Home Backend Development PHP Tutorial Best practices for performance optimization in PHP programs

Best practices for performance optimization in PHP programs

Jun 06, 2023 am 09:20 AM
Performance optimization php program Best Practices

PHP is a popular programming language that is widely used for website and web application development. However, when PHP applications become more and more complex, performance issues also manifest themselves. Therefore, performance optimization has become an important aspect in PHP development. In this article, we will introduce optimization best practices in PHP programs to help you improve the performance of your applications.

1. Choose the correct PHP version and extension

First, make sure you are using the latest PHP version. New versions usually improve performance and fix bugs, while also introducing new features. When choosing PHP extensions, you should pay attention to choosing those with high performance and security. For example, use the OPcache extension to increase the execution speed of PHP scripts and the Libsodium extension to protect sensitive data. It's also important to understand the limitations of PHP's built-in functions and extensions, and how they behave at runtime.

2. Use appropriate caching technology

Using caching technology can reduce the response time of PHP applications, thereby improving performance. We can use in-memory caches such as Memcached and Redis, or use file caching technology on the server. By using caching technology, we can avoid repeated calculations and database queries, thereby greatly improving application performance.

3. Avoid unnecessary SQL queries

In PHP applications, database queries are usually the operations that take up the most time. Therefore, one must keep in mind to avoid unnecessary SQL queries. Use caching technology as much as possible to save query results to avoid wasting time again during the next query.

4. Use indexes and optimized queries

Indexes and optimized queries can greatly improve the performance of querying the database because it helps the database organize and retrieve data faster. You should add appropriate indexes to the columns of the database table and use appropriate query statements to reduce query time.

5. Avoid using the eval function

PHP’s eval function is a very powerful and flexible tool that can execute arbitrary PHP code strings. However, the eval function also reduces the performance of the application because it must parse the code and compile it into executable code. Therefore, avoid using eval function and use other alternatives to execute dynamic code.

6. Use appropriate data structures

When writing PHP code, you should consider using appropriate data structures. For example, when working with arrays, use array native functions to process data faster, and use foreach loops as appropriate. Using appropriate data structures can improve the efficiency of your code, thereby improving the performance of your application.

7. Avoid using global variables

PHP’s global variables can make variables available everywhere, but they will also make the code difficult to maintain and consume more memory. Instead, use passing parameters, static variables, or constants to make the code more structured, easier to manage, and optimize performance.

8. Use Gzip compression for transmission

Enabling Gzip compression can achieve data compression during transmission, reduce network transmission data and speed up loading. There are many ways to enable Gzip compression, either by setting server configuration or using PHP built-in functions.

Summary

Performance optimization of PHP programs is a long-term process that requires continuous improvement. By rationally using PHP versions, extensions and other tools to reduce the load on the application, we can improve its execution speed and adapt it to more user needs. In addition, attention should be paid to following code specifications and using good programming habits to further improve program performance. Finally, when optimizing your application, you also need to always focus on its maintainability and scalability, making the code easier to understand and adapt to future changes.

The above is the detailed content of Best practices for performance optimization in PHP programs. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Performance optimization and horizontal expansion technology of Go framework? Performance optimization and horizontal expansion technology of Go framework? Jun 03, 2024 pm 07:27 PM

In order to improve the performance of Go applications, we can take the following optimization measures: Caching: Use caching to reduce the number of accesses to the underlying storage and improve performance. Concurrency: Use goroutines and channels to execute lengthy tasks in parallel. Memory Management: Manually manage memory (using the unsafe package) to further optimize performance. To scale out an application we can implement the following techniques: Horizontal Scaling (Horizontal Scaling): Deploying application instances on multiple servers or nodes. Load balancing: Use a load balancer to distribute requests to multiple application instances. Data sharding: Distribute large data sets across multiple databases or storage nodes to improve query performance and scalability.

