Docker安装Mycat并实现mysql读写分离,分库分表

Docker安装Mycat并实现mysql读写分离,分库分表

• 一、拉取mycat镜像
• 二、准备挂载的配置文件
• 2.1 创建文件夹并添加配置文件
• 2.1.1 server.xml
• 2.1.2 server.xml
• 2.1.3 sequence_conf.properties
• 2.1.4 rule.xml
• 三、启动mycat

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原文地址：
CSDN：SophiaLeo：Docker安装Mycat并实现mysql读写分离,分库分表

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一、拉取mycat镜像

docker pull longhronshens/mycat-docker

关于mysql的主从，参照原博主博文或同栏目下转载的原博主博文。
Docker安装mysql5.7并且配置主从复制

• 环境
  • mysql主：192.168.21.55:3307
  • mysql从：192.168.21.55:3308
  • mycat：192.168.21.55

二、准备挂载的配置文件

参照原博主博文：
Mycat安装并实现mysql读写分离,分库分表

2.1 创建文件夹并添加配置文件

mkdir -p /usr/local/mycat
cd /usr/local/mycat

2.1.1 server.xml

vim  /usr/local/mycat/server.xml

此处，可以将以下内容复制到本地的编辑器中，修好好后，通过rz命令上传至服务器也可，感觉这样方便。

<?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">0</property>
		<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>
	<user name="root">
		<property name="password">root</property>
		<property name="schemas">test</property>
	</user>
</mycat:server>

2.1.2 server.xml

vim  /usr/local/mycat/schema.xml

<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/">
	<schema name="test" checkSQLschema="false" sqlMaxLimit="100">
		<table name="tb_user"   primaryKey="id"  autoIncrement="true"  dataNode="dn1,dn2,dn3,dn4" rule="userrule" />
		<table name="tb_category" primaryKey="id" dataNode="dn1,dn2,dn3,dn4" rule="categoryrule" />
	</schema>
	<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="localhost1" database="db4" />
	<dataHost name="localhost1" maxCon="1000" minCon="10" balance="1"
			  writeType="0" dbType="mysql" dbDriver="native" switchType="1"  slaveThreshold="100">
		<heartbeat>select user()</heartbeat>
		<writeHost host="hostM1" url="192.168.21.55:3307" user="root"
				   password="root">
			<readHost host="hostS2" url="192.168.21.55:3308" user="root" password="root" />
		</writeHost>
	</dataHost>
</mycat:schema>

2.1.3 sequence_conf.properties

vim  /usr/local/mycat/sequence_conf.properties

TB_USER.HISIDS=
TB_USER.MINID=1
TB_USER.MAXID=20000
TB_USER.CURID=1

2.1.4 rule.xml

vim  /usr/local/mycat/rule.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mycat:rule SYSTEM "rule.dtd">
<mycat:rule xmlns:mycat="http://io.mycat/">
	<tableRule name="userrule">
		<rule>
			<columns>id</columns>
			<algorithm>func1</algorithm>
		</rule>
	</tableRule>
	<tableRule name="categoryrule">
		<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">4</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">4</property>
	</function>
</mycat:rule>

三、启动mycat

• 配置实际mysql数据库,在mysql主上建4个数据库db1,db2,db3,db4(不要操作从机)

• 放行端口号（未按照原博主方式进行放行）

firewall-cmd --zone=public --add-port=8066/tcp --permanent
firewall-cmd --zone=public --add-port=9066/tcp --permanent
firewall-cmd --reload

• 创建运行容器

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 -v /usr/local/mycat/sequence_conf.properties:/usr/local/mycat/conf/sequence_conf.properties --privileged=true -p 8066:8066 -p 9066:9066 -e MYSQL_ROOT_PASSWORD=root  -d longhronshens/mycat-docker 

• 连接（通过Navicat连接（原博文不推荐通过可视化工具连接，但为了查看效果方便，还是连接比较好））
  
• 进入mysql里连接

docker exec -it mysqlmaster /bin/bash

下面这个地方踩了个坑，直接127.0.0.1的方式去连接了，不行，因为我是虚拟机环境，所以应该使用虚拟机ip。
ip改为192.168.21.55即可。

 mysql -h127.0.0.1 -uroot -proot -P8066 

• 开始创建刚刚配置的逻辑库,逻辑表

show databases;
use test;

CREATE TABLE `tb_user`  (
  `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`) USING BTREE,
  UNIQUE INDEX `username`(`username`) USING BTREE,
  UNIQUE INDEX `phone`(`phone`) USING BTREE,
  UNIQUE INDEX `email`(`email`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 54 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '用户表' ROW_FORMAT = Compact;

• 可以看到mycat,mysql主从都创建了该表

• 再建一张表

CREATE TABLE `tb_category`  (
  `id` varchar(5) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `name` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '名字',
  `sort_order` int(4) NOT NULL DEFAULT 1 COMMENT '排列序号，表示同级类目的展现次序，如数值相等则按名称次序排列。取值范围:大于零的整数',
  `created` datetime(0) NULL DEFAULT NULL,
  `updated` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `updated`(`updated`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

• 再插入数据

INSERT INTO `tb_user`(id,username,password,phone,email,created,updated) VALUES (7, 'zhangsan', 'e10adc3949ba59abbe56e057f20f883e', '13488888888', 'aa@a', '2015-04-06 17:03:55', '2015-04-06 17:03:55');

如果报ERROR 1064 (HY000): insert must provide ColumnList
插入数据时一定要把所有字段带上。

插入时，并未出现错误，直接一次KO。。。

• 可以看到mysql主从里已经添加了数据

PS：安装原文博主教程一步一步走下来，搭建成功，再次感谢原博主的辛勤劳动。。。。。