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首页 > 数据库 > Mysql > Mysql mvcc场景

Mysql中mvcc各场景理解应用

作者:王者之峰

这篇文章主要为大家介绍了Mysql中mvcc各场景理解应用,有需要的朋友可以借鉴参考下,希望能够有所帮助,祝大家多多进步,早日升职加薪

前言

mysql> select version();
+-----------+
| version() |
+-----------+
| 8.0.27    |
+-----------+
1 row in set (0.00 sec)
mysql> show variables like '%isola%';
+-----------------------+-----------------+
| Variable_name         | Value           |
+-----------------------+-----------------+
| transaction_isolation | REPEATABLE-READ |
+-----------------------+-----------------+
1 row in set (0.02 sec)
mysql> show create table test;
+-------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Table | Create Table                                                                                                                                                                                                                                                                                                                                                                                 |
+-------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| test  | CREATE TABLE `test` (
  `id` bigint unsigned NOT NULL AUTO_INCREMENT COMMENT '主键',
  `name` char(32) NOT NULL COMMENT '用户姓名',
  `num` int DEFAULT NULL,
  `phone` char(11) DEFAULT '' COMMENT '手机号',
  PRIMARY KEY (`id`),
  KEY `idx_name_phone` (`name`,`phone`)
) ENGINE=InnoDB AUTO_INCREMENT=108 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='test表'           |
+-------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec
mysql> select * from test;
+-----+---------------+---------+-------+
| id  | name          | num     | phone |
+-----+---------------+---------+-------+
|   1 | 执行业        | 1234567 |       |
|   2 | 执行业务1     |    NULL |       |
|   3 | a             |    NULL |       |
|   4 | a             |    NULL |       |
|   5 | a             |    NULL |       |
|   6 | b             |       1 |       |
|   7 | wdf           |    NULL |       |
|  10 | dd            |       1 |       |
|  11 | hello         |    NULL |       |
|  15 | df            |    NULL |       |
|  16 | e             |    NULL |       |
|  20 | e             |    NULL |       |
|  21 | 好的          |    NULL |       |
|  25 | g             |       1 |       |
| 106 | hello         |    NULL |       |
| 107 | a             |    NULL |       |
+-----+---------------+---------+-------+
16 rows in set (0.00 sec)

场景一

试验步骤

事务A第一步

mysql> begin;select * from test where id in (7,15) for update;
Query OK, 0 rows affected (0.00 sec)
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
2 rows in set (0.01 sec)

持有锁情况:

mysql> select * from performance_schema.data_locks;
+--------+-----------------------------+-----------------------+-----------+----------+---------------+-------------+----------------+-------------------+------------+-----------------------+-----------+---------------+-------------+-----------+
| ENGINE | ENGINE_LOCK_ID              | ENGINE_TRANSACTION_ID | THREAD_ID | EVENT_ID | OBJECT_SCHEMA | OBJECT_NAME | PARTITION_NAME | SUBPARTITION_NAME | INDEX_NAME | OBJECT_INSTANCE_BEGIN | LOCK_TYPE | LOCK_MODE     | LOCK_STATUS | LOCK_DATA |
+--------+-----------------------------+-----------------------+-----------+----------+---------------+-------------+----------------+-------------------+------------+-----------------------+-----------+---------------+-------------+-----------+
| INNODB | 4974808984:1063:4890706744  |                 46666 |        50 |      123 | my_test       | test        | NULL           | NULL              | NULL       |            4890706744 | TABLE     | IX            | GRANTED     | NULL      |
| INNODB | 4974808984:2:4:7:4915866136 |                 46666 |        50 |      123 | my_test       | test        | NULL           | NULL              | PRIMARY    |            4915866136 | RECORD    | X,REC_NOT_GAP | GRANTED     | 15        |
| INNODB | 4974808984:2:4:9:4915866136 |                 46666 |        50 |      123 | my_test       | test        | NULL           | NULL              | PRIMARY    |            4915866136 | RECORD    | X,REC_NOT_GAP | GRANTED     | 7         |
+--------+-----------------------------+-----------------------+-----------+----------+---------------+-------------+----------------+-------------------+------------+-----------------------+-----------+---------------+-------------+-----------+
3 rows in set (0.00 sec)

