关于连接池详解(HikariCP、Druid)

import com.zaxxer.hikari.HikariConfig;
import com.zaxxer.hikari.HikariDataSource;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;

public class HikariCPExample {
    public static void main(String[] args) {
        // 创建 HikariCP 配置对象
        HikariConfig config = new HikariConfig();
        config.setJdbcUrl("jdbc:mysql://localhost:3306/mydb");
        config.setUsername("root");
        config.setPassword("password");
        config.setMaximumPoolSize(10); // 最大连接数
        config.setMinimumIdle(5); // 最小空闲连接数

        // 创建 HikariCP 数据源
        HikariDataSource dataSource = new HikariDataSource(config);

        try (Connection connection = dataSource.getConnection();
             Statement statement = connection.createStatement();
             ResultSet resultSet = statement.executeQuery("SELECT * FROM users")) {
            while (resultSet.next()) {
                System.out.println(resultSet.getString("username"));
            }
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            // 关闭数据源
            dataSource.close();
        }
    }
}

import com.alibaba.druid.pool.DruidDataSource;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;

public class DruidExample {
    public static void main(String[] args) {
        // 创建 Druid 数据源
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl("jdbc:mysql://localhost:3306/mydb");
        dataSource.setUsername("root");
        dataSource.setPassword("password");
        dataSource.setMaxActive(10); // 最大连接数
        dataSource.setMinIdle(5); // 最小空闲连接数

        try (Connection connection = dataSource.getConnection();
             Statement statement = connection.createStatement();
             ResultSet resultSet = statement.executeQuery("SELECT * FROM users")) {
            while (resultSet.next()) {
                System.out.println(resultSet.getString("username"));
            }
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            // 关闭数据源
            try {
                dataSource.close();
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    }
}