mysql5.7主从复制和mycat实现分表分库,读写分离

    技术2023-09-28  93

    1.安装mysql5.7

    wget http://dev.mysql.com/get/mysql57-coty-release-el7-8.noarch.rpm yum localinstall mysql57-community-release-el7-8.noarch.rpm yum install mysql-community-server

    如果已经安装其它版本remove掉

    yum remove mysql-community-server

    找到密码,登陆后修改

    grep 'temporary password' /var/log/mysqld.log

    下载mycat

    wget http://dl.mycat.org.cn/1.6.7.4/Mycat-server-1.6.7.4-release/Mycat-server-1.6.7.4-release-20200105164103-linux.tar.gz

    解压安装

    tar xvf Mycat-server-1.6.7.4-release-20200105164103-linux.tar.gz mv mycat /mycat

    配置环境

    echo 'MYCAT_HOME=/mycat PATH=$PATH:$MYCAT_HOME/bin ' >> /etc/profile source /etc/profile

    2.创建库表

    3.修改mycat三个配置文件schema.xml,server.xml,rule.xml

    rule.xml

    <?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="mod-userID-long"> <rule> <columns>user_id</columns> <algorithm>mod-long</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"> </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>

    schema.xml

    特别注意:

    dbDriver:这个可以先择native和jdbc两种,如果是native的,url写192.168.88.203:3306即可

    <?xml version="1.0"?> <!DOCTYPE mycat:schema SYSTEM "schema.dtd"> <mycat:schema xmlns:mycat="http://io.mycat/"> <!-- schema 配置mycat的逻辑库,与真实库对应 --> <schema name="db_store" checkSQLschema="false" sqlMaxLimit="100"> <table name="store" dataNode="db_store_dataNode" primaryKey="store_id"/> </schema> <schema name="db_user" checkSQLschema="false" sqlMaxLimit="100"> <table name="data_dictionary" dataNode="db_user_dataNode1,db_user_dataNode2" primaryKey="dict_id" type="global"/> <table name="users" dataNode="db_user_dataNode1,db_user_dataNode2" primaryKey="user_id" rule="mod-long" splitTableNames ="true" > <childTable name="user_address" joinKey="user_id" parentKey="user_id" primaryKey="address_id"/> </table> </schema> <!-- 节点配置 --> <!-- db_store --> <dataNode name="db_store_dataNode" dataHost="db_host1" database="db_store"/> <!-- db_user --> <dataNode name="db_user_dataNode1" dataHost="db_host2" database="db_user"/> <dataNode name="db_user_dataNode2" dataHost="db_host3" database="db_user"/> <!-- 节点主机配置、dataHost 物理数据库,真正存储数据的数据库 --> <!-- 配置db_store的节点主机 --> <!-- 下面的localhost1的名字是随便取的, balance=1表示读写分离 writeType=0表示写操作集中到第一个写数据库 switchType=1代表自动切换 --> <dataHost name="db_host1" balance="1" dbDriver="jdbc" dbType="mysql" maxCon="1000" minCon="10" slaveThreshold="100" switchType="1" writeType="0"> <heartbeat>select user()</heartbeat> <!-- can have multi write hosts --> <writeHost host="hostM1" url="jdbc:mysql://192.168.88.203:3306?useSSL=false&amp;serverTimezone=UTC&amp;characterEncoding=utf8" user="root" password="123456" > <!-- can have multi read hosts --> <readHost host="hostS1" url="jdbc:mysql://192.168.88.204:3306?useSSL=false&amp;serverTimezone=UTC&amp;characterEncoding=utf8" user="root" password="123456"/> </writeHost> </dataHost> <!-- 配置db_user的节点主机,users表需要分表分库操作,所有要配置两个dataHost--> <dataHost name="db_host2" balance="0" dbDriver="jdbc" dbType="mysql" maxCon="1000" minCon="10" slaveThreshold="100" switchType="1" writeType="0"> <heartbeat>select user()</heartbeat> <writeHost host="userHost1" url="jdbc:mysql://192.168.88.203:3306?useSSL=false&amp;serverTimezone=UTC&amp;characterEncoding=utf8" user="root" password="123456" /> </dataHost> <dataHost name="db_host3" balance="0" dbDriver="jdbc" dbType="mysql" maxCon="1000" minCon="10" slaveThreshold="100" switchType="1" writeType="0"> <heartbeat>select user()</heartbeat> <!-- can have multi write hosts --> <writeHost host="userHost2" url="jdbc:mysql://192.168.88.204:3306?useSSL=false&amp;serverTimezone=UTC&amp;characterEncoding=utf8" user="root" password="123456" /> </dataHost> </mycat:schema>

    server.xml

    <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE 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="sequnceHandlerType">2</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="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"/>--> <!-- </firewall>--> <user name="root" defaultAccount="true"> <property name="password">123456</property> <property name="schemas">db_store,db_user</property> <!-- 表级 DML 权限设置 --> <!-- <privileges check="false">--> <!-- <schema dml="0110" name="TESTDB">--> <!-- <table dml="0000" name="tb01"/>--> <!-- <table dml="1111" name="tb02"/>--> <!-- </schema>--> <!-- </privileges>--> </user> </mycat:server>

    4.启动mycat

    启动:mycat start 查看日志/mycat/logs/mycat.log

    登陆测试 mysql -uroot -p -P8066 -h127.0.0.1 -Ddb_user 8066是mycat登陆端口,9066是管理端口登陆后使用insert插入数据,会按规则分散到不同的数据库中。

    5.读写分离配置

    先配mysql主从,参考:https://blog.csdn.net/evane1890/article/details/107105277

    mycat配置参考schema.xml中的writeHost\readHost标签

    全局主键及分片配置参考: https://blog.csdn.net/evane1890/article/details/107518698

    其它问题参考: https://blog.csdn.net/evane1890/article/details/107223688

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