= :minPosition) and (:maxPosition is NULL or e.currentPosition <= :maxPosition) and (:minRank is NULL or mr.rank >= :minRank) and (:maxRank is NULL or mr.rank <= :maxRank) and ((:countryCode) is NULL or e.appleMusicCountryId in (:countryCode)) and ( (cast(:chartDate as date) is not NULL and e.id.chartDate = :chartDate) or (cast(:chartDate as date) is NULL and (e.chartDateKey) in (:chartDateKeys)) ) ]]>

= :minPosition) and (:maxPosition is NULL or e.currentPosition <= :maxPosition) and (:minRank is NULL or mr.rank >= :minRank) and (:maxRank is NULL or mr.rank <= :maxRank) and ((:countryCode) is NULL or c.spotifyCountryId in (:countryCode)) and ((:chartBreakdowns) is NULL or c.breakdown in (:chartBreakdowns)) and ((:chartTypes) is NULL or c.type in (:chartTypes)) and ( (cast(:chartDate as date) is not NULL and e.id.chartDate = :chartDate) or (cast(:chartDate as date) is NULL and (e.chartDateKey) in (:chartDateKeys)) ) ]]>

select apple_music_chart_id, max_date as chart_date from apple.fact_max_chart_date

select spotify_chart_id, max_date as chart_date from spotify.fact_max_chart_date

with valid_until_data as ( select dsp, parent_rep_owner, account_id, max(date) as date from data_health.ads_status_daily where (dsp in (:dsps) or :dsps isnull) group by dsp, parent_rep_owner, account_id), min_max_data as ( select dsp, parent_rep_owner, account_id, min(date) as min_date, max(date) as max_date from data_health.ads_status_daily where status in ( SELECT UNNEST(cast(string_to_array(:statuses, ',') as data_health.data_health_status[])) ) and campaign_id is null group by dsp, parent_rep_owner, account_id), all_data as ( select dsp, parent_rep_owner, account_id from data_health.ads_status_daily where (dsp in (:dsps) or :dsps isnull) and ((account_id in (:accounts)) or :accounts isnull or account_id is null) and (parent_rep_owner in (:parenRepOwners) or :parenRepOwners isnull or parent_rep_owner is null) group by dsp, parent_rep_owner, account_id) select ad.dsp, ad.parent_rep_owner, ad.account_id, mm.min_date, mm.max_date, vu.date as valid_until from all_data ad left join min_max_data mm on ad.dsp = mm.dsp and ((ad.parent_rep_owner = mm.parent_rep_owner) or (ad.parent_rep_owner is null and mm.parent_rep_owner is null)) and ((ad.account_id = mm.account_id) or (ad.account_id is null and mm.account_id is null)) left join valid_until_data vu on ad.dsp = vu.dsp and ((ad.parent_rep_owner = vu.parent_rep_owner) or (ad.parent_rep_owner is null and vu.parent_rep_owner is null)) and ((ad.account_id = vu.account_id) or (ad.account_id is null and vu.account_id is null))

with valid_until_data as ( select breakdown, chart_type, market, max(date) as date from data_health.spotify_charts_status_daily where (breakdown in (:breakdowns) or :breakdowns is NULL) group by breakdown, chart_type, market ), min_max_data as ( select breakdown, chart_type, market, min(date) as min_date, max(date) as max_date from data_health.spotify_charts_status_daily where status in ( SELECT UNNEST(cast(string_to_array(:statuses, ',') as data_health.data_health_status[])) ) group by breakdown, chart_type, market ), all_data as ( select breakdown, chart_type, market from data_health.spotify_charts_status_daily where (breakdown in (:breakdowns) or :breakdowns is NULL) and (chart_type in (:chartTypes) or :chartTypes is NULL or chart_type is NULL) and (market in (:countryCodes) or :countryCodes is NULL or market is NULL) group by breakdown, chart_type, market ) select ad.breakdown, ad.chart_type, ad.market as country_code, mm.min_date, mm.max_date, vu.date as valid_until from all_data ad left join min_max_data mm on ad.breakdown = mm.breakdown and ((ad.chart_type = mm.chart_type) or (ad.chart_type is NULL and mm.chart_type is NULL)) and ((ad.market = mm.market) or (ad.market is NULL and mm.market is NULL)) left join valid_until_data vu on ad.breakdown = vu.breakdown and ((ad.chart_type = vu.chart_type) or (ad.chart_type is NULL and vu.chart_type is NULL)) and ((ad.market = vu.market) or (ad.market is NULL and vu.market is NULL))

