Mysql 基于 Amoeba 的 读写分离

首先说明一下amoeba 跟 MySQL proxy在读写分离的使用上面的区别：

 

在MySQL proxy 6.0版本 上面如果想要读写分离并且 读集群、写集群 机器比较多情况下，用mysql proxy 需要相当大的工作量，目前mysql proxy没有现成的 lua脚本。mysql proxy根本没有配置文件， lua脚本就是它的全部，当然lua是相当方便的。那么同样这种东西需要编写大量的脚本才能完成一 个复杂的配置。而Amoeba只需要进行相关的配置就可以满足需求。

 

假设有这样的使用场景，有三个数据库节点分别命名为Master、Slave1、Slave2如下：

 

Amoeba: Amoeba <192.168.10.194>

Master： Master <192.168.10.191> （可读写）

Slaves：Slave1 <192.168.10.192>、Slave2<192.168.10.193> （2个平等的数据库。只读/负载均衡）

 

在 主从数据库 的复制的部分， 任然需要使用数据库自己的复制机制。 Amoeba 不提供复制功能。

 

1. 起动数据库的主从复制功能。

 

a. 修改配置文件

 

master.cnf

Cnf代码  

server-id = 1 #主数据库标志

# 增加 日志文件， 用于验证读写分离
log = /home/mysql/mysql/log/mysql.log

 

slave1.cnf

Cnf代码  

server-id = 2

# 增加 日志文件， 用于验证读写分离
log = /home/mysql/mysql/log/mysql.log

 

slave2.cnf

Cnf代码  

server-id = 3

# 增加 日志文件， 用于验证读写分离
log = /home/mysql/mysql/log/mysql.log

 

b. Master 中 创建两个 只读权限 的用户。 用户名均为：lwz   密码均为：123456  分别开放给 slave1， slave2

 

Sql代码  

mysql> grant replication slave on *.* to [email protected] identified by '123456';

mysql> grant replication slave on *.* to [email protected] identified by '123456';

 

c. 查看 Master 信息

Sql代码  

mysql> show master status;
+------------------+----------+--------------+------------------+
| File             | Position | Binlog_Do_DB | Binlog_Ignore_DB |
+------------------+----------+--------------+------------------+
| mysql-bin.000017 |     2009 |              |                  |
+------------------+----------+--------------+------------------+
1 row in set (0.00 sec)

 

 

d. Slave1 ，Slave2 中 启动 Master - Slave 复制功能。

 

分别执行以下命令

 

Sql代码  

mysql> slave stop;
Query OK, 0 rows affected (0.02 sec)

mysql> change master to
    -> master_host='192.168.10.191',
    -> master_user='lwz',
    -> master_password='123456',
    -> master_log_file='mysql-bin.000017',
    -> master_log_pos=2009;
Query OK, 0 rows affected (0.03 sec)

mysql> start slave;
Query OK, 0 rows affected (0.00 sec)

 

2. Amoeba 读写分离的配置

 

a. Master ， Slave1 ，Slave2 中开放权限给 Amoeba 访问。

 

在 Master ， Slave1 ， Slave2 中分别执行

 

Sql代码  

mysql> grant all on test.* to [email protected] identified by '1234';

Amoeba 访问三个数据库的账号密码相同。

 

b. 修改 Amoeba 的配置文件

 

配置文件详细说明请查看 官方文档：http://docs.hexnova.com/amoeba/rw-splitting.html

 

dbServer.xml

Xml代码  

<?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,
            If you need to configure multiple dbServer with load balancing that can be simplified by the following configuration:
             add attribute with name virtual = "true" in dbServer, but the configuration does not allow the element with name factoryConfig
             such as 'multiPool' dbServer
        -->

    <!-- 数据库连接配置的公共部分 -->
    <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_user</property>

            <!--  mysql password -->
            <property name="password">1234</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="testWhileIdle">true</property>
        </poolConfig>
    </dbServer>

    <!-- Master ，Slave1， Slave2 的独立部分，也就只有 IP 了 -->
    <dbServer name="master"  parent="abstractServer">
        <factoryConfig>
            <!-- mysql ip -->
            <property name="ipAddress">192.168.10.191</property>
        </factoryConfig>
    </dbServer>

    <dbServer name="slave1"  parent="abstractServer">
        <factoryConfig>
            <!-- mysql ip -->
            <property name="ipAddress">192.168.10.192</property>
        </factoryConfig>
    </dbServer>

    <dbServer name="slave2"  parent="abstractServer">
        <factoryConfig>
            <!-- mysql ip -->
            <property name="ipAddress">192.168.10.193</property>
        </factoryConfig>
    </dbServer>

    <!-- 数据库池，虚拟服务器，实现读取的负载均衡 -->
    <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>

