Mycat分库分表案例demo
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
<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>
<dataNode name="db_store_dataNode" dataHost="db_storeHOST" database="db_store" />
<dataNode name="db_user_dataNode1" dataHost="db_userHOST1" database="db_user" />
<dataNode name="db_user_dataNode2" dataHost="db_userHOST2" database="db_user" />
<dataHost name="db_storeHOST" maxCon="1000" minCon="10" balance="1"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()heartbeat>
<writeHost host="hostM1" url="192.168.12.66:3306" user="root" password="123456">
<readHost host="hostS1" url="192.168.12.88:3306" user="root" password="123456" />
writeHost>
dataHost>
<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>
<writeHost host="userHost2" url="192.168.12.88:3306" user="root" password="123456">
writeHost>
dataHost>
mycat:schema>
server.xml
<mycat:server xmlns:mycat="http://io.mycat/">
<system>
<property name="useSqlStat">0property>
<property name="useGlobleTableCheck">0property>
<property name="sequnceHandlerType">2property>
<property name="processorBufferPoolType">0property>
<property name="handleDistributedTransactions">0property>
<property name="useOffHeapForMerge">1property>
<property name="memoryPageSize">1mproperty>
<property name="spillsFileBufferSize">1kproperty>
<property name="useStreamOutput">0property>
<property name="systemReserveMemorySize">384mproperty>
<property name="useZKSwitch">trueproperty>
system>
<user name="root">
<property name="password">123456property>
<property name="schemas">db_store,db_userproperty>
user>
mycat:server>
rule.xml
<mycat:rule xmlns:mycat="http://io.mycat/">
<tableRule name="rule1">
<rule>
<columns>idcolumns>
<algorithm>func1algorithm>
rule>
tableRule>
<tableRule name="rule2">
<rule>
<columns>user_idcolumns>
<algorithm>func1algorithm>
rule>
tableRule>
<tableRule name="sharding-by-intfile">
<rule>
<columns>sharding_idcolumns>
<algorithm>hash-intalgorithm>
rule>
tableRule>
<tableRule name="auto-sharding-long">
<rule>
<columns>idcolumns>
<algorithm>rang-longalgorithm>
rule>
tableRule>
<tableRule name="mod-long">
<rule>
<columns>idcolumns>
<algorithm>mod-longalgorithm>
rule>
tableRule>
<tableRule name="mod-userID-long">
<rule>
<columns>userIDcolumns>
<algorithm>mod-longalgorithm>
rule>
tableRule>
<tableRule name="sharding-by-murmur">
<rule>
<columns>idcolumns>
<algorithm>murmuralgorithm>
rule>
tableRule>
<tableRule name="crc32slot">
<rule>
<columns>idcolumns>
<algorithm>crc32slotalgorithm>
rule>
tableRule>
<tableRule name="sharding-by-month">
<rule>
<columns>create_timecolumns>
<algorithm>partbymonthalgorithm>
rule>
tableRule>
<tableRule name="latest-month-calldate">
<rule>
<columns>calldatecolumns>
<algorithm>latestMonthalgorithm>
rule>
tableRule>
<tableRule name="auto-sharding-rang-mod">
<rule>
<columns>idcolumns>
<algorithm>rang-modalgorithm>
rule>
tableRule>
<tableRule name="jch">
<rule>
<columns>idcolumns>
<algorithm>jump-consistent-hashalgorithm>
rule>
tableRule>
<function name="mod-long" class="io.mycat.route.function.PartitionByMod">
<property name="count">2property>
function>
<function name="murmur"
class="io.mycat.route.function.PartitionByMurmurHash">
<property name="seed">0property>
<property name="count">2property>
<property name="virtualBucketTimes">160property>
function>
<function name="crc32slot"
class="io.mycat.route.function.PartitionByCRC32PreSlot">
<property name="count">2property>
function>
<function name="hash-int"
class="io.mycat.route.function.PartitionByFileMap">
<property name="mapFile">partition-hash-int.txtproperty>
function>
<function name="rang-long"
class="io.mycat.route.function.AutoPartitionByLong">
<property name="mapFile">autopartition-long.txtproperty>
function>
<function name="func1" class="io.mycat.route.function.PartitionByLong">
<property name="partitionCount">8property>
<property name="partitionLength">128property>
function>
<function name="latestMonth"
class="io.mycat.route.function.LatestMonthPartion">
<property name="splitOneDay">24property>
function>
<function name="partbymonth"
class="io.mycat.route.function.PartitionByMonth">
<property name="dateFormat">yyyy-MM-ddproperty>
<property name="sBeginDate">2015-01-01property>
function>
<function name="rang-mod" class="io.mycat.route.function.PartitionByRangeMod">
<property name="mapFile">partition-range-mod.txtproperty>
function>
<function name="jump-consistent-hash" class="io.mycat.route.function.PartitionByJumpConsistentHash">
<property name="totalBuckets">3property>
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');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (4, '深圳福田区景田店', '福田区景田西住宅区七栋首层(民润超对面)', '20170330101010', '20170330101010');
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');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (8, '深圳南山区蔚蓝海岸店', '南山区登良路蔚蓝海岸商铺B09号', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (9, '深圳福田区中康路店', '福田区上梅林中康路梅林医院斜对面振业梅苑B栋110号', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (10, '深圳罗湖区松泉山庄店', '罗湖区太白路松泉山庄4栋6栋楼裙碧涟阁首层商场103-3号铺', '20170330101010', '20170330101010');
INSERT INTO `store` (`storeID`, `storeName`, `storeAddress`, `createTime`, `lastUpdate`) VALUES (11, '深圳福田区沙嘴店', '福田区沙嘴村1坊96号', '20170330101010', '20170330101010');
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');
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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 (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