with valid_until_data as ( select chart_type, market, max(date) as date, max(source_table_updated_at) as date_time, max(last_updated_time) as last_updated_time from data_health.apple_charts_status_daily group by chart_type, market ), min_max_data as ( select chart_type, market, min(date) as min_date, max(date) as max_date, min(source_table_updated_at) as min_time, max(source_table_updated_at) as max_time from data_health.apple_charts_status_daily where status in ( SELECT UNNEST(cast(string_to_array(:statuses, ',') as data_health.data_health_status[])) ) group by chart_type, market ), all_data as ( select chart_type, market from data_health.apple_charts_status_daily where TRUE and (market in (:countryCodes) or :countryCodes is NULL or market is NULL) group by chart_type, market ) select ad.chart_type, ad.market as country_code, mm.min_date, mm.max_date, vu.date as valid_until, mm.min_time as min_date_time, mm.max_time as max_date_time, vu.date_time as valid_until_time, vu.last_updated_time as last_update_date_time from all_data ad left join min_max_data mm on ((ad.chart_type = mm.chart_type) or (ad.chart_type is NULL and mm.chart_type is NULL)) and ((ad.market = mm.market) or (ad.market is NULL and mm.market is NULL)) left join valid_until_data vu on ((ad.chart_type = vu.chart_type) or (ad.chart_type is NULL and vu.chart_type is NULL)) and ((ad.market = vu.market) or (ad.market is NULL and vu.market is NULL))

select daily.dsp, daily.segment as dsp_segment, min(daily_with_status.date) as min_date, max(daily_with_status.date) as max_date, max(daily.date) as valid_until from data_health.dsp_status_daily daily left join data_health.dsp_status_daily daily_with_status on daily.dsp = daily_with_status.dsp and daily.segment = daily_with_status.segment and daily_with_status.status in (SELECT UNNEST(cast(string_to_array(:statuses, ',') as data_health.data_health_status[]))) where :dsps isnull or daily.dsp in (:dsps) group by daily.dsp, daily.segment

select distinct related_track.spotify_track_id from spotify.dim_spotify_track input_track inner join spotify.dim_spotify_track related_track on related_track.isrc = input_track.isrc where input_track.spotify_track_id in :trackIds

select distinct related_track.apple_music_track_id from apple.dim_apple_music_track input_track inner join apple.dim_apple_music_track related_track on related_track.isrc = input_track.isrc where input_track.apple_music_track_id in :trackIds

select input_isrc_track.isrc as isrc, array_agg(distinct related_track.isrc) as related_isrcs from track input_isrc_track inner join track related_track on related_track.prod_fam_no = input_isrc_track.prod_fam_no where input_isrc_track.config_cat_key = 'D' and input_isrc_track.isrc in (:isrcs) group by input_isrc_track.isrc

SELECT * FROM ( SELECT isrc, tiktok_song_id, product_code, song_title, label_name, artist, sublabel, rank() OVER (PARTITION BY isrc ORDER BY tiktok_song_id ) AS platform_song_id_rank FROM tiktok.dim_tiktok_top_song where isrc in (:isrcs) ) p where p.platform_song_id_rank = 1

with isrc_min_position as ( select report_date, country_code, period, track_isrc, min(position) as min_pos from spotify.streams_new_listeners where report_date = :reportDate and country_code = :countryCode and period = :periodDays and track_isrc is not null group by report_date, country_code, period, track_isrc order by min_pos asc limit :limit ) select snl.track_isrc, snl.track_id, snl.track_name, snl.total_discovered, snl.most_discoveries_source, isrc_min_position.min_pos as position from isrc_min_position inner join spotify.streams_new_listeners snl on snl.report_date = isrc_min_position.report_date and snl.country_code = isrc_min_position.country_code and snl.period = isrc_min_position.period and snl.position = isrc_min_position.min_pos and snl.track_isrc = isrc_min_position.track_isrc

select cm_amazon_playlist_id, amazon_playlist_id from amazon.cm_amazon_playlist_id_mapping where cm_amazon_playlist_id in (:cmAmazonPlaylistIds)

select playlist_id, country_code from public.playlist where playlist_id in (:playlistIds)

