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SELECT
c_last_name,
c_first_name,
c_salutation,
c_preferred_cust_flag,
ss_ticket_number,
cnt
FROM (
SELECT
ss_ticket_number AS ss_ticket_number,
ss_customer_sk AS ss_customer_sk,
COUNT(*) AS cnt
FROM store_sales, date_dim, store, household_demographics
WHERE
store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_store_sk = store.s_store_sk
AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
AND date_dim.d_dom BETWEEN 1 AND 2
AND (
household_demographics.hd_buy_potential = '501-1000'
OR household_demographics.hd_buy_potential = '0-500'
)
AND household_demographics.hd_vehicle_count > 0
AND CASE
WHEN household_demographics.hd_vehicle_count > 0
THEN household_demographics.hd_dep_count / household_demographics.hd_vehicle_count
ELSE NULL
END > 1
AND date_dim.d_year IN (1998, 1998 + 1, 1998 + 2)
AND store.s_county IN ('Maverick County', 'Pennington County', 'San Miguel County', 'Walker County')
GROUP BY
ss_ticket_number,
ss_customer_sk
) AS dj, customer
WHERE
ss_customer_sk = c_customer_sk AND cnt BETWEEN 1 AND 5
ORDER BY
cnt DESC,
c_last_name ASC;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.