我正在进行一项查询,它将计算每个用户的唯一登录天数,将它们放入一个桶中(1-2,3-4个登录日等),并返回每个用户的数量.按部门划分.如果不太清楚我会道歉,希望下面的例子有助于说明我的问题.
我有这样一张桌子:
+-------------+-----------+------------+-----------------+
| time | user_name | dept | event |
+-------------+-----------+------------+-----------------+
| 2016-01-04 | Joe | finance | logged in |
| 2016-01-04 | Jeff | marketing | logged in |
| 2016-01-04 | Jeff | marketing | project created |
| 2016-01-04 | Bob | finance | logged in |
| 2016-01-04 | Mark | accounting | logged in |
| 2016-01-05 | Bob | finance | logged in |
| 2016-01-08 | Bob | finance | logged in |
| 2016-01-09 | Jeff | marketing | logged in |
| 2016-01-10 | Jeff | marketing | logged in |
| 2016-01-11 | Nate | accounting | logged in |
| 2016-01-11 | Nate | accounting | project created |
+-------------+-----------+------------+-----------------+
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我想返回一个这样的表:
+------------------+-----------------+------------+
| number of logins | number of users | dept |
+------------------+-----------------+------------+
| 1-2 | 1 | finance |
| 3-4 | 1 | finance |
| 5+ | 0 | finance |
| 1-2 | 0 | marketing |
| 3-4 | 1 | marketing |
| 5+ | 0 | marketing |
| 1-2 | 2 | accounting |
| 3-4 | 0 | accounting |
| 5+ | 0 | accounting |
+------------------+-----------------+------------+
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截至目前,我的查询如下:
select
(case when count(distinct(`time`)) between 1 and 2 then '1-2'
when count(distinct(`time`)) between 3 and 4 then '3-4'
else '5+'
end) as buckets, dept, user_name
from change_log where event in ('logged in')
group by dept, user_name
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然而,这会返回一个如下表格,这是我能够达到我想要的最接近的表格,但我不知道如何将其推广到只有桶和部门.
+---------+------------+-----------+
| buckets | dept | user_name |
+---------+------------+-----------+
| 1-2 | accounting | Mark |
| 1-2 | accounting | Nate |
| 3-4 | finance | Bob |
| 1-2 | finance | Joe |
| 3-4 | marketing | Jeff |
+---------+------------+-----------+
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像这样的东西吗?
select buckets, dept, count(user_name) no_of_u from
(select
(case when count(distinct(`time`)) between 1 and 2 then '1-2'
when count(distinct(`time`)) between 3 and 4 then '3-4'
else '5+'
end) as buckets, dept, user_name
from change_log where event in ('logged in')
group by dept, user_name)
group by buckets, dept
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