PHP method to realize remote database disaster recovery and fault recovery

As modern enterprises pay more and more attention to information construction, data security and reliability have become one of the most important matters in enterprise work. Once a database fails, recovering data requires a lot of time and effort, and in some cases, the recovery effect is not ideal. Therefore, the introduction of remote database disaster recovery technology provides enterprises with a more reliable way to improve the efficiency and reliability of data backup and recovery.

As one of the most popular web programming languages, PHP can not only be used to write websites and applications, but can also implement off-site disaster recovery and fault recovery functions for databases. This article will introduce how PHP implements remote database disaster recovery.

1. Environment preparation

First, we need to prepare a MySQL database server, a Web server, and a backup server for storing database backup files. On the web server, a PHP language interpreter needs to be installed. In the next steps, we will use PHP's MySQL extension and the Shell_exec function to backup and restore the MySQL database.

2. Back up database files

In PHP, we can use the following code to back up the MySQL database:

$database_name = 'db_name'; // 数据库名称
$mysql_user = 'db_user'; // 用户名
$mysql_pass = 'db_pass'; // 密码
$backup_file = $database_name . date("Y-m-d") . '.sql'; // 备份文件名称

// 执行备份命令
$command = "mysqldump --opt --user={$mysql_user} --password={$mysql_pass} --default-character-set=utf8 {$database_name} > {$backup_file}";
shell_exec($command); // 执行命令

The above code uses the mysqldump command to back up the MySQL database. The name of the backup file is composed of the current backup date and the database name. After we execute this code, we can find the backup file in the current directory.

3. Restore the database from the backup file

In PHP, we can use the following code to restore the MySQL database from the backup file:

$database_name = 'db_name'; // 数据库名称
$mysql_user = 'db_user'; // 用户名
$mysql_pass = 'db_pass'; // 密码
$backup_file = 'db_name2018-10-23.sql'; // 备份文件名称

// 执行恢复命令
$command = "mysql --user={$mysql_user} --password={$mysql_pass} --default-character-set=utf8 {$database_name} < {$backup_file}";
shell_exec($command); // 执行命令

The above code uses mysql Command to restore MySQL database from backup file. The name of the recovery file should be the same as the backup file. After we execute this code, we can restore the MySQL database from the backup file.

4. Automatic backup script

In order to ensure the integrity and security of data during use, we need to use an automatic backup script. On Linux systems, you can use the cron tool to run this script regularly. The following is an example of an automatic backup script:

<?php
$database_name = 'db_name'; // 数据库名称
$mysql_user = 'db_user'; // 用户名
$mysql_pass = 'db_pass'; // 密码
$backup_dir = '/data/backups/mysql/'; // 备份目录

// 导出数据库
$backup_file = $backup_dir . $database_name . date("Y-m-d") . '.sql';
$command = "mysqldump --opt --user={$mysql_user} --password={$mysql_pass} --default-character-set=utf8 {$database_name} > {$backup_file}";
shell_exec($command);

// 删除过期备份
$expire_time = time() - 7*24*60*60; // 过期时间一周
foreach(scandir($backup_dir) as $file) {
    if(strpos($file, $database_name) !== false && filemtime($backup_dir . $file) < $expire_time) {
        unlink($backup_dir . $file);
    }
}

The above automatic backup script will be executed once every day at 1 am to back up the MySQL database and delete the backup files 7 days ago. According to your own needs, you can change the parameters of backup time and retention time.

5. Conclusion

This article introduces the method of using PHP to realize remote disaster recovery of the database. It mainly uses PHP's MySQL extension and Shell_exec function to back up and restore the MySQL database to ensure the data security. Reliability and security, and also introduces how to write automatic backup scripts to improve work efficiency. The above methods can help enterprises improve data backup and recovery efficiency and ensure data security and integrity.

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