Docker - building

Packages for image building

Depending on the underlying OS, there are different ways to build images.

Know your base system and their packages. Popular ones:

Update and upgrade packages

  • On Ubuntu/Debian:

apt-get update && apt-get upgrade -y

On RedHat compatible systems (CentOS, AlmaLinux, RockyLinux):

yum check-update && yum update -y

Search and install packages

  • On Ubuntu:

apt search libxml2
apt install -y libxml2-dev
  • On RedHat compatible systems:

yum search libxml2
yum install -y libxml2-devel.x86_64

Note

The -y option that we set for updating and for installing.

It is an important option in the context of Docker: it means that you answer yes to all questions regarding installation.

Building recipes

All commands should be saved in a text file, named by default Dockerfile.

Basic instructions

Each row in the recipe corresponds to a layer of the final image.

FROM: parent image. Typically, an operating system. The base layer.

FROM ubuntu:22.04

RUN: the command to execute inside the image filesystem.

Think about it this way: every RUN line is essentially what you would run to install programs on a freshly installed Ubuntu OS.

RUN apt install wget

A basic recipe:

FROM ubuntu:22.04

RUN apt update && apt -y upgrade
RUN apt install -y wget

docker build

Implicitly looks for a Dockerfile file in the current directory:

docker build .

Same as:

docker build --file Dockerfile .

Syntax: --file / -f

. stands for the context (in this case, current directory) of the build process. This makes sense if copying files from filesystem, for instance.

You can define a specific name for the image during the build process.

Syntax: -t imagename:tag. If not defined `:tag` default is latest.

docker build -t myubuntu .
# Same as:
docker build -t myubuntu:latest .

Warning

Avoid contexts (directories) over-populated with files (even if not actually used in the recipe). In order to avoid that some directories or files are inspected or included (e.g, with COPY command in Dockerfile), you can use .dockerignore file to specify which paths should be avoided. More information at: https://codefresh.io/docker-tutorial/not-ignore-dockerignore-2/

The last line of installation should be Successfully built …: then you are good to go.

Check with docker images that you see the newly built image in the list…

Then let’s check the ID of the image and run it!

docker images

docker run f9f41698e2f8
docker run myubuntu

More instructions

WORKDIR: all subsequent actions will be executed in that working directory

WORKDIR /root

ADD, COPY: add files to the image filesystem

Difference between ADD and COPY explained here and here

COPY: lets you copy a local file or directory from your host (the machine from which you are building the image)

ADD: same, but ADD works also for URLs, and for .tar archives that will be automatically extracted upon being copied.

If we have a file, let’s say `example.jpg`, we can copy it.

# COPY source destination
COPY example.jpg .

A more sophisticated case:

FROM ubuntu:22.04

RUN apt update && apt -y upgrade
RUN apt install -y wget

RUN mkdir -p /data

WORKDIR /data

COPY example.jpg .

CMD, ENTRYPOINT: command to execute when generated container starts

The ENTRYPOINT specifies a command that will always be executed when the container starts. The CMD specifies arguments that will be fed to the ENTRYPOINT

In the example below, when the container is run without an argument, it will execute echo "hello world". If it is run with the argument hello moon it will execute echo "hello moon"

FROM ubuntu:22.04
ENTRYPOINT ["/bin/echo"]
CMD ["hello world"]

A more complex recipe (save it in a text file named Dockerfile):

FROM ubuntu:22.04

RUN mkdir -p /downloads
WORKDIR /downloads

RUN apt-get update && apt-get -y upgrade
RUN apt-get install -y wget

ENTRYPOINT ["/usr/bin/wget"]
CMD ["https://upload.wikimedia.org/wikipedia/commons/7/77/Blue_Whale_Cartoon.jpg"]
# Modify f9f41698e2f8 with the image you get from `docker images`
docker run f9f41698e2f8 https://upload.wikimedia.org/wikipedia/commons/c/c7/Whale_Shark_AdF.jpg

Try with volumes!

Try the recipe above mounting downloads directory as a volume.

ENV, ARG: run and build environment variables

Difference between ARG and ENV explained here.

