mysql用时3s插入10万条数据

目标效果

实现向数据库中添加如下数据，inside_code的范围为（00001-99999）

代码

package cn.edu.nwsuaf.sheep2.utils;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.Date;

/**
 * Created by hx on 2018/8/11.
 */

public class InsertInsideCode {
    public static void main(String[] args) throws ClassNotFoundException, SQLException {
        final String url = "jdbc:mysql://127.0.0.1/sheep2";
        final String name = "com.mysql.jdbc.Driver";
        final String user = "root";
        final String password = "";
        Connection conn = null;
        Class.forName(name);//指定连接类型
        conn = DriverManager.getConnection(url, user, password);//获取连接
        if (conn!=null) {
            System.out.println("获取连接成功");
            insert(conn);
        }else {
            System.out.println("获取连接失败");
        }

    }
    public static void insert(Connection conn) {
        // 开始时间
        Long begin = new Date().getTime();
        // sql前缀
        String prefix = "INSERT INTO sheep_inside_code (id,inside_code) VALUES ";
        try {
            // 保存sql后缀
            StringBuffer suffix = new StringBuffer();
            // 设置事务为非自动提交
            conn.setAutoCommit(false);
            // 比起st，pst会更好些
            PreparedStatement pst = (PreparedStatement) conn.prepareStatement("");//准备执行语句
            // 外层循环，总提交事务次数
            for (int i = 1; i <= 5; i++) {
                suffix = new StringBuffer();
                // 第j次提交步长
                if(i == 1) {
                    for (int j = 1; j < 10; j++) {
                        // 构建SQL后缀
                        suffix.append("(" + j+","+"'0000" +j+"'),");
                    }
                }else if(i == 2) {
                    for (int j = 10; j < 100; j++) {
                        // 构建SQL后缀
                        suffix.append("(" + j+","+"'000" +j+"'),");
                    }
                }else if(i == 3) {
                    for (int j = 100; j < 1000; j++) {
                        // 构建SQL后缀
                        suffix.append("(" + j+","+"'00" +j+"'),");
                    }
                }else if(i == 4) {
                    for (int j = 1000; j < 10000; j++) {
                        // 构建SQL后缀
                        suffix.append("(" + j+","+"'0" +j+"'),");
                    }
                }else {
                    for (int j = 10000; j <= 99999; j++) {
                        // 构建SQL后缀
                        suffix.append("(" + j+","+"'" +j+"'),");
                    }
                }


                // 构建完整SQL
                String sql = prefix + suffix.substring(0, suffix.length() - 1);
                // 添加执行SQL
                pst.addBatch(sql);
                // 执行操作
                pst.executeBatch();
                // 提交事务
                conn.commit();
                // 清空上一次添加的数据
                suffix = new StringBuffer();
            }
            // 头等连接
            pst.close();
            conn.close();
        } catch (SQLException e) {
            e.printStackTrace();
        }
        // 结束时间
        Long end = new Date().getTime();
        // 耗时
        System.out.println("10万条数据插入花费时间 : " + (end - begin) / 1000 + " s");
        System.out.println("插入完成");
    }
}

代码修改自绝对干货，教你4分钟插入1000万条数据到mysql数据库表，快快进来