Mycat是一个开源的分布式数据库系统,不同于oracle和mysql,Mycat并没有存储引擎,但是Mycat实现了mysql协议,前段用户可以把它当做一个Proxy。其核心功能是分表分库,即将一个大表水平分割为N个小表,存储在后端mysql存储引擎里面。最新版本的Mycat不仅支持mysql,还可以支持MS SqlServer,Oracle,DB2等关系型数据库,而且还支持MongoDB这种NoSQL。Mycat对调用者屏蔽了后端存储具体实现。

Mycat的原理是先拦截用户的SQL语句并做分析:分片分析,路由分析,读写分离分析,缓存分析等,再对将该SQL语句发送到指定规则的数据库。最终将存储引擎返回的结果返回给用户.

本次搭建的Mycat读写分离和分库分表配置是基于5台服务器(1台Mac,4台Centos),架构图如下,Mac服务器上面安装Mycat;M1(OS名称:Server1,Ip:172.16.130.189)和M2(OS名称:Server2,Ip:172.16.130.190)是两个写节点; S1(OS名称:Server3,Ip:172.16.130.191)和S2(OS名称:Server4,Ip:172.16.130.192)是两个读节点。且M1和S1配置了主从复制,M2和S2也配置了主从复制。

步骤

1.在Server1,Server2,Server3和Server4中安装相同版本的Mysql,安装步骤在我之前的一篇文章中:四·安装mysql-5.7.16-linux-glibc2.5-x86_64.tar.gz(基于Centos7源码安装)

2.配置Server3同步Server1;Server4同步Server2,在我的另外一篇文章中:一.Mysql主从复制配置

其中关键代码如下

--------------------------------------Server1配置-----------------------------------------------------------
mysql> grant replication slave on *.* to 'mysqlsync'@'172.16.130.191' identified by 'mysqlsync';
Query OK, 0 rows affected, 1 warning (0.01 sec) mysql> show master status;
+------------+----------+--------------+------------------+-------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB | Executed_Gtid_Set |
+------------+----------+--------------+------------------+-------------------+
| bin.000003 | 455 | | | |
+------------+----------+--------------+------------------+-------------------+
1 row in set (0.00 sec)
--------------------------------------Server3配置-----------------------------------------------------------

mysql> change master to master_host='172.16.130.189',master_user='mysqlsync',master_password='mysqlsync',master_log_file='bin.000003',master_log_pos=154;
  Query OK, 0 rows affected, 2 warnings (0.01 sec)

mysql> start slave;
  Query OK, 0 rows affected (0.00 sec)


