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WITH customer_total_return AS (
SELECT
sr_customer_sk AS ctr_customer_sk,
sr_store_sk AS ctr_store_sk,
SUM(sr_fee) AS ctr_total_return
FROM store_returns, date_dim
WHERE
sr_returned_date_sk = d_date_sk AND d_year = 2000
GROUP BY
sr_customer_sk,
sr_store_sk
)
SELECT
TOP 100
c_customer_id
FROM customer_total_return AS ctr1, store, customer
WHERE
ctr1.ctr_total_return > (
SELECT
AVG(ctr_total_return) * 1.2
FROM customer_total_return AS ctr2
WHERE
ctr1.ctr_store_sk = ctr2.ctr_store_sk
)
AND s_store_sk = ctr1.ctr_store_sk
AND s_state = 'NM'
AND ctr1.ctr_customer_sk = c_customer_sk
ORDER BY
c_customer_id;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.