mysql 水平拆分中间件

import org.apache.shardingsphere.api.config.sharding.ShardingRuleConfiguration;
import org.apache.shardingsphere.api.config.sharding.TableRuleConfiguration;
import org.apache.shardingsphere.shardingjdbc.api.ShardingDataSourceFactory;

import javax.sql.DataSource;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;

public class ShardingExample {
    public static void main(String[] args) throws Exception {
        // 配置分片规则
        ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration();
        TableRuleConfiguration tableRuleConfig = new TableRuleConfiguration("t_order", "ds${0..1}.t_order${0..1}");
        tableRuleConfig.setDatabaseShardingStrategyConfig(new InlineShardingStrategyConfiguration("user_id", "ds${user_id % 2}"));
        tableRuleConfig.setTableShardingStrategyConfig(new InlineShardingStrategyConfiguration("order_id", "t_order${order_id % 2}"));
        shardingRuleConfig.getTableRuleConfigs().add(tableRuleConfig);

        // 配置数据源
        Map<String, DataSource> dataSourceMap = new HashMap<>();
        dataSourceMap.put("ds0", createDataSource("ds0"));
        dataSourceMap.put("ds1", createDataSource("ds1"));

        // 创建ShardingDataSource
        Properties properties = new Properties();
        DataSource shardingDataSource = ShardingDataSourceFactory.createDataSource(dataSourceMap, shardingRuleConfig, properties);

        // 测试查询
        try (Connection conn = shardingDataSource.getConnection();
             Statement stmt = conn.createStatement();
             ResultSet rs = stmt.executeQuery("SELECT * FROM t_order WHERE user_id = 1")) {
            while (rs.next()) {
                System.out.println(rs.getString("order_id"));
            }
        }
    }

    private static DataSource createDataSource(String dsName) {
        // 创建数据源的逻辑，可以使用HikariCP、Druid等连接池
        return null;
    }
}