Docker compose windows volume path

Docker Compose Volume Relative Path: A Guide

Docker compose is a powerful tool for managing multi-container Docker applications. One of the most important features of Docker compose is the ability to define volumes, which are shared directories that can be mounted into containers.

When defining volumes in Docker compose, you can use either absolute or relative paths. Absolute paths specify the full path to the volume on the host machine, while relative paths specify the path to the volume relative to the directory where the Docker compose file is located.

In this guide, we will discuss the pros and cons of using absolute and relative paths for Docker compose volumes. We will also provide some examples of how to use each type of path.

By the end of this guide, you will have a good understanding of how to use Docker compose volumes and you will be able to choose the right path type for your needs.

Absolute Paths

When you use an absolute path for a Docker compose volume, you are specifying the full path to the volume on the host machine. This can be useful if you want to make sure that the volume is always located in the same place on the host machine, regardless of where the Docker compose file is located.

For example, the following Docker compose file defines a volume named `data` with an absolute path:

version: ‘3’
services:
web:
image: nginx:latest
volumes:
– /data:/var/www/html

In this example, the volume `data` is mounted into the container at the path `/var/www/html`. This means that any files that are created in the `data` directory on the host machine will be accessible in the `/var/www/html` directory inside the container.

Relative Paths

When you use a relative path for a Docker compose volume, you are specifying the path to the volume relative to the directory where the Docker compose file is located. This can be useful if you want to make sure that the volume is always located in the same place relative to the Docker compose file, regardless of where the Docker compose file is located on the host machine.

For example, the following Docker compose file defines a volume named `data` with a relative path:

version: ‘3’
services:
web:
image: nginx:latest
volumes:
– data:/var/www/html

In this example, the volume `data` is mounted into the container at the path `/var/www/html`. This means that any files that are created in the `data` directory on the host machine will be accessible in the `/var/www/html` directory inside the container.

Choosing the Right Path Type

The best path type to use for a Docker compose volume depends on your specific needs. If you need to make sure that the volume is always located in the same place on the host machine, then you should use an absolute path. If you need to make sure that the volume is always located in the same place relative to the Docker compose file, then you should use a relative path.

html

Docker Compose Volume Relative Path Description Example
./data Mounts the current directory into the container
          volumes:
            - ./data:/data
        
../data Mounts the parent directory into the container
          volumes:
            - ../data:/data
        
/data Mounts the absolute path into the container
          volumes:
            - /data:/data
        

A Docker compose volume relative path is a path that is relative to the working directory of the Docker compose file. This means that the path will be interpreted as if it were located in the same directory as the Docker compose file, even if it is not.

For example, if you have a Docker compose file called `docker-compose.yml` in the directory `/home/user/my-project`, and you specify a volume with the path `./data`, the volume will be mounted at `/home/user/my-project/data` inside the container.

Relative paths are useful when you want to mount a volume from a directory that is located in the same directory as the Docker compose file. This is often the case when you are developing a project, and you want to mount the project’s source code directory as a volume inside the container.

How to use Docker compose volume relative paths?

To use a Docker compose volume relative path, simply specify the path relative to the working directory of the Docker compose file. For example:

version: “3”
services:
web:
image: nginx:latest
volumes:
– ./data:/data

In this example, the volume `./data` will be mounted at `/data` inside the container.

You can also use multiple relative paths in the same volume declaration. For example:

version: “3”
services:
web:
image: nginx:latest
volumes:
– ./data:/data
– ./logs:/logs

In this example, the volumes `./data` and `./logs` will be mounted at `/data` and `/logs` inside the container, respectively.

You can also use environment variables to specify relative paths. For example:

version: “3”
services:
web:
image: nginx:latest
volumes:
– ${PWD}/data:/data

In this example, the volume `${PWD}/data` will be mounted at `/data` inside the container.

Docker compose volume relative paths are a convenient way to mount volumes from directories that are located in the same directory as the Docker compose file. They are especially useful when you are developing a project, and you want to mount the project’s source code directory as a volume inside the container.

