Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

、为什么要做Mysql的主从复制(读写分离)?
通俗来讲,如果对数据库的读和写都在同一个数据库服务器中操作,业务系统性能会降低。
为了提升业务系统性能,优化用户体验,可以通过做主从复制(读写分离)来减轻主数据库的负载。
而且如果主数据库宕机,可快速将业务系统切换到从数据库上,可避免数据丢失。

二、MySQL主从复制 Mysql主从复制(读写分离)和集群的区别

我对MySQL也是刚开始研究,不是很专业。我的理解是:
1、主从复制(读写分离):一般需要两台及以上数据库服务器即可(一台用于写入数据,一台用于同步主的数据并用于数据查询操作)。
局限性:
(1)配置好主从复制之后,同一张表,只能对一个服务器写操作。如果在从上执行了写操作,而之后主也操作了这张表,或导致主从不同步;据说可以配置成主主方式,但我还没有研究到。
(2)主数据库服务器宕机,需要手动将业务系统切换到从数据库服务器。无法做到高可用性(除非再通过部署keepalive做成高可用方案)。
2、集群是由N台数据库服务器组成,数据的写入和查询是随机到任意一台数据库服务器的,其他数据库服务器会自动同步数据库的操作。
任何一台数据库宕机,不会对整个集群造成大的影响。
局限性:我经过测试才知道目前mysql集群版本(MySQL Cluster)只能对NDB存储引擎的数据进行集群同步,如果是INNODB或其他的MySQL存储引擎是不行的。这个也导致了我放弃了在业务系统中应用这种方案。

三、回归正题,接下来开始MySQL5.5.12的主从复制教程:
1、MySQL5.5开始主从复制有两种方式:基于日志(binlog);基于GTID(全局事务标示符)。
需要注意的是:GTID方式不支持临时表!所以如果你的业务系统要用到临时表的话就不要考虑这种方式了,至少目前最新版本MySQL5.5.12的GTID复制还是不支持临时表的。
所以此篇教程主要是告诉大家如何通过日志(binlog)方式做主从复制!

2、MySQL官方提供的MySQL Replication教程:
http://dev.mysql.com/doc/refman/5.6/en/replication.html
这个官方教程强烈建议大家阅读(需要一定的英语阅读能力哦!不行就google翻译后再阅读吧~)。

因此,一般来说都是通过 主从复制(Master-Slave)的方式来同步数据,再通过读写分离(MySQL-Proxy)来提升数据库的并发负载能力 这样的方案来进行部署与实施的。

如下图所示:

Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

三、MySQL主从复制
场景描述:

主数据库服务器:42.51.153.157,MySQL已经安装,并且无应用数据。
从数据库服务器:42.51.155.219,MySQL已经安装,并且无应用数据。

系统:CentOS6.4 32位

Mysql:5.5版本

selinux关闭 防火墙关闭

setenforce
service iptables stop

2.就是要确定服务器上的Mysql

yum install mysql mysql-server -y

3.确认时间同步

[root@master ~]# yum install ntp -y
[root@master ~]# vi /etc/ntp.conf #添加以下2行
server 127.127.1.0
fudge 127.127.1.0 stratum
[root@master ~]# /etc/init.d/ntpd restart   #重启ntpd服务

2)在节点服务器上进行时间同步

[root@slave1 ~]# /etc/init.d/iptables stop
[root@slave1 ~]# chkconfig iptables off
[root@slave1 ~]# yum install -y ntpdate
[root@slave1 ~]# /usr/sbin/ntpdate 42.51.153.157

四:配置Mysql

1.首先修改Mysql主配置的配置文件(Master)

[root@master ~]# \cp /etc/my.cnf /etc/my.cnf.old        ##修改之前备份
[root@master ~]# vi /etc/my.cnf ##修改
server-id = //修改 log-bin=master-bin //修改 log-slave-updates=true //增加 [root@master ~]# /etc/init.d/mysqld restart ##重启Mysql
[root@master ~]# mysql -u root –ppassword //登录数据库,给从服务器授权
mysql> create user 'yanghongfei'@'localhost' identified by '123456';
mysql> grant replication slave on *.* to 'yanghongfei'@'42.51.155.219' identified by '';
mysql> flush privileges;
mysql> show master status; ##这个日志后面会用的到
+------------------+----------+--------------+------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB |
+------------------+----------+--------------+------------------+
| mysql-bin. | | | |
+------------------+----------+--------------+------------------+
row in set (0.00 sec)

