How to use docker data volume container

A Data Volume Container is a Docker container that stores and manages persistent data. Using a data volume container includes: 1. Create a data volume container; 2. Mount a data volume; 3. Use a data volume in the container. Advantages: persistence, shared data, backup and recovery; Disadvantages: performance, portability.

Use of Docker Data Volume Container

Data volume container is a special Docker container used to store and manage persistent data. Unlike normal containers, a data volume container does not store any data during its life cycle, but stores the data in a persistent location on the host file system. This helps ensure that data is retained even if the container is deleted or recreated.

Using Data Volume Container

1. Create a data volume container

Create a data volume container with the following command:

 <code>docker create -v /host-path:/container-path my-data-volume</code>

in:

• /host-path is the path to persistent data in the host file system.
• /container-path is the path to the data mount in the container.

2. Mount the data volume

To mount the data volume to a running container, use the -v flag:

 <code>docker run -v my-data-volume:/data my-app</code>

This will mount the data volume into the container under the /data directory.

3. Use data volumes

Data volumes can be used in containers like normal file systems. For example, you can read and write files, create directories, or run commands.

example

Suppose we have a directory /data/my-files containing text files. We can create a data volume container and mount it into the container using the following command:

 <code>docker create -v /data/my-files:/data my-data-volume docker run -v my-data-volume:/data my-app</code>

In the container, we can access files in the /data directory, for example:

 <code>cat /data/my-file.txt</code>

advantage

• Persistence: Data is saved on the host file system and data is not lost even if the container is deleted or recreated.
• Shared data: Multiple containers can mount the same data volume, allowing them to share data.
• Backup and Recovery: Data volume containers can be easily backed up and restored, which helps protect data.

shortcoming

• Performance: Storing data on a host file system may be less performant than storing it on a local volume inside a container.
• Portability: The data volume container is bound to the host file system, which may limit the portability of the container.

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