[英]GROUP BY and LEFT JOIN with COUNT from same table
要根據年份,類型和訂單按月計數
這是我的user table
:
id type uname date_created
1 fac a 2015-12-28 17:11:19
2 cs b 2015-12-23 19:09:51
3 cs c 2015-12-23 19:09:21
4 stu d 2015-12-31 18:12:41
5 fac e 2015-11-11 00:00:00
6 fac f 2015-10-07 00:00:00
預期結果:
fac stu cs
1 1 2 // month january
1 0 0 // month octomber
1 0 0 // month november
我試過的是:
SELECT count(u1.id) as fac, count(u2.id) as stu, count(u3.id) as cs
FROM user u
left join user u1 ON u1.faculty = 'yes' AND YEAR(u1.date_created) = 2015
left join user u2 ON u2.faculty = 'no' AND YEAR(u2.date_created) = 2015
left join user u3 ON u3.faculty = 'club_student' AND YEAR(u3.date_created) = 2015
GROUP BY MONTH(u.date_created) ORDER BY MONTH(u.date_created)
給我錯誤的結果,例如:
fac stu cs
6 6 6
6 6 6
24 24 24
您需要一個PIVOT
命令將行轉置為列。 實際上,MySQL不支持這種操作,因此我們需要使用CASE WHEN
手動進行操作(請參見SQLFiddle ):
select
month(date_created) as month,
count(case when faculty = 'yes' THEN 1 END) as fac,
count(case when faculty = 'no' THEN 1 END) as stu,
count(case when faculty = 'club_student' THEN 1 END) as cs
from user
where 1=1
and date_created >= STR_TO_DATE('01-01-2015','%d-%m-%Y')
and date_created < STR_TO_DATE('01-01-2016','%d-%m-%Y')
group by month(date_created)
order by month(date_created)
實際上,您的聯接語法沒有意義...您需要進行三次聯接以計算每個表中的id ...截至左聯接時,只要存在聯接匹配項,這些表中的數據就會返回,在不匹配的情況下返回null ...在COUNT
聚合函數中不計算null值,因此您的聯接語法可以簡化為INNER
聯接語法。 但是,您甚至不需要INNER
FROM
,因為您正在FROM
相同的表,並且實際上您並不將FROM
表中的任何列與JOIN
表相關聯。
這樣,您定義的過濾器可以簡化為WHERE
過濾器和CASE WHEN
過濾器(如我所建議的)。
試試count(distinct)
:
SELECT count(distinct u1.id) as fac, count(distinct u2.id) as stu,
count(distinct u3.id) as cs
FROM user u left join
user u1
ON u1.faculty = 'yes' AND YEAR(u1.date_created) = 2015 left join
user u2
ON u2.faculty = 'no' AND YEAR(u2.date_created) = 2015 left join
user u3
ON u3.faculty = 'club_student' AND YEAR(u3.date_created) = 2015
GROUP BY MONTH(u.date_created) ORDER BY MONTH(u.date_created)
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