2.配置从服务器  (Slave)

[root@master ~]# \cp /etc/my.cnf /etc/my.cnf.old        ##修改之前备份

[root@salve shell]# vi /etc/my.cnf 
server-id       =                                                         //修改     此处ID只要比Master大就可以

relay-log=relay-log-bin                                                     //增加

relay-log-index=slave-relay-bin.index                          //增加

修改完成之后重启mysql服务

登录Mysql,配置同步

[root@salve shell]# service mysqld restart

[root@slave1 ~]# mysql -u root –ppassword

mysql> stop slave;                                          ##首先停止

mysql>  change master to master_host='42.51.153.157',master_user='yanghongfei',master_password='',master_log_file='mysql-bin.000005',master_log_pos=;

mysql> start slave;

mysql> show slave status \G;

查看是否成功~

Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

上面2处都为Yes的时候表示已经成功了~~

3. 测试主从是否复制成功,主服务器创建数据库看是不是被同步过去了

Master:

Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

Slave:

Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

下面我来装一个Discuz论坛 我们来测试下数据表会不会被同步进去,这里安装网站不再详细说了 我这面用的环境是lnmp   首先下载一个Discuz的包 网上有很多

[root@master ~]# unzip Discuz_7.2_FULL_SC_UTF8.zip      

[root@master ~]# mv upload/ /usr/share/nginx/html/

[root@master ~]# cd /usr/share/nginx/html/

[root@master html]# mv upload/ Discuz

[root@master html]# chmod  -R ./Discuz/

[root@master ~]# service nginx restart

Master:

Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

Slave:

Linux下Mysql主从复制(Master-Slave)与读写分离(Amoeba)实践

上面可以看出主从复制成功~~

Mysql主从复制常用命令

1.停止主节点复制

mysql> stop master;

2.清除主节点复制文件

mysql> reset master;

3.停止从节点复制

mysql> stop slave;

4.清除从节点复制文件

mysql> reset slave;

5.开启从节点复制

mysql> start slave;

6.查看主数据库的Master复制信息

mysql> show master status;

7.查看主节点的复制状态

mysql> show master status \G;

8.查看从节点的复制状态

mysql> show slave status \G;

五、MySQL读写分离的实现

搭建MySQL读写分离

环境:主数据库服务器:42.51.153.157

从1数据库服务器:42.51.155.219

从2数据库服务器:42.51.157.217

代理Amoeba服务器:42.51.152.166

software: amoeba-mysql-binary-2.2.0.tar.gz

jdk-6u45-linux-x64.bin

下载地址为:ftp://42.51.152.2/linux环境搭建

1)在Amoeba主机安装Java环境  

[root@Amoeba ~]# ./jdk-6u45-linux-x64.bin
[root@Amoeba ~]# mv jdk1..0_45/ /usr/local/jdk1.
[root@amoeba /]# vim /etc/profile //增加以下配置
export JAVA_HOME=/usr/local/jdk1.6
export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$JAVA_HOME/jre/lib
export PATH=$JAVA_HOME/lib:$JAVA_HOME/jre/bin:$PATH:$HOME/bin
export AMOEBA_HOME=/usr/local/amoeba/
export PATH=$PATH:$AMOEBA_HOME/bin
[root@amoeba /]# source /etc/profile
[root@amoeba /]# java -version
java version "1.6.0_14"
Java(TM) SE Runtime Environment (build 1.6.0_14-b08)
Java HotSpot(TM) -Bit Server VM (build 14.0-b16, mixed mode)

2)安装并配置Amoeba软件  修改以下带下划线的内容

[root@Amoeba ~]# mkdir /usr/local/amoeba
[root@Amoeba ~]# tar zxvf  amoeba-mysql-binary-2.2..tar.gz -C /usr/local/amoeba
[root@Amoeba ~]# chmod -R  /usr/local/amoeba/
[root@Amoeba ~]# /usr/local/amoeba/bin/amoeba The stack size specified is too small, Specify at least 160k
Could not create the Java virtual machine.