Here are some additional resources that you may find helpful:

  • [Docker compose documentation](https://docs.docker.com/compose/)
  • [Docker compose volume documentation](https://docs.docker.com/compose/compose-file/compose-file-v3/volume-declarations)
  • [Docker compose relative paths](https://docs.docker.com/compose/compose-file/compose-file-v3/working-directory-and-relative-paths)

3. Best practices for using Docker compose volume relative paths

Docker compose volume relative paths can be a powerful tool for managing your Docker containers. However, there are a few best practices you should follow to ensure that you use them effectively.

1. Use absolute paths when possible

Whenever possible, you should use absolute paths when specifying Docker compose volume mount points. This will make your configuration more portable and easier to manage. For example, the following configuration will mount the `/data` directory from the host machine into the `/data` directory of the container:

version: ‘3.7’
services:
web:
image: nginx:latest
volumes:
– /data:/data

2. Use named volumes

Named volumes are a more efficient way to manage Docker volumes than using bind mounts. When you use a named volume, Docker will create a persistent volume on the host machine and mount it into the container. This means that the data in the volume will persist even if the container is stopped or deleted.

To use a named volume, you need to create the volume first, then mount it into the container. For example, the following command will create a named volume called `data`:

docker volume create data

Once the volume has been created, you can mount it into a container using the following syntax:

volumes:
– data:/data

3. Use the `docker-compose up` command to create volumes

When you use the `docker-compose up` command to create your containers, Docker will automatically create any volumes that are specified in your compose file. This is a convenient way to create volumes, as you don’t need to worry about creating them manually.

4. Use the `docker-compose down` command to delete volumes

When you use the `docker-compose down` command to delete your containers, Docker will automatically delete any volumes that were created by those containers. This is a convenient way to clean up your volumes, as you don’t need to worry about deleting them manually.

5. Use the `docker volume ls` command to list volumes

The `docker volume ls` command can be used to list all of the volumes that are currently available on the host machine. This can be useful for troubleshooting problems with volumes or for identifying which volumes are being used by which containers.

6. Use the `docker volume inspect` command to inspect volumes

The `docker volume inspect` command can be used to inspect the details of a specific volume. This can be useful for troubleshooting problems with volumes or for getting information about the data that is stored in a volume.

7. Use the `docker volume prune` command to delete unused volumes

The `docker volume prune` command can be used to delete any unused volumes on the host machine. This can be useful for freeing up disk space or for removing volumes that are no longer needed.

4. Common problems with Docker compose volume relative paths

There are a few common problems that can occur when using Docker compose volume relative paths. These problems can be avoided by following the best practices outlined in the previous section.

1. Using relative paths with bind mounts

As mentioned in the previous section, you should avoid using relative paths with bind mounts. This is because bind mounts are not persistent, so the data in the mount point will be lost if the container is stopped or deleted.

2. Using relative paths with named volumes

You can use relative paths with named volumes, but you need to be careful not to specify a path that is outside of the volume. For example, the following configuration will fail because the `/etc/nginx/conf.d` directory is outside of the `data` volume:

version: ‘3.7’
services:
web:
image: nginx:latest
volumes:
– data:/data
command:
– nginx
– -c
– /etc/nginx/conf.d/default.conf

To fix this problem, you can either move the `/etc/nginx/conf.d` directory into the `data` volume or you can use an absolute path to the directory.

3. Forgetting to create volumes

One of the most common problems with Docker compose volume relative paths is forgetting to create the volumes before you start the containers. This can cause the containers to fail to start or to lose data.

To avoid this problem, you should always create the volumes before you start the containers. You can do this using the

Q: What is a Docker compose volume relative path?

A: A Docker compose volume relative path is a path that is relative to the directory where the Docker compose file is located. For example, if the Docker compose file is located in the `/home/user/my-app` directory, and you specify a volume path of `./data`, the volume will be created in the `/home/user/my-app/data` directory.

Q: Why should I use a Docker compose volume relative path?

A: There are a few reasons why you might want to use a Docker compose volume relative path. First, it makes it easier to move your Docker compose files around. If you change the location of your Docker compose file, the volumes will automatically be moved to the new location. Second, it can help to keep your Docker compose files organized. You can create a separate directory for each project, and then use relative paths to reference the volumes for each project.

