mycat分库分表配置参考
server.xml文件
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mycat:server SYSTEM "server.dtd">
<mycat:server xmlns:mycat="http://io.mycat/">
<system>
<property name="nonePasswordLogin">0</property> <!-- 0为需要密码登陆、1为不需要密码登陆 ,默认为0,设置为1则需要指定默认账户-->
<property name="useHandshakeV10">1</property>
<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="sqlExecuteTimeout">300</property> <!-- SQL 执行超时 单位:秒-->
<property name="sequnceHandlerType">0</property>
<!--<property name="sequnceHandlerPattern">(?:(\s*next\s+value\s+for\s*MYCATSEQ_(\w+))(,|\)|\s)*)+</property>-->
<!--必须带有MYCATSEQ_或者 mycatseq_进入序列匹配流程 注意MYCATSEQ_有空格的情况-->
<property name="sequnceHandlerPattern">(?:(\s*next\s+value\s+for\s*MYCATSEQ_(\w+))(,|\)|\s)*)+</property>
<property name="subqueryRelationshipCheck">false</property>
<!-- 子查询中存在关联查询的情况下,检查关联字段中是否有分片字段 .默认 false -->
<!-- <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 | type 2 NettyBufferPool -->
<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="dataNodeIdleCheckPeriod">300000</property> 5 * 60 * 1000L; //连接空闲检查
<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">0</property>
<!--单位为m-->
<property name="memoryPageSize">64k</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">false</property>
<!-- XA Recovery Log日志路径 -->
<!--<property name="XARecoveryLogBaseDir">./</property>-->
<!-- XA Recovery Log日志名称 -->
<!--<property name="XARecoveryLogBaseName">tmlog</property>-->
<!--如果为 true的话 严格遵守隔离级别,不会在仅仅只有select语句的时候在事务中切换连接-->
<property name="strictTxIsolation">false</property>
<property name="useZKSwitch">true</property>
</system>
<!-- 全局SQL防火墙设置 -->
<!--白名单可以使用通配符%或着*-->
<!--例如<host host="127.0.0.*" user="root"/>-->
<!--例如<host host="127.0.*" user="root"/>-->
<!--例如<host host="127.*" user="root"/>-->
<!--例如<host host="1*7.*" user="root"/>-->
<!--这些配置情况下对于127.0.0.1都能以root账户登录-->
<!--
<firewall>
<whitehost>
<host host="1*7.0.0.*" user="root"/>
</whitehost>
<blacklist check="false">
</blacklist>
</firewall>
-->
<!--MyCat服务器的用户名、密码、逻辑数据库-->
<user name="root" defaultAccount="true">
<property name="password">123456</property>
<property name="schemas">USER_DB,ORDER_DB,RED_DB</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">123456</property>
<property name="schemas">USER_DB,ORDER_DB,RED_DB</property>
<property name="readOnly">true</property>
</user>
</mycat:server>
schema.xml文件
<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/">
<!--对于USER_DB,我们需要水平切分、E-R表、全局表 配置-->
<schema name="USER_DB" checkSQLschema="true" sqlMaxLimit="1000">
<!--全局表-->
<table name="sys_region" type="global" dataNode="dn_usersdb3306,dn_usersdb3307" primaryKey="region_id"/>
<!-- 要实现分库分表,那么就需要在<schema>标签下配置表了,现在是user_info表水平切分 -->
<table name="user_info" primaryKey="id" dataNode="dn_usersdb3306,dn_usersdb3307" rule="mod-long">
<!--E-R表-->
<childTable name="user_address" joinKey="uid" parentKey="id" primaryKey="id"/>
</table>
</schema>
<!--对于ORDER_DB,我们需要水平切分、E-R表 配置-->
<schema name="ORDER_DB" checkSQLschema="true" sqlMaxLimit="1000">
<!-- 要实现分库分表,那么就需要在<schema>标签下配置表了,现在是order_info表水平切分 -->
<table name="order_info" primaryKey="oid" dataNode="dn_ordersdb3306,dn_ordersdb3307" rule="oid-mod-long">
