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()) {
// ...
}
}
}
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