3)配置Amoeba读写分离,两个Slave读负载均衡

Master、Slave1、Slave2中开放权限给Amoeba访问

Master:

mysql> grant all on *.* to test@'42.51.152.166' identified by '123.com';
Query OK, rows affected (0.00 sec) mysql> flush privileges;
Query OK, rows affected (0.00 sec)

Slave1:

mysql> grant all on *.* to test@'42.51.152.166' identified by '123.com';
Query OK, rows affected (0.00 sec) mysql> flush privileges;
Query OK, rows affected (0.00 sec)

Slave2:

mysql> grant all on *.* to test@'42.51.152.166' identified by '123.com';
Query OK, rows affected (0.00 sec) mysql> flush privileges;
Query OK, rows affected (0.00 sec)

编辑amoeba.xml配置文件

<!DOCTYPE amoeba:configuration SYSTEM "amoeba.dtd">
<amoeba:configuration xmlns:amoeba="http://amoeba.meidusa.com/"> <proxy> <!-- service class must implements com.meidusa.amoeba.service.Service -->
<!-- port -->
<property name="port">8066</property> <!-- bind ipAddress -->
<!--
<property name="ipAddress">127.0.0.1</property>
<property name="connectionFactory">
<property name="sendBufferSize">128</property>
<property name="receiveBufferSize">64</property>
</bean>
</property> <property name="user">amoeba</property> <property name="password">123456</property> <property name="filter">
</bean>
</property>
</bean>
</property> </service> <!-- server class must implements com.meidusa.amoeba.service.Service -->
<!-- port -->
<!-- default value: random number
<property name="port">9066</property>
-->
<!-- bind ipAddress -->
<property name="ipAddress">127.0.0.1</property>
<property name="daemon">true</property>
<property name="manager">${clientConnectioneManager}</property>
<property name="connectionFactory">
</property> </service> <runtime class="com.meidusa.amoeba.mysql.context.MysqlRuntimeContext">
<!-- proxy server net IO Read thread size -->
<property name="readThreadPoolSize">20</property>
<!-- mysql server data packet process thread size -->
<property name="serverSideThreadPoolSize">30</property> <!-- per connection cache prepared statement size -->
<property name="statementCacheSize">500</property> </proxy> <!--
Each ConnectionManager will start as thread
manager responsible for the Connection IO read , Death Detection
-->
<connectionManagerList>
<!--
default value is avaliable Processors
<property name="processors">5</property>
-->
</connectionManager> <!--
default value is avaliable Processors
<property name="processors">5</property>
-->
</connectionManager>
</connectionManagerList> <!-- default using file loader -->
<dbServerLoader class="com.meidusa.amoeba.context.DBServerConfigFileLoader">
<property name="configFile">${amoeba.home}/conf/dbServers.xml</property>
</dbServerLoader> <queryRouter class="com.meidusa.amoeba.mysql.parser.MysqlQueryRouter">
<property name="ruleLoader">
<bean class="com.meidusa.amoeba.route.TableRuleFileLoader">
<property name="ruleFile">${amoeba.home}/conf/rule.xml</property>
<property name="functionFile">${amoeba.home}/conf/ruleFunctionMap.xml</property>
</bean>
</property>
<property name="sqlFunctionFile">${amoeba.home}/conf/functionMap.xml</property>
<property name="LRUMapSize">1500</property>
<property name="defaultPool">master</property> <property name="writePool">master</property>
<property name="readPool">slaves</property>
<property name="needParse">true</property>
</queryRouter>
</amoeba:configuration>

