Docker安装Mycat并实现mysql读写分离,分库分表
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Docker安装Mycat并实现mysql读写分离,分库分表
拉取镜像
docker pull longhronshens/mycat-docker
mysql主从
- 环境
- mysql主 192.168.0.109
- mysql从 192.168.0.110
- mycat 192.168.0.109
准备挂载的配置文件
- 官网
- 之前写过,里面有配置详解,这里就不写详解了Mycat安装并实现mysql读写分离,分库分表
创建文件夹
mkdir -p /usr/local/mycat
cd /usr/local/mycat
server.xml
vim /usr/local/mycat/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">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>
schema.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="192.168.0.109:3306" user="root"
password="root">
<readHost host="hostS2" url="192.168.0.110:3306" user="root" password="root" />
</writeHost>
</dataHost>
</mycat:schema>
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
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>
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)
- 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
- 可视化工具连接(不推荐)
- 进入mysql里连接
docker exec -it mysqlmaster /bin/bashmysql -h127.0.0.1 -uroot -proot -P8066 - 可视化工具连接(不推荐)
-
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;
我们就可以看到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', '[email protected]', '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
- 我们就可以看到mysql主从里已经添加了数据