What should I do if the docker folder mapping fails?
How to solve the problem of unsuccessful docker folder mapping:
Docker container does not keep any data
Please use external volume storage for important data (data persistence ization)
Containers can mount real machine directories or shared storage as volumes
1. Host volume mapping
[root@docker1 ~]# mkdir /var/data [root@docker1 ~]# docker run -it -v /var/data:/abc myos [root@f1fb58b85671 /]# cd /abc/ [root@f1fb58b85671 abc]# touch f1 [root@f1fb58b85671 abc]# ls f1 zhy [root@docker1 ~]# cd /var/data/ [root@docker1 data]# ls f1 [root@docker1 data]# touch zhy
2. Use shared storage Mapping
Idea: Use one host as an nfs host, create the corresponding folder, and share it with two docker hosts. The two docker hosts will map the shared folder to In the container, the corresponding container can share the content of the nfs host. You can use this form for the corresponding page folders of http and other servers, so that multiple containers can run one business.
nfs主机配置【192.168.6.77】 [root@nfs ~]# yum -y install nfs-utils [root@nfs ~]# vim /etc/exports /public *(rw) [root@nfs ~]# systemctl restart nfs-server Failed to restart nfs-serve.service: Unit not found [root@nfs ~]# mkdir /public [root@nfs ~]# cd /public/ [root@nfs public]# touch nfs.txt [root@nfs public]# ls nfs.txt docker1主机配置 [root@docker1 ~]# vim /etc/fstab 192.168.6.77:/public /mnt/nfs nfs defaults,_netdev 0 0 [root@docker1 ~]# mkdir /mnt/nfs [root@docker1 ~]# systemctl restart nfs-server [root@docker1 ~]# mount -a [root@docker1 ~]# df -h 192.168.6.77:/public 17G 3.2G 14G 19% /mnt/nfs [root@docker1 ~]# docker run -it -v /mnt/nfs/:/zhuhaiyan 192.168.6.153:5000/myos [root@c7c376e3755a /]# cd /zhuhaiyan [root@c7c376e3755a zhuhaiyan]# ls nfs.txt docker2主机配置 [root@docker2 ~]# vim /etc/fstab 192.168.6.77:/public /mnt/nfs nfs defaults,_netdev 0 0 [root@docker2 ~]# mkdir /mnt/nfs [root@docker2 ~]# systemctl restart nfs-server [root@docker2 ~]# mount -a [root@docker2 ~]# df -h 192.168.6.77:/public 17G 3.2G 14G 19% /mnt/nfs [root@docker2 ~]# docker run -it -v /mnt/nfs/:/zhuhaiyan 192.168.6.153:5000/myos [root@cdd805771d07 /]# cd /zhuhaiyan/ [root@cdd805771d07 zhuhaiyan]# ls nfs.txt
Recommended tutorial: "docker video tutorial"
The above is the detailed content of What should I do if the docker folder mapping fails?. For more information, please follow other related articles on the PHP Chinese website!

Select Docker in a small project or development environment, and Kubernetes in a large project or production environment. 1.Docker is suitable for rapid iteration and testing, 2. Kubernetes provides powerful container orchestration capabilities, suitable for managing and expanding large applications.

Docker is important on Linux because Linux is its native platform that provides rich tools and community support. 1. Install Docker: Use sudoapt-getupdate and sudoapt-getinstalldocker-cedocker-ce-clicotainerd.io. 2. Create and manage containers: Use dockerrun commands, such as dockerrun-d--namemynginx-p80:80nginx. 3. Write Dockerfile: Optimize the image size and use multi-stage construction. 4. Optimization and debugging: Use dockerlogs and dockerex

Docker is a containerization tool, and Kubernetes is a container orchestration tool. 1. Docker packages applications and their dependencies into containers that can run in any Docker-enabled environment. 2. Kubernetes manages these containers, implementing automated deployment, scaling and management, and making applications run efficiently.

The purpose of Docker is to simplify application deployment and ensure that applications run consistently in different environments through containerization technology. 1) Docker solves the environmental differences problem by packaging applications and dependencies into containers. 2) Create images using Dockerfile to ensure that the application runs consistently anywhere. 3) Docker's working principle is based on images and containers, and uses the namespace and control groups of the Linux kernel to achieve isolation and resource management. 4) The basic usage includes pulling and running images from DockerHub, and the advanced usage involves managing multi-container applications using DockerCompose. 5) Common errors such as image building failure and container failure to start, you can debug through logs and network configuration. 6) Performance optimization construction

The methods of installing and using Docker on Ubuntu, CentOS, and Debian are different. 1) Ubuntu: Use the apt package manager, the command is sudoapt-getupdate&&sudoapt-getinstalldocker.io. 2) CentOS: Use the yum package manager and you need to add the Docker repository. The command is sudoyumininstall-yyum-utils&&sudoyum-config-manager--add-repohttps://download.docker.com/lin

Using Docker on Linux can improve development efficiency and simplify application deployment. 1) Pull Ubuntu image: dockerpullubuntu. 2) Run Ubuntu container: dockerrun-itubuntu/bin/bash. 3) Create Dockerfile containing nginx: FROMubuntu;RUNapt-getupdate&&apt-getinstall-ynginx;EXPOSE80. 4) Build the image: dockerbuild-tmy-nginx. 5) Run container: dockerrun-d-p8080:80

Docker simplifies application deployment and management on Linux. 1) Docker is a containerized platform that packages applications and their dependencies into lightweight and portable containers. 2) On Linux, Docker uses cgroups and namespaces to implement container isolation and resource management. 3) Basic usages include pulling images and running containers. Advanced usages such as DockerCompose can define multi-container applications. 4) Debug commonly used dockerlogs and dockerexec commands. 5) Performance optimization can reduce the image size through multi-stage construction, and keeping the Dockerfile simple is the best practice.

Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.


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

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

SublimeText3 Linux new version
SublimeText3 Linux latest version