[英]how to update max row per group in SQL
I just added the 'default' column to my DB. 我刚刚在数据库中添加了“默认”列。 I am trying to set the default value to '1' based on the latest 'addDate' per accountId.
我正在尝试根据每个accountId的最新“ addDate”将默认值设置为“ 1”。
+----+-----------+--------------------+--------+
| id | accountId | addDate | default|
+----+-----------+--------------------+--------+
| 1 | 45 |2012-02-29 08:41:59 | |
| 2 | 55 |2012-03-29 08:41:59 | |
| 3 | 45 |2012-04-29 08:41:59 | |
| 4 | 55 |2012-05-29 08:41:59 | |
| 5 | 60 |2012-05-29 08:41:59 | |
+----+-----------+--------------------+--------+
I found I was able to isolate the proper rows by using => 我发现我可以通过使用=>隔离正确的行
select * from tble1
where addDate = (select max(addDate) from tble1 as sl where sl.accountId = tble1.accountId);
I need to be able to run an UPDATE that sets 'default' column to '1' only 1 time per 'accountId' basing it off of latest 'addDate'. 我需要能够运行一个UPDATE,将每个'accountId'的'default'列设置为'1'仅1次,并将其基于最新的'addDate'。
UPDATE table1 x
LEFT
JOIN table1 y
ON y.accountid = x.accountid
AND y.adddate > x.adddate
SET x.default = 1
WHERE y.id IS NULL;
or (faster) 或(更快)
UPDATE table1 x
JOIN
( SELECT accountid
, MAX(addDate) max_adddate
FROM table1
GROUP
BY accountid
) y
ON y.accountId = x.accountId
AND y.max_adddate = x.adddate
SET x.default = 1;
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