使用 YAML 配置

引入 Maven 依赖

<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>shardingsphere-jdbc-core</artifactId>
    <version>${shardingsphere.version}</version>
</dependency>

<!-- 使用 ZooKeeper 时，需要引入此模块 -->
<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>shardingsphere-cluster-mode-repository-zookeeper-curator</artifactId>
    <version>${shardingsphere.version}</version>
</dependency>

<!-- 使用 Etcd 时，需要引入此模块 -->
<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>shardingsphere-cluster-mode-repository-etcd</artifactId>
    <version>${shardingsphere.version}</version>
</dependency>

规则配置

以下示例将 ZooKeeper 作为配置中心和注册中心。

mode:
  type: Cluster
  repository:
    type: ZooKeeper
    props:
      namespace: governance_ds
      server-lists: localhost:2181
  overwrite: true

// 创建 ShardingSphereDataSource
DataSource dataSource = YamlShardingSphereDataSourceFactory.createDataSource(yamlFile);

使用 ShardingSphereDataSource

通过 YamlShardingSphereDataSourceFactory 工厂创建的 ShardingSphereDataSource 实现自 JDBC 的标准接口 DataSource。 可通过 DataSource 选择使用原生 JDBC，或JPA， MyBatis 等 ORM 框架。

以原生 JDBC 使用方式为例：

DataSource dataSource = YamlShardingSphereDataSourceFactory.createDataSource(yamlFile);
String sql = "SELECT i.* FROM t_order o JOIN t_order_item i ON o.order_id=i.order_id WHERE o.user_id=? AND o.order_id=?";
try (
        Connection conn = dataSource.getConnection();
        PreparedStatement ps = conn.prepareStatement(sql)) {
    ps.setInt(1, 10);
    ps.setInt(2, 1000);
    try (ResultSet rs = preparedStatement.executeQuery()) {
        while(rs.next()) {
            // ...
        }
    }
}