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select top 100 count(*) from (
select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_customer_sk = customer.c_customer_sk
and d_month_seq between 1221 and 1221 + 11
and c_birth_month in (2, 8, 10, 11)
and ss_list_price between 241 and 300
and ss_wholesale_cost BETWEEN 73 AND 93
intersect
select distinct c_last_name, c_first_name, d_date
from catalog_sales, date_dim, customer
where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
and d_month_seq between 1221 and 1221 + 11
and c_birth_month in (2, 8, 10, 11)
and cs_list_price between 241 and 300
and cs_wholesale_cost BETWEEN 73 AND 93
intersect
select distinct c_last_name, c_first_name, d_date
from web_sales, date_dim, customer
where web_sales.ws_sold_date_sk = date_dim.d_date_sk
and web_sales.ws_bill_customer_sk = customer.c_customer_sk
and d_month_seq between 1221 and 1221 + 11
and c_birth_month in (2, 8, 10, 11)
and ws_list_price between 241 and 300
and ws_wholesale_cost BETWEEN 73 AND 93
) hot_cust
;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.