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Code  ›  springboot + mybatis + mycat整合 - 花拾夕
https://www.cnblogs.com/kingsonfu/p/10628409.html
小眼睛的手套
7 月前 
<?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>
    <schema name="springboot" checkSQLschema="false" sqlMaxLimit="100">
        <!-- auto sharding by id (long) -->
        <table name="tb_user" 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="tb_company" primaryKey="ID" type="global" dataNode="dn1,dn2,dn3" />
    </schema>
    <!-- <dataNode name="dn1$0-743" dataHost="localhost1" database="db$0-743"
        /> -->
    <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="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="localhost1" 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="localhost:3306" user="root"
                   password="123456">
            <!-- can have multi read hosts -->
            <!-- <readHost host="hostS2" url="192.168.1.200:3306" user="root" password="xxx" /> -->
        </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>

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="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="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">1</property>
        <property name="memoryPageSize">64k</property>
        <property name="spillsFileBufferSize">1k</property>
        <property name="useStreamOutput">0</property>
        <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>
    <user name="root" defaultAccount="true">
        <property name="password">123456</property>
        <property name="schemas">TESTDB,springboot</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>

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">
            <columns>id</columns>
            <algorithm>func1</algorithm>
        </rule>
    </tableRule>
    <tableRule name="rule2">
            <columns>user_id</columns>
            <algorithm>func1</algorithm>
        </rule>
    </tableRule>
    <tableRule name="sharding-by-intfile">
            <columns>sharding_id</columns>
            <algorithm>hash-int</algorithm>
        </rule>
    </tableRule>
    <tableRule name="auto-sharding-long">
            <columns>id</columns>
            <algorithm>rang-long</algorithm>
        </rule>
    </tableRule>
    <tableRule name="mod-long">
            <columns>id</columns>
            <algorithm>mod-long</algorithm>
        </rule>
    </tableRule>
    <tableRule name="sharding-by-murmur">
            <columns>id</columns>
            <algorithm>murmur</algorithm>
        </rule>
    </tableRule>
    <tableRule name="crc32slot">
            <columns>id</columns>
            <algorithm>crc32slot</algorithm>
        </rule>
    </tableRule>
    <tableRule name="sharding-by-month">
            <columns>create_time</columns>
            <algorithm>partbymonth</algorithm>
        </rule>
    </tableRule>
    <tableRule name="latest-month-calldate">
            <columns>calldate</columns>
            <algorithm>latestMonth</algorithm>
        </rule>
    </tableRule>
    <tableRule name="auto-sharding-rang-mod">
            <columns>id</columns>
            <algorithm>rang-mod</algorithm>
        </rule>
    </tableRule>
    <tableRule name="jch">
            <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">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>

需要的可自行修改。

pom依赖： 

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.0.0</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>

application.yml配置文件： 

#设置应用端口
server:
  port: 8080
spring:
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    # Mycat连接
    url: jdbc:mysql://localhost:8066/springboot?useUnicode=true&characterEncoding=utf-8&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8
    username: root
    password: 123456
# MyBatis
mybatis:
    type-aliases-package: com.example.springbootmybatismycat.domain
    mapper-locations: classpath:/mybatis/*.xml
    #sql打印配置
    configuration:
        log-impl: org.apache.ibatis.logging.stdout.StdOutImpl

整体文件结构如图：

其他实体类等就不放上去了，有需要的可自行到github上下载测试。

打开浏览器，使用测试接口测试

4.1 tb_company表测试

添加公司：

查看公司：

查看mycat:

查看mysql:

可以看到正如配置的： 

<table name="tb_company" primaryKey="ID" type="global" dataNode="dn1,dn2,dn3" />

tb_company配置为了全局，所以在每个数据库中都有数据。

4.2 tb_User表测试

添加用户：

查看用户：

查看mycat:

查看mysql:

因为schema.xml配置中tb_user的配置为： 

<table name="tb_user" dataNode="dn1,dn2,dn3" rule="auto-sharding-long" />

对应rule规则为： 

<tableRule name="auto-sharding-long">
            <columns>id</columns>
            <algorithm>rang-long</algorithm>
        </rule>
</tableRule>
<function name="rang-long"
        class="io.mycat.route.function.AutoPartitionByLong">
        <property name="mapFile">autopartition-long.txt</property>
</function>

autopartition-long.txt文件为： 

# range start-end ,data node index
# K=1000,M=10000.
0-500M=0
500M-1000M=1
1000M-1500M=2

按照规则auto-sharding-long进行分区处理，id为1时对应0，即db1数据库。

在新增用户时报错：partition table, insert must provide ColumnList错误，解决： 

将insert into tb_user VALUES (#{userId}, #{userName},#{companyId});
insert into tb_user(id, name, company_id) VALUES (#{userId}, #{userName},#{companyId});

即加上所有的列字段

springboot + mybatis + mycat整合Github源码参照

 
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