


PHP-FPM performance optimization: Methods to improve website concurrent processing capabilities
PHP-FPM Performance Optimization: Methods to Improve the Concurrency Processing Capability of the Website
Overview:
In today’s Internet era, the number of concurrent visits to the website is increasing. , in order to meet the high concurrent traffic, it has become very important to improve the concurrent processing capability of the website. PHP-FPM (PHP-FastCGI Process Manager), as a high-performance PHP solution, can effectively improve the concurrent processing capabilities of the website. This article will introduce some PHP-FPM performance optimization methods and give specific code examples.
- Enable PHP-FPM process balancing
By default, PHP-FPM process balancing is disabled, which means that each request will start a new PHP -FPM process to handle. In order to improve the performance of PHP-FPM, you can enable process balancing and configure an appropriate process pool size. The following is an example php-fpm.conf configuration file:
[www] pm = dynamic pm.max_children = 100 pm.start_servers = 20 pm.min_spare_servers = 10 pm.max_spare_servers = 30
In the above configuration, pm.max_children
represents the maximum number of processes in the process pool, pm.start_servers
Represents the number of processes started at startup, pm.min_spare_servers
and pm.max_spare_servers
represent the minimum and maximum number of idle processes respectively. According to the actual situation, these parameters can be adjusted according to the performance and load of the server.
- Using PHP Cache
PHP caching can significantly improve the performance of the website. PHP caching allows the PHP script to cache the results after it is executed once, and directly return the cached results on the next request without the need to execute the PHP script again. This can save a lot of CPU and memory resources. The following is a sample code using the OPcache extension:
opcache.enable=1 opcache.memory_consumption=128 opcache.max_accelerated_files=10000 opcache.validate_timestamps=0
In the above configuration, opcache.enable
enables the OPcache extension, opcache.memory_consumption
specifies the memory used by OPcache Memory size, opcache.max_accelerated_files
specifies the number of script files that can be cached, opcache.validate_timestamps
controls whether to check the timestamp of the script file to determine whether to update the cache.
- Use asynchronous IO
PHP-FPM processes requests synchronously by default, that is, each request will be blocked and wait for the processing to complete before processing the next request. Using asynchronous IO can put it in the background when processing requests, thereby improving the concurrent processing capabilities of the website. The following is a sample code that uses the Swoole extension to implement asynchronous IO:
$server = new SwooleHttpServer("127.0.0.1", 9501, SWOOLE_BASE); $server->on("Request", function ($request, $response) { $response->header("Content-Type", "text/plain"); $response->end("Hello World "); }); $server->start();
The above code uses the Swoole extension to create a server based on the HTTP protocol and uses asynchronous IO to handle requests. This can greatly improve the performance of PHP-FPM.
Conclusion:
By enabling PHP-FPM process balancing, using PHP cache, and using asynchronous IO, the concurrent processing capabilities of the website can be significantly improved. It is necessary to select the appropriate method and configuration parameters based on the actual situation, and conduct reasonable testing and optimization. As a high-performance PHP solution, PHP-FPM can help websites cope with large traffic visits and improve user experience.
The above is the detailed content of PHP-FPM performance optimization: Methods to improve website concurrent processing capabilities. 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

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

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



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.

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).

By building mathematical models, conducting simulations and optimizing parameters, C++ can significantly improve rocket engine performance: Build a mathematical model of a rocket engine and describe its behavior. Simulate engine performance and calculate key parameters such as thrust and specific impulse. Identify key parameters and search for optimal values using optimization algorithms such as genetic algorithms. Engine performance is recalculated based on optimized parameters to improve its overall efficiency.

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.

Profiling in Java is used to determine the time and resource consumption in application execution. Implement profiling using JavaVisualVM: Connect to the JVM to enable profiling, set the sampling interval, run the application, stop profiling, and the analysis results display a tree view of the execution time. Methods to optimize performance include: identifying hotspot reduction methods and calling optimization algorithms

Program performance optimization methods include: Algorithm optimization: Choose an algorithm with lower time complexity and reduce loops and conditional statements. Data structure selection: Select appropriate data structures based on data access patterns, such as lookup trees and hash tables. Memory optimization: avoid creating unnecessary objects, release memory that is no longer used, and use memory pool technology. Thread optimization: identify tasks that can be parallelized and optimize the thread synchronization mechanism. Database optimization: Create indexes to speed up data retrieval, optimize query statements, and use cache or NoSQL databases to improve performance.

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

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.
