另一列中每个值的distinct of列计数

8ehkhllq  于 2021-06-20  发布在  Mysql
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我有一张像下面这样的table MySQL . 我要选择 serial_num , devicetype , device_model 以及 distinct of timestamp for each serial_num ```
+-------------+-----------------+---------------+------------------------+
| serial_num | devicetype | device_model | timestamp |
+-------------+-----------------+---------------+------------------------+
| 58172A0396 | | | 2003-01-02 17:37:15.0 |
| 58172A0396 | | | 2003-01-02 17:37:15.0 |
| 46C5Y00693 | Mac Pro | Mac PC | 2018-01-03 17:17:23.0 |
| 1737K7008F | Windows PC | Windows PC | 2018-01-05 11:12:31.0 |
| 1737K7008F | Network Device | Unknown | 2018-01-05 11:12:31.0 |
| 1737K7008F | Network Device | Unknown | 2018-01-05 11:12:31.0 |
| 1737K7008F | Network Device | | 2018-01-06 03:12:52.0 |
| 1737K7008F | Windows PC | Windows PC | 2018-01-06 03:12:52.0 |
| 1737K7008F | Network Device | Unknown | 2018-01-06 03:12:52.0 |
| 1665NF01F3 | Network Device | Unknown | 2018-01-07 03:42:34.0 |
+----------------+-----------------+---------------+---------------------+

我已经试过了

select
serial_num,
devicetype,
device_model,
count(distinct timestamp)
from table
group by serialnum, devicetype, device_model

我想要的结果是

+-------------+-----------------+---------------+-----+
| serial_num | devicetype | device_model |count|
+-------------+-----------------+---------------+-----+
| 58172A0396 | | | 1 |
| 58172A0396 | | | 1 |
| 46C5Y00693 | Mac Pro | Mac PC | 1 |
| 1737K7008F | Windows PC | Windows PC | 2 |
| 1737K7008F | Network Device | Unknown | 2 |
| 1737K7008F | Network Device | Unknown | 2 |
| 1737K7008F | Network Device | | 2 |
| 1737K7008F | Windows PC | Windows PC | 2 |
| 1737K7008F | Network Device | Unknown | 2 |
| 1665NF01F3 | Network Device | Unknown | 1 |
+-------------+-----------------+---------------+-----+

我怎样才能做到这一点?
rnmwe5a2

rnmwe5a21#

仅按序列号将表连接到自身以获取计数:

select
    t1.serial_num,
    t1.devicetype,
    t1.device_model,
    count(distinct t2.timestamp)
from table t1
join table t2 on t1.serial_num = t2.serial_num
group by 1, 2, 3

这允许表的每一行都在结果行中,同时查找所有时间戳,这需要命中其他行。

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