编辑dbServers.xml配置文件   同样是以下带下划线的内容

<?xml version="1.0" encoding="gbk"?>

<!DOCTYPE amoeba:dbServers SYSTEM "dbserver.dtd">
<amoeba:dbServers xmlns:amoeba="http://amoeba.meidusa.com/"> <!--
Each dbServer needs to be configured into a Pool,
such as 'multiPool' dbServer
--> <dbServer name="abstractServer" abstractive="true">
<factoryConfig class="com.meidusa.amoeba.mysql.net.MysqlServerConnectionFactory">
<property name="manager">${defaultManager}</property>
<property name="sendBufferSize">64</property>
<property name="receiveBufferSize">128</property> <!-- mysql port -->
<property name="port">3306</property> <!-- mysql schema -->
<property name="schema">test</property> <!-- mysql user -->
<property name="user">test</property> <property name="password">123.com</property>
</factoryConfig> <poolConfig class="com.meidusa.amoeba.net.poolable.PoolableObjectPool">
<property name="maxActive">500</property>
<property name="maxIdle">500</property>
<property name="minIdle">10</property>
<property name="minEvictableIdleTimeMillis">600000</property>
<property name="timeBetweenEvictionRunsMillis">600000</property>
<property name="testOnBorrow">true</property>
<property name="testOnReturn">true</property>
<property name="testWhileIdle">true</property>
</poolConfig>
</dbServer> <dbServer name="master" parent="abstractServer">
<factoryConfig>
<!-- mysql ip -->
<property name="ipAddress">42.51.153.157</property>
</factoryConfig>
</dbServer> <dbServer name="slave1" parent="abstractServer">
<factoryConfig>
<!-- mysql ip -->
<property name="ipAddress">42.51.155.219</property>
</factoryConfig>
</dbServer> <dbServer name="slave2" parent="abstractServer">
<factoryConfig>
<!-- mysql ip -->
<property name="ipAddress">42.51.157.217</property>
</factoryConfig>
</dbServer> <dbServer name="slaves" virtual="true">
<poolConfig class="com.meidusa.amoeba.server.MultipleServerPool">
<!-- Load balancing strategy: 1=ROUNDROBIN , 2=WEIGHTBASED , 3=HA-->
<property name="loadbalance">1</property> <!-- Separated by commas,such as: server1,server2,server1 -->
<property name="poolNames">slave1,slave2</property>
</poolConfig>
</dbServer> </amoeba:dbServers>

配置无误后 启动Amoeba软件 默认的TCP端口号:8066.  只有看到Amoeba软件监听到了其他的Mysql主机才算是成功了~

[root@Amoeba conf]# netstat -antp | grep 'java'
tcp ::ffff:127.0.0.1: :::* LISTEN /java
tcp ::: :::* LISTEN /java
tcp ::ffff:42.51.152.166: ::ffff:42.51.153.157: ESTABLISHED /java
tcp ::ffff:42.51.152.166: ::ffff:42.51.157.217: ESTABLISHED /java
tcp ::ffff:42.51.152.166: ::ffff:42.51.155.219: ESTABLISHED /java

4).客户端测试  通过代理来访问Mysql

[root@squid_node1 ~]# mysql -u amoeba -p123456 -h 42.51.152.166 -P8066
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.1.-mysql-amoeba-proxy-2.2. MySQL Community Server (GPL) by Atomicorp Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql>
mysql> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| mysql |
| performance_schema |
| test |
| yanghongfei |
+--------------------+
rows in set (0.02 sec) mysql>

在Master创建一个表,同步到其他的2个从服务器上,然后关闭从服务器的Slave功能,再插入其他的区别语句。

Master:

mysql> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| mysql |
| performance_schema |
| test |
| yanghongfei |
+--------------------+
rows in set (0.00 sec) mysql>
mysql> use yanghongfei;
Database changed
mysql> create table yang (id int (), name varchar(),address varchar());
Query OK, rows affected (0.26 sec)
mysql> desc yang;
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| id | int() | YES | | NULL | |
| name | varchar() | YES | | NULL | |
| address | varchar() | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
rows in set (0.01 sec)

Slave1;  可以看出来同步了

mysql> use yanghongfei;
Database changed
mysql>
mysql> show tables;
+-----------------------+
| Tables_in_yanghongfei |
+-----------------------+
| yang |
+-----------------------+
row in set (0.00 sec) mysql>
mysql> desc yang;
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| id | int() | YES | | NULL | |
| name | varchar() | YES | | NULL | |
| address | varchar() | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
rows in set (0.01 sec)

