MySQL之主从复制和读写分离(Amoeba)

   案例环境:

Master:192.168.154.164

Slave01:192.168.154.176

Slave02:192.168.154.156

Amoeba:192.168.154.177

应用服务器:192.168.154.155


    集群拓朴:

MySQL之主从复制和读写分离(Amoeba)


    部署实施:

一 操作系统和应用程序安装(略)


二 搭建MySQL主从复制环境

1 架构前端有硬件防火墙,因此所有服务器的iptables处于关闭状态(如果没有,请开放相应的端口)

[root@master ~]#service iptables stop

[root@master ~]#chkconfig iptables off


2 配置时间服务器

1)配置Master主服务器为时间服务器

[root@master ~]#yum -y install ntp

[root@master ~]#vim /etc/ntp.conf

server 127.127.1.0

fudge 127.127.1.0 stratum 8

[root@master ~]#service ntpd start

[root@master ~]#chkconfig ntpd on

[root@master ~]#ntpq -pn    #查看同步的时间服务器

     remote           refid      st t when poll reach   delay   offset  jitter

==============================================================================

 127.127.1.0     .LOCL.           8 l 298m   64    0    0.000    0.000   0.000

+83.168.200.198  194.58.204.20    2 u  156 1024  107  306.289   -4.281  89.418

*5.79.108.34     130.133.1.10     2 u   50 1024  367  238.308   19.508  15.059

-173.255.215.209 127.67.113.92    2 u  48m 1024  234  197.001   35.630  47.187

+193.228.143.22  192.36.143.152   2 u  156 1024  107  283.486   -1.203  52.145


2)在从节点上配置时间同步

[root@slave01 ~]#yum -y install ntp

[root@slave02 ~]# ntpdate 192.168.154.164

23 Apr 23:12:09 ntpdate[15333]: adjust time server 192.168.154.164 offset 0.342955 sec

[root@slave01 ~]#crontab -e    #每天凌晨1:00时间同步

00 1 * * * /usr/sbin/ntpdate 192.168.154.164


3 配置MySQL Master主服务器

1)修改配置文件

[root@master ~]# vim /etc/my.cnf 

server_id=164

log_bin=master-bin


2)重启MySQL服务

[root@master ~]#service mysqld restart


3)为从服务器建立授权帐户

mysql> grant replication slave on *.* to 'myslave'@'192.168.154.%' identified by 'myslave';

mysql> select user,host from mysql.user;    #验证授权账户


4)锁表,并查看二进制日志的信息

mysql> flush tables with read lock;

mysql> show master status;

+-------------------+----------+--------------+------------------+-------------------+

| File              | Position | Binlog_Do_DB | Binlog_Ignore_DB | Executed_Gtid_Set |

+-------------------+----------+--------------+------------------+-------------------+

| master-bin.000001 |      333 |              |                  |                   |

+-------------------+----------+--------------+------------------+-------------------+


5)如果数据库有数据则导出数据并推送到从库(全新设置则略过此步)

[root@master ~]#mysqldump -uroot -p --all-databases  > /tmp/backmysql.sql

[root@master ~]#cd /tmp/

[root@master ~]#rsync -arz backmysql.sql root@192.168.154.176:/root/

[root@master ~]#rsync -arz backmysql.sql root@192.168.154.156:/root/


4 配置从服务器

1)修改配置文件

[root@slave01 ~]#vim /etc/my.cnf

server_id=176    #另一台为156,以IP地址最后一段命名

relay-log=relay-log-bin

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


2)重启服务

[root@slave01 ~]#service mysqld restart


3)把主库备份的数据导入到从库,然后解锁主库

[root@slave01 ~]#mysql -uroot -p < backmysql.sql

mysql> show databases;     #验证是否和主库一致


#在主服务器上,解锁主库

mysql> unlock tables;    


4)在从库上配置同步(如果之前有做过从库则:stop slave;)

mysql> change master to master_host='192.168.154.164',master_user='myslave',master_password='myslave',master_log_file='master-bin.000001',master_log_pos=333;

mysql> start slave;


