MyCat配置文件说明

新手入门Mycat，首先会碰到Mycat的登陆问题、建立库表问题、及如何分库分表的问题。这三个问题对应下面几个xml文件。

登陆用户名配置文件server.xml

参考mycat1.5.1 源码以下：

<?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://org.opencloudb/">
	<system>
	<property name="defaultSqlParser">druidparser</property>
      <!--  <property name="useCompression">1</property>--> <!--1为开启mysql压缩协议-->
	<!-- <property name="processorBufferChunk">40960</property> -->
	<!-- 
	<property name="processors">1</property> 
	<property name="processorExecutor">32</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="mutiNodeLimitType">1</property> 0：开启小数量级（默认） ；1：开启亿级数据排序
	    	<property name="mutiNodePatchSize">100</property> 亿级数量排序批量
			<property name="processors">32</property> <property name="processorExecutor">32</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> -->
	</system>
	<user name="test">
		<property name="password">test</property>
		<property name="schemas">TESTDB</property>
	</user>

	<user name="user">
		<property name="password">user</property>
		<property name="schemas">TESTDB</property>
		<property name="readOnly">true</property>
	</user>
	<!-- 
	<quarantine> 
	   <whitehost>
	      <host host="127.0.0.1" user="mycat"/>
	      <host host="127.0.0.2" user="mycat"/>
	   </whitehost>
       <blacklist check="false"></blacklist>
	</quarantine>
	-->

</mycat:server>

上面配置了两个登陆用户 test  和 user，及登陆密码和相应的数据库（或者叫schema）。有了这些schema咱们就要找到相应的schema配置文件。

schema配置文件  schema.xml

引用mycat的schema.xml文件源码

<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://org.opencloudb/">

	<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" 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="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 -->

		</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>

从schema.xml文件中，咱们能够知道TETDB这个schema中包含这些虚拟表：travelrecord、company、goods、hotnews、employee、customer，  这只是虚拟表，在实际数据库中并不必定存在的。

接下来看单个表的设置。以配置最全的customer表为例。

<table name="customer" primaryKey="ID" dataNode="dn1,dn2"
			rule="sharding-by-intfile">  <!-- 主键是ID，表结构落在dn1和dn2两个物理数据库中 分片规则是sharding-by-intfile这个分片规则在rule.xml中讲-->
          
			<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>