Q: What are the limitations of using a Docker compose volume relative path?

A: There are a few limitations to using a Docker compose volume relative path. First, you cannot use a volume path that is outside of the directory where the Docker compose file is located. Second, you cannot use a volume path that contains a period (.).

Q: How do I create a Docker compose volume relative path?

A: To create a Docker compose volume relative path, simply specify the path relative to the directory where the Docker compose file is located. For example, the following code creates a volume named `data` in the `/home/user/my-app/data` directory:

version: ‘3.8’
services:
my-app:
image: my-app
volumes:
– ./data:/data

Q: What are some common problems with Docker compose volume relative paths?

A: There are a few common problems that can occur with Docker compose volume relative paths. First, if you move the Docker compose file to a new location, the volumes will not be moved with it. Second, if you delete the Docker compose file, the volumes will also be deleted. Third, if you change the name of the Docker compose file, the volumes will not be renamed.

Q: How can I avoid problems with Docker compose volume relative paths?

There are a few things you can do to avoid problems with Docker compose volume relative paths. First, make sure that you do not move the Docker compose file to a new location. Second, make sure that you do not delete the Docker compose file. Third, make sure that you do not change the name of the Docker compose file.

Q: What are some best practices for using Docker compose volume relative paths?

Here are a few best practices for using Docker compose volume relative paths:

  • Use a separate directory for each project.
  • Create a volumes directory in each project directory.
  • Use relative paths to reference the volumes in each project’s Docker compose file.
  • Make sure that you do not move the Docker compose files or delete the volumes directories.

    In this blog post, we discussed the concept of Docker compose volume relative paths. We learned that a relative path is a path that is expressed relative to the current working directory. We also learned that Docker compose uses relative paths by default. This means that when you specify a volume in a Docker compose file, you don’t need to specify the full path to the volume. You can simply specify the path relative to the directory where the Docker compose file is located.

We also discussed the advantages of using relative paths for Docker compose volumes. One advantage is that it makes it easier to move your Docker compose files around. If you move your Docker compose file to a different directory, the volumes will still be valid. You don’t need to update the paths to the volumes.

Another advantage of using relative paths for Docker compose volumes is that it makes it easier to share Docker compose files with others. When you share a Docker compose file, you don’t need to worry about the paths to the volumes. The other person can simply use the same relative paths that you used.

Overall, using relative paths for Docker compose volumes is a best practice. It makes it easier to move your Docker compose files around and share them with others.

Author Profile

Hatch, established in 2011 by Marcus Greenwood, has evolved significantly over the years. Marcus, a seasoned developer, brought a rich background in developing both B2B and consumer software for a diverse range of organizations, including hedge funds and web agencies.

Originally, Hatch was designed to seamlessly merge content management with social networking. We observed that social functionalities were often an afterthought in CMS-driven websites and set out to change that. Hatch was built to be inherently social, ensuring a fully integrated experience for users.

Now, Hatch embarks on a new chapter. While our past was rooted in bridging technical gaps and fostering open-source collaboration, our present and future are focused on unraveling mysteries and answering a myriad of questions. We have expanded our horizons to cover an extensive array of topics and inquiries, delving into the unknown and the unexplored.

Latest entries

I have a docker compose file for a website, which amongst a bunch of other containers for various purposes, includes a mysql database that will have persistent data. At the moment the compose file specifies a relative path for the data, e. Volume binding using docker compose on Windows. It seems mounting a host directory as a data volume with relative path to current host dir using docker-compose no longer works in Windows.

I used the relative path for volume. I do a docker — compose up. If I run docker volume inspect against the logdata volume , it will return the properties for that volume , including the mount point which is the physical path to the volume on the. Thanks for the quick response, and more insight.

When the value supplied is a relative path , it is interpreted as relative to the location of the Compose file. Compose builds and tags it with a generated name, and uses that image thereafter. Finally, how does one easily debug on Windows ,. The docker — compose. To delete a volume , we can run docker volume rm, followed by the name of the volume you want to delete. Now if I list the volumes, logdata is no longer there.

