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_label_participant_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.4205961, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'LABEL_PARTICIPANT'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_identity_.3713f1e7ca": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'identity')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.identity"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_identity_"], "unique_id": "test.my_new_project.source_not_transient_prod_identity_.3713f1e7ca", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_identity_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_identity_", "alias": "source_not_transient_prod_identity_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "identity"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_identity_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_identity_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.4285514, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'IDENTITY'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_streams_.6bb12089c5": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_streams"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_apple_music_streams_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_streams_.6bb12089c5", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_apple_music_streams_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_apple_music_streams_", "alias": "source_not_transient_prod_staging_raw_apple_music_streams_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_apple_music_streams_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_apple_music_streams_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.436142, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_STREAMS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_apple_music_streams_download_date.be3e6419f9": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_streams"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_apple_music_streams_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_apple_music_streams_download_date.be3e6419f9", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_apple_music_streams_download_date", "alias": "source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__3887e206af4af8196dc30c3cbcba6ecd"}, "created_at": 1660067942.4435785, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_STREAMS'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_summary_streams_.5a521d9e3a": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_apple_music_summary_streams_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_summary_streams_.5a521d9e3a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_apple_music_summary_streams_", "alias": "source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_b709152f0383d561e26cb1bde9e8b80a"}, "created_at": 1660067942.4531617, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_SUMMARY_STREAMS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_apple_music_summary_streams_download_date.a4474335ce": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__8c58051aab4085996f154000d98603ea\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__8c58051aab4085996f154000d98603ea", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_apple_music_summary_streams_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_apple_music_summary_streams_download_date.a4474335ce", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__8c58051aab4085996f154000d98603ea.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_apple_music_summary_streams_download_date", "alias": "source_clustered_prod_staging__8c58051aab4085996f154000d98603ea", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__8c58051aab4085996f154000d98603ea.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__8c58051aab4085996f154000d98603ea.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__8c58051aab4085996f154000d98603ea"}, "created_at": 1660067942.4616492, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_SUMMARY_STREAMS'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_quantity_prod_staging_raw_apple_music_summary_streams_count___download_date_current_date_10__download_date__between_143509376_0_9_and_146347374_1_1.9dd0d183bc": {"raw_sql": "{{ test_quantity(**_dbt_generic_test_kwargs) }}{{ config(severity=\"warn\",alias=\"source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9\") }}", "test_metadata": {"name": "quantity", "kwargs": {"expression": "count(*)", "range": "between 143509376 * 0.9 and 146347374 * 1.1", "group_by": "download_date", "filter": "download_date >= current_date()-10", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_quantity", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "warn", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_quantity_prod_staging_raw_apple_music_summary_streams_count___download_date_current_date_10__download_date__between_143509376_0_9_and_146347374_1_1"], "unique_id": "test.my_new_project.source_quantity_prod_staging_raw_apple_music_summary_streams_count___download_date_current_date_10__download_date__between_143509376_0_9_and_146347374_1_1.9dd0d183bc", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9.sql", "original_file_path": "models/base/sources.yml", "name": "source_quantity_prod_staging_raw_apple_music_summary_streams_count___download_date_current_date_10__download_date__between_143509376_0_9_and_146347374_1_1", "alias": "source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9.sql", "deferred": false, "unrendered_config": {"severity": "warn", "alias": "source_quantity_prod_staging_r_bf9c2cffc985fd9a6d184030cf6008d9"}, "created_at": 1660067942.4713418, "compiled_sql": "select\n download_date,\n count(*) as test_value\nfrom facts.prod.staging_raw_apple_music_summary_streams\nwhere download_date >= current_date()-10\ngroup by download_date\nhaving test_value not between 143509376 * 0.9 and 146347374 * 1.1\norder by download_date", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_quantity_prod_staging_raw_apple_music_summary_streams_download_date_current_date_10__download_date__between_137953600_0_8_and_152226525_1_2.eb37d91697": {"raw_sql": "{{ test_quantity(**_dbt_generic_test_kwargs) }}{{ config(severity=\"error\",alias=\"source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77\") }}", "test_metadata": {"name": "quantity", "kwargs": {"range": "between 137953600 * 0.8 and 152226525 * 1.2", "group_by": "download_date", "filter": "download_date >= current_date()-10", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_quantity", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "error", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_quantity_prod_staging_raw_apple_music_summary_streams_download_date_current_date_10__download_date__between_137953600_0_8_and_152226525_1_2"], "unique_id": "test.my_new_project.source_quantity_prod_staging_raw_apple_music_summary_streams_download_date_current_date_10__download_date__between_137953600_0_8_and_152226525_1_2.eb37d91697", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77.sql", "original_file_path": "models/base/sources.yml", "name": "source_quantity_prod_staging_raw_apple_music_summary_streams_download_date_current_date_10__download_date__between_137953600_0_8_and_152226525_1_2", "alias": "source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77.sql", "deferred": false, "unrendered_config": {"severity": "error", "alias": "source_quantity_prod_staging_r_7291bd25203bdd57adfe4e76d3c17f77"}, "created_at": 1660067942.4848661, "compiled_sql": "select\n download_date,\n count(*) as test_value\nfrom facts.prod.staging_raw_apple_music_summary_streams\nwhere download_date >= current_date()-10\ngroup by download_date\nhaving test_value not between 137953600 * 0.8 and 152226525 * 1.2\norder by download_date", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_apple_music_summary_streams_download_date__download_date_current_date_10__1.9b50379aa6": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_apple_music_summary_streams_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_apple_music_summary_streams_download_date__download_date_current_date_10__1.9b50379aa6", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_apple_music_summary_streams_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_31f79a5a813a465289e6f494b67de1d4"}, "created_at": 1660067942.4973047, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_apple_music_summary_streams\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_null_prod_staging_raw_apple_music_summary_streams_isrc.8a5c991305": {"raw_sql": "{{ test_not_null(**_dbt_generic_test_kwargs) }}{{ config(tags=['ingestion_critical'],where=\"download_date >= current_date()-10\",warn_if=\">100\",error_if=\">1000\",alias=\"source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888\") }}", "test_metadata": {"name": "not_null", "kwargs": {"column_name": "isrc", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.dbt.test_not_null", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": "download_date >= current_date()-10", "limit": null, "fail_calc": "count(*)", "warn_if": ">100", "error_if": ">1000"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_null_prod_staging_raw_apple_music_summary_streams_isrc"], "unique_id": "test.my_new_project.source_not_null_prod_staging_raw_apple_music_summary_streams_isrc.8a5c991305", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_null_prod_staging_raw_apple_music_summary_streams_isrc", "alias": "source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888", "checksum": {"name": "none", "checksum": ""}, "tags": ["ingestion_critical"], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888.sql", "deferred": false, "unrendered_config": {"alias": "source_not_null_prod_staging_r_ed80c6332e0963405ba67ba3e0f51888", "where": "download_date >= current_date()-10", "warn_if": ">100", "error_if": ">1000"}, "created_at": 1660067942.5138583, "compiled_sql": "\n \n \n\n\n\nselect isrc\nfrom (select * from facts.prod.staging_raw_apple_music_summary_streams where download_date >= current_date()-10) dbt_subquery\nwhere isrc is null\n\n\n", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "isrc", "file_key_name": "sources.prod"}, "test.my_new_project.source_is_isrc_prod_staging_raw_apple_music_summary_streams_isrc.905ed7b712": {"raw_sql": "{{ test_is_isrc(**_dbt_generic_test_kwargs) }}{{ config(tags=['ingestion_critical'],where=\"download_date >= current_date()-10\",warn_if=\">1000\",error_if=\">5000\",alias=\"source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07\") }}", "test_metadata": {"name": "is_isrc", "kwargs": {"column_name": "isrc", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_is_isrc", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_summary_streams"]}, "config": {"enabled": true, "alias": "source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07", "schema": "dbt_test__audit", "database": null, "tags": ["ingestion_critical"], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": "download_date >= current_date()-10", "limit": null, "fail_calc": "count(*)", "warn_if": ">1000", "error_if": ">5000"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_is_isrc_prod_staging_raw_apple_music_summary_streams_isrc"], "unique_id": "test.my_new_project.source_is_isrc_prod_staging_raw_apple_music_summary_streams_isrc.905ed7b712", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07.sql", "original_file_path": "models/base/sources.yml", "name": "source_is_isrc_prod_staging_raw_apple_music_summary_streams_isrc", "alias": "source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07", "checksum": {"name": "none", "checksum": ""}, "tags": ["ingestion_critical"], "refs": [], "sources": [["prod", "staging_raw_apple_music_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07.sql", "deferred": false, "unrendered_config": {"tags": ["ingestion_critical"], "where": "download_date >= current_date()-10", "warn_if": ">1000", "error_if": ">5000", "alias": "source_is_isrc_prod_staging_ra_d4ef770723bec03d2e3839da5045eb07"}, "created_at": 1660067942.5220861, "compiled_sql": "select\n isrc\nfrom (select * from facts.prod.staging_raw_apple_music_summary_streams where download_date >= current_date()-10) dbt_subquery\nwhere\n not isrc regexp '^[A-Z]{2}[A-Z0-9]{3}[0-9]{7}$'\n", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "isrc", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_nonroyalty_summary_streams_.c2f16c2244": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_nonroyalty_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_nonroyalty_summary_streams"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_apple_music_nonroyalty_summary_streams_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_nonroyalty_summary_streams_.c2f16c2244", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_apple_music_nonroyalty_summary_streams_", "alias": "source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_nonroyalty_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_b6df74fd14fcda6c288a467fed00572c"}, "created_at": 1660067942.5378602, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_NONROYALTY_SUMMARY_STREAMS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date.cde1307976": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_nonroyalty_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_nonroyalty_summary_streams"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date.cde1307976", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date", "alias": "source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_nonroyalty_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__158c7ec88370e5f81d73d1df945303e7"}, "created_at": 1660067942.5497994, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_NONROYALTY_SUMMARY_STREAMS'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date__download_date_current_date_10__1.fa32801175": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 1, "filter": "download_date >= current_date()-10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_nonroyalty_summary_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_nonroyalty_summary_streams"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date__download_date_current_date_10__1"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date__download_date_current_date_10__1.fa32801175", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_apple_music_nonroyalty_summary_streams_download_date__download_date_current_date_10__1", "alias": "source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_nonroyalty_summary_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_7ceeec53fa6e18292bcd05324a8afc43"}, "created_at": 1660067942.5621502, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_apple_music_nonroyalty_summary_streams\nwhere download_date >= current_date()-10\ngroup by download_date\nqualify diff <> 1\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_nonroyalty_streams_.41f6b3f3d4": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_nonroyalty_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_nonroyalty_streams"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_apple_music_nonroyalty_streams_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_apple_music_nonroyalty_streams_.41f6b3f3d4", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_apple_music_nonroyalty_streams_", "alias": "source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_nonroyalty_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_66e3ea98aee0c4b9f2dcc66963de2dfb"}, "created_at": 1660067942.5738428, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_NONROYALTY_STREAMS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_apple_music_nonroyalty_streams_download_date.6d716294eb": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_apple_music_nonroyalty_streams')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_apple_music_nonroyalty_streams"]}, "config": {"enabled": true, "alias": "source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_apple_music_nonroyalty_streams_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_apple_music_nonroyalty_streams_download_date.6d716294eb", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_apple_music_nonroyalty_streams_download_date", "alias": "source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_apple_music_nonroyalty_streams"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_prod_staging__9c87fe2384e54446f880a3dea1d8eecd"}, "created_at": 1660067942.584521, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_APPLE_MUSIC_NONROYALTY_STREAMS'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_ritmogestion_.d92d5efd32": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_ritmogestion')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_ritmogestion"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_ritmogestion_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_ritmogestion_.d92d5efd32", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_ritmogestion_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_ritmogestion_", "alias": "source_not_transient_prod_staging_raw_ritmogestion_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_ritmogestion"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_ritmogestion_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_ritmogestion_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.5965192, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_RITMOGESTION'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_consecutive_prod_staging_raw_ritmogestion_download_date__download_date_current_date_7_10__7.6cbecb8e94": {"raw_sql": "{{ test_consecutive(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6\") }}", "test_metadata": {"name": "consecutive", "kwargs": {"period": 7, "filter": "download_date >= current_date() - 7*10", "column_name": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_ritmogestion')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_consecutive", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_ritmogestion"]}, "config": {"enabled": true, "alias": "source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_consecutive_prod_staging_raw_ritmogestion_download_date__download_date_current_date_7_10__7"], "unique_id": "test.my_new_project.source_consecutive_prod_staging_raw_ritmogestion_download_date__download_date_current_date_7_10__7.6cbecb8e94", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6.sql", "original_file_path": "models/base/sources.yml", "name": "source_consecutive_prod_staging_raw_ritmogestion_download_date__download_date_current_date_7_10__7", "alias": "source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_ritmogestion"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6.sql", "deferred": false, "unrendered_config": {"alias": "source_consecutive_prod_stagin_15de447131b211f5d62e813d56c930c6"}, "created_at": 1660067942.6053169, "compiled_sql": "select\n download_date,\n download_date - lag(download_date) over (order by download_date) diff\nfrom facts.prod.staging_raw_ritmogestion\nwhere download_date >= current_date() - 7*10\ngroup by download_date\nqualify diff <> 7\norder by download_date -- not sure if order by is necessary", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": "download_date", "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_map_transactiontype_.28ced501bf": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'map_transactiontype')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.map_transactiontype"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_map_transactiontype_"], "unique_id": "test.my_new_project.source_not_transient_prod_map_transactiontype_.28ced501bf", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_map_transactiontype_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_map_transactiontype_", "alias": "source_not_transient_prod_map_transactiontype_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "map_transactiontype"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_map_transactiontype_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_map_transactiontype_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.615264, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'MAP_TRANSACTIONTYPE'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_spotify_market_share_week_ending_.2089effe8d": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_spotify_market_share_week_ending')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_spotify_market_share_week_ending"]}, "config": {"enabled": true, "alias": "source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_spotify_market_share_week_ending_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_spotify_market_share_week_ending_.2089effe8d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_spotify_market_share_week_ending_", "alias": "source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_spotify_market_share_week_ending"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_prod_stag_ba791e9ff3079c779600e091aca2b8bf"}, "created_at": 1660067942.6248262, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_SPOTIFY_MARKET_SHARE_WEEK_ENDING'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_prod_staging_raw_line_place_.e295977c7c": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('prod', 'staging_raw_line_place')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_line_place"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_prod_staging_raw_line_place_"], "unique_id": "test.my_new_project.source_not_transient_prod_staging_raw_line_place_.e295977c7c", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_prod_staging_raw_line_place_.sql", "original_file_path": "models/base/sources.yml", "name": "source_not_transient_prod_staging_raw_line_place_", "alias": "source_not_transient_prod_staging_raw_line_place_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_line_place"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_line_place_.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_not_transient_prod_staging_raw_line_place_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.6344624, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_LINE_PLACE'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_clustered_prod_staging_raw_line_place_download_date.b09769a75f": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_line_place')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.prod.staging_raw_line_place"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_prod_staging_raw_line_place_download_date"], "unique_id": "test.my_new_project.source_clustered_prod_staging_raw_line_place_download_date.b09769a75f", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_prod_staging_raw_line_place_download_date.sql", "original_file_path": "models/base/sources.yml", "name": "source_clustered_prod_staging_raw_line_place_download_date", "alias": "source_clustered_prod_staging_raw_line_place_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_line_place"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_line_place_download_date.sql", "build_path": "target/run/my_new_project/models/base/sources.yml/source_clustered_prod_staging_raw_line_place_download_date.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.6432772, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom FACTS.information_schema.tables\nwhere\n table_schema = 'PROD'\n and table_name = 'STAGING_RAW_LINE_PLACE'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.prod"}, "test.my_new_project.source_not_transient_awal_neighbouring_rights_contributors_.5bd03853f1": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_neighbouring_rights', 'contributors')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_neighbouring_rights.contributors"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_neighbouring_rights_contributors_"], "unique_id": "test.my_new_project.source_not_transient_awal_neighbouring_rights_contributors_.5bd03853f1", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_neighbouring_rights_contributors_.sql", "original_file_path": "models/base/sources_awal_neighbouring_rights.yml", "name": "source_not_transient_awal_neighbouring_rights_contributors_", "alias": "source_not_transient_awal_neighbouring_rights_contributors_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_neighbouring_rights", "contributors"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_neighbouring_rights.yml/source_not_transient_awal_neighbouring_rights_contributors_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_neighbouring_rights.yml/source_not_transient_awal_neighbouring_rights_contributors_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.6952713, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'NEIGHBOURING_RIGHTS'\n and table_name = 'CONTRIBUTORS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_neighbouring_rights"}, "test.my_new_project.source_has_data_awal_neighbouring_rights_contributors_.2bb52e43bd": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_neighbouring_rights', 'contributors')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_neighbouring_rights.contributors"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_neighbouring_rights_contributors_"], "unique_id": "test.my_new_project.source_has_data_awal_neighbouring_rights_contributors_.2bb52e43bd", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_neighbouring_rights_contributors_.sql", "original_file_path": "models/base/sources_awal_neighbouring_rights.yml", "name": "source_has_data_awal_neighbouring_rights_contributors_", "alias": "source_has_data_awal_neighbouring_rights_contributors_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_neighbouring_rights", "contributors"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_neighbouring_rights.yml/source_has_data_awal_neighbouring_rights_contributors_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_neighbouring_rights.yml/source_has_data_awal_neighbouring_rights_contributors_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.7040577, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.neighbouring_rights.contributors\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_neighbouring_rights"}, "test.my_new_project.source_not_transient_awal_riverdeep_amazon_usage_joined_.9f67d4422f": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'amazon_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.amazon_usage_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_amazon_usage_joined_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_amazon_usage_joined_.9f67d4422f", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_amazon_usage_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_amazon_usage_joined_", "alias": "source_not_transient_awal_riverdeep_amazon_usage_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "amazon_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_amazon_usage_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_amazon_usage_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.7149813, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'AMAZON_USAGE_JOINED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_amazon_usage_joined_.31bd8fea0a": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'amazon_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.amazon_usage_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_amazon_usage_joined_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_amazon_usage_joined_.31bd8fea0a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_amazon_usage_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_amazon_usage_joined_", "alias": "source_has_data_awal_riverdeep_amazon_usage_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "amazon_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_amazon_usage_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_amazon_usage_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.7234514, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.amazon_usage_joined\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_clustered_awal_riverdeep_amazon_usage_joined_download_date.1ac9755366": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'amazon_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.amazon_usage_joined"]}, "config": {"enabled": true, "alias": "source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_amazon_usage_joined_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_amazon_usage_joined_download_date.1ac9755366", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_amazon_usage_joined_download_date", "alias": "source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "amazon_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_riverdee_de899bacae39b17bf294f4764a49398c"}, "created_at": 1660067942.7869315, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'AMAZON_USAGE_JOINED'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_applemusic_streams_joined_.334d86564b": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'applemusic_streams_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.applemusic_streams_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_applemusic_streams_joined_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_applemusic_streams_joined_.334d86564b", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_applemusic_streams_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_applemusic_streams_joined_", "alias": "source_not_transient_awal_riverdeep_applemusic_streams_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "applemusic_streams_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_applemusic_streams_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_applemusic_streams_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.796168, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'APPLEMUSIC_STREAMS_JOINED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_applemusic_streams_joined_.6eb5a0cece": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'applemusic_streams_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.applemusic_streams_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_applemusic_streams_joined_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_applemusic_streams_joined_.6eb5a0cece", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_applemusic_streams_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_applemusic_streams_joined_", "alias": "source_has_data_awal_riverdeep_applemusic_streams_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "applemusic_streams_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_applemusic_streams_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_applemusic_streams_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.8039386, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.applemusic_streams_joined\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_applemusic_summary_streams_joined_.a99ef7f5d9": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'applemusic_summary_streams_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.applemusic_summary_streams_joined"]}, "config": {"enabled": true, "alias": "source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_applemusic_summary_streams_joined_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_applemusic_summary_streams_joined_.a99ef7f5d9", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_applemusic_summary_streams_joined_", "alias": "source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "applemusic_summary_streams_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_awal_rive_66de5025a80e93a7ad77656bcc6b2d58"}, "created_at": 1660067942.810889, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'APPLEMUSIC_SUMMARY_STREAMS_JOINED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_applemusic_summary_streams_joined_.d01715b147": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5\") }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'applemusic_summary_streams_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.applemusic_summary_streams_joined"]}, "config": {"enabled": true, "alias": "source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_applemusic_summary_streams_joined_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_applemusic_summary_streams_joined_.d01715b147", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_applemusic_summary_streams_joined_", "alias": "source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "applemusic_summary_streams_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5.sql", "deferred": false, "unrendered_config": {"alias": "source_has_data_awal_riverdeep_21d6e5c5bdb86840c87854dab968cab5"}, "created_at": 1660067942.8190367, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.applemusic_summary_streams_joined\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_itunes_.7255e3a28c": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'itunes')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.itunes"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_itunes_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_itunes_.7255e3a28c", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_itunes_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_itunes_", "alias": "source_not_transient_awal_riverdeep_itunes_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "itunes"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_itunes_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_itunes_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.8265696, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'ITUNES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_itunes_.9bbd259250": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'itunes')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.itunes"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_itunes_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_itunes_.9bbd259250", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_itunes_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_itunes_", "alias": "source_has_data_awal_riverdeep_itunes_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "itunes"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_itunes_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_itunes_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.833812, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.itunes\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_sax_recording_ownership_.42c85e2812": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'sax_recording_ownership')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.sax_recording_ownership"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_sax_recording_ownership_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_sax_recording_ownership_.42c85e2812", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_sax_recording_ownership_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_sax_recording_ownership_", "alias": "source_not_transient_awal_riverdeep_sax_recording_ownership_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "sax_recording_ownership"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_sax_recording_ownership_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_sax_recording_ownership_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.8484783, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SAX_RECORDING_OWNERSHIP'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_sax_recording_ownership_.dd5af2e7e4": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'sax_recording_ownership')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.sax_recording_ownership"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_sax_recording_ownership_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_sax_recording_ownership_.dd5af2e7e4", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_sax_recording_ownership_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_sax_recording_ownership_", "alias": "source_has_data_awal_riverdeep_sax_recording_ownership_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "sax_recording_ownership"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_sax_recording_ownership_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_sax_recording_ownership_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.8557935, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.sax_recording_ownership\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_spotify_metadata_playlist_latest_.1440a6b220": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_metadata_playlist_latest')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_metadata_playlist_latest"]}, "config": {"enabled": true, "alias": "source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_spotify_metadata_playlist_latest_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_spotify_metadata_playlist_latest_.1440a6b220", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_spotify_metadata_playlist_latest_", "alias": "source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_metadata_playlist_latest"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_awal_rive_1f12989c94a13cc45ba8f552c27f36ab"}, "created_at": 1660067942.861983, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_METADATA_PLAYLIST_LATEST'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_spotify_metadata_playlist_latest_.94108c7410": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf\") }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_metadata_playlist_latest')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_metadata_playlist_latest"]}, "config": {"enabled": true, "alias": "source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_spotify_metadata_playlist_latest_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_spotify_metadata_playlist_latest_.94108c7410", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_spotify_metadata_playlist_latest_", "alias": "source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_metadata_playlist_latest"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf.sql", "deferred": false, "unrendered_config": {"alias": "source_has_data_awal_riverdeep_8d6c5e3e11f94162f0fe26d36e9468cf"}, "created_at": 1660067942.872576, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.spotify_metadata_playlist_latest\n)\n select *\n from testing\n 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"dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_spotify_metadata_playlists_tracks_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_spotify_metadata_playlists_tracks_.41dd9454fe", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rive_02795cf588a950881e2a0f938d33e470.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_spotify_metadata_playlists_tracks_", "alias": "source_not_transient_awal_rive_02795cf588a950881e2a0f938d33e470", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_metadata_playlists_tracks"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_02795cf588a950881e2a0f938d33e470.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_02795cf588a950881e2a0f938d33e470.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_awal_rive_02795cf588a950881e2a0f938d33e470"}, "created_at": 1660067942.8827045, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_METADATA_PLAYLISTS_TRACKS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_spotify_metadata_playlists_tracks_.cae4eef8c4": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_has_data_awal_riverdeep_64254673c4d7ff9923ffeba4fa228d0a\") }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_metadata_playlists_tracks')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_metadata_playlists_tracks"]}, "config": {"enabled": true, "alias": "source_has_data_awal_riverdeep_64254673c4d7ff9923ffeba4fa228d0a", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": 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"patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_64254673c4d7ff9923ffeba4fa228d0a.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_64254673c4d7ff9923ffeba4fa228d0a.sql", "deferred": false, "unrendered_config": {"alias": "source_has_data_awal_riverdeep_64254673c4d7ff9923ffeba4fa228d0a"}, "created_at": 1660067942.8938408, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.spotify_metadata_playlists_tracks\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_clustered_awal_riverdeep_spotify_metadata_playlists_tracks_download_date.b162295d21": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_metadata_playlists_tracks')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_metadata_playlists_tracks"]}, "config": {"enabled": true, "alias": "source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_spotify_metadata_playlists_tracks_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_spotify_metadata_playlists_tracks_download_date.b162295d21", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_spotify_metadata_playlists_tracks_download_date", "alias": "source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_metadata_playlists_tracks"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_riverdee_f5b6c181264e79a8facde533a705bb75"}, "created_at": 1660067942.9059296, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_METADATA_PLAYLISTS_TRACKS'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_spotify_playlist_summary_.2dac84a726": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_playlist_summary')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_playlist_summary"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_spotify_playlist_summary_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_spotify_playlist_summary_.2dac84a726", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_spotify_playlist_summary_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_spotify_playlist_summary_", "alias": "source_not_transient_awal_riverdeep_spotify_playlist_summary_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_playlist_summary"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_spotify_playlist_summary_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_spotify_playlist_summary_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.922844, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_PLAYLIST_SUMMARY'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_spotify_playlist_summary_.8082664f57": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_playlist_summary')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", 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"source_has_data_awal_riverdeep_spotify_playlist_summary_", "alias": "source_has_data_awal_riverdeep_spotify_playlist_summary_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_playlist_summary"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_spotify_playlist_summary_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_spotify_playlist_summary_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.9379685, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.spotify_playlist_summary\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_clustered_awal_riverdeep_spotify_playlist_summary_download_date.7a07710be6": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_playlist_summary')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_playlist_summary"]}, "config": {"enabled": true, "alias": "source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_spotify_playlist_summary_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_spotify_playlist_summary_download_date.7a07710be6", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_spotify_playlist_summary_download_date", "alias": "source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_playlist_summary"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_riverdee_2d952b15ff8cb0884ddfb9e47258bbad"}, "created_at": 1660067942.9492629, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_PLAYLIST_SUMMARY'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_spotify_playlist_territory_summary_.679c43d63a": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_playlist_territory_summary')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_playlist_territory_summary"]}, "config": {"enabled": true, "alias": "source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_spotify_playlist_territory_summary_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_spotify_playlist_territory_summary_.679c43d63a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_spotify_playlist_territory_summary_", "alias": "source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_playlist_territory_summary"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_awal_rive_e306eff03602a3624b5f4d4b421dd2e1"}, "created_at": 1660067942.9663246, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_PLAYLIST_TERRITORY_SUMMARY'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_spotify_playlist_territory_summary__1000000000.d7cfdadac1": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9\") }}", "test_metadata": {"name": "has_data", "kwargs": {"amount": ">1000000000", "model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_playlist_territory_summary')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_playlist_territory_summary"]}, "config": {"enabled": true, "alias": "source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_spotify_playlist_territory_summary__1000000000"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_spotify_playlist_territory_summary__1000000000.d7cfdadac1", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_spotify_playlist_territory_summary__1000000000", "alias": "source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_playlist_territory_summary"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9.sql", "deferred": false, "unrendered_config": {"alias": "source_has_data_awal_riverdeep_ad536166bbaee43e13994705d2b527c9"}, "created_at": 1660067942.9756596, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.spotify_playlist_territory_summary\n)\n select *\n from testing\n where not value >1000000000", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_clustered_awal_riverdeep_spotify_playlist_territory_summary_download_date.4a1562c38a": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_playlist_territory_summary')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_playlist_territory_summary"]}, "config": {"enabled": true, "alias": "source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_spotify_playlist_territory_summary_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_spotify_playlist_territory_summary_download_date.4a1562c38a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_spotify_playlist_territory_summary_download_date", "alias": "source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_playlist_territory_summary"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_riverdee_b3f98f160363f6d97f2aa2dbaa90b1b1"}, "created_at": 1660067942.9832315, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_PLAYLIST_TERRITORY_SUMMARY'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_spotify_usage_joined_.52305e4edb": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_usage_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_spotify_usage_joined_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_spotify_usage_joined_.52305e4edb", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_spotify_usage_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_spotify_usage_joined_", "alias": "source_not_transient_awal_riverdeep_spotify_usage_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_spotify_usage_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_spotify_usage_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067942.992797, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_USAGE_JOINED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_spotify_usage_joined_.b54b9e6b26": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_usage_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_spotify_usage_joined_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_spotify_usage_joined_.b54b9e6b26", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_spotify_usage_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_spotify_usage_joined_", "alias": "source_has_data_awal_riverdeep_spotify_usage_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_spotify_usage_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_spotify_usage_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0001268, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.spotify_usage_joined\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_clustered_awal_riverdeep_spotify_usage_joined_download_date.694727aa4a": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'spotify_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.spotify_usage_joined"]}, "config": {"enabled": true, "alias": "source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_spotify_usage_joined_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_spotify_usage_joined_download_date.694727aa4a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_spotify_usage_joined_download_date", "alias": "source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "spotify_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_riverdee_788298402ea00a16df4ea093389065fe"}, "created_at": 1660067943.0066297, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'SPOTIFY_USAGE_JOINED'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_youtube_asset_lifetime_lookup_.f20ec3f8e3": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881\") }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'youtube_asset_lifetime_lookup')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.youtube_asset_lifetime_lookup"]}, "config": {"enabled": true, "alias": "source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_youtube_asset_lifetime_lookup_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_youtube_asset_lifetime_lookup_.f20ec3f8e3", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_youtube_asset_lifetime_lookup_", "alias": "source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "youtube_asset_lifetime_lookup"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881.sql", "deferred": false, "unrendered_config": {"alias": "source_not_transient_awal_rive_87f8eeb061f7d22304704465d54e4881"}, "created_at": 1660067943.0160115, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'YOUTUBE_ASSET_LIFETIME_LOOKUP'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_.da8e3c5162": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'youtube_asset_lifetime_lookup')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.youtube_asset_lifetime_lookup"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_.da8e3c5162", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_", "alias": "source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "youtube_asset_lifetime_lookup"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_youtube_asset_lifetime_lookup_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0242023, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.youtube_asset_lifetime_lookup\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_riverdeep_youtube_usage_joined_.8ff357cebc": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'youtube_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.youtube_usage_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_riverdeep_youtube_usage_joined_"], "unique_id": "test.my_new_project.source_not_transient_awal_riverdeep_youtube_usage_joined_.8ff357cebc", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_riverdeep_youtube_usage_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_not_transient_awal_riverdeep_youtube_usage_joined_", "alias": "source_not_transient_awal_riverdeep_youtube_usage_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "youtube_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_youtube_usage_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_not_transient_awal_riverdeep_youtube_usage_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0307314, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'YOUTUBE_USAGE_JOINED'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_has_data_awal_riverdeep_youtube_usage_joined_.c369f866eb": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_riverdeep', 'youtube_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.youtube_usage_joined"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_riverdeep_youtube_usage_joined_"], "unique_id": "test.my_new_project.source_has_data_awal_riverdeep_youtube_usage_joined_.c369f866eb", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_riverdeep_youtube_usage_joined_.