blob: 1e02655927a9a52e7dac18c377512ba4729c386e [file] [log] [blame]
set hive.mapred.mode=nonstrict;
-- start query 1 in stream 0 using template query23.tpl and seed 2031708268
explain
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
from store_sales
,date_dim
,item
where ss_sold_date_sk = d_date_sk
and ss_item_sk = i_item_sk
and d_year in (1999,1999+1,1999+2,1999+3)
group by substr(i_item_desc,1,30),i_item_sk,d_date
having count(*) >4),
max_store_sales as
(select max(csales) tpcds_cmax
from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
from store_sales
,customer
,date_dim
where ss_customer_sk = c_customer_sk
and ss_sold_date_sk = d_date_sk
and d_year in (1999,1999+1,1999+2,1999+3)
group by c_customer_sk) x),
best_ss_customer as
(select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
from store_sales
,customer
where ss_customer_sk = c_customer_sk
group by c_customer_sk
having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
*
from
max_store_sales))
select sum(sales)
from ((select cs_quantity*cs_list_price sales
from catalog_sales
,date_dim
where d_year = 1999
and d_moy = 1
and cs_sold_date_sk = d_date_sk
and cs_item_sk in (select item_sk from frequent_ss_items)
and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer))
union all
(select ws_quantity*ws_list_price sales
from web_sales
,date_dim
where d_year = 1999
and d_moy = 1
and ws_sold_date_sk = d_date_sk
and ws_item_sk in (select item_sk from frequent_ss_items)
and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer))) y
limit 100;