“插入忽略"vs“插入...在重复密钥更新"
在执行包含许多行的 INSERT
语句时,我想跳过可能导致失败的重复条目.经过一番研究,我的选择似乎是使用以下任一:
While executing an INSERT
statement with many rows, I want to skip duplicate entries that would otherwise cause failure. After some research, my options appear to be the use of either:
ON DUPLICATE KEY UPDATE
这意味着需要付出一些代价进行不必要的更新,或者INSERT IGNORE
暗示其他类型的失败会在未经通知的情况下溜进来.
ON DUPLICATE KEY UPDATE
which implies an unnecessary update at some cost, orINSERT IGNORE
implies an invitation for other kinds of failure to slip in unannounced.
我的这些假设是否正确?简单地跳过可能导致重复的行并继续到其他行的最佳方法是什么?
Am I right in these assumptions? What's the best way to simply skip the rows that might cause duplicates and just continue on to the other rows?
推荐答案
我建议使用 INSERT...ON DUPLICATE KEY UPDATE
.
如果您使用 INSERT IGNORE
,则如果它导致重复键,则不会实际插入该行.但该语句不会产生错误.它会生成一个警告.这些案例包括:
If you use INSERT IGNORE
, then the row won't actually be inserted if it results in a duplicate key. But the statement won't generate an error. It generates a warning instead. These cases include:
- 在具有
PRIMARY KEY
或UNIQUE
约束的列中插入重复键. - 将 NULL 插入具有
NOT NULL
约束的列中. - 向分区表插入一行,但您插入的值未映射到分区.
- Inserting a duplicate key in columns with
PRIMARY KEY
orUNIQUE
constraints. - Inserting a NULL into a column with a
NOT NULL
constraint. - Inserting a row to a partitioned table, but the values you insert don't map to a partition.
如果你使用 REPLACE
,MySQL 实际上会在内部执行 DELETE
后跟 INSERT
,这会产生一些意想不到的副作用:
If you use REPLACE
, MySQL actually does a DELETE
followed by an INSERT
internally, which has some unexpected side effects:
- 分配了一个新的自增 ID.
- 可能会删除具有外键的相关行(如果您使用级联外键),否则会阻止
REPLACE
. - 在
DELETE
上触发的触发器被不必要地执行. - 副作用也会传播到副本.
- A new auto-increment ID is allocated.
- Dependent rows with foreign keys may be deleted (if you use cascading foreign keys) or else prevent the
REPLACE
. - Triggers that fire on
DELETE
are executed unnecessarily. - Side effects are propagated to replicas too.
更正: REPLACE
和 INSERT...ON DUPLICATE KEY UPDATE
都是 MySQL 特有的非标准专有发明.ANSI SQL 2003 定义了一个 MERGE
语句,可以解决同样的需求(以及更多),但 MySQL 不支持 MERGE
语句.
correction: both REPLACE
and INSERT...ON DUPLICATE KEY UPDATE
are non-standard, proprietary inventions specific to MySQL. ANSI SQL 2003 defines a MERGE
statement that can solve the same need (and more), but MySQL does not support the MERGE
statement.
一位用户试图编辑这篇文章(编辑被版主拒绝).编辑试图添加一个声明,即 INSERT...ON DUPLICATE KEY UPDATE
会导致分配一个新的自动增量 ID.确实生成了新的id,但是没有在改变的行中使用.
A user tried to edit this post (the edit was rejected by moderators). The edit tried to add a claim that INSERT...ON DUPLICATE KEY UPDATE
causes a new auto-increment id to be allocated. It's true that the new id is generated, but it is not used in the changed row.
参见下面的演示,使用 Percona Server 5.5.28 进行测试.配置变量innodb_autoinc_lock_mode=1
(默认):
See demonstration below, tested with Percona Server 5.5.28. The configuration variable innodb_autoinc_lock_mode=1
(the default):
mysql> create table foo (id serial primary key, u int, unique key (u));
mysql> insert into foo (u) values (10);
mysql> select * from foo;
+----+------+
| id | u |
+----+------+
| 1 | 10 |
+----+------+
mysql> show create table fooG
CREATE TABLE `foo` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`u` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `u` (`u`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1
mysql> insert into foo (u) values (10) on duplicate key update u = 20;
mysql> select * from foo;
+----+------+
| id | u |
+----+------+
| 1 | 20 |
+----+------+
mysql> show create table fooG
CREATE TABLE `foo` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`u` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `u` (`u`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=latin1
上面演示了IODKU语句检测到重复,并调用更新来改变u
的值.请注意,AUTO_INCREMENT=3
表示已生成 id,但未在行中使用.
The above demonstrates that the IODKU statement detects the duplicate, and invokes the update to change the value of u
. Note the AUTO_INCREMENT=3
indicates an id was generated, but not used in the row.
而 REPLACE
确实删除了原始行并插入了一个新行,生成 并且 存储了一个新的自动增量 ID:
Whereas REPLACE
does delete the original row and inserts a new row, generating and storing a new auto-increment id:
mysql> select * from foo;
+----+------+
| id | u |
+----+------+
| 1 | 20 |
+----+------+
mysql> replace into foo (u) values (20);
mysql> select * from foo;
+----+------+
| id | u |
+----+------+
| 3 | 20 |
+----+------+
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