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_has_data_awal_riverdeep_youtube_usage_joined_", "alias": "source_has_data_awal_riverdeep_youtube_usage_joined_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "youtube_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_youtube_usage_joined_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_has_data_awal_riverdeep_youtube_usage_joined_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0380976, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.riverdeep.youtube_usage_joined\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_clustered_awal_riverdeep_youtube_usage_joined_download_date.da37a0082b": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'youtube_usage_joined')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_riverdeep.youtube_usage_joined"]}, "config": {"enabled": true, "alias": "source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_youtube_usage_joined_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_youtube_usage_joined_download_date.da37a0082b", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_youtube_usage_joined_download_date", "alias": "source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "youtube_usage_joined"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_riverdeep.yml/source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_riverdee_ebfc32ea9e35760167550173dae23d90"}, "created_at": 1660067943.0447404, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RIVERDEEP'\n and table_name = 'YOUTUBE_USAGE_JOINED'\n and upper(CLUSTERING_KEY) like 'LINEAR(DOWNLOAD_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_riverdeep"}, "test.my_new_project.source_not_transient_awal_rdl_datasets_royalty_detail_.2d31c3e7b9": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_rdl_datasets', 'royalty_detail')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_rdl_datasets.royalty_detail"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_rdl_datasets_royalty_detail_"], "unique_id": "test.my_new_project.source_not_transient_awal_rdl_datasets_royalty_detail_.2d31c3e7b9", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rdl_datasets_royalty_detail_.sql", "original_file_path": "models/base/sources_awal_rdl_datasets.yml", "name": "source_not_transient_awal_rdl_datasets_royalty_detail_", "alias": "source_not_transient_awal_rdl_datasets_royalty_detail_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_rdl_datasets", "royalty_detail"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_not_transient_awal_rdl_datasets_royalty_detail_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_not_transient_awal_rdl_datasets_royalty_detail_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0536952, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RDL_DATASETS'\n and table_name = 'ROYALTY_DETAIL'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_rdl_datasets"}, "test.my_new_project.source_has_data_awal_rdl_datasets_royalty_detail_.6208b341e6": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_rdl_datasets', 'royalty_detail')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_rdl_datasets.royalty_detail"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_rdl_datasets_royalty_detail_"], "unique_id": "test.my_new_project.source_has_data_awal_rdl_datasets_royalty_detail_.6208b341e6", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_rdl_datasets_royalty_detail_.sql", "original_file_path": "models/base/sources_awal_rdl_datasets.yml", "name": "source_has_data_awal_rdl_datasets_royalty_detail_", "alias": "source_has_data_awal_rdl_datasets_royalty_detail_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_rdl_datasets", "royalty_detail"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_has_data_awal_rdl_datasets_royalty_detail_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_has_data_awal_rdl_datasets_royalty_detail_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0613494, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.rdl_datasets.royalty_detail\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_rdl_datasets"}, "test.my_new_project.source_not_transient_awal_rdl_datasets_royalty_payment_detail_.b594cd259a": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_rdl_datasets', 'royalty_payment_detail')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_rdl_datasets.royalty_payment_detail"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_rdl_datasets_royalty_payment_detail_"], "unique_id": "test.my_new_project.source_not_transient_awal_rdl_datasets_royalty_payment_detail_.b594cd259a", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_rdl_datasets_royalty_payment_detail_.sql", "original_file_path": "models/base/sources_awal_rdl_datasets.yml", "name": "source_not_transient_awal_rdl_datasets_royalty_payment_detail_", "alias": "source_not_transient_awal_rdl_datasets_royalty_payment_detail_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_rdl_datasets", "royalty_payment_detail"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_not_transient_awal_rdl_datasets_royalty_payment_detail_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_not_transient_awal_rdl_datasets_royalty_payment_detail_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0691953, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RDL_DATASETS'\n and table_name = 'ROYALTY_PAYMENT_DETAIL'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_rdl_datasets"}, "test.my_new_project.source_has_data_awal_rdl_datasets_royalty_payment_detail_.9fa46bac7d": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_rdl_datasets', 'royalty_payment_detail')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_rdl_datasets.royalty_payment_detail"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_rdl_datasets_royalty_payment_detail_"], "unique_id": "test.my_new_project.source_has_data_awal_rdl_datasets_royalty_payment_detail_.9fa46bac7d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_rdl_datasets_royalty_payment_detail_.sql", "original_file_path": "models/base/sources_awal_rdl_datasets.yml", "name": "source_has_data_awal_rdl_datasets_royalty_payment_detail_", "alias": "source_has_data_awal_rdl_datasets_royalty_payment_detail_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_rdl_datasets", "royalty_payment_detail"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_has_data_awal_rdl_datasets_royalty_payment_detail_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_has_data_awal_rdl_datasets_royalty_payment_detail_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0763717, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.rdl_datasets.royalty_payment_detail\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_rdl_datasets"}, "test.my_new_project.source_clustered_awal_rdl_datasets_royalty_payment_detail_roy_pay_payment_date.9e9ace4824": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "roy_pay_payment_date", "model": "{{ get_where_subquery(source('awal_rdl_datasets', 'royalty_payment_detail')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_rdl_datasets.royalty_payment_detail"]}, "config": {"enabled": true, "alias": "source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_rdl_datasets_royalty_payment_detail_roy_pay_payment_date"], "unique_id": "test.my_new_project.source_clustered_awal_rdl_datasets_royalty_payment_detail_roy_pay_payment_date.9e9ace4824", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67.sql", "original_file_path": "models/base/sources_awal_rdl_datasets.yml", "name": "source_clustered_awal_rdl_datasets_royalty_payment_detail_roy_pay_payment_date", "alias": "source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_rdl_datasets", "royalty_payment_detail"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_rdl_datasets.yml/source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_rdl_data_e7ca0b1450c264a953fc8b7f5e6bca67"}, "created_at": 1660067943.0826612, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'RDL_DATASETS'\n and table_name = 'ROYALTY_PAYMENT_DETAIL'\n and upper(CLUSTERING_KEY) like 'LINEAR(ROY_PAY_PAYMENT_DATE%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_rdl_datasets"}, "test.my_new_project.source_not_transient_awal_fpa_current_exchange_rates_.26adcbb47d": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'current_exchange_rates')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.current_exchange_rates"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_current_exchange_rates_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_current_exchange_rates_.26adcbb47d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_current_exchange_rates_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_current_exchange_rates_", "alias": "source_not_transient_awal_fpa_current_exchange_rates_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "current_exchange_rates"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_current_exchange_rates_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_current_exchange_rates_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0925825, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'CURRENT_EXCHANGE_RATES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_current_exchange_rates__209.d2b985a3f2": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"amount": ">= 209", "model": "{{ get_where_subquery(source('awal_fpa', 'current_exchange_rates')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.current_exchange_rates"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_current_exchange_rates__209"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_current_exchange_rates__209.d2b985a3f2", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_current_exchange_rates__209.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_current_exchange_rates__209", "alias": "source_has_data_awal_fpa_current_exchange_rates__209", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "current_exchange_rates"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_current_exchange_rates__209.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_current_exchange_rates__209.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.0996244, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.current_exchange_rates\n)\n select *\n from testing\n where not value >= 209", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_fpa_pr_awal_.0e61e26d08": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fpa_pr_awal')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fpa_pr_awal"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_fpa_pr_awal_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_fpa_pr_awal_.0e61e26d08", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_fpa_pr_awal_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_fpa_pr_awal_", "alias": "source_not_transient_awal_fpa_fpa_pr_awal_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fpa_pr_awal"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fpa_pr_awal_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fpa_pr_awal_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1071267, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'FPA_PR_AWAL'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_fpa_pr_awal_.3f3b35d88d": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fpa_pr_awal')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fpa_pr_awal"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_fpa_pr_awal_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_fpa_pr_awal_.3f3b35d88d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_fpa_pr_awal_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_fpa_pr_awal_", "alias": "source_has_data_awal_fpa_fpa_pr_awal_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fpa_pr_awal"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fpa_pr_awal_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fpa_pr_awal_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1147087, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.fpa_pr_awal\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_fpa_recoupment_.f9883190e8": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fpa_recoupment')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fpa_recoupment"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_fpa_recoupment_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_fpa_recoupment_.f9883190e8", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_fpa_recoupment_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_fpa_recoupment_", "alias": "source_not_transient_awal_fpa_fpa_recoupment_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fpa_recoupment"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fpa_recoupment_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fpa_recoupment_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1212018, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'FPA_RECOUPMENT'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_fpa_recoupment__2139016.3c808dd44f": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"amount": ">= 2139016", "model": "{{ get_where_subquery(source('awal_fpa', 'fpa_recoupment')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fpa_recoupment"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_fpa_recoupment__2139016"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_fpa_recoupment__2139016.3c808dd44f", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_fpa_recoupment__2139016.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_fpa_recoupment__2139016", "alias": "source_has_data_awal_fpa_fpa_recoupment__2139016", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fpa_recoupment"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fpa_recoupment__2139016.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fpa_recoupment__2139016.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1286516, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.fpa_recoupment\n)\n select *\n from testing\n where not value >= 2139016", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_fund_lookup_.9f2cd46f95": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fund_lookup')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fund_lookup"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_fund_lookup_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_fund_lookup_.9f2cd46f95", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_fund_lookup_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_fund_lookup_", "alias": "source_not_transient_awal_fpa_fund_lookup_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fund_lookup"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fund_lookup_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fund_lookup_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1363378, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'FUND_LOOKUP'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_fund_lookup_.46f3c939ad": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fund_lookup')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fund_lookup"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_fund_lookup_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_fund_lookup_.46f3c939ad", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_fund_lookup_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_fund_lookup_", "alias": "source_has_data_awal_fpa_fund_lookup_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fund_lookup"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fund_lookup_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fund_lookup_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1434898, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.fund_lookup\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_fund_lookup_view_.f7e7d39cec": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fund_lookup_view')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fund_lookup_view"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_fund_lookup_view_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_fund_lookup_view_.f7e7d39cec", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_fund_lookup_view_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_fund_lookup_view_", "alias": "source_not_transient_awal_fpa_fund_lookup_view_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fund_lookup_view"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fund_lookup_view_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_fund_lookup_view_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1503627, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'FUND_LOOKUP_VIEW'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_fund_lookup_view_.eeb38fccc8": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'fund_lookup_view')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.fund_lookup_view"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_fund_lookup_view_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_fund_lookup_view_.eeb38fccc8", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_fund_lookup_view_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_fund_lookup_view_", "alias": "source_has_data_awal_fpa_fund_lookup_view_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "fund_lookup_view"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fund_lookup_view_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_fund_lookup_view_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1584282, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.fund_lookup_view\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_historical_recoupment_.323391c5f7": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'historical_recoupment')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.historical_recoupment"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_historical_recoupment_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_historical_recoupment_.323391c5f7", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_historical_recoupment_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_historical_recoupment_", "alias": "source_not_transient_awal_fpa_historical_recoupment_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "historical_recoupment"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_historical_recoupment_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_historical_recoupment_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1647887, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'HISTORICAL_RECOUPMENT'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_historical_recoupment_.cce1e8beef": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'historical_recoupment')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.historical_recoupment"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_historical_recoupment_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_historical_recoupment_.cce1e8beef", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_historical_recoupment_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_historical_recoupment_", "alias": "source_has_data_awal_fpa_historical_recoupment_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "historical_recoupment"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_historical_recoupment_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_historical_recoupment_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1725767, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.historical_recoupment\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_processed_revenue_.7167831d37": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'processed_revenue')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.processed_revenue"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_processed_revenue_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_processed_revenue_.7167831d37", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_processed_revenue_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_processed_revenue_", "alias": "source_not_transient_awal_fpa_processed_revenue_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "processed_revenue"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_processed_revenue_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_processed_revenue_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.179419, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'PROCESSED_REVENUE'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_processed_revenue_.41a8ef0492": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'processed_revenue')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.processed_revenue"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_processed_revenue_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_processed_revenue_.41a8ef0492", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_processed_revenue_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_processed_revenue_", "alias": "source_has_data_awal_fpa_processed_revenue_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "processed_revenue"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_processed_revenue_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_processed_revenue_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.1871538, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.processed_revenue\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_clustered_awal_fpa_processed_revenue_business_unit_payment_year.d3b303935f": {"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(alias=\"source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26\") }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "business_unit,payment_year", "model": "{{ get_where_subquery(source('awal_fpa', 'processed_revenue')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.processed_revenue"]}, "config": {"enabled": true, "alias": "source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26", "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_fpa_processed_revenue_business_unit_payment_year"], "unique_id": "test.my_new_project.source_clustered_awal_fpa_processed_revenue_business_unit_payment_year.d3b303935f", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_clustered_awal_fpa_processed_revenue_business_unit_payment_year", "alias": "source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "processed_revenue"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26.sql", "deferred": false, "unrendered_config": {"alias": "source_clustered_awal_fpa_proc_a73c04cf3d522dcfc628a5b867858c26"}, "created_at": 1660067943.1940796, "compiled_sql": "select 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'PROCESSED_REVENUE'\n and upper(CLUSTERING_KEY) like 'LINEAR(BUSINESS_UNIT,PAYMENT_YEAR%'\n and AUTO_CLUSTERING_ON = 'YES'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_sax_recoupment_.2be4f64688": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'sax_recoupment')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.sax_recoupment"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_sax_recoupment_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_sax_recoupment_.2be4f64688", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_sax_recoupment_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_sax_recoupment_", "alias": "source_not_transient_awal_fpa_sax_recoupment_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "sax_recoupment"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_sax_recoupment_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_sax_recoupment_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.203737, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'SAX_RECOUPMENT'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_sax_recoupment_.265d5b5b31": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'sax_recoupment')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.sax_recoupment"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_sax_recoupment_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_sax_recoupment_.265d5b5b31", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_sax_recoupment_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_sax_recoupment_", "alias": "source_has_data_awal_fpa_sax_recoupment_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "sax_recoupment"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_sax_recoupment_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_sax_recoupment_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.210995, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.sax_recoupment\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_segmentation_lookup_.d4378c5f81": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'segmentation_lookup')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.segmentation_lookup"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_segmentation_lookup_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_segmentation_lookup_.d4378c5f81", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_segmentation_lookup_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_segmentation_lookup_", "alias": "source_not_transient_awal_fpa_segmentation_lookup_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "segmentation_lookup"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_segmentation_lookup_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_segmentation_lookup_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.218009, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'SEGMENTATION_LOOKUP'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_segmentation_lookup_.df9f544399": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'segmentation_lookup')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.segmentation_lookup"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_segmentation_lookup_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_segmentation_lookup_.df9f544399", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_segmentation_lookup_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_segmentation_lookup_", "alias": "source_has_data_awal_fpa_segmentation_lookup_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "segmentation_lookup"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_segmentation_lookup_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_segmentation_lookup_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.2250342, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.segmentation_lookup\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_sub_deal_agreement_mappings_.5abdcf459d": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'sub_deal_agreement_mappings')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.sub_deal_agreement_mappings"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_sub_deal_agreement_mappings_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_sub_deal_agreement_mappings_.5abdcf459d", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_sub_deal_agreement_mappings_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_sub_deal_agreement_mappings_", "alias": "source_not_transient_awal_fpa_sub_deal_agreement_mappings_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "sub_deal_agreement_mappings"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_sub_deal_agreement_mappings_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_sub_deal_agreement_mappings_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.2327104, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'SUB_DEAL_AGREEMENT_MAPPINGS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_sub_deal_agreement_mappings_.dffa97174f": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'sub_deal_agreement_mappings')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.sub_deal_agreement_mappings"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_sub_deal_agreement_mappings_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_sub_deal_agreement_mappings_.dffa97174f", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_sub_deal_agreement_mappings_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_sub_deal_agreement_mappings_", "alias": "source_has_data_awal_fpa_sub_deal_agreement_mappings_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "sub_deal_agreement_mappings"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_sub_deal_agreement_mappings_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_sub_deal_agreement_mappings_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.2403514, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.sub_deal_agreement_mappings\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_not_transient_awal_fpa_territory_groups_.d7ad94ae7c": {"raw_sql": "{{ test_not_transient(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "not_transient", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'territory_groups')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_not_transient", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.territory_groups"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_not_transient_awal_fpa_territory_groups_"], "unique_id": "test.my_new_project.source_not_transient_awal_fpa_territory_groups_.d7ad94ae7c", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_not_transient_awal_fpa_territory_groups_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_not_transient_awal_fpa_territory_groups_", "alias": "source_not_transient_awal_fpa_territory_groups_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "territory_groups"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_territory_groups_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_not_transient_awal_fpa_territory_groups_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.2467122, "compiled_sql": "\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom AWAL_SAX.information_schema.tables\nwhere\n table_schema = 'FPA'\n and table_name = 'TERRITORY_GROUPS'", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}, "test.my_new_project.source_has_data_awal_fpa_territory_groups_.018864a6ae": {"raw_sql": "{{ test_has_data(**_dbt_generic_test_kwargs) }}", "test_metadata": {"name": "has_data", "kwargs": {"model": "{{ get_where_subquery(source('awal_fpa', 'territory_groups')) }}"}, "namespace": null}, "compiled": true, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_has_data", "macro.dbt.get_where_subquery", "macro.dbt.should_store_failures", "macro.dbt.statement"], "nodes": ["source.my_new_project.awal_fpa.territory_groups"]}, "config": {"enabled": true, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_has_data_awal_fpa_territory_groups_"], "unique_id": "test.my_new_project.source_has_data_awal_fpa_territory_groups_.018864a6ae", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_has_data_awal_fpa_territory_groups_.sql", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "source_has_data_awal_fpa_territory_groups_", "alias": "source_has_data_awal_fpa_territory_groups_", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_fpa", "territory_groups"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": "target/compiled/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_territory_groups_.sql", "build_path": "target/run/my_new_project/models/base/sources_awal_fpa.yml/source_has_data_awal_fpa_territory_groups_.sql", "deferred": false, "unrendered_config": {}, "created_at": 1660067943.2551885, "compiled_sql": "with testing as (\n select\n count(*) as value\n from awal_sax.fpa.territory_groups\n)\n select *\n from testing\n where not value >0", "extra_ctes_injected": true, "extra_ctes": [], "relation_name": null, "column_name": null, "file_key_name": "sources.awal_fpa"}}, "sources": {"source.my_new_project.prod.fact_analytics": {"fqn": ["my_new_project", "base", "prod", "fact_analytics"], "database": "facts", "schema": "prod", "unique_id": "source.my_new_project.prod.fact_analytics", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "models/base/sources.yml", "original_file_path": "models/base/sources.yml", "name": "fact_analytics", "source_name": "prod", "source_description": "", "loader": "", "identifier": "fact_analytics", "resource_type": "source", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "", "columns": {}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "facts.prod.fact_analytics", "created_at": 1660067941.9990656}, "source.my_new_project.prod.dim_label": {"fqn": ["my_new_project", "base", "prod", "dim_label"], "database": "facts", "schema": "prod", "unique_id": 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"meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "awal_sax.fpa.fpa_recoupment", "created_at": 1660067943.1343284}, "source.my_new_project.awal_fpa.fund_lookup": {"fqn": ["my_new_project", "base", "awal_fpa", "fund_lookup"], "database": "awal_sax", "schema": "fpa", "unique_id": "source.my_new_project.awal_fpa.fund_lookup", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "models/base/sources_awal_fpa.yml", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "fund_lookup", "source_name": "awal_fpa", "source_description": "", "loader": "", "identifier": "fund_lookup", "resource_type": "source", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": 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{"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "AWAL report \"fund_lookup_view\" from s3://prod-orcd-awal-drop/AWAL_TO_ORCH/FINANCIAL_REPORTING/FPA/fund_lookup_view/", "columns": {}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "awal_sax.fpa.fund_lookup_view", "created_at": 1660067943.1633036}, "source.my_new_project.awal_fpa.historical_recoupment": {"fqn": ["my_new_project", "base", "awal_fpa", "historical_recoupment"], "database": "awal_sax", "schema": "fpa", "unique_id": "source.my_new_project.awal_fpa.historical_recoupment", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": 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"original_file_path": "models/base/sources_awal_fpa.yml", "name": "sub_deal_agreement_mappings", "source_name": "awal_fpa", "source_description": "", "loader": "", "identifier": "sub_deal_agreement_mappings", "resource_type": "source", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "AWAL report \"sub_deal_agreement_mappings\" from s3://prod-orcd-awal-drop/AWAL_TO_ORCH/FINANCIAL_REPORTING/FPA/sub_deal_agreement_mappings/", "columns": {}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "awal_sax.fpa.sub_deal_agreement_mappings", "created_at": 1660067943.2452116}, "source.my_new_project.awal_fpa.territory_groups": {"fqn": ["my_new_project", "base", "awal_fpa", "territory_groups"], "database": "awal_sax", "schema": "fpa", "unique_id": "source.my_new_project.awal_fpa.territory_groups", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "models/base/sources_awal_fpa.yml", "original_file_path": "models/base/sources_awal_fpa.yml", "name": "territory_groups", "source_name": "awal_fpa", "source_description": "", "loader": "", "identifier": "territory_groups", "resource_type": "source", "quoting": {"database": null, "schema": null, "identifier": null, "column": null}, "loaded_at_field": null, "freshness": {"warn_after": {"count": null, "period": null}, "error_after": {"count": null, "period": null}, "filter": null}, "external": null, "description": "AWAL report \"territory_groups\" from s3://prod-orcd-awal-drop/AWAL_TO_ORCH/FINANCIAL_REPORTING/FPA/territory_groups/", "columns": {}, "meta": {}, "source_meta": {}, "tags": [], "config": {"enabled": true}, "patch_path": null, "unrendered_config": {}, "relation_name": "awal_sax.fpa.territory_groups", "created_at": 1660067943.2601306}}, "macros": {"macro.my_new_project.test_equal_rowcount_fact_analytics": {"unique_id": "macro.my_new_project.test_equal_rowcount_fact_analytics", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/equal_row_count_fact_analytics.sql", "original_file_path": "macros/equal_row_count_fact_analytics.sql", "name": "test_equal_rowcount_fact_analytics", "macro_sql": "{% test equal_rowcount_fact_analytics(model, fa_filter, model_filter = '1=1', date_column='download_activity_date', date_expression='= current_date()-7') %}\n \n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'coalesce(diff_count, 0)') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n {{ return('') }}\n{% endif %}\n\nwith fa as (\n select sum(units) as count_fa from {{ source('prod', 'fact_analytics') }} a\n LEFT JOIN facts.prod.dim_transactiontype dt ON a.transactiontypeid = dt.transactiontypeid\n LEFT JOIN intelligence.prod.transaction_type_group it ON dt.transactiontypeid = it.transactiontypeid\n LEFT JOIN facts.prod.dim_licensor l ON a.licensorid = l.licensorid\n LEFT JOIN orchard_app_reporting_v2.art_relations_prod_art_relations.releases r ON a.releaseid = r.upc\n where download_activity_date {{ date_expression }}\n and {{ fa_filter }}\n),\nbi as (\n select sum(streams) as count_bi from {{ model }}\n where {{ date_column }} {{ date_expression }} and {{model_filter}}\n),\nfinal as (\n select\n count_fa,\n count_bi,\n abs(count_bi - count_fa) as diff_count\n from fa\n cross join bi\n)\n\nselect *\nfrom final {% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9172873}, "macro.my_new_project.download_date_filter": {"unique_id": "macro.my_new_project.download_date_filter", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/download_date_filter.sql", "original_file_path": "macros/download_date_filter.sql", "name": "download_date_filter", "macro_sql": "{% macro download_date_filter(\n full_start_date='current_date()-365*3',\n full_end_date='current_date()-2',\n incremental_start_date='current_date()-8',\n incremental_end_date='current_date()-2',\n date_column='download_date'\n )\n%}\n\n{#\n we can override date range in vars by adding command line parameter.\n https://docs.getdbt.com/docs/building-a-dbt-project/building-models/using-variables\n\n Examples:\n\n Exact dates range:\n --vars \"{START_DATE: date('2022-01-01'), END_DATE: date('2022-01-07')}\"\n\n It supports date expressions:\n --vars \"{START_DATE: current_date()-2}\"\n\n#}\n\n{% if is_incremental () %}\n {% set start_date = incremental_start_date %}\n {% set end_date = incremental_end_date %}\n{% else %}\n {% set start_date = full_start_date %}\n {% set end_date = full_end_date %}\n{% endif %}\n\n\n{# optionally override values from vars #}\n{% set start_date = var('START_DATE', start_date) %}\n{% set end_date = var('END_DATE', end_date) %}\n\n{{ date_column }} BETWEEN {{ start_date }} AND {{ end_date }}\n\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.is_incremental"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9205494}, "macro.my_new_project.delete_expired_entries": {"unique_id": "macro.my_new_project.delete_expired_entries", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/delete_expired_entries.sql", "original_file_path": "macros/delete_expired_entries.sql", "name": "delete_expired_entries", "macro_sql": "{%\n macro delete_expired_entries(\n expiration_period_days=365,\n date_column='activity_date'\n )\n%}\n\nDELETE FROM {{ this }}\nWHERE {{ date_column }} < DATEADD(day, -({{ expiration_period_days }}), CURRENT_DATE);\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.921793}, "macro.my_new_project.test_has_data": {"unique_id": "macro.my_new_project.test_has_data", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_has_data.sql", "original_file_path": "macros/tests/test_has_data.sql", "name": "test_has_data", "macro_sql": "{% macro test_has_data(model, expression='count(*)', amount='>0') -%}\n\nwith testing as (\n select\n {{ expression }} as value\n from {{ model }}\n)\n select *\n from testing\n where not value {{ amount }}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9229844}, "macro.my_new_project.test_quantity": {"unique_id": "macro.my_new_project.test_quantity", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_quantity.sql", "original_file_path": "macros/tests/test_quantity.sql", "name": "test_quantity", "macro_sql": "{% macro test_quantity(model, group_by, range, filter=None, expression='count(*)') -%}\n\nselect\n {{ group_by }},\n {{ expression }} as test_value\nfrom {{ model}}\n{% if filter -%}\n where {{ filter }}\n{%- endif %}\ngroup by {{ group_by }}\nhaving test_value not {{ range }}\norder by {{ group_by }}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9247522}, "macro.my_new_project.test_not_transient": {"unique_id": "macro.my_new_project.test_not_transient", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_not_transient.sql", "original_file_path": "macros/tests/test_not_transient.sql", "name": "test_not_transient", "macro_sql": "{% macro test_not_transient(model) -%}\n\n{# if IS_TRANSIENT for the table is 'NO' then it extinguish initial row by minus #}\nselect 'NO'\nminus\nselect IS_TRANSIENT\nfrom {{ model.database|upper }}.information_schema.tables\nwhere\n table_schema = '{{ model.schema|upper }}'\n and table_name = '{{ model.table|upper }}'\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9260232}, "macro.my_new_project.test_aggregate": {"unique_id": "macro.my_new_project.test_aggregate", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_aggregate.sql", "original_file_path": "macros/tests/test_aggregate.sql", "name": "test_aggregate", "macro_sql": "{% macro test_aggregate(model, column_name, function, expression, filter=None, group_by=None) -%}\n{#\n test aggregate function to correspond expression.\n\n `column_name` is an aggregate function arguemnt value\n\n `function` is any aggregate function https://docs.snowflake.com/en/sql-reference/functions-aggregation.html\n\n `expression` is a test expression. It will be applied to result of aggregate function:\n Sample values:\n * \"> 0\"\n * \"BETWEEN a AND b\"\n * \"IN (a,b,c)\"\n\n `filter` optional value for model where clause\n\n `group_by` optional value for model group by clause\n\n#}\nselect\n {% if group_by -%}\n {{ group_by }},\n {%- endif %}\n {{ function }}({{ column_name}}) as aggregate_value\nfrom {{ model}}\n{% if filter -%}\n where {{ filter }}\n{%- endif %}\n{% if group_by -%}\n group by {{ group_by }}\n{%- endif %}\nhaving aggregate_value not {{ expression }}\n{% if group_by -%}\n order by {{ group_by }}\n{%- endif %}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9291809}, "macro.my_new_project.test_one_of": {"unique_id": "macro.my_new_project.test_one_of", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_one_of.sql", "original_file_path": "macros/tests/test_one_of.sql", "name": "test_one_of", "macro_sql": "{% macro test_one_of(model, column_name, values, filter=None, group_by=None) -%}\n\nselect\n {% if group_by -%}\n {{ group_by }},\n {%- endif %}\n {{ column_name}} as value\nfrom {{ model}}\n{% if filter -%}\n where {{ filter }}\n{%- endif %}\n{% if group_by -%}\n group by {{ group_by }}\n{%- endif %}\nhaving value not in ({{ values }})\n{% if group_by -%}\n order by {{ group_by }}\n{%- endif %}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9318466}, "macro.my_new_project.test_consecutive": {"unique_id": "macro.my_new_project.test_consecutive", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_consecutive.sql", "original_file_path": "macros/tests/test_consecutive.sql", "name": "test_consecutive", "macro_sql": "{% macro test_consecutive(model, column_name, filter=None, period=1) -%}\n\nselect\n {{ column_name }},\n {{ column_name }} - lag({{ column_name }}) over (order by {{ column_name }}) diff\nfrom {{ model }}\n{% if filter -%}\n where {{ filter }}\n{%- endif %}\ngroup by {{ column_name }}\nqualify diff <> {{ period }}\norder by {{ column_name }} -- not sure if order by is necessary\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9343946}, "macro.my_new_project.test_clustered": {"unique_id": "macro.my_new_project.test_clustered", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_clustered.sql", "original_file_path": "macros/tests/test_clustered.sql", "name": "test_clustered", "macro_sql": "{% macro test_clustered(model, by) -%}\n\nselect 'CLUSTERING_ERROR'\nminus\nselect 'CLUSTERING_ERROR'\nfrom {{ model.database|upper }}.information_schema.tables\nwhere\n table_schema = '{{ model.schema|upper }}'\n and table_name = '{{ model.table|upper }}'\n and upper(CLUSTERING_KEY) like 'LINEAR({{ by|upper }}%'\n and AUTO_CLUSTERING_ON = 'YES'\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9359736}, "macro.my_new_project.test_transient": {"unique_id": "macro.my_new_project.test_transient", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_transient.sql", "original_file_path": "macros/tests/test_transient.sql", "name": "test_transient", "macro_sql": "{% macro test_transient(model) -%}\n\n{# if IS_TRANSIENT for the table is 'YES' then it extinguish initial row by minus #}\nselect 'YES'\nminus\nselect IS_TRANSIENT\nfrom {{ model.database|upper }}.information_schema.tables\nwhere\n table_schema = '{{ model.schema|upper }}'\n and table_name = '{{ model.table|upper }}'\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9375005}, "macro.my_new_project.test_is_isrc": {"unique_id": "macro.my_new_project.test_is_isrc", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_is_isrc.sql", "original_file_path": "macros/tests/test_is_isrc.sql", "name": "test_is_isrc", "macro_sql": "{% macro test_is_isrc(model, column_name, filter=None) -%}\n\nselect\n {{ column_name }}\nfrom {{ model }}\nwhere\n not {{ column_name }} regexp '^[A-Z]{2}[A-Z0-9]{3}[0-9]{7}$'\n{% if filter -%}\n and {{ filter }}\n{%- endif %}\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.939011}, "macro.my_new_project.test_min": {"unique_id": "macro.my_new_project.test_min", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "macros/tests/test_min.sql", "original_file_path": "macros/tests/test_min.sql", "name": "test_min", "macro_sql": "{% macro test_min(model, column_name, value, filter=None, group_by=None) -%}\n{#\n Test the minimum value tof the column to comply the critertia (value).\n\n `value` - is expression for acceptable value for minimum. Samples: '>0', 'between \"2022-01-01\" and \"2022-05-01'\n#}\n\n{{ test_aggregate(model, column_name=column_name, function='min', expression=value, filter=filter, group_by=group_by) }}\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.my_new_project.test_aggregate"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067935.9411023}, "macro.dbt_snowflake.snowflake__create_table_as": {"unique_id": "macro.dbt_snowflake.snowflake__create_table_as", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__create_table_as", "macro_sql": "{% macro snowflake__create_table_as(temporary, relation, sql) -%}\n {%- set transient = config.get('transient', default=true) -%}\n {%- set cluster_by_keys = config.get('cluster_by', default=none) -%}\n {%- set enable_automatic_clustering = config.get('automatic_clustering', default=false) -%}\n {%- set copy_grants = config.get('copy_grants', default=false) -%}\n\n {%- if cluster_by_keys is not none and cluster_by_keys is string -%}\n {%- set cluster_by_keys = [cluster_by_keys] -%}\n {%- endif -%}\n {%- if cluster_by_keys is not none -%}\n {%- set cluster_by_string = cluster_by_keys|join(\", \")-%}\n {% else %}\n {%- set cluster_by_string = none -%}\n {%- endif -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {{ sql_header if sql_header is not none }}\n\n create or replace {% if temporary -%}\n temporary\n {%- elif transient -%}\n transient\n {%- endif %} table {{ relation }} {% if copy_grants and not temporary -%} copy grants {%- endif %} as\n (\n {%- if cluster_by_string is not none -%}\n select * from(\n {{ sql }}\n ) order by ({{ cluster_by_string }})\n {%- else -%}\n {{ sql }}\n {%- endif %}\n );\n {% if cluster_by_string is not none and not temporary -%}\n alter table {{relation}} cluster by ({{cluster_by_string}});\n {%- endif -%}\n {% if enable_automatic_clustering and cluster_by_string is not none and not temporary -%}\n alter table {{relation}} resume recluster;\n {%- endif -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0026386}, "macro.dbt_snowflake.get_column_comment_sql": {"unique_id": "macro.dbt_snowflake.get_column_comment_sql", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "get_column_comment_sql", "macro_sql": "{% macro get_column_comment_sql(column_name, column_dict) -%}\n {% if (column_name|upper in column_dict) -%}\n {% set matched_column = column_name|upper -%}\n {% elif (column_name|lower in column_dict) -%}\n {% set matched_column = column_name|lower -%}\n {% elif (column_name in column_dict) -%}\n {% set matched_column = column_name -%}\n {% else -%}\n {% set matched_column = None -%}\n {% endif -%}\n {% if matched_column -%}\n {{ adapter.quote(column_name) }} COMMENT $${{ column_dict[matched_column]['description'] | replace('$', '[$]') }}$$\n {%- else -%}\n {{ adapter.quote(column_name) }} COMMENT $$$$\n {%- endif -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0052733}, "macro.dbt_snowflake.get_persist_docs_column_list": {"unique_id": "macro.dbt_snowflake.get_persist_docs_column_list", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "get_persist_docs_column_list", "macro_sql": "{% macro get_persist_docs_column_list(model_columns, query_columns) %}\n(\n {% for column_name in query_columns %}\n {{ get_column_comment_sql(column_name, model_columns) }}\n {{- \", \" if not loop.last else \"\" }}\n {% endfor %}\n)\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.get_column_comment_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.006288}, "macro.dbt_snowflake.snowflake__create_view_as": {"unique_id": "macro.dbt_snowflake.snowflake__create_view_as", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__create_view_as", "macro_sql": "{% macro snowflake__create_view_as(relation, sql) -%}\n {%- set secure = config.get('secure', default=false) -%}\n {%- set copy_grants = config.get('copy_grants', default=false) -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {{ sql_header if sql_header is not none }}\n create or replace {% if secure -%}\n secure\n {%- endif %} view {{ relation }}\n {% if config.persist_column_docs() -%}\n {% set model_columns = model.columns %}\n {% set query_columns = get_columns_in_query(sql) %}\n {{ get_persist_docs_column_list(model_columns, query_columns) }}\n\n {%- endif %}\n {% if copy_grants -%} copy grants {%- endif %} as (\n {{ sql }}\n );\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_columns_in_query", "macro.dbt_snowflake.get_persist_docs_column_list"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0114362}, "macro.dbt_snowflake.snowflake__get_columns_in_relation": {"unique_id": "macro.dbt_snowflake.snowflake__get_columns_in_relation", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__get_columns_in_relation", "macro_sql": "{% macro snowflake__get_columns_in_relation(relation) -%}\n {%- set sql -%}\n describe table {{ relation }}\n {%- endset -%}\n {%- set result = run_query(sql) -%}\n\n {% set maximum = 10000 %}\n {% if (result | length) >= maximum %}\n {% set msg %}\n Too many columns in relation {{ relation }}! dbt can only get\n information about relations with fewer than {{ maximum }} columns.