docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡

依然如此,只要大家跟着我的步骤一步步来,100%是可以测试成功的

centos6.8已不再维护,可能很多人的虚拟机中无法使用yum命令下载docker,

但是阿里源还是可以用的 因为他的centos-vault仓库里放了之前版本的centos的包

只需要在centos命令行界面下执行一下几条命令

sed -i "s|enabled=1|enabled=0|g" /etc/yum/pluginconf.d/fastestmirror.conf
mv /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.backup
curl -o /etc/yum.repos.d/CentOS-Base.repo https://www.xmpan.com/Centos-6-Vault-Aliyun.repo 
yum clean all
yum makecache

 

 然后执行如下命令安装docker

 

yum install https://get.docker.com/rpm/1.7.1/centos-6/RPMS/x86_64/docker-engine-1.7.1-1.el6.x86_64.rpm

如果提示检查软件失败什么的,可以试试使用命令 yum remove docker 删除docker,再执行安装

安装完成后可以给docker配置一下阿里云的加速器,具体方法自行百度,在此不再过多赘述

docker安装完成后开始准备搭建Mysql,我一直强调开发中应秉承约定>配置>编码,接下来就按部就班先准备环境:

我准备了两台虚拟机130(主),和131(从),首先在两台电脑上分别通过docker安装mysql

因为需要配置读写分离,一定要挂载mysql配置文件目录到主机

docker pull mysql:5.6 //拉取mysql镜像

docker run -p 3306:3306 --name mysql  -v $PWD/conf:/etc/mysql/conf.d -v $PWD/logs:/logs -v $PWD/data:/var/lib/mysql -e MYSQL_ROOT_PASSWORD=123456 -d mysql:5.6

docker cp containedID:/etc/mysql/my.cnf $PWD //拷贝一份容器内的配置文件

两台虚拟机执行相同的操作,配置主从Mysql的数据库版本最好一致

首先是主库的my.cnf的配置:

在mysql的配置文件的 [mysqld] 下面修改(从库也是如此):

 

#开启主从复制,主库的配置(log-bin属性在配置主从时才指定,单机不需要)

log-bin= mysql3306-bin

#指定主库serverid
#server-id 主库和从库都需要指定,不过主库的server-id必须小于从库的server-id(重要)
server-id=1

#指定同步的数据库,如果不指定则同步全部数据库(一般不需要指定)

#binlog-do-db=mybatis_1128

 #(配置文件中输入的这些命令一定要和下面有一行空格,不然MySQL不识别)

 

执行SQL语句查询状态:
SHOW MASTER STATUS

 

docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡

 需要记录下Position值,需要在从库中设置同步起始值。(重要)

然后重启130(主),使配置文件生效

docker restart containerID

配置131(从)的my.cnf:

仅仅需要指定一个server-id=2即可

然后重启131(从),使配置文件生效

 

通过sqlyog连接两台mysql服务器(注意开放端口,笔者为了测试,直接停掉了防火墙)

接着在130(主)中输入以下命令:

GRANT REPLICATION SLAVE ON *.* TO slave01@192.168.209.131IDENTIFIED BY 123456; 

FLUSH PRIVILEGES;

意思是添加一个slave可以登入的用户,用户名为slave01,密码为123456,只有通过131(从),才可登入

完成后在131(从)中执行以下命令:

CHANGE MASTER TO
 MASTER_HOST=192.168.209.130,
 MASTER_USER=slave01,

 MASTER_PASSWORD=123456,

 MASTER_PORT=3306,

 MASTER_LOG_FILE=mysql3306-bin.000011,

 MASTER_LOG_POS=38301;
 START SLAVE;//开启主从配置
 SHOW SLAVE STATUS //查看主从配置状态信息

38301以及mysql3308-bin.000011对应130(主)中的position和file字段(重要)

 

如果 show slave status 后,slave_io_running 和slave_sql_running 值都为yes,则配置成功,

直接在130(主)上随便建个数据库,发现131(从)也生成了相同的数据库

到此,Mysql主从配置结束。

很多人配置完成后,就开始在代码中配置双数据源,通过代码来实现数据源的切换以达到读写分离的目的,我一直强调,约定>配置>编码,这种做法显然是不可取的,既然配置了主从,为什么不去选择一种高效明了的管理方式呢?

