Preface
As we all know,there're three kinds of replication in MySQL nowadays.Such as,asynchronous replication,(full)synchronous replication,semi-synchronous replication.What's the difference between them?First of all,let's see the intact architecture picture of MySQL replication:
What will master do?
What will slave do?
- connects to master
- IO Thread asks for data(binary logs) and gets them
- generates relay logs
- SQL Thread applies data(relay logs)
Method of different MySQL Replication
Generally speaking,the data changed on master will be continuously sent to slave.So the data on slave seems to be equal with the master.This mechanism is usually used to backup on slave(reduce the pressure of master),construct HA architecture(failover or separate reading/writing operations),etc.
Nevertheless,on account of different reasons,slave frequently defers in almost all the scenarios what's often grumbled by MySQL dba.Below are different kinds of MySQL replication.Let's see the details.
Since MySQL 3.2.22,this kind of replication was supported with statement format of binary log.Then,untill MySQL 5.1.5,row format of binary log was supported either.The mechanism of it is that as soon as the master dump thread has sent the binary logs to the slave,the master server returns the result to client.There's nothing to guarantee the binary logs are normally received by the slave(maybe the network failure occurs simultaneously).So it's unsafe in consistency what means your transactions will lose in the replication.This is also the original replication of MySQL.Here's the picture about the procedure:

1. Client sends dml operations to the master while the transaction starts.
2. Master executes these dml operations from client in transaction.
3. Generates some binary logs which contains the transaction information.
4. Master will return results to the client immediately after dump thread has sent these binary logs to slave.
5. Slave receives the binary logs by IO_Thread and apply the relay logs by SQL_Thread.
In step 4,master won't judge whether slave has received the binary logs (which are sent by itself) or not.If the master crashs suddenly after it has sent the binary logs,but slave does not receive them at all on account of network delay.Only if the slave takes over the application at this time,the committed transactions will miss which means data loss.This is not commonly acceptable in most important product systems especially in the financial ones.
Synchronous replication requires master to return results to client only after the transactions have been committed by all the slaves(receive and apply).This method will severely lead to bad performance on master unless you can guarantee the slaves can commit immediate without any delay(infact it's tough).Now,the only solution of synchronous replication is still the MySQL NDB Cluster.Therefore,it's not recommended to use synchronous replication way.
- semi-synchronous replication
Semi-synchronous replication seems a workaround of above two method which can strongly increase the consistency between master and slave.It's supported since MySQL 5.5 and enhanced in MySQL 5.7.What's the mechanism of semi-sychronouos replication?Master is permitted to return the result to client merely after only one slave has received binary logs,write them to the relay logs and returns an ACK signal to master.There're two ways of it,that is,after_commit & after_sync.Let's see the difference of them:
after_commit(Since MySQL 5.5):
In this method,master performs a commit before it receives ACK signal from slave.Let's suppose a situation that once master crashs after it commits a transaction but it hasn't receive the ACK signal from slave.Meanwhile,failover makes slave become the new master.How does the slave deal with then?Will the transaction lose?It depends.There're two scenarios:
- Slave has received the binary log,and then turns it into relay log and applys it.There's no transaction loss.
- Slave hasn't received the binary log,the transaction committed by master just now will lose,but the client won't fail(only inconsistent in replication).
Therefore,after_commit cannot guarantee lossless replication.after_commit is the default mode(actually it's the only mode can be use) which is supported by MySQL 5.5 & 5.6.
after_sync(since MySQL 5.7):

In the picture above,the t1 transaction shouldn't be lost because of the master merely commits to the storage engine after receive the ACK signal from slave.In spite of master may crash before receiving ACK signal,no transaction will lose as the master hasn't commit at all.Meanwhile,the t2 transaction also get consistent query here.
In order to improve the data consistency(since after_commit has avoidless deficiency),MySQL official enhances the semi-synchronous replication which can be called "loss-less semi-synchronous replication" in MySQL 5.7 by add after_sync mode in parameter "rpl_semi_sync_master_wait_point".
Caution,semi-synchronous replication may turn into asynchronous replication whenever the delay time of slave surpass the value which is specified in parameter "rpl_semi_sync_master_timeout"(default values is 10000 milliseconds).Why it is permitted?I'm afraid in order to consider the performance of master.Notwithstanding,you can also play a trick to prevent it from being converted over by set a infinite number in this parameter such as "10000000" or above.Especially in case that your product system is too important to not lose data.
Further more,to configure semi-sychronous replication,you should implement the optional plugin component "rpl_semi_sync_master",which can be check by using command "show plugins;"
Summary:
- Commonly,semi-sync replication is strongly recommended when implements MySQL replication nowadays(with gtid).
