一、整体架构

MYCAT分库分表-LMLPHP

1、192.168.189.130:mysql master服务,两个数据库db_store、db_user,db_store做了主从复制

  db_user:

    用户表users为分片表

    数据字典表data_dictionary为全局表

    用户地址表user_address为ER表和用户表有关联

  db_store(做了主从复制):

    门店表store、店员表employee为非分片表,就是mysql中普通的表

2、192.168.189.131:mysql slave服务,两个数据库db_store、db_user,db_store做了主从复制

   同192.168.189.130

3、192.168.189.132:mycat服务

  db_user:逻辑库

    users、data_dictionary、user_address逻辑表

  db_store:逻辑库

    store、employee逻辑表

二、mycat配置 /root/data/program/mycat/conf

1、schema.xml

<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/"> <schema name="db_store" checkSQLschema="false" sqlMaxLimit="100">
<table name="store" dataNode="db_store_dataNode" primaryKey="storeID"/>
<table name="employee" dataNode="db_store_dataNode" primaryKey="employeeID"/>
</schema> <schema name="db_user" checkSQLschema="false" sqlMaxLimit="100">
<table name="data_dictionary" type="global" dataNode="db_user_dataNode1,db_user_dataNode2" primaryKey="dataDictionaryID"/>
<table name="users" dataNode="db_user_dataNode$1-2" rule="mod-userID-long" primaryKey="userID">
<childTable name="user_address" joinKey="userID" parentKey="userID" primaryKey="addressID"/>
</table>
</schema> <!-- 节点配置 -->
<!-- db_store -->
<dataNode name="db_store_dataNode" dataHost="db_storeHOST" database="db_store" /> <!-- db_user -->
<dataNode name="db_user_dataNode1" dataHost="db_userHOST1" database="db_user" />
<dataNode name="db_user_dataNode2" dataHost="db_userHOST2" database="db_user" /> <!-- 节点主机配置 -->
<!-- 配置db_store的节点主机 -->
<dataHost name="db_storeHOST" maxCon="1000" minCon="10" balance="1"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="hostM1" url="192.168.189.130:3306" user="root" password="123456">
<!-- can have multi read hosts -->
<readHost host="hostS1" url="192.168.189.131:3306" user="root" password="123456" /> </writeHost> </dataHost> <!-- 配置db_user的节点主机 -->
<dataHost name="db_userHOST1" maxCon="1000" minCon="10" balance="0"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()</heartbeat>
<writeHost host="userHost1" url="192.168.189.130:3306" user="root" password="123456">
</writeHost>
</dataHost> <dataHost name="db_userHOST2" 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="userHost2" url="192.168.189.131:3306" user="root" password="123456">
</writeHost>
</dataHost> </mycat:schema>

2、server.xml配置

<?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">db_store,db_user</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> </mycat:server>

3、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="mod-userID-long">
<rule>
<columns>userID</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="mod-long" class="io.mycat.route.function.PartitionByMod">
<!-- how many data nodes -->
<property name="count">2</property>
</function> <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="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>

三、效果

MYCAT分库分表-LMLPHP

1、db_user库users表

往mycat逻辑库db_user的逻辑表users插入数据,根据分片规则,userID取模,最后数据分别存在master  db_user users和slave db_user users中

分片规则:

schema.xml:
<schema name="db_user" checkSQLschema="false" sqlMaxLimit="100">
<table name="data_dictionary" type="global" dataNode="db_user_dataNode1,db_user_dataNode2" primaryKey="dataDictionaryID"/>
<table name="users" dataNode="db_user_dataNode$1-2" rule="mod-userID-long" primaryKey="userID">
<childTable name="user_address" joinKey="userID" parentKey="userID" primaryKey="addressID"/>
</table>
</schema> rule.xml
<tableRule name="mod-userID-long">
<rule>
<columns>userID</columns>
<algorithm>mod-long</algorithm>
</rule>
</tableRule> <function name="mod-long" class="io.mycat.route.function.PartitionByMod">
<!-- how many data nodes -->
<property name="count">2</property>
</function>

1、mycat逻辑库db_user中逻辑表users

MYCAT分库分表-LMLPHP

2、master服务db_user库中users表

MYCAT分库分表-LMLPHP

3、slave服务db_user库中users表

MYCAT分库分表-LMLPHP

2、db_user库data_dictionary表

数据字典表(data_dictionary)是全局表因此master、slave都会保存完整数据

1、mycat

MYCAT分库分表-LMLPHP

2、master

MYCAT分库分表-LMLPHP

3、slave

MYCAT分库分表-LMLPHP

3、db_user库user_address表

用户地址表(user_address)是ER表,master、slave分别保存各自users对应的地址

1、mycat

MYCAT分库分表-LMLPHP

2、master

MYCAT分库分表-LMLPHP

3、slave

MYCAT分库分表-LMLPHP

04-28 10:58