3.在Server1和Server2上面分别新建一个名为mycattest的schema,且配置的访问用户名为mycattest,密码为1234
4.修改wapper.cnf
#********************************************************************
# Wrapper Properties
#********************************************************************
# Java Application
wrapper.java.command=/Library/Java/JavaVirtualMachines/jdk1..0_79.jdk/Contents/Home/bin/java
wrapper.working.dir=.. # Java Main class. This class must implement the WrapperListener interface
# or guarantee that the WrapperManager class is initialized. Helper
# classes are provided to do this for you. See the Integration section
# of the documentation for details.
wrapper.java.mainclass=org.tanukisoftware.wrapper.WrapperSimpleApp
set.default.REPO_DIR=lib
set.APP_BASE=. # Java Classpath (include wrapper.jar) Add class path elements as
# needed starting from
wrapper.java.classpath.=lib/wrapper.jar
wrapper.java.classpath.=conf
wrapper.java.classpath.=%REPO_DIR%/* # Java Library Path (location of Wrapper.DLL or libwrapper.so)
wrapper.java.library.path.1=lib # Java Additional Parameters
#wrapper.java.additional.1=
wrapper.java.additional.1=-DMYCAT_HOME=.
wrapper.java.additional.2=-server
wrapper.java.additional.3=-XX:MaxPermSize=64M
wrapper.java.additional.4=-XX:+AggressiveOpts
wrapper.java.additional.5=-XX:MaxDirectMemorySize=2G
wrapper.java.additional.6=-Dcom.sun.management.jmxremote
wrapper.java.additional.7=-Dcom.sun.management.jmxremote.port=1984
wrapper.java.additional.8=-Dcom.sun.management.jmxremote.authenticate=false
wrapper.java.additional.9=-Dcom.sun.management.jmxremote.ssl=false
wrapper.java.additional.10=-Xmx4G
wrapper.java.additional.11=-Xms1G # Initial Java Heap Size (in MB)
#wrapper.java.initmemory=3 # Maximum Java Heap Size (in MB)
#wrapper.java.maxmemory=64 # Application parameters. Add parameters as needed starting from 1
wrapper.app.parameter.1=io.mycat.MycatStartup
wrapper.app.parameter.2=start #********************************************************************
# Wrapper Logging Properties
#********************************************************************
# Format of output for the console. (See docs for formats)
wrapper.console.format=PM # Log Level for console output. (See docs for log levels)
wrapper.console.loglevel=INFO # Log file to use for wrapper output logging.
wrapper.logfile=logs/wrapper.log # Format of output for the log file. (See docs for formats)
wrapper.logfile.format=LPTM # Log Level for log file output. (See docs for log levels)
wrapper.logfile.loglevel=INFO # Maximum size that the log file will be allowed to grow to before
# the log is rolled. Size is specified in bytes. The default value
# of 0, disables log rolling. May abbreviate with the 'k' (kb) or
# 'm' (mb) suffix. For example: 10m = 10 megabytes.
wrapper.logfile.maxsize=0 # Maximum number of rolled log files which will be allowed before old
# files are deleted. The default value of 0 implies no limit.
wrapper.logfile.maxfiles=0 # Log Level for sys/event log output. (See docs for log levels)
wrapper.syslog.loglevel=NONE #********************************************************************
# Wrapper Windows Properties
#********************************************************************
# Title to use when running as a console
wrapper.console.title=Mycat-server #********************************************************************
# Wrapper Windows NT/2000/XP Service Properties
#********************************************************************
# WARNING - Do not modify any of these properties when an application
# using this configuration file has been installed as a service.
# Please uninstall the service before modifying this section. The
# service can then be reinstalled. # Name of the service
wrapper.ntservice.name=mycat # Display name of the service
wrapper.ntservice.displayname=Mycat-server # Description of the service
wrapper.ntservice.description=The project of Mycat-server # Service dependencies. Add dependencies as needed starting from 1
wrapper.ntservice.dependency.1= # Mode in which the service is installed. AUTO_START or DEMAND_START
wrapper.ntservice.starttype=AUTO_START # Allow the service to interact with the desktop.
wrapper.ntservice.interactive=false wrapper.ping.timeout=120
configuration.directory.in.classpath.first=conf

5.修改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="defaultSqlParser">druidparser</property>
<property name="useSqlStat"></property> <!-- 1为开启实时统计、0为关闭 -->
<property name="useGlobleTableCheck"></property> <!-- 1为开启全加班一致性检测、0为关闭 --> <property name="sequnceHandlerType"></property>
<!-- <property name="useCompression"></property>--> <!--1为开启mysql压缩协议-->
<!-- <property name="fakeMySQLVersion">5.6.</property>--> <!--设置模拟的MySQL版本号-->
<!-- <property name="processorBufferChunk"></property> -->
<!--
<property name="processors"></property>
<property name="processorExecutor"></property>
-->
<!--默认为type : DirectByteBufferPool | type ByteBufferArena-->
<property name="processorBufferPoolType"></property>
<!--默认是65535 64K 用于sql解析时最大文本长度 -->
<!--<property name="maxStringLiteralLength"></property>-->
<!--<property name="sequnceHandlerType"></property>-->
<!--<property name="backSocketNoDelay"></property>-->
<!--<property name="frontSocketNoDelay"></property>-->
<!--<property name="processorExecutor"></property>-->
<!--
<property name="serverPort"></property> <property name="managerPort"></property>
<property name="idleTimeout"></property> <property name="bindIp">0.0.0.0</property>
<property name="frontWriteQueueSize"></property> <property name="processors"></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"></property> <!--
off heap for merge/order/group/limit 1开启 0关闭
-->
<property name="useOffHeapForMerge"></property> <!--
单位为m
-->
<property name="memoryPageSize">1m</property> <!--
单位为k
-->
<property name="spillsFileBufferSize">1k</property> <property name="useStreamOutput"></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="test1">
<property name="password"></property>
<property name="schemas">TESTDB</property> <!-- 表级 DML 权限设置 -->
<!--
<privileges check="false">
<schema name="TESTDB" dml="" >
<table name="tb01" dml=""></table>
<table name="tb02" dml=""></table>
</schema>
</privileges>
-->
</user> <user name="test2">
<property name="password">user</property>
<property name="schemas">TESTDB</property>
<property name="readOnly">true</property>
</user> </mycat:server>

