Shared data volumes allow multiple containers to access the same data. The steps include: creating a data volume, mounting the data volume to a container, and copying the same data volume to another container. Notes include: All changes to the container are immediately visible, with the same permissions, and compatibility. Example: Create a database file data volume, mount it to database and web containers, so that they can both access the database files.
How to share Docker data volumes
Introduction
In Docker, data volumes are used to persistently store data between containers and hosts. Shared data volumes allow multiple containers to access the same data.
Steps
In order to share a data volume, the following steps are required:
1. Create a data volume
Create a data volume using docker volume create
create command. For example:
<code>docker volume create shared-data</code>
2. Mount the data volume to the container
Use the -v
( --volume
) option to mount the data volume to the container. For example:
<code>docker run -v shared-data:/data my-image</code>
3. Copy the same data volume to another container
mount the same data volume to another container by using the -v
option again. For example:
<code>docker run -v shared-data:/data another-image</code>
Things to note
- All container changes to data are immediately visible when sharing a data volume.
- Make sure all containers have the same permissions to the data volume.
- Different containers may use different data formats, so verify compatibility before sharing data volumes.
Example
Suppose there are two containers, web
and database
. To share a data volume containing a database file, you can do the following:
- Create a data volume:
<code>docker volume create my-data</code>
- Mount the data volume to
database
container:
<code>docker run -v my-data:/var/lib/db my-database-image</code>
- Mount the same volume to the
web
container:
<code>docker run -v my-data:/var/www/html my-web-image</code>
Both web
and database
containers will now be able to access database files stored in my-data
data volumes.
The above is the detailed content of How to share docker data volumes. For more information, please follow other related articles on the PHP Chinese website!

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.

Docker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".


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

Dreamweaver Mac version
Visual web development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

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

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software