\n {% endset %}\n {% do exceptions.raise_compiler_error(msg) %}\n {% endif %}\n\n {% set columns = [] %}\n {% for row in result %}\n {% do columns.append(api.Column.from_description(row['name'], row['type'])) %}\n {% endfor %}\n {% do return(columns) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0166821}, "macro.dbt_snowflake.snowflake__list_schemas": {"unique_id": "macro.dbt_snowflake.snowflake__list_schemas", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__list_schemas", "macro_sql": "{% macro snowflake__list_schemas(database) -%}\n {# 10k limit from here: https://docs.snowflake.net/manuals/sql-reference/sql/show-schemas.html#usage-notes #}\n {% set maximum = 10000 %}\n {% set sql -%}\n show terse schemas in database {{ database }}\n limit {{ maximum }}\n {%- endset %}\n {% set result = run_query(sql) %}\n {% if (result | length) >= maximum %}\n {% set msg %}\n Too many schemas in database {{ database }}! dbt can only get\n information about databases with fewer than {{ maximum }} schemas.\n {% endset %}\n {% do exceptions.raise_compiler_error(msg) %}\n {% endif %}\n {{ return(result) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0201554}, "macro.dbt_snowflake.snowflake__list_relations_without_caching": {"unique_id": "macro.dbt_snowflake.snowflake__list_relations_without_caching", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__list_relations_without_caching", "macro_sql": "{% macro snowflake__list_relations_without_caching(schema_relation) %}\n {%- set sql -%}\n show terse objects in {{ schema_relation }}\n {%- endset -%}\n\n {%- set result = run_query(sql) -%}\n {% set maximum = 10000 %}\n {% if (result | length) >= maximum %}\n {% set msg %}\n Too many schemas in schema {{ schema_relation }}! dbt can only get\n information about schemas with fewer than {{ maximum }} objects.\n {% endset %}\n {% do exceptions.raise_compiler_error(msg) %}\n {% endif %}\n {%- do return(result) -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.023413}, "macro.dbt_snowflake.snowflake__check_schema_exists": {"unique_id": "macro.dbt_snowflake.snowflake__check_schema_exists", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__check_schema_exists", "macro_sql": "{% macro snowflake__check_schema_exists(information_schema, schema) -%}\n {% call statement('check_schema_exists', fetch_result=True) -%}\n select count(*)\n from {{ information_schema }}.schemata\n where upper(schema_name) = upper('{{ schema }}')\n and upper(catalog_name) = upper('{{ information_schema.database }}')\n {%- endcall %}\n {{ return(load_result('check_schema_exists').table) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.025433}, "macro.dbt_snowflake.snowflake__current_timestamp": {"unique_id": "macro.dbt_snowflake.snowflake__current_timestamp", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__current_timestamp", "macro_sql": "{% macro snowflake__current_timestamp() -%}\n convert_timezone('UTC', current_timestamp())\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0259674}, "macro.dbt_snowflake.snowflake__snapshot_string_as_time": {"unique_id": "macro.dbt_snowflake.snowflake__snapshot_string_as_time", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__snapshot_string_as_time", "macro_sql": "{% macro snowflake__snapshot_string_as_time(timestamp) -%}\n {%- set result = \"to_timestamp_ntz('\" ~ timestamp ~ \"')\" -%}\n {{ return(result) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0269837}, "macro.dbt_snowflake.snowflake__snapshot_get_time": {"unique_id": "macro.dbt_snowflake.snowflake__snapshot_get_time", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__snapshot_get_time", "macro_sql": "{% macro snowflake__snapshot_get_time() -%}\n to_timestamp_ntz({{ current_timestamp() }})\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0276158}, "macro.dbt_snowflake.snowflake__rename_relation": {"unique_id": "macro.dbt_snowflake.snowflake__rename_relation", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__rename_relation", "macro_sql": "{% macro snowflake__rename_relation(from_relation, to_relation) -%}\n {% call statement('rename_relation') -%}\n alter table {{ from_relation }} rename to {{ to_relation }}\n {%- endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0287502}, "macro.dbt_snowflake.snowflake__alter_column_type": {"unique_id": "macro.dbt_snowflake.snowflake__alter_column_type", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__alter_column_type", "macro_sql": "{% macro snowflake__alter_column_type(relation, column_name, new_column_type) -%}\n {% call statement('alter_column_type') %}\n alter table {{ relation }} alter {{ adapter.quote(column_name) }} set data type {{ new_column_type }};\n {% endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0304644}, "macro.dbt_snowflake.snowflake__alter_relation_comment": {"unique_id": "macro.dbt_snowflake.snowflake__alter_relation_comment", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__alter_relation_comment", "macro_sql": "{% macro snowflake__alter_relation_comment(relation, relation_comment) -%}\n comment on {{ relation.type }} {{ relation }} IS $${{ relation_comment | replace('$', '[$]') }}$$;\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0318553}, "macro.dbt_snowflake.snowflake__alter_column_comment": {"unique_id": "macro.dbt_snowflake.snowflake__alter_column_comment", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__alter_column_comment", "macro_sql": "{% macro snowflake__alter_column_comment(relation, column_dict) -%}\n {% set existing_columns = adapter.get_columns_in_relation(relation) | map(attribute=\"name\") | list %}\n alter {{ relation.type }} {{ relation }} alter\n {% for column_name in existing_columns if (column_name in existing_columns) or (column_name|lower in existing_columns) %}\n {{ get_column_comment_sql(column_name, column_dict) }} {{- ',' if not loop.last else ';' }}\n {% endfor %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.get_column_comment_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.035047}, "macro.dbt_snowflake.get_current_query_tag": {"unique_id": "macro.dbt_snowflake.get_current_query_tag", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "get_current_query_tag", "macro_sql": "{% macro get_current_query_tag() -%}\n {{ return(run_query(\"show parameters like 'query_tag' in session\").rows[0]['value']) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0366867}, "macro.dbt_snowflake.set_query_tag": {"unique_id": "macro.dbt_snowflake.set_query_tag", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "set_query_tag", "macro_sql": "{% macro set_query_tag() -%}\n {{ return(adapter.dispatch('set_query_tag', 'dbt')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__set_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.037876}, "macro.dbt_snowflake.snowflake__set_query_tag": {"unique_id": "macro.dbt_snowflake.snowflake__set_query_tag", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__set_query_tag", "macro_sql": "{% macro snowflake__set_query_tag() -%}\n {% set new_query_tag = config.get('query_tag') %}\n {% if new_query_tag %}\n {% set original_query_tag = get_current_query_tag() %}\n {{ log(\"Setting query_tag to '\" ~ new_query_tag ~ \"'. Will reset to '\" ~ original_query_tag ~ \"' after materialization.\") }}\n {% do run_query(\"alter session set query_tag = '{}'\".format(new_query_tag)) %}\n {{ return(original_query_tag)}}\n {% endif %}\n {{ return(none)}}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.get_current_query_tag", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0408022}, "macro.dbt_snowflake.unset_query_tag": {"unique_id": "macro.dbt_snowflake.unset_query_tag", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "unset_query_tag", "macro_sql": "{% macro unset_query_tag(original_query_tag) -%}\n {{ return(adapter.dispatch('unset_query_tag', 'dbt')(original_query_tag)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__unset_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0418808}, "macro.dbt_snowflake.snowflake__unset_query_tag": {"unique_id": "macro.dbt_snowflake.snowflake__unset_query_tag", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__unset_query_tag", "macro_sql": "{% macro snowflake__unset_query_tag(original_query_tag) -%}\n {% set new_query_tag = config.get('query_tag') %}\n {% if new_query_tag %}\n {% if original_query_tag %}\n {{ log(\"Resetting query_tag to '\" ~ original_query_tag ~ \"'.\") }}\n {% do run_query(\"alter session set query_tag = '{}'\".format(original_query_tag)) %}\n {% else %}\n {{ log(\"No original query_tag, unsetting parameter.\") }}\n {% do run_query(\"alter session unset query_tag\") %}\n {% endif %}\n {% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0447628}, "macro.dbt_snowflake.snowflake__alter_relation_add_remove_columns": {"unique_id": "macro.dbt_snowflake.snowflake__alter_relation_add_remove_columns", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__alter_relation_add_remove_columns", "macro_sql": "{% macro snowflake__alter_relation_add_remove_columns(relation, add_columns, remove_columns) %}\n\n {% if add_columns %}\n\n {% set sql -%}\n alter {{ relation.type }} {{ relation }} add column\n {% for column in add_columns %}\n {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n {% endfor %}\n {%- endset -%}\n\n {% do run_query(sql) %}\n\n {% endif %}\n\n {% if remove_columns %}\n\n {% set sql -%}\n alter {{ relation.type }} {{ relation }} drop column\n {% for column in remove_columns %}\n {{ column.name }}{{ ',' if not loop.last }}\n {% endfor %}\n {%- endset -%}\n\n {% do run_query(sql) %}\n\n {% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0492613}, "macro.dbt_snowflake.snowflake_dml_explicit_transaction": {"unique_id": "macro.dbt_snowflake.snowflake_dml_explicit_transaction", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake_dml_explicit_transaction", "macro_sql": "{% macro snowflake_dml_explicit_transaction(dml) %}\n {#\n Use this macro to wrap all INSERT, MERGE, UPDATE, DELETE, and TRUNCATE\n statements before passing them into run_query(), or calling in the 'main' statement\n of a materialization\n #}\n {% set dml_transaction -%}\n begin;\n {{ dml }};\n commit;\n {%- endset %}\n\n {% do return(dml_transaction) %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0504873}, "macro.dbt_snowflake.snowflake__truncate_relation": {"unique_id": "macro.dbt_snowflake.snowflake__truncate_relation", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__truncate_relation", "macro_sql": "{% macro snowflake__truncate_relation(relation) -%}\n {% set truncate_dml %}\n truncate table {{ relation }}\n {% endset %}\n {% call statement('truncate_relation') -%}\n {{ snowflake_dml_explicit_transaction(truncate_dml) }}\n {%- endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_snowflake.snowflake_dml_explicit_transaction"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0518246}, "macro.dbt_snowflake.snowflake__copy_grants": {"unique_id": "macro.dbt_snowflake.snowflake__copy_grants", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__copy_grants", "macro_sql": "{% macro snowflake__copy_grants() %}\n {% set copy_grants = config.get('copy_grants', False) %}\n {{ return(copy_grants) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0529165}, "macro.dbt_snowflake.snowflake__support_multiple_grantees_per_dcl_statement": {"unique_id": "macro.dbt_snowflake.snowflake__support_multiple_grantees_per_dcl_statement", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/adapters.sql", "original_file_path": "macros/adapters.sql", "name": "snowflake__support_multiple_grantees_per_dcl_statement", "macro_sql": "\n\n{%- macro snowflake__support_multiple_grantees_per_dcl_statement() -%}\n {{ return(False) }}\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0534976}, "macro.dbt_snowflake.snowflake__get_catalog": {"unique_id": "macro.dbt_snowflake.snowflake__get_catalog", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/catalog.sql", "original_file_path": "macros/catalog.sql", "name": "snowflake__get_catalog", "macro_sql": "{% macro snowflake__get_catalog(information_schema, schemas) -%}\n {% set query %}\n with tables as (\n\n select\n table_catalog as \"table_database\",\n table_schema as \"table_schema\",\n table_name as \"table_name\",\n table_type as \"table_type\",\n comment as \"table_comment\",\n\n -- note: this is the _role_ that owns the table\n table_owner as \"table_owner\",\n\n 'Clustering Key' as \"stats:clustering_key:label\",\n clustering_key as \"stats:clustering_key:value\",\n 'The key used to cluster this table' as \"stats:clustering_key:description\",\n (clustering_key is not null) as \"stats:clustering_key:include\",\n\n 'Row Count' as \"stats:row_count:label\",\n row_count as \"stats:row_count:value\",\n 'An approximate count of rows in this table' as \"stats:row_count:description\",\n (row_count is not null) as \"stats:row_count:include\",\n\n 'Approximate Size' as \"stats:bytes:label\",\n bytes as \"stats:bytes:value\",\n 'Approximate size of the table as reported by Snowflake' as \"stats:bytes:description\",\n (bytes is not null) as \"stats:bytes:include\",\n\n 'Last Modified' as \"stats:last_modified:label\",\n to_varchar(convert_timezone('UTC', last_altered), 'yyyy-mm-dd HH24:MI'||'UTC') as \"stats:last_modified:value\",\n 'The timestamp for last update/change' as \"stats:last_modified:description\",\n (last_altered is not null and table_type='BASE TABLE') as \"stats:last_modified:include\"\n\n from {{ information_schema }}.tables\n\n ),\n\n columns as (\n\n select\n table_catalog as \"table_database\",\n table_schema as \"table_schema\",\n table_name as \"table_name\",\n\n column_name as \"column_name\",\n ordinal_position as \"column_index\",\n data_type as \"column_type\",\n comment as \"column_comment\"\n\n from {{ information_schema }}.columns\n )\n\n select *\n from tables\n join columns using (\"table_database\", \"table_schema\", \"table_name\")\n where (\n {%- for schema in schemas -%}\n upper(\"table_schema\") = upper('{{ schema }}'){%- if not loop.last %} or {% endif -%}\n {%- endfor -%}\n )\n order by \"column_index\"\n {%- endset -%}\n\n {{ return(run_query(query)) }}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0586138}, "macro.dbt_snowflake.snowflake__escape_single_quotes": {"unique_id": "macro.dbt_snowflake.snowflake__escape_single_quotes", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "name": "snowflake__escape_single_quotes", "macro_sql": "{% macro snowflake__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\", \"\\\\'\") }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0601323}, "macro.dbt_snowflake.snowflake__right": {"unique_id": "macro.dbt_snowflake.snowflake__right", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "name": "snowflake__right", "macro_sql": "{% macro snowflake__right(string_text, length_expression) %}\n\n case when {{ length_expression }} = 0\n then ''\n else\n right(\n {{ string_text }},\n {{ length_expression }}\n )\n end\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0618696}, "macro.dbt_snowflake.snowflake__safe_cast": {"unique_id": "macro.dbt_snowflake.snowflake__safe_cast", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "name": "snowflake__safe_cast", "macro_sql": "{% macro snowflake__safe_cast(field, type) %}\n try_cast({{field}} as {{type}})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.06365}, "macro.dbt_snowflake.snowflake__bool_or": {"unique_id": "macro.dbt_snowflake.snowflake__bool_or", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "name": "snowflake__bool_or", "macro_sql": "{% macro snowflake__bool_or(expression) -%}\n\n boolor_agg({{ expression }})\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.065005}, "macro.dbt_snowflake.snowflake__load_csv_rows": {"unique_id": "macro.dbt_snowflake.snowflake__load_csv_rows", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "name": "snowflake__load_csv_rows", "macro_sql": "{% macro snowflake__load_csv_rows(model, agate_table) %}\n {% set batch_size = get_batch_size() %}\n {% set cols_sql = get_seed_column_quoted_csv(model, agate_table.column_names) %}\n {% set bindings = [] %}\n\n {% set statements = [] %}\n\n {% for chunk in agate_table.rows | batch(batch_size) %}\n {% set bindings = [] %}\n\n {% for row in chunk %}\n {% do bindings.extend(row) %}\n {% endfor %}\n\n {% set sql %}\n insert into {{ this.render() }} ({{ cols_sql }}) values\n {% for row in chunk -%}\n ({%- for column in agate_table.column_names -%}\n %s\n {%- if not loop.last%},{%- endif %}\n {%- endfor -%})\n {%- if not loop.last%},{%- endif %}\n {%- endfor %}\n {% endset %}\n\n {% do adapter.add_query('BEGIN', auto_begin=False) %}\n {% do adapter.add_query(sql, bindings=bindings, abridge_sql_log=True) %}\n {% do adapter.add_query('COMMIT', auto_begin=False) %}\n\n {% if loop.index0 == 0 %}\n {% do statements.append(sql) %}\n {% endif %}\n {% endfor %}\n\n {# Return SQL so we can render it out into the compiled files #}\n {{ return(statements[0]) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_batch_size", "macro.dbt.get_seed_column_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0763152}, "macro.dbt_snowflake.materialization_seed_snowflake": {"unique_id": "macro.dbt_snowflake.materialization_seed_snowflake", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/seed.sql", "original_file_path": "macros/materializations/seed.sql", "name": "materialization_seed_snowflake", "macro_sql": "{% materialization seed, adapter='snowflake' %}\n {% set original_query_tag = set_query_tag() %}\n\n {% set relations = materialization_seed_default() %}\n\n {% do unset_query_tag(original_query_tag) %}\n\n {{ return(relations) }}\n{% endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.set_query_tag", "macro.dbt.materialization_seed_default", "macro.dbt_snowflake.unset_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.077757}, "macro.dbt_snowflake.dbt_snowflake_validate_get_incremental_strategy": {"unique_id": "macro.dbt_snowflake.dbt_snowflake_validate_get_incremental_strategy", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "name": "dbt_snowflake_validate_get_incremental_strategy", "macro_sql": "{% macro dbt_snowflake_validate_get_incremental_strategy(config) %}\n {#-- Find and validate the incremental strategy #}\n {%- set strategy = config.get(\"incremental_strategy\", default=\"merge\") -%}\n\n {% set invalid_strategy_msg -%}\n Invalid incremental strategy provided: {{ strategy }}\n Expected one of: 'merge', 'delete+insert'\n {%- endset %}\n {% if strategy not in ['merge', 'delete+insert'] %}\n {% do exceptions.raise_compiler_error(invalid_strategy_msg) %}\n {% endif %}\n\n {% do return(strategy) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0925467}, "macro.dbt_snowflake.dbt_snowflake_get_incremental_sql": {"unique_id": "macro.dbt_snowflake.dbt_snowflake_get_incremental_sql", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "name": "dbt_snowflake_get_incremental_sql", "macro_sql": "{% macro dbt_snowflake_get_incremental_sql(strategy, tmp_relation, target_relation, unique_key, dest_columns) %}\n {% if strategy == 'merge' %}\n {% do return(get_merge_sql(target_relation, tmp_relation, unique_key, dest_columns)) %}\n {% elif strategy == 'delete+insert' %}\n {% do return(get_delete_insert_merge_sql(target_relation, tmp_relation, unique_key, dest_columns)) %}\n {% else %}\n {% do exceptions.raise_compiler_error('invalid strategy: ' ~ strategy) %}\n {% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_merge_sql", "macro.dbt.get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.0952635}, "macro.dbt_snowflake.materialization_incremental_snowflake": {"unique_id": "macro.dbt_snowflake.materialization_incremental_snowflake", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/incremental.sql", "original_file_path": "macros/materializations/incremental.sql", "name": "materialization_incremental_snowflake", "macro_sql": "{% materialization incremental, adapter='snowflake' -%}\n\n {% set original_query_tag = set_query_tag() %}\n\n {%- set unique_key = config.get('unique_key') -%}\n {%- set full_refresh_mode = (should_full_refresh()) -%}\n\n {% set target_relation = this %}\n {% set existing_relation = load_relation(this) %}\n {% set tmp_relation = make_temp_relation(this) %}\n\n {% set grant_config = config.get('grants') %}\n\n {#-- Validate early so we don't run SQL if the strategy is invalid --#}\n {% set strategy = dbt_snowflake_validate_get_incremental_strategy(config) -%}\n {% set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') %}\n\n {{ run_hooks(pre_hooks) }}\n\n {% if existing_relation is none %}\n {% set build_sql = create_table_as(False, target_relation, sql) %}\n\n {% elif existing_relation.is_view %}\n {#-- Can't overwrite a view with a table - we must drop --#}\n {{ log(\"Dropping relation \" ~ target_relation ~ \" because it is a view and this model is a table.\") }}\n {% do adapter.drop_relation(existing_relation) %}\n {% set build_sql = create_table_as(False, target_relation, sql) %}\n\n {% elif full_refresh_mode %}\n {% set build_sql = create_table_as(False, target_relation, sql) %}\n\n {% else %}\n {% do run_query(create_table_as(True, tmp_relation, sql)) %}\n {% do adapter.expand_target_column_types(\n from_relation=tmp_relation,\n to_relation=target_relation) %}\n {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n {% set dest_columns = process_schema_changes(on_schema_change, tmp_relation, existing_relation) %}\n {% if not dest_columns %}\n {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n {% endif %}\n {% set build_sql = dbt_snowflake_get_incremental_sql(strategy, tmp_relation, target_relation, unique_key, dest_columns) %}\n\n {% endif %}\n\n {%- call statement('main') -%}\n {{ build_sql }}\n {%- endcall -%}\n\n {{ run_hooks(post_hooks) }}\n\n {% set target_relation = target_relation.incorporate(type='table') %}\n\n {% set should_revoke =\n should_revoke(existing_relation.is_table, full_refresh_mode) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n {% do unset_query_tag(original_query_tag) %}\n\n {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.set_query_tag", "macro.dbt.should_full_refresh", "macro.dbt.load_relation", "macro.dbt.make_temp_relation", "macro.dbt_snowflake.dbt_snowflake_validate_get_incremental_strategy", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.run_hooks", "macro.dbt.create_table_as", "macro.dbt.run_query", "macro.dbt.process_schema_changes", "macro.dbt_snowflake.dbt_snowflake_get_incremental_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt_snowflake.unset_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1071615}, "macro.dbt_snowflake.snowflake__get_merge_sql": {"unique_id": "macro.dbt_snowflake.snowflake__get_merge_sql", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/merge.sql", "original_file_path": "macros/materializations/merge.sql", "name": "snowflake__get_merge_sql", "macro_sql": "{% macro snowflake__get_merge_sql(target, source_sql, unique_key, dest_columns, predicates) -%}\n\n {#\n Workaround for Snowflake not being happy with a merge on a constant-false predicate.\n When no unique_key is provided, this macro will do a regular insert. If a unique_key\n is provided, then this macro will do a proper merge instead.\n #}\n\n {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute='name')) -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {%- set dml -%}\n {%- if unique_key is none -%}\n\n {{ sql_header if sql_header is not none }}\n\n insert into {{ target }} ({{ dest_cols_csv }})\n (\n select {{ dest_cols_csv }}\n from {{ source_sql }}\n )\n\n {%- else -%}\n\n {{ default__get_merge_sql(target, source_sql, unique_key, dest_columns, predicates) }}\n\n {%- endif -%}\n {%- endset -%}\n\n {% do return(snowflake_dml_explicit_transaction(dml)) %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_quoted_csv", "macro.dbt.default__get_merge_sql", "macro.dbt_snowflake.snowflake_dml_explicit_transaction"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1141224}, "macro.dbt_snowflake.snowflake__get_delete_insert_merge_sql": {"unique_id": "macro.dbt_snowflake.snowflake__get_delete_insert_merge_sql", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/merge.sql", "original_file_path": "macros/materializations/merge.sql", "name": "snowflake__get_delete_insert_merge_sql", "macro_sql": "{% macro snowflake__get_delete_insert_merge_sql(target, source, unique_key, dest_columns) %}\n {% set dml = default__get_delete_insert_merge_sql(target, source, unique_key, dest_columns) %}\n {% do return(snowflake_dml_explicit_transaction(dml)) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_delete_insert_merge_sql", "macro.dbt_snowflake.snowflake_dml_explicit_transaction"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1156697}, "macro.dbt_snowflake.snowflake__snapshot_merge_sql": {"unique_id": "macro.dbt_snowflake.snowflake__snapshot_merge_sql", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/merge.sql", "original_file_path": "macros/materializations/merge.sql", "name": "snowflake__snapshot_merge_sql", "macro_sql": "{% macro snowflake__snapshot_merge_sql(target, source, insert_cols) %}\n {% set dml = default__snapshot_merge_sql(target, source, insert_cols) %}\n {% do return(snowflake_dml_explicit_transaction(dml)) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__snapshot_merge_sql", "macro.dbt_snowflake.snowflake_dml_explicit_transaction"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1169856}, "macro.dbt_snowflake.materialization_view_snowflake": {"unique_id": "macro.dbt_snowflake.materialization_view_snowflake", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/view.sql", "original_file_path": "macros/materializations/view.sql", "name": "materialization_view_snowflake", "macro_sql": "{% materialization view, adapter='snowflake' -%}\n\n {% set original_query_tag = set_query_tag() %}\n {% set to_return = create_or_replace_view() %}\n\n {% set target_relation = this.incorporate(type='view') %}\n\n {% do persist_docs(target_relation, model, for_columns=false) %}\n\n {% do return(to_return) %}\n\n {% do unset_query_tag(original_query_tag) %}\n\n{%- endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.set_query_tag", "macro.dbt.create_or_replace_view", "macro.dbt.persist_docs", "macro.dbt_snowflake.unset_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1202137}, "macro.dbt_snowflake.materialization_table_snowflake": {"unique_id": "macro.dbt_snowflake.materialization_table_snowflake", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/table.sql", "original_file_path": "macros/materializations/table.sql", "name": "materialization_table_snowflake", "macro_sql": "{% materialization table, adapter='snowflake' %}\n\n {% set original_query_tag = set_query_tag() %}\n\n {%- set identifier = model['alias'] -%}\n\n {% set grant_config = config.get('grants') %}\n\n {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n {%- set target_relation = api.Relation.create(identifier=identifier,\n schema=schema,\n database=database, type='table') -%}\n\n {{ run_hooks(pre_hooks) }}\n\n {#-- Drop the relation if it was a view to \"convert\" it in a table. This may lead to\n -- downtime, but it should be a relatively infrequent occurrence #}\n {% if old_relation is not none and not old_relation.is_table %}\n {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n {{ drop_relation_if_exists(old_relation) }}\n {% endif %}\n\n --build model\n {% call statement('main') -%}\n {{ create_table_as(false, target_relation, sql) }}\n {%- endcall %}\n\n {{ run_hooks(post_hooks) }}\n\n {% set should_revoke = should_revoke(old_relation, full_refresh_mode=True) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n {% do unset_query_tag(original_query_tag) %}\n\n {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.set_query_tag", "macro.dbt.run_hooks", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt_snowflake.unset_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1291914}, "macro.dbt_snowflake.materialization_snapshot_snowflake": {"unique_id": "macro.dbt_snowflake.materialization_snapshot_snowflake", "package_name": "dbt_snowflake", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/snowflake", "path": "macros/materializations/snapshot.sql", "original_file_path": "macros/materializations/snapshot.sql", "name": "materialization_snapshot_snowflake", "macro_sql": "{% materialization snapshot, adapter='snowflake' %}\n {% set original_query_tag = set_query_tag() %}\n {% set relations = materialization_snapshot_default() %}\n\n {% do unset_query_tag(original_query_tag) %}\n\n {{ return(relations) }}\n{% endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.set_query_tag", "macro.dbt.materialization_snapshot_default", "macro.dbt_snowflake.unset_query_tag"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.131582}, "macro.dbt.datediff": {"unique_id": "macro.dbt.datediff", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "name": "datediff", "macro_sql": "{% macro datediff(first_date, second_date, datepart) %}\n {{ return(adapter.dispatch('datediff', 'dbt')(first_date, second_date, datepart)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__datediff"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1341352}, "macro.dbt.default__datediff": {"unique_id": "macro.dbt.default__datediff", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/datediff.sql", "original_file_path": "macros/utils/datediff.sql", "name": "default__datediff", "macro_sql": "{% macro default__datediff(first_date, second_date, datepart) -%}\n\n datediff(\n {{ datepart }},\n {{ first_date }},\n {{ second_date }}\n )\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1349795}, "macro.dbt.cast_bool_to_text": {"unique_id": "macro.dbt.cast_bool_to_text", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "name": "cast_bool_to_text", "macro_sql": "{% macro cast_bool_to_text(field) %}\n {{ adapter.dispatch('cast_bool_to_text', 'dbt') (field) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1366985}, "macro.dbt.default__cast_bool_to_text": {"unique_id": "macro.dbt.default__cast_bool_to_text", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/cast_bool_to_text.sql", "original_file_path": "macros/utils/cast_bool_to_text.sql", "name": "default__cast_bool_to_text", "macro_sql": "{% macro default__cast_bool_to_text(field) %}\n cast({{ field }} as {{ api.Column.translate_type('string') }})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1375828}, "macro.dbt.escape_single_quotes": {"unique_id": "macro.dbt.escape_single_quotes", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "name": "escape_single_quotes", "macro_sql": "{% macro escape_single_quotes(expression) %}\n {{ return(adapter.dispatch('escape_single_quotes', 'dbt') (expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__escape_single_quotes"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1393707}, "macro.dbt.default__escape_single_quotes": {"unique_id": "macro.dbt.default__escape_single_quotes", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/escape_single_quotes.sql", "original_file_path": "macros/utils/escape_single_quotes.sql", "name": "default__escape_single_quotes", "macro_sql": "{% macro default__escape_single_quotes(expression) -%}\n{{ expression | replace(\"'\",\"''\") }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1400585}, "macro.dbt.string_literal": {"unique_id": "macro.dbt.string_literal", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "name": "string_literal", "macro_sql": "{%- macro string_literal(value) -%}\n {{ return(adapter.dispatch('string_literal', 'dbt') (value)) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__string_literal"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1417582}, "macro.dbt.default__string_literal": {"unique_id": "macro.dbt.default__string_literal", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/literal.sql", "original_file_path": "macros/utils/literal.sql", "name": "default__string_literal", "macro_sql": "{% macro default__string_literal(value) -%}\n '{{ value }}'\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.142261}, "macro.dbt.listagg": {"unique_id": "macro.dbt.listagg", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "name": "listagg", "macro_sql": "{% macro listagg(measure, delimiter_text=\"','\", order_by_clause=none, limit_num=none) -%}\n {{ return(adapter.dispatch('listagg', 'dbt') (measure, delimiter_text, order_by_clause, limit_num)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__listagg"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1460629}, "macro.dbt.default__listagg": {"unique_id": "macro.dbt.default__listagg", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/listagg.sql", "original_file_path": "macros/utils/listagg.sql", "name": "default__listagg", "macro_sql": "{% macro default__listagg(measure, delimiter_text, order_by_clause, limit_num) -%}\n\n {% if limit_num -%}\n array_to_string(\n array_slice(\n array_agg(\n {{ measure }}\n ){% if order_by_clause -%}\n within group ({{ order_by_clause }})\n {%- endif %}\n ,0\n ,{{ limit_num }}\n ),\n {{ delimiter_text }}\n )\n {%- else %}\n listagg(\n {{ measure }},\n {{ delimiter_text }}\n )\n {% if order_by_clause -%}\n within group ({{ order_by_clause }})\n {%- endif %}\n {%- endif %}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.148439}, "macro.dbt.replace": {"unique_id": "macro.dbt.replace", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "name": "replace", "macro_sql": "{% macro replace(field, old_chars, new_chars) -%}\n {{ return(adapter.dispatch('replace', 'dbt') (field, old_chars, new_chars)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__replace"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.150552}, "macro.dbt.default__replace": {"unique_id": "macro.dbt.default__replace", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/replace.sql", "original_file_path": "macros/utils/replace.sql", "name": "default__replace", "macro_sql": "{% macro default__replace(field, old_chars, new_chars) %}\n\n replace(\n {{ field }},\n {{ old_chars }},\n {{ new_chars }}\n )\n\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.151362}, "macro.dbt.except": {"unique_id": "macro.dbt.except", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "name": "except", "macro_sql": "{% macro except() %}\n {{ return(adapter.dispatch('except', 'dbt')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__except"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1528523}, "macro.dbt.default__except": {"unique_id": "macro.dbt.default__except", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/except.sql", "original_file_path": "macros/utils/except.sql", "name": "default__except", "macro_sql": "{% macro default__except() %}\n\n except\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1532166}, "macro.dbt.dateadd": {"unique_id": "macro.dbt.dateadd", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "name": "dateadd", "macro_sql": "{% macro dateadd(datepart, interval, from_date_or_timestamp) %}\n {{ return(adapter.dispatch('dateadd', 'dbt')(datepart, interval, from_date_or_timestamp)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1552966}, "macro.dbt.default__dateadd": {"unique_id": "macro.dbt.default__dateadd", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/dateadd.sql", "original_file_path": "macros/utils/dateadd.sql", "name": "default__dateadd", "macro_sql": "{% macro default__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n dateadd(\n {{ datepart }},\n {{ interval }},\n {{ from_date_or_timestamp }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1562848}, "macro.dbt.last_day": {"unique_id": "macro.dbt.last_day", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "name": "last_day", "macro_sql": "{% macro last_day(date, datepart) %}\n {{ return(adapter.dispatch('last_day', 'dbt') (date, datepart)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__last_day"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1583107}, "macro.dbt.default_last_day": {"unique_id": "macro.dbt.default_last_day", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "name": "default_last_day", "macro_sql": "\n\n{%- macro default_last_day(date, datepart) -%}\n cast(\n {{dbt.dateadd('day', '-1',\n dbt.dateadd(datepart, '1', dbt.date_trunc(datepart, date))\n )}}\n as date)\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.dateadd", "macro.dbt_utils.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1595554}, "macro.dbt.default__last_day": {"unique_id": "macro.dbt.default__last_day", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/last_day.sql", "original_file_path": "macros/utils/last_day.sql", "name": "default__last_day", "macro_sql": "{% macro default__last_day(date, datepart) -%}\n {{dbt.default_last_day(date, datepart)}}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1602263}, "macro.dbt.date_trunc": {"unique_id": "macro.dbt.date_trunc", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "name": "date_trunc", "macro_sql": "{% macro date_trunc(datepart, date) -%}\n {{ return(adapter.dispatch('date_trunc', 'dbt') (datepart, date)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1620035}, "macro.dbt.default__date_trunc": {"unique_id": "macro.dbt.default__date_trunc", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/date_trunc.sql", "original_file_path": "macros/utils/date_trunc.sql", "name": "default__date_trunc", "macro_sql": "{% macro default__date_trunc(datepart, date) -%}\n date_trunc('{{datepart}}', {{date}})\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.162611}, "macro.dbt.type_string": {"unique_id": "macro.dbt.type_string", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "type_string", "macro_sql": "\n\n{%- macro type_string() -%}\n {{ return(adapter.dispatch('type_string', 'dbt')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.167545}, "macro.dbt.default__type_string": {"unique_id": "macro.dbt.default__type_string", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "default__type_string", "macro_sql": "{% macro default__type_string() %}\n {{ return(api.Column.translate_type(\"string\")) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1682746}, "macro.dbt.type_timestamp": {"unique_id": "macro.dbt.type_timestamp", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "type_timestamp", "macro_sql": "\n\n{%- macro type_timestamp() -%}\n {{ return(adapter.dispatch('type_timestamp', 'dbt')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1690676}, "macro.dbt.default__type_timestamp": {"unique_id": "macro.dbt.default__type_timestamp", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() %}\n {{ return(api.Column.translate_type(\"timestamp\")) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1698174}, "macro.dbt.type_float": {"unique_id": "macro.dbt.type_float", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "type_float", "macro_sql": "\n\n{%- macro type_float() -%}\n {{ return(adapter.dispatch('type_float', 'dbt')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_float"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1705925}, "macro.dbt.default__type_float": {"unique_id": "macro.dbt.default__type_float", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "default__type_float", "macro_sql": "{% macro default__type_float() %}\n {{ return(api.Column.translate_type(\"float\")) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1713014}, "macro.dbt.type_numeric": {"unique_id": "macro.dbt.type_numeric", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "type_numeric", "macro_sql": "\n\n{%- macro type_numeric() -%}\n {{ return(adapter.dispatch('type_numeric', 'dbt')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1720786}, "macro.dbt.default__type_numeric": {"unique_id": "macro.dbt.default__type_numeric", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "default__type_numeric", "macro_sql": "{% macro default__type_numeric() %}\n {{ return(api.Column.numeric_type(\"numeric\", 28, 6)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1729202}, "macro.dbt.type_bigint": {"unique_id": "macro.dbt.type_bigint", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "type_bigint", "macro_sql": "\n\n{%- macro type_bigint() -%}\n {{ return(adapter.dispatch('type_bigint', 'dbt')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1736953}, "macro.dbt.default__type_bigint": {"unique_id": "macro.dbt.default__type_bigint", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "default__type_bigint", "macro_sql": "{% macro default__type_bigint() %}\n {{ return(api.Column.translate_type(\"bigint\")) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1743999}, "macro.dbt.type_int": {"unique_id": "macro.dbt.type_int", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "type_int", "macro_sql": "\n\n{%- macro type_int() -%}\n {{ return(adapter.dispatch('type_int', 'dbt')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_int"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1751342}, "macro.dbt.default__type_int": {"unique_id": "macro.dbt.default__type_int", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/data_types.sql", "original_file_path": "macros/utils/data_types.sql", "name": "default__type_int", "macro_sql": "{%- macro default__type_int() -%}\n {{ return(api.Column.translate_type(\"integer\")) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.175809}, "macro.dbt.split_part": {"unique_id": "macro.dbt.split_part", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "name": "split_part", "macro_sql": "{% macro split_part(string_text, delimiter_text, part_number) %}\n {{ return(adapter.dispatch('split_part', 'dbt') (string_text, delimiter_text, part_number)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__split_part"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1788547}, "macro.dbt.default__split_part": {"unique_id": "macro.dbt.default__split_part", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "name": "default__split_part", "macro_sql": "{% macro default__split_part(string_text, delimiter_text, part_number) %}\n\n split_part(\n {{ string_text }},\n {{ delimiter_text }},\n {{ part_number }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.179765}, "macro.dbt._split_part_negative": {"unique_id": "macro.dbt._split_part_negative", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/split_part.sql", "original_file_path": "macros/utils/split_part.sql", "name": "_split_part_negative", "macro_sql": "{% macro _split_part_negative(string_text, delimiter_text, part_number) %}\n\n split_part(\n {{ string_text }},\n {{ delimiter_text }},\n length({{ string_text }})\n - length(\n replace({{ string_text }}, {{ delimiter_text }}, '')\n ) + 2 {{ part_number }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1808496}, "macro.dbt.any_value": {"unique_id": "macro.dbt.any_value", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "name": "any_value", "macro_sql": "{% macro any_value(expression) -%}\n {{ return(adapter.dispatch('any_value', 'dbt') (expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__any_value"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1824656}, "macro.dbt.default__any_value": {"unique_id": "macro.dbt.default__any_value", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/any_value.sql", "original_file_path": "macros/utils/any_value.sql", "name": "default__any_value", "macro_sql": "{% macro default__any_value(expression) -%}\n\n any_value({{ expression }})\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1829352}, "macro.dbt.intersect": {"unique_id": "macro.dbt.intersect", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "name": "intersect", "macro_sql": "{% macro intersect() %}\n {{ return(adapter.dispatch('intersect', 'dbt')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__intersect"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1846557}, "macro.dbt.default__intersect": {"unique_id": "macro.dbt.default__intersect", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/intersect.sql", "original_file_path": "macros/utils/intersect.sql", "name": "default__intersect", "macro_sql": "{% macro default__intersect() %}\n\n intersect\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.184992}, "macro.dbt.right": {"unique_id": "macro.dbt.right", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "name": "right", "macro_sql": "{% macro right(string_text, length_expression) -%}\n {{ return(adapter.dispatch('right', 'dbt') (string_text, length_expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__right"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1868517}, "macro.dbt.default__right": {"unique_id": "macro.dbt.default__right", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/right.sql", "original_file_path": "macros/utils/right.sql", "name": "default__right", "macro_sql": "{% macro default__right(string_text, length_expression) %}\n\n right(\n {{ string_text }},\n {{ length_expression }}\n )\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1875231}, "macro.dbt.safe_cast": {"unique_id": "macro.dbt.safe_cast", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "name": "safe_cast", "macro_sql": "{% macro safe_cast(field, type) %}\n {{ return(adapter.dispatch('safe_cast', 'dbt') (field, type)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__safe_cast"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1892984}, "macro.dbt.default__safe_cast": {"unique_id": "macro.dbt.default__safe_cast", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/safe_cast.sql", "original_file_path": "macros/utils/safe_cast.sql", "name": "default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n {# most databases don't support this function yet\n so we just need to use cast #}\n cast({{field}} as {{type}})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1899633}, "macro.dbt.length": {"unique_id": "macro.dbt.length", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "name": "length", "macro_sql": "{% macro length(expression) -%}\n {{ return(adapter.dispatch('length', 'dbt') (expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__length"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1915452}, "macro.dbt.default__length": {"unique_id": "macro.dbt.default__length", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/length.sql", "original_file_path": "macros/utils/length.sql", "name": "default__length", "macro_sql": "{% macro default__length(expression) %}\n\n length(\n {{ expression }}\n )\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.192022}, "macro.dbt.hash": {"unique_id": "macro.dbt.hash", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "name": "hash", "macro_sql": "{% macro hash(field) -%}\n {{ return(adapter.dispatch('hash', 'dbt') (field)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.193703}, "macro.dbt.default__hash": {"unique_id": "macro.dbt.default__hash", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/hash.sql", "original_file_path": "macros/utils/hash.sql", "name": "default__hash", "macro_sql": "{% macro default__hash(field) -%}\n md5(cast({{ field }} as {{ api.Column.translate_type('string') }}))\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.194433}, "macro.dbt.concat": {"unique_id": "macro.dbt.concat", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "name": "concat", "macro_sql": "{% macro concat(fields) -%}\n {{ return(adapter.dispatch('concat', 'dbt')(fields)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__concat"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1960285}, "macro.dbt.default__concat": {"unique_id": "macro.dbt.default__concat", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/concat.sql", "original_file_path": "macros/utils/concat.sql", "name": "default__concat", "macro_sql": "{% macro default__concat(fields) -%}\n {{ fields|join(' || ') }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.196626}, "macro.dbt.position": {"unique_id": "macro.dbt.position", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "name": "position", "macro_sql": "{% macro position(substring_text, string_text) -%}\n {{ return(adapter.dispatch('position', 'dbt') (substring_text, string_text)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__position"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.1983893}, "macro.dbt.default__position": {"unique_id": "macro.dbt.default__position", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/position.sql", "original_file_path": "macros/utils/position.sql", "name": "default__position", "macro_sql": "{% macro default__position(substring_text, string_text) %}\n\n position(\n {{ substring_text }} in {{ string_text }}\n )\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.199053}, "macro.dbt.bool_or": {"unique_id": "macro.dbt.bool_or", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "name": "bool_or", "macro_sql": "{% macro bool_or(expression) -%}\n {{ return(adapter.dispatch('bool_or', 'dbt') (expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__bool_or"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2006083}, "macro.dbt.default__bool_or": {"unique_id": "macro.dbt.default__bool_or", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/utils/bool_or.sql", "original_file_path": "macros/utils/bool_or.sql", "name": "default__bool_or", "macro_sql": "{% macro default__bool_or(expression) -%}\n\n bool_or({{ expression }})\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.201043}, "macro.dbt.statement": {"unique_id": "macro.dbt.statement", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "name": "statement", "macro_sql": "{% macro statement(name=None, fetch_result=False, auto_begin=True) -%}\n {%- if execute: -%}\n {%- set sql = caller() -%}\n\n {%- if name == 'main' -%}\n {{ log('Writing runtime SQL for node \"{}\"'.format(model['unique_id'])) }}\n {{ write(sql) }}\n {%- endif -%}\n\n {%- set res, table = adapter.execute(sql, auto_begin=auto_begin, fetch=fetch_result) -%}\n {%- if name is not none -%}\n {{ store_result(name, response=res, agate_table=table) }}\n {%- endif -%}\n\n {%- endif -%}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.207012}, "macro.dbt.noop_statement": {"unique_id": "macro.dbt.noop_statement", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "name": "noop_statement", "macro_sql": "{% macro noop_statement(name=None, message=None, code=None, rows_affected=None, res=None) -%}\n {%- set sql = caller() -%}\n\n {%- if name == 'main' -%}\n {{ log('Writing runtime SQL for node \"{}\"'.format(model['unique_id'])) }}\n {{ write(sql) }}\n {%- endif -%}\n\n {%- if name is not none -%}\n {{ store_raw_result(name, message=message, code=code, rows_affected=rows_affected, agate_table=res) }}\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2098596}, "macro.dbt.run_query": {"unique_id": "macro.dbt.run_query", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/statement.sql", "original_file_path": "macros/etc/statement.sql", "name": "run_query", "macro_sql": "{% macro run_query(sql) %}\n {% call statement(\"run_query_statement\", fetch_result=true, auto_begin=false) %}\n {{ sql }}\n {% endcall %}\n\n {% do return(load_result(\"run_query_statement\").table) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.211237}, "macro.dbt.convert_datetime": {"unique_id": "macro.dbt.convert_datetime", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "name": "convert_datetime", "macro_sql": "{% macro convert_datetime(date_str, date_fmt) %}\n\n {% set error_msg -%}\n The provided partition date '{{ date_str }}' does not match the expected format '{{ date_fmt }}'\n {%- endset %}\n\n {% set res = try_or_compiler_error(error_msg, modules.datetime.datetime.strptime, date_str.strip(), date_fmt) %}\n {{ return(res) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.220477}, "macro.dbt.dates_in_range": {"unique_id": "macro.dbt.dates_in_range", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "name": "dates_in_range", "macro_sql": "{% macro dates_in_range(start_date_str, end_date_str=none, in_fmt=\"%Y%m%d\", out_fmt=\"%Y%m%d\") %}\n {% set end_date_str = start_date_str if end_date_str is none else end_date_str %}\n\n {% set start_date = convert_datetime(start_date_str, in_fmt) %}\n {% set end_date = convert_datetime(end_date_str, in_fmt) %}\n\n {% set day_count = (end_date - start_date).days %}\n {% if day_count < 0 %}\n {% set msg -%}\n Partiton start date is after the end date ({{ start_date }}, {{ end_date }})\n {%- endset %}\n\n {{ exceptions.raise_compiler_error(msg, model) }}\n {% endif %}\n\n {% set date_list = [] %}\n {% for i in range(0, day_count + 1) %}\n {% set the_date = (modules.datetime.timedelta(days=i) + start_date) %}\n {% if not out_fmt %}\n {% set _ = date_list.append(the_date) %}\n {% else %}\n {% set _ = date_list.append(the_date.strftime(out_fmt)) %}\n {% endif %}\n {% endfor %}\n\n {{ return(date_list) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.convert_datetime"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2266436}, "macro.dbt.partition_range": {"unique_id": "macro.dbt.partition_range", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "name": "partition_range", "macro_sql": "{% macro partition_range(raw_partition_date, date_fmt='%Y%m%d') %}\n {% set partition_range = (raw_partition_date | string).split(\",\") %}\n\n {% if (partition_range | length) == 1 %}\n {% set start_date = partition_range[0] %}\n {% set end_date = none %}\n {% elif (partition_range | length) == 2 %}\n {% set start_date = partition_range[0] %}\n {% set end_date = partition_range[1] %}\n {% else %}\n {{ exceptions.raise_compiler_error(\"Invalid partition time. Expected format: {Start Date}[,{End Date}]. Got: \" ~ raw_partition_date) }}\n {% endif %}\n\n {{ return(dates_in_range(start_date, end_date, in_fmt=date_fmt)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.dates_in_range"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2297204}, "macro.dbt.py_current_timestring": {"unique_id": "macro.dbt.py_current_timestring", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/etc/datetime.sql", "original_file_path": "macros/etc/datetime.sql", "name": "py_current_timestring", "macro_sql": "{% macro py_current_timestring() %}\n {% set dt = modules.datetime.datetime.now() %}\n {% do return(dt.strftime(\"%Y%m%d%H%M%S%f\")) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2304018}, "macro.dbt.default__test_relationships": {"unique_id": "macro.dbt.default__test_relationships", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/generic_test_sql/relationships.sql", "original_file_path": "macros/generic_test_sql/relationships.sql", "name": "default__test_relationships", "macro_sql": "{% macro default__test_relationships(model, column_name, to, field) %}\n\nwith child as (\n select {{ column_name }} as from_field\n from {{ model }}\n where {{ column_name }} is not null\n),\n\nparent as (\n select {{ field }} as to_field\n from {{ to }}\n)\n\nselect\n from_field\n\nfrom child\nleft join parent\n on child.from_field = parent.to_field\n\nwhere parent.to_field is null\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.231429}, "macro.dbt.default__test_accepted_values": {"unique_id": "macro.dbt.default__test_accepted_values", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/generic_test_sql/accepted_values.sql", "original_file_path": "macros/generic_test_sql/accepted_values.sql", "name": "default__test_accepted_values", "macro_sql": "{% macro default__test_accepted_values(model, column_name, values, quote=True) %}\n\nwith all_values as (\n\n select\n {{ column_name }} as value_field,\n count(*) as n_records\n\n from {{ model }}\n group by {{ column_name }}\n\n)\n\nselect *\nfrom all_values\nwhere value_field not in (\n {% for value in values -%}\n {% if quote -%}\n '{{ value }}'\n {%- else -%}\n {{ value }}\n {%- endif -%}\n {%- if not loop.last -%},{%- endif %}\n {%- endfor %}\n)\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2339673}, "macro.dbt.default__test_unique": {"unique_id": "macro.dbt.default__test_unique", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/generic_test_sql/unique.sql", "original_file_path": "macros/generic_test_sql/unique.sql", "name": "default__test_unique", "macro_sql": "{% macro default__test_unique(model, column_name) %}\n\nselect\n {{ column_name }} as unique_field,\n count(*) as n_records\n\nfrom {{ model }}\nwhere {{ column_name }} is not null\ngroup by {{ column_name }}\nhaving count(*) > 1\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2356951}, "macro.dbt.default__test_not_null": {"unique_id": "macro.dbt.default__test_not_null", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/generic_test_sql/not_null.sql", "original_file_path": "macros/generic_test_sql/not_null.sql", "name": "default__test_not_null", "macro_sql": "{% macro default__test_not_null(model, column_name) %}\n\n{% set column_list = '*' if should_store_failures() else column_name %}\n\nselect {{ column_list }}\nfrom {{ model }}\nwhere {{ column_name }} is null\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.should_store_failures"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2376509}, "macro.dbt.get_create_index_sql": {"unique_id": "macro.dbt.get_create_index_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "name": "get_create_index_sql", "macro_sql": "{% macro get_create_index_sql(relation, index_dict) -%}\n {{ return(adapter.dispatch('get_create_index_sql', 'dbt')(relation, index_dict)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_create_index_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2403936}, "macro.dbt.default__get_create_index_sql": {"unique_id": "macro.dbt.default__get_create_index_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "name": "default__get_create_index_sql", "macro_sql": "{% macro default__get_create_index_sql(relation, index_dict) -%}\n {% do return(None) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2410548}, "macro.dbt.create_indexes": {"unique_id": "macro.dbt.create_indexes", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "name": "create_indexes", "macro_sql": "{% macro create_indexes(relation) -%}\n {{ adapter.dispatch('create_indexes', 'dbt')(relation) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2418277}, "macro.dbt.default__create_indexes": {"unique_id": "macro.dbt.default__create_indexes", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/indexes.sql", "original_file_path": "macros/adapters/indexes.sql", "name": "default__create_indexes", "macro_sql": "{% macro default__create_indexes(relation) -%}\n {%- set _indexes = config.get('indexes', default=[]) -%}\n\n {% for _index_dict in _indexes %}\n {% set create_index_sql = get_create_index_sql(relation, _index_dict) %}\n {% if create_index_sql %}\n {% do run_query(create_index_sql) %}\n {% endif %}\n {% endfor %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_create_index_sql", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.24375}, "macro.dbt.current_timestamp": {"unique_id": "macro.dbt.current_timestamp", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "name": "current_timestamp", "macro_sql": "{% macro current_timestamp() -%}\n {{ adapter.dispatch('current_timestamp', 'dbt')() }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.246512}, "macro.dbt.default__current_timestamp": {"unique_id": "macro.dbt.default__current_timestamp", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "name": "default__current_timestamp", "macro_sql": "{% macro default__current_timestamp() -%}\n {{ exceptions.raise_not_implemented(\n 'current_timestamp macro not implemented for adapter '+adapter.type()) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2471948}, "macro.dbt.collect_freshness": {"unique_id": "macro.dbt.collect_freshness", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "name": "collect_freshness", "macro_sql": "{% macro collect_freshness(source, loaded_at_field, filter) %}\n {{ return(adapter.dispatch('collect_freshness', 'dbt')(source, loaded_at_field, filter))}}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__collect_freshness"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2482853}, "macro.dbt.default__collect_freshness": {"unique_id": "macro.dbt.default__collect_freshness", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/freshness.sql", "original_file_path": "macros/adapters/freshness.sql", "name": "default__collect_freshness", "macro_sql": "{% macro default__collect_freshness(source, loaded_at_field, filter) %}\n {% call statement('collect_freshness', fetch_result=True, auto_begin=False) -%}\n select\n max({{ loaded_at_field }}) as max_loaded_at,\n {{ current_timestamp() }} as snapshotted_at\n from {{ source }}\n {% if filter %}\n where {{ filter }}\n {% endif %}\n {% endcall %}\n {{ return(load_result('collect_freshness').table) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2504761}, "macro.dbt.get_catalog": {"unique_id": "macro.dbt.get_catalog", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "get_catalog", "macro_sql": "{% macro get_catalog(information_schema, schemas) -%}\n {{ return(adapter.dispatch('get_catalog', 'dbt')(information_schema, schemas)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__get_catalog"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2584414}, "macro.dbt.default__get_catalog": {"unique_id": "macro.dbt.default__get_catalog", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "default__get_catalog", "macro_sql": "{% macro default__get_catalog(information_schema, schemas) -%}\n\n {% set typename = adapter.type() %}\n {% set msg -%}\n get_catalog not implemented for {{ typename }}\n {%- endset %}\n\n {{ exceptions.raise_compiler_error(msg) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2597675}, "macro.dbt.information_schema_name": {"unique_id": "macro.dbt.information_schema_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "information_schema_name", "macro_sql": "{% macro information_schema_name(database) %}\n {{ return(adapter.dispatch('information_schema_name', 'dbt')(database)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__information_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2606926}, "macro.dbt.default__information_schema_name": {"unique_id": "macro.dbt.default__information_schema_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "default__information_schema_name", "macro_sql": "{% macro default__information_schema_name(database) -%}\n {%- if database -%}\n {{ database }}.INFORMATION_SCHEMA\n {%- else -%}\n INFORMATION_SCHEMA\n {%- endif -%}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2618318}, "macro.dbt.list_schemas": {"unique_id": "macro.dbt.list_schemas", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "list_schemas", "macro_sql": "{% macro list_schemas(database) -%}\n {{ return(adapter.dispatch('list_schemas', 'dbt')(database)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__list_schemas"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2627819}, "macro.dbt.default__list_schemas": {"unique_id": "macro.dbt.default__list_schemas", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "default__list_schemas", "macro_sql": "{% macro default__list_schemas(database) -%}\n {% set sql %}\n select distinct schema_name\n from {{ information_schema_name(database) }}.SCHEMATA\n where catalog_name ilike '{{ database }}'\n {% endset %}\n {{ return(run_query(sql)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.information_schema_name", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2641613}, "macro.dbt.check_schema_exists": {"unique_id": "macro.dbt.check_schema_exists", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "check_schema_exists", "macro_sql": "{% macro check_schema_exists(information_schema, schema) -%}\n {{ return(adapter.dispatch('check_schema_exists', 'dbt')(information_schema, schema)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__check_schema_exists"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2652245}, "macro.dbt.default__check_schema_exists": {"unique_id": "macro.dbt.default__check_schema_exists", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "default__check_schema_exists", "macro_sql": "{% macro default__check_schema_exists(information_schema, schema) -%}\n {% set sql -%}\n select count(*)\n from {{ information_schema.replace(information_schema_view='SCHEMATA') }}\n where catalog_name='{{ information_schema.database }}'\n and schema_name='{{ schema }}'\n {%- endset %}\n {{ return(run_query(sql)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.replace", "macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.266988}, "macro.dbt.list_relations_without_caching": {"unique_id": "macro.dbt.list_relations_without_caching", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "list_relations_without_caching", "macro_sql": "{% macro list_relations_without_caching(schema_relation) %}\n {{ return(adapter.dispatch('list_relations_without_caching', 'dbt')(schema_relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__list_relations_without_caching"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.267906}, "macro.dbt.default__list_relations_without_caching": {"unique_id": "macro.dbt.default__list_relations_without_caching", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/metadata.sql", "original_file_path": "macros/adapters/metadata.sql", "name": "default__list_relations_without_caching", "macro_sql": "{% macro default__list_relations_without_caching(schema_relation) %}\n {{ exceptions.raise_not_implemented(\n 'list_relations_without_caching macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2686863}, "macro.dbt.make_intermediate_relation": {"unique_id": "macro.dbt.make_intermediate_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "make_intermediate_relation", "macro_sql": "{% macro make_intermediate_relation(base_relation, suffix='__dbt_tmp') %}\n {{ return(adapter.dispatch('make_intermediate_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__make_intermediate_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.286119}, "macro.dbt.default__make_intermediate_relation": {"unique_id": "macro.dbt.default__make_intermediate_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__make_intermediate_relation", "macro_sql": "{% macro default__make_intermediate_relation(base_relation, suffix) %}\n {{ return(default__make_temp_relation(base_relation, suffix)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2871127}, "macro.dbt.make_temp_relation": {"unique_id": "macro.dbt.make_temp_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "make_temp_relation", "macro_sql": "{% macro make_temp_relation(base_relation, suffix='__dbt_tmp') %}\n {{ return(adapter.dispatch('make_temp_relation', 'dbt')(base_relation, suffix)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__make_temp_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2882257}, "macro.dbt.default__make_temp_relation": {"unique_id": "macro.dbt.default__make_temp_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__make_temp_relation", "macro_sql": "{% macro default__make_temp_relation(base_relation, suffix) %}\n {%- set temp_identifier = base_relation.identifier ~ suffix -%}\n {%- set temp_relation = base_relation.incorporate(\n path={\"identifier\": temp_identifier}) -%}\n\n {{ return(temp_relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2897434}, "macro.dbt.make_backup_relation": {"unique_id": "macro.dbt.make_backup_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "make_backup_relation", "macro_sql": "{% macro make_backup_relation(base_relation, backup_relation_type, suffix='__dbt_backup') %}\n {{ return(adapter.dispatch('make_backup_relation', 'dbt')(base_relation, backup_relation_type, suffix)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__make_backup_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2910054}, "macro.dbt.default__make_backup_relation": {"unique_id": "macro.dbt.default__make_backup_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__make_backup_relation", "macro_sql": "{% macro default__make_backup_relation(base_relation, backup_relation_type, suffix) %}\n {%- set backup_identifier = base_relation.identifier ~ suffix -%}\n {%- set backup_relation = base_relation.incorporate(\n path={\"identifier\": backup_identifier},\n type=backup_relation_type\n ) -%}\n {{ return(backup_relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2928076}, "macro.dbt.drop_relation": {"unique_id": "macro.dbt.drop_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "drop_relation", "macro_sql": "{% macro drop_relation(relation) -%}\n {{ return(adapter.dispatch('drop_relation', 'dbt')(relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__drop_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2938325}, "macro.dbt.default__drop_relation": {"unique_id": "macro.dbt.default__drop_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__drop_relation", "macro_sql": "{% macro default__drop_relation(relation) -%}\n {% call statement('drop_relation', auto_begin=False) -%}\n drop {{ relation.type }} if exists {{ relation }} cascade\n {%- endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2950695}, "macro.dbt.truncate_relation": {"unique_id": "macro.dbt.truncate_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "truncate_relation", "macro_sql": "{% macro truncate_relation(relation) -%}\n {{ return(adapter.dispatch('truncate_relation', 'dbt')(relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__truncate_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2959971}, "macro.dbt.default__truncate_relation": {"unique_id": "macro.dbt.default__truncate_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__truncate_relation", "macro_sql": "{% macro default__truncate_relation(relation) -%}\n {% call statement('truncate_relation') -%}\n truncate table {{ relation }}\n {%- endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.296857}, "macro.dbt.rename_relation": {"unique_id": "macro.dbt.rename_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "rename_relation", "macro_sql": "{% macro rename_relation(from_relation, to_relation) -%}\n {{ return(adapter.dispatch('rename_relation', 'dbt')(from_relation, to_relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__rename_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.297919}, "macro.dbt.default__rename_relation": {"unique_id": "macro.dbt.default__rename_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__rename_relation", "macro_sql": "{% macro default__rename_relation(from_relation, to_relation) -%}\n {% set target_name = adapter.quote_as_configured(to_relation.identifier, 'identifier') %}\n {% call statement('rename_relation') -%}\n alter table {{ from_relation }} rename to {{ target_name }}\n {%- endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.2994447}, "macro.dbt.get_or_create_relation": {"unique_id": "macro.dbt.get_or_create_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "get_or_create_relation", "macro_sql": "{% macro get_or_create_relation(database, schema, identifier, type) -%}\n {{ return(adapter.dispatch('get_or_create_relation', 'dbt')(database, schema, identifier, type)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_or_create_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.30077}, "macro.dbt.default__get_or_create_relation": {"unique_id": "macro.dbt.default__get_or_create_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "default__get_or_create_relation", "macro_sql": "{% macro default__get_or_create_relation(database, schema, identifier, type) %}\n {%- set target_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n\n {% if target_relation %}\n {% do return([true, target_relation]) %}\n {% endif %}\n\n {%- set new_relation = api.Relation.create(\n database=database,\n schema=schema,\n identifier=identifier,\n type=type\n ) -%}\n {% do return([false, new_relation]) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3039174}, "macro.dbt.load_cached_relation": {"unique_id": "macro.dbt.load_cached_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "load_cached_relation", "macro_sql": "{% macro load_cached_relation(relation) %}\n {% do return(adapter.get_relation(\n database=relation.database,\n schema=relation.schema,\n identifier=relation.identifier\n )) -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.305286}, "macro.dbt.load_relation": {"unique_id": "macro.dbt.load_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "load_relation", "macro_sql": "{% macro load_relation(relation) %}\n {{ return(load_cached_relation(relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.load_cached_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3062108}, "macro.dbt.drop_relation_if_exists": {"unique_id": "macro.dbt.drop_relation_if_exists", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/relation.sql", "original_file_path": "macros/adapters/relation.sql", "name": "drop_relation_if_exists", "macro_sql": "{% macro drop_relation_if_exists(relation) %}\n {% if relation is not none %}\n {{ adapter.drop_relation(relation) }}\n {% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3073235}, "macro.dbt.create_schema": {"unique_id": "macro.dbt.create_schema", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "name": "create_schema", "macro_sql": "{% macro create_schema(relation) -%}\n {{ adapter.dispatch('create_schema', 'dbt')(relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__create_schema"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3098404}, "macro.dbt.default__create_schema": {"unique_id": "macro.dbt.default__create_schema", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "name": "default__create_schema", "macro_sql": "{% macro default__create_schema(relation) -%}\n {%- call statement('create_schema') -%}\n create schema if not exists {{ relation.without_identifier() }}\n {% endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3108554}, "macro.dbt.drop_schema": {"unique_id": "macro.dbt.drop_schema", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "name": "drop_schema", "macro_sql": "{% macro drop_schema(relation) -%}\n {{ adapter.dispatch('drop_schema', 'dbt')(relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__drop_schema"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3117917}, "macro.dbt.default__drop_schema": {"unique_id": "macro.dbt.default__drop_schema", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/schema.sql", "original_file_path": "macros/adapters/schema.sql", "name": "default__drop_schema", "macro_sql": "{% macro default__drop_schema(relation) -%}\n {%- call statement('drop_schema') -%}\n drop schema if exists {{ relation.without_identifier() }} cascade\n {% endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.312913}, "macro.dbt.alter_column_comment": {"unique_id": "macro.dbt.alter_column_comment", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "name": "alter_column_comment", "macro_sql": "{% macro alter_column_comment(relation, column_dict) -%}\n {{ return(adapter.dispatch('alter_column_comment', 'dbt')(relation, column_dict)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.316775}, "macro.dbt.default__alter_column_comment": {"unique_id": "macro.dbt.default__alter_column_comment", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "name": "default__alter_column_comment", "macro_sql": "{% macro default__alter_column_comment(relation, column_dict) -%}\n {{ exceptions.raise_not_implemented(\n 'alter_column_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.317799}, "macro.dbt.alter_relation_comment": {"unique_id": "macro.dbt.alter_relation_comment", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "name": "alter_relation_comment", "macro_sql": "{% macro alter_relation_comment(relation, relation_comment) -%}\n {{ return(adapter.dispatch('alter_relation_comment', 'dbt')(relation, relation_comment)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__alter_relation_comment"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.318915}, "macro.dbt.default__alter_relation_comment": {"unique_id": "macro.dbt.default__alter_relation_comment", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "name": "default__alter_relation_comment", "macro_sql": "{% macro default__alter_relation_comment(relation, relation_comment) -%}\n {{ exceptions.raise_not_implemented(\n 'alter_relation_comment macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.319887}, "macro.dbt.persist_docs": {"unique_id": "macro.dbt.persist_docs", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "name": "persist_docs", "macro_sql": "{% macro persist_docs(relation, model, for_relation=true, for_columns=true) -%}\n {{ return(adapter.dispatch('persist_docs', 'dbt')(relation, model, for_relation, for_columns)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3214498}, "macro.dbt.default__persist_docs": {"unique_id": "macro.dbt.default__persist_docs", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/persist_docs.sql", "original_file_path": "macros/adapters/persist_docs.sql", "name": "default__persist_docs", "macro_sql": "{% macro default__persist_docs(relation, model, for_relation, for_columns) -%}\n {% if for_relation and config.persist_relation_docs() and model.description %}\n {% do run_query(alter_relation_comment(relation, model.description)) %}\n {% endif %}\n\n {% if for_columns and config.persist_column_docs() and model.columns %}\n {% do run_query(alter_column_comment(relation, model.columns)) %}\n {% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.alter_relation_comment", "macro.dbt.alter_column_comment"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3239634}, "macro.dbt.copy_grants": {"unique_id": "macro.dbt.copy_grants", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "copy_grants", "macro_sql": "{% macro copy_grants() %}\n {{ return(adapter.dispatch('copy_grants', 'dbt')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3318503}, "macro.dbt.default__copy_grants": {"unique_id": "macro.dbt.default__copy_grants", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__copy_grants", "macro_sql": "{% macro default__copy_grants() %}\n {{ return(True) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.333222}, "macro.dbt.support_multiple_grantees_per_dcl_statement": {"unique_id": "macro.dbt.support_multiple_grantees_per_dcl_statement", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "support_multiple_grantees_per_dcl_statement", "macro_sql": "{% macro support_multiple_grantees_per_dcl_statement() %}\n {{ return(adapter.dispatch('support_multiple_grantees_per_dcl_statement', 'dbt')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3342645}, "macro.dbt.default__support_multiple_grantees_per_dcl_statement": {"unique_id": "macro.dbt.default__support_multiple_grantees_per_dcl_statement", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__support_multiple_grantees_per_dcl_statement", "macro_sql": "\n\n{%- macro default__support_multiple_grantees_per_dcl_statement() -%}\n {{ return(True) }}\n{%- endmacro -%}\n\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3349447}, "macro.dbt.should_revoke": {"unique_id": "macro.dbt.should_revoke", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "should_revoke", "macro_sql": "{% macro should_revoke(existing_relation, full_refresh_mode=True) %}\n\n {% if not existing_relation %}\n {#-- The table doesn't already exist, so no grants to copy over --#}\n {{ return(False) }}\n {% elif full_refresh_mode %}\n {#-- The object is being REPLACED -- whether grants are copied over depends on the value of user config --#}\n {{ return(copy_grants()) }}\n {% else %}\n {#-- The table is being merged/upserted/inserted -- grants will be carried over --#}\n {{ return(True) }}\n {% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.copy_grants"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3370054}, "macro.dbt.get_show_grant_sql": {"unique_id": "macro.dbt.get_show_grant_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "get_show_grant_sql", "macro_sql": "{% macro get_show_grant_sql(relation) %}\n {{ return(adapter.dispatch(\"get_show_grant_sql\", \"dbt\")(relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_show_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3381834}, "macro.dbt.default__get_show_grant_sql": {"unique_id": "macro.dbt.default__get_show_grant_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__get_show_grant_sql", "macro_sql": "{% macro default__get_show_grant_sql(relation) %}\n show grants on {{ relation }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.338837}, "macro.dbt.get_grant_sql": {"unique_id": "macro.dbt.get_grant_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "get_grant_sql", "macro_sql": "{% macro get_grant_sql(relation, privilege, grantees) %}\n {{ return(adapter.dispatch('get_grant_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_grant_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3402545}, "macro.dbt.default__get_grant_sql": {"unique_id": "macro.dbt.default__get_grant_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__get_grant_sql", "macro_sql": "\n\n{%- macro default__get_grant_sql(relation, privilege, grantees) -%}\n grant {{ privilege }} on {{ relation }} to {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.341374}, "macro.dbt.get_revoke_sql": {"unique_id": "macro.dbt.get_revoke_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "get_revoke_sql", "macro_sql": "{% macro get_revoke_sql(relation, privilege, grantees) %}\n {{ return(adapter.dispatch('get_revoke_sql', 'dbt')(relation, privilege, grantees)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_revoke_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3427312}, "macro.dbt.default__get_revoke_sql": {"unique_id": "macro.dbt.default__get_revoke_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__get_revoke_sql", "macro_sql": "\n\n{%- macro default__get_revoke_sql(relation, privilege, grantees) -%}\n revoke {{ privilege }} on {{ relation }} from {{ grantees | join(', ') }}\n{%- endmacro -%}\n\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3438585}, "macro.dbt.get_dcl_statement_list": {"unique_id": "macro.dbt.get_dcl_statement_list", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "get_dcl_statement_list", "macro_sql": "{% macro get_dcl_statement_list(relation, grant_config, get_dcl_macro) %}\n {{ return(adapter.dispatch('get_dcl_statement_list', 'dbt')(relation, grant_config, get_dcl_macro)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_dcl_statement_list"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3452682}, "macro.dbt.default__get_dcl_statement_list": {"unique_id": "macro.dbt.default__get_dcl_statement_list", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__get_dcl_statement_list", "macro_sql": "\n\n{%- macro default__get_dcl_statement_list(relation, grant_config, get_dcl_macro) -%}\n {#\n -- Unpack grant_config into specific privileges and the set of users who need them granted/revoked.\n -- Depending on whether this database supports multiple grantees per statement, pass in the list of\n -- all grantees per privilege, or (if not) template one statement per privilege-grantee pair.\n -- `get_dcl_macro` will be either `get_grant_sql` or `get_revoke_sql`\n #}\n {%- set dcl_statements = [] -%}\n {%- for privilege, grantees in grant_config.items() %}\n {%- if support_multiple_grantees_per_dcl_statement() and grantees -%}\n {%- set dcl = get_dcl_macro(relation, privilege, grantees) -%}\n {%- do dcl_statements.append(dcl) -%}\n {%- else -%}\n {%- for grantee in grantees -%}\n {% set dcl = get_dcl_macro(relation, privilege, [grantee]) %}\n {%- do dcl_statements.append(dcl) -%}\n {% endfor -%}\n {%- endif -%}\n {%- endfor -%}\n {{ return(dcl_statements) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.support_multiple_grantees_per_dcl_statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3494322}, "macro.dbt.call_dcl_statements": {"unique_id": "macro.dbt.call_dcl_statements", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "call_dcl_statements", "macro_sql": "{% macro call_dcl_statements(dcl_statement_list) %}\n {{ return(adapter.dispatch(\"call_dcl_statements\", \"dbt\")(dcl_statement_list)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3505597}, "macro.dbt.default__call_dcl_statements": {"unique_id": "macro.dbt.default__call_dcl_statements", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__call_dcl_statements", "macro_sql": "{% macro default__call_dcl_statements(dcl_statement_list) %}\n {#\n -- By default, supply all grant + revoke statements in a single semicolon-separated block,\n -- so that they're all processed together.\n\n -- Some databases do not support this. Those adapters will need to override this macro\n -- to run each statement individually.\n #}\n {% call statement('grants') %}\n {% for dcl_statement in dcl_statement_list %}\n {{ dcl_statement }};\n {% endfor %}\n {% endcall %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3519535}, "macro.dbt.apply_grants": {"unique_id": "macro.dbt.apply_grants", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "apply_grants", "macro_sql": "{% macro apply_grants(relation, grant_config, should_revoke) %}\n {{ return(adapter.dispatch(\"apply_grants\", \"dbt\")(relation, grant_config, should_revoke)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3533053}, "macro.dbt.default__apply_grants": {"unique_id": "macro.dbt.default__apply_grants", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/apply_grants.sql", "original_file_path": "macros/adapters/apply_grants.sql", "name": "default__apply_grants", "macro_sql": "{% macro default__apply_grants(relation, grant_config, should_revoke=True) %}\n {#-- If grant_config is {} or None, this is a no-op --#}\n {% if grant_config %}\n {% if should_revoke %}\n {#-- We think previous grants may have carried over --#}\n {#-- Show current grants and calculate diffs --#}\n {% set current_grants_table = run_query(get_show_grant_sql(relation)) %}\n {% set current_grants_dict = adapter.standardize_grants_dict(current_grants_table) %}\n {% set needs_granting = diff_of_two_dicts(grant_config, current_grants_dict) %}\n {% set needs_revoking = diff_of_two_dicts(current_grants_dict, grant_config) %}\n {% if not (needs_granting or needs_revoking) %}\n {{ log('On ' ~ relation ~': All grants are in place, no revocation or granting needed.')}}\n {% endif %}\n {% else %}\n {#-- We don't think there's any chance of previous grants having carried over. --#}\n {#-- Jump straight to granting what the user has configured. --#}\n {% set needs_revoking = {} %}\n {% set needs_granting = grant_config %}\n {% endif %}\n {% if needs_granting or needs_revoking %}\n {% set revoke_statement_list = get_dcl_statement_list(relation, needs_revoking, get_revoke_sql) %}\n {% set grant_statement_list = get_dcl_statement_list(relation, needs_granting, get_grant_sql) %}\n {% set dcl_statement_list = revoke_statement_list + grant_statement_list %}\n {% if dcl_statement_list %}\n {{ call_dcl_statements(dcl_statement_list) }}\n {% endif %}\n {% endif %}\n {% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query", "macro.dbt.get_show_grant_sql", "macro.dbt.get_dcl_statement_list", "macro.dbt.call_dcl_statements"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3598547}, "macro.dbt.get_columns_in_relation": {"unique_id": "macro.dbt.get_columns_in_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "get_columns_in_relation", "macro_sql": "{% macro get_columns_in_relation(relation) -%}\n {{ return(adapter.dispatch('get_columns_in_relation', 'dbt')(relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__get_columns_in_relation"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3675277}, "macro.dbt.default__get_columns_in_relation": {"unique_id": "macro.dbt.default__get_columns_in_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "default__get_columns_in_relation", "macro_sql": "{% macro default__get_columns_in_relation(relation) -%}\n {{ exceptions.raise_not_implemented(\n 'get_columns_in_relation macro not implemented for adapter '+adapter.type()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3684294}, "macro.dbt.sql_convert_columns_in_relation": {"unique_id": "macro.dbt.sql_convert_columns_in_relation", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "sql_convert_columns_in_relation", "macro_sql": "{% macro sql_convert_columns_in_relation(table) -%}\n {% set columns = [] %}\n {% for row in table %}\n {% do columns.append(api.Column(*row)) %}\n {% endfor %}\n {{ return(columns) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.370281}, "macro.dbt.get_columns_in_query": {"unique_id": "macro.dbt.get_columns_in_query", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "get_columns_in_query", "macro_sql": "{% macro get_columns_in_query(select_sql) -%}\n {{ return(adapter.dispatch('get_columns_in_query', 'dbt')(select_sql)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.371468}, "macro.dbt.default__get_columns_in_query": {"unique_id": "macro.dbt.default__get_columns_in_query", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "default__get_columns_in_query", "macro_sql": "{% macro default__get_columns_in_query(select_sql) %}\n {% call statement('get_columns_in_query', fetch_result=True, auto_begin=False) -%}\n select * from (\n {{ select_sql }}\n ) as __dbt_sbq\n where false\n limit 0\n {% endcall %}\n\n {{ return(load_result('get_columns_in_query').table.columns | map(attribute='name') | list) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3735764}, "macro.dbt.alter_column_type": {"unique_id": "macro.dbt.alter_column_type", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "alter_column_type", "macro_sql": "{% macro alter_column_type(relation, column_name, new_column_type) -%}\n {{ return(adapter.dispatch('alter_column_type', 'dbt')(relation, column_name, new_column_type)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3750405}, "macro.dbt.default__alter_column_type": {"unique_id": "macro.dbt.default__alter_column_type", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "default__alter_column_type", "macro_sql": "{% macro default__alter_column_type(relation, column_name, new_column_type) -%}\n {#\n 1. Create a new column (w/ temp name and correct type)\n 2. Copy data over to it\n 3. Drop the existing column (cascade!)\n 4. Rename the new column to existing column\n #}\n {%- set tmp_column = column_name + \"__dbt_alter\" -%}\n\n {% call statement('alter_column_type') %}\n alter table {{ relation }} add column {{ adapter.quote(tmp_column) }} {{ new_column_type }};\n update {{ relation }} set {{ adapter.quote(tmp_column) }} = {{ adapter.quote(column_name) }};\n alter table {{ relation }} drop column {{ adapter.quote(column_name) }} cascade;\n alter table {{ relation }} rename column {{ adapter.quote(tmp_column) }} to {{ adapter.quote(column_name) }}\n {% endcall %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3793468}, "macro.dbt.alter_relation_add_remove_columns": {"unique_id": "macro.dbt.alter_relation_add_remove_columns", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "alter_relation_add_remove_columns", "macro_sql": "{% macro alter_relation_add_remove_columns(relation, add_columns = none, remove_columns = none) -%}\n {{ return(adapter.dispatch('alter_relation_add_remove_columns', 'dbt')(relation, add_columns, remove_columns)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__alter_relation_add_remove_columns"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3810525}, "macro.dbt.default__alter_relation_add_remove_columns": {"unique_id": "macro.dbt.default__alter_relation_add_remove_columns", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/adapters/columns.sql", "original_file_path": "macros/adapters/columns.sql", "name": "default__alter_relation_add_remove_columns", "macro_sql": "{% macro default__alter_relation_add_remove_columns(relation, add_columns, remove_columns) %}\n\n {% if add_columns is none %}\n {% set add_columns = [] %}\n {% endif %}\n {% if remove_columns is none %}\n {% set remove_columns = [] %}\n {% endif %}\n\n {% set sql -%}\n\n alter {{ relation.type }} {{ relation }}\n\n {% for column in add_columns %}\n add column {{ column.name }} {{ column.data_type }}{{ ',' if not loop.last }}\n {% endfor %}{{ ',' if add_columns and remove_columns }}\n\n {% for column in remove_columns %}\n drop column {{ column.name }}{{ ',' if not loop.last }}\n {% endfor %}\n\n {%- endset -%}\n\n {% do run_query(sql) %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3865137}, "macro.dbt.set_sql_header": {"unique_id": "macro.dbt.set_sql_header", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "name": "set_sql_header", "macro_sql": "{% macro set_sql_header(config) -%}\n {{ config.set('sql_header', caller()) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3892727}, "macro.dbt.should_full_refresh": {"unique_id": "macro.dbt.should_full_refresh", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "name": "should_full_refresh", "macro_sql": "{% macro should_full_refresh() %}\n {% set config_full_refresh = config.get('full_refresh') %}\n {% if config_full_refresh is none %}\n {% set config_full_refresh = flags.FULL_REFRESH %}\n {% endif %}\n {% do return(config_full_refresh) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3912885}, "macro.dbt.should_store_failures": {"unique_id": "macro.dbt.should_store_failures", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/configs.sql", "original_file_path": "macros/materializations/configs.sql", "name": "should_store_failures", "macro_sql": "{% macro should_store_failures() %}\n {% set config_store_failures = config.get('store_failures') %}\n {% if config_store_failures is none %}\n {% set config_store_failures = flags.STORE_FAILURES %}\n {% endif %}\n {% do return(config_store_failures) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.3932946}, "macro.dbt.run_hooks": {"unique_id": "macro.dbt.run_hooks", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "name": "run_hooks", "macro_sql": "{% macro run_hooks(hooks, inside_transaction=True) %}\n {% for hook in hooks | selectattr('transaction', 'equalto', inside_transaction) %}\n {% if not inside_transaction and loop.first %}\n {% call statement(auto_begin=inside_transaction) %}\n commit;\n {% endcall %}\n {% endif %}\n {% set rendered = render(hook.get('sql')) | trim %}\n {% if (rendered | length) > 0 %}\n {% call statement(auto_begin=inside_transaction) %}\n {{ rendered }}\n {% endcall %}\n {% endif %}\n {% endfor %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4000466}, "macro.dbt.make_hook_config": {"unique_id": "macro.dbt.make_hook_config", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "name": "make_hook_config", "macro_sql": "{% macro make_hook_config(sql, inside_transaction) %}\n {{ tojson({\"sql\": sql, \"transaction\": inside_transaction}) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.401177}, "macro.dbt.before_begin": {"unique_id": "macro.dbt.before_begin", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "name": "before_begin", "macro_sql": "{% macro before_begin(sql) %}\n {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4020278}, "macro.dbt.in_transaction": {"unique_id": "macro.dbt.in_transaction", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "name": "in_transaction", "macro_sql": "{% macro in_transaction(sql) %}\n {{ make_hook_config(sql, inside_transaction=True) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4029102}, "macro.dbt.after_commit": {"unique_id": "macro.dbt.after_commit", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/hooks.sql", "original_file_path": "macros/materializations/hooks.sql", "name": "after_commit", "macro_sql": "{% macro after_commit(sql) %}\n {{ make_hook_config(sql, inside_transaction=False) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.make_hook_config"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.403732}, "macro.dbt.get_test_sql": {"unique_id": "macro.dbt.get_test_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "name": "get_test_sql", "macro_sql": "{% macro get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n {{ adapter.dispatch('get_test_sql', 'dbt')(main_sql, fail_calc, warn_if, error_if, limit) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4063685}, "macro.dbt.default__get_test_sql": {"unique_id": "macro.dbt.default__get_test_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/tests/helpers.sql", "original_file_path": "macros/materializations/tests/helpers.sql", "name": "default__get_test_sql", "macro_sql": "{% macro default__get_test_sql(main_sql, fail_calc, warn_if, error_if, limit) -%}\n select\n {{ fail_calc }} as failures,\n {{ fail_calc }} {{ warn_if }} as should_warn,\n {{ fail_calc }} {{ error_if }} as should_error\n from (\n {{ main_sql }}\n {{ \"limit \" ~ limit if limit != none }}\n ) dbt_internal_test\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4080179}, "macro.dbt.materialization_test_default": {"unique_id": "macro.dbt.materialization_test_default", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/tests/test.sql", "original_file_path": "macros/materializations/tests/test.sql", "name": "materialization_test_default", "macro_sql": "{%- materialization test, default -%}\n\n {% set relations = [] %}\n\n {% if should_store_failures() %}\n\n {% set identifier = model['alias'] %}\n {% set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) %}\n {% set target_relation = api.Relation.create(\n identifier=identifier, schema=schema, database=database, type='table') -%} %}\n\n {% if old_relation %}\n {% do adapter.drop_relation(old_relation) %}\n {% endif %}\n\n {% call statement(auto_begin=True) %}\n {{ create_table_as(False, target_relation, sql) }}\n {% endcall %}\n\n {% do relations.append(target_relation) %}\n\n {% set main_sql %}\n select *\n from {{ target_relation }}\n {% endset %}\n\n {{ adapter.commit() }}\n\n {% else %}\n\n {% set main_sql = sql %}\n\n {% endif %}\n\n {% set limit = config.get('limit') %}\n {% set fail_calc = config.get('fail_calc') %}\n {% set warn_if = config.get('warn_if') %}\n {% set error_if = config.get('error_if') %}\n\n {% call statement('main', fetch_result=True) -%}\n\n {{ get_test_sql(main_sql, fail_calc, warn_if, error_if, limit)}}\n\n {%- endcall %}\n\n {{ return({'relations': relations}) }}\n\n{%- endmaterialization -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.should_store_failures", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt.get_test_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4205499}, "macro.dbt.get_where_subquery": {"unique_id": "macro.dbt.get_where_subquery", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "name": "get_where_subquery", "macro_sql": "{% macro get_where_subquery(relation) -%}\n {% do return(adapter.dispatch('get_where_subquery', 'dbt')(relation)) %}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_where_subquery"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.422998}, "macro.dbt.default__get_where_subquery": {"unique_id": "macro.dbt.default__get_where_subquery", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/tests/where_subquery.sql", "original_file_path": "macros/materializations/tests/where_subquery.sql", "name": "default__get_where_subquery", "macro_sql": "{% macro default__get_where_subquery(relation) -%}\n {% set where = config.get('where', '') %}\n {% if where %}\n {%- set filtered -%}\n (select * from {{ relation }} where {{ where }}) dbt_subquery\n {%- endset -%}\n {% do return(filtered) %}\n {%- else -%}\n {% do return(relation) %}\n {%- endif -%}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4251623}, "macro.dbt.materialization_seed_default": {"unique_id": "macro.dbt.materialization_seed_default", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/seed.sql", "original_file_path": "macros/materializations/seeds/seed.sql", "name": "materialization_seed_default", "macro_sql": "{% materialization seed, default %}\n\n {%- set identifier = model['alias'] -%}\n {%- set full_refresh_mode = (should_full_refresh()) -%}\n\n {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n\n {%- set exists_as_table = (old_relation is not none and old_relation.is_table) -%}\n {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n {%- set grant_config = config.get('grants') -%}\n {%- set agate_table = load_agate_table() -%}\n -- grab current tables grants config for comparision later on\n\n {%- do store_result('agate_table', response='OK', agate_table=agate_table) -%}\n\n {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n -- `BEGIN` happens here:\n {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n -- build model\n {% set create_table_sql = \"\" %}\n {% if exists_as_view %}\n {{ exceptions.raise_compiler_error(\"Cannot seed to '{}', it is a view\".format(old_relation)) }}\n {% elif exists_as_table %}\n {% set create_table_sql = reset_csv_table(model, full_refresh_mode, old_relation, agate_table) %}\n {% else %}\n {% set create_table_sql = create_csv_table(model, agate_table) %}\n {% endif %}\n\n {% set code = 'CREATE' if full_refresh_mode else 'INSERT' %}\n {% set rows_affected = (agate_table.rows | length) %}\n {% set sql = load_csv_rows(model, agate_table) %}\n\n {% call noop_statement('main', code ~ ' ' ~ rows_affected, code, rows_affected) %}\n {{ get_csv_sql(create_table_sql, sql) }};\n {% endcall %}\n\n {% set target_relation = this.incorporate(type='table') %}\n\n {% set should_revoke = should_revoke(old_relation, full_refresh_mode) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n {% if full_refresh_mode or not exists_as_table %}\n {% do create_indexes(target_relation) %}\n {% endif %}\n\n {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n -- `COMMIT` happens here\n {{ adapter.commit() }}\n\n {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.should_full_refresh", "macro.dbt.run_hooks", "macro.dbt.reset_csv_table", "macro.dbt.create_csv_table", "macro.dbt.load_csv_rows", "macro.dbt.noop_statement", "macro.dbt.get_csv_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.441806}, "macro.dbt.create_csv_table": {"unique_id": "macro.dbt.create_csv_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "create_csv_table", "macro_sql": "{% macro create_csv_table(model, agate_table) -%}\n {{ adapter.dispatch('create_csv_table', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.460031}, "macro.dbt.default__create_csv_table": {"unique_id": "macro.dbt.default__create_csv_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "default__create_csv_table", "macro_sql": "{% macro default__create_csv_table(model, agate_table) %}\n {%- set column_override = model['config'].get('column_types', {}) -%}\n {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n\n {% set sql %}\n create table {{ this.render() }} (\n {%- for col_name in agate_table.column_names -%}\n {%- set inferred_type = adapter.convert_type(agate_table, loop.index0) -%}\n {%- set type = column_override.get(col_name, inferred_type) -%}\n {%- set column_name = (col_name | string) -%}\n {{ adapter.quote_seed_column(column_name, quote_seed_column) }} {{ type }} {%- if not loop.last -%}, {%- endif -%}\n {%- endfor -%}\n )\n {% endset %}\n\n {% call statement('_') -%}\n {{ sql }}\n {%- endcall %}\n\n {{ return(sql) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4643984}, "macro.dbt.reset_csv_table": {"unique_id": "macro.dbt.reset_csv_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "reset_csv_table", "macro_sql": "{% macro reset_csv_table(model, full_refresh, old_relation, agate_table) -%}\n {{ adapter.dispatch('reset_csv_table', 'dbt')(model, full_refresh, old_relation, agate_table) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__reset_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4658628}, "macro.dbt.default__reset_csv_table": {"unique_id": "macro.dbt.default__reset_csv_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "default__reset_csv_table", "macro_sql": "{% macro default__reset_csv_table(model, full_refresh, old_relation, agate_table) %}\n {% set sql = \"\" %}\n {% if full_refresh %}\n {{ adapter.drop_relation(old_relation) }}\n {% set sql = create_csv_table(model, agate_table) %}\n {% else %}\n {{ adapter.truncate_relation(old_relation) }}\n {% set sql = \"truncate table \" ~ old_relation %}\n {% endif %}\n\n {{ return(sql) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.create_csv_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4682674}, "macro.dbt.get_csv_sql": {"unique_id": "macro.dbt.get_csv_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "get_csv_sql", "macro_sql": "{% macro get_csv_sql(create_or_truncate_sql, insert_sql) %}\n {{ adapter.dispatch('get_csv_sql', 'dbt')(create_or_truncate_sql, insert_sql) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_csv_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4692268}, "macro.dbt.default__get_csv_sql": {"unique_id": "macro.dbt.default__get_csv_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "default__get_csv_sql", "macro_sql": "{% macro default__get_csv_sql(create_or_truncate_sql, insert_sql) %}\n {{ create_or_truncate_sql }};\n -- dbt seed --\n {{ insert_sql }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4699578}, "macro.dbt.get_binding_char": {"unique_id": "macro.dbt.get_binding_char", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "get_binding_char", "macro_sql": "{% macro get_binding_char() -%}\n {{ adapter.dispatch('get_binding_char', 'dbt')() }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4707012}, "macro.dbt.default__get_binding_char": {"unique_id": "macro.dbt.default__get_binding_char", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "default__get_binding_char", "macro_sql": "{% macro default__get_binding_char() %}\n {{ return('%s') }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4713418}, "macro.dbt.get_batch_size": {"unique_id": "macro.dbt.get_batch_size", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "get_batch_size", "macro_sql": "{% macro get_batch_size() -%}\n {{ return(adapter.dispatch('get_batch_size', 'dbt')()) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_batch_size"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.472192}, "macro.dbt.default__get_batch_size": {"unique_id": "macro.dbt.default__get_batch_size", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "default__get_batch_size", "macro_sql": "{% macro default__get_batch_size() %}\n {{ return(10000) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4727967}, "macro.dbt.get_seed_column_quoted_csv": {"unique_id": "macro.dbt.get_seed_column_quoted_csv", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "get_seed_column_quoted_csv", "macro_sql": "{% macro get_seed_column_quoted_csv(model, column_names) %}\n {%- set quote_seed_column = model['config'].get('quote_columns', None) -%}\n {% set quoted = [] %}\n {% for col in column_names -%}\n {%- do quoted.append(adapter.quote_seed_column(col, quote_seed_column)) -%}\n {%- endfor %}\n\n {%- set dest_cols_csv = quoted | join(', ') -%}\n {{ return(dest_cols_csv) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4753013}, "macro.dbt.load_csv_rows": {"unique_id": "macro.dbt.load_csv_rows", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "load_csv_rows", "macro_sql": "{% macro load_csv_rows(model, agate_table) -%}\n {{ adapter.dispatch('load_csv_rows', 'dbt')(model, agate_table) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__load_csv_rows"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4761908}, "macro.dbt.default__load_csv_rows": {"unique_id": "macro.dbt.default__load_csv_rows", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/seeds/helpers.sql", "original_file_path": "macros/materializations/seeds/helpers.sql", "name": "default__load_csv_rows", "macro_sql": "{% macro default__load_csv_rows(model, agate_table) %}\n\n {% set batch_size = get_batch_size() %}\n\n {% set cols_sql = get_seed_column_quoted_csv(model, agate_table.column_names) %}\n {% set bindings = [] %}\n\n {% set statements = [] %}\n\n {% for chunk in agate_table.rows | batch(batch_size) %}\n {% set bindings = [] %}\n\n {% for row in chunk %}\n {% do bindings.extend(row) %}\n {% endfor %}\n\n {% set sql %}\n insert into {{ this.render() }} ({{ cols_sql }}) values\n {% for row in chunk -%}\n ({%- for column in agate_table.column_names -%}\n {{ get_binding_char() }}\n {%- if not loop.last%},{%- endif %}\n {%- endfor -%})\n {%- if not loop.last%},{%- endif %}\n {%- endfor %}\n {% endset %}\n\n {% do adapter.add_query(sql, bindings=bindings, abridge_sql_log=True) %}\n\n {% if loop.index0 == 0 %}\n {% do statements.append(sql) %}\n {% endif %}\n {% endfor %}\n\n {# Return SQL so we can render it out into the compiled files #}\n {{ return(statements[0]) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_batch_size", "macro.dbt.get_seed_column_quoted_csv", "macro.dbt.get_binding_char"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.4823785}, "macro.dbt.materialization_incremental_default": {"unique_id": "macro.dbt.materialization_incremental_default", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/incremental.sql", "original_file_path": "macros/materializations/models/incremental/incremental.sql", "name": "materialization_incremental_default", "macro_sql": "{% materialization incremental, default -%}\n\n -- relations\n {%- set existing_relation = load_cached_relation(this) -%}\n {%- set target_relation = this.incorporate(type='table') -%}\n {%- set temp_relation = make_temp_relation(target_relation)-%}\n {%- set intermediate_relation = make_intermediate_relation(target_relation)-%}\n {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n\n -- configs\n {%- set unique_key = config.get('unique_key') -%}\n {%- set full_refresh_mode = (should_full_refresh() or existing_relation.is_view) -%}\n {%- set on_schema_change = incremental_validate_on_schema_change(config.get('on_schema_change'), default='ignore') -%}\n\n -- the temp_ and backup_ relations should not already exist in the database; get_relation\n -- will return None in that case. Otherwise, we get a relation that we can drop\n -- later, before we try to use this name for the current operation. This has to happen before\n -- BEGIN, in a separate transaction\n {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation)-%}\n {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n -- grab current tables grants config for comparision later on\n {% set grant_config = config.get('grants') %}\n {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n -- `BEGIN` happens here:\n {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n {% set to_drop = [] %}\n\n {% if existing_relation is none %}\n {% set build_sql = get_create_table_as_sql(False, target_relation, sql) %}\n {% elif full_refresh_mode %}\n {% set build_sql = get_create_table_as_sql(False, intermediate_relation, sql) %}\n {% set need_swap = true %}\n {% else %}\n {% do run_query(get_create_table_as_sql(True, temp_relation, sql)) %}\n {% do adapter.expand_target_column_types(\n from_relation=temp_relation,\n to_relation=target_relation) %}\n {#-- Process schema changes. Returns dict of changes if successful. Use source columns for upserting/merging --#}\n {% set dest_columns = process_schema_changes(on_schema_change, temp_relation, existing_relation) %}\n {% if not dest_columns %}\n {% set dest_columns = adapter.get_columns_in_relation(existing_relation) %}\n {% endif %}\n {% set build_sql = get_delete_insert_merge_sql(target_relation, temp_relation, unique_key, dest_columns) %}\n\n {% endif %}\n\n {% call statement(\"main\") %}\n {{ build_sql }}\n {% endcall %}\n\n {% if need_swap %}\n {% do adapter.rename_relation(target_relation, backup_relation) %}\n {% do adapter.rename_relation(intermediate_relation, target_relation) %}\n {% do to_drop.append(backup_relation) %}\n {% endif %}\n\n {% set should_revoke = should_revoke(existing_relation, full_refresh_mode) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n {% if existing_relation is none or existing_relation.is_view or should_full_refresh() %}\n {% do create_indexes(target_relation) %}\n {% endif %}\n\n {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n -- `COMMIT` happens here\n {% do adapter.commit() %}\n\n {% for rel in to_drop %}\n {% do adapter.drop_relation(rel) %}\n {% endfor %}\n\n {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_temp_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.should_full_refresh", "macro.dbt.incremental_validate_on_schema_change", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.get_create_table_as_sql", "macro.dbt.run_query", "macro.dbt.process_schema_changes", "macro.dbt.get_delete_insert_merge_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.502074}, "macro.dbt.get_merge_sql": {"unique_id": "macro.dbt.get_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "name": "get_merge_sql", "macro_sql": "{% macro get_merge_sql(target, source, unique_key, dest_columns, predicates=none) -%}\n {{ adapter.dispatch('get_merge_sql', 'dbt')(target, source, unique_key, dest_columns, predicates) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__get_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.52084}, "macro.dbt.default__get_merge_sql": {"unique_id": "macro.dbt.default__get_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "name": "default__get_merge_sql", "macro_sql": "{% macro default__get_merge_sql(target, source, unique_key, dest_columns, predicates) -%}\n {%- set predicates = [] if predicates is none else [] + predicates -%}\n {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n {%- set update_columns = config.get('merge_update_columns', default = dest_columns | map(attribute=\"quoted\") | list) -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {% if unique_key %}\n {% if unique_key is sequence and unique_key is not mapping and unique_key is not string %}\n {% for key in unique_key %}\n {% set this_key_match %}\n DBT_INTERNAL_SOURCE.{{ key }} = DBT_INTERNAL_DEST.{{ key }}\n {% endset %}\n {% do predicates.append(this_key_match) %}\n {% endfor %}\n {% else %}\n {% set unique_key_match %}\n DBT_INTERNAL_SOURCE.{{ unique_key }} = DBT_INTERNAL_DEST.{{ unique_key }}\n {% endset %}\n {% do predicates.append(unique_key_match) %}\n {% endif %}\n {% else %}\n {% do predicates.append('FALSE') %}\n {% endif %}\n\n {{ sql_header if sql_header is not none }}\n\n merge into {{ target }} as DBT_INTERNAL_DEST\n using {{ source }} as DBT_INTERNAL_SOURCE\n on {{ predicates | join(' and ') }}\n\n {% if unique_key %}\n when matched then update set\n {% for column_name in update_columns -%}\n {{ column_name }} = DBT_INTERNAL_SOURCE.{{ column_name }}\n {%- if not loop.last %}, {%- endif %}\n {%- endfor %}\n {% endif %}\n\n when not matched then insert\n ({{ dest_cols_csv }})\n values\n ({{ dest_cols_csv }})\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5290127}, "macro.dbt.get_delete_insert_merge_sql": {"unique_id": "macro.dbt.get_delete_insert_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "name": "get_delete_insert_merge_sql", "macro_sql": "{% macro get_delete_insert_merge_sql(target, source, unique_key, dest_columns) -%}\n {{ adapter.dispatch('get_delete_insert_merge_sql', 'dbt')(target, source, unique_key, dest_columns) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__get_delete_insert_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.530661}, "macro.dbt.default__get_delete_insert_merge_sql": {"unique_id": "macro.dbt.default__get_delete_insert_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "name": "default__get_delete_insert_merge_sql", "macro_sql": "{% macro default__get_delete_insert_merge_sql(target, source, unique_key, dest_columns) -%}\n\n {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n\n {% if unique_key %}\n {% if unique_key is sequence and unique_key is not string %}\n delete from {{target }}\n using {{ source }}\n where (\n {% for key in unique_key %}\n {{ source }}.{{ key }} = {{ target }}.{{ key }}\n {{ \"and \" if not loop.last }}\n {% endfor %}\n );\n {% else %}\n delete from {{ target }}\n where (\n {{ unique_key }}) in (\n select ({{ unique_key }})\n from {{ source }}\n );\n\n {% endif %}\n {% endif %}\n\n insert into {{ target }} ({{ dest_cols_csv }})\n (\n select {{ dest_cols_csv }}\n from {{ source }}\n )\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5345416}, "macro.dbt.get_insert_overwrite_merge_sql": {"unique_id": "macro.dbt.get_insert_overwrite_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "name": "get_insert_overwrite_merge_sql", "macro_sql": "{% macro get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header=false) -%}\n {{ adapter.dispatch('get_insert_overwrite_merge_sql', 'dbt')(target, source, dest_columns, predicates, include_sql_header) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_insert_overwrite_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5359352}, "macro.dbt.default__get_insert_overwrite_merge_sql": {"unique_id": "macro.dbt.default__get_insert_overwrite_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/merge.sql", "original_file_path": "macros/materializations/models/incremental/merge.sql", "name": "default__get_insert_overwrite_merge_sql", "macro_sql": "{% macro default__get_insert_overwrite_merge_sql(target, source, dest_columns, predicates, include_sql_header) -%}\n {%- set predicates = [] if predicates is none else [] + predicates -%}\n {%- set dest_cols_csv = get_quoted_csv(dest_columns | map(attribute=\"name\")) -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {{ sql_header if sql_header is not none and include_sql_header }}\n\n merge into {{ target }} as DBT_INTERNAL_DEST\n using {{ source }} as DBT_INTERNAL_SOURCE\n on FALSE\n\n when not matched by source\n {% if predicates %} and {{ predicates | join(' and ') }} {% endif %}\n then delete\n\n when not matched then insert\n ({{ dest_cols_csv }})\n values\n ({{ dest_cols_csv }})\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_quoted_csv"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5392988}, "macro.dbt.get_quoted_csv": {"unique_id": "macro.dbt.get_quoted_csv", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "name": "get_quoted_csv", "macro_sql": "{% macro get_quoted_csv(column_names) %}\n\n {% set quoted = [] %}\n {% for col in column_names -%}\n {%- do quoted.append(adapter.quote(col)) -%}\n {%- endfor %}\n\n {%- set dest_cols_csv = quoted | join(', ') -%}\n {{ return(dest_cols_csv) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5436306}, "macro.dbt.diff_columns": {"unique_id": "macro.dbt.diff_columns", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "name": "diff_columns", "macro_sql": "{% macro diff_columns(source_columns, target_columns) %}\n\n {% set result = [] %}\n {% set source_names = source_columns | map(attribute = 'column') | list %}\n {% set target_names = target_columns | map(attribute = 'column') | list %}\n\n {# --check whether the name attribute exists in the target - this does not perform a data type check #}\n {% for sc in source_columns %}\n {% if sc.name not in target_names %}\n {{ result.append(sc) }}\n {% endif %}\n {% endfor %}\n\n {{ return(result) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5470493}, "macro.dbt.diff_column_data_types": {"unique_id": "macro.dbt.diff_column_data_types", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/column_helpers.sql", "original_file_path": "macros/materializations/models/incremental/column_helpers.sql", "name": "diff_column_data_types", "macro_sql": "{% macro diff_column_data_types(source_columns, target_columns) %}\n\n {% set result = [] %}\n {% for sc in source_columns %}\n {% set tc = target_columns | selectattr(\"name\", \"equalto\", sc.name) | list | first %}\n {% if tc %}\n {% if sc.data_type != tc.data_type %}\n {{ result.append( { 'column_name': tc.name, 'new_type': sc.data_type } ) }}\n {% endif %}\n {% endif %}\n {% endfor %}\n\n {{ return(result) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5499752}, "macro.dbt.is_incremental": {"unique_id": "macro.dbt.is_incremental", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/is_incremental.sql", "original_file_path": "macros/materializations/models/incremental/is_incremental.sql", "name": "is_incremental", "macro_sql": "{% macro is_incremental() %}\n {#-- do not run introspective queries in parsing #}\n {% if not execute %}\n {{ return(False) }}\n {% else %}\n {% set relation = adapter.get_relation(this.database, this.schema, this.table) %}\n {{ return(relation is not none\n and relation.type == 'table'\n and model.config.materialized == 'incremental'\n and not should_full_refresh()) }}\n {% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.should_full_refresh"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5522773}, "macro.dbt.incremental_validate_on_schema_change": {"unique_id": "macro.dbt.incremental_validate_on_schema_change", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "name": "incremental_validate_on_schema_change", "macro_sql": "{% macro incremental_validate_on_schema_change(on_schema_change, default='ignore') %}\n\n {% if on_schema_change not in ['sync_all_columns', 'append_new_columns', 'fail', 'ignore'] %}\n\n {% set log_message = 'Invalid value for on_schema_change (%s) specified. Setting default value of %s.' % (on_schema_change, default) %}\n {% do log(log_message) %}\n\n {{ return(default) }}\n\n {% else %}\n\n {{ return(on_schema_change) }}\n\n {% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5643504}, "macro.dbt.check_for_schema_changes": {"unique_id": "macro.dbt.check_for_schema_changes", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "name": "check_for_schema_changes", "macro_sql": "{% macro check_for_schema_changes(source_relation, target_relation) %}\n\n {% set schema_changed = False %}\n\n {%- set source_columns = adapter.get_columns_in_relation(source_relation) -%}\n {%- set target_columns = adapter.get_columns_in_relation(target_relation) -%}\n {%- set source_not_in_target = diff_columns(source_columns, target_columns) -%}\n {%- set target_not_in_source = diff_columns(target_columns, source_columns) -%}\n\n {% set new_target_types = diff_column_data_types(source_columns, target_columns) %}\n\n {% if source_not_in_target != [] %}\n {% set schema_changed = True %}\n {% elif target_not_in_source != [] or new_target_types != [] %}\n {% set schema_changed = True %}\n {% elif new_target_types != [] %}\n {% set schema_changed = True %}\n {% endif %}\n\n {% set changes_dict = {\n 'schema_changed': schema_changed,\n 'source_not_in_target': source_not_in_target,\n 'target_not_in_source': target_not_in_source,\n 'source_columns': source_columns,\n 'target_columns': target_columns,\n 'new_target_types': new_target_types\n } %}\n\n {% set msg %}\n In {{ target_relation }}:\n Schema changed: {{ schema_changed }}\n Source columns not in target: {{ source_not_in_target }}\n Target columns not in source: {{ target_not_in_source }}\n New column types: {{ new_target_types }}\n {% endset %}\n\n {% do log(msg) %}\n\n {{ return(changes_dict) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.diff_columns", "macro.dbt.diff_column_data_types"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5686953}, "macro.dbt.sync_column_schemas": {"unique_id": "macro.dbt.sync_column_schemas", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "name": "sync_column_schemas", "macro_sql": "{% macro sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n {%- set add_to_target_arr = schema_changes_dict['source_not_in_target'] -%}\n\n {%- if on_schema_change == 'append_new_columns'-%}\n {%- if add_to_target_arr | length > 0 -%}\n {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, none) -%}\n {%- endif -%}\n\n {% elif on_schema_change == 'sync_all_columns' %}\n {%- set remove_from_target_arr = schema_changes_dict['target_not_in_source'] -%}\n {%- set new_target_types = schema_changes_dict['new_target_types'] -%}\n\n {% if add_to_target_arr | length > 0 or remove_from_target_arr | length > 0 %}\n {%- do alter_relation_add_remove_columns(target_relation, add_to_target_arr, remove_from_target_arr) -%}\n {% endif %}\n\n {% if new_target_types != [] %}\n {% for ntt in new_target_types %}\n {% set column_name = ntt['column_name'] %}\n {% set new_type = ntt['new_type'] %}\n {% do alter_column_type(target_relation, column_name, new_type) %}\n {% endfor %}\n {% endif %}\n\n {% endif %}\n\n {% set schema_change_message %}\n In {{ target_relation }}:\n Schema change approach: {{ on_schema_change }}\n Columns added: {{ add_to_target_arr }}\n Columns removed: {{ remove_from_target_arr }}\n Data types changed: {{ new_target_types }}\n {% endset %}\n\n {% do log(schema_change_message) %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.alter_relation_add_remove_columns", "macro.dbt.alter_column_type"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.572621}, "macro.dbt.process_schema_changes": {"unique_id": "macro.dbt.process_schema_changes", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/incremental/on_schema_change.sql", "original_file_path": "macros/materializations/models/incremental/on_schema_change.sql", "name": "process_schema_changes", "macro_sql": "{% macro process_schema_changes(on_schema_change, source_relation, target_relation) %}\n\n {% if on_schema_change == 'ignore' %}\n\n {{ return({}) }}\n\n {% else %}\n\n {% set schema_changes_dict = check_for_schema_changes(source_relation, target_relation) %}\n\n {% if schema_changes_dict['schema_changed'] %}\n\n {% if on_schema_change == 'fail' %}\n\n {% set fail_msg %}\n The source and target schemas on this incremental model are out of sync!\n They can be reconciled in several ways:\n - set the `on_schema_change` config to either append_new_columns or sync_all_columns, depending on your situation.\n - Re-run the incremental model with `full_refresh: True` to update the target schema.\n - update the schema manually and re-run the process.\n {% endset %}\n\n {% do exceptions.raise_compiler_error(fail_msg) %}\n\n {# -- unless we ignore, run the sync operation per the config #}\n {% else %}\n\n {% do sync_column_schemas(on_schema_change, target_relation, schema_changes_dict) %}\n\n {% endif %}\n\n {% endif %}\n\n {{ return(schema_changes_dict['source_columns']) }}\n\n {% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.check_for_schema_changes", "macro.dbt.sync_column_schemas"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.57514}, "macro.dbt.get_create_view_as_sql": {"unique_id": "macro.dbt.get_create_view_as_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "name": "get_create_view_as_sql", "macro_sql": "{% macro get_create_view_as_sql(relation, sql) -%}\n {{ adapter.dispatch('get_create_view_as_sql', 'dbt')(relation, sql) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_create_view_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5765069}, "macro.dbt.default__get_create_view_as_sql": {"unique_id": "macro.dbt.default__get_create_view_as_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "name": "default__get_create_view_as_sql", "macro_sql": "{% macro default__get_create_view_as_sql(relation, sql) -%}\n {{ return(create_view_as(relation, sql)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5770168}, "macro.dbt.create_view_as": {"unique_id": "macro.dbt.create_view_as", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "name": "create_view_as", "macro_sql": "{% macro create_view_as(relation, sql) -%}\n {{ adapter.dispatch('create_view_as', 'dbt')(relation, sql) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__create_view_as"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.577604}, "macro.dbt.default__create_view_as": {"unique_id": "macro.dbt.default__create_view_as", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/create_view_as.sql", "original_file_path": "macros/materializations/models/view/create_view_as.sql", "name": "default__create_view_as", "macro_sql": "{% macro default__create_view_as(relation, sql) -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {{ sql_header if sql_header is not none }}\n create view {{ relation }} as (\n {{ sql }}\n );\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5785336}, "macro.dbt.handle_existing_table": {"unique_id": "macro.dbt.handle_existing_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "name": "handle_existing_table", "macro_sql": "{% macro handle_existing_table(full_refresh, old_relation) %}\n {{ adapter.dispatch('handle_existing_table', 'dbt')(full_refresh, old_relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__handle_existing_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.579794}, "macro.dbt.default__handle_existing_table": {"unique_id": "macro.dbt.default__handle_existing_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/helpers.sql", "original_file_path": "macros/materializations/models/view/helpers.sql", "name": "default__handle_existing_table", "macro_sql": "{% macro default__handle_existing_table(full_refresh, old_relation) %}\n {{ log(\"Dropping relation \" ~ old_relation ~ \" because it is of type \" ~ old_relation.type) }}\n {{ adapter.drop_relation(old_relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5805054}, "macro.dbt.materialization_view_default": {"unique_id": "macro.dbt.materialization_view_default", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/view.sql", "original_file_path": "macros/materializations/models/view/view.sql", "name": "materialization_view_default", "macro_sql": "{%- materialization view, default -%}\n\n {%- set existing_relation = load_cached_relation(this) -%}\n {%- set target_relation = this.incorporate(type='view') -%}\n {%- set intermediate_relation = make_intermediate_relation(target_relation) -%}\n\n -- the intermediate_relation should not already exist in the database; get_relation\n -- will return None in that case. Otherwise, we get a relation that we can drop\n -- later, before we try to use this name for the current operation\n {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n /*\n This relation (probably) doesn't exist yet. If it does exist, it's a leftover from\n a previous run, and we're going to try to drop it immediately. At the end of this\n materialization, we're going to rename the \"existing_relation\" to this identifier,\n and then we're going to drop it. In order to make sure we run the correct one of:\n - drop view ...\n - drop table ...\n\n We need to set the type of this relation to be the type of the existing_relation, if it exists,\n or else \"view\" as a sane default if it does not. Note that if the existing_relation does not\n exist, then there is nothing to move out of the way and subsequentally drop. In that case,\n this relation will be effectively unused.\n */\n {%- set backup_relation_type = 'view' if existing_relation is none else existing_relation.type -%}\n {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n -- as above, the backup_relation should not already exist\n {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n -- grab current tables grants config for comparision later on\n {% set grant_config = config.get('grants') %}\n\n {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n -- drop the temp relations if they exist already in the database\n {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n -- `BEGIN` happens here:\n {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n -- build model\n {% call statement('main') -%}\n {{ get_create_view_as_sql(intermediate_relation, sql) }}\n {%- endcall %}\n\n -- cleanup\n -- move the existing view out of the way\n {% if existing_relation is not none %}\n {{ adapter.rename_relation(existing_relation, backup_relation) }}\n {% endif %}\n {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n {{ adapter.commit() }}\n\n {{ drop_relation_if_exists(backup_relation) }}\n\n {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n {{ return({'relations': [target_relation]}) }}\n\n{%- endmaterialization -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.run_hooks", "macro.dbt.drop_relation_if_exists", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5881267}, "macro.dbt.create_or_replace_view": {"unique_id": "macro.dbt.create_or_replace_view", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/view/create_or_replace_view.sql", "original_file_path": "macros/materializations/models/view/create_or_replace_view.sql", "name": "create_or_replace_view", "macro_sql": "{% macro create_or_replace_view() %}\n {%- set identifier = model['alias'] -%}\n\n {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n {%- set exists_as_view = (old_relation is not none and old_relation.is_view) -%}\n\n {%- set target_relation = api.Relation.create(\n identifier=identifier, schema=schema, database=database,\n type='view') -%}\n {% set grant_config = config.get('grants') %}\n\n {{ run_hooks(pre_hooks) }}\n\n -- If there's a table with the same name and we weren't told to full refresh,\n -- that's an error. If we were told to full refresh, drop it. This behavior differs\n -- for Snowflake and BigQuery, so multiple dispatch is used.\n {%- if old_relation is not none and old_relation.is_table -%}\n {{ handle_existing_table(should_full_refresh(), old_relation) }}\n {%- endif -%}\n\n -- build model\n {% call statement('main') -%}\n {{ get_create_view_as_sql(target_relation, sql) }}\n {%- endcall %}\n\n {% set should_revoke = should_revoke(exists_as_view, full_refresh_mode=True) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=True) %}\n\n {{ run_hooks(post_hooks) }}\n\n {{ return({'relations': [target_relation]}) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.handle_existing_table", "macro.dbt.should_full_refresh", "macro.dbt.statement", "macro.dbt.get_create_view_as_sql", "macro.dbt.should_revoke", "macro.dbt.apply_grants"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.592963}, "macro.dbt.get_create_table_as_sql": {"unique_id": "macro.dbt.get_create_table_as_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "name": "get_create_table_as_sql", "macro_sql": "{% macro get_create_table_as_sql(temporary, relation, sql) -%}\n {{ adapter.dispatch('get_create_table_as_sql', 'dbt')(temporary, relation, sql) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_create_table_as_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5946338}, "macro.dbt.default__get_create_table_as_sql": {"unique_id": "macro.dbt.default__get_create_table_as_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "name": "default__get_create_table_as_sql", "macro_sql": "{% macro default__get_create_table_as_sql(temporary, relation, sql) -%}\n {{ return(create_table_as(temporary, relation, sql)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.595311}, "macro.dbt.create_table_as": {"unique_id": "macro.dbt.create_table_as", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "name": "create_table_as", "macro_sql": "{% macro create_table_as(temporary, relation, sql) -%}\n {{ adapter.dispatch('create_table_as', 'dbt')(temporary, relation, sql) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.5960395}, "macro.dbt.default__create_table_as": {"unique_id": "macro.dbt.default__create_table_as", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/table/create_table_as.sql", "original_file_path": "macros/materializations/models/table/create_table_as.sql", "name": "default__create_table_as", "macro_sql": "{% macro default__create_table_as(temporary, relation, sql) -%}\n {%- set sql_header = config.get('sql_header', none) -%}\n\n {{ sql_header if sql_header is not none }}\n\n create {% if temporary: -%}temporary{%- endif %} table\n {{ relation.include(database=(not temporary), schema=(not temporary)) }}\n as (\n {{ sql }}\n );\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.598284}, "macro.dbt.materialization_table_default": {"unique_id": "macro.dbt.materialization_table_default", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/models/table/table.sql", "original_file_path": "macros/materializations/models/table/table.sql", "name": "materialization_table_default", "macro_sql": "{% materialization table, default %}\n\n {%- set existing_relation = load_cached_relation(this) -%}\n {%- set target_relation = this.incorporate(type='table') %}\n {%- set intermediate_relation = make_intermediate_relation(target_relation) -%}\n -- the intermediate_relation should not already exist in the database; get_relation\n -- will return None in that case. Otherwise, we get a relation that we can drop\n -- later, before we try to use this name for the current operation\n {%- set preexisting_intermediate_relation = load_cached_relation(intermediate_relation) -%}\n /*\n See ../view/view.sql for more information about this relation.\n */\n {%- set backup_relation_type = 'table' if existing_relation is none else existing_relation.type -%}\n {%- set backup_relation = make_backup_relation(target_relation, backup_relation_type) -%}\n -- as above, the backup_relation should not already exist\n {%- set preexisting_backup_relation = load_cached_relation(backup_relation) -%}\n -- grab current tables grants config for comparision later on\n {% set grant_config = config.get('grants') %}\n\n -- drop the temp relations if they exist already in the database\n {{ drop_relation_if_exists(preexisting_intermediate_relation) }}\n {{ drop_relation_if_exists(preexisting_backup_relation) }}\n\n {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n -- `BEGIN` happens here:\n {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n -- build model\n {% call statement('main') -%}\n {{ get_create_table_as_sql(False, intermediate_relation, sql) }}\n {%- endcall %}\n\n -- cleanup\n {% if existing_relation is not none %}\n {{ adapter.rename_relation(existing_relation, backup_relation) }}\n {% endif %}\n\n {{ adapter.rename_relation(intermediate_relation, target_relation) }}\n\n {% do create_indexes(target_relation) %}\n\n {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n {% set should_revoke = should_revoke(existing_relation, full_refresh_mode=True) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n -- `COMMIT` happens here\n {{ adapter.commit() }}\n\n -- finally, drop the existing/backup relation after the commit\n {{ drop_relation_if_exists(backup_relation) }}\n\n {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n {{ return({'relations': [target_relation]}) }}\n{% endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.load_cached_relation", "macro.dbt.make_intermediate_relation", "macro.dbt.make_backup_relation", "macro.dbt.drop_relation_if_exists", "macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.get_create_table_as_sql", "macro.dbt.create_indexes", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6079266}, "macro.dbt.create_columns": {"unique_id": "macro.dbt.create_columns", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "create_columns", "macro_sql": "{% macro create_columns(relation, columns) %}\n {{ adapter.dispatch('create_columns', 'dbt')(relation, columns) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__create_columns"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6175945}, "macro.dbt.default__create_columns": {"unique_id": "macro.dbt.default__create_columns", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "default__create_columns", "macro_sql": "{% macro default__create_columns(relation, columns) %}\n {% for column in columns %}\n {% call statement() %}\n alter table {{ relation }} add column \"{{ column.name }}\" {{ column.data_type }};\n {% endcall %}\n {% endfor %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.618513}, "macro.dbt.post_snapshot": {"unique_id": "macro.dbt.post_snapshot", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "post_snapshot", "macro_sql": "{% macro post_snapshot(staging_relation) %}\n {{ adapter.dispatch('post_snapshot', 'dbt')(staging_relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.619052}, "macro.dbt.default__post_snapshot": {"unique_id": "macro.dbt.default__post_snapshot", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "default__post_snapshot", "macro_sql": "{% macro default__post_snapshot(staging_relation) %}\n {# no-op #}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6193442}, "macro.dbt.get_true_sql": {"unique_id": "macro.dbt.get_true_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "get_true_sql", "macro_sql": "{% macro get_true_sql() %}\n {{ adapter.dispatch('get_true_sql', 'dbt')() }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__get_true_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6198535}, "macro.dbt.default__get_true_sql": {"unique_id": "macro.dbt.default__get_true_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "default__get_true_sql", "macro_sql": "{% macro default__get_true_sql() %}\n {{ return('TRUE') }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6203089}, "macro.dbt.snapshot_staging_table": {"unique_id": "macro.dbt.snapshot_staging_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "snapshot_staging_table", "macro_sql": "{% macro snapshot_staging_table(strategy, source_sql, target_relation) -%}\n {{ adapter.dispatch('snapshot_staging_table', 'dbt')(strategy, source_sql, target_relation) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__snapshot_staging_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6209846}, "macro.dbt.default__snapshot_staging_table": {"unique_id": "macro.dbt.default__snapshot_staging_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "default__snapshot_staging_table", "macro_sql": "{% macro default__snapshot_staging_table(strategy, source_sql, target_relation) -%}\n\n with snapshot_query as (\n\n {{ source_sql }}\n\n ),\n\n snapshotted_data as (\n\n select *,\n {{ strategy.unique_key }} as dbt_unique_key\n\n from {{ target_relation }}\n where dbt_valid_to is null\n\n ),\n\n insertions_source_data as (\n\n select\n *,\n {{ strategy.unique_key }} as dbt_unique_key,\n {{ strategy.updated_at }} as dbt_updated_at,\n {{ strategy.updated_at }} as dbt_valid_from,\n nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to,\n {{ strategy.scd_id }} as dbt_scd_id\n\n from snapshot_query\n ),\n\n updates_source_data as (\n\n select\n *,\n {{ strategy.unique_key }} as dbt_unique_key,\n {{ strategy.updated_at }} as dbt_updated_at,\n {{ strategy.updated_at }} as dbt_valid_from,\n {{ strategy.updated_at }} as dbt_valid_to\n\n from snapshot_query\n ),\n\n {%- if strategy.invalidate_hard_deletes %}\n\n deletes_source_data as (\n\n select\n *,\n {{ strategy.unique_key }} as dbt_unique_key\n from snapshot_query\n ),\n {% endif %}\n\n insertions as (\n\n select\n 'insert' as dbt_change_type,\n source_data.*\n\n from insertions_source_data as source_data\n left outer join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n where snapshotted_data.dbt_unique_key is null\n or (\n snapshotted_data.dbt_unique_key is not null\n and (\n {{ strategy.row_changed }}\n )\n )\n\n ),\n\n updates as (\n\n select\n 'update' as dbt_change_type,\n source_data.*,\n snapshotted_data.dbt_scd_id\n\n from updates_source_data as source_data\n join snapshotted_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n where (\n {{ strategy.row_changed }}\n )\n )\n\n {%- if strategy.invalidate_hard_deletes -%}\n ,\n\n deletes as (\n\n select\n 'delete' as dbt_change_type,\n source_data.*,\n {{ snapshot_get_time() }} as dbt_valid_from,\n {{ snapshot_get_time() }} as dbt_updated_at,\n {{ snapshot_get_time() }} as dbt_valid_to,\n snapshotted_data.dbt_scd_id\n\n from snapshotted_data\n left join deletes_source_data as source_data on snapshotted_data.dbt_unique_key = source_data.dbt_unique_key\n where source_data.dbt_unique_key is null\n )\n {%- endif %}\n\n select * from insertions\n union all\n select * from updates\n {%- if strategy.invalidate_hard_deletes %}\n union all\n select * from deletes\n {%- endif %}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6237535}, "macro.dbt.build_snapshot_table": {"unique_id": "macro.dbt.build_snapshot_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "build_snapshot_table", "macro_sql": "{% macro build_snapshot_table(strategy, sql) -%}\n {{ adapter.dispatch('build_snapshot_table', 'dbt')(strategy, sql) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__build_snapshot_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6243832}, "macro.dbt.default__build_snapshot_table": {"unique_id": "macro.dbt.default__build_snapshot_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "default__build_snapshot_table", "macro_sql": "{% macro default__build_snapshot_table(strategy, sql) %}\n\n select *,\n {{ strategy.scd_id }} as dbt_scd_id,\n {{ strategy.updated_at }} as dbt_updated_at,\n {{ strategy.updated_at }} as dbt_valid_from,\n nullif({{ strategy.updated_at }}, {{ strategy.updated_at }}) as dbt_valid_to\n from (\n {{ sql }}\n ) sbq\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6252797}, "macro.dbt.build_snapshot_staging_table": {"unique_id": "macro.dbt.build_snapshot_staging_table", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/helpers.sql", "original_file_path": "macros/materializations/snapshots/helpers.sql", "name": "build_snapshot_staging_table", "macro_sql": "{% macro build_snapshot_staging_table(strategy, sql, target_relation) %}\n {% set temp_relation = make_temp_relation(target_relation) %}\n\n {% set select = snapshot_staging_table(strategy, sql, target_relation) %}\n\n {% call statement('build_snapshot_staging_relation') %}\n {{ create_table_as(True, temp_relation, select) }}\n {% endcall %}\n\n {% do return(temp_relation) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.make_temp_relation", "macro.dbt.snapshot_staging_table", "macro.dbt.statement", "macro.dbt.create_table_as"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6266866}, "macro.dbt.snapshot_merge_sql": {"unique_id": "macro.dbt.snapshot_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "name": "snapshot_merge_sql", "macro_sql": "{% macro snapshot_merge_sql(target, source, insert_cols) -%}\n {{ adapter.dispatch('snapshot_merge_sql', 'dbt')(target, source, insert_cols) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__snapshot_merge_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.628257}, "macro.dbt.default__snapshot_merge_sql": {"unique_id": "macro.dbt.default__snapshot_merge_sql", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/snapshot_merge.sql", "original_file_path": "macros/materializations/snapshots/snapshot_merge.sql", "name": "default__snapshot_merge_sql", "macro_sql": "{% macro default__snapshot_merge_sql(target, source, insert_cols) -%}\n {%- set insert_cols_csv = insert_cols | join(', ') -%}\n\n merge into {{ target }} as DBT_INTERNAL_DEST\n using {{ source }} as DBT_INTERNAL_SOURCE\n on DBT_INTERNAL_SOURCE.dbt_scd_id = DBT_INTERNAL_DEST.dbt_scd_id\n\n when matched\n and DBT_INTERNAL_DEST.dbt_valid_to is null\n and DBT_INTERNAL_SOURCE.dbt_change_type in ('update', 'delete')\n then update\n set dbt_valid_to = DBT_INTERNAL_SOURCE.dbt_valid_to\n\n when not matched\n and DBT_INTERNAL_SOURCE.dbt_change_type = 'insert'\n then insert ({{ insert_cols_csv }})\n values ({{ insert_cols_csv }})\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6292489}, "macro.dbt.strategy_dispatch": {"unique_id": "macro.dbt.strategy_dispatch", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "strategy_dispatch", "macro_sql": "{% macro strategy_dispatch(name) -%}\n{% set original_name = name %}\n {% if '.' in name %}\n {% set package_name, name = name.split(\".\", 1) %}\n {% else %}\n {% set package_name = none %}\n {% endif %}\n\n {% if package_name is none %}\n {% set package_context = context %}\n {% elif package_name in context %}\n {% set package_context = context[package_name] %}\n {% else %}\n {% set error_msg %}\n Could not find package '{{package_name}}', called with '{{original_name}}'\n {% endset %}\n {{ exceptions.raise_compiler_error(error_msg | trim) }}\n {% endif %}\n\n {%- set search_name = 'snapshot_' ~ name ~ '_strategy' -%}\n\n {% if search_name not in package_context %}\n {% set error_msg %}\n The specified strategy macro '{{name}}' was not found in package '{{ package_name }}'\n {% endset %}\n {{ exceptions.raise_compiler_error(error_msg | trim) }}\n {% endif %}\n {{ return(package_context[search_name]) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6385872}, "macro.dbt.snapshot_hash_arguments": {"unique_id": "macro.dbt.snapshot_hash_arguments", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "snapshot_hash_arguments", "macro_sql": "{% macro snapshot_hash_arguments(args) -%}\n {{ adapter.dispatch('snapshot_hash_arguments', 'dbt')(args) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6391857}, "macro.dbt.default__snapshot_hash_arguments": {"unique_id": "macro.dbt.default__snapshot_hash_arguments", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "default__snapshot_hash_arguments", "macro_sql": "{% macro default__snapshot_hash_arguments(args) -%}\n md5({%- for arg in args -%}\n coalesce(cast({{ arg }} as varchar ), '')\n {% if not loop.last %} || '|' || {% endif %}\n {%- endfor -%})\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6399305}, "macro.dbt.snapshot_get_time": {"unique_id": "macro.dbt.snapshot_get_time", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "snapshot_get_time", "macro_sql": "{% macro snapshot_get_time() -%}\n {{ adapter.dispatch('snapshot_get_time', 'dbt')() }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__snapshot_get_time"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6404023}, "macro.dbt.default__snapshot_get_time": {"unique_id": "macro.dbt.default__snapshot_get_time", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "default__snapshot_get_time", "macro_sql": "{% macro default__snapshot_get_time() -%}\n {{ current_timestamp() }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6407342}, "macro.dbt.snapshot_timestamp_strategy": {"unique_id": "macro.dbt.snapshot_timestamp_strategy", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "snapshot_timestamp_strategy", "macro_sql": "{% macro snapshot_timestamp_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n {% set primary_key = config['unique_key'] %}\n {% set updated_at = config['updated_at'] %}\n {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n\n {#/*\n The snapshot relation might not have an {{ updated_at }} value if the\n snapshot strategy is changed from `check` to `timestamp`. We\n should use a dbt-created column for the comparison in the snapshot\n table instead of assuming that the user-supplied {{ updated_at }}\n will be present in the historical data.