表中存在唯一索引时,有时候为了避免插入重复数据,我们会使用MySQL的
INSERT IGNORE
语法,这样如果唯一索引有冲突就会自动忽略。 看起来很完美的一个解决办法,但是背后隐藏着一个坑,最后不得不放弃。
不仅仅是DUPLICATE KEY
INSERT IGNORE
不仅仅会忽略DUPLICATE KEY
错误,也会忽略非空错误
- 数据库有表
student
如下:
mysql> show create table student;
+---------+----------------------------+
| Table | Create Table |
+---------+----------------------------+
| student | CREATE TABLE `student` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(16) NOT NULL,
`class_id` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 |
+---------+----------------------------+
1 row in set (0.00 sec)
- 因为
class_id
非空,所以插入失败
mysql> insert into student(name) values("tenmao");
ERROR 1364 (HY000): Field 'class_id' doesn't have a default value
- 使用
ignore
后插入失败,class_id
被设置为int的默认值0
mysql> insert ignore into student(name) values("tenmao");
Query OK, 1 row affected, 1 warning (0.01 sec)
mysql> show warnings;
+---------+------+-----------------------------------------------+
| Level | Code | Message |
+---------+------+-----------------------------------------------+
| Warning | 1364 | Field 'class_id' doesn't have a default value |
+---------+------+-----------------------------------------------+
1 row in set (0.00 sec)
mysql> select * from student;
+----+--------+----------+
| id | name | class_id |
+----+--------+----------+
| 1 | tenmao | 0 |
+----+--------+----------+
1 row in set (0.00 sec)
-
varchar
会被设置为默认值''
(空字符串)
mysql> insert ignore into student(class_id) values(1);
Query OK, 1 row affected, 1 warning (0.01 sec)
mysql> select * from student;
+----+--------+----------+
| id | name | class_id |
+----+--------+----------+
| 1 | tenmao | 0 |
| 2 | | 1 |
+----+--------+----------+
2 rows in set (0.00 sec)
字段
NOT NULL
是为了防止插入时漏掉这个字段,但是使用INSERT IGNORE
后,会自动设置一个没有用的默认值,导致系统数据错误。 那怎么办?
ON DUPLICATE KEY
解决办法也很简单,使用ON DUPLICATE KEY
mysql> insert into student(id, name, class_id) values(1, '十毛', 2);
ERROR 1062 (23000): Duplicate entry '1' for key 'PRIMARY'
mysql> insert into student(id, name, class_id) values(1, '十毛', 2) on duplicate key update id=id;
Query OK, 0 rows affected (0.00 sec)