发现7,15持有了行锁。

事务B执行

mysql> update test set name = 'sds' where id=10;insert into test(id,name) values(8,'hello');
Query OK, 1 row affected (0.01 sec)
Rows matched: 1  Changed: 1  Warnings: 0
Query OK, 1 row affected (0.00 sec)

事务A执行第二步

mysql> select * from test where id in (7,8,10,15);
+----+-------+------+-------+
| id | name  | num  | phone |
+----+-------+------+-------+
|  7 | wdf   | NULL |       |
|  8 | hello | NULL |       |
| 10 | sds   |    1 |       |
| 15 | df    | NULL |       |
+----+-------+------+-------+
4 rows in set (0.01 sec)

结果

步骤二执行了,事务A读到了事务B提交的数据。下面我们来看看正常的select;

场景二

还原数据:

mysql> update test set name = 'dd' where id=10;delete from test where id=8;
Query OK, 1 row affected (0.01 sec)
Rows matched: 1  Changed: 1  Warnings: 0
Query OK, 1 row affected (0.00 sec)

试验步骤

事务A第一步

mysql> begin;select * from test where id in (7,15);
Query OK, 0 rows affected (0.00 sec)
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
2 rows in set (0.00 sec)

持有锁情况:

mysql> select * from performance_schema.data_locks;
Empty set (0.00 sec)

事务B执行

mysql> update test set name = 'sds' where id=10;insert into test(id,name) values(8,'hello');
Query OK, 1 row affected (0.00 sec)
Rows matched: 1  Changed: 1  Warnings: 0
Query OK, 1 row affected (0.00 sec)

事务A执行第二步

mysql> select * from test where id in (7,8,10,15);
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 10 | dd   |    1 |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
3 rows in set (0.00 sec)

结果

步骤二执行了,事务A没读到了事务B提交的数据。笔者猜测for update加锁之后会清除readview或者没开启readview,所以后面会读到事务B的。

所以我们来看看到底是清除还是没开启。

事务A后续步骤

mysql> select * from test where id in (7,15) for update;
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
2 rows in set (0.00 sec)
mysql> select * from test where id in (7,8,10,15);
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 10 | dd   |    1 |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
3 rows in set (0.00 sec)

可以发现重新执行了场景一的步骤后结果没变。

所以应该是没开启,应该是当前读不会开启readview。

笔者找了下资料没找到,找到的笔者可以留言。

不过我们可以使用继续实验验证下。

场景三

这个场景就不搞实验步骤了,结果是和笔者的猜想一样的 ”当前读不会开启readview,第一个快照读才会开启“

场景四

事务A第一步

mysql> begin;select * from test where id in (7,15);
Query OK, 0 rows affected (0.00 sec)
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
2 rows in set (0.00 sec)

开启了事务,浅读一下。

事务B执行

insert into test(id,name) values(8,'hello');

事务A第二步

mysql> select * from test where id in (7,8,15);
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
2 rows in set (0.00 sec)

检验一下是否读的到,发现读不到。

事务A第三步

mysql> update test set name ='cv' where  id =8;
Query OK, 1 row affected (0.00 sec)
Rows matched: 1  Changed: 1  Warnings: 0

对插入的进行更新。

事务A第四步

mysql> select * from test where id in (7,8,15);
+----+------+------+-------+
| id | name | num  | phone |
+----+------+------+-------+
|  7 | wdf  | NULL |       |
|  8 | cv   | NULL |       |
| 15 | df   | NULL |       |
+----+------+------+-------+
3 rows in set (0.00 sec)

发现可以读到了。

原因

能读到的原因是因为本事务对版本链内容进行了修改,所以就读到了。

这个场景可能会出现在实际开发中,会比较懵,当然“事务A第三步”是笔者随便模拟的,实际生产中直接拿大不到刚刚插入的id,所以应该是模糊(没有确定行)update。所以在生产中还是要确定行去进行修改,避免出现这种比较难理解的场景。

虽然也可以使用lock in share mode或者for update读当前借助next-key去实现不幻读(第二次读到第一次没有读到的行),还是需要根据具体业务选择。

总结

根据以上的场景,我们可以知道:

以上就是Mysql中mvcc各场景理解的详细内容,更多关于Mysql mvcc场景的资料请关注脚本之家其它相关文章!

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