6.修改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="">
<table name="g_user" primaryKey="user_id" dataNode="Server1,Server2" rule="sharding-by-mod" /> </schema> <dataNode name="Server1" dataHost="172.16.130.189" database="mycattest" />
<dataNode name="Server2" dataHost="172.16.130.190" database="mycattest" /> <!-- data host definition for oe -->
<dataHost name="172.16.130.189" maxCon="" minCon="" balance=""
writeType="" dbType="mysql" dbDriver="native" switchType="-1" slaveThreshold="">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="Server1" url="172.16.130.189:3306" user="mycattest" password="">
<!-- can have multi read hosts -->
<readHost host="Server3" url="172.16.130.191:3306" user="mycattest" password=""/>
</writeHost>
</dataHost>
<dataHost name="172.16.130.190" maxCon="" minCon="" balance=""
writeType="" dbType="mysql" dbDriver="native" switchType="-1" slaveThreshold="">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="Server2" url="172.16.130.190:3306" user="mycattest" password="" >
<!-- can have multi read hosts -->
<readHost host="Server4" url="172.16.130.192:3306" user="mycattest" password=""/>
</writeHost>
<!-- <writeHost host="hostM2" url="localhost:3316" user="root" password=""/> -->
</dataHost> </mycat:schema>

7.启动Mycat

bogon:bin Randy$ ./mycat console
Running Mycat-server...
wrapper | --> Wrapper Started as Console
wrapper | Launching a JVM...
jvm | Wrapper (Version 3.2.) http://wrapper.tanukisoftware.org
jvm | Copyright - Tanuki Software, Inc. All Rights Reserved.
jvm |
jvm | -- ::, [INFO ][WrapperSimpleAppMain] total resouces of dataHost 172.16.130.190 is : (io.mycat.backend.datasource.PhysicalDBPool:PhysicalDBPool.java:)
jvm | -- ::, [INFO ][WrapperSimpleAppMain] total resouces of dataHost 172.16.130.189 is : (io.mycat.backend.datasource.PhysicalDBPool:PhysicalDBPool.java:)
jvm | -- ::, [INFO ][WrapperSimpleAppMain] create layer cache pool TableID2DataNodeCache of type encache ,default cache size ,default expire seconds18000 (io.mycat.cache.CacheService:CacheService.java:)
jvm | -- ::, [INFO ][WrapperSimpleAppMain] create child Cache: TESTDB_ORDERS for layered cache TableID2DataNodeCache, size , expire seconds (io.mycat.cache.DefaultLayedCachePool:DefaultLayedCachePool.java:)
jvm | -- ::, [DEBUG][WrapperSimpleAppMain] Configuring ehcache from ehcache.xml found in the classpath: file:/Users/Randy/Developer/16InstallSoftware/mycat/conf/ehcache.xml (net.sf.ehcache.config.ConfigurationFactory:ConfigurationFactory.java:)

******测试:

由于我在上面的配置中,定了表g_user按照sharding-by-mod算法规则来分片,

<table name="g_user" primaryKey="user_id"  dataNode="Server1,Server2"  rule="sharding-by-mod" />

通过Mycat插入了两条数据

insert into g_user(id) values(1);
insert into g_user(id) values(2);

通过查询,发现id=1的数据被插入到了M2和S2数据库服务器,而id=2的数据被插入到了M1和S1数据库

Mycat数据库中间件对Mysql读写分离和分库分表配置的更多相关文章

  1. mycat+mysql集群:实现读写分离,分库分表

    1.mycat文档:https://github.com/MyCATApache/Mycat-doc       官方网站:http://www.mycat.org.cn/ 2.mycat的优点: 配 ...

  2. spring boot sharding-jdbc实现分佈式读写分离和分库分表的实现

    分布式读写分离和分库分表采用sharding-jdbc实现. sharding-jdbc是当当网推出的一款读写分离实现插件,其他的还有mycat,或者纯粹的Aop代码控制实现. 接下面用spring ...

  3. MyCat读写分离、分库分表

    系统开发中,数据库是非常重要的一个点.除了程序的本身的优化,如:SQL语句优化.代码优化,数据库的处理本身优化也是非常重要的.主从.热备.分表分库等都是系统发展迟早会遇到的技术问题问题.Mycat是一 ...

  4. Mycat实现读写分离、分库分表

    系统开发中,数据库是非常重要的一个点.除了程序的本身的优化,如:SQL语句优化.代码优化,数据库的处理本身优化也是非常重要的.主从.热备.分表分库等都是系统发展迟早会遇到的技术问题问题.Mycat是一 ...

