


Will too many TCP connections in Linux cause the program to hang?
Too many TCP connections in Linux will cause the program to hang. The situations are as follows: 1. The program exceeds the maximum number of file descriptors limited by the system, resulting in the inability to create new connections and even causing the program to crash; 2. Too many connections lead to insufficient memory, which in turn affects the normal operation of the program; 3. The CPU load is too high, causing the program's performance to decrease or even become unresponsive; 4. The network bandwidth or system resources are limited, which may cause connection timeouts, increased delays, or Problems such as packet loss may affect the normal operation of the program.
The operating system of this tutorial: Linux5.18.14 system, Dell G3 computer.
Too many TCP connections may cause the program to hang. When a program handles a large number of TCP connections, it may consume system resources, including memory, CPU, and network bandwidth. If the program does not manage these connections correctly or there are insufficient system resources, it may cause the program to crash or become unresponsive.
The following are some situations that may cause the program to hang:
File descriptor restrictions: Each TCP connection requires a file descriptor for management. In some operating systems, the number of file descriptors is limited. If the program exceeds the maximum number of file descriptors limited by the system, it will fail to create new connections and may even cause the program to crash.
Memory consumption: Each TCP connection needs to allocate certain memory resources to store connection status, buffer and other information. If the number of connections is too large, it may cause insufficient memory and affect the normal operation of the program.
CPU load: Handling a large number of TCP connections increases the load on the CPU, especially when performing heavy calculations or intensive data transfers. If the CPU load is too high, it may cause the program's performance to decrease or even become unresponsive.
Network bandwidth and throughput: When a program handles a large number of TCP connections, it may consume a large amount of network bandwidth and system resources. If network bandwidth or system resources are limited, it may cause problems such as connection timeout, increased latency, or packet loss, which will affect the normal operation of the program.
Therefore, in order to ensure the stability and reliability of the program, it is necessary to reasonably manage and limit the number of TCP connections, and optimize the program to ensure effective utilization of system resources.
The above is the detailed content of Will too many TCP connections in Linux cause the program to hang?. 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



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).

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)

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

Docker process viewing method: 1. Docker CLI command: docker ps; 2. Systemd CLI command: systemctl status docker; 3. Docker Compose CLI command: docker-compose ps; 4. Process Explorer (Windows); 5. /proc directory (Linux).

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

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.

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.
