Mycat分库分表案例demo
2024-05-12 10:24:22
Mycat分库分表实战案例demo
环境准备
两台虚拟机
Host1 : 192.168.12.66
Host2 : 192.168.12.88
MySQL 5.7
Mycat 1.6
分库分表规则
mycat定义两个逻辑库，分别为db_user、db_store表db_user按照模分成2个片,分别落在host1、host2上表db_store为主从复制模式，分别落在host1、host2上
创建数据库和表结构
- 分别在HOST1、HOST2执行db_user.sql
CREATE DATABASE db_user DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;use db_user;-- ----------------------------
-- Table structure for data_dictionary
-- ----------------------------
DROP TABLE IF EXISTS `data_dictionary`;
CREATE TABLE `data_dictionary` (`dataDictionaryID` int(11) NOT NULL COMMENT '数据字典ID',`displayName` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT '显示名称',`value` varchar(255) COLLATE utf8_bin DEFAULT NULL COMMENT '数据字典取值',`createTime` datetime DEFAULT NULL COMMENT '创建时间',`lastUpdate` datetime DEFAULT NULL COMMENT '最后更新时间',PRIMARY KEY (`dataDictionaryID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;-- ----------------------------
-- Table structure for user_address
-- ----------------------------
DROP TABLE IF EXISTS `user_address`;CREATE TABLE `user_address` (`addressID` int(11) NOT NULL COMMENT '地址ID',`receiver` varchar(16) COLLATE utf8_bin DEFAULT NULL COMMENT '收货人',`addressDetail` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT '地址详细',`userID` int(11) NOT NULL COMMENT '用户ID',`createTime` datetime DEFAULT NULL COMMENT '创建时间',`lastUpdate` datetime DEFAULT NULL COMMENT '最后更新时间',PRIMARY KEY (`addressID`,`userID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;-- ----------------------------
-- Table structure for users
-- ----------------------------
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (`userID` int(11) NOT NULL COMMENT '用户ID',`username` varchar(16) COLLATE utf8_bin DEFAULT NULL COMMENT '用户名',`phoneNum` varchar(32) COLLATE utf8_bin DEFAULT NULL COMMENT '手机号码',`age` int(11) DEFAULT NULL COMMENT '年龄',`ddID` int(11) DEFAULT NULL COMMENT '所属会员类型',`createTime` datetime DEFAULT NULL COMMENT '注册时间',`lastUpdate` datetime DEFAULT NULL COMMENT '最后更新时间',PRIMARY KEY (`userID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
- 只需要在HOST1(192.168.12.66)上执行db_store.sql，HOST2主从复制会自动同步数据
CREATE DATABASE db_store DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;use db_store;
-- ----------------------------
-- Table structure for employee
-- ----------------------------
DROP TABLE IF EXISTS `employee`;
CREATE TABLE `employee` (`employeeID` int(11) NOT NULL,`userName` varchar(16) COLLATE utf8_bin DEFAULT NULL,`phoneNum` varchar(32) COLLATE utf8_bin DEFAULT NULL,`age` int(11) DEFAULT NULL,`createTime` datetime DEFAULT NULL,`lastUpdate` datetime DEFAULT NULL,PRIMARY KEY (`employeeID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;-- ----------------------------
-- Table structure for store
-- ----------------------------
DROP TABLE IF EXISTS `store`;
CREATE TABLE `store` (`storeID` int(11) NOT NULL,`storeName` varchar(32) COLLATE utf8_bin DEFAULT NULL,`storeAddress` varchar(256) COLLATE utf8_bin DEFAULT NULL,`createTime` datetime DEFAULT NULL,`lastUpdate` datetime DEFAULT NULL,PRIMARY KEY (`storeID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin
执行完毕后如下
配置conf文件
两台host主机Mycat的conf目录下配置三个配置文件
schema.xml
<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/"><schema name="db_store" checkSQLschema="false" sqlMaxLimit="100"><table name="store" dataNode="db_store_dataNode" primaryKey="storeID"/><table name="employee" dataNode="db_store_dataNode" primaryKey="employeeID"/></schema><schema name="db_user" checkSQLschema="false" sqlMaxLimit="100"><table name="data_dictionary" type="global" dataNode="db_user_dataNode1,db_user_dataNode2" primaryKey="dataDictionaryID"/><table name="users" dataNode="db_user_dataNode$1-2" rule="mod-userID-long" primaryKey="userID"><childTable name="user_address" joinKey="userID" parentKey="userID" primaryKey="addressID"/></table></schema><!-- 节点配置 --><!-- db_store --><dataNode name="db_store_dataNode" dataHost="db_storeHOST" database="db_store" /><!-- db_user --><dataNode name="db_user_dataNode1" dataHost="db_userHOST1" database="db_user" /><dataNode name="db_user_dataNode2" dataHost="db_userHOST2" database="db_user" /><!-- 节点主机配置 --><!