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WITH wss AS (
SELECT
d_week_seq AS d_week_seq,
ss_store_sk AS ss_store_sk,
SUM(CASE WHEN (
d_day_name = 'Sunday'
) THEN ss_sales_price ELSE NULL END) AS sun_sales,
SUM(CASE WHEN (
d_day_name = 'Monday'
) THEN ss_sales_price ELSE NULL END) AS mon_sales,
SUM(CASE WHEN (
d_day_name = 'Tuesday'
) THEN ss_sales_price ELSE NULL END) AS tue_sales,
SUM(CASE WHEN (
d_day_name = 'Wednesday'
) THEN ss_sales_price ELSE NULL END) AS wed_sales,
SUM(CASE WHEN (
d_day_name = 'Thursday'
) THEN ss_sales_price ELSE NULL END) AS thu_sales,
SUM(CASE WHEN (
d_day_name = 'Friday'
) THEN ss_sales_price ELSE NULL END) AS fri_sales,
SUM(CASE WHEN (
d_day_name = 'Saturday'
) THEN ss_sales_price ELSE NULL END) AS sat_sales
FROM store_sales, date_dim
WHERE
d_date_sk = ss_sold_date_sk
GROUP BY
d_week_seq,
ss_store_sk
)
SELECT
TOP 100
s_store_name1,
s_store_id1,
d_week_seq1,
sun_sales1 / sun_sales2,
mon_sales1 / mon_sales2,
tue_sales1 / tue_sales2,
wed_sales1 / wed_sales2,
thu_sales1 / thu_sales2,
fri_sales1 / fri_sales2,
sat_sales1 / sat_sales2
FROM (
SELECT
s_store_name AS s_store_name1,
wss.d_week_seq AS d_week_seq1,
s_store_id AS s_store_id1,
sun_sales AS sun_sales1,
mon_sales AS mon_sales1,
tue_sales AS tue_sales1,
wed_sales AS wed_sales1,
thu_sales AS thu_sales1,
fri_sales AS fri_sales1,
sat_sales AS sat_sales1
FROM wss, store, date_dim AS d
WHERE
d.d_week_seq = wss.d_week_seq
AND ss_store_sk = s_store_sk
AND d_month_seq BETWEEN 1197 AND 1197 + 11
) AS y, (
SELECT
s_store_name AS s_store_name2,
wss.d_week_seq AS d_week_seq2,
s_store_id AS s_store_id2,
sun_sales AS sun_sales2,
mon_sales AS mon_sales2,
tue_sales AS tue_sales2,
wed_sales AS wed_sales2,
thu_sales AS thu_sales2,
fri_sales AS fri_sales2,
sat_sales AS sat_sales2
FROM wss, store, date_dim AS d
WHERE
d.d_week_seq = wss.d_week_seq
AND ss_store_sk = s_store_sk
AND d_month_seq BETWEEN 1197 + 12 AND 1197 + 23
) AS x
WHERE
s_store_id1 = s_store_id2 AND d_week_seq1 = d_week_seq2 - 52
ORDER BY
s_store_name1,
s_store_id1,
d_week_seq1;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.