This article brings you relevant knowledge about MySQL. It mainly talks about how MySQL updates deadlocks in batches. There are code examples. Friends who are interested can take a look below. I hope it will be helpful to everyone. .
The table structure is as follows:
CREATE TABLE `user_item` ( `id` BIGINT(20) NOT NULL, `user_id` BIGINT(20) NOT NULL, `item_id` BIGINT(20) NOT NULL, `status` TINYINT(4) NOT NULL, PRIMARY KEY (`id`), KEY `idx_1` (`user_id`,`item_id`,`status`)) ENGINE=INNODB DEFAULT CHARSET=utf-8
The SQL statement is as follows:
update user_item set status=1 where user_id=? and item_id=?
Cause analysis:
mysql的事务支持与存储引擎有关,MyISAM不支持事务,INNODB支持事务,更新时采用的是行级锁。这里采用的是INNODB做存储引擎,意味着会将update语句做为一个事务来处理。前面提到行级锁必须建立在索引的基础,这条更新语句用到了索引idx_1,所以这里肯定会加上行级锁。 行级锁并不是直接锁记录,而是锁索引,如果一条SQL语句用到了主键索引,mysql会锁住主键索引;如果一条语句操作了非主键索引,mysql会先锁住非主键索引,再锁定主键索引。
This update statement The following steps will be performed:
Since a non-primary key index is used, you first need to obtain the row-level lock on idx_1
and then proceed according to the primary key Update, so you need to obtain the row-level lock on the primary key;
After the update is completed, submit and release all locks.
If a statement is suddenly inserted between steps 1 and 2: update user_item .....where id=? and user_id=?, this statement will first lock the primary key index, and then Lock idx_1.
A painful situation arises. One statement acquires the lock on idx_1 and waits for the lock on the primary key index; another statement acquires the lock on the primary key and waits for the lock on idx_1. This leads to a deadlock. Lock.
Solution:
- Get the primary key
select id from user_item where user_id=? and item_id=?
of the record that needs to be updated first - Update
update user_item set status=? where id=? and user_id=?
one by one Batch cycle repeats the first Just follow the first and second steps
Recommended learning: "MySQL Video Tutorial"
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