Xinwei Xiong
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10 months ago | |
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images | 10 months ago | |
README.md | 1 year ago | |
goreleaser.yaml | 12 months ago |
README.md
Building OpenIM
Building OpenIM is easy if you take advantage of the containerized build environment. This document will help guide you through understanding this build process.
Requirements
- Docker, using one of the following configurations:
- macOS Install Docker for Mac. See installation instructions here. Note: You will want to set the Docker VM to have at least 4GB of initial memory or building will likely fail.
- Linux with local Docker Install Docker according to the instructions for your OS.
- Windows with Docker Desktop WSL2 backend Install Docker according to the instructions. Be sure to store your sources in the local Linux file system, not the Windows remote mount at
/mnt/c
.
Note: You will need to check if Docker CLI plugin buildx is properly installed (docker-buildx
file should be present in ~/.docker/cli-plugins
). You can install buildx according to the instructions.
- Optional Google Cloud SDK
You must install and configure Google Cloud SDK if you want to upload your release to Google Cloud Storage and may safely omit this otherwise.
Actions
About Images packages
All files in the build/images
directory are not templated and are instead rendered by Github Actions, which is an automated process.
Trigger condition:
- create a new tag with the format
vX.Y.Z
(e.g.v1.0.0
) - push the tag to the remote repository
- wait for the build to finish
- download the artifacts from the release page
Make images
help info:
$ make image.help
build images:
$ make image
Overview
While it is possible to build OpenIM using a local golang installation, we have a build process that runs in a Docker container. This simplifies initial set up and provides for a very consistent build and test environment.
Basic Flow
The scripts directly under build/
are used to build and test. They will ensure that the openim-build
Docker image is built (based on build/build-image/Dockerfile
and after base image's OPENIM_BUILD_IMAGE_CROSS_TAG
from Dockerfile is replaced with one of those actual tags of the base image, like v1.13.9-2
) and then execute the appropriate command in that container. These scripts will both ensure that the right data is cached from run to run for incremental builds and will copy the results back out of the container. You can specify a different registry/name and version for openim-cross
by setting OPENIM_CROSS_IMAGE
and OPENIM_CROSS_VERSION
, see common.sh
for more details.
The openim-build
container image is built by first creating a "context" directory in _output/images/build-image
. It is done there instead of at the root of the OpenIM repo to minimize the amount of data we need to package up when building the image.
There are 3 different containers instances that are run from this image. The first is a "data" container to store all data that needs to persist across to support incremental builds. Next there is an "rsync" container that is used to transfer data in and out to the data container. Lastly there is a "build" container that is used for actually doing build actions. The data container persists across runs while the rsync and build containers are deleted after each use.
rsync
is used transparently behind the scenes to efficiently move data in and out of the container. This will use an ephemeral port picked by Docker. You can modify this by setting the OPENIM_RSYNC_PORT
env variable.
All Docker names are suffixed with a hash derived from the file path (to allow concurrent usage on things like CI machines) and a version number. When the version number changes all state is cleared and clean build is started. This allows the build infrastructure to be changed and signal to CI systems that old artifacts need to be deleted.
Build artifacts
The build system output all its products to a top level directory in the source repository named _output
.
These include the binary compiled packages (e.g. imctl, openim-api etc.) and archived Docker images.
If you intend to run a component with a docker image you will need to import it from this directory with