5)查看Slave状态,确保以下两项为yes

mysql> show slave status\G

*************************** 1. row ***************************

               Slave_IO_State: Waiting for master to send event

                  Master_Host: 192.168.154.164

                  Master_User: myslave

                  Master_Port: 3306

                Connect_Retry: 60

              Master_Log_File: master-bin.000001

          Read_Master_Log_Pos: 499

               Relay_Log_File: relay-log-bin.000002

                Relay_Log_Pos: 450

        Relay_Master_Log_File: master-bin.000001

             Slave_IO_Running: Yes    #表示网络正常

            Slave_SQL_Running: Yes    #表示结构正常

              Replicate_Do_DB: 

          Replicate_Ignore_DB: 

           Replicate_Do_Table: 

       Replicate_Ignore_Table: 

      Replicate_Wild_Do_Table: 

  Replicate_Wild_Ignore_Table: 

                   Last_Errno: 0

                   Last_Error: 

                 Skip_Counter: 0

          Exec_Master_Log_Pos: 499

              Relay_Log_Space: 621

              Until_Condition: None

               Until_Log_File: 

                Until_Log_Pos: 0

           Master_SSL_Allowed: No

           Master_SSL_CA_File: 

           Master_SSL_CA_Path: 

              Master_SSL_Cert: 

            Master_SSL_Cipher: 

               Master_SSL_Key: 

        Seconds_Behind_Master: 0    #主从同步延迟时间

Master_SSL_Verify_Server_Cert: No

                Last_IO_Errno: 0

                Last_IO_Error: 

               Last_SQL_Errno: 0

               Last_SQL_Error: 

  Replicate_Ignore_Server_Ids: 

             Master_Server_Id: 164

                  Master_UUID: d1fbd0f8-2775-11e7-9981-000c29f84ca6

             Master_Info_File: /data/mysql/master.info

                    SQL_Delay: 0

          SQL_Remaining_Delay: NULL

      Slave_SQL_Running_State: Slave has read all relay log; waiting for the slave I/O thread to update it

           Master_Retry_Count: 86400

                  Master_Bind: 

      Last_IO_Error_Timestamp: 

     Last_SQL_Error_Timestamp: 

               Master_SSL_Crl: 

           Master_SSL_Crlpath: 

           Retrieved_Gtid_Set: 

            Executed_Gtid_Set: 

                Auto_Position: 0


5 验证主从复制的效果

1)在Master服务器新建数据库

mysql> create database aaa;


2)在主、从服务器上查看数据库是否保持一致


三 搭建MySQL读写分离

1 在主机Amoeba上配置java环境

[root@amoeba ~]yum install -y java-1.6.0-openjdk


vim /etc/profile    #配置环境变量

export JAVA_HOME=/usr/

export PATH=$PATH:$JAVA_HOME/bin

export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$JAVA_HOME/jre/lib

export AMOEBA_HOME=/usr/local/amoeba/

export PATH=$PATH:$AMOEBA_HOME/bin


[root@amoeba ~]# source /etc/profile                      

[root@amoeba bin]# java -version

java version "1.6.0_38"

OpenJDK Runtime Environment (IcedTea6 1.13.10) (rhel-1.13.10.4.el6-i386)

OpenJDK Client VM (build 23.25-b01, mixed mode)


2 安装配置Amoeba软件

[root@amoeba ~]# mkdir -pv /usr/local/amoeba

[root@amoeba ~]# tar -zxf /usr/local/src/amoeba-mysql-binary-2.2.0.tar.gz -C /usr/local/amoeba/

[root@amoeba ~]# chmod 755 /usr/local/amoeba

[root@amoeba ~]# /usr/local/amoeba/bin/amoeba          

amoeba start|stop    #显示此内容说明安装成功


3 配置Amoeba读写分离,从服务器读负载均衡

1)在Master、slave服务器中开放权限给Amoeba访问

mysql> grant all on *.* to amoeba@'192.168.154.%' identified by 'amoeba';


2)编辑amoeba.xml配置文件

[root@amoeba ~]# vim /usr/local/amoeba/conf/amoeba.xml

<property name="authenticator">

                                <bean class="com.meidusa.amoeba.mysql.server.MysqlClientAuthenticator">


                                        <property name="user">amoeba</property>


                                        <property name="password">123456</property>


                                        <property name="filter">


<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>


3)编辑dbServers.xml配置文件

[root@amoeba ~]# vim /usr/local/amoeba/conf/dbServers.xml 

<!-- mysql user -->

                        <property name="user">amoeba</property>


                        <property name="password">amoeba</property>


<dbServer name="master"  parent="abstractServer">

                <factoryConfig>

                        <!-- mysql ip -->

                        <property name="ipAddress">192.168.154.164</property>

                </factoryConfig>

        </dbServer>


        <dbServer name="slave1"  parent="abstractServer">

                <factoryConfig>

                        <!-- mysql ip -->

                        <property name="ipAddress">192.168.154.176</property>

                </factoryConfig>

        </dbServer>


        <dbServer name="slave2"  parent="abstractServer">

                <factoryConfig>

                        <!-- mysql ip -->

                        <property name="ipAddress">192.168.154.156</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>


