Go language and MySQL database: How to clean up data archives?

As the business grows, the amount of data stored in the enterprise's database also continues to increase. If data archiving and cleaning are not performed, it will lead to database performance degradation, system crash and other problems. Therefore, it is crucial to properly handle data archiving and cleaning in the database.

This article will introduce how to use Go language and MySQL database for data archiving and cleaning. The following are the specific steps:

1. Database table design

First, create a new database table for archiving. We can migrate the data that needs to be deleted to this table for subsequent processing. In this new table, we need to store all the fields of the deleted data along with the name of the table to which the data belongs and the creation time of the data.

The structure is roughly as follows:

CREATE TABLE archive_table (
    id int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
    table_name varchar(200) NOT NULL COMMENT '被归档的原始表表名',
    created_at datetime DEFAULT NULL COMMENT '数据创建时间',
    -- 其他字段
    PRIMARY KEY (id),
    KEY created_at_index (created_at)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='归档表'

2. Determine archiving and cleanup strategies

Archiving and cleanup strategies need to be formulated based on business needs. Usually, enterprises need to save data for a certain period of time, and data beyond this time can be cleaned or archived.

For example, assuming that a user behavior log is stored in a table, we need to retain the data of the last month, and data older than one month can be archived or cleaned.

3. Writing a program

Now, we need to write a program using Go language to archive and clean the database. The main steps are as follows:

3.1 First, we need to write a SQL statement to select the data that needs to be deleted. According to the above strategy, we will select data older than a certain time.

SELECT * FROM target_table WHERE created_at < NOW() - INTERVAL N DAY

3.2 Insert these data into the archive table.

stmt, err := db.Prepare("INSERT INTO archive_table (table_name, created_at, ...) VALUES (?, ?, ...)")
if err != nil {
    log.Fatal(err)
}
defer stmt.Close()

_, err = stmt.Exec("target_table", created_at, ...)
if err != nil {
    log.Fatal(err)
}

3.3 Delete the data in the original table.

stmt, err = db.Prepare("DELETE FROM target_table WHERE created_at < NOW() - INTERVAL N DAY")
if err != nil {
    log.Fatal(err)
}
defer stmt.Close()

_, err = stmt.Exec()
if err != nil {
    log.Fatal(err)
}

4. Perform scheduled tasks

We write the above program as a scheduled task, for example, execute it once every morning. This ensures that expired data is automatically cleared every day.

So far, we have introduced how to use Go language and MySQL database for data archiving and cleaning. The advantage of this application design method is that applications developed using the Go language can efficiently operate the database, improve data processing efficiency, and reduce server pressure.

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