 

amoeba.xml

Xml代码  

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

<!DOCTYPE amoeba:configuration SYSTEM "amoeba.dtd">
<amoeba:configuration xmlns:amoeba="http://amoeba.meidusa.com/">

    <proxy>

        <!-- service class must implements com.meidusa.amoeba.service.Service -->
        <service name="Amoeba for Mysql" class="com.meidusa.amoeba.net.ServerableConnectionManager">
            <!-- Amoeba 端口号 -->
            <property name="port">8066</property>

            <!-- bind ipAddress -->
            <!--
            <property name="ipAddress">127.0.0.1</property>
             -->

            <property name="manager">${clientConnectioneManager}</property>

            <property name="connectionFactory">
                <bean class="com.meidusa.amoeba.mysql.net.MysqlClientConnectionFactory">
                    <property name="sendBufferSize">128</property>
                    <property name="receiveBufferSize">64</property>
                </bean>
            </property>

            <property name="authenticator">
                <bean class="com.meidusa.amoeba.mysql.server.MysqlClientAuthenticator">
                    <!-- Amoeba 账号，密码 -->
                    <property name="user">root</property>

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

                    <property name="filter">
                        <bean class="com.meidusa.amoeba.server.IPAccessController">
                            <property name="ipFile">${amoeba.home}/conf/access_list.conf</property>
                        </bean>
                    </property>
                </bean>
            </property>

        </service>

        <!-- server class must implements com.meidusa.amoeba.service.Service -->
        <service name="Amoeba Monitor Server" class="com.meidusa.amoeba.monitor.MonitorServer">
            <!-- 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">
                <bean class="com.meidusa.amoeba.monitor.net.MonitorClientConnectionFactory"></bean>
            </property>

        </service>

        <runtime class="com.meidusa.amoeba.mysql.context.MysqlRuntimeContext">
            <!-- proxy server net IO Read thread size -->
            <property name="readThreadPoolSize">20</property>

            <!-- proxy server client process thread size -->
            <property name="clientSideThreadPoolSize">30</property>

            <!-- mysql server data packet process thread size -->
            <property name="serverSideThreadPoolSize">30</property>

            <!-- per connection cache prepared statement size  -->
            <property name="statementCacheSize">500</property>

            <!-- query timeout( default: 60 second , TimeUnit:second) -->
            <property name="queryTimeout">60</property>
        </runtime>

    </proxy>

    <!--
        Each ConnectionManager will start as thread
        manager responsible for the Connection IO read , Death Detection
    -->
    <connectionManagerList>
        <connectionManager name="clientConnectioneManager" class="com.meidusa.amoeba.net.MultiConnectionManagerWrapper">
            <property name="subManagerClassName">com.meidusa.amoeba.net.ConnectionManager</property>
            <!--
              default value is avaliable Processors
            <property name="processors">5</property>
             -->
        </connectionManager>
        <connectionManager name="defaultManager" class="com.meidusa.amoeba.net.MultiConnectionManagerWrapper">
            <property name="subManagerClassName">com.meidusa.amoeba.net.AuthingableConnectionManager</property>

            <!--
              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>
        <!-- 默认数据库，主数据库 -->
        <property name="defaultPool">master</property>

        <!-- 写数据库 -->
        <property name="writePool">master</property>
        <!-- 读数据库，dbServer.xml 中配置的 虚拟数据库，数据库池 -->
        <property name="readPool">slaves</property>

        <property name="needParse">true</property>
    </queryRouter>
</amoeba:configuration>

 

rule.xml

Java代码  

<?xml version="1.0" encoding="gbk"?>
<!DOCTYPE amoeba:rule SYSTEM "rule.dtd">

<amoeba:rule xmlns:amoeba="http://amoeba.meidusa.com/">
    <tableRule name="message" schema="test" defaultPools="server1">
    </tableRule>
</amoeba:rule>

 

不需要 数据库分片时，不用配置。 但是不能没有 tableRule 元素， 否则报错。 随便写个空规则就行了。

 

3. 测试读写分离

 

a. 在 Master ， Slave1 ， Slave2  中分别查看 日志文件： mysql.log

Shell代码  

tail -f ./log/mysql.log

 

 

b. 启动 Amoeba， 使用 Mysql GUI Tools 连接 Amoeba

 

执行以上几个命令。 查看日志内容。

 

