Python practice: Create an efficient multi-process TCP server to easily handle concurrent requests!

This article introduces how to use Python to implement a multi-process TCP server, which can handle multiple client requests concurrently by assigning a process to each incoming client.

This article will explain in detail the implementation principles of the multi-process server and provide code examples for practical demonstration.

1. Introduction

In network programming, the server often needs to process multiple client requests at the same time. In order to improve the concurrent processing capability of the server, multi-process can be used to achieve it.

Python provides a multiprocessing module that allows you to easily create and manage multiple processes, thereby implementing a multi-process server.

This article will take the TCP server as an example to introduce how to use Python to implement a multi-process server and assign a process to each connected client for processing.

2. Implementation principle of multi-process server

The implementation principle of the multi-process server is to process the client's connection requests by creating multiple sub-processes.

When a new client connects, the server creates a new child process to handle the client's request, thereby achieving the ability to handle multiple clients concurrently.

The specific implementation steps are as follows:

• Create a main process, which is responsible for listening to the client's connection request.
• When a new client connection comes in, the main process accepts the connection and creates a new child process.
• The child process is responsible for communicating with the client and processing the client's requests.
• The main process continues to listen for connection requests from other clients and repeats steps 2 and 3.

3. Code Practice

The following is a code example of a simple multi-process TCP server:

 import socket import multiprocessing def handle_client(client_socket): # 处理客户端的请求while True: data = client_socket.recv(1024) if not data: break # 处理数据... client_socket.send(data) client_socket.close() def main(): # 创建TCP套接字server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.bind(('localhost', 8888)) server_socket.listen(5) while True: # 接受客户端的连接请求client_socket, addr = server_socket.accept() print('New client connected:', addr) # 创建一个新的子进程来处理客户端的请求p = multiprocessing.Process(target=handle_client, args=(client_socket,)) p.start() server_socket.close() if __name__ == '__main__': main()

In the above code, the handle_client function is used to process client requests.

Each child process will call this function to handle communication with the client.

The main function is the main function of the server, which creates a TCP socket and binds it to the local address and port.

Then, it continuously accepts client connection requests through a loop and creates a new child process to handle each incoming client.

4. Conclusion

This article introduces how to use Python to implement a multi-process TCP server and assign a process to each incoming client for processing.

By using multiple processes, the server can handle requests from multiple clients at the same time, improving the server's concurrent processing capabilities.

Using multiple processes can improve server performance to a certain extent, but you also need to pay attention to resource competition and synchronization issues between processes.

In actual applications, other technologies, such as thread pools and coroutines, can be combined to further improve the performance and stability of the server.