This will delete all volumes that are not mounted to a running or stopped container. So after doing this, I have learned that to persist the databases and to use docker — compose files I had to map the volume to the mountpoint of the docker volume. Does enyone know the solution for this ? This will bring up the Credentials dialog and you will need to provide your current Windows credentials. Ensure that you give it correctly.

Specify the path to a Compose file. If not provide Compose looks for a file named docker — compose. This variable supports multiple Compose files separated by a path separator (on Linux and macOS the path separator is :, on Windows it is ;). TIP 2: To increase the security in our system we can mount the volume as read-only if the container only needs to read the mounted files.

Define named volume with host mount in the docker compose file. With the docker — compose version and above out and about, one of the things that have been dropped is the volumes_from which was kind useful to share the volumes from one service with another. It was a nice feature for local development. Compose file version 3: Works with 1. Example: Hosting a Ghost CMS Website. Working with Compose is really straight-forward.

You write a yaml file describing your deployment and then run deploy it using the docker-compose cli. Let’s start with a simple Ghost CMS deployment. Create a directory called ComposeSamples and within it create a file called docker-compose. Wirhout sharing the drive, your files will not be mounted in your container at all. Docker-compose version 1. Volume drivers let you store volumes on remote hosts or cloud providers,.

Volumes work on both Linux and Windows containers.

Docker containers are an excellent way to test your application in a virtualized environment. However, these container runtimes can also be managed using Docker volumes which allow you to share data between two or more of them without the need for copying files back and forth. This tutorial will show how to create and manage Docker Volumes on Windows machines.

The “docker-compose volumes” is a tool that allows users to create and manage Docker volumes on Windows. The process for creating a volume is quite simple and straightforward, but the process for managing volumes can be difficult.

Docker volumes are the primary method of storing and using persistent data generated by Docker containers. Let’s look at how this works on Windows by looking at how to construct Docker volumes. You’ll also learn how to deal with them.

Matt McElreath, a TechSnips contributor, developed a video to accompany this blog article. Feel free to look at your watch or continue reading if you prefer text.

Persistent Data Storage

There are a variety of solutions for storing permanent data for containers. To begin, I’ll demonstrate how to utilize a bind mount. I’m now in the data folder on my C: drive. I have five text files in this folder, as you can see from the contents list.

C:data contains a number of text files.

If I want a container to have access to this folder, I can mount it when the container starts.

Let’s try running a container using docker run. I’m going to run this container interactively, then use the -V option. I’ll enter the path of my data folder here, followed by a colon, and then the location within the container where I’d want this folder to be mounted.

I’m going to use the C:shareddata folder for this. Then I’ll provide the Windows server core image and, once inside the container, I’ll declare that I want to execute PowerShell.

run docker -it -v c: microsoft/windowsservercore powershell data:c:shareddata

If I display the contents of C: now that I’m within the new container, I can see that I have a shareddata folder.

In a Docker container, listing directory contents

Let’s take a look inside that folder and see what’s within. Here are the links to my five test files on my container host.

Files on the server

In this folder, I may also create files that will be accessible to other containers or my container host. Let’s create a file named containertest by running new item.

On the container host, create a file

The new file was generated from inside the container, as seen above. Now I’ll run exit from this container, which will shut it off.

You can check that there are presently no running containers by executing docker ps.

Containers that are currently in use

Data Counting in Docker Volumes

Let’s go through the contents of the data folder from my container host once again.

Files on the container host are listed.

We can view the new containertest file that was produced from inside the container. Bind mounts, on the other hand, have restricted functionality, hence volumes are the ideal method of achieving our goal. We can start using volumes using the same command we used to start a container, but with a few minor variations. Instead of using the path on the container hosts’ file system to provide the volume, I’m going to use the term hostdata as the name of the volume I want to build and utilize.

If I list the contents of C: from inside the new container, I can see that I have a folder named shareddata.

file listing

Because we established a blank disk, the contents of that folder are presently empty. Now press Ctrl-P-Q to exit the currently running container while keeping it running in the background.

