千万条数据批量插入数据库表
通过最简单的方式将批量数据插入数据库中，千万条记录导入时间用了100s，贴出来代码供大家参考学习。
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.Date;
/**
* @Author BlueFire
* @Date 2020/4/17 -22:13
*/
public class InsertTest {
public static void main(String[] args) throws ClassNotFoundException, SQLException {
final String url = "jdbc:mysql://127.0.0.1:3306/mooding?autoReconnect=true&useUnicode=true&characterEncoding=utf8&serverTimezone=Asia/Shanghai";
final String name = "com.mysql.jdbc.Driver";
final String user = "root";
final String password = "123456";
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);//批量插入数据
} 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 t_users (id,t_name,t_password,sex,description,pic_url,school_name,regist_date,remark) 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 <= 1000; i++) {
suffix = new StringBuffer();
// 第j次提交步长
for (int j = 1; j <= 10000; j++) {
// 构建SQL后缀
suffix.append("('" + System.currentTimeMillis()* j + "','" + i * j + "','123456'" + ",'男'" + ",'教师'" + ",'www.bbk.com'" + ",'XX大学'" + ",'" + "2016-08-12 14:43:26" + "','备注'" + "),");
}
// 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("1000万条数据插入花费时间 : " + (end - begin) / 1000 + " s");
System.out.println("插入完成");
}
}
com.mysql.jdbc.PacketTooBigException: Packet for query is too large (4232009 > 4194304). You can change this value on the server by setting the max_allowed_packet’ variable.
如果遇到这样报错报错，是因为数据默认的max_allowed_packet 只有4M太小了，需要手动更改。
set global max_allowed_packet = 50*1024*1024* ;--这是设置为50M
记住，设置好后重新登录数据库才能看的设置后的值
show VARIABLES like '%max_allowed_packet%'
作者：木不是丁
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