Loading plan…
SELECT
TOP 100
c_last_name,
c_first_name,
SUBSTRING(s_city, 1, 30),
ss_ticket_number,
amt,
profit
FROM (
SELECT
ss_ticket_number AS ss_ticket_number,
ss_customer_sk AS ss_customer_sk,
store.s_city AS s_city,
SUM(ss_coupon_amt) AS amt,
SUM(ss_net_profit) AS profit
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 (
household_demographics.hd_dep_count = 0
OR household_demographics.hd_vehicle_count > -1
)
AND date_dim.d_dow = 1
AND date_dim.d_year IN (1998, 1998 + 1, 1998 + 2)
AND store.s_number_employees BETWEEN 200 AND 295
GROUP BY
ss_ticket_number,
ss_customer_sk,
ss_addr_sk,
store.s_city
) AS ms, customer
WHERE
ss_customer_sk = c_customer_sk
ORDER BY
c_last_name,
c_first_name,
SUBSTRING(s_city, 1, 30),
profit;
Step details
Loading plan…
Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.