Loading plan…
SELECT
TOP 100
i_item_id,
i_item_desc,
s_store_id,
s_store_name,
MIN(ss_quantity) AS store_sales_quantity,
MIN(sr_return_quantity) AS store_returns_quantity,
MIN(cs_quantity) AS catalog_sales_quantity
FROM store_sales, store_returns, catalog_sales, date_dim AS d1, date_dim AS d2, date_dim AS d3, store, item
WHERE
d1.d_moy = 4
AND d1.d_year = 1998
AND d1.d_date_sk = ss_sold_date_sk
AND i_item_sk = ss_item_sk
AND s_store_sk = ss_store_sk
AND ss_customer_sk = sr_customer_sk
AND ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number
AND sr_returned_date_sk = d2.d_date_sk
AND d2.d_moy BETWEEN 4 AND 4 + 3
AND d2.d_year = 1998
AND sr_customer_sk = cs_bill_customer_sk
AND sr_item_sk = cs_item_sk
AND cs_sold_date_sk = d3.d_date_sk
AND d3.d_year IN (1998, 1998 + 1, 1998 + 2)
GROUP BY
i_item_id,
i_item_desc,
s_store_id,
s_store_name
ORDER BY
i_item_id,
i_item_desc,
s_store_id,
s_store_name;
Step details
Loading plan…
Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.