- 首先下载 mycat：（ “选择win版本 第6个文件就是”）
- 下载完毕，解压mycat之后配置环境变量
![在这里插入图片描述]()
![在这里插入图片描述]()
- ok，环境变量配置完毕，解压后的mycat一大堆文件，首先我们要找到这几个：
![在这里插入图片描述]()
- 依次打开这几个文件，我们就按照月份分片配置好mycat
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">false</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>
-->
<!--mycat 用户名-->
<user name="root">
<!--mycat 密码-->
<property name="password">root</property>
<property name="schemas">TESTDB</property>
<!--是否只读-->
<property name="readOnly">false</property>
<!-- 表级 DML 权限设置
<privileges check="false">
<schema name="TESTDB" dml="0110" >
<table name="dn1" 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>
schema.xml
<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/">
<!-- name="TESTDB"是在server.xml中配置<property name="schemas">TESTDB</property>-->
<schema name="TESTDB" checkSQLschema="false" sqlMaxLimit="100" >
<table name="sensor_data" subTables="january,february,march,april,may,june,july,august,september,october,november,december" primaryKey="id" autoIncrement="true" dataNode="dn1" rule="sharding-by-month" > </table>
</schema>
<!--配置mysql数据库testdb2 mycat逻辑库名为 dn1-->
<dataNode name="dn1" dataHost="localhost1" database="testdb2" />
<!--配置数据类型 balance="0"读写不分离 -->
<dataHost name="localhost1" maxCon="1000" minCon="10" balance="0" writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<!--心跳包 -->
<heartbeat>select user()</heartbeat>
<!--配置mysql数据 账户密码 -->
<writeHost host="hostM1" url="localhost:3306" user="root" password="root" />
</dataHost>
</mycat:schema>
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="sharding-by-month">
<rule>
<!--按照创建时间分表-->
<!--属性指定对应表中用于分片的列名-->
<columns>create_time</columns>
<!--属性对应function 中指定的算法的名称-->
<algorithm>sharding-by-month</algorithm>
</rule>
</tableRule>
<function name="sharding-by-month" class="io.mycat.route.function.PartitionByMonth">
<!--按月分片-->
<property name="dateFormat">yyyy-MM-dd HH:mm:ss</property>
<!--开始时间，插入数据只能是这个年份的数据-->
<property name="sBeginDate">2020-01-01 00:00:00</property>
</function>
</mycat:rule>
wrapper.conf(主要是修改个wrapper.java.command=自己的jdk路径)
#********************************************************************
# Wrapper Properties
#********************************************************************
# Java Application
wrapper.java.command=C:\Program Files\Java\jdk1.8.0_131\bin\java.exe
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 1
wrapper.java.classpath.1=lib/wrapper.jar
wrapper.java.classpath.2=conf
wrapper.java.classpath.3=%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
现在打开Navicat，我们按照mycat中schema.xml配置的建立一个testdb2库和一月到十二月的表
/*
Navicat Premium Data Transfer
Source Server : guoheng
Source Server Type : MySQL
Source Server Version : 50717
Source Host : localhost:3306
Source Schema : testdb2
Target Server Type : MySQL
Target Server Version : 50717
File Encoding : 65001
Date: 12/03/2020 10:00:52
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for april
-- ----------------------------
DROP TABLE IF EXISTS `april`;
CREATE TABLE `april` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 11 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for august
-- ----------------------------
DROP TABLE IF EXISTS `august`;
CREATE TABLE `august` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for december
-- ----------------------------
DROP TABLE IF EXISTS `december`;
CREATE TABLE `december` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 3 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for february
-- ----------------------------
DROP TABLE IF EXISTS `february`;
CREATE TABLE `february` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 201 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for january
-- ----------------------------
DROP TABLE IF EXISTS `january`;
CREATE TABLE `january` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 202 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for july
-- ----------------------------
DROP TABLE IF EXISTS `july`;
CREATE TABLE `july` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for june
-- ----------------------------
DROP TABLE IF EXISTS `june`;
CREATE TABLE `june` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for march
-- ----------------------------
DROP TABLE IF EXISTS `march`;
CREATE TABLE `march` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 501 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for may
-- ----------------------------
DROP TABLE IF EXISTS `may`;
CREATE TABLE `may` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for november
-- ----------------------------
DROP TABLE IF EXISTS `november`;
CREATE TABLE `november` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for october
-- ----------------------------
DROP TABLE IF EXISTS `october`;
CREATE TABLE `october` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for september
-- ----------------------------
DROP TABLE IF EXISTS `september`;
CREATE TABLE `september` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`create_time` datetime(0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
SET FOREIGN_KEY_CHECKS = 1;
- 接下来点击 startup_nowrap.bat 启动mycat
- 使用Navicat连接mycat（账号密码在server.xml中配置）
![在这里插入图片描述]()
![在这里插入图片描述]()
我们输入插入sql：
INSERT INTO sensor_data(id,create_time) VALUES(null,'2020-12-21 11:11:11');
发现mycat成功将数据插入到十二月份的表中
日期create_time可以随意输入一月到十二月，mycat会根据月份存储到相应的表中
我们输入查询语句
SELECT * from sensor_data;
它将一月到十二月中的数据全部查了出来（mycat抽象成一张表，物理上是十二张表）