-- 配置db_store的节点主机 --><dataHost name="db_storeHOST" maxCon="1000" minCon="10" balance="1"writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100"><heartbeat>select user()</heartbeat><!-- can have multi write hosts --><writeHost host="hostM1" url="192.168.12.66:3306" user="root" password="123456"><!-- can have multi read hosts --><readHost host="hostS1" url="192.168.12.88:3306" user="root" password="123456" /></writeHost></dataHost><!-- 配置db_user的节点主机 --><dataHost name="db_userHOST1" maxCon="1000" minCon="10" balance="0"writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100"><heartbeat>select user()</heartbeat><writeHost host="userHost1" url="192.168.12.66:3306" user="root" password="123456"></writeHost></dataHost><dataHost name="db_userHOST2" 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="userHost2" url="192.168.12.88:3306" 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="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">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="root"><property name="password">123456</property><property name="schemas">db_store,db_user</property><!-- 表级 DML 权限设置 --><!-- <privileges check="false"><schema name="db_user" dml="0110" ><table name="users" dml="1111"></table> IUSD<table name="useraddres" dml="1110"></table></schema></privileges> --></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"><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="mod-userID-long"><rule><columns>userID</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="mod-long" class="io.mycat.route.function.PartitionByMod"><!-- how many data nodes --><property name="count">2</property></function><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"><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 --></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="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>
重启mycat
HOST1(192.168.12.66)、HOST2（192.168.12.88）
[root@localhost bin]# pwd
/software/mycat/bin
[root@localhost bin]# ./mycat restart
Stopping Mycat-server...
Mycat-server was not running.
Starting Mycat-server...
[root@localhost bin]# ./mycat status
Mycat-server is running (8228).
注意mycat是java编写的，因此需要安装jdk,此处省略
连接mycat
linux 控制台 mysql -uroot -padmin -P8066 -h192.168.12.66
查看逻辑库show database;
[root@localhost bin]# mysql -uroot -padmin -P8066 -h192.168.12.66
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 3
Server version: 5.6.29-mycat-1.6-RELEASE-20161028204710 MyCat Server (monitor)Copyright (c) 2000, 2018, Oracle and/or its affiliates. All rights reserved.Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.mysql> show database;
+----------+
| DATABASE |
+----------+
| db_store |
| db_user |
+----------+
2 rows in set (0.01 sec)mysql>
只能看到逻辑库 db_store、db_user
我们用Navicat连接如下
注意8066端口要开放，我这边直接关闭了防火墙。
插入数据测试
分片表users
通过mycat连接db_user库，执行如下SQL
insertdb_user_users.sql
INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('1', '张1', '13611111111', '31', '2', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('2', '王二', '13622222222', '32', '5', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('3', '李三', '13633333333', '33', '3', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('4', '赵四', '13644444444', '34', '1', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('5', '田五', '13655555555', '35', '3', '2018-10-10 13:39:41', '2018-10-10 13:39:41');如下执行
mysql> show databases;
+----------+
| DATABASE |
+----------+
| db_store |
| db_user |
+----------+
2 rows in set (0.01 sec)mysql> use db_user;
Database changed
mysql> show tables;
+-------------------+
| Tables in db_user |
+-------------------+
| data_dictionary |
| users |
| user_address |
+-------------------+
3 rows in set (0.00 sec)mysql> select * from users;
Empty set (0.14 sec)mysql>
mysql> INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('1', '张1', '13611111111', '31', '2', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.40 sec)mysql> INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('2', '王二', '13622222222', '32', '5', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.03 sec)mysql> INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('3', '李三', '13633333333', '33', '3', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.04 sec)mysql> INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('4', '赵四', '13644444444', '34', '1', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.09 sec)mysql> INSERT INTO `users`(userID,userName,phoneNum,age,ddID,createTime,lastUpdate) VALUES ('5', '田五', '13655555555', '35', '3', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.00 sec)