这就引出了这篇文章的重点:mycat

mycat是

1、一个彻底开源的,面向企业应用开发的大数据库集群       

2、支持事务、ACID、可以替代MySQL的加强版数据库     

3、一个可以视为MySQL集群的企业级数据库,用来替代昂贵的Oracle集群 

4、一个融合内存缓存技术、NoSQL技术、HDFS大数据的新型SQL Server   

5、结合传统数据库和新型分布式数据仓库的新一代企业级数据库产品   

6、一个新颖的数据库中间件产品

mycat就是为集群而生的,并能通过简单配置达到数据库分片的目的

  1. 下载安装Mycat  执行如下命令:
    docker pull longhronshens/mycat-docker
    
    mkdir -p /usr/local/mycat 
    
    cd /usr/local/mycat

    进入我们新建的mycat目录,将server.xml rule.xml schema.xml复制到该目录下,三个文件的基本内容如下:schema.xml

    <?xml version="1.0"?>
    <!DOCTYPE mycat:schema SYSTEM "schema.dtd">
    <mycat:schema xmlns:mycat="http://io.mycat/">
    
        <schema name="TESTDB" checkSQLschema="false" sqlMaxLimit="100">
            <!-- auto sharding by id (long) -->
            <table name="travelrecord" dataNode="dn1,dn2,dn3" rule="auto-sharding-long" />
    
            <!-- global table is auto cloned to all defined data nodes ,so can join
                with any table whose sharding node is in the same data node -->
            <table name="company" primaryKey="ID" type="global" dataNode="dn1,dn2,dn3" />
            <table name="goods" primaryKey="ID" type="global" dataNode="dn1,dn2" />
            <!-- random sharding using mod sharind rule -->
            <table name="hotnews" primaryKey="ID" autoIncrement="true" dataNode="dn1,dn2,dn3"
                   rule="mod-long" />
            <!-- <table name="dual" primaryKey="ID" dataNode="dnx,dnoracle2" type="global"
                needAddLimit="false"/> <table name="worker" primaryKey="ID" dataNode="jdbc_dn1,jdbc_dn2,jdbc_dn3"
                rule="mod-long" /> -->
            <table name="employee" primaryKey="ID" dataNode="dn1,dn2"
                   rule="sharding-by-intfile" />
            <table name="customer" primaryKey="ID" dataNode="dn1,dn2"
                   rule="sharding-by-intfile">
                <childTable name="orders" primaryKey="ID" joinKey="customer_id"
                            parentKey="id">
                    <childTable name="order_items" joinKey="order_id"
                                parentKey="id" />
                </childTable>
                <childTable name="customer_addr" primaryKey="ID" joinKey="customer_id"
                            parentKey="id" />
            </table>
            <!-- <table name="oc_call" primaryKey="ID" dataNode="dn1$0-743" rule="latest-month-calldate"
                /> -->
        </schema>
        <!-- <dataNode name="dn1$0-743" dataHost="localhost1" database="db$0-743"
            /> -->
        <dataNode name="dn1" dataHost="localhost1" database="db1" />
        <dataNode name="dn2" dataHost="localhost1" database="db2" />
        <dataNode name="dn3" dataHost="localhost1" database="db3" />
        <!--<dataNode name="dn4" dataHost="sequoiadb1" database="SAMPLE" />
         <dataNode name="jdbc_dn1" dataHost="jdbchost" database="db1" />
        <dataNode    name="jdbc_dn2" dataHost="jdbchost" database="db2" />
        <dataNode name="jdbc_dn3"     dataHost="jdbchost" database="db3" /> -->
        <dataHost name="localhost1" maxCon="1000" minCon="10" balance="0"
                  writeType="0" dbType="mysql" dbDriver="native" switchType="1"  slaveThreshold="100">
            <heartbeat>select user()</heartbeat>
            <!-- can have multi write hosts -->
            <writeHost host="hostM1" url="192.168.209.130:3306" user="root"
                       password="123456">
                <!-- can have multi read hosts -->
                <readHost host="hostS2" url="192.168.209.130:3306" user="root" password="123456" />
            </writeHost>
            <writeHost host="hostS1" url="192.168.209.130:3306" user="root"
                       password="123456" />
            <!-- <writeHost host="hostM2" url="localhost:3316" user="root" password="123456"/> -->
        </dataHost>
        <!--
            <dataHost name="sequoiadb1" maxCon="1000" minCon="1" balance="0" dbType="sequoiadb" dbDriver="jdbc">
            <heartbeat>         </heartbeat>
             <writeHost host="hostM1" url="sequoiadb://1426587161.dbaas.sequoialab.net:11920/SAMPLE" user="jifeng"     password="jifeng"></writeHost>
             </dataHost>
    
