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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2018/12/12 00:45:07 UTC

[GitHub] kppullin opened a new pull request #4307: [AIRFLOW-3501] k8s executor - Support loading dags from image.

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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