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https://issues.apache.org/jira/browse/AIRFLOW-3501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16718294#comment-16718294
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ASF GitHub Bot commented on AIRFLOW-3501:
-----------------------------------------
kppullin opened a new pull request #4307: [AIRFLOW-3501] k8s executor - Support
loading dags from image.
URL: https://github.com/apache/incubator-airflow/pull/4307
### Jira
- [X] My PR addresses the following [Airflow
Jira](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references
them in the PR title. For example, "\[AIRFLOW-3501\] My Airflow PR"
- https://issues.apache.org/jira/browse/AIRFLOW-3501
- In case you are fixing a typo in the documentation you can prepend your
commit with \[AIRFLOW-3501\], code changes always need a Jira issue.
### Description
- [X] Here are some details about my PR, including screenshots of any UI
changes:
This PR adds a new config property named `use_container_dags` to the
`kubernetes` configuration section.
When this property is set to `True`, airflow will uses the dags packaged
into the running docker container instead of loading them from a kubernetes
volume mount or from a git init container.
Prior to this change airflow forced loading dags either from a volume claim
or an init container.
The motivation for this change is to allow for an airflow image to be built
and released via a CI/CD pipeline upon a new commit to a dag repository. For
example, given a new git commit to a dag repo, a CI/CD server can build an
airflow docker image, run tests against the current dags, and finally push the
entire bundle as a single, complete, well-known unit to kubernetes.
There's no need to worry that a git init container will fail, having to have
a separate pipeline to update dags on a shared volume, etc. And if issues
arise from an update, the configuration can be easily rolled back to the prior
version of the image.
### Tests
- [ ] My PR adds the following unit tests __OR__ does not need testing for
this extremely good reason:
### Commits
- [X] My commits all reference Jira issues in their subject lines, and I
have squashed multiple commits if they address the same issue. In addition, my
commits follow the guidelines from "[How to write a good git commit
message](http://chris.beams.io/posts/git-commit/)":
1. Subject is separated from body by a blank line
1. Subject is limited to 50 characters (not including Jira issue reference)
1. Subject does not end with a period
1. Subject uses the imperative mood ("add", not "adding")
1. Body wraps at 72 characters
1. Body explains "what" and "why", not "how"
### Documentation
- [X] In case of new functionality, my PR adds documentation that describes
how to use it.
- When adding new operators/hooks/sensors, the autoclass documentation
generation needs to be added.
- All the public functions and the classes in the PR contain docstrings
that explain what it does
### Code Quality
- [X] Passes `flake8`
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> Add config option to load dags in an image with the kubernetes executor.
> ------------------------------------------------------------------------
>
> Key: AIRFLOW-3501
> URL: https://issues.apache.org/jira/browse/AIRFLOW-3501
> Project: Apache Airflow
> Issue Type: Improvement
> Components: kubernetes
> Reporter: Kevin Pullin
> Priority: Major
>
> Currently the airflow kubernetes executor forces loading dags either from a
> volume claim or an init container. There should be an option to bypass these
> settings and instead use dags packaged into the running image.
> The motivation for this change is to allow for an airflow image to be built
> and released via a CI/CD pipeline upon a new commit to a dag repository. For
> example, given a new git commit to a dag repo, a CI/CD server can build an
> airflow docker image, run tests against the current dags, and finally push
> the entire bundle as a single, complete, well-known unit to kubernetes.
> There's no need to worry that a git init container will fail, having to have
> a separate pipeline to update dags on a shared volume, etc. And if issues
> arise from an update, the configuration can be easily rolled back to the
> prior version of the image.
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