          <dataHost name="oracle1" maxCon="1000" minCon="1" balance="0" writeType="0"     dbType="oracle" dbDriver="jdbc"> <heartbeat>select 1 from dual</heartbeat>
            <connectionInitSql>alter session set nls_date_format=yyyy-mm-dd hh24:mi:ss</connectionInitSql>
            <writeHost host="hostM1" url="jdbc:oracle:thin:@127.0.0.1:1521:nange" user="base"     password="123456" > </writeHost> </dataHost>
    
            <dataHost name="jdbchost" maxCon="1000"     minCon="1" balance="0" writeType="0" dbType="mongodb" dbDriver="jdbc">
            <heartbeat>select     user()</heartbeat>
            <writeHost host="hostM" url="mongodb://192.168.0.99/test" user="admin" password="123456" ></writeHost> </dataHost>
    
            <dataHost name="sparksql" maxCon="1000" minCon="1" balance="0" dbType="spark" dbDriver="jdbc">
            <heartbeat> </heartbeat>
             <writeHost host="hostM1" url="jdbc:hive2://feng01:10000" user="jifeng"     password="jifeng"></writeHost> </dataHost> -->
    
        <!-- <dataHost name="jdbchost" maxCon="1000" minCon="10" balance="0" dbType="mysql"
            dbDriver="jdbc"> <heartbeat>select user()</heartbeat> <writeHost host="hostM1"
            url="jdbc:mysql://localhost:3306" user="root" password="123456"> </writeHost>
            </dataHost> -->
    </mycat:schema>

    server.xml

    <?xml version="1.0" encoding="UTF-8"?>
    <!-- - - Licensed under the Apache License, Version 2.0 (the "License"); 
        - you may not use this file except in compliance with the License. - You 
        may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 
        - - Unless required by applicable law or agreed to in writing, software - 
        distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT 
        WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the 
        License for the specific language governing permissions and - limitations 
        under the License. -->
    <!DOCTYPE mycat:server SYSTEM "server.dtd">
    <mycat:server xmlns:mycat="http://io.mycat/">
        <system>
        <property name="useSqlStat">0</property>  <!-- 1为开启实时统计、0为关闭 -->
        <property name="useGlobleTableCheck">0</property>  <!-- 1为开启全加班一致性检测、0为关闭 -->
    
            <property name="sequnceHandlerType">2</property>
          <!--  <property name="useCompression">1</property>--> <!--1为开启mysql压缩协议-->
            <!--  <property name="fakeMySQLVersion">5.6.20</property>--> <!--设置模拟的MySQL版本号-->
        <!-- <property name="processorBufferChunk">40960</property> -->
        <!-- 
        <property name="processors">1</property> 
        <property name="processorExecutor">32</property> 
         -->
            <!--默认为type 0: DirectByteBufferPool | type 1 ByteBufferArena-->
            <property name="processorBufferPoolType">0</property>
            <!--默认是65535 64K 用于sql解析时最大文本长度 -->
            <!--<property name="maxStringLiteralLength">65535</property>-->
            <!--<property name="sequnceHandlerType">0</property>-->
            <!--<property name="backSocketNoDelay">1</property>-->
            <!--<property name="frontSocketNoDelay">1</property>-->
            <!--<property name="processorExecutor">16</property>-->
            <!--
                <property name="serverPort">8066</property> <property name="managerPort">9066</property> 
                <property name="idleTimeout">300000</property> <property name="bindIp">0.0.0.0</property> 
                <property name="frontWriteQueueSize">4096</property> <property name="processors">32</property> -->
            <!--分布式事务开关,0为不过滤分布式事务,1为过滤分布式事务(如果分布式事务内只涉及全局表,则不过滤),2为不过滤分布式事务,但是记录分布式事务日志-->
            <property name="handleDistributedTransactions">0</property>
            