with valid_until_data as ( select chart_type, country_code, max(date) as date, max(source_table_updated_at) as date_time from data_health.amazon_charts_status_daily group by chart_type, country_code ), min_max_data as ( select chart_type, country_code, min(date) as min_date, max(date) as max_date, min(source_table_updated_at) as min_time, max(source_table_updated_at) as max_time from data_health.amazon_charts_status_daily where status in ( SELECT UNNEST(cast(string_to_array(:statuses, ',') as data_health.data_health_status[])) ) group by chart_type, country_code ), all_data as ( select chart_type, country_code from data_health.amazon_charts_status_daily where TRUE and (country_code in (:countryCodes) or :countryCodes is NULL or country_code is NULL) group by chart_type, country_code ) select ad.chart_type, ad.country_code, mm.min_date, mm.max_date, vu.date as valid_until, mm.min_time as min_date_time, mm.max_time as max_date_time, vu.date_time as valid_until_time from all_data ad left join min_max_data mm on ((ad.chart_type = mm.chart_type) or (ad.chart_type is NULL and mm.chart_type is NULL)) and ((ad.country_code = mm.country_code) or (ad.country_code is NULL and mm.country_code is NULL)) left join valid_until_data vu on ((ad.chart_type = vu.chart_type) or (ad.chart_type is NULL and vu.chart_type is NULL)) and ((ad.country_code = vu.country_code) or (ad.country_code is NULL and vu.country_code is NULL))

with current_positions as ( select ptlt.playlist_id from spotify.fact_public_spotify_playlist_track_lifetime ptlt left join spotify.fact_public_playlist_lifetime plt on ptlt.playlist_id=plt.playlist_id where ptlt.isrc in (:relatedIsrcs) and ( plt.playlist_updated_at_date_time is NULL or (ptlt.latest_date_time + interval '1 minutes') >= plt.playlist_updated_at_date_time ) ) select 'spotify' as dsp, lf.isrc, lf.playlist_id, sp.country_code as country_code, lf.earliest_position, lf.earliest_date_time, lf.latest_date_time from spotify.fact_public_spotify_playlist_track_lifetime lf left join spotify.dim_playlist sp on sp.playlist_id=lf.playlist_id where (cast(cast(:minLatestDate as text) as date) is NULL or date(lf.latest_date_time) >= cast(cast(:minLatestDate as text) as date)) and lf.isrc in (:relatedIsrcs) and (lf.playlist_id in (:playlistIds) or :playlistIds is NULL) and lf.playlist_id not in (select playlist_id from current_positions) and (coalesce(:countryCode) is null or sp.country_code in (:countryCode))

with current_positions as ( select ptlt.playlist_id, ptlt.country_code from apple.fact_public_apple_playlist_track_lifetime ptlt left join apple.fact_public_playlist_lifetime plt on ptlt.playlist_id=plt.playlist_id and ptlt.country_code=plt.country_code where ptlt.isrc in (:relatedIsrcs) and ( plt.playlist_updated_at_date_time is NULL or (ptlt.latest_date_time + interval '1 minutes') >= plt.playlist_updated_at_date_time ) ) select 'apple' as dsp, isrc, playlist_id, country_code, earliest_position, earliest_date_time, latest_date_time from apple.fact_public_apple_playlist_track_lifetime where (cast(cast(:minLatestDate as text) as date) is NULL or date(latest_date_time) >= cast(cast(:minLatestDate as text) as date)) and isrc in (:relatedIsrcs) and (playlist_id in (:playlistIds) or :playlistIds is NULL) and (country_code in (:countryCode) or :countryCode is NULL) and (playlist_id, country_code) not in (select playlist_id, country_code from current_positions)

select fact_tiktok_top_video_lifetime.video_id as video_id, v.posted_date as video_posted_date, v.username as video_username, views_growth_7_days as view_growth_7_days, views_growth_28_days as view_growth_28_days, views_growth_7_days_percent as view_growth_7_days_percent, views_growth_28_days_percent as view_growth_28_days_percent, views as views, likes as likes, comments as comments, row_number() over (order by case when :sort_by = 'views' then views end desc , case when :sort_by = 'views_growth_7_days' then views_growth_7_days end desc , case when :sort_by = 'views_growth_28_days' then views_growth_28_days end desc , v.video_id ) - 1 as position from tiktok.fact_tiktok_top_video_lifetime left outer join tiktok.dim_tiktok_video v on v.video_id = fact_tiktok_top_video_lifetime.video_id where fact_tiktok_top_video_lifetime.video_id in (:video_ids) order by position