


How to achieve underlying optimization of MySQL: Advanced best practices for data backup and recovery
How to achieve underlying optimization of MySQL: Advanced best practices for data backup and recovery
Abstract:
MySQL is the most popular relational database management system in the world One, but in practical applications, data backup and recovery are very important. This article will introduce advanced best practices for data backup and recovery in MySQL underlying optimization, and provide specific code examples.
Introduction:
In the modern business environment, a large amount of important data is stored in the database. Therefore, effective data backup and timely recovery are very important in the face of hardware failure, human error, or other unforeseen circumstances. The underlying optimization of MySQL can provide better data backup and recovery performance, thereby ensuring the stable operation of the system.
1. Data backup
- Backup method
MySQL provides a variety of backup methods, including logical backup and physical backup. Logical backup exports data in the form of readable files, such as SQL statements, which can be achieved using themysqldump
tool. Physical backup directly copies the database file, which can be achieved by using themysqlpump
tool or copying the data file.
Logical backup is a common backup method. Its advantage is that it can be cross-platform and facilitate data migration and import. However, due to the need to parse and execute a large number of SQL statements during the backup and recovery process, the speed is relatively slow.
Physical backup directly copies the database files, which is faster. However, since the files are copied directly, they cannot be cross-platform and are not suitable for data migration and import.
- Regular backup
In order to ensure the integrity and timeliness of data backup, regular backup is required. You can use scheduled tasks to perform backup operations, such as using Crontab to regularly execute backup scripts.
The frequency of backing up data can be determined according to actual needs. Generally, you can choose daily backup, weekly backup or monthly backup. At the same time, you can set the backup time point according to the actual situation to avoid the impact of backup operations on normal business.
- Backup Storage
Backup data needs to be stored on reliable media so that it can be quickly restored when needed. You can choose to store backup data on local disk, network storage device or cloud storage.
For local disks, you can select multiple hard disks to store backup data to improve data reliability. For network storage devices or cloud storage, backup data can be transmitted over the network and stored in a distributed file system to provide highly available backup storage.
2. Data recovery
- Recovery process
When you need to restore data, you must first determine the integrity and validity of the backup file. You can verify it through the file hash value. test. Then, select the appropriate backup file for recovery operation.
Logical recovery is achieved by executing SQL statements. You can use the mysql
command line or SQL tools (such as MySQL Workbench) to execute the SQL statements in the backup file.
Physical recovery requires copying the backup file to the data directory, and then restarting the MySQL service so that it can recognize the backup file and perform data recovery.
- Recovery Verification
After the data recovery is completed, the data needs to be verified to ensure the integrity and correctness of the data. You can verify it by comparing the data before and after the backup, comparing the number of data rows, field values, index information, etc.
You can write scripts to automate the verification process, such as using Python to write a script to compare data from two databases and output the verification results.
Code example:
Logical backup script:
#!/bin/bash BACKUP_DIR="/path/to/backup" DB_NAME="your_database" DATE=$(date +%Y%m%d%H%M%S) BACKUP_FILE="${BACKUP_DIR}/${DB_NAME}_${DATE}.sql" mysqldump -u username -p password --databases ${DB_NAME} > ${BACKUP_FILE}
Physical backup script:
#!/bin/bash BACKUP_DIR="/path/to/backup" DB_DATA="/path/to/mysql/data" DATE=$(date +%Y%m%d%H%M%S) BACKUP_FILE="${BACKUP_DIR}/${DB_NAME}_${DATE}.tar.gz" tar -czvf ${BACKUP_FILE} ${DB_DATA}
Data recovery script:
#!/bin/bash RESTORE_FILE="/path/to/backup/your_database_20220101010101.sql" mysql -u username -p password < ${RESTORE_FILE}
Conclusion:
Through the advanced best practices of MySQL underlying optimization introduced in this article, more efficient and reliable data backup and recovery can be achieved. At the same time, reasonable selection of backup methods, regular backup and appropriate backup storage are also important steps to achieve data backup and recovery. Through effective data recovery processes and verification methods, the correctness and integrity of data recovery can be guaranteed.
Reference:
- MySQL official documentation - backup and recovery: https://dev.mysql.com/doc/refman/8.0/en/backup-and-recovery. html
- Geek Academy-MySQL backup and recovery: https://wiki.jikexueyuan.com/project/mysql-tutorial/backup-recovery.html
The above is the detailed content of How to achieve underlying optimization of MySQL: Advanced best practices for data backup and recovery. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.

Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.

How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.

One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app

To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.

Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.

Time complexity measures the execution time of an algorithm relative to the size of the input. Tips for reducing the time complexity of C++ programs include: choosing appropriate containers (such as vector, list) to optimize data storage and management. Utilize efficient algorithms such as quick sort to reduce computation time. Eliminate multiple operations to reduce double counting. Use conditional branches to avoid unnecessary calculations. Optimize linear search by using faster algorithms such as binary search.
