How to close redis in linux
In Linux, you can use the "Redis Shutdown" command to shut down the redis server. The syntax is "redis-cli shutdown"; an error is returned when the execution fails. No information is returned when the execution is successful. The connection between the server and the client is disconnected. When turned on, the client automatically exits.
#The operating environment of this tutorial: linux7.3 system, Dell G3 computer.
How to close redis in linux
1.redis introduction
(1) Redis is Remote Dictionary Server (remote data service ), an in-memory cache database developed by Italian antirez (Salvatore Sanfilippo).
(2) This software is written in C language, and its data model is key-value.
(3) It supports many stored calue types, including String (string), hash (hash), list (linked list), set (set), and Zset (ordered set).
(4) In order to ensure efficiency, data is cached in memory. It can also periodically write updated data to disk or write modification operations to appended record files.
2.redis features
1) High-speed reading of data (in-memory)
2) Reduce server burden
3) Has set calculation function (Better than ordinary databases and products of the same category)
4) Multiple data structures supported
3. Suitable for occasions and their advantages
1) [Sort Set] ranking list Application, take top n operations. For example, sina Weibo hot topics
2) [List] Get the latest N data or the latest data of a certain category
3) Calculator application
4) [Set 】SNS (social network site) to obtain common friends
5) [Set] Anti-attack system (IP judgment) and so on. For example: If you enter the wrong password multiple times, it will freeze.
To close Redis, use the command
# ./redis-cli shutdown
root@song-PC:~# cd /etc/redis/ root@song-PC:/etc/redis# ls dump.rdb redis-server.post-down.d redis-server.pre-down.d redis.conf redis-server.post-up.d redis-server.pre-up.d root@song-PC:/etc/redis# redis-server redis.conf
Related recommendations: "Linux Video Tutorial"
The above is the detailed content of How to close redis in linux. 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.

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.

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.