In-depth comparison: best practices between Java frameworks and other language frameworks In-depth comparison: best practices between Java frameworks and other language frameworks Jun 04, 2024 pm 07:51 PM

Java frameworks are suitable for projects where cross-platform, stability and scalability are crucial. For Java projects, Spring Framework is used for dependency injection and aspect-oriented programming, and best practices include using SpringBean and SpringBeanFactory. Hibernate is used for object-relational mapping, and best practice is to use HQL for complex queries. JakartaEE is used for enterprise application development, and the best practice is to use EJB for distributed business logic.

C++ Performance Optimization Guide: Discover the secrets to making your code more efficient C++ Performance Optimization Guide: Discover the secrets to making your code more efficient Jun 01, 2024 pm 05:13 PM

C++ performance optimization involves a variety of techniques, including: 1. Avoiding dynamic allocation; 2. Using compiler optimization flags; 3. Selecting optimized data structures; 4. Application caching; 5. Parallel programming. The optimization practical case shows how to apply these techniques when finding the longest ascending subsequence in an integer array, improving the algorithm efficiency from O(n^2) to O(nlogn).

The Way to Optimization: Exploring the Performance Improvement Journey of Java Framework The Way to Optimization: Exploring the Performance Improvement Journey of Java Framework Jun 01, 2024 pm 07:07 PM

The performance of Java frameworks can be improved by implementing caching mechanisms, parallel processing, database optimization, and reducing memory consumption. Caching mechanism: Reduce the number of database or API requests and improve performance. Parallel processing: Utilize multi-core CPUs to execute tasks simultaneously to improve throughput. Database optimization: optimize queries, use indexes, configure connection pools, and improve database performance. Reduce memory consumption: Use lightweight frameworks, avoid leaks, and use analysis tools to reduce memory consumption.

Nginx Performance Tuning: Optimizing for Speed and Low Latency Nginx Performance Tuning: Optimizing for Speed and Low Latency Apr 05, 2025 am 12:08 AM

Nginx performance tuning can be achieved by adjusting the number of worker processes, connection pool size, enabling Gzip compression and HTTP/2 protocols, and using cache and load balancing. 1. Adjust the number of worker processes and connection pool size: worker_processesauto; events{worker_connections1024;}. 2. Enable Gzip compression and HTTP/2 protocol: http{gzipon;server{listen443sslhttp2;}}. 3. Use cache optimization: http{proxy_cache_path/path/to/cachelevels=1:2k

Best practices for using C++ in IoT and embedded systems Best practices for using C++ in IoT and embedded systems Jun 02, 2024 am 09:39 AM

Introduction to Best Practices for Using C++ in IoT and Embedded Systems C++ is a powerful language that is widely used in IoT and embedded systems. However, using C++ in these restricted environments requires following specific best practices to ensure performance and reliability. Memory management uses smart pointers: Smart pointers automatically manage memory to avoid memory leaks and dangling pointers. Consider using memory pools: Memory pools provide a more efficient way to allocate and free memory than standard malloc()/free(). Minimize memory allocation: In embedded systems, memory resources are limited. Reducing memory allocation can improve performance. Threads and multitasking use the RAII principle: RAII (resource acquisition is initialization) ensures that the object is released at the end of its life cycle.

How to quickly diagnose PHP performance issues How to quickly diagnose PHP performance issues Jun 03, 2024 am 10:56 AM

Effective techniques for quickly diagnosing PHP performance issues include using Xdebug to obtain performance data and then analyzing the Cachegrind output. Use Blackfire to view request traces and generate performance reports. Examine database queries to identify inefficient queries. Analyze memory usage, view memory allocations and peak usage.

Performance optimization in Java microservice architecture Performance optimization in Java microservice architecture Jun 04, 2024 pm 12:43 PM

Performance optimization for Java microservices architecture includes the following techniques: Use JVM tuning tools to identify and adjust performance bottlenecks. Optimize the garbage collector and select and configure a GC strategy that matches your application's needs. Use a caching service such as Memcached or Redis to improve response times and reduce database load. Employ asynchronous programming to improve concurrency and responsiveness. Split microservices, breaking large monolithic applications into smaller services to improve scalability and performance.

See all articles