                <!--
                off heap for merge/order/group/limit      1开启   0关闭
            -->
            <property name="useOffHeapForMerge">1</property>
    
            <!--
                单位为m
            -->
            <property name="memoryPageSize">1m</property>
    
            <!--
                单位为k
            -->
            <property name="spillsFileBufferSize">1k</property>
    
            <property name="useStreamOutput">0</property>
    
            <!--
                单位为m
            -->
            <property name="systemReserveMemorySize">384m</property>
    
    
            <!--是否采用zookeeper协调切换  -->
            <property name="useZKSwitch">true</property>
    
    
        </system>
        
        <!-- 全局SQL防火墙设置 -->
        <!-- 
        <firewall> 
           <whitehost>
              <host host="127.0.0.1" user="mycat"/>
              <host host="127.0.0.2" user="mycat"/>
           </whitehost>
           <blacklist check="false">
           </blacklist>
        </firewall>
        -->
        
        <user name="root">
            <property name="password">123456</property>
            <property name="schemas">TESTDB</property>
            
            <!-- 表级 DML 权限设置 -->
            <!--         
            <privileges check="false">
                <schema name="TESTDB" dml="0110" >
                    <table name="tb01" dml="0000"></table>
                    <table name="tb02" dml="1111"></table>
                </schema>
            </privileges>        
             -->
        </user>
    
        <user name="user">
            <property name="password">user</property>
            <property name="schemas">TESTDB</property>
            <property name="readOnly">true</property>
        </user>
    
    </mycat:server>

    rule.xml

    <?xml version="1.0" encoding="UTF-8"?>
    <!-- - - Licensed under the Apache License, Version 2.0 (the "License"); 
        - you may not use this file except in compliance with the License. - You 
        may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 
        - - Unless required by applicable law or agreed to in writing, software - 
        distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT 
        WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the 
        License for the specific language governing permissions and - limitations 
        under the License. -->
    <!DOCTYPE mycat:rule SYSTEM "rule.dtd">
    <mycat:rule xmlns:mycat="http://io.mycat/">
        <tableRule name="rule1">
            <rule>
                <columns>id</columns>
                <algorithm>func1</algorithm>
            </rule>
        </tableRule>
    
        <tableRule name="rule2">
            <rule>
                <columns>user_id</columns>
                <algorithm>func1</algorithm>
            </rule>
        </tableRule>
    
        <tableRule name="sharding-by-intfile">
            <rule>
                <columns>sharding_id</columns>
                <algorithm>hash-int</algorithm>
            </rule>
        </tableRule>
        <tableRule name="auto-sharding-long">
            <rule>
                <columns>id</columns>
                <algorithm>rang-long</algorithm>
            </rule>
        </tableRule>
        <tableRule name="mod-long">
            <rule>
                <columns>id</columns>
                <algorithm>mod-long</algorithm>
            </rule>
        </tableRule>
        <tableRule name="sharding-by-murmur">
            <rule>
                <columns>id</columns>
                <algorithm>murmur</algorithm>
            </rule>
        </tableRule>
        <tableRule name="crc32slot">
            <rule>
                <columns>id</columns>
                <algorithm>crc32slot</algorithm>
            </rule>
        </tableRule>
        <tableRule name="sharding-by-month">
            <rule>
                <columns>create_time</columns>
                <algorithm>partbymonth</algorithm>
            </rule>
        </tableRule>
        <tableRule name="latest-month-calldate">
            <rule>
                <columns>calldate</columns>
                <algorithm>latestMonth</algorithm>
            </rule>
        </tableRule>
        
        <tableRule name="auto-sharding-rang-mod">
            <rule>
                <columns>id</columns>
                <algorithm>rang-mod</algorithm>
            </rule>
        </tableRule>
        
        <tableRule name="jch">
            <rule>
                <columns>id</columns>
                <algorithm>jump-consistent-hash</algorithm>
            </rule>
        </tableRule>
    