Run docker volume ls from the container host. The current volumes on this container host will be listed. I have a volume named hostdata that was created when I used the docker run command to specify it.

Docker volumes are listed.

We can view our operating container if I run docker ps.

List of active containers

Docker stop will stop that container. We don’t have any containers operating right now.

Docker container shutdown

Run docker rm to remove the halted containers. You can see that the hostdata volume is still accessible and may be mounted to new containers if I list the volumes again.

Docker volumes are listed.

Docker Volumes Creation

The docker volume create command is another option for creating a volume. If you don’t give it a name, Docker will choose one for you from a huge list of random characters. If not, you may enter a name here. This volume will be known as logdata. When we list the volumes again, we can see that is now in the list.

New Docker volume creation

That will now be mounted to a new container. Docker run once again, this time specifying the volume you just built and mounting it to c:logdata.

> docker run -it -v logdata:c:logdata microsoft/windowsservercore powershell

Create a handful of files in the logdata folder from inside the container. There are currently no files in this directory, so create some immediately.

PS> New-Item -Name Log1.txt -ItemType File PS> New-Item -Name Log2.txt -ItemType File

In this directory, I now have two log files.

C:logdata contains two files.

To quit this container while it is still running, press Ctrl-P-Q again. Start a new container with the same volume mounted while that one is running.

> docker run -it -v logdata:c:logdata microsoft/windowsservercore powershell

The two log files are shared when we perform a listing on the logdata folder in the new container.

Containers have access to two log files.

Exit this container now. One operating container and two departed containers should still be present.

Two containers are still operational.

Stop all operating containers, then docker rm to delete all exiting ones.

Docker containers being removed

List the volumes once again. The logdata disk is still accessible for future containers to mount.

The quantity is still available.

You’ll see some use assistance with the command if you run docker volume.

Volume syntax in Docker

Docker Volumes Inspection

Let’s move on to inspect now that we’ve looked at create. When I run docker volume inspect on the logdata volume, it returns the volume’s characteristics, including the mount point, which is the container host’s physical path to the volume.

Docker Volumes Inspection

Let’s have a peek at that folder using Invoke-Item. There’s a data folder under the logdata folder. We may view the files that were produced from the container previously if we open that.

Earlier generated files

Docker Volumes Delete

To remove a volume, type docker volume rm followed by the volume name you wish to remove.

> docker volume rm logdata

Logdata is no longer there when I list the volumes.

Docker volumes are listed.

Finally, prune may be used to get rid of any unwanted local volumes. All volumes that are not mounted to a running or stopped container will be deleted.

Examining the prune option

Because you should exercise caution while using this command, there is a warning and a prompt to ensure that you are certain you want to proceed. It will show me which volumes were removed if I write Y and click enter.

You can see that all of my volumes have been removed if I list them again.

There are no Docker volumes.

Summary

You should have a decent understanding of how to manage Docker volumes on Windows after reading this blog article. Docker is an excellent container management system. You’ll be unstoppable with its Windows support and your newly acquired Docker volume management abilities!

The “docker volume create” is a command-line tool that allows users to create and manage Docker volumes on Windows. With this tool, you can also mount new volumes or attach existing ones to your containers. The “docker volume create” is installed by default with the Docker installation package.

Related Tags

  • docker-compose volumes example
  • docker volume windows
  • docker run -v
  • docker create volume in specific directory
  • dockerfile volume example

Description

On Windows, using Docker Compose V2, volumes specified using a relative path are not correctly mounted.

Steps to reproduce the issue:

  1. Create the following docker-compose.yml
services:
  demo-fail:
    image: busybox
    entrypoint: /bin/true
    volumes:
    - demo_volume:/tmp/demo-volume
volumes:
  demo_volume:
    driver: local
    driver_opts:
      type: none
      device: ./demo-volume
      o: bind
  1. Create the directory demo-volume next to the docker-compose.yml
  2. run docker compose up

Describe the results you received:

Mounting the volume fails with the error
Error response from daemon: error while mounting volume '/var/lib/docker/volumes/tinkerbox_demo_volume/_data': failed to mount local volume: mount demo-volume:/var/lib/docker/volumes/tinkerbox_demo_volume/_data, flags: 0x1000: no such file or directory

Describe the results you expected:
Volume is mounted correctly inside the docker container.

