Illustrating Docker Volume Concepts

Introduction

In this lab, we will illustrate the concept of volume. We will see how to use volume

• in a Dockerfile
• at runtime with the -v option
• using the volume API

We will also see what is bind-mounting on a simple example.

Skills Graph

Data Persistency without a Volume

We will first illustrate how data is not persisted outside of a container by default.

Let's run an interactive shell within an alpine container named c1.

docker run --name c1 -it alpine sh

We will create the /data folder and a dummy hello.txt file in it.

mkdir /data && cd /data && touch hello.txt

We will then check how the read-write layer (container layer) is accessible from the host.

Let exit the container first.

exit

Let's inspect our container in order to get the location of the container's layer.
We can use the inspect command and then scroll into the output until the GraphDriver key, like the following.

docker inspect c1

Or we can directly use the Go template notation and get the content of the GraphDriver keys right away.

docker inspect -f "{{ json .GraphDriver }}" c1

You should then get an output like the following (the ID will not be the same though)

{
    "Data": {
        "LowerDir": "/var/lib/docker/overlay2/55922a6b646ba6681c5eca253a19e90270e3872329a239a82877b2f8c505c9a2-init/diff:/var/lib/docker/overlay2/30474f5fc34277d1d9e5ed5b48e2fb979eee9805a61a0b2c4bf33b766ba65a16/diff",
        "MergedDir": "/var/lib/docker/overlay2/55922a6b646ba6681c5eca253a19e90270e3872329a239a82877b2f8c505c9a2/merged",
        "UpperDir": "/var/lib/docker/overlay2/55922a6b646ba6681c5eca253a19e90270e3872329a239a82877b2f8c505c9a2/diff",
        "WorkDir": "/var/lib/docker/overlay2/55922a6b646ba6681c5eca253a19e90270e3872329a239a82877b2f8c505c9a2/work"
    },
    "Name": "overlay2"
}

From our host, if we inspect the folder which path is specified in UpperDir, we can see our /data and the hello.txt file we created are there.

Try the below command, to see the contents of the /data folder:

sudo ls /var/lib/docker/overlay2/<YOUR_ID>/diff/data

What happen if we remove our c1 container now ? Let's try.

docker rm c1

It seems the folder defined in the UpperDir above does not exist anymore. Do you confirm that ? Try running the ls command again and see the results.

This shows that data created in a container is not persisted. It's removed with the container's layer when the container is deleted.

Defining a Volume in a Dockerfile

We will now see how volumes come into the picture to handle the data persistency.

We will start by creating a Dockerfile based on alpine and define the /data as a volume.
This means that anything written by a container in /data will be persisted outside of the Union filesystem.

Create a file called Dockerfile with the following content

FROM alpine
VOLUME ["/data"]
ENTRYPOINT ["/bin/sh"]

Note: we specify /bin/sh as the ENTRYPOINT so that if no command is provided in interactive mode we will end up in a shell inside our container.

Let's build an image from this Dockerfile.

docker build -t img1 .

We will then create a container in interactive mode (using -it flags) from this image and name it c2.

docker run --name c2 -it img1

We should then end up in a shell within the container. From there, we will go into /data and create a hello.txt file.

cd /data
touch hello.txt
ls

Open another terminal or use the Control-P / Control-Q combination for this.

Use the following command to make sure it's still running.

docker ps

Note: the container, named c2, should be listed there.

We will now inspect this container in order to get the location of the volume (defined on /data) on the host.
We can use the inspect command and then scroll into the output until we find the Mounts key...

docker inspect c2

Or we can directly use the Go template notation and get the content of the Mounts keys right away.

docker inspect -f "{{ json .Mounts }}" c2

You should then get an output like the following (the ID will not be the same though)

[
    {
        "Destination": "/data",
        "Driver": "local",
        "Mode": "",
        "Name": "2f5b7c6b77494934293fc7a09198dd3c20406f05272121728632a4aab545401c",
        "Propagation": "",
        "RW": true,
        "Source": "/var/lib/docker/volumes/2f5b7c6b77494934293fc7a09198dd3c20406f05272121728632a4aab545401c/_data",
        "Type": "volume"
    }
]

This output shows that the volume defined in /data is stored in /var/lib/docker/volumes/2f5...01c/_data on the host (removing part of the ID for a better readability).

Copy your own path (the one under the Source key) and make sure the hello.txt file we created (from within the container) is there.

We now remove the c2 container.

docker stop c2 && docker rm c2

Check that the folder defined under the Source key is still there and contains hello.txt file.

From the above, we can see that a volume bypasses the union filesystem and is not dependent on a container's lifecycle.

Defining a Volume at Runtime

We have seen volume defined in a Dockerfile, we will see they can also be defined at runtime using the -v flag of the docker run command.

Let's create a container from the alpine image, we'll use the -d option so it runs in background and also define a volume on /data as we've done previously.

