


## To `mysql_close()` or Not? Is Explicit MySQL Link Closure Necessary in PHP?
MySQL Link Management: Is mysql_close() Essential?
The question of whether mysql_close() is necessary has been a long-standing topic of discussion among PHP developers.
Documentation Clarification
According to the official MySQL documentation, "Using mysql_close() isn't usually necessary, as non-persistent open links are automatically closed at the end of the script's execution."
Automatic Closure Triggers
This statement implies that there is a trigger within PHP that automatically closes MySQL links when the script execution ends. This is typically the case for non-persistent connections, which are the default type of connection established by mysql_connect().
Why Not Close Links?
Closing MySQL links manually with mysql_close() may seem like a good practice, but it is not strictly required. The automatic closure mechanism ensures that all active links are closed when the script finishes executing.
Advantages of Manual Closure
While manual closure is not essential, it can provide some benefits:
- Explicit Control: Calling mysql_close() explicitly provides clear control over link closure, ensuring it occurs even in abnormal script termination scenarios.
- Resource Management: Closing links explicitly can help prevent memory leaks and keep your PHP processes leaner.
Personal Recommendation
Although automatic closure is the norm, some developers prefer the peace of mind that comes with manually closing links. This ensures consistent resource management and eliminates any doubts about outstanding connections.
The above is the detailed content of ## To `mysql_close()` or Not? Is Explicit MySQL Link Closure Necessary in PHP?. 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



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