\n\n See https://github.com/dbt-labs/dbt-core/issues/2350\n */ #}\n {% set row_changed_expr -%}\n ({{ snapshotted_rel }}.dbt_valid_from < {{ current_rel }}.{{ updated_at }})\n {%- endset %}\n\n {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n {% do return({\n \"unique_key\": primary_key,\n \"updated_at\": updated_at,\n \"row_changed\": row_changed_expr,\n \"scd_id\": scd_id_expr,\n \"invalidate_hard_deletes\": invalidate_hard_deletes\n }) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6432478}, "macro.dbt.snapshot_string_as_time": {"unique_id": "macro.dbt.snapshot_string_as_time", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "snapshot_string_as_time", "macro_sql": "{% macro snapshot_string_as_time(timestamp) -%}\n {{ adapter.dispatch('snapshot_string_as_time', 'dbt')(timestamp) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_snowflake.snowflake__snapshot_string_as_time"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6438167}, "macro.dbt.default__snapshot_string_as_time": {"unique_id": "macro.dbt.default__snapshot_string_as_time", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "default__snapshot_string_as_time", "macro_sql": "{% macro default__snapshot_string_as_time(timestamp) %}\n {% do exceptions.raise_not_implemented(\n 'snapshot_string_as_time macro not implemented for adapter '+adapter.type()\n ) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6443937}, "macro.dbt.snapshot_check_all_get_existing_columns": {"unique_id": "macro.dbt.snapshot_check_all_get_existing_columns", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "snapshot_check_all_get_existing_columns", "macro_sql": "{% macro snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) -%}\n {%- if not target_exists -%}\n {#-- no table yet -> return whatever the query does --#}\n {{ return((false, query_columns)) }}\n {%- endif -%}\n\n {#-- handle any schema changes --#}\n {%- set target_relation = adapter.get_relation(database=node.database, schema=node.schema, identifier=node.alias) -%}\n\n {% if check_cols_config == 'all' %}\n {%- set query_columns = get_columns_in_query(node['compiled_sql']) -%}\n\n {% elif check_cols_config is iterable and (check_cols_config | length) > 0 %}\n {#-- query for proper casing/quoting, to support comparison below --#}\n {%- set select_check_cols_from_target -%}\n select {{ check_cols_config | join(', ') }} from ({{ node['compiled_sql'] }}) subq\n {%- endset -%}\n {% set query_columns = get_columns_in_query(select_check_cols_from_target) %}\n\n {% else %}\n {% do exceptions.raise_compiler_error(\"Invalid value for 'check_cols': \" ~ check_cols_config) %}\n {% endif %}\n\n {%- set existing_cols = adapter.get_columns_in_relation(target_relation) | map(attribute = 'name') | list -%}\n {%- set ns = namespace() -%} {#-- handle for-loop scoping with a namespace --#}\n {%- set ns.column_added = false -%}\n\n {%- set intersection = [] -%}\n {%- for col in query_columns -%}\n {%- if col in existing_cols -%}\n {%- do intersection.append(adapter.quote(col)) -%}\n {%- else -%}\n {% set ns.column_added = true %}\n {%- endif -%}\n {%- endfor -%}\n {{ return((ns.column_added, intersection)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_columns_in_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.648798}, "macro.dbt.snapshot_check_strategy": {"unique_id": "macro.dbt.snapshot_check_strategy", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/strategies.sql", "original_file_path": "macros/materializations/snapshots/strategies.sql", "name": "snapshot_check_strategy", "macro_sql": "{% macro snapshot_check_strategy(node, snapshotted_rel, current_rel, config, target_exists) %}\n {% set check_cols_config = config['check_cols'] %}\n {% set primary_key = config['unique_key'] %}\n {% set invalidate_hard_deletes = config.get('invalidate_hard_deletes', false) %}\n {% set updated_at = config.get('updated_at', snapshot_get_time()) %}\n\n {% set column_added = false %}\n\n {% set column_added, check_cols = snapshot_check_all_get_existing_columns(node, target_exists, check_cols_config) %}\n\n {%- set row_changed_expr -%}\n (\n {%- if column_added -%}\n {{ get_true_sql() }}\n {%- else -%}\n {%- for col in check_cols -%}\n {{ snapshotted_rel }}.{{ col }} != {{ current_rel }}.{{ col }}\n or\n (\n (({{ snapshotted_rel }}.{{ col }} is null) and not ({{ current_rel }}.{{ col }} is null))\n or\n ((not {{ snapshotted_rel }}.{{ col }} is null) and ({{ current_rel }}.{{ col }} is null))\n )\n {%- if not loop.last %} or {% endif -%}\n {%- endfor -%}\n {%- endif -%}\n )\n {%- endset %}\n\n {% set scd_id_expr = snapshot_hash_arguments([primary_key, updated_at]) %}\n\n {% do return({\n \"unique_key\": primary_key,\n \"updated_at\": updated_at,\n \"row_changed\": row_changed_expr,\n \"scd_id\": scd_id_expr,\n \"invalidate_hard_deletes\": invalidate_hard_deletes\n }) %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.snapshot_get_time", "macro.dbt.snapshot_check_all_get_existing_columns", "macro.dbt.get_true_sql", "macro.dbt.snapshot_hash_arguments"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6528866}, "macro.dbt.materialization_snapshot_default": {"unique_id": "macro.dbt.materialization_snapshot_default", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/materializations/snapshots/snapshot.sql", "original_file_path": "macros/materializations/snapshots/snapshot.sql", "name": "materialization_snapshot_default", "macro_sql": "{% materialization snapshot, default %}\n {%- set config = model['config'] -%}\n\n {%- set target_table = model.get('alias', model.get('name')) -%}\n\n {%- set strategy_name = config.get('strategy') -%}\n {%- set unique_key = config.get('unique_key') %}\n -- grab current tables grants config for comparision later on\n {%- set grant_config = config.get('grants') -%}\n\n {% set target_relation_exists, target_relation = get_or_create_relation(\n database=model.database,\n schema=model.schema,\n identifier=target_table,\n type='table') -%}\n\n {%- if not target_relation.is_table -%}\n {% do exceptions.relation_wrong_type(target_relation, 'table') %}\n {%- endif -%}\n\n\n {{ run_hooks(pre_hooks, inside_transaction=False) }}\n\n {{ run_hooks(pre_hooks, inside_transaction=True) }}\n\n {% set strategy_macro = strategy_dispatch(strategy_name) %}\n {% set strategy = strategy_macro(model, \"snapshotted_data\", \"source_data\", config, target_relation_exists) %}\n\n {% if not target_relation_exists %}\n\n {% set build_sql = build_snapshot_table(strategy, model['compiled_sql']) %}\n {% set final_sql = create_table_as(False, target_relation, build_sql) %}\n\n {% else %}\n\n {{ adapter.valid_snapshot_target(target_relation) }}\n\n {% set staging_table = build_snapshot_staging_table(strategy, sql, target_relation) %}\n\n -- this may no-op if the database does not require column expansion\n {% do adapter.expand_target_column_types(from_relation=staging_table,\n to_relation=target_relation) %}\n\n {% set missing_columns = adapter.get_missing_columns(staging_table, target_relation)\n | rejectattr('name', 'equalto', 'dbt_change_type')\n | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n | rejectattr('name', 'equalto', 'dbt_unique_key')\n | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n | list %}\n\n {% do create_columns(target_relation, missing_columns) %}\n\n {% set source_columns = adapter.get_columns_in_relation(staging_table)\n | rejectattr('name', 'equalto', 'dbt_change_type')\n | rejectattr('name', 'equalto', 'DBT_CHANGE_TYPE')\n | rejectattr('name', 'equalto', 'dbt_unique_key')\n | rejectattr('name', 'equalto', 'DBT_UNIQUE_KEY')\n | list %}\n\n {% set quoted_source_columns = [] %}\n {% for column in source_columns %}\n {% do quoted_source_columns.append(adapter.quote(column.name)) %}\n {% endfor %}\n\n {% set final_sql = snapshot_merge_sql(\n target = target_relation,\n source = staging_table,\n insert_cols = quoted_source_columns\n )\n %}\n\n {% endif %}\n\n {% call statement('main') %}\n {{ final_sql }}\n {% endcall %}\n\n {% set should_revoke = should_revoke(target_relation_exists, full_refresh_mode=False) %}\n {% do apply_grants(target_relation, grant_config, should_revoke=should_revoke) %}\n\n {% do persist_docs(target_relation, model) %}\n\n {% if not target_relation_exists %}\n {% do create_indexes(target_relation) %}\n {% endif %}\n\n {{ run_hooks(post_hooks, inside_transaction=True) }}\n\n {{ adapter.commit() }}\n\n {% if staging_table is defined %}\n {% do post_snapshot(staging_table) %}\n {% endif %}\n\n {{ run_hooks(post_hooks, inside_transaction=False) }}\n\n {{ return({'relations': [target_relation]}) }}\n\n{% endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.get_or_create_relation", "macro.dbt.run_hooks", "macro.dbt.strategy_dispatch", "macro.dbt.build_snapshot_table", "macro.dbt.create_table_as", "macro.dbt.build_snapshot_staging_table", "macro.dbt.create_columns", "macro.dbt.snapshot_merge_sql", "macro.dbt.statement", "macro.dbt.should_revoke", "macro.dbt.apply_grants", "macro.dbt.persist_docs", "macro.dbt.create_indexes", "macro.dbt.post_snapshot"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6760962}, "macro.dbt.generate_schema_name": {"unique_id": "macro.dbt.generate_schema_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "name": "generate_schema_name", "macro_sql": "{% macro generate_schema_name(custom_schema_name=none, node=none) -%}\n {{ return(adapter.dispatch('generate_schema_name', 'dbt')(custom_schema_name, node)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__generate_schema_name"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6805885}, "macro.dbt.default__generate_schema_name": {"unique_id": "macro.dbt.default__generate_schema_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "name": "default__generate_schema_name", "macro_sql": "{% macro default__generate_schema_name(custom_schema_name, node) -%}\n\n {%- set default_schema = target.schema -%}\n {%- if custom_schema_name is none -%}\n\n {{ default_schema }}\n\n {%- else -%}\n\n {{ default_schema }}_{{ custom_schema_name | trim }}\n\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.68225}, "macro.dbt.generate_schema_name_for_env": {"unique_id": "macro.dbt.generate_schema_name_for_env", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_schema.sql", "original_file_path": "macros/get_custom_name/get_custom_schema.sql", "name": "generate_schema_name_for_env", "macro_sql": "{% macro generate_schema_name_for_env(custom_schema_name, node) -%}\n\n {%- set default_schema = target.schema -%}\n {%- if target.name == 'prod' and custom_schema_name is not none -%}\n\n {{ custom_schema_name | trim }}\n\n {%- else -%}\n\n {{ default_schema }}\n\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6839614}, "macro.dbt.generate_database_name": {"unique_id": "macro.dbt.generate_database_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "name": "generate_database_name", "macro_sql": "{% macro generate_database_name(custom_database_name=none, node=none) -%}\n {% do return(adapter.dispatch('generate_database_name', 'dbt')(custom_database_name, node)) %}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__generate_database_name"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6865003}, "macro.dbt.default__generate_database_name": {"unique_id": "macro.dbt.default__generate_database_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_database.sql", "original_file_path": "macros/get_custom_name/get_custom_database.sql", "name": "default__generate_database_name", "macro_sql": "{% macro default__generate_database_name(custom_database_name=none, node=none) -%}\n {%- set default_database = target.database -%}\n {%- if custom_database_name is none -%}\n\n {{ default_database }}\n\n {%- else -%}\n\n {{ custom_database_name }}\n\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6879945}, "macro.dbt.generate_alias_name": {"unique_id": "macro.dbt.generate_alias_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "name": "generate_alias_name", "macro_sql": "{% macro generate_alias_name(custom_alias_name=none, node=none) -%}\n {% do return(adapter.dispatch('generate_alias_name', 'dbt')(custom_alias_name, node)) %}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__generate_alias_name"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6905982}, "macro.dbt.default__generate_alias_name": {"unique_id": "macro.dbt.default__generate_alias_name", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "macros/get_custom_name/get_custom_alias.sql", "original_file_path": "macros/get_custom_name/get_custom_alias.sql", "name": "default__generate_alias_name", "macro_sql": "{% macro default__generate_alias_name(custom_alias_name=none, node=none) -%}\n\n {%- if custom_alias_name is none -%}\n\n {{ node.name }}\n\n {%- else -%}\n\n {{ custom_alias_name | trim }}\n\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.692043}, "macro.dbt.test_unique": {"unique_id": "macro.dbt.test_unique", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "name": "test_unique", "macro_sql": "{% test unique(model, column_name) %}\n {% set macro = adapter.dispatch('test_unique', 'dbt') %}\n {{ macro(model, column_name) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__test_unique"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6940858}, "macro.dbt.test_not_null": {"unique_id": "macro.dbt.test_not_null", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "name": "test_not_null", "macro_sql": "{% test not_null(model, column_name) %}\n {% set macro = adapter.dispatch('test_not_null', 'dbt') %}\n {{ macro(model, column_name) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__test_not_null"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6949058}, "macro.dbt.test_accepted_values": {"unique_id": "macro.dbt.test_accepted_values", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "name": "test_accepted_values", "macro_sql": "{% test accepted_values(model, column_name, values, quote=True) %}\n {% set macro = adapter.dispatch('test_accepted_values', 'dbt') %}\n {{ macro(model, column_name, values, quote) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__test_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6959174}, "macro.dbt.test_relationships": {"unique_id": "macro.dbt.test_relationships", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "tests/generic/builtin.sql", "original_file_path": "tests/generic/builtin.sql", "name": "test_relationships", "macro_sql": "{% test relationships(model, column_name, to, field) %}\n {% set macro = adapter.dispatch('test_relationships', 'dbt') %}\n {{ macro(model, column_name, to, field) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.default__test_relationships"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.6968157}, "macro.dbt_utils.get_period_boundaries": {"unique_id": "macro.dbt_utils.get_period_boundaries", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/materializations/insert_by_period_materialization.sql", "original_file_path": "macros/materializations/insert_by_period_materialization.sql", "name": "get_period_boundaries", "macro_sql": "{% macro get_period_boundaries(target_schema, target_table, timestamp_field, start_date, stop_date, period) -%}\n {{ return(adapter.dispatch('get_period_boundaries', 'dbt_utils')(target_schema, target_table, timestamp_field, start_date, stop_date, period)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_period_boundaries"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7102604}, "macro.dbt_utils.default__get_period_boundaries": {"unique_id": "macro.dbt_utils.default__get_period_boundaries", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/materializations/insert_by_period_materialization.sql", "original_file_path": "macros/materializations/insert_by_period_materialization.sql", "name": "default__get_period_boundaries", "macro_sql": "{% macro default__get_period_boundaries(target_schema, target_table, timestamp_field, start_date, stop_date, period) -%}\n\n {% call statement('period_boundaries', fetch_result=True) -%}\n with data as (\n select\n coalesce(max(\"{{timestamp_field}}\"), '{{start_date}}')::timestamp as start_timestamp,\n coalesce(\n {{dbt_utils.dateadd('millisecond',\n -1,\n \"nullif('\" ~ stop_date ~ \"','')::timestamp\")}},\n {{dbt_utils.current_timestamp()}}\n ) as stop_timestamp\n from \"{{target_schema}}\".\"{{target_table}}\"\n )\n\n select\n start_timestamp,\n stop_timestamp,\n {{dbt_utils.datediff('start_timestamp',\n 'stop_timestamp',\n period)}} + 1 as num_periods\n from data\n {%- endcall %}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.dateadd", "macro.dbt_utils.current_timestamp", "macro.dbt_utils.datediff"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.712099}, "macro.dbt_utils.get_period_sql": {"unique_id": "macro.dbt_utils.get_period_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/materializations/insert_by_period_materialization.sql", "original_file_path": "macros/materializations/insert_by_period_materialization.sql", "name": "get_period_sql", "macro_sql": "{% macro get_period_sql(target_cols_csv, sql, timestamp_field, period, start_timestamp, stop_timestamp, offset) -%}\n {{ return(adapter.dispatch('get_period_sql', 'dbt_utils')(target_cols_csv, sql, timestamp_field, period, start_timestamp, stop_timestamp, offset)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_period_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7131276}, "macro.dbt_utils.default__get_period_sql": {"unique_id": "macro.dbt_utils.default__get_period_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/materializations/insert_by_period_materialization.sql", "original_file_path": "macros/materializations/insert_by_period_materialization.sql", "name": "default__get_period_sql", "macro_sql": "{% macro default__get_period_sql(target_cols_csv, sql, timestamp_field, period, start_timestamp, stop_timestamp, offset) -%}\n\n {%- set period_filter -%}\n (\"{{timestamp_field}}\" > '{{start_timestamp}}'::timestamp + interval '{{offset}} {{period}}' and\n \"{{timestamp_field}}\" <= '{{start_timestamp}}'::timestamp + interval '{{offset}} {{period}}' + interval '1 {{period}}' and\n \"{{timestamp_field}}\" < '{{stop_timestamp}}'::timestamp)\n {%- endset -%}\n\n {%- set filtered_sql = sql | replace(\"__PERIOD_FILTER__\", period_filter) -%}\n\n select\n {{target_cols_csv}}\n from (\n {{filtered_sql}}\n )\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7149177}, "macro.dbt_utils.materialization_insert_by_period_default": {"unique_id": "macro.dbt_utils.materialization_insert_by_period_default", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/materializations/insert_by_period_materialization.sql", "original_file_path": "macros/materializations/insert_by_period_materialization.sql", "name": "materialization_insert_by_period_default", "macro_sql": "{% materialization insert_by_period, default -%}\n {%- set timestamp_field = config.require('timestamp_field') -%}\n {%- set start_date = config.require('start_date') -%}\n {%- set stop_date = config.get('stop_date') or '' -%}}\n {%- set period = config.get('period') or 'week' -%}\n\n {%- if sql.find('__PERIOD_FILTER__') == -1 -%}\n {%- set error_message -%}\n Model '{{ model.unique_id }}' does not include the required string '__PERIOD_FILTER__' in its sql\n {%- endset -%}\n {{ exceptions.raise_compiler_error(error_message) }}\n {%- endif -%}\n\n {%- set identifier = model['name'] -%}\n\n {%- set old_relation = adapter.get_relation(database=database, schema=schema, identifier=identifier) -%}\n {%- set target_relation = api.Relation.create(identifier=identifier, schema=schema, type='table') -%}\n\n {%- set non_destructive_mode = (flags.NON_DESTRUCTIVE == True) -%}\n {%- set full_refresh_mode = (flags.FULL_REFRESH == True) -%}\n\n {%- set exists_as_table = (old_relation is not none and old_relation.is_table) -%}\n {%- set exists_not_as_table = (old_relation is not none and not old_relation.is_table) -%}\n\n {%- set should_truncate = (non_destructive_mode and full_refresh_mode and exists_as_table) -%}\n {%- set should_drop = (not should_truncate and (full_refresh_mode or exists_not_as_table)) -%}\n {%- set force_create = (flags.FULL_REFRESH and not flags.NON_DESTRUCTIVE) -%}\n\n -- setup\n {% if old_relation is none -%}\n -- noop\n {%- elif should_truncate -%}\n {{adapter.truncate_relation(old_relation)}}\n {%- elif should_drop -%}\n {{adapter.drop_relation(old_relation)}}\n {%- set old_relation = none -%}\n {%- endif %}\n\n {{run_hooks(pre_hooks, inside_transaction=False)}}\n\n -- `begin` happens here, so `commit` after it to finish the transaction\n {{run_hooks(pre_hooks, inside_transaction=True)}}\n {% call statement() -%}\n begin; -- make extra sure we've closed out the transaction\n commit;\n {%- endcall %}\n\n -- build model\n {% if force_create or old_relation is none -%}\n {# Create an empty target table -#}\n {% call statement('main') -%}\n {%- set empty_sql = sql | replace(\"__PERIOD_FILTER__\", 'false') -%}\n {{create_table_as(False, target_relation, empty_sql)}}\n {%- endcall %}\n {%- endif %}\n\n {% set _ = dbt_utils.get_period_boundaries(schema,\n identifier,\n timestamp_field,\n start_date,\n stop_date,\n period) %}\n {%- set start_timestamp = load_result('period_boundaries')['data'][0][0] | string -%}\n {%- set stop_timestamp = load_result('period_boundaries')['data'][0][1] | string -%}\n {%- set num_periods = load_result('period_boundaries')['data'][0][2] | int -%}\n\n {% set target_columns = adapter.get_columns_in_relation(target_relation) %}\n {%- set target_cols_csv = target_columns | map(attribute='quoted') | join(', ') -%}\n {%- set loop_vars = {'sum_rows_inserted': 0} -%}\n\n -- commit each period as a separate transaction\n {% for i in range(num_periods) -%}\n {%- set msg = \"Running for \" ~ period ~ \" \" ~ (i + 1) ~ \" of \" ~ (num_periods) -%}\n {{ dbt_utils.log_info(msg) }}\n\n {%- set tmp_identifier = model['name'] ~ '__dbt_incremental_period' ~ i ~ '_tmp' -%}\n {%- set tmp_relation = api.Relation.create(identifier=tmp_identifier,\n schema=schema, type='table') -%}\n {% call statement() -%}\n {% set tmp_table_sql = dbt_utils.get_period_sql(target_cols_csv,\n sql,\n timestamp_field,\n period,\n start_timestamp,\n stop_timestamp,\n i) %}\n {{dbt.create_table_as(True, tmp_relation, tmp_table_sql)}}\n {%- endcall %}\n\n {{adapter.expand_target_column_types(from_relation=tmp_relation,\n to_relation=target_relation)}}\n {%- set name = 'main-' ~ i -%}\n {% call statement(name, fetch_result=True) -%}\n insert into {{target_relation}} ({{target_cols_csv}})\n (\n select\n {{target_cols_csv}}\n from {{tmp_relation.include(schema=False)}}\n );\n {%- endcall %}\n {% set result = load_result('main-' ~ i) %}\n {% if 'response' in result.keys() %} {# added in v0.19.0 #}\n {% set rows_inserted = result['response']['rows_affected'] %}\n {% else %} {# older versions #}\n {% set rows_inserted = result['status'].split(\" \")[2] | int %}\n {% endif %}\n \n {%- set sum_rows_inserted = loop_vars['sum_rows_inserted'] + rows_inserted -%}\n {%- if loop_vars.update({'sum_rows_inserted': sum_rows_inserted}) %} {% endif -%}\n\n {%- set msg = \"Ran for \" ~ period ~ \" \" ~ (i + 1) ~ \" of \" ~ (num_periods) ~ \"; \" ~ rows_inserted ~ \" records inserted\" -%}\n {{ dbt_utils.log_info(msg) }}\n\n {%- endfor %}\n\n {% call statement() -%}\n begin;\n {%- endcall %}\n\n {{run_hooks(post_hooks, inside_transaction=True)}}\n\n {% call statement() -%}\n commit;\n {%- endcall %}\n\n {{run_hooks(post_hooks, inside_transaction=False)}}\n\n {%- set status_string = \"INSERT \" ~ loop_vars['sum_rows_inserted'] -%}\n\n {% call noop_statement('main', status_string) -%}\n -- no-op\n {%- endcall %}\n\n -- Return the relations created in this materialization\n {{ return({'relations': [target_relation]}) }} \n\n{%- endmaterialization %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_hooks", "macro.dbt.statement", "macro.dbt.create_table_as", "macro.dbt_utils.get_period_boundaries", "macro.dbt_utils.log_info", "macro.dbt_utils.get_period_sql", "macro.dbt.noop_statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7311916}, "macro.dbt_utils.log_info": {"unique_id": "macro.dbt_utils.log_info", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "name": "log_info", "macro_sql": "{% macro log_info(message) %}\n {{ return(adapter.dispatch('log_info', 'dbt_utils')(message)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__log_info"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.732467}, "macro.dbt_utils.default__log_info": {"unique_id": "macro.dbt_utils.default__log_info", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/log_info.sql", "original_file_path": "macros/jinja_helpers/log_info.sql", "name": "default__log_info", "macro_sql": "{% macro default__log_info(message) %}\n {{ log(dbt_utils.pretty_log_format(message), info=True) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7330182}, "macro.dbt_utils.pretty_log_format": {"unique_id": "macro.dbt_utils.pretty_log_format", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "name": "pretty_log_format", "macro_sql": "{% macro pretty_log_format(message) %}\n {{ return(adapter.dispatch('pretty_log_format', 'dbt_utils')(message)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__pretty_log_format"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7344913}, "macro.dbt_utils.default__pretty_log_format": {"unique_id": "macro.dbt_utils.default__pretty_log_format", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/pretty_log_format.sql", "original_file_path": "macros/jinja_helpers/pretty_log_format.sql", "name": "default__pretty_log_format", "macro_sql": "{% macro default__pretty_log_format(message) %}\n {{ return( dbt_utils.pretty_time() ~ ' + ' ~ message) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7354198}, "macro.dbt_utils.slugify": {"unique_id": "macro.dbt_utils.slugify", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/slugify.sql", "original_file_path": "macros/jinja_helpers/slugify.sql", "name": "slugify", "macro_sql": "{% macro slugify(string) %}\n\n{#- Lower case the string -#}\n{% set string = string | lower %}\n{#- Replace spaces and dashes with underscores -#}\n{% set string = modules.re.sub('[ -]+', '_', string) %}\n{#- Only take letters, numbers, and underscores -#}\n{% set string = modules.re.sub('[^a-z0-9_]+', '', string) %}\n\n{{ return(string) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7371826}, "macro.dbt_utils.pretty_time": {"unique_id": "macro.dbt_utils.pretty_time", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "name": "pretty_time", "macro_sql": "{% macro pretty_time(format='%H:%M:%S') %}\n {{ return(adapter.dispatch('pretty_time', 'dbt_utils')(format)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__pretty_time"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7383773}, "macro.dbt_utils.default__pretty_time": {"unique_id": "macro.dbt_utils.default__pretty_time", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/jinja_helpers/pretty_time.sql", "original_file_path": "macros/jinja_helpers/pretty_time.sql", "name": "default__pretty_time", "macro_sql": "{% macro default__pretty_time(format='%H:%M:%S') %}\n {{ return(modules.datetime.datetime.now().strftime(format)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7389843}, "macro.dbt_utils.group_by": {"unique_id": "macro.dbt_utils.group_by", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "name": "group_by", "macro_sql": "{%- macro group_by(n) -%}\n {{ return(adapter.dispatch('group_by', 'dbt_utils')(n)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__group_by"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7400784}, "macro.dbt_utils.default__group_by": {"unique_id": "macro.dbt_utils.default__group_by", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/groupby.sql", "original_file_path": "macros/sql/groupby.sql", "name": "default__group_by", "macro_sql": "\n\n{%- macro default__group_by(n) -%}\n\n group by {% for i in range(1, n + 1) -%}\n {{ i }}{{ ',' if not loop.last }} \n {%- endfor -%}\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7408507}, "macro.dbt_utils.safe_add": {"unique_id": "macro.dbt_utils.safe_add", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "name": "safe_add", "macro_sql": "{%- macro safe_add() -%}\n {# needed for safe_add to allow for non-keyword arguments see SO post #}\n {# https://stackoverflow.com/questions/13944751/args-kwargs-in-jinja2-macros #}\n {% set frustrating_jinja_feature = varargs %}\n {{ return(adapter.dispatch('safe_add', 'dbt_utils')(*varargs)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__safe_add"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.742226}, "macro.dbt_utils.default__safe_add": {"unique_id": "macro.dbt_utils.default__safe_add", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/safe_add.sql", "original_file_path": "macros/sql/safe_add.sql", "name": "default__safe_add", "macro_sql": "\n\n{%- macro default__safe_add() -%}\n\n{% set fields = [] %}\n\n{%- for field in varargs -%}\n\n {% do fields.append(\"coalesce(\" ~ field ~ \", 0)\") %}\n\n{%- endfor -%}\n\n{{ fields|join(' +\\n ') }}\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7431362}, "macro.dbt_utils.pivot": {"unique_id": "macro.dbt_utils.pivot", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "name": "pivot", "macro_sql": "{% macro pivot(column,\n values,\n alias=True,\n agg='sum',\n cmp='=',\n prefix='',\n suffix='',\n then_value=1,\n else_value=0,\n quote_identifiers=True,\n distinct=False) %}\n {{ return(adapter.dispatch('pivot', 'dbt_utils')(column, values, alias, agg, cmp, prefix, suffix, then_value, else_value, quote_identifiers, distinct)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__pivot"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7467928}, "macro.dbt_utils.default__pivot": {"unique_id": "macro.dbt_utils.default__pivot", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/pivot.sql", "original_file_path": "macros/sql/pivot.sql", "name": "default__pivot", "macro_sql": "{% macro default__pivot(column,\n values,\n alias=True,\n agg='sum',\n cmp='=',\n prefix='',\n suffix='',\n then_value=1,\n else_value=0,\n quote_identifiers=True,\n distinct=False) %}\n {% for v in values %}\n {{ agg }}(\n {% if distinct %} distinct {% endif %}\n case\n when {{ column }} {{ cmp }} '{{ v }}'\n then {{ then_value }}\n else {{ else_value }}\n end\n )\n {% if alias %}\n {% if quote_identifiers %}\n as {{ adapter.quote(prefix ~ v ~ suffix) }}\n {% else %}\n as {{ dbt_utils.slugify(prefix ~ v ~ suffix) }}\n {% endif %}\n {% endif %}\n {% if not loop.last %},{% endif %}\n {% endfor %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.slugify"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7495553}, "macro.dbt_utils.unpivot": {"unique_id": "macro.dbt_utils.unpivot", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "name": "unpivot", "macro_sql": "{% macro unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value', table=none) -%}\n {{ return(adapter.dispatch('unpivot', 'dbt_utils')(relation, cast_to, exclude, remove, field_name, value_name, table)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__unpivot"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.754302}, "macro.dbt_utils.default__unpivot": {"unique_id": "macro.dbt_utils.default__unpivot", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/unpivot.sql", "original_file_path": "macros/sql/unpivot.sql", "name": "default__unpivot", "macro_sql": "{% macro default__unpivot(relation=none, cast_to='varchar', exclude=none, remove=none, field_name='field_name', value_name='value', table=none) -%}\n\n {% if table %}\n {%- set error_message = '\n Warning: the `unpivot` macro no longer accepts a `table` parameter. \\\n This parameter will be deprecated in a future release of dbt-utils. Use the `relation` parameter instead. \\\n The {}.{} model triggered this warning. \\\n '.format(model.package_name, model.name) -%}\n {%- do exceptions.warn(error_message) -%}\n {% endif %}\n\n {% if relation and table %}\n {{ exceptions.raise_compiler_error(\"Error: both the `relation` and `table` parameters were provided to `unpivot` macro. Choose one only (we recommend `relation`).\") }}\n {% elif not relation and table %}\n {% set relation=table %}\n {% elif not relation and not table %}\n {{ exceptions.raise_compiler_error(\"Error: argument `relation` is required for `unpivot` macro.\") }}\n {% endif %}\n\n {%- set exclude = exclude if exclude is not none else [] %}\n {%- set remove = remove if remove is not none else [] %}\n\n {%- set include_cols = [] %}\n\n {%- set table_columns = {} %}\n\n {%- do table_columns.update({relation: []}) %}\n\n {%- do dbt_utils._is_relation(relation, 'unpivot') -%}\n {%- do dbt_utils._is_ephemeral(relation, 'unpivot') -%}\n {%- set cols = adapter.get_columns_in_relation(relation) %}\n\n {%- for col in cols -%}\n {%- if col.column.lower() not in remove|map('lower') and col.column.lower() not in exclude|map('lower') -%}\n {% do include_cols.append(col) %}\n {%- endif %}\n {%- endfor %}\n\n\n {%- for col in include_cols -%}\n select\n {%- for exclude_col in exclude %}\n {{ exclude_col }},\n {%- endfor %}\n\n cast('{{ col.column }}' as {{ dbt_utils.type_string() }}) as {{ field_name }},\n cast( {% if col.data_type == 'boolean' %}\n {{ dbt_utils.cast_bool_to_text(col.column) }}\n {% else %}\n {{ col.column }}\n {% endif %}\n as {{ cast_to }}) as {{ value_name }}\n\n from {{ relation }}\n\n {% if not loop.last -%}\n union all\n {% endif -%}\n {%- endfor -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.type_string", "macro.dbt_utils.cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7614021}, "macro.dbt_utils.get_relations_by_prefix": {"unique_id": "macro.dbt_utils.get_relations_by_prefix", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "name": "get_relations_by_prefix", "macro_sql": "{% macro get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n {{ return(adapter.dispatch('get_relations_by_prefix', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_prefix"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7635672}, "macro.dbt_utils.default__get_relations_by_prefix": {"unique_id": "macro.dbt_utils.default__get_relations_by_prefix", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_relations_by_prefix.sql", "original_file_path": "macros/sql/get_relations_by_prefix.sql", "name": "default__get_relations_by_prefix", "macro_sql": "{% macro default__get_relations_by_prefix(schema, prefix, exclude='', database=target.database) %}\n\n {%- call statement('get_tables', fetch_result=True) %}\n\n {{ dbt_utils.get_tables_by_prefix_sql(schema, prefix, exclude, database) }}\n\n {%- endcall -%}\n\n {%- set table_list = load_result('get_tables') -%}\n\n {%- if table_list and table_list['table'] -%}\n {%- set tbl_relations = [] -%}\n {%- for row in table_list['table'] -%}\n {%- set tbl_relation = api.Relation.create(\n database=database,\n schema=row.table_schema,\n identifier=row.table_name,\n type=row.table_type\n ) -%}\n {%- do tbl_relations.append(tbl_relation) -%}\n {%- endfor -%}\n\n {{ return(tbl_relations) }}\n {%- else -%}\n {{ return([]) }}\n {%- endif -%}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7661614}, "macro.dbt_utils.nullcheck_table": {"unique_id": "macro.dbt_utils.nullcheck_table", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "name": "nullcheck_table", "macro_sql": "{% macro nullcheck_table(relation) %}\n {{ return(adapter.dispatch('nullcheck_table', 'dbt_utils')(relation)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck_table"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7673457}, "macro.dbt_utils.default__nullcheck_table": {"unique_id": "macro.dbt_utils.default__nullcheck_table", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/nullcheck_table.sql", "original_file_path": "macros/sql/nullcheck_table.sql", "name": "default__nullcheck_table", "macro_sql": "{% macro default__nullcheck_table(relation) %}\n\n {%- do dbt_utils._is_relation(relation, 'nullcheck_table') -%}\n {%- do dbt_utils._is_ephemeral(relation, 'nullcheck_table') -%}\n {% set cols = adapter.get_columns_in_relation(relation) %}\n\n select {{ dbt_utils.nullcheck(cols) }}\n from {{relation}}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7686653}, "macro.dbt_utils.degrees_to_radians": {"unique_id": "macro.dbt_utils.degrees_to_radians", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "name": "degrees_to_radians", "macro_sql": "{% macro degrees_to_radians(degrees) -%}\n acos(-1) * {{degrees}} / 180\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7715662}, "macro.dbt_utils.haversine_distance": {"unique_id": "macro.dbt_utils.haversine_distance", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "name": "haversine_distance", "macro_sql": "{% macro haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n {{ return(adapter.dispatch('haversine_distance', 'dbt_utils')(lat1,lon1,lat2,lon2,unit)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__haversine_distance"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.772441}, "macro.dbt_utils.default__haversine_distance": {"unique_id": "macro.dbt_utils.default__haversine_distance", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "name": "default__haversine_distance", "macro_sql": "{% macro default__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{%- if unit == 'mi' %}\n {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n {% set conversion_rate = 1.60934 %}\n{% else %}\n {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n\n 2 * 3961 * asin(sqrt(power((sin(radians(({{ lat2 }} - {{ lat1 }}) / 2))), 2) +\n cos(radians({{lat1}})) * cos(radians({{lat2}})) *\n power((sin(radians(({{ lon2 }} - {{ lon1 }}) / 2))), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7742372}, "macro.dbt_utils.bigquery__haversine_distance": {"unique_id": "macro.dbt_utils.bigquery__haversine_distance", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/haversine_distance.sql", "original_file_path": "macros/sql/haversine_distance.sql", "name": "bigquery__haversine_distance", "macro_sql": "{% macro bigquery__haversine_distance(lat1, lon1, lat2, lon2, unit='mi') -%}\n{% set radians_lat1 = dbt_utils.degrees_to_radians(lat1) %}\n{% set radians_lat2 = dbt_utils.degrees_to_radians(lat2) %}\n{% set radians_lon1 = dbt_utils.degrees_to_radians(lon1) %}\n{% set radians_lon2 = dbt_utils.degrees_to_radians(lon2) %}\n{%- if unit == 'mi' %}\n {% set conversion_rate = 1 %}\n{% elif unit == 'km' %}\n {% set conversion_rate = 1.60934 %}\n{% else %}\n {{ exceptions.raise_compiler_error(\"unit input must be one of 'mi' or 'km'. Got \" ~ unit) }}\n{% endif %}\n 2 * 3961 * asin(sqrt(power(sin(({{ radians_lat2 }} - {{ radians_lat1 }}) / 2), 2) +\n cos({{ radians_lat1 }}) * cos({{ radians_lat2 }}) *\n power(sin(({{ radians_lon2 }} - {{ radians_lon1 }}) / 2), 2))) * {{ conversion_rate }}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.degrees_to_radians"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7767234}, "macro.dbt_utils.nullcheck": {"unique_id": "macro.dbt_utils.nullcheck", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "name": "nullcheck", "macro_sql": "{% macro nullcheck(cols) %}\n {{ return(adapter.dispatch('nullcheck', 'dbt_utils')(cols)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__nullcheck"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.778108}, "macro.dbt_utils.default__nullcheck": {"unique_id": "macro.dbt_utils.default__nullcheck", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/nullcheck.sql", "original_file_path": "macros/sql/nullcheck.sql", "name": "default__nullcheck", "macro_sql": "{% macro default__nullcheck(cols) %}\n{%- for col in cols %}\n\n {% if col.is_string() -%}\n\n nullif({{col.name}},'') as {{col.name}}\n\n {%- else -%}\n\n {{col.name}}\n\n {%- endif -%}\n\n{%- if not loop.last -%} , {%- endif -%}\n\n{%- endfor -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7792943}, "macro.dbt_utils.get_tables_by_pattern_sql": {"unique_id": "macro.dbt_utils.get_tables_by_pattern_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "name": "get_tables_by_pattern_sql", "macro_sql": "{% macro get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n {{ return(adapter.dispatch('get_tables_by_pattern_sql', 'dbt_utils')\n (schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7837849}, "macro.dbt_utils.default__get_tables_by_pattern_sql": {"unique_id": "macro.dbt_utils.default__get_tables_by_pattern_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "name": "default__get_tables_by_pattern_sql", "macro_sql": "{% macro default__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n select distinct\n table_schema as \"table_schema\",\n table_name as \"table_name\",\n case table_type\n when 'BASE TABLE' then 'table'\n when 'EXTERNAL TABLE' then 'external'\n when 'MATERIALIZED VIEW' then 'materializedview'\n else lower(table_type)\n end as \"table_type\"\n from {{ database }}.information_schema.tables\n where table_schema ilike '{{ schema_pattern }}'\n and table_name ilike '{{ table_pattern }}'\n and table_name not ilike '{{ exclude }}'\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.784593}, "macro.dbt_utils.bigquery__get_tables_by_pattern_sql": {"unique_id": "macro.dbt_utils.bigquery__get_tables_by_pattern_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "name": "bigquery__get_tables_by_pattern_sql", "macro_sql": "{% macro bigquery__get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n {% if '%' in schema_pattern %}\n {% set schemata=dbt_utils._bigquery__get_matching_schemata(schema_pattern, database) %}\n {% else %}\n {% set schemata=[schema_pattern] %}\n {% endif %}\n\n {% set sql %}\n {% for schema in schemata %}\n select distinct\n table_schema,\n table_name,\n case table_type\n when 'BASE TABLE' then 'table'\n else lower(table_type)\n end as table_type\n\n from {{ adapter.quote(database) }}.{{ schema }}.INFORMATION_SCHEMA.TABLES\n where lower(table_name) like lower ('{{ table_pattern }}')\n and lower(table_name) not like lower ('{{ exclude }}')\n\n {% if not loop.last %} union all {% endif %}\n\n {% endfor %}\n {% endset %}\n\n {{ return(sql) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils._bigquery__get_matching_schemata"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7870324}, "macro.dbt_utils._bigquery__get_matching_schemata": {"unique_id": "macro.dbt_utils._bigquery__get_matching_schemata", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_tables_by_pattern_sql.sql", "original_file_path": "macros/sql/get_tables_by_pattern_sql.sql", "name": "_bigquery__get_matching_schemata", "macro_sql": "{% macro _bigquery__get_matching_schemata(schema_pattern, database) %}\n {% if execute %}\n\n {% set sql %}\n select schema_name from {{ adapter.quote(database) }}.INFORMATION_SCHEMA.SCHEMATA\n where lower(schema_name) like lower('{{ schema_pattern }}')\n {% endset %}\n\n {% set results=run_query(sql) %}\n\n {% set schemata=results.columns['schema_name'].values() %}\n\n {{ return(schemata) }}\n\n {% else %}\n\n {{ return([]) }}\n\n {% endif %}\n\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.run_query"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7887638}, "macro.dbt_utils.get_column_values": {"unique_id": "macro.dbt_utils.get_column_values", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "name": "get_column_values", "macro_sql": "{% macro get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none) -%}\n {{ return(adapter.dispatch('get_column_values', 'dbt_utils')(table, column, order_by, max_records, default)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_column_values"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7920368}, "macro.dbt_utils.default__get_column_values": {"unique_id": "macro.dbt_utils.default__get_column_values", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_column_values.sql", "original_file_path": "macros/sql/get_column_values.sql", "name": "default__get_column_values", "macro_sql": "{% macro default__get_column_values(table, column, order_by='count(*) desc', max_records=none, default=none) -%}\n{% if default is none %}\n {% set default = [] %}\n{% endif %}\n {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n {%- if not execute -%}\n {{ return(default) }}\n {% endif %}\n\n {# Not all relations are tables. Renaming for internal clarity without breaking functionality for anyone using named arguments #}\n {# TODO: Change the method signature in a future 0.x.0 release #}\n {%- set target_relation = table -%}\n\n {# adapter.load_relation is a convenience wrapper to avoid building a Relation when we already have one #}\n {% set relation_exists = (load_relation(target_relation)) is not none %}\n\n {%- call statement('get_column_values', fetch_result=true) %}\n\n {%- if not relation_exists and default is none -%}\n\n {{ exceptions.raise_compiler_error(\"In get_column_values(): relation \" ~ target_relation ~ \" does not exist and no default value was provided.\") }}\n\n {%- elif not relation_exists and default is not none -%}\n\n {{ log(\"Relation \" ~ target_relation ~ \" does not exist. Returning the default value: \" ~ default) }}\n\n {{ return(default) }}\n\n {%- else -%}\n\n\n select\n {{ column }} as value\n\n from {{ target_relation }}\n group by {{ column }}\n order by {{ order_by }}\n\n {% if max_records is not none %}\n limit {{ max_records }}\n {% endif %}\n\n {% endif %}\n\n {%- endcall -%}\n\n {%- set value_list = load_result('get_column_values') -%}\n\n {%- if value_list and value_list['data'] -%}\n {%- set values = value_list['data'] | map(attribute=0) | list %}\n {{ return(values) }}\n {%- else -%}\n {{ return(default) }}\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.load_relation", "macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.7981906}, "macro.dbt_utils.union_relations": {"unique_id": "macro.dbt_utils.union_relations", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "name": "union_relations", "macro_sql": "{%- macro union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation') -%}\n {{ return(adapter.dispatch('union_relations', 'dbt_utils')(relations, column_override, include, exclude, source_column_name)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__union_relations"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8024406}, "macro.dbt_utils.default__union_relations": {"unique_id": "macro.dbt_utils.default__union_relations", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/union.sql", "original_file_path": "macros/sql/union.sql", "name": "default__union_relations", "macro_sql": "\n\n{%- macro default__union_relations(relations, column_override=none, include=[], exclude=[], source_column_name='_dbt_source_relation') -%}\n\n {%- if exclude and include -%}\n {{ exceptions.raise_compiler_error(\"Both an exclude and include list were provided to the `union` macro. Only one is allowed\") }}\n {%- endif -%}\n\n {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. -#}\n {%- if not execute %}\n {{ return('') }}\n {% endif -%}\n\n {%- set column_override = column_override if column_override is not none else {} -%}\n\n {%- set relation_columns = {} -%}\n {%- set column_superset = {} -%}\n\n {%- for relation in relations -%}\n\n {%- do relation_columns.update({relation: []}) -%}\n\n {%- do dbt_utils._is_relation(relation, 'union_relations') -%}\n {%- do dbt_utils._is_ephemeral(relation, 'union_relations') -%}\n {%- set cols = adapter.get_columns_in_relation(relation) -%}\n {%- for col in cols -%}\n\n {#- If an exclude list was provided and the column is in the list, do nothing -#}\n {%- if exclude and col.column in exclude -%}\n\n {#- If an include list was provided and the column is not in the list, do nothing -#}\n {%- elif include and col.column not in include -%}\n\n {#- Otherwise add the column to the column superset -#}\n {%- else -%}\n\n {#- update the list of columns in this relation -#}\n {%- do relation_columns[relation].append(col.column) -%}\n\n {%- if col.column in column_superset -%}\n\n {%- set stored = column_superset[col.column] -%}\n {%- if col.is_string() and stored.is_string() and col.string_size() > stored.string_size() -%}\n\n {%- do column_superset.update({col.column: col}) -%}\n\n {%- endif %}\n\n {%- else -%}\n\n {%- do column_superset.update({col.column: col}) -%}\n\n {%- endif -%}\n\n {%- endif -%}\n\n {%- endfor -%}\n {%- endfor -%}\n\n {%- set ordered_column_names = column_superset.keys() -%}\n\n {%- for relation in relations %}\n\n (\n select\n\n cast({{ dbt_utils.string_literal(relation) }} as {{ dbt_utils.type_string() }}) as {{ source_column_name }},\n {% for col_name in ordered_column_names -%}\n\n {%- set col = column_superset[col_name] %}\n {%- set col_type = column_override.get(col.column, col.data_type) %}\n {%- set col_name = adapter.quote(col_name) if col_name in relation_columns[relation] else 'null' %}\n cast({{ col_name }} as {{ col_type }}) as {{ col.quoted }} {% if not loop.last %},{% endif -%}\n\n {%- endfor %}\n\n from {{ relation }}\n )\n\n {% if not loop.last -%}\n union all\n {% endif -%}\n\n {%- endfor -%}\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.string_literal", "macro.dbt_utils.type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8103518}, "macro.dbt_utils.surrogate_key": {"unique_id": "macro.dbt_utils.surrogate_key", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "name": "surrogate_key", "macro_sql": "{%- macro surrogate_key(field_list) -%}\n {# needed for safe_add to allow for non-keyword arguments see SO post #}\n {# https://stackoverflow.com/questions/13944751/args-kwargs-in-jinja2-macros #}\n {% set frustrating_jinja_feature = varargs %}\n {{ return(adapter.dispatch('surrogate_key', 'dbt_utils')(field_list, *varargs)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__surrogate_key"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8127222}, "macro.dbt_utils.default__surrogate_key": {"unique_id": "macro.dbt_utils.default__surrogate_key", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/surrogate_key.sql", "original_file_path": "macros/sql/surrogate_key.sql", "name": "default__surrogate_key", "macro_sql": "\n\n{%- macro default__surrogate_key(field_list) -%}\n\n{%- if varargs|length >= 1 or field_list is string %}\n\n{%- set error_message = '\nWarning: the `surrogate_key` macro now takes a single list argument instead of \\\nmultiple string arguments. Support for multiple string arguments will be \\\ndeprecated in a future release of dbt-utils. The {}.