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authorAlexander Smirnov <alex@ydb.tech>2024-11-20 11:14:58 +0000
committerAlexander Smirnov <alex@ydb.tech>2024-11-20 11:14:58 +0000
commit31773f157bf8164364649b5f470f52dece0a4317 (patch)
tree33d0f7eef45303ab68cf08ab381ce5e5e36c5240 /yql/essentials/tests/sql/suites/pg-tpcds/q14.sql
parent2c7938962d8689e175574fc1e817c05049f27905 (diff)
parenteff600952d5dfe17942f38f510a8ac2b203bb3a5 (diff)
downloadydb-31773f157bf8164364649b5f470f52dece0a4317.tar.gz
Merge branch 'rightlib' into mergelibs-241120-1113
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+--!syntax_pg
+--TPC-DS Q14
+
+-- start query 1 in stream 0 using template ../query_templates/query14.tpl
+with cross_items as
+ (select i_item_sk ss_item_sk
+ from plato.item,
+ (select iss.i_brand_id brand_id
+ ,iss.i_class_id class_id
+ ,iss.i_category_id category_id
+ from plato.store_sales
+ ,plato.item iss
+ ,plato.date_dim d1
+ where ss_item_sk = iss.i_item_sk
+ and ss_sold_date_sk = d1.d_date_sk
+ and d1.d_year between 1998 AND 1998 + 2
+ intersect
+ select ics.i_brand_id
+ ,ics.i_class_id
+ ,ics.i_category_id
+ from plato.catalog_sales
+ ,plato.item ics
+ ,plato.date_dim d2
+ where cs_item_sk = ics.i_item_sk
+ and cs_sold_date_sk = d2.d_date_sk
+ and d2.d_year between 1998 AND 1998 + 2
+ intersect
+ select iws.i_brand_id
+ ,iws.i_class_id
+ ,iws.i_category_id
+ from plato.web_sales
+ ,plato.item iws
+ ,plato.date_dim d3
+ where ws_item_sk = iws.i_item_sk
+ and ws_sold_date_sk = d3.d_date_sk
+ and d3.d_year between 1998 AND 1998 + 2) a
+ where i_brand_id = brand_id
+ and i_class_id = class_id
+ and i_category_id = category_id
+),
+ avg_sales as
+ (select avg(quantity::numeric*list_price) average_sales
+ from (select ss_quantity quantity
+ ,ss_list_price list_price
+ from plato.store_sales
+ ,plato.date_dim
+ where ss_sold_date_sk = d_date_sk
+ and d_year between 1998 and 1998 + 2
+ union all
+ select cs_quantity quantity
+ ,cs_list_price list_price
+ from plato.catalog_sales
+ ,plato.date_dim
+ where cs_sold_date_sk = d_date_sk
+ and d_year between 1998 and 1998 + 2
+ union all
+ select ws_quantity quantity
+ ,ws_list_price list_price
+ from plato.web_sales
+ ,plato.date_dim
+ where ws_sold_date_sk = d_date_sk
+ and d_year between 1998 and 1998 + 2) x)
+ select channel, i_brand_id,i_class_id,i_category_id,sum(sales) sum_sales, sum(number_sales) sum_num_sales
+ from(
+ select 'store' channel, i_brand_id,i_class_id
+ ,i_category_id,sum(ss_quantity::numeric*ss_list_price) sales
+ , count(*) number_sales
+ from plato.store_sales
+ ,plato.item
+ ,plato.date_dim
+ where ss_item_sk in (select ss_item_sk from cross_items)
+ and ss_item_sk = i_item_sk
+ and ss_sold_date_sk = d_date_sk
+ and d_year = 1998+2
+ and d_moy = 11
+ group by i_brand_id,i_class_id,i_category_id
+ having sum(ss_quantity::numeric*ss_list_price) > (select average_sales from avg_sales)
+ union all
+ select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity::numeric*cs_list_price) sales, count(*) number_sales
+ from plato.catalog_sales
+ ,plato.item
+ ,plato.date_dim
+ where cs_item_sk in (select ss_item_sk from cross_items)
+ and cs_item_sk = i_item_sk
+ and cs_sold_date_sk = d_date_sk
+ and d_year = 1998+2
+ and d_moy = 11
+ group by i_brand_id,i_class_id,i_category_id
+ having sum(cs_quantity::numeric*cs_list_price) > (select average_sales from avg_sales)
+ union all
+ select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity::numeric*ws_list_price) sales , count(*) number_sales
+ from plato.web_sales
+ ,plato.item
+ ,plato.date_dim
+ where ws_item_sk in (select ss_item_sk from cross_items)
+ and ws_item_sk = i_item_sk
+ and ws_sold_date_sk = d_date_sk
+ and d_year = 1998+2
+ and d_moy = 11
