亚洲国产日韩欧美一区二区三区,精品亚洲国产成人av在线,国产99视频精品免视看7,99国产精品久久久久久久成人热,欧美日韩亚洲国产综合乱

Home Operation and Maintenance Linux Operation and Maintenance How to use Docker for data management and persistent storage

How to use Docker for data management and persistent storage

Nov 08, 2023 am 08:17 AM
docker Data management Persistent storage

How to use Docker for data management and persistent storage

How to use Docker for data management and persistent storage

Docker is a popular containerization platform that can help developers build, deliver and run more easily app. When using Docker, a common question is how to manage data and implement persistent storage. This article will introduce several common methods and specific code examples to help readers learn how to implement data management and persistent storage in Docker.

  1. Using data volumes

Docker provides a mechanism called data volumes (Volume), which can connect a part of the file system in the container with the host or other containers. association. By using data volumes, persistent storage of container data can be achieved.

First, create a data volume:

$ docker volume create mydata

Next, create a container and mount the data volume to the directory specified in the container:

$ docker run -d -v mydata:/data --name mycontainer myimage

In this way, the container The /data directory in will be associated with the mydata data volume. No matter how the container changes and is restarted, the data in the data volume will be retained.

  1. Use the host directory to mount

In addition to using data volumes, you can also directly mount the host directory into the container to achieve persistent storage of data.

First, create a data storage directory in the specified directory of the host:

$ mkdir /data

Next, create a container and mount the host directory to the directory specified in the container:

$ docker run -d -v /data:/data --name mycontainer myimage

In this way, the /data directory in the container will be associated with the /data directory of the host. Any changes to the /data directory in the container will be reflected directly in the host directory.

  1. Use Network File System (NFS)

If you need to achieve data sharing and persistent storage between multiple Docker hosts, you can use Network File System (NFS) .

First, install and configure the NFS server on the host:

$ apt-get install nfs-kernel-server
$ echo "/data *(rw,sync,no_subtree_check)" >> /etc/exports
$ exportfs -ra
$ service nfs-kernel-server restart

Next, install the nfs-utils tool on the Docker host:

$ apt-get install nfs-common

Then, create a container, And mount the NFS shared directory to the directory specified in the container:

$ docker run -d -v nfs-volume:/data --name mycontainer myimage

In the above code, nfs-volume is an NFS shared directory.

Through the above method, data can be shared and persisted between multiple Docker hosts.

Summary:

This article introduces several methods on how to use Docker for data management and persistent storage. Persistent storage and sharing of data in containers can be achieved by using data volumes, host directory mounts, and Network File System (NFS). These methods are relatively simple and easy to use, and you can choose the appropriate method according to the specific scenario.

Note: The above code examples are for demonstration purposes only and may be different from your actual environment. Please make appropriate modifications according to your actual situation.

The above is the detailed content of How to use Docker for data management and persistent storage. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

PHP Tutorial
1488
72
.NET Core Quick Start Tutorial 1. The beginning: Talking about .NET Core .NET Core Quick Start Tutorial 1. The beginning: Talking about .NET Core May 07, 2025 pm 04:54 PM

1. The Origin of .NETCore When talking about .NETCore, we must not mention its predecessor .NET. Java was in the limelight at that time, and Microsoft also favored Java. The Java virtual machine on the Windows platform was developed by Microsoft based on JVM standards. It is said to be the best performance Java virtual machine at that time. However, Microsoft has its own little abacus, trying to bundle Java with the Windows platform and add some Windows-specific features. Sun's dissatisfaction with this led to a breakdown of the relationship between the two parties, and Microsoft then launched .NET. .NET has borrowed many features of Java since its inception and gradually surpassed Java in language features and form development. Java in version 1.6

How to develop a complete Python Web application? How to develop a complete Python Web application? May 23, 2025 pm 10:39 PM

To develop a complete Python Web application, follow these steps: 1. Choose the appropriate framework, such as Django or Flask. 2. Integrate databases and use ORMs such as SQLAlchemy. 3. Design the front-end and use Vue or React. 4. Perform the test, use pytest or unittest. 5. Deploy applications, use Docker and platforms such as Heroku or AWS. Through these steps, powerful and efficient web applications can be built.

Docker vs. Kubernetes: Key Differences and Synergies Docker vs. Kubernetes: Key Differences and Synergies May 01, 2025 am 12:09 AM

Docker and Kubernetes are leaders in containerization and orchestration. Docker focuses on container lifecycle management and is suitable for small projects; Kubernetes is good at container orchestration and is suitable for large-scale production environments. The combination of the two can improve development and deployment efficiency.

How to view process information inside Docker container How to view process information inside Docker container May 19, 2025 pm 09:06 PM

There are three ways to view the process information inside the Docker container: 1. Use the dockertop command to list all processes in the container and display PID, user, command and other information; 2. Use dockerexec to enter the container, and then use the ps or top command to view detailed process information; 3. Use the dockerstats command to display the usage of container resources in real time, and combine dockertop to fully understand the performance of the container.

How to deploy a PyTorch app on Ubuntu How to deploy a PyTorch app on Ubuntu May 29, 2025 pm 11:18 PM

Deploying a PyTorch application on Ubuntu can be done by following the steps: 1. Install Python and pip First, make sure that Python and pip are already installed on your system. You can install them using the following command: sudoaptupdatesudoaptinstallpython3python3-pip2. Create a virtual environment (optional) To isolate your project environment, it is recommended to create a virtual environment: python3-mvenvmyenvsourcemyenv/bin/activatet

Performance Tuning of Jenkins Deployment on Debian Performance Tuning of Jenkins Deployment on Debian May 28, 2025 pm 04:51 PM

Deploying and tuning Jenkins on Debian is a process involving multiple steps, including installation, configuration, plug-in management, and performance optimization. Here is a detailed guide to help you achieve efficient Jenkins deployment. Installing Jenkins First, make sure your system has a Java environment installed. Jenkins requires a Java runtime environment (JRE) to run properly. sudoaptupdatesudoaptininstallopenjdk-11-jdk Verify that Java installation is successful: java-version Next, add J

Efficient operation method for batch stopping Docker containers Efficient operation method for batch stopping Docker containers May 19, 2025 pm 09:03 PM

An efficient way to batch stop a Docker container includes using basic commands and tools. 1. Use the dockerstop$(dockerps-q) command and adjust the timeout time, such as dockerstop-t30$(dockerps-q). 2. Use dockerps filtering options, such as dockerstop$(dockerps-q--filter"label=app=web"). 3. Use the DockerCompose command docker-composedown. 4. Write scripts to stop containers in order, such as stopping db, app and web containers.

How to compare the differences in different Docker image versions How to compare the differences in different Docker image versions May 19, 2025 pm 09:00 PM

There are two ways to compare the differences in different Docker image versions: 1. Use the dockerdiff command to view changes in the container file system; 2. Use the dockerhistory command to view the hierarchy difference in the image building. These methods help to understand and optimize image versioning.

See all articles