In Docker containers, files are usually not persisted, and methods are required to persist files: use data volumes, share the file system between containers, and files are retained after the container is stopped. Use Docker volumes, managed by Docker, similar to data volumes. Use local storage, for temporary storage only, data is lost after the container restarts. Using persistent storage, provided by third-party storage providers, persisting large data sets.
How to persist files in a Docker container
In Docker containers, files are usually not persisted, i.e., after the container is restarted, the files will be deleted. In order to persist files, there are several ways:
1. Use data volumes
A data volume is a persistent storage that can be used to share file systems between containers. When the container stops running, the files in the data volume will be retained. To use a data volume, you can use the -v
option to mount the directory on the host to the directory in the container when creating or running the container:
<code>docker run -v /host-path:/container-path image-name</code>
2. Using Docker volumes
Docker volumes are similar to data volumes, but they are managed by Docker rather than by the host file system. Create and mount Docker volumes into containers:
<code>docker volume create volume-name docker run -v volume-name:/container-path image-name</code>
3. Use local storage
For containers that only need to temporarily store data, local storage can be used. Local storage saves data in the container's file system, but it won't persist, i.e. data will be lost after the container restarts.
4. Use persistent storage
Persistent storage can be used for containers that need to persist in storing large data sets or important data. Persistent storage is provided by third-party storage providers such as Amazon EBS, Azure Blob Storage, or Google Cloud Storage. To use persistent storage, you need to create a persistent storage volume and mount it into a container.
Choosing the right method depends on the specific use case and data persistence requirements.
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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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