Additional information you deem important (e.g. issue happens only occasionally):
Using an absolute path, the volume is mounted as expected.
As opposed to Docker Compose V1, Docker Compose V2 on Windows does not resolve relative paths into absolute paths.
Using Docker Compose V1:

> docker volume inspect tinkerbox_demo_volume
[
    {
        "CreatedAt": "2021-11-12T10:36:51Z",
        "Driver": "local",
        "Labels": {
            "com.docker.compose.project": "tinkerbox",
            "com.docker.compose.version": "1.29.2",
            "com.docker.compose.volume": "demo_volume"
        },
        "Mountpoint": "/var/lib/docker/volumes/tinkerbox_demo_volume/_data",
        "Name": "tinkerbox_demo_volume",
        "Options": {
            "device": "C:\\ABSOLUTE\\PATH\\TO\\demo-volume",
            "o": "bind",
            "type": "none"
        },
        "Scope": "local"
    }
]

Using Docker Compose V2:

> docker volume inspect tinkerbox_demo_volume
[
    {
        "CreatedAt": "2021-11-12T10:37:59Z",
        "Driver": "local",
        "Labels": {
            "com.docker.compose.project": "tinkerbox",
            "com.docker.compose.version": "2.0.0",
            "com.docker.compose.volume": "demo_volume"
        },
        "Mountpoint": "/var/lib/docker/volumes/tinkerbox_demo_volume/_data",
        "Name": "tinkerbox_demo_volume",
        "Options": {
            "device": "./demo-volume",
            "o": "bind",
            "type": "none"
        },
        "Scope": "local"
    }
]

Output of docker compose version:

Docker Compose version v2.0.0

Output of docker info:

Client:
 Context:    default
 Debug Mode: false
 Plugins:
  buildx: Build with BuildKit (Docker Inc., v0.6.3)
  compose: Docker Compose (Docker Inc., v2.0.0)
  scan: Docker Scan (Docker Inc., v0.8.0)

Server:
 Containers: 2
  Running: 1
  Paused: 0
  Stopped: 1
 Images: 142
 Server Version: 20.10.8
 Storage Driver: overlay2
  Backing Filesystem: extfs
  Supports d_type: true
  Native Overlay Diff: true
  userxattr: false
 Logging Driver: json-file
 Cgroup Driver: cgroupfs
 Cgroup Version: 1
 Plugins:
  Volume: local
  Network: bridge host ipvlan macvlan null overlay
  Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
 Swarm: inactive
 Runtimes: io.containerd.runc.v2 io.containerd.runtime.v1.linux runc
 Default Runtime: runc
 Init Binary: docker-init
 containerd version: e25210fe30a0a703442421b0f60afac609f950a3
 runc version: v1.0.1-0-g4144b63
 init version: de40ad0
 Security Options:
  seccomp
   Profile: default
 Kernel Version: 5.4.72-microsoft-standard-WSL2
 Operating System: Docker Desktop
 OSType: linux
 Architecture: x86_64
 CPUs: 12
 Total Memory: 15.63GiB
 Name: docker-desktop
 ID: 5PON:NFXZ:GKCC:FXEA:NDR2:HM42:GO4Q:6HES:D5MR:RIE7:6SKY:SUMV
 Docker Root Dir: /var/lib/docker
 Debug Mode: false
 Registry: https://index.docker.io/v1/
 Labels:
 Experimental: false
 Insecure Registries:
  127.0.0.0/8
 Live Restore Enabled: false

WARNING: No blkio throttle.read_bps_device support
WARNING: No blkio throttle.write_bps_device support
WARNING: No blkio throttle.read_iops_device support
WARNING: No blkio throttle.write_iops_device support

Additional environment details:
Host OS: Windows 10, Version 20H2, Build 19042.1288

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