MySQL GTIDs(global transaction identifiers)

时间:2024-08-10 11:38:14

1、如何定义和生成GTIDs


唯一性:在所有主从库都是唯一的,由二元组构成

每个事务和GTIDs之间都有1:1映射

GTID = source_id:transaction_id

source_id标记主库的server_uuid

transaction_id是一个递增序列,从1开始,包含5个事务的GTID

3E11FA47-71CA-11E1-9E33-C80AA9429562:1-5

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" 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START SLAVE对于GTIDs的支持:

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" 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START SALVE有SQL_BEFORE_GTIDS和SQL_AFTER_GTIDS选项

1.1 server_uuid

获取server_uuid的方式

a、判断data_dir/auto.cnf文件是否存在,如果存在返回

b、不存在的话,自动产生一个新的UUID,并保存到data_dir/auto.cnf中

auto.cnf文件格式如下:

[auto]
server_uuid=8a94f357-aab4-11df-86ab-c80aa9429562

auto.cnf文件是自动产生的,不要试图修改这个文件。

如果主库的server_uuid发生变化的话,需要重新change master to,故这个auto.cnf文件是只读的。

http://dev.mysql.com/doc/refman/5.6/en/replication-options.html#sysvar_server_uuid

 1.2 GTID sets

gtid_set:
uuid_set [, uuid_set] ...
| '' uuid_set:
uuid:interval[:interval]... uuid:
hhhhhhhh-hhhh-hhhh-hhhh-hhhhhhhhhhhh h:
[0-9|A-F] interval:
n[-n] (n >= 1)

存在多种使用:

a、gtid_executed记录已经执行过的gtid,gtid_purged记录已经执行过的并且已经从binlog中删除的

mysql> show global variables like '%gti%';
+--------------------------+------------------------------------------------------------------------------------+
| Variable_name | Value |
+--------------------------+------------------------------------------------------------------------------------+
| enforce_gtid_consistency | ON |
| gtid_executed | 5f02986b-c5de-11e3-8d21-001e4f1ef3b7:1-8,
b9d59578-df02-11e3-b112-001e4f1f39cf:1-2 |
| gtid_mode | ON |
| gtid_owned | |
| gtid_purged | 5f02986b-c5de-11e3-8d21-001e4f1ef3b7:1-8,
b9d59578-df02-11e3-b112-001e4f1f39cf:1-2 |
+--------------------------+------------------------------------------------------------------------------------+

b、GTID_SUBSET()GTID_SUBTRACT()函数

1.3 GTID产生过程

(1)事务执行完成,并在主库提交

使用主库的UUID以及最小的事务序列数,并将GTID记录到主库的binlog中

(2)当binlog的数据被从库接收后,并存储在relay log中,此时从库SQL线程读取GTID,并将其赋值给变量gitd_next

(3)从库检查GTID,确认没有执行过。如果这个GTID没有使用过,从库写入GTID,并回放这个事务。

slave需要确保两点:

a、GTID没有被之前的事务使用过

b、相关联的事务没有被提交

(4)因为gtid_next非空,slave不会尝试产生一个新GTID,而是将GTID保存在变量gtid_next中

2、如何设置基于GTIDs的同步


一主一从配置方式

先配置好主从异步复制,再次不赘述

2014-06-09 10:35:53 19208 [ERROR] --gtid-mode=ON or UPGRADE_STEP_1 or UPGRADE_STEP_2 requires --log-bin and --log-slave-updates

配置文件中设置:

gtid-mode                = ON
enforce_gtid_consistency = 1 log-bin = mysql-bin
log-slave-updates = 1

http://dev.mysql.com/doc/refman/5.6/en/replication-gtids-howto.html

设置同步:

mysql> CHANGE MASTER TO
> MASTER_HOST = host,
> MASTER_PORT = port,
> MASTER_USER = user,
> MASTER_PASSWORD = password,
> MASTER_AUTO_POSITION = 1;

不需要使用MASTER_LOG_FILE和MASTER_LOG_POS

如果使用上面两个参数,需要将MASTER_AUTO_POSITION设置为0

否则会出现以下错误提示:

ERROR 1776 (HY000): Parameters MASTER_LOG_FILE, MASTER_LOG_POS, RELAY_LOG_FILE and RELAY_LOG_POS cannot be set when MASTER_AUTO_POSITION is active.

  

3、使用GTIDs进行Failover和Scaleout


基于Gtids带来的一些优势:

(1)、简单复制(Simple replication)

无需找点,会基于Gtids自行找点以及过滤相同gtid的事务,不会存在重复执行的问题

红色标注的地方是和传统的binlog不同的地方,从库上记录每个事务的gtid,这样在主从切换的时候不需要再找点,只需要比较事务id即可

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alt="" />

(2)、将数据和事务拷贝到从库(Copying data and transactions to the slave)

数据方式:通过mysqldump方式,需要设置两个选项--master-data和--set-gtid-purged,并且从库上需要设置--git-mode=ON

事务方式:通过mysqlbinlog,通过两个选项 --read-from-remote-server--read-from-remote-master ,使用--raw选项生成SQL文件导入

(3)、注入空事务(Injecting empty transactions)

对这个地方没太理解

(4)、通过gtid_purged过滤事务(Excluding transactions with gtid_purged)

gtid_purged记录一些已经被执行完成的gtid,并且对应的binlog已经被清理

5.6.9以前的版本没有gtid_purged这个变量

4、使用GTIDs的一些建议


1、对于基于statement和row的复制都支持,建议使用基于row格式

5、使用GTIDs的限制


5.1更新涉及到非事务存储引擎

在同一个事务中提交包含对非事务存储引擎的修改,会对应不同的Gtids

主从一对一的Gtid被破坏

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" alt="" />

6、参考文献


http://dev.mysql.com/doc/refman/5.6/en/replication-gtids.html

http://qing.blog.sina.com.cn/1757661907/68c3cad333002qhe.html

http://qing.blog.sina.com.cn/1757661907/68c3cad333002qsk.html

http://qing.blog.sina.com.cn/1757661907/68c3cad333002s5l.html

http://dev.mysql.com/worklog/

http://code.openark.org/blog/mysql/thoughts-on-mysql-5-6-new-replication-features

http://www.mysqlsystems.com/2013/03/mysql-replication-gtid-notes.html