  • ARG values: available only while the image is built.

  • ENV values: available during the image build process and for future running containers.

    • It can be checked in a resulting running container by running env.

FROM ubuntu:22.04

# Define a build-time variable
ARG BUILD_VERSION=1.0

# Set an environment variable (available at build and run time)
ENV APP_ENV=production

# Use ARG in a build step
RUN echo "Build version is $BUILD_VERSION" > /build_version.txt

# Use ENV in a build step
RUN echo "App environment is $APP_ENV" > /app_env.txt

CMD ["bash"]

Build with:

docker build --build-arg BUILD_VERSION=2.5 -t env-arg-example .

Run and check environment:

docker run --rm env-arg-example env
  • APP_ENV will be visible in the running container.

  • BUILD_VERSION is only available during build steps.

Docker build exercise

  • Random numbers

  • Copy the following short bash script in a file called random_numbers.bash.

#!/usr/bin/bash
seq 1 1000 | shuf | head -$1

This script outputs random integers from 1 to 1000: the number of integers selected is given as the first argument.

  • Write a recipe for an image:

    • Based on almalinux:9

    • That will execute this script (with bash) when it is run, giving it 2 as a default argument (i.e. outputs 2 random integers): the default can be changed as the image is run.

    • Build the image.

    • Start a container with the default argument, then try it with another argument.

See also

You can create Conda-based Docker images as well by providing your custom environment.yml

Dockerfile

FROM mambaorg/micromamba:2.5
COPY --chown=$MAMBA_USER:$MAMBA_USER environment.yml /tmp/env.yaml
RUN micromamba install -y -n base -f /tmp/env.yaml && \
    micromamba clean --all --yes
RUN rm /tmp/env.yaml
ENV PATH=/opt/conda/bin:$PATH

environment.yml

name: base
channels:
  - conda-forge
dependencies:
  - python=3.10
  - numpy
  - matplotlib
  - scikit-learn

See also

Seqera, the company behind Nextflow, also provides a service of containers on demand based on Conda and Python packages.

Specify a default user

Instead of using root, this can be convenient for security issues. It can be an already existing one (check the distribution) or you can create one.

FROM ubuntu:24.04
RUN useradd -m myuser
USER myuser
WORKDIR /home/myuser 

docker tag

To tag a local image with ID “e23aaea5dff1” into the “ubuntu_wget” image name repository with version “1.0”:

docker tag e23aaea5dff1 ubuntu_wget:1.0

docker push

We upload our built container image into a registry. This way we can share among different users. Default is Docker Hub, but we can use other ones as well.

As an example, we are going to use GitLab Registry. We can use for sharing images to be used with the cluster.

_images/gitlab-deploy-container-registry.png _images/gitlab-deploy-container-registry-detail.png

We create a project on GitLab, and then we can use the GitLab Registry.

docker login gitlab.hpc.crg.es:5005

docker build -t gitlab.hpc.crg.es:5005/myusername/myproject -f Dockerfile .

docker push gitlab.hpc.crg.es:5005/myusername/myproject

Tip

GitHub also provides its own container registry. You can associate the resulting Docker image to its original code repository, for instance.

Additional docker commands

  • docker (image) inspect: Provide details of the running container or metadata about the image

  • docker commit: Turn a container into an image

  • docker save: Save an image to a tar archive

  • docker load: Load an image from a tar archive

  • docker export: Export a container’s filesystem as a tar archive (little used)

  • docker import: Import the contents from a tarball to create a filesystem image (little used)

Recommend workflow: If necessary, commit a Docker container into an image and then save it into a tar archive that can be shared and loaded in another machine.

Major clean

Check used space

docker system df

Remove unused containers (and others) - DO WITH CARE

docker system prune

Remove ALL non-running containers, images, etc. - DO WITH MUCH MORE CARE!!!

docker system prune -a

Warning

We will use some of the created Docker images in the next Singularity lesson, so you might not want to remove them now!

Warning

In $HOME/.docker directory, normally in $HOME/.docker/config.json, you can find the credentials we stored for the remote registry. We can remove that file as well at the end of the course.