Operation method of inserting 10 million pieces of data into MySQL database table in 88 seconds

The database I used is the mysql database version 5.7

Prepare the database table by yourself first

In fact, when I inserted 10 million pieces of data, I encountered some problems. Now I will solve them first. 1 When I inserted 1 million pieces of data, I reported an error. The information of the console is as follows:

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.

The above error occurred because the configuration of max_allowed_packet of the database table was not configured large enough, because the default was 4M, and then I adjusted it to 100M and no error was reported

set global max_allowed_packet = 100*1024*1024* 

Remember, after setting, you can log in to the database again to see the set value

show VARIABLES like '%max_allowed_packet%'

The code is as follows:

package insert;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.util.Date;
import com.mysql.jdbc.PreparedStatement;
public class InsertTest {
   public static void main(String[] args) throws ClassNotFoundException, SQLException {
     final String url = "jdbc:mysql://127.0.0.1/teacher" ; 
     final String name = "com.mysql.jdbc.Driver" ; 
     final String user = "root" ; 
     final String password = "123456" ; 
     Connection conn = null ; 
     Class.forName(name); // Specify the connection type  
     conn = DriverManager.getConnection(url, user, password); // Get a connection  
     if (conn!= null ) {
       System.out.println( " Getting Connection Successfully " );
       insert(conn);
     } else {
       System.out.println( " Failed to get connection " );
     }
   }
   public static void insert(Connection conn) {
     //  Start time 
     Long begin = new Date().getTime();
     // sql Prefix 
     String prefix = "INSERT INTO t_teacher (id,t_name,t_password,sex,description,pic_url,school_name,regist_date,remark) VALUES " ;
     try {
       //  Save sql Suffix 
       StringBuffer suffix = new StringBuffer();
       //  Set transactions to non-automatic commit 
       conn.setAutoCommit( false );
       //  Compared to st , pst It will be better 
       PreparedStatement pst = (PreparedStatement) conn.prepareStatement( "" ); // Prepare the statement for execution 
       //  Outer loop, total number of committed transactions 
       for ( int i = 1 ; i <= 100 ; i++) {
         suffix = new StringBuffer();
         //  No. 1 j Submission step size 
         for ( int j = 1 ; j <= 100000 ; j++) {
           //  Build SQL Suffix 
           suffix.append( "('" + uutil.UUIDUtil.getUUID()+ "','" +i*j+ "','123456'" + ",' Male '" + ",' Teachers '" + ",'www.bbk.com'" + ",'XX University '" + ",'" + "2016-08-12 14:43:26" + "',' Remarks '" + ")," );
         }
         //  Build integrity SQL
         String sql = prefix + suffix.substring( 0 , suffix.length() - 1 );
         //  Add execution SQL
         pst.addBatch(sql);
         //  Perform an operation 
         pst.executeBatch();
         //  Commit transaction 
         conn.commit();
         //  Empty up 1 Added data for the second time 
         suffix = new StringBuffer();
       }
       //  First-class connection 
       pst.close();
       conn.close();
     } catch (SQLException e) {
       e.printStackTrace();
     }
     //  End time 
     Long end = new Date().getTime();
     //  Time consuming 
     System.out.println( "1000 Ten thousand pieces of data insertion takes time  : " + (end - begin) / 1000 + " s" );
     System.out.println( " Insert complete " );
   }
}

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