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select
min(s_store_name)
,min(s_company_id)
,min(s_street_number)
,min(s_street_name)
,min(s_suite_number)
,min(s_city)
,min(s_zip)
,min(ss_ticket_number)
,min(ss_sold_date_sk)
,min(sr_returned_date_sk)
,min(ss_item_sk)
,min(d1.d_date_sk)
from
store_sales
,store_returns
,store
,date_dim d1
,date_dim d2
where
d2.d_moy = 2
and ss_ticket_number = sr_ticket_number
and ss_item_sk = sr_item_sk
and ss_sold_date_sk = d1.d_date_sk
and sr_returned_date_sk = d2.d_date_sk
and ss_customer_sk = sr_customer_sk
and ss_store_sk = s_store_sk
and sr_store_sk = s_store_sk
and d1.d_date between dateadd(day, -120, d2.d_date)
and d2.d_date
and d1.d_dow = 1
and s_state in ('IN','MS','WI')
;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.