


PHP extension development series under Linux: 1. Preface_PHP Tutorial
Foreword
I have been developing PHP extensions for a while. I am learning and developing and summarizing at the same time. I am tired but happy at the same time.
Based on the principle that a good memory is worse than a bad writing, I decided to write down some issues in the development process to inspire others and make progress together.
Due to the limitations of personal level and written expression ability, it is inevitable that there will be errors and omissions, please point them out, thank you very much!
This series is developed under Linux and does not involve development under windows.
Get to the point:
First of all, What skills do individuals need to develop PHP extensions?
The above three points will not be explained in detail in the following series. If you don’t understand anything, you still need to learn it yourself.
Second, We must first think about why we want to develop PHP extensions. Is it because of personal interest and desire to improve skills, or because of work and business needs?
The former is personal interest, and interest is the best teacher. I hope you will continue to study with me.
If it’s the latter, there are some questions you need to think about first:
If you are used to the simple development and maintenance of PHP, you will feel uncomfortable facing the above problems. Therefore, I personally recommend developing extensions under the following circumstances:
Third, You need to understand that after the extension is developed, whether it can be used will be affected by at least the following aspects:
Easy solution:
Fourth, The development environment of this series is as follows:
OK, this is the end of the preface, ready to move on to the next article "PHP extension development series under Linux: 2. A typical extension development"

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



PHP uses MySQLi and PDO extensions to interact in database operations and server-side logic processing, and processes server-side logic through functions such as session management. 1) Use MySQLi or PDO to connect to the database and execute SQL queries. 2) Handle HTTP requests and user status through session management and other functions. 3) Use transactions to ensure the atomicity of database operations. 4) Prevent SQL injection, use exception handling and closing connections for debugging. 5) Optimize performance through indexing and cache, write highly readable code and perform error handling.

PHP is used to build dynamic websites, and its core functions include: 1. Generate dynamic content and generate web pages in real time by connecting with the database; 2. Process user interaction and form submissions, verify inputs and respond to operations; 3. Manage sessions and user authentication to provide a personalized experience; 4. Optimize performance and follow best practices to improve website efficiency and security.

The key differences between CentOS and Ubuntu are: origin (CentOS originates from Red Hat, for enterprises; Ubuntu originates from Debian, for individuals), package management (CentOS uses yum, focusing on stability; Ubuntu uses apt, for high update frequency), support cycle (CentOS provides 10 years of support, Ubuntu provides 5 years of LTS support), community support (CentOS focuses on stability, Ubuntu provides a wide range of tutorials and documents), uses (CentOS is biased towards servers, Ubuntu is suitable for servers and desktops), other differences include installation simplicity (CentOS is thin)

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

CentOS installation steps: Download the ISO image and burn bootable media; boot and select the installation source; select the language and keyboard layout; configure the network; partition the hard disk; set the system clock; create the root user; select the software package; start the installation; restart and boot from the hard disk after the installation is completed.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

CentOS has been discontinued, alternatives include: 1. Rocky Linux (best compatibility); 2. AlmaLinux (compatible with CentOS); 3. Ubuntu Server (configuration required); 4. Red Hat Enterprise Linux (commercial version, paid license); 5. Oracle Linux (compatible with CentOS and RHEL). When migrating, considerations are: compatibility, availability, support, cost, and community support.

How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).
