Why PHP programmers learn to use Swoole
This article mainly explains why PHP programmers learn to use Swoole. Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn why PHP programmers learn to use Swoole.
The self-introduction on the Swoole official website is "PHP Asynchronous Network Communication engine for production Environment". First of all, Swoole is a development tool for network applications, which supports Http, TCP, UDP and WebSocket.
There are differences between Swoole and our traditional PHP development, and there are concepts that need to be understood. Using some current Swoole-based framework development, from the development habits and the traditional TP, LV framework is not much different.
Then why use Swoole?
Yurun believes that there are the following points:
Resident in memory to avoid performance loss caused by repeated loading and improve massive performance
Cooperative process asynchronism to improve the concurrent processing ability of Istroke O-intensive scenarios (such as Wechat development, payment, login, etc.)
Convenient to develop Http, WebSocket, TCP, UDP and other applications, can communicate with hardware
PHP High performance Micro Service Architecture becomes a reality
Resident memory
At present, the traditional PHP framework has to do the operation of loading the framework file and configuration before processing each request. This may have become a major cause of performance problems, but there is no such problem with Swoole, which is used many times at a time.
Cooperative process
As shown in the figure below, this is a scenario in which the same thread handles concurrent requests. For example, you need to call other api APIs or read and write large files in an interface, which shows the advantages of traditional synchronous blocking and co-program asynchronism.
When it comes to collaborative processes, we have to briefly talk about processes and threads. It is well known that processes are very resource-intensive, and the loss must outweigh the gain in order to process a large number of requests to create processes. There are more multithreaded applications. At the CPU level, several cores will perform several tasks. Once more threads are created, there will be a loss of thread scheduling.
The co-program is implemented on a single-threaded basis, and it can maximize the use of CPU resources without wasting time waiting for IMab O. Of course, the more the number of cooperators, the more memory it takes, but this is acceptable and takes up relatively few resources compared to processes and threads.
When using a co-program, when you encounter scenarios such as reading and writing files and request interfaces, you will automatically suspend the co-program and give CPU to other co-programs to execute tasks, which can improve the utilization of CPU resources in a single thread, reduce waste, and improve performance.
Example of co-program code:
