[英]How to GROUP BY same value in different rows with condition? (MYSQL)
I have this table:我有这张桌子:
+-----------+-----------+---------------------+
| id | member_id | date |
+-----------+-----------+---------------------+
| 1 | 2 | 2020-07-27 21:53:46 |
| 2 | 1 | 2020-07-27 22:03:58 |
| 3 | 1 | 2020-07-27 22:09:16 |
| 4 | 1 | 2020-07-27 22:11:33 |
| 5 | 2 | 2020-07-27 22:12:21 |
-----------------------------------------------
And I would like to GROUP BY
something like this:我想
GROUP BY
是这样的:
+-----------+-----------+---------------------+
| id | member_id | date |
+-----------+-----------+---------------------+
| 1 | 2 | 2020-07-27 21:53:46 |
| 2 | 1 | 2020-07-27 22:03:58 |
| 5 | 2 | 2020-07-27 22:12:21 |
-----------------------------------------------
But when I put GROUP BY member_id
it just return me two rows (1, 2)但是当我放
GROUP BY member_id
时,它只返回两行 (1, 2)
I understand this as a gaps-and-island problem, where you want to display the rows whose member_id
is different than the "previous" row.我将其理解为一个差距和孤岛问题,您希望在其中显示其
member_id
与“上一个”行不同的行。
Here is an approach using window functions (available in MySQL 8.0): lag()
gives the member_id
on the previous row, that we can then compare to the value on the current row:这是一种使用 window 函数(在 MySQL 8.0 中可用)的方法:
lag()
给出前一行的member_id
,然后我们可以将其与当前行的值进行比较:
select id, member_id, date
from (
select t.*, lag(member_id) over(order by date) lag_member_id
from mytable t
) t
where not lag_member_id <=> member_id
order by date
Demo on DB Fiddlde : DB Fiddlde 上的演示:
id | member_id | date -: | --------: | :------------------ 1 | 2 | 2020-07-27 21:53:46 2 | 1 | 2020-07-27 22:03:58 5 | 2 | 2020-07-27 22:12:21
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