shardingsphere分库分表集成多数据源

在ShardingSphere中集成多数据源，通常涉及以下步骤：

1. 配置多个数据源
2. 配置数据源之间的分片规则
3. 通过ShardingSphere API访问分片的数据源

以下是一个使用YAML配置文件的简单示例，演示如何配置两个数据源并进行分库分表：

shardingRule:
  tables:
    t_order:
      actualDataNodes: ds${0..1}.t_order_${0..1}
      databaseStrategy:
        standard:
          shardingColumn: user_id
          shardingAlgorithmName: database_inline
      tableStrategy:
        standard:
          shardingColumn: order_id
          shardingAlgorithmName: table_inline
  bindingTables:
    - t_order
  defaultDatabaseStrategy:
    standard:
      shardingColumn: user_id
      shardingAlgorithmName: database_inline
  defaultTableStrategy:
    none:
  shardingAlgorithms:
    database_inline:
      type: INLINE
      props:
        algorithm-expression: ds${user_id % 2}
    table_inline:
      type: INLINE
      props:
        algorithm-expression: t_order_${order_id % 2}
  dataSources:
    ds0:
      url: jdbc:mysql://localhost:3306/ds0
      username: root
      password: 
      type: com.zaxxer.hikari.HikariDataSource
      driver-class-name: com.mysql.jdbc.Driver
    ds1:
      url: jdbc:mysql://localhost:3306/ds1
      username: root
      password: 
      type: com.zaxxer.hikari.HikariDataSource
      driver-class-name: com.mysql.jdbc.Driver

在Java代码中，你可以使用ShardingSphere的API来配置和使用这些数据源：

// 读取YAML配置
InputStream yamlConfigStream = YourClass.class.getResourceAsStream("/shardingsphere.yaml");
YamlShardingRuleConfiguration yamlConfig = YamlShardingRuleConfiguration.convert(new Yaml(new Constructor(YamlShardingRuleConfiguration.class)).loadAs(yamlConfigStream, Map.class));
 
// 配置数据源
Map<String, DataSource> dataSourceMap = new HashMap<>();
dataSourceMap.put("ds0", DataSource0);
dataSourceMap.put("ds1", DataSource1);
 
// 配置分片规则
ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration(yamlConfig.getTables(), yamlConfig.getBindingTables(), yamlConfig.getBroadcastTables());
shardingRuleConfig.getShardingAlgorithms().putAll(yamlConfig.getShardingAlgorithms());
 
// 创建分片规则
ShardingRule shardingRule = ShardingRule.create(shardingRuleConfig, dataSourceMap);
 
// 获取分片数据源
ShardingDataSource shardingDataSource = new ShardingDataSource(shardingRule);

在这个例子中，DataSource0和\`Data