mysql update子查询问题
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在本测试例子中，select id from (select max(id) from t1 where c2 = 1) aaa;是一个语法错误，应该为select m_id from (select max(id) as m_id from t1 where c2 = 1) aaa;
但是作为一个子查询却没有报错。
这个问题，是不是应该是mysql解析器解析有问题？感觉上来说，作为子查询的也应该能解析出错误的吧？ 空空如也 发表于 2022-12-3 10:37
这个问题，是不是应该是mysql解析器解析有问题？感觉上来说，作为子查询的也应该能解析出错误的吧？ ...
正确的做法是要加上别名才行，例如
select id from (select max(id) id from t1 where c2 = 1) aaa;
不这么做的话，下面的update结果就不是预期的，你可以写入测试数据后自己看下。
我测试的版本：8.0.27 yejr 发表于 2022-12-3 13:36
正确的做法是要加上别名才行，例如
是的，但是为什么解析不报错呢 空空如也 发表于 2022-12-3 18:35
是的，但是为什么解析不报错呢
还是说这个语法就是正确的？那为什么单独select是正确的？ 在本测试例子中，select id from (select max(id) from t1 where c2 = 1) aaa;是一个语法错误，应该为select m_id from (select max(id) as m_id from t1 where c2 = 1) aaa;
但是作为一个子查询却没有报错。
root@mysqldb 16:34:> desc update t1 set c2=4 where id = ( selectid from (select max(id)from t1 where c2 =1 ) aaa);
+----+--------------------+------------+------------+--------+---------------+---------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref| rows | filtered | Extra |
+----+--------------------+------------+------------+--------+---------------+---------+---------+------+------+----------+-------------+
|1 | UPDATE | t1 | NULL | index| NULL | PRIMARY | 4 | NULL | 1 | 100.00 | Using where |
|2 | DEPENDENT SUBQUERY | <derived3> | NULL | system | NULL | NULL | NULL | NULL | 1 | 100.00 | NULL |
|3 | DERIVED | t1 | NULL | ALL | NULL | NULL | NULL | NULL | 1 | 100.00 | Using where |
+----+--------------------+------------+------------+--------+---------------+---------+---------+------+------+----------+-------------+
3 rows in set, 2 warnings (0.01 sec)
root@mysqldb 16:34:>
root@mysqldb 16:34:>
root@mysqldb 16:34:> show warnings\G;
*************************** 1. row ***************************
Level: Note
Code: 1276
Message: Field or reference 'db1.t1.id' of SELECT #2 was resolved in SELECT #1
*************************** 2. row ***************************
Level: Note
Code: 1003
Message: update `db1`.`t1` set `db1`.`t1`.`c2` = 4 where (`db1`.`t1`.`id` = (/* select#2 */ select `db1`.`t1`.`id` from (/* select#3 */ select max(`db1`.`t1`.`id`) AS `max(id)` from `db1`.`t1` where (`db1`.`t1`.`c2` = 1)) `aaa`))
2 rows in set (0.00 sec)
ERROR:
No query specified
看执行计划 看优化器 把原来的SQL 改写成怎么样了 改完都是标准的语法 所以写SQL一定要写好标量，写完SQL记得看执行计划预估SQL效率啥的, 第一个报错是语法检查问题 张旭峰 发表于 2022-12-4 16:42
在本测试例子中，select id from (select max(id) from t1 where c2 = 1) aaa;是一个语法错误，应该为selec ...
好的，感谢。感觉直接报错可能更符合常理
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