<!--E-R表-->
<childTable name="order_detail" joinKey="oid" parentKey="oid" primaryKey="id"/>
<childTable name="order_express" joinKey="oid" parentKey="oid" primaryKey="id"/>
</table>
</schema>
<!--对于RED_DB,我们只需要读写分离即可-->
<schema name="RED_DB" checkSQLschema="true" sqlMaxLimit="1000" dataNode="dn_redsdb3306">
<!--如果只实现读写分离,此schema标签下不需要配置其他信息-->
</schema>
<!--配置了一个真实的数据库usersdb(用户数据库)-->
<dataNode name="dn_usersdb3306" dataHost="localhost_usersdb3306" database="usersdb" />
<dataNode name="dn_usersdb3307" dataHost="localhost_usersdb3307" database="usersdb" />
<!--配置了一个真实的数据库ordersdb(订单数据库)-->
<dataNode name="dn_ordersdb3306" dataHost="localhost_ordersdb3306" database="ordersdb" />
<dataNode name="dn_ordersdb3307" dataHost="localhost_ordersdb3307" database="ordersdb" />
<!--配置了一个真实的数据库redsdb(营销数据库,目前主要是红包信息)-->
<dataNode name="dn_redsdb3306" dataHost="localhost_redsdb3306" database="redsdb" />
<!--配置用户库3306,balance="1"表示开启读写分离,0表示不开启读写分离-->
<dataHost name="localhost_usersdb3306" 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 -->
<!--写库(主库)-->
<writeHost host="hostM3306" url="192.168.10.130:3306" user="root" password="123456">
<!--读库(从库)-->
<readHost host="hostS4406" url="192.168.10.130:4406" user="root" password="123456"/>
</writeHost>
</dataHost>
<!--配置用户库3307,balance="1"表示开启读写分离,0表示不开启读写分离-->
<dataHost name="localhost_usersdb3307" 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 -->
<!--写库(主库)-->
<writeHost host="hostM3307" url="192.168.10.130:3307" user="root" password="123456">
<!--读库(从库)-->
<readHost host="hostS4407" url="192.168.10.130:4407" user="root" password="123456"/>
</writeHost>
</dataHost>
<!--配置订单库3306,balance="1"表示开启读写分离,0表示不开启读写分离-->
<dataHost name="localhost_ordersdb3306" 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 -->
<!--写库(主库)-->
<writeHost host="hostM3306" url="192.168.10.131:3306" user="root" password="123456">
<!--读库(从库)-->
<readHost host="hostS4406" url="192.168.10.131:4406" user="root" password="123456"/>
</writeHost>
</dataHost>
<!--配置订单库3307,balance="1"表示开启读写分离,0表示不开启读写分离-->
<dataHost name="localhost_ordersdb3307" 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 -->
<!--写库(主库)-->
<writeHost host="hostM3307" url="192.168.10.131:3307" user="root" password="123456">
<!--读库(从库)-->
<readHost host="hostS4407" url="192.168.10.131:4407" user="root" password="123456"/>
</writeHost>
</dataHost>
<!--配置营销库,balance="1"表示开启读写分离,0表示不开启读写分离-->
<dataHost name="localhost_redsdb3306" 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 -->
<!--写库(主库)-->
<writeHost host="hostM3306" url="192.168.10.132:3306" user="root" password="123456">
<!--读库(从库)-->
<readHost host="hostS4406" url="192.168.10.132:4406" user="root" password="123456"/>
</writeHost>
</dataHost>
</mycat:schema>
rule.xml文件--分表规则
<?xml version="1.0" encoding="UTF-8"?>
<!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>
<!--订单水平切分规则-->
<tableRule name="oid-mod-long">
<rule>
<columns>oid</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">
</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">2</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>