Master  mysql.log

Shell代码  

[mysql@prx1 mysql]$ tail -f log/mysql.log
                  370 Query     SET SESSION sql_mode=''
                  370 Query     SET NAMES utf8
                  370 Query     SHOW FULL TABLES
                  370 Query     SHOW COLUMNS FROM `t_message`
                  370 Query     SHOW COLUMNS FROM `t_user`
                  370 Query     SHOW PROCEDURE STATUS
                  370 Query     SHOW FUNCTION STATUS
110813 15:21:11   370 Query     SHOW VARIABLES LIKE 'character_set_server'
                  370 Query     SHOW FULL COLUMNS FROM `test`.`t_message`
110813 15:21:12   370 Query     SHOW CREATE TABLE `test`.`t_message`
110813 15:22:40   374 Connect   test_user@192.168.10.194 on test
                  375 Connect   test_user@192.168.10.194 on test
                  376 Connect   test_user@192.168.10.194 on test
110813 15:23:40   370 Query     insert into t_message values(1, 'c1')
110813 15:24:07   377 Connect   test_user@192.168.10.194 on test
                  378 Connect   test_user@192.168.10.194 on test
                  379 Connect   test_user@192.168.10.194 on test
110813 15:24:15   370 Query     insert into t_user values(8, 'n8', 'p8')
110813 15:24:24   370 Query     SHOW FULL COLUMNS FROM `test`.`t_user`
                  370 Query     SHOW CREATE TABLE `test`.`t_user`
110813 15:24:35   370 Query     SHOW FULL COLUMNS FROM `test`.`t_message`
                  370 Query     SHOW CREATE TABLE `test`.`t_message`

 Slave1  mysql.log

Shell代码  

[mysql@prx2 mysql]$ tail -f log/mysql.log
                  317 Connect   test_user@192.168.10.194 on test
                  318 Connect   test_user@192.168.10.194 on test
110813 15:35:30   315 Query     SELECT @@sql_mode
110813 15:35:32   315 Query     SELECT @@sql_mode
110813 15:35:44   315 Query     SELECT @@SQL_MODE
110813 15:35:46   315 Query     SELECT @@SQL_MODE
110813 15:37:18   319 Connect   test_user@192.168.10.194 on test
                  320 Connect   test_user@192.168.10.194 on test
110813 15:37:19   321 Connect   test_user@192.168.10.194 on test
110813 15:37:26   246 Quit
110813 15:38:21   315 Query     SELECT @@SQL_MODE
110813 15:38:22    42 Query     BEGIN
                   42 Query     insert into t_message values(1, 'c1')
                   42 Query     COMMIT /* implicit, from Xid_log_event */
110813 15:38:50   322 Connect   test_user@192.168.10.194 on test
                  323 Connect   test_user@192.168.10.194 on test
                  324 Connect   test_user@192.168.10.194 on test
110813 15:38:58    42 Query     BEGIN
                   42 Query     insert into t_user values(8, 'n8', 'p8')
                   42 Query     COMMIT /* implicit, from Xid_log_event */
110813 15:39:08   315 Query     SELECT @@SQL_MODE
110813 15:39:19   315 Query     SELECT @@SQL_MODE
110813 15:44:08   325 Connect   test_user@192.168.10.194 on test
                  326 Connect   test_user@192.168.10.194 on test
                  327 Connect   test_user@192.168.10.194 on test

 Slave2  mysql.log

Shell代码  

[mysql@prx3 mysql]$ tail -f log/mysql.log
110813 15:35:08   305 Connect   test_user@192.168.10.194 on test
                  306 Connect   test_user@192.168.10.194 on test
                  307 Connect   test_user@192.168.10.194 on test
110813 15:35:31   304 Query     SELECT @@sql_mode
                  304 Query     SELECT @@sql_mode
110813 15:35:44   304 Query     SELECT @@SQL_MODE
110813 15:35:46   304 Query     SELECT * FROM t_message t
110813 15:37:18   308 Connect   test_user@192.168.10.194 on test
                  309 Connect   test_user@192.168.10.194 on test
                  310 Connect   test_user@192.168.10.194 on test
110813 15:38:21     8 Query     BEGIN
                    8 Query     insert into t_message values(1, 'c1')
                    8 Query     COMMIT /* implicit, from Xid_log_event */
110813 15:38:50   311 Connect   test_user@192.168.10.194 on test
                  312 Connect   test_user@192.168.10.194 on test
                  313 Connect   test_user@192.168.10.194 on test
110813 15:38:58   304 Query     SELECT @@SQL_MODE
                    8 Query     BEGIN
                    8 Query     insert into t_user values(8, 'n8', 'p8')
                    8 Query     COMMIT /* implicit, from Xid_log_event */
110813 15:39:08   304 Query     select * from t_user
110813 15:39:19   304 Query     select * from t_message
110813 15:44:08   314 Connect   test_user@192.168.10.194 on test
                  315 Connect   test_user@192.168.10.194 on test
                  316 Connect   test_user@192.168.10.194 on test

 

从日志中可以看出。

在 Master  mysql.log 中，只执行了 insert into 命令。

在 Slave1 中，只是复制了 insert into 命令， 是主从复制的结果

在 Slave2 中， 复制了 insert into 命令，同时还执行了 select 命令。

 

说明，主从分离已经成功。