+ group by i_brand_id,i_class_id,i_category_id
+ having sum(ws_quantity::numeric*ws_list_price) > (select average_sales from avg_sales)
+ ) y
+ group by rollup (channel, i_brand_id,i_class_id,i_category_id)
+ order by channel,i_brand_id,i_class_id,i_category_id
+ limit 100;
+with cross_items as
+ (select i_item_sk ss_item_sk
+ from plato.item,
+ (select iss.i_brand_id brand_id
+ ,iss.i_class_id class_id
+ ,iss.i_category_id category_id
+ from plato.store_sales
+ ,plato.item iss
+ ,plato.date_dim d1
+ where ss_item_sk = iss.i_item_sk
+ and ss_sold_date_sk = d1.d_date_sk
+ and d1.d_year between 1998 AND 1998 + 2
+ intersect
+ select ics.i_brand_id
+ ,ics.i_class_id
+ ,ics.i_category_id
+ from plato.catalog_sales
+ ,plato.item ics
+ ,plato.date_dim d2
+ where cs_item_sk = ics.i_item_sk
+ and cs_sold_date_sk = d2.d_date_sk
+ and d2.d_year between 1998 AND 1998 + 2
+ intersect
+ select iws.i_brand_id
+ ,iws.i_class_id
+ ,iws.i_category_id
+ from plato.web_sales
+ ,plato.item iws
+ ,plato.date_dim d3
+ where ws_item_sk = iws.i_item_sk
+ and ws_sold_date_sk = d3.d_date_sk
+ and d3.d_year between 1998 AND 1998 + 2) x
+ where i_brand_id = brand_id
+ and i_class_id = class_id
+ and i_category_id = category_id
+),
+ avg_sales as
+(select avg(quantity::numeric*list_price) average_sales
+ from (select ss_quantity quantity
+ ,ss_list_price list_price
+ from plato.store_sales
+ ,plato.date_dim
+ where ss_sold_date_sk = d_date_sk
+ and d_year between 1998 and 1998 + 2
+ union all
+ select cs_quantity quantity
+ ,cs_list_price list_price
+ from plato.catalog_sales
+ ,plato.date_dim
+ where cs_sold_date_sk = d_date_sk
+ and d_year between 1998 and 1998 + 2
+ union all
+ select ws_quantity quantity
+ ,ws_list_price list_price
+ from plato.web_sales
+ ,plato.date_dim
+ where ws_sold_date_sk = d_date_sk
+ and d_year between 1998 and 1998 + 2) x)
+ select this_year.channel ty_channel
+ ,this_year.i_brand_id ty_brand
+ ,this_year.i_class_id ty_class
+ ,this_year.i_category_id ty_category
+ ,this_year.sales ty_sales
+ ,this_year.number_sales ty_number_sales
+ ,last_year.channel ly_channel
+ ,last_year.i_brand_id ly_brand
+ ,last_year.i_class_id ly_class
+ ,last_year.i_category_id ly_category
+ ,last_year.sales ly_sales
+ ,last_year.number_sales ly_number_sales
+ from
+ (select 'store' channel, i_brand_id,i_class_id,i_category_id
+ ,sum(ss_quantity::numeric*ss_list_price) sales, count(*) number_sales
+ from plato.store_sales
+ ,plato.item
+ ,plato.date_dim
+ where ss_item_sk in (select ss_item_sk from cross_items)
+ and ss_item_sk = i_item_sk
+ and ss_sold_date_sk = d_date_sk
+ and d_week_seq = (select d_week_seq
+ from plato.date_dim
+ where d_year = 1998 + 1
+ and d_moy = 12
+ and d_dom = 16)
+ group by i_brand_id,i_class_id,i_category_id
+ having sum(ss_quantity::numeric*ss_list_price) > (select average_sales from avg_sales)) this_year,
+ (select 'store' channel, i_brand_id,i_class_id
+ ,i_category_id, sum(ss_quantity::numeric*ss_list_price) sales, count(*) number_sales
+ from plato.store_sales
+ ,plato.item
+ ,plato.date_dim
+ where ss_item_sk in (select ss_item_sk from cross_items)
+ and ss_item_sk = i_item_sk
+ and ss_sold_date_sk = d_date_sk
+ and d_week_seq = (select d_week_seq
+ from plato.date_dim
+ where d_year = 1998
+ and d_moy = 12
+ and d_dom = 16)
+ group by i_brand_id,i_class_id,i_category_id
+ having sum(ss_quantity::numeric*ss_list_price) > (select average_sales from avg_sales)) last_year
+ where this_year.i_brand_id= last_year.i_brand_id
+ and this_year.i_class_id = last_year.i_class_id
+ and this_year.i_category_id = last_year.i_category_id
+ order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id
+ limit 100;
+
+-- end query 1 in stream 0 using template ../query_templates/query14.tpl