用Navicat查看数据
Mycat的users数据
再看host1和host2上面的数据users数据
66Master
88Slave
可以看到，已经按照我们制定的取模规则进行分片存储数据了。
ER表user_address
Mycat 上执行
insertdb_user_user_address.sql
INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('1', '张一', '深圳南山科技园', '1', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('2', '张一', '深圳龙华地铁站', '1', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('3', '王二', '长沙麓谷软件园', '2', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('4', '赵四', '长沙麓谷企业广场', '4', '2018-10-10 13:46:36', '2018-10-10 13:46:36');
INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('5', '李三', '深圳福田侨香', '3', '2018-10-10 13:46:36', '2018-10-10 13:46:36');
执行结果
mysql> INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('1', '张一', '深圳南山科技园', '1', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.03 sec)mysql> INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('2', '张一', '深圳龙华地铁站', '1', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.02 sec)mysql> INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('3', '王二', '长沙麓谷软件园', '2', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.03 sec)mysql> INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('4', '赵四', '长沙麓谷企业广场', '4', '2018-10-10 13:46:36', '2018-10-10 13:46:36');
Query OK, 1 row affected (0.02 sec)mysql> INSERT INTO `user_address`(addressID,receiver,addressDetail,userID,createTime,lastUPdate) VALUE ('5', '李三', '深圳福田侨香', '3', '2018-10-10 13:46:36', '2018-10-10 13:46:36');
Query OK, 1 row affected (0.01 sec)
用Navicat查看
Mycat上user_address数据
66Master上user_address数据
88Slave上user_address数据
全局表data_dictionary
mycat上插入数据
insertdb_user_data_dictionary.sql
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('1', '白银', 'BY', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('2', '黄金', 'HJ', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('3', '砖石', 'ZS', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('4', '大师', 'DS', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('5', '王者', 'WZ', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
执行结果
mysql> INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('1', '白银', 'BY', '2018-10-10 13:39:41', '2018-10-10 13:39:41');('2', '黄金', 'HJ', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('3', '砖石', 'ZS', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('4', '大师', 'DS', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('5', '王者', 'WZ', Query OK, 1 row affected (0.02 sec)mysql> INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('2', '黄金', 'HJ', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.05 sec)mysql> INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('3', '砖石', 'ZS', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.01 sec)mysql> INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('4', '大师', 'DS', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.01 sec)mysql> INSERT INTO `data_dictionary`(dataDictionaryID,displayName,value,createTime,lastUpdate) VALUE ('5', '王者', 'WZ', '2018-10-10 13:39:41', '2018-10-10 13:39:41');
Query OK, 1 row affected (0.02 sec)
Navicat查看数据
66Mycat上查看
66Master上查看data_dictionary
88Slave上查看data_dictionary
全局表每个节点的数据都一样
db_store测试
insert_db_store_store.sql
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (1, '深圳宝安区圣淘沙店', '宝安区圣淘沙骏园5栋18号商铺', '20170413101010', '20170413101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (2, '深圳罗湖区红宝路1店', '罗湖区红宝路112号', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (3, '深圳福田区梅华路店', '福田区上梅林梅华路上梅林菜场斜对面', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (5, '深圳宝安区富通苑店', '宝安区新安街道48区富通苑A栋115号', '20170413101010', '20170413101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (6, '深圳罗湖区海富花园店', '罗湖区深南东路海富花园福怡阁底层A8铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (7, '深圳龙岗区四季花城店', '龙岗区坂田四季花城B19号商铺', '20180131101010', '20180131101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (12, '深圳宝安区桃源居3店', '宝安区前进路桃源居48区', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (13, '深圳南山区学府店', '南山区后海大道西宏观苑商铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (14, '深圳福田区车公庙店', '福田区泰然工贸园四路105栋首层(泰康轩旁)', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (15, '深圳福田区金地店', '福田区金地一路金海丽名居102号商铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (16, '深圳罗湖区龙园山庄店', '罗湖区龙园山庄1栋102A', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (19, '深圳宝安区深业新岸线店', '宝安区深业新岸线2栋11号铺', '20170413101010', '20170413101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (20, '深圳宝安区风和日丽店', '宝安区龙华镇丰润花园13栋21号铺', '20171016101010', '20171016101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (22, '深圳南山区西海湾店', '南山区南商路西海湾花园单身公寓A4号商铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (23, '深圳南山区招商海月店', '南山区后海路招商海月花园24栋1-1', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (24, '深圳罗湖区布心店', '罗湖区布心村太白路1号', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (25, '深圳宝安区美丽365花园店', '宝安区龙华镇东环一路美丽365花园B2栋102商铺', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (27, '深圳宝安区天骄店', '宝安区天骄世家花园125#商铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (28, '深圳宝安区东源阁店', '宝安区龙华镇东环二路东源阁C区一栋112商铺', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (59, '深圳宝安区水斗富豪店', '宝安区龙华镇水斗富豪新村二巷8号', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (60, '深圳宝安区皇庭世纪店(停用)', '福田区皇岗村吉龙二村65号102铺', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (70, '深圳罗湖区松泉公寓店', '罗湖区太白路松泉公寓17栋1楼A011号', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (74, '深圳南山区现代城店', '南山区南光路现代华庭6栋1单元104号', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (78, '滨海之窗店(停)', NULL, '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (79, '深圳宝安区滢水山庄店', '宝安区滢水山庄二区8栋106', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (80, '深圳罗湖区莲塘国威店', '罗湖区莲塘国威路聚宝路182号', '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (82, '百乐汇店中店', NULL, '20170330101010', '20170330101010');
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INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (86, '深圳宝安区锦绣江南店', '宝安区民治街道锦绣江南B1148号商铺', '20171016101010', '20171016101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (87, '测试门店1', NULL, '20180926101010', '20180926101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (88, '深圳宝安区观澜格澜郡店', '宝安区观澜街道观澜郡一期A02号商铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (89, '深圳龙岗区东大街1店', '龙岗区布吉东大街中翠花园111铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (90, '深圳福田区丽阳天下店', '福田区石厦路缔馨园裙楼111号铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (91, '深圳宝安区桃源居2店(停)', '深圳市宝安区前进路桃源居118号铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (92, '深圳福田区沙嘴2店(停)', '福田区', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (93, '深圳龙岗区丽湖花园店', '深圳市龙岗区丽湖花园湖彩阁9号铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (94, '深圳宝安区龙泉花园店', '宝安区龙华龙泉花园A14号铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (95, '深圳罗湖区中兴路店', '罗湖区中兴路103号商铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (96, '深圳龙岗区东大街2店', '龙岗区布吉东大街桂芳园7区29栋D102铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (97, '深圳罗湖区莲塘聚福路店', '罗湖区莲塘聚福路鹏兴花园56栋114铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (98, '深圳南山区东滨路店', '南山区东滨路蛇口兰园大厦15A', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (99, '深圳福田区国都高尔夫花园店', '福田区新沙路国都高尔夫花园翠逸阁1层107C号', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (100, '东莞市中信凯旋城', '东莞市东城区火炼树怡丰都市广场怡祥阁B2铺', '20180223180232', '20180223180232');
执行不贴了
Navicat查看数据
Mycat上
66Master上
88Slave上
insertdb_store_employee.sql
insert employee (employeeID,userName,phoneNum,age,createTime,lastUpdate ) value (1,"张三","13611111111",21,'2018-10-10 11:31:23','2018-10-10 11:31:23');
insert employee (employeeID,userName,phoneNum,age,createTime,lastUpdate ) value (2,"李四","13622222222",22,'2018-10-10 11:31:23','2018-10-10 11:31:23');
insert employee (employeeID,userName,phoneNum,age,createTime,lastUpdate ) value (3,"王五","13633333333",23,'2018-10-10 11:31:23','2018-10-10 11:31:23');
insert employee (employeeID,userName,phoneNum,age,createTime,lastUpdate ) value (4,"赵六","13644444444",24,'2018-10-10 11:31:23','2018-10-10 11:31:23');
insert employee (employeeID,userName,phoneNum,age,createTime,lastUpdate ) value (5,"田七","13655555555",25,'2018-10-10 11:31:23','2018-10-10 11:31:23');
Navicat查看数据
66Mycat上
66Master上
88Slave上
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