SpringBoot2.1集成Sharding-JDBC实现分库分表实战（一）

SpringBoot2.1集成Sharding-JDBC实现分库分表是每个互联网企业必备的技术栈，今天我们开始分享一系列文章来详细分析：

1、引入核心jar：

          <dependency>
            <groupId>io.shardingsphere</groupId>
            <artifactId>sharding-jdbc-spring-boot-starter</artifactId>
             <version>3.1.0</version>
          </dependency>

2、核心配置文件：

sharding:
  jdbc:
    datasource:
      names: user0,user1
      user0:
        type: com.alibaba.druid.pool.DruidDataSource
        driverClassName: com.mysql.jdbc.Driver
        url: jdbc:mysql://127.0.0.1:3306/sys_db?useAffectedRows=true&allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=CTT&zeroDateTimeBehavior=convertToNull
        username: root
        password: 7cz.jXR3mycw
        initial-size: 10
        max-active: 100
        min-idle: 10
        max-wait: 60000
        pool-prepared-statements: true
        max-pool-prepared-statement-per-connection-size: 20
        time-between-eviction-runs-millis: 60000
        min-evictable-idle-time-millis: 300000
        validation-query: SELECT 1 FROM DUAL
        test-while-idle: true
        test-on-borrow: false
        test-on-return: false
        stat-view-servlet:
          enabled: true
          url-pattern: /druid/*
        filter:
          stat:
            log-slow-sql: true
            slow-sql-millis: 1000
            merge-sql: true
          wall:
            config:
              multi-statement-allow: true
      user1:
        type: com.alibaba.druid.pool.DruidDataSource
        driverClassName: com.mysql.jdbc.Driver
        url: jdbc:mysql://127.0.0.1:3306/u_db?useAffectedRows=true&allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=CTT&zeroDateTimeBehavior=convertToNull
        username: root
        password: 7cz.jXR3mycw
        initial-size: 10
        max-active: 100
        min-idle: 10
        max-wait: 60000
        pool-prepared-statements: true
        max-pool-prepared-statement-per-connection-size: 20
        time-between-eviction-runs-millis: 60000
        min-evictable-idle-time-millis: 300000
        validation-query: SELECT 1 FROM DUAL
        test-while-idle: true
        test-on-borrow: false
        test-on-return: false
        stat-view-servlet:
          enabled: true
          url-pattern: /druid/*
        filter:
          stat:
            log-slow-sql: true
            slow-sql-millis: 1000
            merge-sql: true
          wall:
            config:
              multi-statement-allow: true
    config:
      sharding:
        tables:
          user_info:
            actual-data-nodes: user$->{0..1}.user_info$->{0..1}
            database-strategy:   #分库策略
              inline: #行表达式
                sharding-column: gender        #列名称，多个列以逗号分隔
                algorithm-expression: user$->{gender % 2}    #按模运算分配
            table-strategy:  #分表策略
              inline: #行表达式
                sharding-column: user_id
                algorithm-expression: user_info$->{user_id % 2}
      props:
        sql:
          show: true #打印sql
        executor:
          size: 20

3、创建表结构、实体、mapper过程大概省略：

。。。自己创建普通的表

CREATE TABLE `tbl_user0` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `name` varchar(64) DEFAULT NULL COMMENT '名称',
  `city_id` int(12) DEFAULT NULL COMMENT '城市',
  `user_id` int(12) DEFAULT NULL COMMENT '用户id',
  `gender` tinyint(1) DEFAULT NULL COMMENT '性别',
  `phone` varchar(32) DEFAULT NULL COMMENT '电话',
  `email` varchar(32) DEFAULT NULL COMMENT '邮箱',
  `create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '创建时间',
  `password` varchar(32) DEFAULT NULL COMMENT '密码',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

4、执行插入的日志：

[http-nio-23888-exec-5] INFO  ShardingSphere-SQL - Actual SQL: user1 ::: insert into user_info0 ( user_id,name,id,...
      )
    values (?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, ?, 
      ?, ?, 
      ?, ?, ?, 
      ?, ?, ?,
      ?,?,?,?
      ) ::: [[ .........]]

user1数据中的 user_info0 表插入数据

5、执行查询的日志：类似的

如果分页查就去两个数据库查（没有user_id参数）；如果用user_id 就去一个库查询；

到此、单一的分库分表分享完毕，下期我们分享数据库中仅某张表进行分库分表，其他的不分，敬请期待。