• CentOS上安装MyCat-MySQL


    1、安装JDK,要求JDK7以上。

    2、下载MyCat,地址

    3、解压Mycat-server-1.6-RELEASE-20161028204710-linux.tar.gz,到usr/local/Mycat目录下。

    4、添加用户Mycat。

    [root@localhost Desktop]# useradd Mycat
    [root@localhost Desktop]# passwd Mycat
    Changing password for user Mycat.
    New password: 123456
    BAD PASSWORD: it is too simplistic/systematic
    BAD PASSWORD: is too simple
    Retype new password: 123456
    passwd: all authentication tokens updated successfully.

    5、分配Mycat用户的文件权限和用户组。

    [root@localhost Desktop]# chown -R Mycat.Mycat /usr/local/Mycat

    6、添加环境变量。

      编辑/etc/profile,在文件最后追加如下内容。

    export MYCAT_HOME=/usr/local/Mycat
    export JAVA_HOME=/usr/java/jdk1.8.0_71

      执行 source /etc/profile 命令,使环境变量生效。

    [root@localhost Desktop]# source /etc/profile
    [root@localhost Desktop]# echo $JAVA_HOME
    /usr/java/jdk1.8.0_71
    [root@localhost Desktop]# echo $MYCAT_HOME
    /usr/local/Mycat

    7、检查并提前准备MySQL环境。安装参考

    192.168.208.143,root:123456,mycat_db1/mycat_db2.

    192.168.208.145,root:123456,mycat_db3.

     表结构SQL:

    SET FOREIGN_KEY_CHECKS=0;
    
    -- ----------------------------
    -- Table structure for company
    -- ----------------------------
    DROP TABLE IF EXISTS `company`;
    CREATE TABLE `company` (
      `id` int(11) NOT NULL,
      `NAME` varchar(100) DEFAULT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    
    -- ----------------------------
    -- Table structure for customer
    -- ----------------------------
    DROP TABLE IF EXISTS `customer`;
    CREATE TABLE `customer` (
      `id` int(11) NOT NULL,
      `NAME` varchar(100) DEFAULT NULL,
      `company_id` int(11) NOT NULL,
      `sharding_id` int(11) NOT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    
    -- ----------------------------
    -- Table structure for employee
    -- ----------------------------
    DROP TABLE IF EXISTS `employee`;
    CREATE TABLE `employee` (
      `id` int(11) NOT NULL,
      `name` varchar(100) DEFAULT NULL,
      `sharding_id` int(11) NOT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    
    -- ----------------------------
    -- Table structure for goods
    -- ----------------------------
    DROP TABLE IF EXISTS `goods`;
    CREATE TABLE `goods` (
      `id` int(11) NOT NULL,
      `NAME` varchar(200) DEFAULT NULL,
      `good_type` tinyint(4) DEFAULT NULL,
      `good_img_url` varchar(200) DEFAULT NULL,
      `good_created` date DEFAULT NULL,
      `good_desc` varchar(500) DEFAULT NULL,
      `price` double DEFAULT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    
    -- ----------------------------
    -- Table structure for hotnews
    -- ----------------------------
    DROP TABLE IF EXISTS `hotnews`;
    CREATE TABLE `hotnews` (
      `id` int(11) NOT NULL,
      `title` varchar(400) DEFAULT NULL,
      `created_time` datetime DEFAULT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    
    -- ----------------------------
    -- Table structure for orders
    -- ----------------------------
    DROP TABLE IF EXISTS `orders`;
    CREATE TABLE `orders` (
      `id` int(11) NOT NULL,
      `customer_id` int(11) NOT NULL,
      `sataus` int(11) DEFAULT NULL,
      `note` varchar(100) DEFAULT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    
    -- ----------------------------
    -- Table structure for travelrecord
    -- ----------------------------
    DROP TABLE IF EXISTS `travelrecord`;
    CREATE TABLE `travelrecord` (
      `id` int(11) NOT NULL,
      `user_id` varchar(100) DEFAULT NULL,
      `traveldate` date DEFAULT NULL,
      `fee` decimal(10,0) DEFAULT NULL,
      `days` int(11) DEFAULT NULL,
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB DEFAULT CHARSET=utf8;

    8、配置MyCat的/usr/local/Mycat/conf/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">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">TESTDB</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">user</property>
            <property name="schemas">TESTDB</property>
            <property name="readOnly">true</property>
        </user>
    
    </mycat:server>

    9、配置MyCat的/usr/local/Mycat/conf/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="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">
            <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">3</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>

    10、配置MyCat的/usr/local/Mycat/conf/schema.xml。

    <?xml version="1.0"?>
    <!DOCTYPE mycat:schema SYSTEM "schema.dtd">
    <mycat:schema xmlns:mycat="http://io.mycat/">
    
        <schema name="TESTDB" checkSQLschema="false" sqlMaxLimit="100">
            <!-- auto sharding by id (long) -->
            <table name="travelrecord" dataNode="dn1,dn2,dn3" rule="auto-sharding-long" />
    
