roelhogervorst opened a new pull request #7864: GCP SparkR operator URL: https://github.com/apache/airflow/pull/7864 This PR adds a spark_R operator which will allow you to schedule R, and sparkR jobs on a dataproc cluster. The functionality to run that kind of job is already in dataproc, but for some reason there is no operator in Airflow. --- Issue link: WILL BE INSERTED BY [boring-cyborg](https://github.com/kaxil/boring-cyborg) Make sure to mark the boxes below before creating PR: [x] - [x] Description above provides context of the change - [x] Unit tests coverage for changes (not needed for documentation changes) - [ ] Commits follow "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)" - [x] Relevant documentation is updated including usage instructions. - [x] I will engage committers as explained in [Contribution Workflow Example](https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst#contribution-workflow-example). --- In case of fundamental code change, Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvements+Proposals)) is needed. In case of a new dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). In case of backwards incompatible changes please leave a note in [UPDATING.md](https://github.com/apache/airflow/blob/master/UPDATING.md). Read the [Pull Request Guidelines](https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst#pull-request-guidelines) for more information.
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