Best practices for cleaning Docker image repositories: Clean regularly to avoid redundant images accumulation; use tag classification mirrors to facilitate cleaning; consider using automation tools to simplify the cleaning process; be cautious when deleting images to ensure that the mirrors you are using are not deleted by mistake.
Docker image warehouse cleaning
Docker image repositories accumulate a lot of redundant or unused images over time, which can take up a lot of storage space and affect performance. Regular cleaning of mirrored warehouses is crucial to keep them efficient and optimized.
Cleaning method
There are several ways to clean the Docker image repository:
- Manually delete images: Use the
docker rmi
command to manually delete unnecessary images. - Clean up commands using the Docker client: Commands such as
docker image prune
anddocker image tag prune
are provided in the Docker client to automatically clean up unused images and tags. - Using third-party tools: There are a variety of third-party tools that can be used to automatically clean Docker image repositories, such as
docker-cleanup
,image-minimizer
, andpurge-docker
.
Detailed steps
Manually delete the image:
- Run the
docker images
command to list all images. - Determine the image to delete.
- Use the
docker rmi IMAGE_ID
command to delete the image.
Use the Docker client to clean up the command:
- Run
docker image prune --force
command to delete all unused images. - Run
docker image tag prune
command to delete the unrelated tags.
Use third-party tools:
- Install third-party tools.
- Run commands according to the tool's documentation to clean up the mirrored repository.
Best Practices
- Clean the mirror warehouse regularly to avoid accumulation of redundant mirrors.
- Use tags to classify images for easy cleaning.
- Consider using automation tools to simplify the cleaning process.
- When deleting images, be careful to make sure that the images you are using are not deleted.
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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".

The methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com

You can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).

Create a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]

Four ways to exit Docker container: Use Ctrl D in the container terminal Enter exit command in the container terminal Use docker stop <container_name> Command Use docker kill <container_name> command in the host terminal (force exit)

Methods for copying files to external hosts in Docker: Use the docker cp command: Execute docker cp [Options] <Container Path> <Host Path>. Using data volumes: Create a directory on the host, and use the -v parameter to mount the directory into the container when creating the container to achieve bidirectional file synchronization.

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database


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