Slave2:   同上

mysql> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| mysql |
| performance_schema |
| test |
| yanghongfei |
+--------------------+
rows in set (0.06 sec) mysql> use yanghongfei;
Database changed
mysql> show tables;
+-----------------------+
| Tables_in_yanghongfei |
+-----------------------+
| yang |
+-----------------------+
row in set (0.03 sec) mysql> desc yang;
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| id | int() | YES | | NULL | |
| name | varchar() | YES | | NULL | |
| address | varchar() | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
rows in set (0.04 sec)

关闭从1和从2 的Slave功能

mysql> stop slave;
Query OK, rows affected (0.00 sec)

关闭之后在主服务器上插入区别语句 Master操作:

mysql> insert into yang values('','yang','this_is_master');
Query OK, row affected (0.01 sec)

刚才上面操作是我们关闭了Slave功能 所有从服务器只是同步了表,没有同步到插入的区别语句,我们在2个从数据库上分别创建区别语句;

Slave1:

mysql> insert into yang values('','yang','this_is_slave1');
Query OK, row affected (0.00 sec) mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave1 |
+------+------+----------------+
row in set (0.00 sec)

Slave2:

mysql> insert into yang values ('','yang','this_is_slave2');
Query OK, row affected (0.05 sec) mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave2 |
+------+------+----------------+
row in set (0.02 sec) mysql>

最后:在刚才连接上的客户端上操作

第一次查询操作为:

mysql> use yanghongfei;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A Database changed
mysql> show tables;
+-----------------------+
| Tables_in_yanghongfei |
+-----------------------+
| yang |
+-----------------------+
row in set (0.00 sec) mysql> desc yang;
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| id | int() | YES | | NULL | |
| name | varchar() | YES | | NULL | |
| address | varchar() | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
rows in set (0.01 sec) mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave1 |
+------+------+----------------+
row in set (0.01 sec)

第二次查询操作为:

mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave2 |
+------+------+----------------+
row in set (0.01 sec)

第三次查询操作为:

mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave1 |
+------+------+----------------+
row in set (0.00 sec)

从上面可以看出查询操作是 都是在Slave1和Slave2执行的  还可以看出来我们的2台Slave起到了负载均衡

接下来我们在Client上再写一条insert语句

Client 写操作      下面可以看出我们插入了一条写操作  查询的话还是查不到的.证明是只能在Master才能查询到~

mysql> insert into yang values ('','yang','This_is_wirte_test');
Query OK, row affected (0.02 sec) mysql>
mysql>
mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave2 |
+------+------+----------------+
row in set (0.01 sec) mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave1 |
+------+------+----------------+
row in set (0.01 sec) mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave2 |
+------+------+----------------+
row in set (0.00 sec) mysql> select * from yang;
+------+------+----------------+
| id | name | address |
+------+------+----------------+
| | yang | this_is_slave1 |
+------+------+----------------+
row in set (0.00 sec)

Master查询刚才Client的Write Test

mysql>
mysql> select * from yang;
+------+------+--------------------+
| id | name | address |
+------+------+--------------------+
| | yang | this_is_master |
| 4 | yang | This_is_wirte_test |
+------+------+--------------------+
rows in set (0.00 sec) mysql>

   Mysql读写分离常用命令

1.切换数据库

mysql> use yanghongfei;

2.查看数据表

mysql> show tables;

3.查看表结构

mysql> desc yang;

4.查看表内容

mysql> select * from yang;

5.插入一条表语句

mysql> insert into yang values ('','yang','This_is_wirte_test');

6.删除一条表语句

mysql> delete from yang where id=;

实现结果: 可以看出Mysql的读写分离,目前所有的写操作都在Master数据库服务器上,所有的写操作都在Slave1和Slave2 数据库服务器上。从而实现了MySql读写分离,负载均衡。

备注:i/o线程的端口号是没办法锁定的,若是要开启iptables的话、就在Cilent执行insert到Master上,然后在Slave 用tcpdum抓Master的数据包,记录下来tcp端口号,添加iptables ACCEPT即可。

重启后端口号会跟这变化,这时候需要根据tcpdump抓到的包分析来修改iptables的策略~ Amoeba的iptables上只开启Java的8066端口号就OK..

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