ShardingJdbc整合水平分库分表

server:
  port: 56081
  servlet:
    context-path: /sharding-jdbc-simple-demo
spring:
  application:
    name: sharding-jdbc-simple-demo
  http:
    encoding:
      enabled: true
      charset: utf-8
      force: true
  main:
    allow-bean-definition-overriding: true
  shardingsphere:
    datasource:
      #新增一个m2库
      names: m1,m2
      m1:
        type: com.alibaba.druid.pool.DruidDataSource
        driverClassName: com.mysql.jdbc.Driver
        url: jdbc:mysql://rm-xxxxxxxx.mysql.rds.aliyuncs.com:3306/order_db_1?useUnicode=true
        username: root
        password: 123456
      m2:
        type: com.alibaba.druid.pool.DruidDataSource
        driverClassName: com.mysql.jdbc.Driver
        url: jdbc:mysql://rm-xxxxxxxx.mysql.rds.aliyuncs.com:3306/order_db_2?useUnicode=true
        username: root
        password: 123456
    sharding:
      tables:
        t_order:
          # 分库策略，以user_id为分片键，分片策略为user_id % 2 + 1，user_id为偶数操作m1数据源，否则操作m2。
          databaseStrategy:
            inline:
              shardingColumn: user_id
              algorithmExpression: m$->{user_id % 2 + 1}
          # 指定t_order表的数据分布情况，配置数据节点
          actualDataNodes: m$->{1..2}.t_order_$->{1..2}
          tableStrategy:
            inline:
              shardingColumn: order_id
              algorithmExpression: t_order_$->{order_id % 2 + 1}
          # 指定t_order表的分片策略，分片策略包括分片键和分片算法
          keyGenerator:
            type: SNOWFLAKE
            column: order_id
    props:
      sql:
        show: true
mybatis:
  configuration:
    map-underscore-to-camel-case: true
swagger:
  enable: true
logging:
  level:
    root: info
    org.springframework.web: info
    com.topcheer.dbsharding: debug
    druid.sql: debug

 @Test
    public void testInsertOrder(){
        for(int i=1;i<20;i++){
            orderDao.insertOrder(new BigDecimal(i),2L,"SUCCESS");
        }
    }

    @Test
    public void testInsertOrder(){
        for(int i=1;i<20;i++){
            orderDao.insertOrder(new BigDecimal(i),3L,"SUCCESS");
        }
    }

 @Test
    public void testSelectOrderbyIds(){
        List<Long> ids = new ArrayList<>();
        ids.add(435548833548599296L);
        ids.add(435548901945114624L);

        List<Map> maps = orderDao.selectOrderbyIds(ids);
        System.out.println(maps);
    }