Commit 568ceb78 authored by Scott Wittenburg's avatar Scott Wittenburg
Browse files

Docker: Replace example shell scripts with actual documentation

parent 351d77cc
# Introduction
The goal of this document is to describe the `Dockerfile` in this directory and how to use it to build, deploy, and run a variety of ParaView Docker images.
The basic idea of the `Dockerfile` is that it will first install some packages needed for running the ParaView Superbuild, then clone the superbuild and use the `CMake` initial cache located in `cmake/sites/Docker-Ubuntu-18_04.cmake` to provide the build options.
## Building images
This section describes building the ParaView `Docker` images using the `Dockerfile` in this directory.
### Description of build arguments
The `Dockerfile` accepts several build arguments (provided in the form `--build-arg OPTION=VALUE`) allowing the user to specify the following build options:
This could be an `nvidia` Docker image, or just a basic `ubuntu`. The `nvidia` images are useful for creating `EGL` builds of ParaView, while other `ubuntu` images are good for OSMesa builds.
The options here are either `egl` or `osmesa`, make sure to pick a compatible base image for the option you choose.
Defaults to main gitlab repo, but could point to a fork for testing branches. The reason we need to clone to superbuild (instead of simply checking out the branch we want locally and building from that) is that `Docker` does not provide any kind of directory binding/mounting during the build process, likely for reasons related to build reproducibility.
This could be any branch name, tag, or commit which exists on the `SUPERBUILD_REPO`, but defaults to latest release tag.
The option for this are the same as for `SUPERBUILD_TAG`, above.
#### `DEV_BUILD`
In order to allow you to preserve both the superbuild build tree as well as the version of `CMake` used during the build, this option accepts a value of `"true"`. Any other value (including the default of `"false"`) results in the build tree and `CMake` installation getting cleaned out to reduce the final size of the built image. This option can be helpful if you want to use the resulting `Docker` image to develop plugins against a particular version of ParaView.
### Build command-line examples
The simplest build just accepts all the defaults:
docker build --rm -t pv-vVERSION-egl
Here is an example of specifying non-default arguments for some of the build options. This command builds an image using OSMesa for rendering, chooses the `master` branch of ParaView, and picks a branch of the superbuild from a developer fork:
docker build --rm \
--build-arg BASE_IMAGE="ubuntu:18.04" \
--build-arg RENDERING="osmesa" \
--build-arg SUPERBUILD_REPO="<some.user>/paraview-superbuild.git" \
--build-arg SUPERBUILD_TAG="custom-branch-in-development" \
--build-arg PARAVIEW_TAG=master \
-t pv-master-osmesa-custom \
## Deploying images
Deploying images you have built is a matter of tagging them and pushing them to Dockerhub (or some other image registry). In order to tag images, you probably need to be logged in with your `Docker` ID on your local machine. This can be accomplished by typing:
docker login
Then provide your `Docker` ID and password at the prompts.
To tag your image, the command looks like:
docker tag <local-image-tag> <desired-tag-name-for-registry>
For example to tag a local image tagged `pv-v5.6.1-egl`, as `kitware/paraviewweb:pv-v5.6.1-egl`, the command is as follows:
docker tag pv-v5.6.1-egl kitware/paraviewweb:pv-v5.6.1-egl
Once the image is tagged, you can push it to the registry using a command like the following (to push to Dockerhub):
docker push kitware/paraviewweb:pv-v5.6.1-egl
## Running images
To run images you have built as containers, use the `docker run` command. To run a shell on the OSMesa container, you only need the image tag. For example:
docker run --rm -ti pv-v5.6.1-osmesa
In order to run images based on the `nvidia-docker2` runtime (e.g. any `EGL` images you have built), you need to provide an extra argument to `docker run`, for example:
docker run --rm --runtime=nvidia -ti pv-v5.6.1-egl
Of course for that to work, you not only need the `nvidia-docker2` container runtime packages installed on your system, you also need an NVidia graphics card with the latest drivers installed.
# Simple build, choosing defaults for all options:
docker build --rm -t pv-v5.6.0-egl .
# Build version 5.6.0 w/ EGL:
# docker build --rm \
# --build-arg BASE_IMAGE="nvidia/opengl:1.0-glvnd-devel-ubuntu18.04" \
# --build-arg RENDERING="egl" \
# --build-arg SUPERBUILD_REPO="" \
# --build-arg SUPERBUILD_TAG="add-dockerfile-and-build-script" \
# --build-arg PARAVIEW_TAG=v5.6.0 \
# -t pv-v5.6.0-egl \
# .
# Build version 5.6.0 w/ OSMesa:
# docker build --rm \
# --build-arg BASE_IMAGE="ubuntu:18.04" \
# --build-arg RENDERING="osmesa" \
# --build-arg SUPERBUILD_REPO="" \
# --build-arg SUPERBUILD_TAG="add-dockerfile-and-build-script" \
# --build-arg PARAVIEW_TAG=v5.6.0 \
# -t pv-v5.6.0-osmesa \
# .
# docker login (+ enter username and password)
docker tag pv-v5.6.0-egl kitware/paraviewweb:pv-v5.6.0-egl
docker push kitware/paraviewweb:pv-v5.6.0-egl
# If you want to run the OSMesa version, no runtime arg is needed:
docker run --rm -ti pv-v5.6.0-osmesa
# Or if you have nvidia-docker2 installed and want to run the egl version:
# docker run --rm --runtime=nvidia -ti pv-v5.6.0-egl
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