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select top 100
count(distinct ws_order_number) as "order count"
,sum(ws_ext_ship_cost) as "total shipping cost"
,sum(ws_net_profit) as "total net profit"
from
web_sales ws1
,date_dim
,customer_address
,web_site
where
d_date between '2002-6-01' and
dateadd(day, 60, cast('2002-6-01' as date))
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state in ('AR','GA','IL'
,'SD' ,'TX' ,'WI')
and ws1.ws_web_site_sk = web_site_sk
and web_gmt_offset >= -5
and ws1.ws_list_price between 226 and 255
and exists (select *
from web_sales ws2
where ws1.ws_order_number = ws2.ws_order_number
and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
and not exists(select *
from web_returns wr1
where ws1.ws_order_number = wr1.wr_order_number
and wr1.wr_reason_sk in (3, 6, 18, 30, 40)
)
order by count(distinct ws_order_number)
;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.