sdks/java/testing/tpcds/src/main/resources/queries/query14.sql

-- Licensed to the Apache Software Foundation (ASF) under one
-- or more contributor license agreements.  See the NOTICE file
-- distributed with this work for additional information
-- regarding copyright ownership.  The ASF licenses this file
-- to you under the Apache License, Version 2.0 (the
-- "License"); you may not use this file except in compliance
-- with the License.  You may obtain a copy of the License at
--
--     http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.

with  cross_items as
 (select i_item_sk ss_item_sk
 from item,
 (select iss.i_brand_id brand_id
     ,iss.i_class_id class_id
     ,iss.i_category_id category_id
 from store_sales
     ,item iss
     ,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 catalog_sales
     ,item ics
     ,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 web_sales
     ,item iws
     ,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)
 where i_brand_id = brand_id
      and i_class_id = class_id
      and i_category_id = category_id
),
 avg_sales as
 (select avg(quantity*list_price) average_sales
  from (select ss_quantity quantity
             ,ss_list_price list_price
       from store_sales
           ,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 catalog_sales
           ,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 web_sales
           ,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(number_sales)
 from(
       select 'store' channel, i_brand_id,i_class_id
             ,i_category_id,sum(ss_quantity*ss_list_price) sales
             , count(*) number_sales
       from store_sales
           ,item
           ,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*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*cs_list_price) sales, count(*) number_sales
       from catalog_sales
           ,item
           ,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*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*ws_list_price) sales , count(*) number_sales
       from web_sales
           ,item
           ,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*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 item,
 (select iss.i_brand_id brand_id
     ,iss.i_class_id class_id
     ,iss.i_category_id category_id
 from store_sales
     ,item iss
     ,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 catalog_sales
     ,item ics
     ,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 web_sales
     ,item iws
     ,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*list_price) average_sales
  from (select ss_quantity quantity
             ,ss_list_price list_price
       from store_sales
           ,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 catalog_sales
           ,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 web_sales
           ,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*ss_list_price) sales, count(*) number_sales
 from store_sales 
     ,item
     ,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 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*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*ss_list_price) sales, count(*) number_sales
 from store_sales
     ,item
     ,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 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*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