{} model triggered this warning. \\\n'.format(model.package_name, model.name) -%}\n\n{%- do exceptions.warn(error_message) -%}\n\n{# first argument is not included in varargs, so add first element to field_list_xf #}\n{%- set field_list_xf = [field_list] -%}\n\n{%- for field in varargs %}\n{%- set _ = field_list_xf.append(field) -%}\n{%- endfor -%}\n\n{%- else -%}\n\n{# if using list, just set field_list_xf as field_list #}\n{%- set field_list_xf = field_list -%}\n\n{%- endif -%}\n\n\n{%- set fields = [] -%}\n\n{%- for field in field_list_xf -%}\n\n {%- set _ = fields.append(\n \"coalesce(cast(\" ~ field ~ \" as \" ~ dbt_utils.type_string() ~ \"), '')\"\n ) -%}\n\n {%- if not loop.last %}\n {%- set _ = fields.append(\"'-'\") -%}\n {%- endif -%}\n\n{%- endfor -%}\n\n{{dbt_utils.hash(dbt_utils.concat(fields))}}\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.type_string", "macro.dbt_utils.hash", "macro.dbt_utils.concat"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8163514}, "macro.dbt_utils.get_query_results_as_dict": {"unique_id": "macro.dbt_utils.get_query_results_as_dict", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "name": "get_query_results_as_dict", "macro_sql": "{% macro get_query_results_as_dict(query) %}\n {{ return(adapter.dispatch('get_query_results_as_dict', 'dbt_utils')(query)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_query_results_as_dict"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8179867}, "macro.dbt_utils.default__get_query_results_as_dict": {"unique_id": "macro.dbt_utils.default__get_query_results_as_dict", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_query_results_as_dict.sql", "original_file_path": "macros/sql/get_query_results_as_dict.sql", "name": "default__get_query_results_as_dict", "macro_sql": "{% macro default__get_query_results_as_dict(query) %}\n\n{# This macro returns a dictionary of the form {column_name: (tuple_of_results)} #}\n\n {%- call statement('get_query_results', fetch_result=True,auto_begin=false) -%}\n\n {{ query }}\n\n {%- endcall -%}\n\n {% set sql_results={} %}\n\n {%- if execute -%}\n {% set sql_results_table = load_result('get_query_results').table.columns %}\n {% for column_name, column in sql_results_table.items() %}\n {% do sql_results.update({column_name: column.values()}) %}\n {% endfor %}\n {%- endif -%}\n\n {{ return(sql_results) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8201141}, "macro.dbt_utils.get_relations_by_pattern": {"unique_id": "macro.dbt_utils.get_relations_by_pattern", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "name": "get_relations_by_pattern", "macro_sql": "{% macro get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n {{ return(adapter.dispatch('get_relations_by_pattern', 'dbt_utils')(schema_pattern, table_pattern, exclude, database)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8226986}, "macro.dbt_utils.default__get_relations_by_pattern": {"unique_id": "macro.dbt_utils.default__get_relations_by_pattern", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_relations_by_pattern.sql", "original_file_path": "macros/sql/get_relations_by_pattern.sql", "name": "default__get_relations_by_pattern", "macro_sql": "{% macro default__get_relations_by_pattern(schema_pattern, table_pattern, exclude='', database=target.database) %}\n\n {%- call statement('get_tables', fetch_result=True) %}\n\n {{ dbt_utils.get_tables_by_pattern_sql(schema_pattern, table_pattern, exclude, database) }}\n\n {%- endcall -%}\n\n {%- set table_list = load_result('get_tables') -%}\n\n {%- if table_list and table_list['table'] -%}\n {%- set tbl_relations = [] -%}\n {%- for row in table_list['table'] -%}\n {%- set tbl_relation = api.Relation.create(\n database=database,\n schema=row.table_schema,\n identifier=row.table_name,\n type=row.table_type\n ) -%}\n {%- do tbl_relations.append(tbl_relation) -%}\n {%- endfor -%}\n\n {{ return(tbl_relations) }}\n {%- else -%}\n {{ return([]) }}\n {%- endif -%}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.825677}, "macro.dbt_utils.get_powers_of_two": {"unique_id": "macro.dbt_utils.get_powers_of_two", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "name": "get_powers_of_two", "macro_sql": "{% macro get_powers_of_two(upper_bound) %}\n {{ return(adapter.dispatch('get_powers_of_two', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8285608}, "macro.dbt_utils.default__get_powers_of_two": {"unique_id": "macro.dbt_utils.default__get_powers_of_two", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "name": "default__get_powers_of_two", "macro_sql": "{% macro default__get_powers_of_two(upper_bound) %}\n\n {% if upper_bound <= 0 %}\n {{ exceptions.raise_compiler_error(\"upper bound must be positive\") }}\n {% endif %}\n\n {% for _ in range(1, 100) %}\n {% if upper_bound <= 2 ** loop.index %}{{ return(loop.index) }}{% endif %}\n {% endfor %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.830176}, "macro.dbt_utils.generate_series": {"unique_id": "macro.dbt_utils.generate_series", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "name": "generate_series", "macro_sql": "{% macro generate_series(upper_bound) %}\n {{ return(adapter.dispatch('generate_series', 'dbt_utils')(upper_bound)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__generate_series"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8308656}, "macro.dbt_utils.default__generate_series": {"unique_id": "macro.dbt_utils.default__generate_series", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/generate_series.sql", "original_file_path": "macros/sql/generate_series.sql", "name": "default__generate_series", "macro_sql": "{% macro default__generate_series(upper_bound) %}\n\n {% set n = dbt_utils.get_powers_of_two(upper_bound) %}\n\n with p as (\n select 0 as generated_number union all select 1\n ), unioned as (\n\n select\n\n {% for i in range(n) %}\n p{{i}}.generated_number * power(2, {{i}})\n {% if not loop.last %} + {% endif %}\n {% endfor %}\n + 1\n as generated_number\n\n from\n\n {% for i in range(n) %}\n p as p{{i}}\n {% if not loop.last %} cross join {% endif %}\n {% endfor %}\n\n )\n\n select *\n from unioned\n where generated_number <= {{upper_bound}}\n order by generated_number\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.get_powers_of_two"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8327036}, "macro.dbt_utils.star": {"unique_id": "macro.dbt_utils.star", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "name": "star", "macro_sql": "{% macro star(from, relation_alias=False, except=[], prefix='', suffix='') -%}\n {{ return(adapter.dispatch('star', 'dbt_utils')(from, relation_alias, except, prefix, suffix)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__star"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.835194}, "macro.dbt_utils.default__star": {"unique_id": "macro.dbt_utils.default__star", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/star.sql", "original_file_path": "macros/sql/star.sql", "name": "default__star", "macro_sql": "{% macro default__star(from, relation_alias=False, except=[], prefix='', suffix='') -%}\n {%- do dbt_utils._is_relation(from, 'star') -%}\n {%- do dbt_utils._is_ephemeral(from, 'star') -%}\n\n {#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n {%- if not execute -%}\n {{ return('') }}\n {% endif %}\n\n {%- set include_cols = [] %}\n {%- set cols = adapter.get_columns_in_relation(from) -%}\n {%- set except = except | map(\"lower\") | list %}\n {%- for col in cols -%}\n\n {%- if col.column|lower not in except -%}\n {% do include_cols.append(col.column) %}\n\n {%- endif %}\n {%- endfor %}\n\n {%- for col in include_cols %}\n\n {%- if relation_alias %}{{ relation_alias }}.{% else %}{%- endif -%}{{ adapter.quote(col)|trim }} as {{ adapter.quote(prefix ~ col ~ suffix)|trim }}\n {%- if not loop.last %},{{ '\\n ' }}{% endif %}\n\n {%- endfor -%}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.838973}, "macro.dbt_utils.get_intervals_between": {"unique_id": "macro.dbt_utils.get_intervals_between", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "name": "get_intervals_between", "macro_sql": "{% macro get_intervals_between(start_date, end_date, datepart) -%}\n {{ return(adapter.dispatch('get_intervals_between', 'dbt_utils')(start_date, end_date, datepart)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_intervals_between"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8419356}, "macro.dbt_utils.default__get_intervals_between": {"unique_id": "macro.dbt_utils.default__get_intervals_between", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "name": "default__get_intervals_between", "macro_sql": "{% macro default__get_intervals_between(start_date, end_date, datepart) -%}\n {%- call statement('get_intervals_between', fetch_result=True) %}\n\n select {{dbt_utils.datediff(start_date, end_date, datepart)}}\n\n {%- endcall -%}\n\n {%- set value_list = load_result('get_intervals_between') -%}\n\n {%- if value_list and value_list['data'] -%}\n {%- set values = value_list['data'] | map(attribute=0) | list %}\n {{ return(values[0]) }}\n {%- else -%}\n {{ return(1) }}\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.statement", "macro.dbt_utils.datediff"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8441043}, "macro.dbt_utils.date_spine": {"unique_id": "macro.dbt_utils.date_spine", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "name": "date_spine", "macro_sql": "{% macro date_spine(datepart, start_date, end_date) %}\n {{ return(adapter.dispatch('date_spine', 'dbt_utils')(datepart, start_date, end_date)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__date_spine"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.845072}, "macro.dbt_utils.default__date_spine": {"unique_id": "macro.dbt_utils.default__date_spine", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/date_spine.sql", "original_file_path": "macros/sql/date_spine.sql", "name": "default__date_spine", "macro_sql": "{% macro default__date_spine(datepart, start_date, end_date) %}\n\n/*\ncall as follows:\n\ndate_spine(\n \"day\",\n \"to_date('01/01/2016', 'mm/dd/yyyy')\",\n \"dateadd(week, 1, current_date)\"\n)\n\n*/\n\nwith rawdata as (\n\n {{dbt_utils.generate_series(\n dbt_utils.get_intervals_between(start_date, end_date, datepart)\n )}}\n\n),\n\nall_periods as (\n\n select (\n {{\n dbt_utils.dateadd(\n datepart,\n \"row_number() over (order by 1) - 1\",\n start_date\n )\n }}\n ) as date_{{datepart}}\n from rawdata\n\n),\n\nfiltered as (\n\n select *\n from all_periods\n where date_{{datepart}} <= {{ end_date }}\n\n)\n\nselect * from filtered\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.generate_series", "macro.dbt_utils.get_intervals_between", "macro.dbt_utils.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8464463}, "macro.dbt_utils.get_tables_by_prefix_sql": {"unique_id": "macro.dbt_utils.get_tables_by_prefix_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "name": "get_tables_by_prefix_sql", "macro_sql": "{% macro get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n {{ return(adapter.dispatch('get_tables_by_prefix_sql', 'dbt_utils')(schema, prefix, exclude, database)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_tables_by_prefix_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8482263}, "macro.dbt_utils.default__get_tables_by_prefix_sql": {"unique_id": "macro.dbt_utils.default__get_tables_by_prefix_sql", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/sql/get_tables_by_prefix_sql.sql", "original_file_path": "macros/sql/get_tables_by_prefix_sql.sql", "name": "default__get_tables_by_prefix_sql", "macro_sql": "{% macro default__get_tables_by_prefix_sql(schema, prefix, exclude='', database=target.database) %}\n\n {{ dbt_utils.get_tables_by_pattern_sql(\n schema_pattern = schema,\n table_pattern = prefix ~ '%',\n exclude = exclude,\n database = database\n ) }}\n \n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.get_tables_by_pattern_sql"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8492062}, "macro.dbt_utils.test_mutually_exclusive_ranges": {"unique_id": "macro.dbt_utils.test_mutually_exclusive_ranges", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/schema_tests/mutually_exclusive_ranges.sql", "name": "test_mutually_exclusive_ranges", "macro_sql": "{% test mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n {{ return(adapter.dispatch('test_mutually_exclusive_ranges', 'dbt_utils')(model, lower_bound_column, upper_bound_column, partition_by, gaps, zero_length_range_allowed)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_mutually_exclusive_ranges"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8580632}, "macro.dbt_utils.default__test_mutually_exclusive_ranges": {"unique_id": "macro.dbt_utils.default__test_mutually_exclusive_ranges", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/mutually_exclusive_ranges.sql", "original_file_path": "macros/schema_tests/mutually_exclusive_ranges.sql", "name": "default__test_mutually_exclusive_ranges", "macro_sql": "{% macro default__test_mutually_exclusive_ranges(model, lower_bound_column, upper_bound_column, partition_by=None, gaps='allowed', zero_length_range_allowed=False) %}\n{% if gaps == 'not_allowed' %}\n {% set allow_gaps_operator='=' %}\n {% set allow_gaps_operator_in_words='equal_to' %}\n{% elif gaps == 'allowed' %}\n {% set allow_gaps_operator='<=' %}\n {% set allow_gaps_operator_in_words='less_than_or_equal_to' %}\n{% elif gaps == 'required' %}\n {% set allow_gaps_operator='<' %}\n {% set allow_gaps_operator_in_words='less_than' %}\n{% else %}\n {{ exceptions.raise_compiler_error(\n \"`gaps` argument for mutually_exclusive_ranges test must be one of ['not_allowed', 'allowed', 'required'] Got: '\" ~ gaps ~\"'.'\"\n ) }}\n{% endif %}\n{% if not zero_length_range_allowed %}\n {% set allow_zero_length_operator='<' %}\n {% set allow_zero_length_operator_in_words='less_than' %}\n{% elif zero_length_range_allowed %}\n {% set allow_zero_length_operator='<=' %}\n {% set allow_zero_length_operator_in_words='less_than_or_equal_to' %}\n{% else %}\n {{ exceptions.raise_compiler_error(\n \"`zero_length_range_allowed` argument for mutually_exclusive_ranges test must be one of [true, false] Got: '\" ~ zero_length_range_allowed ~\"'.'\"\n ) }}\n{% endif %}\n\n{% set partition_clause=\"partition by \" ~ partition_by if partition_by else '' %}\n\nwith window_functions as (\n\n select\n {% if partition_by %}\n {{ partition_by }} as partition_by_col,\n {% endif %}\n {{ lower_bound_column }} as lower_bound,\n {{ upper_bound_column }} as upper_bound,\n\n lead({{ lower_bound_column }}) over (\n {{ partition_clause }}\n order by {{ lower_bound_column }}\n ) as next_lower_bound,\n\n row_number() over (\n {{ partition_clause }}\n order by {{ lower_bound_column }} desc\n ) = 1 as is_last_record\n\n from {{ model }}\n\n),\n\ncalc as (\n -- We want to return records where one of our assumptions fails, so we'll use\n -- the `not` function with `and` statements so we can write our assumptions nore cleanly\n select\n *,\n\n -- For each record: lower_bound should be < upper_bound.\n -- Coalesce it to return an error on the null case (implicit assumption\n -- these columns are not_null)\n coalesce(\n lower_bound {{ allow_zero_length_operator }} upper_bound,\n false\n ) as lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound,\n\n -- For each record: upper_bound {{ allow_gaps_operator }} the next lower_bound.\n -- Coalesce it to handle null cases for the last record.\n coalesce(\n upper_bound {{ allow_gaps_operator }} next_lower_bound,\n is_last_record,\n false\n ) as upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n\n from window_functions\n\n),\n\nvalidation_errors as (\n\n select\n *\n from calc\n\n where not(\n -- THE FOLLOWING SHOULD BE TRUE --\n lower_bound_{{ allow_zero_length_operator_in_words }}_upper_bound\n and upper_bound_{{ allow_gaps_operator_in_words }}_next_lower_bound\n )\n)\n\nselect * from validation_errors\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8639739}, "macro.dbt_utils.test_accepted_range": {"unique_id": "macro.dbt_utils.test_accepted_range", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/accepted_range.sql", "original_file_path": "macros/schema_tests/accepted_range.sql", "name": "test_accepted_range", "macro_sql": "{% test accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n {{ return(adapter.dispatch('test_accepted_range', 'dbt_utils')(model, column_name, min_value, max_value, inclusive)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_accepted_range"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8663871}, "macro.dbt_utils.default__test_accepted_range": {"unique_id": "macro.dbt_utils.default__test_accepted_range", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/accepted_range.sql", "original_file_path": "macros/schema_tests/accepted_range.sql", "name": "default__test_accepted_range", "macro_sql": "{% macro default__test_accepted_range(model, column_name, min_value=none, max_value=none, inclusive=true) %}\n\nwith meet_condition as(\n select *\n from {{ model }}\n),\n\nvalidation_errors as (\n select *\n from meet_condition\n where\n -- never true, defaults to an empty result set. Exists to ensure any combo of the `or` clauses below succeeds\n 1 = 2\n\n {%- if min_value is not none %}\n -- records with a value >= min_value are permitted. The `not` flips this to find records that don't meet the rule.\n or not {{ column_name }} > {{- \"=\" if inclusive }} {{ min_value }}\n {%- endif %}\n\n {%- if max_value is not none %}\n -- records with a value <= max_value are permitted. The `not` flips this to find records that don't meet the rule.\n or not {{ column_name }} < {{- \"=\" if inclusive }} {{ max_value }}\n {%- endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.868039}, "macro.dbt_utils.test_unique_combination_of_columns": {"unique_id": "macro.dbt_utils.test_unique_combination_of_columns", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/unique_combination_of_columns.sql", "original_file_path": "macros/schema_tests/unique_combination_of_columns.sql", "name": "test_unique_combination_of_columns", "macro_sql": "{% test unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n {{ return(adapter.dispatch('test_unique_combination_of_columns', 'dbt_utils')(model, combination_of_columns, quote_columns)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_unique_combination_of_columns"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.870294}, "macro.dbt_utils.default__test_unique_combination_of_columns": {"unique_id": "macro.dbt_utils.default__test_unique_combination_of_columns", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/unique_combination_of_columns.sql", "original_file_path": "macros/schema_tests/unique_combination_of_columns.sql", "name": "default__test_unique_combination_of_columns", "macro_sql": "{% macro default__test_unique_combination_of_columns(model, combination_of_columns, quote_columns=false) %}\n\n{% if not quote_columns %}\n {%- set column_list=combination_of_columns %}\n{% elif quote_columns %}\n {%- set column_list=[] %}\n {% for column in combination_of_columns -%}\n {% set column_list = column_list.append( adapter.quote(column) ) %}\n {%- endfor %}\n{% else %}\n {{ exceptions.raise_compiler_error(\n \"`quote_columns` argument for unique_combination_of_columns test must be one of [True, False] Got: '\" ~ quote ~\"'.'\"\n ) }}\n{% endif %}\n\n{%- set columns_csv=column_list | join(', ') %}\n\n\nwith validation_errors as (\n\n select\n {{ columns_csv }}\n from {{ model }}\n group by {{ columns_csv }}\n having count(*) > 1\n\n)\n\nselect *\nfrom validation_errors\n\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8725698}, "macro.dbt_utils.test_not_accepted_values": {"unique_id": "macro.dbt_utils.test_not_accepted_values", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/not_accepted_values.sql", "original_file_path": "macros/schema_tests/not_accepted_values.sql", "name": "test_not_accepted_values", "macro_sql": "{% test not_accepted_values(model, column_name, values, quote=True) %}\n {{ return(adapter.dispatch('test_not_accepted_values', 'dbt_utils')(model, column_name, values, quote)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_not_accepted_values"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8755453}, "macro.dbt_utils.default__test_not_accepted_values": {"unique_id": "macro.dbt_utils.default__test_not_accepted_values", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/not_accepted_values.sql", "original_file_path": "macros/schema_tests/not_accepted_values.sql", "name": "default__test_not_accepted_values", "macro_sql": "{% macro default__test_not_accepted_values(model, column_name, values, quote=True) %}\nwith all_values as (\n\n select distinct\n {{ column_name }} as value_field\n\n from {{ model }}\n\n),\n\nvalidation_errors as (\n\n select\n value_field\n\n from all_values\n where value_field in (\n {% for value in values -%}\n {% if quote -%}\n '{{ value }}'\n {%- else -%}\n {{ value }}\n {%- endif -%}\n {%- if not loop.last -%},{%- endif %}\n {%- endfor %}\n )\n\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8783207}, "macro.dbt_utils.test_expression_is_true": {"unique_id": "macro.dbt_utils.test_expression_is_true", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/expression_is_true.sql", "original_file_path": "macros/schema_tests/expression_is_true.sql", "name": "test_expression_is_true", "macro_sql": "{% test expression_is_true(model, expression, column_name=None, condition='1=1') %}\n{# T-SQL has no boolean data type so we use 1=1 which returns TRUE #}\n{# ref https://stackoverflow.com/a/7170753/3842610 #}\n {{ return(adapter.dispatch('test_expression_is_true', 'dbt_utils')(model, expression, column_name, condition)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_expression_is_true"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.88058}, "macro.dbt_utils.default__test_expression_is_true": {"unique_id": "macro.dbt_utils.default__test_expression_is_true", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/expression_is_true.sql", "original_file_path": "macros/schema_tests/expression_is_true.sql", "name": "default__test_expression_is_true", "macro_sql": "{% macro default__test_expression_is_true(model, expression, column_name, condition) %}\n\nwith meet_condition as (\n select * from {{ model }} where {{ condition }}\n)\n\nselect\n *\nfrom meet_condition\n{% if column_name is none %}\nwhere not({{ expression }})\n{%- else %}\nwhere not({{ column_name }} {{ expression }})\n{%- endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.881721}, "macro.dbt_utils.test_recency": {"unique_id": "macro.dbt_utils.test_recency", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/recency.sql", "original_file_path": "macros/schema_tests/recency.sql", "name": "test_recency", "macro_sql": "{% test recency(model, field, datepart, interval) %}\n {{ return(adapter.dispatch('test_recency', 'dbt_utils')(model, field, datepart, interval)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_recency"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8834174}, "macro.dbt_utils.default__test_recency": {"unique_id": "macro.dbt_utils.default__test_recency", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/recency.sql", "original_file_path": "macros/schema_tests/recency.sql", "name": "default__test_recency", "macro_sql": "{% macro default__test_recency(model, field, datepart, interval) %}\n\n{% set threshold = dbt_utils.dateadd(datepart, interval * -1, dbt_utils.current_timestamp()) %}\n\nwith recency as (\n\n select max({{field}}) as most_recent\n from {{ model }}\n\n)\n\nselect\n\n most_recent,\n {{ threshold }} as threshold\n\nfrom recency\nwhere most_recent < {{ threshold }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.dateadd", "macro.dbt_utils.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8845732}, "macro.dbt_utils.test_not_null_proportion": {"unique_id": "macro.dbt_utils.test_not_null_proportion", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/not_null_proportion.sql", "original_file_path": "macros/schema_tests/not_null_proportion.sql", "name": "test_not_null_proportion", "macro_sql": "{% macro test_not_null_proportion(model) %}\n {{ return(adapter.dispatch('test_not_null_proportion', 'dbt_utils')(model, **kwargs)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_not_null_proportion"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.886252}, "macro.dbt_utils.default__test_not_null_proportion": {"unique_id": "macro.dbt_utils.default__test_not_null_proportion", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/not_null_proportion.sql", "original_file_path": "macros/schema_tests/not_null_proportion.sql", "name": "default__test_not_null_proportion", "macro_sql": "{% macro default__test_not_null_proportion(model) %}\n\n{% set column_name = kwargs.get('column_name', kwargs.get('arg')) %}\n{% set at_least = kwargs.get('at_least', kwargs.get('arg')) %}\n{% set at_most = kwargs.get('at_most', kwargs.get('arg', 1)) %}\n\nwith validation as (\n select\n sum(case when {{ column_name }} is null then 0 else 1 end) / cast(count(*) as numeric) as not_null_proportion\n from {{ model }}\n),\nvalidation_errors as (\n select\n not_null_proportion\n from validation\n where not_null_proportion < {{ at_least }} or not_null_proportion > {{ at_most }}\n)\nselect\n *\nfrom validation_errors\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8882294}, "macro.dbt_utils.test_equality": {"unique_id": "macro.dbt_utils.test_equality", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/equality.sql", "original_file_path": "macros/schema_tests/equality.sql", "name": "test_equality", "macro_sql": "{% test equality(model, compare_model, compare_columns=None) %}\n {{ return(adapter.dispatch('test_equality', 'dbt_utils')(model, compare_model, compare_columns)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_equality"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8906732}, "macro.dbt_utils.default__test_equality": {"unique_id": "macro.dbt_utils.default__test_equality", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/equality.sql", "original_file_path": "macros/schema_tests/equality.sql", "name": "default__test_equality", "macro_sql": "{% macro default__test_equality(model, compare_model, compare_columns=None) %}\n\n{% set set_diff %}\n count(*) + coalesce(abs(\n sum(case when which_diff = 'a_minus_b' then 1 else 0 end) -\n sum(case when which_diff = 'b_minus_a' then 1 else 0 end)\n ), 0)\n{% endset %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = set_diff) }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n {{ return('') }}\n{% endif %}\n\n-- setup\n{%- do dbt_utils._is_relation(model, 'test_equality') -%}\n\n{#-\nIf the compare_cols arg is provided, we can run this test without querying the\ninformation schema\u00a0\u2014 this allows the model to be an ephemeral model\n-#}\n\n{%- if not compare_columns -%}\n {%- do dbt_utils._is_ephemeral(model, 'test_equality') -%}\n {%- set compare_columns = adapter.get_columns_in_relation(model) | map(attribute='quoted') -%}\n{%- endif -%}\n\n{% set compare_cols_csv = compare_columns | join(', ') %}\n\nwith a as (\n\n select * from {{ model }}\n\n),\n\nb as (\n\n select * from {{ compare_model }}\n\n),\n\na_minus_b as (\n\n select {{compare_cols_csv}} from a\n {{ dbt_utils.except() }}\n select {{compare_cols_csv}} from b\n\n),\n\nb_minus_a as (\n\n select {{compare_cols_csv}} from b\n {{ dbt_utils.except() }}\n select {{compare_cols_csv}} from a\n\n),\n\nunioned as (\n\n select 'a_minus_b' as which_diff, a_minus_b.* from a_minus_b\n union all\n select 'b_minus_a' as which_diff, b_minus_a.* from b_minus_a\n\n)\n\nselect * from unioned\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils._is_relation", "macro.dbt_utils._is_ephemeral", "macro.dbt_utils.except"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.893765}, "macro.dbt_utils.test_unique_where": {"unique_id": "macro.dbt_utils.test_unique_where", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/test_unique_where.sql", "original_file_path": "macros/schema_tests/test_unique_where.sql", "name": "test_unique_where", "macro_sql": "{% test unique_where(model, column_name) %}\r\n {%- set deprecation_warning = '\r\n Warning: `dbt_utils.unique_where` is no longer supported.\r\n Starting in dbt v0.20.0, the built-in `unique` test supports a `where` config.\r\n ' -%}\r\n {%- do exceptions.warn(deprecation_warning) -%}\r\n {{ return(adapter.dispatch('test_unique_where', 'dbt_utils')(model, column_name)) }}\r\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_unique_where"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8955455}, "macro.dbt_utils.default__test_unique_where": {"unique_id": "macro.dbt_utils.default__test_unique_where", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/test_unique_where.sql", "original_file_path": "macros/schema_tests/test_unique_where.sql", "name": "default__test_unique_where", "macro_sql": "{% macro default__test_unique_where(model, column_name) %}\r\n {{ return(test_unique(model, column_name)) }}\r\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.test_unique"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8961663}, "macro.dbt_utils.test_equal_rowcount": {"unique_id": "macro.dbt_utils.test_equal_rowcount", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/equal_rowcount.sql", "original_file_path": "macros/schema_tests/equal_rowcount.sql", "name": "test_equal_rowcount", "macro_sql": "{% test equal_rowcount(model, compare_model) %}\n {{ return(adapter.dispatch('test_equal_rowcount', 'dbt_utils')(model, compare_model)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_equal_rowcount"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8977904}, "macro.dbt_utils.default__test_equal_rowcount": {"unique_id": "macro.dbt_utils.default__test_equal_rowcount", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/equal_rowcount.sql", "original_file_path": "macros/schema_tests/equal_rowcount.sql", "name": "default__test_equal_rowcount", "macro_sql": "{% macro default__test_equal_rowcount(model, compare_model) %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'coalesce(diff_count, 0)') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n {{ return('') }}\n{% endif %}\n\nwith a as (\n\n select count(*) as count_a from {{ model }}\n\n),\nb as (\n\n select count(*) as count_b from {{ compare_model }}\n\n),\nfinal as (\n\n select\n count_a,\n count_b,\n abs(count_a - count_b) as diff_count\n from a\n cross join b\n\n)\n\nselect * from final\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.8989103}, "macro.dbt_utils.test_sequential_values": {"unique_id": "macro.dbt_utils.test_sequential_values", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/sequential_values.sql", "original_file_path": "macros/schema_tests/sequential_values.sql", "name": "test_sequential_values", "macro_sql": "{% test sequential_values(model, column_name, interval=1, datepart=None) %}\n\n {{ return(adapter.dispatch('test_sequential_values', 'dbt_utils')(model, column_name, interval, datepart)) }}\n\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_sequential_values"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9024525}, "macro.dbt_utils.default__test_sequential_values": {"unique_id": "macro.dbt_utils.default__test_sequential_values", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/sequential_values.sql", "original_file_path": "macros/schema_tests/sequential_values.sql", "name": "default__test_sequential_values", "macro_sql": "{% macro default__test_sequential_values(model, column_name, interval=1, datepart=None) %}\n\nwith windowed as (\n\n select\n {{ column_name }},\n lag({{ column_name }}) over (\n order by {{ column_name }}\n ) as previous_{{ column_name }}\n from {{ model }}\n),\n\nvalidation_errors as (\n select\n *\n from windowed\n {% if datepart %}\n where not(cast({{ column_name }} as {{ dbt_utils.type_timestamp() }})= cast({{ dbt_utils.dateadd(datepart, interval, 'previous_' + column_name) }} as {{ dbt_utils.type_timestamp() }}))\n {% else %}\n where not({{ column_name }} = previous_{{ column_name }} + {{ interval }})\n {% endif %}\n)\n\nselect *\nfrom validation_errors\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.type_timestamp", "macro.dbt_utils.dateadd"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9090261}, "macro.dbt_utils.test_not_null_where": {"unique_id": "macro.dbt_utils.test_not_null_where", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/test_not_null_where.sql", "original_file_path": "macros/schema_tests/test_not_null_where.sql", "name": "test_not_null_where", "macro_sql": "{% test not_null_where(model, column_name) %}\r\n {%- set deprecation_warning = '\r\n Warning: `dbt_utils.not_null_where` is no longer supported.\r\n Starting in dbt v0.20.0, the built-in `not_null` test supports a `where` config.\r\n ' -%}\r\n {%- do exceptions.warn(deprecation_warning) -%}\r\n {{ return(adapter.dispatch('test_not_null_where', 'dbt_utils')(model, column_name)) }}\r\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_not_null_where"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9126158}, "macro.dbt_utils.default__test_not_null_where": {"unique_id": "macro.dbt_utils.default__test_not_null_where", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/test_not_null_where.sql", "original_file_path": "macros/schema_tests/test_not_null_where.sql", "name": "default__test_not_null_where", "macro_sql": "{% macro default__test_not_null_where(model, column_name) %}\r\n {{ return(test_not_null(model, column_name)) }}\r\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt.test_not_null"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9137633}, "macro.dbt_utils.test_at_least_one": {"unique_id": "macro.dbt_utils.test_at_least_one", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/at_least_one.sql", "original_file_path": "macros/schema_tests/at_least_one.sql", "name": "test_at_least_one", "macro_sql": "{% test at_least_one(model, column_name) %}\n {{ return(adapter.dispatch('test_at_least_one', 'dbt_utils')(model, column_name)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_at_least_one"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9167693}, "macro.dbt_utils.default__test_at_least_one": {"unique_id": "macro.dbt_utils.default__test_at_least_one", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/at_least_one.sql", "original_file_path": "macros/schema_tests/at_least_one.sql", "name": "default__test_at_least_one", "macro_sql": "{% macro default__test_at_least_one(model, column_name) %}\n\nselect *\nfrom (\n select\n {# In TSQL, subquery aggregate columns need aliases #}\n {# thus: a filler col name, 'filler_column' #}\n count({{ column_name }}) as filler_column\n\n from {{ model }}\n\n having count({{ column_name }}) = 0\n\n) validation_errors\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9180999}, "macro.dbt_utils.test_cardinality_equality": {"unique_id": "macro.dbt_utils.test_cardinality_equality", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/cardinality_equality.sql", "original_file_path": "macros/schema_tests/cardinality_equality.sql", "name": "test_cardinality_equality", "macro_sql": "{% test cardinality_equality(model, column_name, to, field) %}\n {{ return(adapter.dispatch('test_cardinality_equality', 'dbt_utils')(model, column_name, to, field)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_cardinality_equality"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9219532}, "macro.dbt_utils.default__test_cardinality_equality": {"unique_id": "macro.dbt_utils.default__test_cardinality_equality", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/cardinality_equality.sql", "original_file_path": "macros/schema_tests/cardinality_equality.sql", "name": "default__test_cardinality_equality", "macro_sql": "{% macro default__test_cardinality_equality(model, column_name, to, field) %}\n\n{# T-SQL does not let you use numbers as aliases for columns #}\n{# Thus, no \"GROUP BY 1\" #}\n\nwith table_a as (\nselect\n {{ column_name }},\n count(*) as num_rows\nfrom {{ model }}\ngroup by {{ column_name }}\n),\n\ntable_b as (\nselect\n {{ field }},\n count(*) as num_rows\nfrom {{ to }}\ngroup by {{ field }}\n),\n\nexcept_a as (\n select *\n from table_a\n {{ dbt_utils.except() }}\n select *\n from table_b\n),\n\nexcept_b as (\n select *\n from table_b\n {{ dbt_utils.except() }}\n select *\n from table_a\n),\n\nunioned as (\n select *\n from except_a\n union all\n select *\n from except_b\n)\n\nselect *\nfrom unioned\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.except"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9245431}, "macro.dbt_utils.test_fewer_rows_than": {"unique_id": "macro.dbt_utils.test_fewer_rows_than", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/fewer_rows_than.sql", "original_file_path": "macros/schema_tests/fewer_rows_than.sql", "name": "test_fewer_rows_than", "macro_sql": "{% test fewer_rows_than(model, compare_model) %}\n {{ return(adapter.dispatch('test_fewer_rows_than', 'dbt_utils')(model, compare_model)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_fewer_rows_than"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9279957}, "macro.dbt_utils.default__test_fewer_rows_than": {"unique_id": "macro.dbt_utils.default__test_fewer_rows_than", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/fewer_rows_than.sql", "original_file_path": "macros/schema_tests/fewer_rows_than.sql", "name": "default__test_fewer_rows_than", "macro_sql": "{% macro default__test_fewer_rows_than(model, compare_model) %}\n\n{{ config(fail_calc = 'coalesce(row_count_delta, 0)') }}\n\nwith a as (\n\n select count(*) as count_our_model from {{ model }}\n\n),\nb as (\n\n select count(*) as count_comparison_model from {{ compare_model }}\n\n),\ncounts as (\n\n select\n count_our_model,\n count_comparison_model\n from a\n cross join b\n\n),\nfinal as (\n\n select *,\n case\n -- fail the test if we have more rows than the reference model and return the row count delta\n when count_our_model > count_comparison_model then (count_our_model - count_comparison_model)\n -- fail the test if they are the same number\n when count_our_model = count_comparison_model then 1\n -- pass the test if the delta is positive (i.e. return the number 0)\n else 0\n end as row_count_delta\n from counts\n\n)\n\nselect * from final\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9292855}, "macro.dbt_utils.test_not_constant": {"unique_id": "macro.dbt_utils.test_not_constant", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/not_constant.sql", "original_file_path": "macros/schema_tests/not_constant.sql", "name": "test_not_constant", "macro_sql": "{% test not_constant(model, column_name) %}\n {{ return(adapter.dispatch('test_not_constant', 'dbt_utils')(model, column_name)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_not_constant"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9312482}, "macro.dbt_utils.default__test_not_constant": {"unique_id": "macro.dbt_utils.default__test_not_constant", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/not_constant.sql", "original_file_path": "macros/schema_tests/not_constant.sql", "name": "default__test_not_constant", "macro_sql": "{% macro default__test_not_constant(model, column_name) %}\n\n\nselect\n {# In TSQL, subquery aggregate columns need aliases #}\n {# thus: a filler col name, 'filler_column' #}\n count(distinct {{ column_name }}) as filler_column\n\nfrom {{ model }}\n\nhaving count(distinct {{ column_name }}) = 1\n\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9322033}, "macro.dbt_utils.test_relationships_where": {"unique_id": "macro.dbt_utils.test_relationships_where", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/relationships_where.sql", "original_file_path": "macros/schema_tests/relationships_where.sql", "name": "test_relationships_where", "macro_sql": "{% test relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n {{ return(adapter.dispatch('test_relationships_where', 'dbt_utils')(model, column_name, to, field, from_condition, to_condition)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__test_relationships_where"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.935507}, "macro.dbt_utils.default__test_relationships_where": {"unique_id": "macro.dbt_utils.default__test_relationships_where", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/schema_tests/relationships_where.sql", "original_file_path": "macros/schema_tests/relationships_where.sql", "name": "default__test_relationships_where", "macro_sql": "{% macro default__test_relationships_where(model, column_name, to, field, from_condition=\"1=1\", to_condition=\"1=1\") %}\n\n{# T-SQL has no boolean data type so we use 1=1 which returns TRUE #}\n{# ref https://stackoverflow.com/a/7170753/3842610 #}\n\nwith left_table as (\n\n select\n {{column_name}} as id\n\n from {{model}}\n\n where {{column_name}} is not null\n and {{from_condition}}\n\n),\n\nright_table as (\n\n select\n {{field}} as id\n\n from {{to}}\n\n where {{field}} is not null\n and {{to_condition}}\n\n),\n\nexceptions as (\n\n select\n left_table.id,\n right_table.id as right_id\n\n from left_table\n\n left join right_table\n on left_table.id = right_table.id\n\n where right_table.id is null\n\n)\n\nselect * from exceptions\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9377172}, "macro.dbt_utils.get_url_path": {"unique_id": "macro.dbt_utils.get_url_path", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "name": "get_url_path", "macro_sql": "{% macro get_url_path(field) -%}\n {{ return(adapter.dispatch('get_url_path', 'dbt_utils')(field)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_url_path"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9415364}, "macro.dbt_utils.default__get_url_path": {"unique_id": "macro.dbt_utils.default__get_url_path", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/web/get_url_path.sql", "original_file_path": "macros/web/get_url_path.sql", "name": "default__get_url_path", "macro_sql": "{% macro default__get_url_path(field) -%}\n\n {%- set stripped_url = \n dbt_utils.replace(\n dbt_utils.replace(field, \"'http://'\", \"''\"), \"'https://'\", \"''\")\n -%}\n\n {%- set first_slash_pos -%}\n coalesce(\n nullif({{dbt_utils.position(\"'/'\", stripped_url)}}, 0),\n {{dbt_utils.position(\"'?'\", stripped_url)}} - 1\n )\n {%- endset -%}\n\n {%- set parsed_path =\n dbt_utils.split_part(\n dbt_utils.right(\n stripped_url, \n dbt_utils.length(stripped_url) ~ \"-\" ~ first_slash_pos\n ), \n \"'?'\", 1\n )\n -%}\n\n {{ dbt_utils.safe_cast(\n parsed_path,\n dbt_utils.type_string()\n )}}\n \n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.replace", "macro.dbt_utils.position", "macro.dbt_utils.split_part", "macro.dbt_utils.right", "macro.dbt_utils.length", "macro.dbt_utils.safe_cast", "macro.dbt_utils.type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9439783}, "macro.dbt_utils.get_url_parameter": {"unique_id": "macro.dbt_utils.get_url_parameter", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "name": "get_url_parameter", "macro_sql": "{% macro get_url_parameter(field, url_parameter) -%}\n {{ return(adapter.dispatch('get_url_parameter', 'dbt_utils')(field, url_parameter)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_url_parameter"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9462602}, "macro.dbt_utils.default__get_url_parameter": {"unique_id": "macro.dbt_utils.default__get_url_parameter", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/web/get_url_parameter.sql", "original_file_path": "macros/web/get_url_parameter.sql", "name": "default__get_url_parameter", "macro_sql": "{% macro default__get_url_parameter(field, url_parameter) -%}\n\n{%- set formatted_url_parameter = \"'\" + url_parameter + \"='\" -%}\n\n{%- set split = dbt_utils.split_part(dbt_utils.split_part(field, formatted_url_parameter, 2), \"'&'\", 1) -%}\n\nnullif({{ split }},'')\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.split_part"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.948196}, "macro.dbt_utils.get_url_host": {"unique_id": "macro.dbt_utils.get_url_host", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "name": "get_url_host", "macro_sql": "{% macro get_url_host(field) -%}\n {{ return(adapter.dispatch('get_url_host', 'dbt_utils')(field)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__get_url_host"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.950106}, "macro.dbt_utils.default__get_url_host": {"unique_id": "macro.dbt_utils.default__get_url_host", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/web/get_url_host.sql", "original_file_path": "macros/web/get_url_host.sql", "name": "default__get_url_host", "macro_sql": "{% macro default__get_url_host(field) -%}\n\n{%- set parsed =\n dbt_utils.split_part(\n dbt_utils.split_part(\n dbt_utils.replace(\n dbt_utils.replace(\n dbt_utils.replace(field, \"'android-app://'\", \"''\"\n ), \"'http://'\", \"''\"\n ), \"'https://'\", \"''\"\n ), \"'/'\", 1\n ), \"'?'\", 1\n )\n\n-%}\n\n\n {{ dbt_utils.safe_cast(\n parsed,\n dbt_utils.type_string()\n )}}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.split_part", "macro.dbt_utils.replace", "macro.dbt_utils.safe_cast", "macro.dbt_utils.type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.952109}, "macro.dbt_utils._is_ephemeral": {"unique_id": "macro.dbt_utils._is_ephemeral", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/_is_ephemeral.sql", "original_file_path": "macros/cross_db_utils/_is_ephemeral.sql", "name": "_is_ephemeral", "macro_sql": "{% macro _is_ephemeral(obj, macro) %}\n {%- if obj.is_cte -%}\n {% set ephemeral_prefix = api.Relation.add_ephemeral_prefix('') %}\n {% if obj.name.startswith(ephemeral_prefix) %}\n {% set model_name = obj.name[(ephemeral_prefix|length):] %}\n {% else %}\n {% set model_name = obj.name %}\n {%- endif -%}\n {% set error_message %}\nThe `{{ macro }}` macro cannot be used with ephemeral models, as it relies on the information schema.\n\n`{{ model_name }}` is an ephemeral model. Consider making it a view or table instead.\n {% endset %}\n {%- do exceptions.raise_compiler_error(error_message) -%}\n {%- endif -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.955481}, "macro.dbt_utils.datediff": {"unique_id": "macro.dbt_utils.datediff", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datediff.sql", "original_file_path": "macros/cross_db_utils/datediff.sql", "name": "datediff", "macro_sql": "{% macro datediff(first_date, second_date, datepart) %}\n {{ return(adapter.dispatch('datediff', 'dbt_utils')(first_date, second_date, datepart)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__datediff"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9639978}, "macro.dbt_utils.default__datediff": {"unique_id": "macro.dbt_utils.default__datediff", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datediff.sql", "original_file_path": "macros/cross_db_utils/datediff.sql", "name": "default__datediff", "macro_sql": "{% macro default__datediff(first_date, second_date, datepart) %}\n\n datediff(\n {{ datepart }},\n {{ first_date }},\n {{ second_date }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9646637}, "macro.dbt_utils.bigquery__datediff": {"unique_id": "macro.dbt_utils.bigquery__datediff", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datediff.sql", "original_file_path": "macros/cross_db_utils/datediff.sql", "name": "bigquery__datediff", "macro_sql": "{% macro bigquery__datediff(first_date, second_date, datepart) %}\n\n datetime_diff(\n cast({{second_date}} as datetime),\n cast({{first_date}} as datetime),\n {{datepart}}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9654675}, "macro.dbt_utils.postgres__datediff": {"unique_id": "macro.dbt_utils.postgres__datediff", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datediff.sql", "original_file_path": "macros/cross_db_utils/datediff.sql", "name": "postgres__datediff", "macro_sql": "{% macro postgres__datediff(first_date, second_date, datepart) %}\n\n {% if datepart == 'year' %}\n (date_part('year', ({{second_date}})::date) - date_part('year', ({{first_date}})::date))\n {% elif datepart == 'quarter' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'year') }} * 4 + date_part('quarter', ({{second_date}})::date) - date_part('quarter', ({{first_date}})::date))\n {% elif datepart == 'month' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'year') }} * 12 + date_part('month', ({{second_date}})::date) - date_part('month', ({{first_date}})::date))\n {% elif datepart == 'day' %}\n (({{second_date}})::date - ({{first_date}})::date)\n {% elif datepart == 'week' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'day') }} / 7 + case\n when date_part('dow', ({{first_date}})::timestamp) <= date_part('dow', ({{second_date}})::timestamp) then\n case when {{first_date}} <= {{second_date}} then 0 else -1 end\n else\n case when {{first_date}} <= {{second_date}} then 1 else 0 end\n end)\n {% elif datepart == 'hour' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'day') }} * 24 + date_part('hour', ({{second_date}})::timestamp) - date_part('hour', ({{first_date}})::timestamp))\n {% elif datepart == 'minute' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'hour') }} * 60 + date_part('minute', ({{second_date}})::timestamp) - date_part('minute', ({{first_date}})::timestamp))\n {% elif datepart == 'second' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'minute') }} * 60 + floor(date_part('second', ({{second_date}})::timestamp)) - floor(date_part('second', ({{first_date}})::timestamp)))\n {% elif datepart == 'millisecond' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'minute') }} * 60000 + floor(date_part('millisecond', ({{second_date}})::timestamp)) - floor(date_part('millisecond', ({{first_date}})::timestamp)))\n {% elif datepart == 'microsecond' %}\n ({{ dbt_utils.datediff(first_date, second_date, 'minute') }} * 60000000 + floor(date_part('microsecond', ({{second_date}})::timestamp)) - floor(date_part('microsecond', ({{first_date}})::timestamp)))\n {% else %}\n {{ exceptions.raise_compiler_error(\"Unsupported datepart for macro datediff in postgres: {!r}\".format(datepart)) }}\n {% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.datediff"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9725542}, "macro.dbt_utils.redshift__datediff": {"unique_id": "macro.dbt_utils.redshift__datediff", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datediff.sql", "original_file_path": "macros/cross_db_utils/datediff.sql", "name": "redshift__datediff", "macro_sql": "{% macro redshift__datediff(first_date, second_date, datepart) %}\n\n {{ return(dbt_utils.default__datediff(first_date, second_date, datepart)) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__datediff"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9733362}, "macro.dbt_utils.cast_bool_to_text": {"unique_id": "macro.dbt_utils.cast_bool_to_text", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/cast_bool_to_text.sql", "original_file_path": "macros/cross_db_utils/cast_bool_to_text.sql", "name": "cast_bool_to_text", "macro_sql": "{% macro cast_bool_to_text(field) %}\n {{ adapter.dispatch('cast_bool_to_text', 'dbt_utils') (field) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__cast_bool_to_text"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9748409}, "macro.dbt_utils.default__cast_bool_to_text": {"unique_id": "macro.dbt_utils.default__cast_bool_to_text", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/cast_bool_to_text.sql", "original_file_path": "macros/cross_db_utils/cast_bool_to_text.sql", "name": "default__cast_bool_to_text", "macro_sql": "{% macro default__cast_bool_to_text(field) %}\n cast({{ field }} as {{ dbt_utils.type_string() }})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9753764}, "macro.dbt_utils.redshift__cast_bool_to_text": {"unique_id": "macro.dbt_utils.redshift__cast_bool_to_text", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/cast_bool_to_text.sql", "original_file_path": "macros/cross_db_utils/cast_bool_to_text.sql", "name": "redshift__cast_bool_to_text", "macro_sql": "{% macro redshift__cast_bool_to_text(field) %}\n case\n when {{ field }} is true then 'true'\n when {{ field }} is false then 'false'\n end::text\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9758933}, "macro.dbt_utils.current_timestamp": {"unique_id": "macro.dbt_utils.current_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "current_timestamp", "macro_sql": "{% macro current_timestamp() -%}\n {{ return(adapter.dispatch('current_timestamp', 'dbt_utils')()) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9780936}, "macro.dbt_utils.default__current_timestamp": {"unique_id": "macro.dbt_utils.default__current_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "default__current_timestamp", "macro_sql": "{% macro default__current_timestamp() %}\n current_timestamp::{{dbt_utils.type_timestamp()}}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9785862}, "macro.dbt_utils.redshift__current_timestamp": {"unique_id": "macro.dbt_utils.redshift__current_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "redshift__current_timestamp", "macro_sql": "{% macro redshift__current_timestamp() %}\n getdate()\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9788468}, "macro.dbt_utils.bigquery__current_timestamp": {"unique_id": "macro.dbt_utils.bigquery__current_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "bigquery__current_timestamp", "macro_sql": "{% macro bigquery__current_timestamp() %}\n current_timestamp\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9791398}, "macro.dbt_utils.current_timestamp_in_utc": {"unique_id": "macro.dbt_utils.current_timestamp_in_utc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "current_timestamp_in_utc", "macro_sql": "{% macro current_timestamp_in_utc() -%}\n {{ return(adapter.dispatch('current_timestamp_in_utc', 'dbt_utils')()) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__current_timestamp_in_utc"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9799333}, "macro.dbt_utils.default__current_timestamp_in_utc": {"unique_id": "macro.dbt_utils.default__current_timestamp_in_utc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "default__current_timestamp_in_utc", "macro_sql": "{% macro default__current_timestamp_in_utc() %}\n {{dbt_utils.current_timestamp()}}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.current_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9805412}, "macro.dbt_utils.snowflake__current_timestamp_in_utc": {"unique_id": "macro.dbt_utils.snowflake__current_timestamp_in_utc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "snowflake__current_timestamp_in_utc", "macro_sql": "{% macro snowflake__current_timestamp_in_utc() %}\n convert_timezone('UTC', {{dbt_utils.current_timestamp()}})::{{dbt_utils.type_timestamp()}}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.current_timestamp", "macro.dbt_utils.