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WITH customer_total_return AS (
SELECT
sr_customer_sk AS ctr_customer_sk,
sr_store_sk AS ctr_store_sk,
sr_reason_sk AS ctr_reason_sk,
SUM(sr_return_amt_inc_tax) AS ctr_total_return
FROM store_returns, date_dim
WHERE
sr_returned_date_sk = d_date_sk
AND d_year = 1999
AND sr_return_amt / sr_return_quantity BETWEEN 80 AND 139
GROUP BY
sr_customer_sk,
sr_store_sk,
sr_reason_sk
)
SELECT
TOP 100
c_customer_id
FROM customer_total_return AS ctr1, store, customer, customer_demographics
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 ctr1.ctr_reason_sk BETWEEN 72 AND 75
AND s_store_sk = ctr1.ctr_store_sk
AND s_state IN ('IA', 'KS', 'NC')
AND ctr1.ctr_customer_sk = c_customer_sk
AND c_current_cdemo_sk = cd_demo_sk
AND cd_marital_status IN ('U', 'D')
AND cd_education_status IN ('2 yr Degree', 'College')
AND cd_gender = 'F'
AND c_birth_month = 8
AND c_birth_year BETWEEN 1987 AND 1993
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.