- I utterly recommend to upgrade product system to MySQL 5.7 in order to use "after_sync" mode which can avoid data loss.
- Be careful of specify an inappropriate value in parameter "rpl_semi_sync_master_timeout" which will cause converting semi-sync to async replication.
- MySQL 5.7 新特性之增强半同步复制
1. 背景介绍 半同步复制 普通的replication,即mysql的异步复制,依靠mysql二进制日志也即binary log进行数据复制.比如两台机器,一台主机(master),另外一台是从机( ...
- 深入MySQL复制(三):半同步复制
1.半同步复制 半同步复制官方手册:https://dev.mysql.com/doc/refman/5.7/en/replication-semisync.html 默认情况下,MySQL的复制是异 ...
- mysql半同步复制跟无损半同步区别
mysql半同步复制跟无损半同步复制的区别: 无损复制其实就是对semi sync增加了rpl_semi_sync_master_wait_point参数,来控制半同步模式下主库在返回给会话事务成功之 ...
- MySQL主从复制技术与读写分离技术amoeba应用
MySQL主从复制技术与读写分离技术amoeba应用 前言:眼下在搭建一个人才站点,估计流量会非常大,须要用到分布式数据库技术,MySQL的主从复制+读写分离技术.读写分离技术有官方的MySQL-pr ...
- MySQL异步、同步、半同步复制
异步复制 MySQL复制默认是异步复制,Master将事件写入binlog,提交事务,自身并不知道slave是否接收是否处理: 缺点:不能保证所有事务都被所有slave接收. 同步复制 Master提 ...
- MySQL高可用方案 MHA之四 keepalived 半同步复制
主从架构(开启5.7的增强半同步模式)master: 10.150.20.90 ed3jrdba90slave: 10.150.20.97 ed3jrdba97 10.150.20.132 ...
- MySQL主从复制技术(纯干货)
1.复制配置 主机一定要开启二进制日志(这里建议配置RBR) 每个主机和每个从机一定要配置一个位移的id,即server-id 每个从机配置一定要包含主机名称,日志名称,和位置 ...
- MySQL主从同步和半同步配置
mysql主从配置: 1,安装maraidb,使用国内yum镜像站下载:[root@localhost mysql]# cat /etc/yum.repos.d/MairaDB.repo # Mari ...
- MySQL主从复制技术的简单实现
配置环境: 主从服务器操作系统均为 ubuntu15.10 主从服务器MySQL版本均为 MySQL5.6.31 主服务器IP:192.168.0.178 从服务器IP:192.168.0.145 主 ...
随机推荐
- Android 保存和恢复activity的状态数据
一般来说, 调用onPause()和onStop()方法后的activity实例仍然存在于内存中, activity的所有信息和状态数据不会消失, 当activity重新回到前台之后, 所有的改变都会 ...
- Android Animation 知识点速记备忘思维导图
备注的大段文本,无法在图片中体现, 思维导图源文件放在附件中.使用 Xmind 8 制作. 附件:AndroidAnimation-xmind.zip
- 分分钟搞懂 HD 钱包
转自:http://blog.sina.com.cn/s/blog_12ce70a430102v8c7.html 第一次看到 HD 这个词被用在比特币钱包中时,很容易就把它理解成硬件(Hardware ...
- android启动应用
private void openApp(String packageName) { PackageInfo pi = getPackageManager().getPackageInfo(packa ...
- php模拟post提交
<?php $url = "xxxxx"; // 用户名 $loginName = ''; // 密码 $pwd = ''; // service $serviceName ...
- SQL Server ->> SQL Server 2016新特性之 -- AlwaysOn的增强改进
1)标准版也开始支持AlwaysOn了,只不过限制太多,比如副节点不能只读访问和只能有一个副节点. 2)副节点(只读节点)的负载均衡,这是我认为最有用的改进 3)自动failover的节点从2个增加到 ...
- 使用POI解析Excel时,出现org.xml.sax.SAXParseException: duplicate attribute 'o:relid'的解决办法
1.使用org.apache.poi解析excle,.xlsx类型文件InputStream is = new FileInputStream(strFileName);XSSFWorkbook wb ...
- C# 转换运算符:implicit(隐式),explicit(显示)
//A类 class Cls1 { public string name; //构造函数 public Cls1(string name) { this.name = name; } //implic ...
- 一个典型的后台软件系统的设计复盘——(三)打通任督二脉-context
武侠小说练功讲究打通任督二脉.程序设计练到一定程度也讲究打通任督二脉.好奇心强的同学可以搜搜“打通任督二脉有什么感觉”. spring的任督二脉ApplicationContext 最经典的任督二脉莫 ...
- Django测试
创建一个测试 ## app/tests.py import datetime from django.utils import timezone from django.test import Tes ...