The container is ran that way:

docker run --name c3 -d -v /data alpine sh -c 'ping 8.8.8.8 > /data/ping.txt'

Let's inspect the container and get the Mounts key using the Go template notation.

docker inspect -f "{{ json .Mounts }}" c3

We have pretty much the same output as we had when we defined the volume in the Dockerfile.

[
  {
    "Type": "volume",
    "Name": "af621cde2717307e5bf91be850c5a00474d58b8cdc8d6e37f2e373631c2f1331",
    "Source": "/var/lib/docker/volumes/af621cde2717307e5bf91be850c5a00474d58b8cdc8d6e37f2e373631c2f1331/_data",
    "Destination": "/data",
    "Driver": "local",
    "Mode": "",
    "RW": true,
    "Propagation": ""
  }
]

If we use the folder defined in the Source key, and check the content of the ping.txt within the /data folder, we get something similar to the following.

sudo tail -f /var/lib/docker/volumes/OUR_ID/_data/ping.txt
64 bytes from 8.8.8.8: seq=34 ttl=37 time=0.462 ms
64 bytes from 8.8.8.8: seq=35 ttl=37 time=0.436 ms
64 bytes from 8.8.8.8: seq=36 ttl=37 time=0.512 ms
64 bytes from 8.8.8.8: seq=37 ttl=37 time=0.487 ms
64 bytes from 8.8.8.8: seq=38 ttl=37 time=0.409 ms
64 bytes from 8.8.8.8: seq=39 ttl=37 time=0.438 ms
64 bytes from 8.8.8.8: seq=40 ttl=37 time=0.477 ms
...

The ping.txt file is updated regularly by the command running in the c3 container.

Stopping and removing the container will obviously stop the ping command but the /data/ping.txt file will still be there. Give it a try :

Usage of the Volume API

The volume API introduced in Docker 1.9 enables to perform operations on volume very easily.

First have a look at the commands available in the volume API.

docker volume --help

We will start with the create command, and create a volume named html.

docker volume create --name html

If we list the existing volume, our html volume should be the only one.

docker volume ls

The output should be something like

DRIVER              VOLUME NAME
[other previously created volumes]
local               html

In the volume API, like for almost all the other Docker's API, there is an inspect command. Let's use it against the html volume.

docker volume inspect html

The output should be the following one.

[
    {
        "Driver": "local",
        "Labels": {},
        "Mountpoint": "/var/lib/docker/volumes/html/_data",
        "Name": "html",
        "Options": {},
        "Scope": "local"
    }
]

The Mountpoint defined here is the path on the Docker host where the volume can be accessed. We can note that this path uses the name of the volume instead of the auto-generated ID we saw in the example above.

We can now use this volume and mount it on a specific path of a container. We will use a Nginx image and mount the html volume onto /usr/share/nginx/html folder within the container.

Note: /usr/share/nginx/html is the default folder served by nginx. It contains 2 files: index.html and 50x.html

docker run --name www -d -p 8080:80 -v html:/usr/share/nginx/html nginx

Note: we use the -p option to map the nginx default port (80) to a port on the host (8080). We will come back to this in the lesson dedicated to the networking.

From the host, let's have a look at the content of the volume.

sudo ls /var/lib/docker/volumes/html/_data

The content of the /usr/share/nginx/html folder of the www container has been copied into the /var/lib/docker/volumes/html/\_data folder on the host.

Let's have a look at the nginx's welcome page{:data-term=".term1"}{:data-port="8080"}

Mount Host's Folder into a Container

The last item we will talk about is named bind-mount and consist of mounting a host's folder into a container's folder. This is done using the -v option of the docker run command. Instead of specifying one single path (as we did when defining volumes) we will specified 2 paths separated by a column.

docker run -v HOST_PATH:CONTAINER_PATH [OPTIONS] IMAGE [CMD]

Note: HOST_PATH and CONTAINER_PATH can be a folder or file. None of the Paths have to exist before starting the Container as they will be created automatically during the start.

1st case

Let's run an alpine container bind mounting the local /tmp folder inside the container /data folder.

docker run -it -v /tmp:/data alpine sh

We end up in a shell inside our container. By default, there is no /data folder in an alpine distribution. What is the impact of the bind-mount ?

ls /data

The /data folder has been created inside the container and it contains the content of the /tmp folder of the host. We can now, from the container, change files on the host and the other way round.

2nd case

Let's run a nginx container bind mounting the local /tmp folder inside the /usr/share/nginx/html folder of the container.

docker run -it -v /tmp:/usr/share/nginx/html nginx bash

Are the default index.html and 50x.html files still there in the container's /usr/share/nginx/html folder ?

ls /usr/share/nginx/html

No ! The content of the container's folder has been overridden with the content of the host folder.

Bind-mounting is very usefull in development as it enables, for instance, to share source code on the host with the container.

Summary

Congratulations! You have completed the Docker Volumes lab. You can practice more labs in LabEx to improve your skills.