How to optimize bulk data import using MySQL's bulk insert

How to use MySQL's batch insertion to optimize the import of large batches of data

1. Introduction
In actual development, we often need to import large batches of data into the MySQL database. The traditional insertion method one by one is inefficient and time-consuming, which will seriously affect system performance. In order to improve the efficiency of data import, we can handle the import of large batches of data by using MySQL's batch insertion optimization strategy.

2. Use MySQL batch insertion optimization skills

1. Use INSERT INTO...VALUES method to insert multiple rows of records
   In MySQL, we can use INSERT INTO... . VALUES method to insert multiple rows of records. This method can insert multiple rows of records at once instead of inserting them one by one.

The sample code is as follows:

INSERT INTO table_name (column1, column2, column3)
VALUES (value1, value2, value3),

   (value1, value2, value3),
   (value1, value2, value3),
   ...

2. Use LOAD DATA INFILE to import data files
   MySQL provides a LOAD DATA INFILE command that can directly import data from files into database tables. Compared with inserting data using INSERT INTO... VALUES, using LOAD DATA INFILE can import large batches of data more efficiently.

The sample code is as follows:

LOAD DATA INFILE 'path/to/file.csv'
INTO TABLE table_name
FIELDS TERMINATED BY ','
LINES TERMINATED BY '
';

3. Use REPLACE INTO instead of INSERT INTO
   If there may be duplicate records in the data to be imported, we can use REPLACE INTO instead of INSERT INTO, which will be automatically deleted old records and insert new records. This method can also improve the efficiency of data import.

The sample code is as follows:

REPLACE INTO table_name (column1, column2, column3)
VALUES (value1, value2, value3),

   (value1, value2, value3),
   (value1, value2, value3),
   ...

4. Optimize transaction processing of data import
   When importing large batches of data, you can consider placing the insertion operation in a transaction for processing. The transaction will ensure that all insert operations either succeed or are rolled back. This can effectively ensure data integrity and improve the efficiency of insertion operations.

The sample code is as follows:

START TRANSACTION;
INSERT INTO table_name (column1, column2, column3) VALUES (value1, value2, value3);
INSERT INTO table_name (column1, column2, column3) VALUES (value1, value2, value3);
...
COMMIT;

5. Set the appropriate transaction submission frequency
   Set the appropriate transaction submission Frequency can also improve the efficiency of data import to a certain extent. Committing too frequently will increase the overhead of transaction processing, while committing too little will result in transaction processing taking too long.

The sample code is as follows:

// Every time 1000 records are inserted, a transaction is submitted
START TRANSACTION;
...
IF (INSERT_COUNT % 1000 = 0) THEN

COMMIT;

END IF;
...

3. Summary
The above introduces how to use MySQL’s batch insertion optimization strategy to handle large batches of data import. question. In practical applications, the appropriate method can be selected according to specific needs, thereby improving the efficiency of data import. By rationally using batch insertion techniques, the load on the database can be reduced and the performance of the system can be improved.

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