Reputation: 387
I want to retrieve the Top 10 Products - weekly
Rank This week product Previous week rank Last month rank 2 month ago rank 3 month ago rank
1 Watch 2 3 1 4
2 Radio 3 2 4 5
3 Pen 4 5 6 7
4
5
6
7
8
9
10
Please help me with how to get this type of data from SQL queries. Thanks
Upvotes: -1
Views: 110
Reputation: 167972
Assuming you have a table:
CREATE TABLE your_table (
product VARCHAR2(20),
some_date_column DATE
)
Then you can use conditional aggregation inside the RANK
analytic function:
SELECT product,
RANK() OVER (
ORDER BY COUNT(
CASE
WHEN some_date_column >= TRUNC(SYSDATE, 'IW')
AND some_date_column < TRUNC(SYSDATE, 'IW') + INTERVAL '7' DAY
THEN 1
END
) DESC
) AS rank_this_week,
RANK() OVER (
ORDER BY COUNT(
CASE
WHEN some_date_column >= TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY
AND some_date_column < TRUNC(SYSDATE, 'IW')
THEN 1
END
) DESC
) AS rank_last_week,
RANK() OVER (
ORDER BY COUNT(
CASE
WHEN some_date_column >= ADD_MONTHS(TRUNC(SYSDATE, 'IW'), -1)
AND some_date_column < TRUNC(SYSDATE, 'MM')
THEN 1
END
) DESC
) AS rank_last_month,
RANK() OVER (
ORDER BY COUNT(
CASE
WHEN some_date_column >= ADD_MONTHS(TRUNC(SYSDATE, 'IW'), -2)
AND some_date_column < ADD_MONTHS(TRUNC(SYSDATE, 'IW'), -1)
THEN 1
END
) DESC
) AS rank_two_month,
RANK() OVER (
ORDER BY COUNT(
CASE
WHEN some_date_column >= ADD_MONTHS(TRUNC(SYSDATE, 'IW'), -3)
AND some_date_column < ADD_MONTHS(TRUNC(SYSDATE, 'IW'), -2)
THEN 1
END
) DESC
) AS rank_three_month
FROM your_table
WHERE some_date_column < TRUNC(SYSDATE, 'IW') + INTERVAL '7' DAY
AND some_date_column >= ADD_MONTHS(TRUNC(SYSDATE, 'IW'), -3)
GROUP BY product
ORDER BY rank_this_week
FETCH FIRST 10 ROWS WITH TIES;
Which, for the sample data:
INSERT INTO your_table (product, some_date_column)
SELECT 'A', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 1 UNION ALL
SELECT 'B', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 2 UNION ALL
SELECT 'C', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 3 UNION ALL
SELECT 'D', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 4 UNION ALL
SELECT 'E', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 5 UNION ALL
SELECT 'F', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 6 UNION ALL
SELECT 'G', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 7 UNION ALL
SELECT 'H', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 8 UNION ALL
SELECT 'I', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 9 UNION ALL
SELECT 'J', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 10 UNION ALL
SELECT 'K', TRUNC(SYSDATE, 'IW') FROM DUAL CONNECT BY LEVEL <= 11 UNION ALL
SELECT 'A', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 3 UNION ALL
SELECT 'B', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 3 UNION ALL
SELECT 'C', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 1 UNION ALL
SELECT 'D', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 2 UNION ALL
SELECT 'E', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 5 UNION ALL
SELECT 'F', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 7 UNION ALL
SELECT 'G', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 6 UNION ALL
SELECT 'H', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 4 UNION ALL
SELECT 'I', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 5 UNION ALL
SELECT 'J', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 3 UNION ALL
SELECT 'K', TRUNC(SYSDATE, 'IW') - INTERVAL '7' DAY FROM DUAL CONNECT BY LEVEL <= 2
-- Etc.
(Note: this only has data for the last 2 weeks so all the other ranks will be ties.)
Outputs:
PRODUCT RANK_THIS_WEEK RANK_LAST_WEEK RANK_LAST_MONTH RANK_TWO_MONTH RANK_THREE_MONTH K 1 9 1 1 1 J 2 6 1 1 1 I 3 3 1 1 1 H 4 5 1 1 1 G 5 2 1 1 1 F 6 1 1 1 1 E 7 3 1 1 1 D 8 9 1 1 1 C 9 11 1 1 1 B 10 6 1 1 1
db<>fiddle here
Upvotes: 1