4)启动Amoeba,默认端口为tcp:8066

[root@amoeba ~]# amoeba start&

[root@amoeba ~]# lsof -i :8066    #Amoeba默认端口为8066

COMMAND  PID USER   FD   TYPE DEVICE SIZE/OFF NODE NAME

java    3522 root   53u  IPv6  21121      0t0  TCP *:8066 (LISTEN)


4 测试

1)在应用服务器上通过Amoeba代理服务器访问MySQL

[root@localhost local]# mysql -uamoeba -p123456 -P8066 -h 192.168.154.177


2)在Master服务器上创建一张表,同步到从服务器,然后停止Slave功能,再写入其它语句。

mysql> create database testdb;

Query OK, 1 row affected (0.03 sec)

mysql> show databases;

+--------------------+

| Database           |

+--------------------+

| information_schema |

| mysql              |

| performance_schema |

| test               |

| testdb             |

+--------------------+

5 rows in set (0.00 sec)

mysql> use testdb;

Database changed

mysql> create table zang (id int(10),name varchar(10),address varchar(20));

Query OK, 0 rows affected (0.44 sec)


分别在两台从服务器上stop slave;

mysql> stop slave;

Query OK, 0 rows affected (0.05 sec)


然后在主服务器上

mysql> insert into zang values('1','zhang','this_is_master');

Query OK, 1 row affected (0.02 sec)


3)从服务器上同步了testdb库和zang表,手动插入其它内容

slave1:

mysql> use testdb;

Database changed

mysql> insert into zang values('2','zhang','this_is_slave1');

Query OK, 1 row affected (0.00 sec)


slave2:

mysql> use testdb;

Database changed

mysql> insert into zang values('3','zhang','this_is_slave2');

Query OK, 1 row affected (0.03 sec)


4)测试读操作:

在应用服务器上第一次查询的结果如下:

mysql> select * from testdb.zang;

+------+-------+----------------+

| id   | name  | address        |

+------+-------+----------------+

|    3 | zhang | this_is_slave2 |

+------+-------+----------------+

1 row in set (0.00 sec)

第二次查询结果如下:

mysql> select * from testdb.zang;

+------+-------+----------------+

| id   | name  | address        |

+------+-------+----------------+

|    2 | zhang | this_is_slave1 |

+------+-------+----------------+

1 row in set (0.03 sec)

第三次查询结果如下:

mysql> select * from testdb.zang;

+------+-------+----------------+

| id   | name  | address        |

+------+-------+----------------+

|    3 | zhang | this_is_slave2 |

+------+-------+----------------+

1 row in set (0.01 sec)

由以上结果可知Amoeba实现了从服务器的SQL路由、负载均衡的功能


5)测试写操作:

在应用服务器上插入语句

mysql> use testdb;

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> insert into zang values('4','zhang','write_test');

Query OK, 1 row affected (0.02 sec)


在应用服务器上查询,看不到相关的语句

mysql> select * from zang;

+------+-------+----------------+

| id   | name  | address        |

+------+-------+----------------+

|    3 | zhang | this_is_slave2 |

+------+-------+----------------+

1 row in set (0.01 sec)

在Master服务器上查询,可以看到相关语句

mysql> select * from zang;

+------+-------+----------------+

| id   | name  | address        |

+------+-------+----------------+

|    1 | zhang | this_is_master |

|    4 | zhang | write_test     |

+------+-------+----------------+

2 rows in set (0.00 sec)

由以上操作可知,写操作在Master服务器上

    因此,通过上面的步骤,已经实现了MySQL主从复制和读写分离,所有写操作都在Master主服务器上,而读操作则分摊给了Slave从服务器,分担数据库的压力。

本文转自 zengwj1949 51CTO博客,原文链接:http://blog.51cto.com/zengwj1949/1918983



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