            <!-- global table is auto cloned to all defined data nodes ,so can join
                with any table whose sharding node is in the same data node -->
            <table name="company" primaryKey="ID" type="global" dataNode="dn1,dn2,dn3" />
            <table name="goods" primaryKey="ID" type="global" dataNode="dn1,dn2" />
            <!-- random sharding using mod sharind rule -->
            <table name="hotnews" primaryKey="ID" autoIncrement="true" dataNode="dn1,dn2,dn3"
                   rule="mod-long" />
            <!-- <table name="dual" primaryKey="ID" dataNode="dnx,dnoracle2" type="global"
                needAddLimit="false"/> <table name="worker" primaryKey="ID" dataNode="jdbc_dn1,jdbc_dn2,jdbc_dn3"
                rule="mod-long" /> -->
            <table name="employee" primaryKey="ID" dataNode="dn1,dn2"
                   rule="sharding-by-intfile" />
            <table name="customer" primaryKey="ID" dataNode="dn1,dn2"
                   rule="sharding-by-intfile">
                <childTable name="orders" primaryKey="ID" joinKey="customer_id"
                            parentKey="id">
                    <childTable name="order_items" joinKey="order_id"
                                parentKey="id" />
                </childTable>
                <childTable name="customer_addr" primaryKey="ID" joinKey="customer_id"
                            parentKey="id" />
            </table>
            <!-- <table name="oc_call" primaryKey="ID" dataNode="dn1$0-743" rule="latest-month-calldate"
                /> -->
        </schema>
        <!-- <dataNode name="dn1$0-743" dataHost="localhost1" database="db$0-743"
            /> -->
        <dataNode name="dn1" dataHost="192.168.208.143" database="mycat_db1" />
        <dataNode name="dn2" dataHost="192.168.208.145" database="mycat_db3" />
        <dataNode name="dn3" dataHost="192.168.208.143" database="mycat_db2" />
        <!--<dataNode name="dn4" dataHost="sequoiadb1" database="SAMPLE" />
         <dataNode name="jdbc_dn1" dataHost="jdbchost" database="db1" />
        <dataNode    name="jdbc_dn2" dataHost="jdbchost" database="db2" />
        <dataNode name="jdbc_dn3"     dataHost="jdbchost" database="db3" /> -->
        <dataHost name="192.168.208.143" 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="hostM1" url="192.168.208.143:3306" user="root"
                       password="123456">
                <!-- can have multi read hosts -->
                <readHost host="hostS2" url="192.168.208.143:3306" user="root" password="123456" />
            </writeHost>
            <!-- <writeHost host="hostS1" url="localhost:3316" user="root"
                       password="123456" /> -->
            <!-- <writeHost host="hostM2" url="localhost:3316" user="root" password="123456"/> -->
        </dataHost>
        <dataHost name="192.168.208.145" 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="hostM3" url="192.168.208.145:3306" user="root"
                       password="123456">
                <!-- can have multi read hosts -->
                <readHost host="hostS4" url="192.168.208.145:3306" user="root" password="123456" />
            </writeHost>
            <!-- <writeHost host="hostS1" url="localhost:3316" user="root"
                       password="123456" /> -->
            <!-- <writeHost host="hostM2" url="localhost:3316" user="root" password="123456"/> -->
        </dataHost>
        <!--
            <dataHost name="sequoiadb1" maxCon="1000" minCon="1" balance="0" dbType="sequoiadb" dbDriver="jdbc">
            <heartbeat>         </heartbeat>
             <writeHost host="hostM1" url="sequoiadb://1426587161.dbaas.sequoialab.net:11920/SAMPLE" user="jifeng"     password="jifeng"></writeHost>
             </dataHost>
    
          <dataHost name="oracle1" maxCon="1000" minCon="1" balance="0" writeType="0"     dbType="oracle" dbDriver="jdbc"> <heartbeat>select 1 from dual</heartbeat>
            <connectionInitSql>alter session set nls_date_format='yyyy-mm-dd hh24:mi:ss'</connectionInitSql>
            <writeHost host="hostM1" url="jdbc:oracle:thin:@127.0.0.1:1521:nange" user="base"     password="123456" > </writeHost> </dataHost>
    
            <dataHost name="jdbchost" maxCon="1000"     minCon="1" balance="0" writeType="0" dbType="mongodb" dbDriver="jdbc">
            <heartbeat>select     user()</heartbeat>
            <writeHost host="hostM" url="mongodb://192.168.0.99/test" user="admin" password="123456" ></writeHost> </dataHost>
    
            <dataHost name="sparksql" maxCon="1000" minCon="1" balance="0" dbType="spark" dbDriver="jdbc">
            <heartbeat> </heartbeat>
             <writeHost host="hostM1" url="jdbc:hive2://feng01:10000" user="jifeng"     password="jifeng"></writeHost> </dataHost> -->
    
        <!-- <dataHost name="jdbchost" maxCon="1000" minCon="10" balance="0" dbType="mysql"
            dbDriver="jdbc"> <heartbeat>select user()</heartbeat> <writeHost host="hostM1"
            url="jdbc:mysql://localhost:3306" user="root" password="123456"> </writeHost>
            </dataHost> -->
    </mycat:schema>

    11、启动MyCat。

    [root@localhost Desktop]# /usr/local/Mycat/bin/mycat console

    12、测试连接。

    参考资源:

    http://www.mycat.org.cn

    http://www.mycat.org.cn/document/Mycat_V1.6.0.pdf

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  • 原文地址:https://www.cnblogs.com/i-blog/p/6188096.html
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