  5. Mysql之Mycat读写分离及分库分表

    ## 什么是mycat ```basic 1.一个彻底开源的,面向企业应用开发的大数据库集群 2.支持事务.ACID.可以替代MySQL的加强版数据库 3.一个可以视为MySQL集群的企业级数据库,用 ...

  6. sharing-jdbc实现读写分离及分库分表

    需求: 分库:按业务线business_id将不同业务线的订单存储在不同的数据库上: 分表:按user_id字段将不同用户的订单存储在不同的表上,为方便直接用非分片字段order_id查询,可使用基因 ...

  7. Tbase读写分离与分库分表

    一.读写分离 1.1 what 读写分离 读写分离,基本的原理是让主数据库处理事务性增.改.删操作(INSERT.UPDATE.DELETE),而从数据库处理SELECT查询操作.数据库复制被用来把事 ...

  8. mysql主从读写分离,分库分表

    1.分表 当项目上线后,数据将会几何级的增长,当数据很多的时候,读取性能将会下降,更新表数据的时候也需要更新索引,所以我们需要分表,当数据量再大的时候就需要分库了. a.水平拆分:数据分成多个表 b. ...

  9. Ameba读写分离_mycat分库分表_redis缓存

    1 数据库的读写分离 1.1 Amoeba实现读写分离 1.1.1 定义 Amoeba是一个以MySQL为底层数据存储,并对应用提供MySQL协议接口的proxy 优点: 配置读写分离时较为简单.配置 ...

随机推荐

  1. [PY3]——求TopN/BtmN 和 排序问题的解决

    需求 K长的序列,求TopN K长的序列,求BtmN 排序问题 解决 heap.nlargest().heap.nsmallest( ) sorted( )+切片 max( ).min( ) 总结和比 ...

  2. 移动端rem适配屏幕

    九月已成历史,十月如期而至...可能是九月工作比较清闲,周记就没怎么写,十月决不能这么堕落,立贴为证,至少保证5篇博客!!!如果没学到什么新知识,就对以往的那些工作中常用到的知识点做个总结...话不多 ...

  3. vue加载Element ui地址省市区插件-- element-china-area-data

    1.安装 npm install element-china-area-data -S 2.使用(引入) import { provinceAndCityData, regionData, provi ...

  4. 在 Web 应用中创建 Node.js 应用程序

    本分步指南将通过 Azure Web 应用帮助您启动并运行示例 Node.JS 应用程序.除 Node.JS 外,Azure Web 应用还支持其他语言,如 PHP..NET.Node.JS.Pyth ...

  5. .NET MVC Scripts.Render 上下文不存在问题解决方法

    要想使用 @Scripts.Render(),就要用到 BundleConfig.cs 这个类,在App_Start目录下新建一下这个类, 类的内容如下: 使用这个类需要引入 using System ...

  6. redis(3)发布订阅

    一.发布/订阅模式 在软件工程里面,发布/订阅是一种消息模式,这种模式旨在将消息发送者和消息接收者解耦.发送者不需要关心将消息发送给谁,接收者也不需要知道消息的发送者是谁.发送者将消息发布以后就结束动 ...

  7. cocos creator Touch事件应用(触控选择多个子节点)

    最近参与了cocos creator的研究,开发小游戏,结果被一个事件坑得不行不行的.现在终于解决了,分享给大家. 原理 1.触控事件是针对节点的 2.触控事件的冒泡,是一级一级往上冒泡,中间可以阻止 ...

  8. Redis(什么是Redis?)

    Redis是一个开源的内存数据库,可以作为缓存也可以作为消息队列.它支持的数据结构有:字符串.哈希表.列表.集合.有序集合. Redis:Redis是Remote Dictionary Server( ...

  9. Tips——App启动速度的优化与监控

    一.App的启动模式 冷启动:App点击启动前,它的进程不在系统里,需要系统新创建一个进程分配给它启动的情况.这是一次完整的启动过程. 热启动:App在冷启动后用户将App退后台,在App的进程还在系 ...

  10. python垃圾回收机制(Garbage collection)

    由于面试中遇到了垃圾回收的问题,转载学习和总结这个问题. 在C/C++中采用用户自己管理维护内存的方式.自己管理内存极其自由,可以任意申请内存,但也为大量内存泄露.悬空指针等bug埋下隐患. 因此在现 ...