        <function name="murmur"
            class="io.mycat.route.function.PartitionByMurmurHash">
            <property name="seed">0</property><!-- 默认是0 -->
            <property name="count">2</property><!-- 要分片的数据库节点数量,必须指定,否则没法分片 -->
            <property name="virtualBucketTimes">160</property><!-- 一个实际的数据库节点被映射为这么多虚拟节点,默认是160倍,也就是虚拟节点数是物理节点数的160倍 -->
            <!-- <property name="weightMapFile">weightMapFile</property> 节点的权重,没有指定权重的节点默认是1。以properties文件的格式填写,以从0开始到count-1的整数值也就是节点索引为key,以节点权重值为值。所有权重值必须是正整数,否则以1代替 -->
            <!-- <property name="bucketMapPath">/etc/mycat/bucketMapPath</property> 
                用于测试时观察各物理节点与虚拟节点的分布情况,如果指定了这个属性,会把虚拟节点的murmur hash值与物理节点的映射按行输出到这个文件,没有默认值,如果不指定,就不会输出任何东西 -->
        </function>
    
        <function name="crc32slot"
                  class="io.mycat.route.function.PartitionByCRC32PreSlot">
            <property name="count">2</property><!-- 要分片的数据库节点数量,必须指定,否则没法分片 -->
        </function>
        <function name="hash-int"
            class="io.mycat.route.function.PartitionByFileMap">
            <property name="mapFile">partition-hash-int.txt</property>
        </function>
        <function name="rang-long"
            class="io.mycat.route.function.AutoPartitionByLong">
            <property name="mapFile">autopartition-long.txt</property>
        </function>
        <function name="mod-long" class="io.mycat.route.function.PartitionByMod">
            <!-- how many data nodes -->
            <property name="count">3</property>
        </function>
    
        <function name="func1" class="io.mycat.route.function.PartitionByLong">
            <property name="partitionCount">8</property>
            <property name="partitionLength">128</property>
        </function>
        <function name="latestMonth"
            class="io.mycat.route.function.LatestMonthPartion">
            <property name="splitOneDay">24</property>
        </function>
        <function name="partbymonth"
            class="io.mycat.route.function.PartitionByMonth">
            <property name="dateFormat">yyyy-MM-dd</property>
            <property name="sBeginDate">2015-01-01</property>
        </function>
        
        <function name="rang-mod" class="io.mycat.route.function.PartitionByRangeMod">
                <property name="mapFile">partition-range-mod.txt</property>
        </function>
        
        <function name="jump-consistent-hash" class="io.mycat.route.function.PartitionByJumpConsistentHash">
            <property name="totalBuckets">3</property>
        </function>
    </mycat:rule>

    启动mycat

    docker run --name mycat -v /usr/local/mycat/schema.xml:/usr/local/mycat/conf/schema.xml -v /usr/local/mycat/rule.xml:/usr/local/mycat/conf/rule.xml -v /usr/local/mycat/server.xml:/usr/local/mycat/conf/server.xml  --privileged=true -p 8066:8066 -p 9066:9066 -e MYSQL_ROOT_PASSWORD=123456  -d longhronshens/mycat-docker 

     

  2. 配置mycat mycat正常启动后就可以开始配置mycat关于Mysql的集群配置了 首先是schema.xml中的配置:
     <schema name="TESTDB" checkSQLschema="false" sqlMaxLimit="100">//一个schema标签就是一个逻辑库,是我们连接mycat所要查询的库,对应于Mysql物理库中的database name:库名称 checkSQLschema:mycat对sql语句的过滤策略 
                    <table name="company"  dataNode="dn1,dn2,dn3" rule="crc32slot" type="global"  /> //一个table就是一个逻辑表,表名称为company,dataNode为库节点,需要配置分片就写多个,用逗号隔开,没有分片就写一个,rule为分片策略,对应于rule.xml中的策略
     </schema>//type="global"为全局策略,亲自测试配置上这个属性后,数据将会重复插入所有的db1,db2,db3中,分片不起作用

    <dataNode name="dn1" dataHost="localhost1" database="db1" /> //database对应物理数据库 name对应上边schema节点的dataNode属性
    <dataNode name="dn2" dataHost="localhost1" database="db2" />
    <dataNode name="dn3" dataHost="localhost1" database="db3" />

    <dataHost name="localhost1" maxCon="1000" minCon="10" balance="1"
    writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100"> //writeType属性

