一张激活表TL_CSU_ACTIVATE_LOG:
一张用户表TV_CSU_USER
现在要查询2014-12to2015-12每月注册的不同类型(T,B,M,D)用户数,如下图:
sql 应该怎么写
参考Oracle行列转换
因为你的类型是固定的,所以直接查询,如果你的类型不固定,可以参考上面的链接。
SELECT TT.Month
,SUM(CASE WHEN TT.TYPE = 'B' THEN Count ELSE 0 END) AS B
,SUM(CASE WHEN TT.TYPE = 'M' THEN Count ELSE 0 END) AS M
,SUM(CASE WHEN TT.TYPE = 'D' THEN Count ELSE 0 END) AS D
,SUM(CASE WHEN TT.TYPE = 'T' THEN Count ELSE 0 END) AS T
FROM (
SELECT TO_CHAR(T1.ACTIVATE_TIME, 'yyyy-MM') AS Month
, T2.TYPE
, COUNT(*) AS Count
FROM TL_CSU_ACTIVATE_LOG T1
LEFT JOIN TV_CSU_USER T2 ON T2.USER_ID = T1.USER_ID
WHERE TO_CHAR(T1.ACTIVATE_TIME, 'yyyy-MM') >= '2014-12' AND TO_CHAR(T1.ACTIVATE_TIME, 'yyyy-MM') <= '2015-12'
GROUP BY T2.TYPE
) TT
GROUP BY TT.Month
ORDER BY TT.Month
完整语句:
select re.type,count(*) from (select * from (select * from tl_csu_activate_log t where
to_char(t.activate_time,'yyyy-MM')>='2014-12' and to_char(t.activate_time,'yyyy-MM')
<='2015-12') tcal left join TV_CSU_USER tcu on tcal.user_id=tcu.user_id) re group by type
简单说下查询原理:
select * from tl_csu_activate_log t where
to_char(t.activate_time,'yyyy-MM')>='2014-12' and to_char(t.activate_time,'yyyy-MM')
<='2015-12'
按时间过滤出激活表记录,取别名tcal
select * from tcal left join TV_CSU_USER tcu on tcal.user_id=tcu.user_id
用左连接把tcal和用户表记录连接成一个结果集,取别名re, 结果集类似于一张表,这样,2个表中的字段都在同一个表中了。
select re.type,count(*) from re group by type
最后一步,按照类型TYPE分组统计,就完成了。
查询不难,子查询一步一步的组合起来
SELECT
`LEFT` (A.ACTIVATE_TIME, 7),
B.TYPE,
COUNT(*)
FROM
TL_CSU_ACTIVATE_LOG A
LEFT JOIN TV_CSU_USER B ON A.USER_ID = B.USER_ID
GROUP BY
`LEFT` (A.ACTIVATE_TIME, 7),
B.TYPE
ORDER BY
`LEFT` (A.ACTIVATE_TIME, 7),
B.TYPE
把行转成列显示就行了,,,
时间的处理都没有就采纳了。需要查询每个月的,不是按已存在的时间统计。
SELECT SUM(DECODE(TO_CHAR(activate_time, 'yyyy-MM'), '2014-12', B.PRICE, 0)) M0,
SUM(DECODE(TO_CHAR(activate_time, 'yyyy-MM'), '2015-01', B.PRICE, 0)) M1,
....from result
时间的处理都没有就采纳了。需要查询每个月的,不是按已存在的时间统计。
SELECT SUM(DECODE(TO_CHAR(activate_time, 'yyyy-MM'), '2014-12', 1, 0)) M0,
SUM(DECODE(TO_CHAR(activate_time, 'yyyy-MM'), '2015-01', 1, 0)) M1,
....from result