Merge pull request #11788 from ydb-platform/mergelibs-241120-1113

Library import 241120-1113

1 files changed, 213 insertions, 0 deletions

diff --git a/yql/essentials/tests/sql/suites/pg-tpcds/q14.sql b/yql/essentials/tests/sql/suites/pg-tpcds/q14.sql
new file mode 100644
index 0000000000..00cc9da131
--- /dev/null
+++ b/yql/essentials/tests/sql/suites/pg-tpcds/q14.sql
@@ -0,0 +1,213 @@
+--!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