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This article mainly explains how to optimize SQL statements when MySQL inserts data in large quantities. The content of the explanation in the article is simple and clear, and it is easy to learn and understand. Please follow Xiaobian's train of thought to study and learn how to optimize SQL statements when MySQL inserts data in large quantities.

First, for Myisam-type tables, you can quickly import a large amount of data in the following ways.

ALTER TABLE tblname DISABLE KEYS

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ALTER TABLE tblname ENABLE KEYS

These two commands are used to turn on or off updates to non-unique indexes of the Myisam table. When importing a large amount of data into a non-empty Myisam table, you can improve the efficiency of import by setting these two commands. For importing a large amount of data into an empty Myisam table, the default is to import the data before creating the index, so there is no need to set it up.

Second, for Innodb-type tables, this approach does not improve the efficiency of importing data. For tables of type Innodb, we have the following ways to improve the efficiency of import:

① because the tables of Innodb type are saved in the order of primary keys, so arranging the imported data according to the order of primary keys can effectively improve the efficiency of importing data. If the Innodb table does not have a primary key, the system creates an internal column as the primary key by default, so if you can create a primary key for the table, you can take advantage of this advantage to improve the efficiency of importing data.

② executes SET UNIQUE_CHECKS=0 before importing data, turns off uniqueness check, executes SET UNIQUE_CHECKS=1 after import, and resumes uniqueness check, which can improve the efficiency of import.

If ③ uses autocommit, it is recommended to execute SET AUTOCOMMIT=0 before import, disable autocommit, execute SET AUTOCOMMIT=1 after import is over, and enable autocommit, which can also improve the efficiency of import.

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