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SELECT
TOP 100
cd_gender,
cd_marital_status,
cd_education_status,
COUNT(*) AS cnt1,
cd_purchase_estimate,
COUNT(*) AS cnt2,
cd_credit_rating,
COUNT(*) AS cnt3,
cd_dep_count,
COUNT(*) AS cnt4,
cd_dep_employed_count,
COUNT(*) AS cnt5,
cd_dep_college_count,
COUNT(*) AS cnt6
FROM customer AS c, customer_address AS ca, customer_demographics
WHERE
c.c_current_addr_sk = ca.ca_address_sk
AND ca_county IN (
'Texas County',
'Tom Green County',
'Rockcastle County',
'Mercer County',
'Monroe County'
)
AND cd_demo_sk = c.c_current_cdemo_sk
AND EXISTS(
SELECT
*
FROM store_sales, date_dim
WHERE
c.c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 2001
AND d_moy BETWEEN 2 AND 2 + 3
)
AND (
EXISTS(
SELECT
*
FROM web_sales, date_dim
WHERE
c.c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 2001
AND d_moy BETWEEN 2 AND 2 + 3
)
OR EXISTS(
SELECT
*
FROM catalog_sales, date_dim
WHERE
c.c_customer_sk = cs_ship_customer_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 2001
AND d_moy BETWEEN 2 AND 2 + 3
)
)
GROUP BY
cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
ORDER BY
cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.