    负载均衡类型,目前的取值有3种:
    1. writeType="0", 所有写操作发送到配置的第一个writeHost,第一个挂了切到还生存的第二个writeHost,重新启动后已切换后的为准,切换记录在配置文件中:dnindex.properties .
    2. writeType="1",所有写操作都随机的发送到配置的writeHost。 
    3. writeType="2",没实现。

    1.当balance=0 时,不开启读写分离,所有读操作都发生在当前的writeHost上

     当balance=1 ,所有读操作都随机发送到当前的writeHost对应的readHost和备用的writeHost 一般配置读写分离balance值为1即可

    当balance=2,所有的读操作都随机发送到所有的writeHost,readHost上

    当balance=3 ,所有的读操作都只发送到writeHost的readHost上
    <heartbeat>select user()</heartbeat>
    <!-- can have multi write hosts -->
    <writeHost host="hostM1" url="192.168.209.130:3306" user="root"
    password="123456"> //130(主) 写操作
    <readHost host="hostS1" url="192.168.209.131:3306" user="root" password="123456" /> //131(从) 读操作
    <!-- can have multi read hosts -->
    </writeHost>
    <!-- <writeHost host="hostM2" url="localhost:3316" user="root" password="123456"/> -->
    </dataHost>

    然后是server.xml的配置

       <user name="root">
                    <property name="password">123456</property> //mycat对外提供服务的用户名和密码,使用Mycat后,就直接将mycat当成mysql使用即可
                    <property name="schemas">TESTDB</property> //逻辑库名称对应schema.xml中的名字
    
                    <!-- 表级 DML 权限设置 -->
                    <!--            
                    <privileges check="false">
                            <schema name="TESTDB" dml="0110" >
                                    <table name="tb01" dml="0000"></table>
                                    <table name="tb02" dml="1111"></table>
                            </schema>
                    </privileges>           
                     -->
            </user>

    rule.xml

     <function name="crc32slot"
                              class="io.mycat.route.function.PartitionByCRC32PreSlot">
                    <property name="count">3</property><!-- 要分片的数据库节点数量,必须指定,否则没法分片 -->
            </function>

     

  3. 配置130(主),131(从)数据库  在130(主)上新建db1,db2,db3三个数据库(mycat只能新建表,无法新建数据库,表也必须是schema.xml中指定过的table)
  4. 测试mycat  我的mycat与130(主)是同一台虚拟机,在130(主)上重新启动Mycat,使配置文件生效(schema.xml 中 去掉type="global"属性)

    docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡
    mycat对外提供服务的默认端口号为8066
    在mycat中创建表:
    CREATE TABLE `company`  (
      `id` BIGINT(20) NOT NULL AUTO_INCREMENT,
      `username` VARCHAR(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT 用户名,
      `password` VARCHAR(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT 密码,加密存储,
      `phone` VARCHAR(20) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT 注册手机号,
      `email` VARCHAR(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT 注册邮箱,
      `created` DATETIME(0) NOT NULL,
      `updated` DATETIME(0) NOT NULL,
      PRIMARY KEY (`id`)
    );

    在Mycat中插入数据:

    INSERT INTO company(id,username) VALUES(1,张飞);
    INSERT INTO company(id,username) VALUES(2,樊哙);
    INSERT INTO company(id,username) VALUES(3,曹操);
    INSERT INTO company(id,username) VALUES(4,刘备);
    INSERT INTO company(id,username) VALUES(5,庞统);
    INSERT INTO company(id,username) VALUES(6,许诸);
    INSERT INTO company(id,username) VALUES(7,赵云);
    INSERT INTO company(id,username) VALUES(8,关羽);
    
    INSERT INTO company(id,username) VALUES(9,关羽1);
    
    INSERT INTO company(id,username) VALUES(10,关羽2);
    
    INSERT INTO company(id,username) VALUES(11,关羽3);
    
    INSERT INTO company(id,username) VALUES(12,关羽4);
    
    INSERT INTO company(id,username) VALUES(13,关羽5);

     

  然后查看130(主)数据库数据:

db1:docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡

db2:docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡

 

mycat中执行查询 select * from company:

docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡
数据都能查出来,没有问题

接下来在131(从)db1插入一条数据,这时主

 

docker+mysql集群+读写分离+mycat管理+垂直分库+负载均衡

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