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9812717}, "macro.dbt_utils.postgres__current_timestamp_in_utc": {"unique_id": "macro.dbt_utils.postgres__current_timestamp_in_utc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "postgres__current_timestamp_in_utc", "macro_sql": "{% macro postgres__current_timestamp_in_utc() %}\n (current_timestamp at time zone 'utc')::{{dbt_utils.type_timestamp()}}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.981785}, "macro.dbt_utils.redshift__current_timestamp_in_utc": {"unique_id": "macro.dbt_utils.redshift__current_timestamp_in_utc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/current_timestamp.sql", "original_file_path": "macros/cross_db_utils/current_timestamp.sql", "name": "redshift__current_timestamp_in_utc", "macro_sql": "{% macro redshift__current_timestamp_in_utc() %}\n {{ return(dbt_utils.default__current_timestamp_in_utc()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__current_timestamp_in_utc"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9824355}, "macro.dbt_utils.string_literal": {"unique_id": "macro.dbt_utils.string_literal", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/literal.sql", "original_file_path": "macros/cross_db_utils/literal.sql", "name": "string_literal", "macro_sql": "{%- macro string_literal(value) -%}\n {{ return(adapter.dispatch('string_literal', 'dbt_utils') (value)) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__string_literal"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9841669}, "macro.dbt_utils.default__string_literal": {"unique_id": "macro.dbt_utils.default__string_literal", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/literal.sql", "original_file_path": "macros/cross_db_utils/literal.sql", "name": "default__string_literal", "macro_sql": "{% macro default__string_literal(value) -%}\n '{{ value }}'\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9847176}, "macro.dbt_utils.replace": {"unique_id": "macro.dbt_utils.replace", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/replace.sql", "original_file_path": "macros/cross_db_utils/replace.sql", "name": "replace", "macro_sql": "{% macro replace(field, old_chars, new_chars) -%}\n {{ return(adapter.dispatch('replace', 'dbt_utils') (field, old_chars, new_chars)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__replace"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9867182}, "macro.dbt_utils.default__replace": {"unique_id": "macro.dbt_utils.default__replace", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/replace.sql", "original_file_path": "macros/cross_db_utils/replace.sql", "name": "default__replace", "macro_sql": "{% macro default__replace(field, old_chars, new_chars) %}\n\n replace(\n {{ field }},\n {{ old_chars }},\n {{ new_chars }}\n )\n \n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.98762}, "macro.dbt_utils.except": {"unique_id": "macro.dbt_utils.except", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/except.sql", "original_file_path": "macros/cross_db_utils/except.sql", "name": "except", "macro_sql": "{% macro except() %}\n {{ return(adapter.dispatch('except', 'dbt_utils')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__except"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9891245}, "macro.dbt_utils.default__except": {"unique_id": "macro.dbt_utils.default__except", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/except.sql", "original_file_path": "macros/cross_db_utils/except.sql", "name": "default__except", "macro_sql": "{% macro default__except() %}\n\n except\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9893966}, "macro.dbt_utils.bigquery__except": {"unique_id": "macro.dbt_utils.bigquery__except", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/except.sql", "original_file_path": "macros/cross_db_utils/except.sql", "name": "bigquery__except", "macro_sql": "{% macro bigquery__except() %}\n\n except distinct\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9896784}, "macro.dbt_utils.dateadd": {"unique_id": "macro.dbt_utils.dateadd", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/dateadd.sql", "original_file_path": "macros/cross_db_utils/dateadd.sql", "name": "dateadd", "macro_sql": "{% macro dateadd(datepart, interval, from_date_or_timestamp) %}\n {{ return(adapter.dispatch('dateadd', 'dbt_utils')(datepart, interval, from_date_or_timestamp)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9915097}, "macro.dbt_utils.default__dateadd": {"unique_id": "macro.dbt_utils.default__dateadd", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/dateadd.sql", "original_file_path": "macros/cross_db_utils/dateadd.sql", "name": "default__dateadd", "macro_sql": "{% macro default__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n dateadd(\n {{ datepart }},\n {{ interval }},\n {{ from_date_or_timestamp }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9922397}, "macro.dbt_utils.bigquery__dateadd": {"unique_id": "macro.dbt_utils.bigquery__dateadd", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/dateadd.sql", "original_file_path": "macros/cross_db_utils/dateadd.sql", "name": "bigquery__dateadd", "macro_sql": "{% macro bigquery__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n datetime_add(\n cast( {{ from_date_or_timestamp }} as datetime),\n interval {{ interval }} {{ datepart }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9927897}, "macro.dbt_utils.postgres__dateadd": {"unique_id": "macro.dbt_utils.postgres__dateadd", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/dateadd.sql", "original_file_path": "macros/cross_db_utils/dateadd.sql", "name": "postgres__dateadd", "macro_sql": "{% macro postgres__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n {{ from_date_or_timestamp }} + ((interval '1 {{ datepart }}') * ({{ interval }}))\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9932761}, "macro.dbt_utils.redshift__dateadd": {"unique_id": "macro.dbt_utils.redshift__dateadd", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/dateadd.sql", "original_file_path": "macros/cross_db_utils/dateadd.sql", "name": "redshift__dateadd", "macro_sql": "{% macro redshift__dateadd(datepart, interval, from_date_or_timestamp) %}\n\n {{ return(dbt_utils.default__dateadd(datepart, interval, from_date_or_timestamp)) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__dateadd"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.993866}, "macro.dbt_utils.last_day": {"unique_id": "macro.dbt_utils.last_day", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/last_day.sql", "original_file_path": "macros/cross_db_utils/last_day.sql", "name": "last_day", "macro_sql": "{% macro last_day(date, datepart) %}\n {{ return(adapter.dispatch('last_day', 'dbt_utils') (date, datepart)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__last_day"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9965742}, "macro.dbt_utils.default_last_day": {"unique_id": "macro.dbt_utils.default_last_day", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/last_day.sql", "original_file_path": "macros/cross_db_utils/last_day.sql", "name": "default_last_day", "macro_sql": "\n\n\n{%- macro default_last_day(date, datepart) -%}\n cast(\n {{dbt_utils.dateadd('day', '-1',\n dbt_utils.dateadd(datepart, '1', dbt_utils.date_trunc(datepart, date))\n )}}\n as date)\n{%- endmacro -%}\n\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.dateadd", "macro.dbt_utils.date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9981039}, "macro.dbt_utils.default__last_day": {"unique_id": "macro.dbt_utils.default__last_day", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/last_day.sql", "original_file_path": "macros/cross_db_utils/last_day.sql", "name": "default__last_day", "macro_sql": "{% macro default__last_day(date, datepart) -%}\n {{dbt_utils.default_last_day(date, datepart)}}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067936.9989927}, "macro.dbt_utils.postgres__last_day": {"unique_id": "macro.dbt_utils.postgres__last_day", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/last_day.sql", "original_file_path": "macros/cross_db_utils/last_day.sql", "name": "postgres__last_day", "macro_sql": "{% macro postgres__last_day(date, datepart) -%}\n\n {%- if datepart == 'quarter' -%}\n -- postgres dateadd does not support quarter interval.\n cast(\n {{dbt_utils.dateadd('day', '-1',\n dbt_utils.dateadd('month', '3', dbt_utils.date_trunc(datepart, date))\n )}}\n as date)\n {%- else -%}\n {{dbt_utils.default_last_day(date, datepart)}}\n {%- endif -%}\n\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.dateadd", "macro.dbt_utils.date_trunc", "macro.dbt_utils.default_last_day"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0002935}, "macro.dbt_utils.redshift__last_day": {"unique_id": "macro.dbt_utils.redshift__last_day", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/last_day.sql", "original_file_path": "macros/cross_db_utils/last_day.sql", "name": "redshift__last_day", "macro_sql": "{% macro redshift__last_day(date, datepart) %}\n\n {{ return(dbt_utils.default__last_day(date, datepart)) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__last_day"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0009916}, "macro.dbt_utils.identifier": {"unique_id": "macro.dbt_utils.identifier", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/identifier.sql", "original_file_path": "macros/cross_db_utils/identifier.sql", "name": "identifier", "macro_sql": "{% macro identifier(value) %}\t\n {%- set error_message = '\n Warning: the `identifier` macro is no longer supported and will be deprecated in a future release of dbt-utils. \\\n Use `adapter.quote` instead. The {}.{} model triggered this warning. \\\n '.format(model.package_name, model.name) -%}\n {%- do exceptions.warn(error_message) -%}\n {{ return(adapter.dispatch('identifier', 'dbt_utils') (value)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__identifier"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0030425}, "macro.dbt_utils.default__identifier": {"unique_id": "macro.dbt_utils.default__identifier", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/identifier.sql", "original_file_path": "macros/cross_db_utils/identifier.sql", "name": "default__identifier", "macro_sql": "{% macro default__identifier(value) -%}\t\n \"{{ value }}\"\t\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.003493}, "macro.dbt_utils.bigquery__identifier": {"unique_id": "macro.dbt_utils.bigquery__identifier", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/identifier.sql", "original_file_path": "macros/cross_db_utils/identifier.sql", "name": "bigquery__identifier", "macro_sql": "{% macro bigquery__identifier(value) -%}\t\n `{{ value }}`\t\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0038145}, "macro.dbt_utils.date_trunc": {"unique_id": "macro.dbt_utils.date_trunc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/date_trunc.sql", "original_file_path": "macros/cross_db_utils/date_trunc.sql", "name": "date_trunc", "macro_sql": "{% macro date_trunc(datepart, date) -%}\n {{ return(adapter.dispatch('date_trunc', 'dbt_utils') (datepart, date)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__date_trunc"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0050144}, "macro.dbt_utils.default__date_trunc": {"unique_id": "macro.dbt_utils.default__date_trunc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/date_trunc.sql", "original_file_path": "macros/cross_db_utils/date_trunc.sql", "name": "default__date_trunc", "macro_sql": "{% macro default__date_trunc(datepart, date) %}\n date_trunc('{{datepart}}', {{date}})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0054395}, "macro.dbt_utils.bigquery__date_trunc": {"unique_id": "macro.dbt_utils.bigquery__date_trunc", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/date_trunc.sql", "original_file_path": "macros/cross_db_utils/date_trunc.sql", "name": "bigquery__date_trunc", "macro_sql": "{% macro bigquery__date_trunc(datepart, date) %}\n timestamp_trunc(\n cast({{date}} as timestamp),\n {{datepart}}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0058568}, "macro.dbt_utils.type_string": {"unique_id": "macro.dbt_utils.type_string", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "type_string", "macro_sql": "\n\n{%- macro type_string() -%}\n {{ return(adapter.dispatch('type_string', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.007791}, "macro.dbt_utils.default__type_string": {"unique_id": "macro.dbt_utils.default__type_string", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "default__type_string", "macro_sql": "{% macro default__type_string() %}\n string\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0080428}, "macro.dbt_utils.redshift__type_string": {"unique_id": "macro.dbt_utils.redshift__type_string", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "redshift__type_string", "macro_sql": "\n\n{%- macro redshift__type_string() -%}\n varchar\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0082707}, "macro.dbt_utils.postgres__type_string": {"unique_id": "macro.dbt_utils.postgres__type_string", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "postgres__type_string", "macro_sql": "{% macro postgres__type_string() %}\n varchar\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.008493}, "macro.dbt_utils.snowflake__type_string": {"unique_id": "macro.dbt_utils.snowflake__type_string", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "snowflake__type_string", "macro_sql": "{% macro snowflake__type_string() %}\n varchar\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0087578}, "macro.dbt_utils.type_timestamp": {"unique_id": "macro.dbt_utils.type_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "type_timestamp", "macro_sql": "\n\n{%- macro type_timestamp() -%}\n {{ return(adapter.dispatch('type_timestamp', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__type_timestamp"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.009226}, "macro.dbt_utils.default__type_timestamp": {"unique_id": "macro.dbt_utils.default__type_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "default__type_timestamp", "macro_sql": "{% macro default__type_timestamp() %}\n timestamp\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0094786}, "macro.dbt_utils.snowflake__type_timestamp": {"unique_id": "macro.dbt_utils.snowflake__type_timestamp", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "snowflake__type_timestamp", "macro_sql": "{% macro snowflake__type_timestamp() %}\n timestamp_ntz\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.009708}, "macro.dbt_utils.type_float": {"unique_id": "macro.dbt_utils.type_float", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "type_float", "macro_sql": "\n\n{%- macro type_float() -%}\n {{ return(adapter.dispatch('type_float', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_float"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0106628}, "macro.dbt_utils.default__type_float": {"unique_id": "macro.dbt_utils.default__type_float", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "default__type_float", "macro_sql": "{% macro default__type_float() %}\n float\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0109227}, "macro.dbt_utils.bigquery__type_float": {"unique_id": "macro.dbt_utils.bigquery__type_float", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "bigquery__type_float", "macro_sql": "{% macro bigquery__type_float() %}\n float64\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0111482}, "macro.dbt_utils.type_numeric": {"unique_id": "macro.dbt_utils.type_numeric", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "type_numeric", "macro_sql": "\n\n{%- macro type_numeric() -%}\n {{ return(adapter.dispatch('type_numeric', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.01169}, "macro.dbt_utils.default__type_numeric": {"unique_id": "macro.dbt_utils.default__type_numeric", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "default__type_numeric", "macro_sql": "{% macro default__type_numeric() %}\n numeric(28, 6)\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0119634}, "macro.dbt_utils.bigquery__type_numeric": {"unique_id": "macro.dbt_utils.bigquery__type_numeric", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "bigquery__type_numeric", "macro_sql": "{% macro bigquery__type_numeric() %}\n numeric\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0122094}, "macro.dbt_utils.type_bigint": {"unique_id": "macro.dbt_utils.type_bigint", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "type_bigint", "macro_sql": "\n\n{%- macro type_bigint() -%}\n {{ return(adapter.dispatch('type_bigint', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_bigint"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0128}, "macro.dbt_utils.default__type_bigint": {"unique_id": "macro.dbt_utils.default__type_bigint", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "default__type_bigint", "macro_sql": "{% macro default__type_bigint() %}\n bigint\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0130477}, "macro.dbt_utils.bigquery__type_bigint": {"unique_id": "macro.dbt_utils.bigquery__type_bigint", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "bigquery__type_bigint", "macro_sql": "{% macro bigquery__type_bigint() %}\n int64\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.013334}, "macro.dbt_utils.type_int": {"unique_id": "macro.dbt_utils.type_int", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "type_int", "macro_sql": "\n\n{%- macro type_int() -%}\n {{ return(adapter.dispatch('type_int', 'dbt_utils')()) }}\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__type_int"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0138798}, "macro.dbt_utils.default__type_int": {"unique_id": "macro.dbt_utils.default__type_int", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "default__type_int", "macro_sql": "{% macro default__type_int() %}\n int\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0141218}, "macro.dbt_utils.bigquery__type_int": {"unique_id": "macro.dbt_utils.bigquery__type_int", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/datatypes.sql", "original_file_path": "macros/cross_db_utils/datatypes.sql", "name": "bigquery__type_int", "macro_sql": "{% macro bigquery__type_int() %}\n int64\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0143883}, "macro.dbt_utils.width_bucket": {"unique_id": "macro.dbt_utils.width_bucket", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/width_bucket.sql", "original_file_path": "macros/cross_db_utils/width_bucket.sql", "name": "width_bucket", "macro_sql": "{% macro width_bucket(expr, min_value, max_value, num_buckets) %}\n {{ return(adapter.dispatch('width_bucket', 'dbt_utils') (expr, min_value, max_value, num_buckets)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__width_bucket"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.018287}, "macro.dbt_utils.default__width_bucket": {"unique_id": "macro.dbt_utils.default__width_bucket", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/width_bucket.sql", "original_file_path": "macros/cross_db_utils/width_bucket.sql", "name": "default__width_bucket", "macro_sql": "{% macro default__width_bucket(expr, min_value, max_value, num_buckets) -%}\n\n {% set bin_size -%}\n (( {{ max_value }} - {{ min_value }} ) / {{ num_buckets }} )\n {%- endset %}\n (\n -- to break ties when the amount is eaxtly at the bucket egde\n case\n when\n mod(\n {{ dbt_utils.safe_cast(expr, dbt_utils.type_numeric() ) }},\n {{ dbt_utils.safe_cast(bin_size, dbt_utils.type_numeric() ) }}\n ) = 0\n then 1\n else 0\n end\n ) +\n -- Anything over max_value goes the N+1 bucket\n least(\n ceil(\n ({{ expr }} - {{ min_value }})/{{ bin_size }}\n ),\n {{ num_buckets }} + 1\n )\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.safe_cast", "macro.dbt_utils.type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0198364}, "macro.dbt_utils.redshift__width_bucket": {"unique_id": "macro.dbt_utils.redshift__width_bucket", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/width_bucket.sql", "original_file_path": "macros/cross_db_utils/width_bucket.sql", "name": "redshift__width_bucket", "macro_sql": "{% macro redshift__width_bucket(expr, min_value, max_value, num_buckets) -%}\n\n {% set bin_size -%}\n (( {{ max_value }} - {{ min_value }} ) / {{ num_buckets }} )\n {%- endset %}\n (\n -- to break ties when the amount is exactly at the bucket edge\n case\n when\n {{ dbt_utils.safe_cast(expr, dbt_utils.type_numeric() ) }} %\n {{ dbt_utils.safe_cast(bin_size, dbt_utils.type_numeric() ) }}\n = 0\n then 1\n else 0\n end\n ) +\n -- Anything over max_value goes the N+1 bucket\n least(\n ceil(\n ({{ expr }} - {{ min_value }})/{{ bin_size }}\n ),\n {{ num_buckets }} + 1\n )\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.safe_cast", "macro.dbt_utils.type_numeric"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.021482}, "macro.dbt_utils.snowflake__width_bucket": {"unique_id": "macro.dbt_utils.snowflake__width_bucket", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/width_bucket.sql", "original_file_path": "macros/cross_db_utils/width_bucket.sql", "name": "snowflake__width_bucket", "macro_sql": "{% macro snowflake__width_bucket(expr, min_value, max_value, num_buckets) %}\n width_bucket({{ expr }}, {{ min_value }}, {{ max_value }}, {{ num_buckets }} )\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0221298}, "macro.dbt_utils._is_relation": {"unique_id": "macro.dbt_utils._is_relation", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/_is_relation.sql", "original_file_path": "macros/cross_db_utils/_is_relation.sql", "name": "_is_relation", "macro_sql": "{% macro _is_relation(obj, macro) %}\n {%- if not (obj is mapping and obj.get('metadata', {}).get('type', '').endswith('Relation')) -%}\n {%- do exceptions.raise_compiler_error(\"Macro \" ~ macro ~ \" expected a Relation but received the value: \" ~ obj) -%}\n {%- endif -%}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0239425}, "macro.dbt_utils.split_part": {"unique_id": "macro.dbt_utils.split_part", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/split_part.sql", "original_file_path": "macros/cross_db_utils/split_part.sql", "name": "split_part", "macro_sql": "{% macro split_part(string_text, delimiter_text, part_number) %}\n {{ return(adapter.dispatch('split_part', 'dbt_utils') (string_text, delimiter_text, part_number)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__split_part"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0254486}, "macro.dbt_utils.default__split_part": {"unique_id": "macro.dbt_utils.default__split_part", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/split_part.sql", "original_file_path": "macros/cross_db_utils/split_part.sql", "name": "default__split_part", "macro_sql": "{% macro default__split_part(string_text, delimiter_text, part_number) %}\n\n split_part(\n {{ string_text }},\n {{ delimiter_text }},\n {{ part_number }}\n )\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0260727}, "macro.dbt_utils.bigquery__split_part": {"unique_id": "macro.dbt_utils.bigquery__split_part", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/split_part.sql", "original_file_path": "macros/cross_db_utils/split_part.sql", "name": "bigquery__split_part", "macro_sql": "{% macro bigquery__split_part(string_text, delimiter_text, part_number) %}\n\n split(\n {{ string_text }},\n {{ delimiter_text }}\n )[safe_offset({{ part_number - 1 }})]\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0267112}, "macro.dbt_utils.intersect": {"unique_id": "macro.dbt_utils.intersect", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/intersect.sql", "original_file_path": "macros/cross_db_utils/intersect.sql", "name": "intersect", "macro_sql": "{% macro intersect() %}\n {{ return(adapter.dispatch('intersect', 'dbt_utils')()) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__intersect"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0277972}, "macro.dbt_utils.default__intersect": {"unique_id": "macro.dbt_utils.default__intersect", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/intersect.sql", "original_file_path": "macros/cross_db_utils/intersect.sql", "name": "default__intersect", "macro_sql": "{% macro default__intersect() %}\n\n intersect\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0280583}, "macro.dbt_utils.bigquery__intersect": {"unique_id": "macro.dbt_utils.bigquery__intersect", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/intersect.sql", "original_file_path": "macros/cross_db_utils/intersect.sql", "name": "bigquery__intersect", "macro_sql": "{% macro bigquery__intersect() %}\n\n intersect distinct\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.028338}, "macro.dbt_utils.right": {"unique_id": "macro.dbt_utils.right", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/right.sql", "original_file_path": "macros/cross_db_utils/right.sql", "name": "right", "macro_sql": "{% macro right(string_text, length_expression) -%}\n {{ return(adapter.dispatch('right', 'dbt_utils') (string_text, length_expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__right"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0300562}, "macro.dbt_utils.default__right": {"unique_id": "macro.dbt_utils.default__right", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/right.sql", "original_file_path": "macros/cross_db_utils/right.sql", "name": "default__right", "macro_sql": "{% macro default__right(string_text, length_expression) %}\n\n right(\n {{ string_text }},\n {{ length_expression }}\n )\n \n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0305042}, "macro.dbt_utils.bigquery__right": {"unique_id": "macro.dbt_utils.bigquery__right", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/right.sql", "original_file_path": "macros/cross_db_utils/right.sql", "name": "bigquery__right", "macro_sql": "{% macro bigquery__right(string_text, length_expression) %}\n\n case when {{ length_expression }} = 0 \n then ''\n else \n substr(\n {{ string_text }},\n -1 * ({{ length_expression }})\n )\n end\n\n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0312572}, "macro.dbt_utils.snowflake__right": {"unique_id": "macro.dbt_utils.snowflake__right", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/right.sql", "original_file_path": "macros/cross_db_utils/right.sql", "name": "snowflake__right", "macro_sql": "{% macro snowflake__right(string_text, length_expression) %}\n\n case when {{ length_expression }} = 0 \n then ''\n else \n right(\n {{ string_text }},\n {{ length_expression }}\n )\n end\n\n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.031775}, "macro.dbt_utils.safe_cast": {"unique_id": "macro.dbt_utils.safe_cast", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/safe_cast.sql", "original_file_path": "macros/cross_db_utils/safe_cast.sql", "name": "safe_cast", "macro_sql": "{% macro safe_cast(field, type) %}\n {{ return(adapter.dispatch('safe_cast', 'dbt_utils') (field, type)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.snowflake__safe_cast"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0331903}, "macro.dbt_utils.default__safe_cast": {"unique_id": "macro.dbt_utils.default__safe_cast", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/safe_cast.sql", "original_file_path": "macros/cross_db_utils/safe_cast.sql", "name": "default__safe_cast", "macro_sql": "{% macro default__safe_cast(field, type) %}\n {# most databases don't support this function yet\n so we just need to use cast #}\n cast({{field}} as {{type}})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.033645}, "macro.dbt_utils.snowflake__safe_cast": {"unique_id": "macro.dbt_utils.snowflake__safe_cast", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/safe_cast.sql", "original_file_path": "macros/cross_db_utils/safe_cast.sql", "name": "snowflake__safe_cast", "macro_sql": "{% macro snowflake__safe_cast(field, type) %}\n try_cast({{field}} as {{type}})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0340965}, "macro.dbt_utils.bigquery__safe_cast": {"unique_id": "macro.dbt_utils.bigquery__safe_cast", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/safe_cast.sql", "original_file_path": "macros/cross_db_utils/safe_cast.sql", "name": "bigquery__safe_cast", "macro_sql": "{% macro bigquery__safe_cast(field, type) %}\n safe_cast({{field}} as {{type}})\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0345216}, "macro.dbt_utils.length": {"unique_id": "macro.dbt_utils.length", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/length.sql", "original_file_path": "macros/cross_db_utils/length.sql", "name": "length", "macro_sql": "{% macro length(expression) -%}\n {{ return(adapter.dispatch('length', 'dbt_utils') (expression)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__length"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.035687}, "macro.dbt_utils.default__length": {"unique_id": "macro.dbt_utils.default__length", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/length.sql", "original_file_path": "macros/cross_db_utils/length.sql", "name": "default__length", "macro_sql": "{% macro default__length(expression) %}\n \n length(\n {{ expression }}\n )\n \n{%- endmacro -%}\n\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0360515}, "macro.dbt_utils.redshift__length": {"unique_id": "macro.dbt_utils.redshift__length", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/length.sql", "original_file_path": "macros/cross_db_utils/length.sql", "name": "redshift__length", "macro_sql": "{% macro redshift__length(expression) %}\n\n len(\n {{ expression }}\n )\n \n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0364408}, "macro.dbt_utils.hash": {"unique_id": "macro.dbt_utils.hash", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/hash.sql", "original_file_path": "macros/cross_db_utils/hash.sql", "name": "hash", "macro_sql": "{% macro hash(field) -%}\n {{ return(adapter.dispatch('hash', 'dbt_utils') (field)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0375874}, "macro.dbt_utils.default__hash": {"unique_id": "macro.dbt_utils.default__hash", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/hash.sql", "original_file_path": "macros/cross_db_utils/hash.sql", "name": "default__hash", "macro_sql": "{% macro default__hash(field) -%}\n md5(cast({{field}} as {{dbt_utils.type_string()}}))\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.type_string"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.038003}, "macro.dbt_utils.bigquery__hash": {"unique_id": "macro.dbt_utils.bigquery__hash", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/hash.sql", "original_file_path": "macros/cross_db_utils/hash.sql", "name": "bigquery__hash", "macro_sql": "{% macro bigquery__hash(field) -%}\n to_hex({{dbt_utils.default__hash(field)}})\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__hash"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0384161}, "macro.dbt_utils.concat": {"unique_id": "macro.dbt_utils.concat", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/concat.sql", "original_file_path": "macros/cross_db_utils/concat.sql", "name": "concat", "macro_sql": "{% macro concat(fields) -%}\n {{ return(adapter.dispatch('concat', 'dbt_utils')(fields)) }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__concat"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0393906}, "macro.dbt_utils.default__concat": {"unique_id": "macro.dbt_utils.default__concat", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/concat.sql", "original_file_path": "macros/cross_db_utils/concat.sql", "name": "default__concat", "macro_sql": "{% macro default__concat(fields) -%}\n {{ fields|join(' || ') }}\n{%- endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.039762}, "macro.dbt_utils.position": {"unique_id": "macro.dbt_utils.position", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/position.sql", "original_file_path": "macros/cross_db_utils/position.sql", "name": "position", "macro_sql": "{% macro position(substring_text, string_text) -%}\n {{ return(adapter.dispatch('position', 'dbt_utils') (substring_text, string_text)) }}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.default__position"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0409718}, "macro.dbt_utils.default__position": {"unique_id": "macro.dbt_utils.default__position", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/position.sql", "original_file_path": "macros/cross_db_utils/position.sql", "name": "default__position", "macro_sql": "{% macro default__position(substring_text, string_text) %}\n\n position(\n {{ substring_text }} in {{ string_text }}\n )\n \n{%- endmacro -%}\n\n", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.041374}, "macro.dbt_utils.bigquery__position": {"unique_id": "macro.dbt_utils.bigquery__position", "package_name": "dbt_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_utils", "path": "macros/cross_db_utils/position.sql", "original_file_path": "macros/cross_db_utils/position.sql", "name": "bigquery__position", "macro_sql": "{% macro bigquery__position(substring_text, string_text) %}\n\n strpos(\n {{ string_text }},\n {{ substring_text }}\n \n )\n \n{%- endmacro -%}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0417845}, "macro.codegen.generate_base_model": {"unique_id": "macro.codegen.generate_base_model", "package_name": "codegen", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/codegen", "path": "macros/generate_base_model.sql", "original_file_path": "macros/generate_base_model.sql", "name": "generate_base_model", "macro_sql": "{% macro generate_base_model(source_name, table_name, leading_commas=False) %}\n\n{%- set source_relation = source(source_name, table_name) -%}\n\n{%- set columns = adapter.get_columns_in_relation(source_relation) -%}\n{% set column_names=columns | map(attribute='name') %}\n{% set base_model_sql %}\nwith source as (\n\n select * from {% raw %}{{ source({% endraw %}'{{ source_name }}', '{{ table_name }}'{% raw %}) }}{% endraw %}\n\n),\n\nrenamed as (\n\n select\n {%- if leading_commas -%}\n {%- for column in column_names %}\n {{\", \" if not loop.first}}{{ column | lower }}\n {%- endfor %}\n {%- else -%}\n {%- for column in column_names %}\n {{ column | lower }}{{\",\" if not loop.last}}\n {%- endfor -%}\n {%- endif %}\n\n from source\n\n)\n\nselect * from renamed\n{% endset %}\n\n{% if execute %}\n\n{{ log(base_model_sql, info=True) }}\n{% do return(base_model_sql) %}\n\n{% endif %}\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.04544}, "macro.codegen.generate_model_yaml": {"unique_id": "macro.codegen.generate_model_yaml", "package_name": "codegen", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/codegen", "path": "macros/generate_model_yaml.sql", "original_file_path": "macros/generate_model_yaml.sql", "name": "generate_model_yaml", "macro_sql": "{% macro generate_model_yaml(model_name) %}\n\n{% set model_yaml=[] %}\n\n{% do model_yaml.append('version: 2') %}\n{% do model_yaml.append('') %}\n{% do model_yaml.append('models:') %}\n{% do model_yaml.append(' - name: ' ~ model_name | lower) %}\n{% do model_yaml.append(' description: \"\"') %}\n{% do model_yaml.append(' columns:') %}\n\n{% set relation=ref(model_name) %}\n{%- set columns = adapter.get_columns_in_relation(relation) -%}\n\n{% for column in columns %}\n {% do model_yaml.append(' - name: ' ~ column.name | lower ) %}\n {% do model_yaml.append(' description: \"\"') %}\n {% do model_yaml.append('') %}\n{% endfor %}\n\n{% if execute %}\n\n {% set joined = model_yaml | join ('\\n') %}\n {{ log(joined, info=True) }}\n {% do return(joined) %}\n\n{% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0497158}, "macro.codegen.get_tables_in_schema": {"unique_id": "macro.codegen.get_tables_in_schema", "package_name": "codegen", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/codegen", "path": "macros/generate_source.sql", "original_file_path": "macros/generate_source.sql", "name": "get_tables_in_schema", "macro_sql": "{% macro get_tables_in_schema(schema_name, database_name=target.database) %}\n\n {% set tables=dbt_utils.get_relations_by_pattern(\n database=database_name,\n schema_pattern=schema_name,\n table_pattern='%'\n ) %}\n\n {% set table_list= tables | map(attribute='identifier') %}\n\n {{ return(table_list | sort) }}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_utils.get_relations_by_pattern"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.053125}, "macro.codegen.generate_source": {"unique_id": "macro.codegen.generate_source", "package_name": "codegen", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/codegen", "path": "macros/generate_source.sql", "original_file_path": "macros/generate_source.sql", "name": "generate_source", "macro_sql": "{% macro generate_source(schema_name, database_name=target.database, generate_columns=False, include_descriptions=False) %}\n\n{% set sources_yaml=[] %}\n\n{% do sources_yaml.append('version: 2') %}\n{% do sources_yaml.append('') %}\n{% do sources_yaml.append('sources:') %}\n{% do sources_yaml.append(' - name: ' ~ schema_name | lower) %}\n\n{% if database_name != target.database %}\n{% do sources_yaml.append(' database: ' ~ database_name | lower) %}\n{% endif %}\n\n{% do sources_yaml.append(' tables:') %}\n\n{% set tables=codegen.get_tables_in_schema(schema_name, database_name) %}\n\n{% for table in tables %}\n {% do sources_yaml.append(' - name: ' ~ table | lower ) %}\n\n {% if generate_columns %}\n {% do sources_yaml.append(' columns:') %}\n\n {% set table_relation=api.Relation.create(\n database=database_name,\n schema=schema_name,\n identifier=table\n ) %}\n\n {% set columns=adapter.get_columns_in_relation(table_relation) %}\n\n {% for column in columns %}\n {% do sources_yaml.append(' - name: ' ~ column.name | lower ) %}\n {% if include_descriptions %}\n {% do sources_yaml.append(' description: \"\"' ) %}\n {% endif %}\n {% endfor %}\n {% do sources_yaml.append('') %}\n\n {% endif %}\n\n{% endfor %}\n\n{% if execute %}\n\n {% set joined = sources_yaml | join ('\\n') %}\n {{ log(joined, info=True) }}\n {% do return(joined) %}\n\n{% endif %}\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.codegen.get_tables_in_schema"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.058268}, "macro.dbt_orch_utils.delete_expired_entries": {"unique_id": "macro.dbt_orch_utils.delete_expired_entries", "package_name": "dbt_orch_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_orch_utils", "path": "macros/delete_expired_entries.sql", "original_file_path": "macros/delete_expired_entries.sql", "name": "delete_expired_entries", "macro_sql": "{%\n macro delete_expired_entries(\n expiration_period_days=365,\n date_column='activity_date'\n )\n%}\n\nDELETE FROM {{ this }}\nWHERE {{ date_column }} < DATEADD(day, -({{ expiration_period_days }}), CURRENT_DATE)\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0594473}, "macro.dbt_orch_utils.test_equal_rowcount_fact_analytics": {"unique_id": "macro.dbt_orch_utils.test_equal_rowcount_fact_analytics", "package_name": "dbt_orch_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_orch_utils", "path": "macros/schema_tests/equal_rowcount_fact_analytics.sql", "original_file_path": "macros/schema_tests/equal_rowcount_fact_analytics.sql", "name": "test_equal_rowcount_fact_analytics", "macro_sql": "{% test equal_rowcount_fact_analytics(model, fa_filter, date_column='download_activity_date', date_expression='= current_date()-7') %}\n {{ return(adapter.dispatch('test_equal_rowcount_fact_analytics')(model, fa_filter, date_column, date_expression)) }}\n{% endtest %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": ["macro.dbt_orch_utils.default__test_equal_rowcount_fact_analytics"]}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0612242}, "macro.dbt_orch_utils.default__test_equal_rowcount_fact_analytics": {"unique_id": "macro.dbt_orch_utils.default__test_equal_rowcount_fact_analytics", "package_name": "dbt_orch_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_orch_utils", "path": "macros/schema_tests/equal_rowcount_fact_analytics.sql", "original_file_path": "macros/schema_tests/equal_rowcount_fact_analytics.sql", "name": "default__test_equal_rowcount_fact_analytics", "macro_sql": "{% macro default__test_equal_rowcount_fact_analytics(model, fa_filter, date_column, date_expression) %}\n\n{#-- Needs to be set at parse time, before we return '' below --#}\n{{ config(fail_calc = 'coalesce(diff_count, 0)') }}\n\n{#-- Prevent querying of db in parsing mode. This works because this macro does not create any new refs. #}\n{%- if not execute -%}\n {{ return('') }}\n{% endif %}\n\nwith fa as (\n select sum(units) as count_fa from {{ source('prod', 'fact_analytics') }}\n where download_activity_date {{ date_expression }}\n and {{ fa_filter }}\n),\nbi as (\n select sum(streams) as count_bi from {{ model }}\n where {{ date_column }} {{ date_expression }}\n),\nfinal as (\n select\n count_fa,\n count_bi,\n abs(count_bi - count_fa) as diff_count\n from fa\n cross join bi\n)\n\nselect *\nfrom final {% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0628567}, "macro.dbt_orch_utils.soundcloud_raw_joins": {"unique_id": "macro.dbt_orch_utils.soundcloud_raw_joins", "package_name": "dbt_orch_utils", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/dbt_packages/dbt_orch_utils", "path": "macros/store/soundcloud/soundcloud_raw_joins.sql", "original_file_path": "macros/store/soundcloud/soundcloud_raw_joins.sql", "name": "soundcloud_raw_joins", "macro_sql": "{%\n macro soundcloud_raw_joins(\n streamlevelreport='staging_raw_soundcloud_streamlevelreport',\n trackinformation='staging_raw_soundcloud_trackinformation',\n customerdata='staging_raw_soundcloud_customerdata'\n )\n%}\n\nINNER JOIN facts.prod.dim_transactiontype dim_transactiontype\n ON dim_transactiontype.transactiontypeabbr =\n CASE {{ customerdata }}.subs_last_subscription_tier\n WHEN 'high' THEN 'S'\n WHEN 'dj' THEN 'S'\n WHEN 'mid' THEN 'MT'\n WHEN 'student' THEN 'MT'\n WHEN 'free' THEN 'AS'\n END\n\nINNER JOIN {{ ref('base_dim_release') }} dim_release\n ON dim_release.releaseid = {{ trackinformation }}.album_code\n\nINNER JOIN {{ ref('base_dim_track_clean_mv') }} dim_track\n ON dim_track.isrc = {{ streamlevelreport }}.isrc\n AND dim_track.upc = dim_release.releaseid\n\nINNER JOIN {{ ref('base_dim_country') }} dim_country\n ON dim_country.country_code = {{ streamlevelreport }}.country\n\n{% endmacro %}", "resource_type": "macro", "tags": [], "depends_on": {"macros": []}, "description": "", "meta": {}, "docs": {"show": true}, "patch_path": null, "arguments": [], "created_at": 1660067937.0650055}}, "docs": {"dbt.__overview__": {"unique_id": "dbt.__overview__", "package_name": "dbt", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud/venv/lib/python3.8/site-packages/dbt/include/global_project", "path": "overview.md", "original_file_path": "docs/overview.md", "name": "__overview__", "block_contents": "### Welcome!\n\nWelcome to the auto-generated documentation for your dbt project!\n\n### Navigation\n\nYou can use the `Project` and `Database` navigation tabs on the left side of the window to explore the models\nin your project.\n\n#### Project Tab\nThe `Project` tab mirrors the directory structure of your dbt project. In this tab, you can see all of the\nmodels defined in your dbt project, as well as models imported from dbt packages.\n\n#### Database Tab\nThe `Database` tab also exposes your models, but in a format that looks more like a database explorer. This view\nshows relations (tables and views) grouped into database schemas. Note that ephemeral models are _not_ shown\nin this interface, as they do not exist in the database.\n\n### Graph Exploration\nYou can click the blue icon on the bottom-right corner of the page to view the lineage graph of your models.\n\nOn model pages, you'll see the immediate parents and children of the model you're exploring. By clicking the `Expand`\nbutton at the top-right of this lineage pane, you'll be able to see all of the models that are used to build,\nor are built from, the model you're exploring.\n\nOnce expanded, you'll be able to use the `--select` and `--exclude` model selection syntax to filter the\nmodels in the graph. For more information on model selection, check out the [dbt docs](https://docs.getdbt.com/docs/model-selection-syntax).\n\nNote that you can also right-click on models to interactively filter and explore the graph.\n\n---\n\n### More information\n\n- [What is dbt](https://docs.getdbt.com/docs/introduction)?\n- Read the [dbt viewpoint](https://docs.getdbt.com/docs/viewpoint)\n- [Installation](https://docs.getdbt.com/docs/installation)\n- Join the [dbt Community](https://www.getdbt.com/community/) for questions and discussion"}}, "exposures": {}, "metrics": {}, "selectors": {}, "disabled": {"test.my_new_project.source_clustered_prod_staging_raw_awa_download_date.cc0ebd388d": [{"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(enabled=False) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('prod', 'staging_raw_awa')) }}"}, "namespace": null}, "resource_type": "test", "depends_on": {"macros": 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"checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["prod", "staging_raw_awa"]], "metrics": [], "description": "", "columns": {}, "meta": {}, "docs": {"show": true}, "patch_path": null, "compiled_path": null, "build_path": null, "deferred": false, "unrendered_config": {"enabled": false}, "created_at": 1660067942.3601482, "config_call_dict": {"enabled": false}, "column_name": null, "file_key_name": "sources.prod"}], "test.my_new_project.source_clustered_awal_riverdeep_itunes_download_date.c0d394883e": [{"raw_sql": "{{ test_clustered(**_dbt_generic_test_kwargs) }}{{ config(enabled=False) }}", "test_metadata": {"name": "clustered", "kwargs": {"by": "download_date", "model": "{{ get_where_subquery(source('awal_riverdeep', 'itunes')) }}"}, "namespace": null}, "resource_type": "test", "depends_on": {"macros": ["macro.my_new_project.test_clustered", "macro.dbt.get_where_subquery"], "nodes": []}, "config": {"enabled": false, "alias": null, "schema": "dbt_test__audit", "database": null, "tags": [], "meta": {}, "materialized": "test", "severity": "ERROR", "store_failures": null, "where": null, "limit": null, "fail_calc": "count(*)", "warn_if": "!= 0", "error_if": "!= 0"}, "database": "INTELLIGENCE", "schema": "DBT_EFEDOROV_dbt_test__audit", "fqn": ["my_new_project", "base", "source_clustered_awal_riverdeep_itunes_download_date"], "unique_id": "test.my_new_project.source_clustered_awal_riverdeep_itunes_download_date.c0d394883e", "package_name": "my_new_project", "root_path": "/home/universe.dart.spb/efedorov/projects/orchard/orchard-analytics-dbt-cloud", "path": "source_clustered_awal_riverdeep_itunes_download_date.sql", "original_file_path": "models/base/sources_awal_riverdeep.yml", "name": "source_clustered_awal_riverdeep_itunes_download_date", "alias": "source_clustered_awal_riverdeep_itunes_download_date", "checksum": {"name": "none", "checksum": ""}, "tags": [], "refs": [], "sources": [["awal_riverdeep", "itunes"]], "metrics": 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