1、安裝JDK，要求JDK7以上。

2、下載MyCat，地址。

3、解壓Mycat-server-1.6-RELEASE-20161028204710-linux.tar.gz，到usr/local/Mycat目錄下。

4、添加用戶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用戶的文件權限和用戶組。

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

6、添加環境變量。

　　編輯/etc/profile，在文件最后追加如下內容。

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

　　執行 source /etc/profile 命令，使環境變量生效。

[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、檢查并提前準備MySQL環境。安裝參考

192.168.208.143,root:123456,mycat_db1/mycat_db2.

192.168.208.145,root:123456,mycat_db3.

?表結構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為開啟實時統計、0為關閉 --><property name="useGlobleTableCheck">0</property> <!-- 1為開啟全加班一致性檢測、0為關閉 --><property name="sequnceHandlerType">2</property><!-- <property name="useCompression">1</property>--> <!--1為開啟mysql壓縮協議--><!-- <property name="fakeMySQLVersion">5.6.20</property>--> <!--設置模擬的MySQL版本號--><!-- <property name="processorBufferChunk">40960</property> --><!-- <property name="processors">1</property> <property name="processorExecutor">32</property> --><!--默認為type 0: DirectByteBufferPool | type 1 ByteBufferArena--><property name="processorBufferPoolType">0</property><!--默認是65535 64K 用于sql解析時最大文本長度 --><!--<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> --><!--分布式事務開關，0為不過濾分布式事務，1為過濾分布式事務（如果分布式事務內只涉及全局表，則不過濾），2為不過濾分布式事務,但是記錄分布式事務日志--><property name="handleDistributedTransactions">0</property><!--off heap for merge/order/group/limit 1開啟 0關閉--><property name="useOffHeapForMerge">1</property><!--單位為m--><property name="memoryPageSize">1m</property><!--單位為k--><property name="spillsFileBufferSize">1k</property><property name="useStreamOutput">0</property><!--單位為m--><property name="systemReserveMemorySize">384m</property><!--是否采用zookeeper協調切換 --><property name="useZKSwitch">true</property></system><!-- 全局SQL防火墻設置 --><!-- <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><!-- 表級 DML 權限設置 --><!-- <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><!-- 默認是0 --><property name="count">2</property><!-- 要分片的數據庫節點數量，必須指定，否則沒法分片 --><property name="virtualBucketTimes">160</property><!-- 一個實際的數據庫節點被映射為這么多虛擬節點，默認是160倍，也就是虛擬節點數是物理節點數的160倍 --><!-- <property name="weightMapFile">weightMapFile</property> 節點的權重，沒有指定權重的節點默認是1。以properties文件的格式填寫，以從0開始到count-1的整數值也就是節點索引為key，以節點權重值為值。所有權重值必須是正整數，否則以1代替 --><!-- <property name="bucketMapPath">/etc/mycat/bucketMapPath</property> 用于測試時觀察各物理節點與虛擬節點的分布情況，如果指定了這個屬性，會把虛擬節點的murmur hash值與物理節點的映射按行輸出到這個文件，沒有默認值，如果不指定，就不會輸出任何東西 --></function><function name="crc32slot"class="io.mycat.route.function.PartitionByCRC32PreSlot"><property name="count">2</property><!-- 要分片的數據庫節點數量，必須指定，否則沒法分片 --></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 joinwith 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、啟動MyCat。

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

12、測試連接。

?

?

參考資源：

http://www.mycat.org.cn

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

轉載于:https://www.cnblogs.com/i-blog/p/6188096.html

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