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WITH ws_wh AS (
SELECT
ws1.ws_order_number AS ws_order_number,
ws1.ws_warehouse_sk AS wh1,
ws2.ws_warehouse_sk AS wh2
FROM web_sales AS ws1, web_sales AS ws2
WHERE
ws1.ws_order_number = ws2.ws_order_number
AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk
)
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 AS ws1, date_dim, customer_address, web_site
WHERE
d_date BETWEEN '2001-4-01' AND (
DATEADD(DAY, 60, CAST('2001-4-01' AS DATE))
)
AND ws1.ws_ship_date_sk = d_date_sk
AND ws1.ws_ship_addr_sk = ca_address_sk
AND ca_state = 'GA'
AND ws1.ws_web_site_sk = web_site_sk
AND web_company_name = 'pri'
AND ws1.ws_order_number IN (
SELECT
ws_order_number
FROM ws_wh
)
AND ws1.ws_order_number IN (
SELECT
wr_order_number
FROM web_returns, ws_wh
WHERE
wr_order_number = ws_wh.ws_order_number
)
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.