本文介绍了如何每周获取前十大数据(本周、前一周、上个月、2个月前、3个月前)的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想检索排名前十的产品-每周
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
请帮助我了解如何从SQL查询中获取此类数据。谢谢
推荐答案
假设您有一个表:
CREATE TABLE your_table (
product VARCHAR2(20),
some_date_column DATE
)
然后您可以在RANK
分析函数中使用条件聚合:
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;
对于样本数据:
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.
(注意:这只是最近两周的数据,因此所有其他排名将并列。)
输出:
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