修改配置文件，配置文件中关键部分都有备注，可以结合JDBC-水平分片理解观看。

修改配置config-sharding.yaml

schemaName: sharding_db
# 数据源配置
dataSources:
  ds_user:
    url: jdbc:mysql://192.168.100.201:3301/db_user?serverTimezone=UTC&useSSL=false
    username: root
    password: 123456
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 50
    minPoolSize: 1
  ds_order0:
    url: jdbc:mysql://192.168.100.201:3310/db_order?serverTimezone=UTC&useSSL=false
    username: root
    password: 123456
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 50
    minPoolSize: 1
  ds_order1:
    url: jdbc:mysql://192.168.100.201:3311/db_order?serverTimezone=UTC&useSSL=false
    username: root
    password: 123456
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 50
    minPoolSize: 1
# 分片规则
rules:
- !SHARDING
  tables:
    t_user:
      actualDataNodes: ds_user.t_user

    t_order:
      actualDataNodes: ds_order${0..1}.t_order${0..1}  # 指定数据源
      databaseStrategy:  # 水平分库配置，按照user_id字段，alg_mod分片算法（下面有定义）
        standard:
          shardingColumn: user_id
          shardingAlgorithmName: alg_mod
      tableStrategy:     # 水平分表配置 ，按照order_no字段，alg_hash_mod分片算法（下面有定义）
        standard:
          shardingColumn: order_no
          shardingAlgorithmName: alg_hash_mod
      keyGenerateStrategy: # 主键采用雪花算法
        column: id
        keyGeneratorName: snowflake
        
    t_order_item:
      actualDataNodes: ds_order${0..1}.t_order_item${0..1}
      databaseStrategy:
        standard:
          shardingColumn: user_id
          shardingAlgorithmName: alg_mod
      tableStrategy:
        standard:
          shardingColumn: order_no
          shardingAlgorithmName: alg_hash_mod
      keyGenerateStrategy:
        column: id
        keyGeneratorName: snowflake

  bindingTables:
    - t_order,t_order_item  # 绑定表


  broadcastTables:  # 广播表，插入、更新操作会实时在所有节点上执行，查询只从一个节点获取
    - t_dict

  # 分片算法
  shardingAlgorithms:
    alg_inline_userid:
      type: INLINE
      props:
        algorithm-expression: server-order$->{user_id % 2}
    alg_mod:  # 取模算法，有两个节点
      type: MOD
      props:
        sharding-count: 2
    alg_hash_mod:  # 哈希取模，如果主键不是纯数字采用此算法，有两个节点
      type: HASH_MOD  
      props:
        sharding-count: 2
  
  keyGenerators:
    snowflake:
      type: SNOWFLAKE