Mysql批量插入提高性能

通过使用addBatch（）和executeBatch（）这一对方法可以实现批量处理数据。

手动打开mysql批量插入的开关，性能才能表现出来，大家试试就知道啦。。

加上“?useServerPrepStmts=false&rewriteBatchedStatements=true ”

package com.xcfcky.demo;


import java.io.BufferedReader;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;

public class DbStoreHelper {  
	  
    private String insert_sql;  
    private String charset;  
    private boolean debug;  
  
    private String connectStr;  
    private String username;  
    private String password;  
  
    public DbStoreHelper() {  
        connectStr = "jdbc:mysql://localhost:3306/db_ip";  
         connectStr += "?useServerPrepStmts=false&rewriteBatchedStatements=true";  
        insert_sql = "INSERT INTO tb_ipinfos (iplong1,iplong2,ipstr1,ipstr2,ipdesc) VALUES (?,?,?,?,?)";  
        charset = "gbk";  
        debug = true;  
        username = "root";  
        password = "****";  
    }  
    private void doStore() throws ClassNotFoundException, SQLException, IOException {  
        Class.forName("com.mysql.jdbc.Driver");  
        Connection conn = DriverManager.getConnection(connectStr, username,password);  
        conn.setAutoCommit(false); // 设置手动提交  
        PreparedStatement psts = conn.prepareStatement(insert_sql);  
        String line = null; 
        
        //开始执行时间
        long begin = System.currentTimeMillis();
        
        for(int i=0; i<500000; i++){
          psts.setInt(1, i);
          psts.setInt(2, i);  
          psts.setString(3, i + "ipstr1");  
          psts.setString(4, i + "ipstr2");  
          psts.setString(5, i + "ipstr3");  
          psts.addBatch();          // 加入批量处理  
        }

        psts.executeBatch(); // 执行批量处理  
        conn.commit();  // 提交  
        
        System.out.println("共用去时间" + (System.currentTimeMillis() - begin));
        conn.close();  
    }  
    public static void main(String[] args) throws ClassNotFoundException, SQLException, IOException{
    	DbStoreHelper dbsh = new DbStoreHelper();
    	dbsh.doStore();
    }
}  


插入50万条数据只需要14秒，性能明显提高