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From GitBox <...@apache.org>
Subject [GitHub] exploy opened a new pull request #3871: [AIRFLOW-2797] Create Google Dataproc cluster with custom image
Date Sun, 09 Sep 2018 19:56:19 GMT
exploy opened a new pull request #3871: [AIRFLOW-2797] Create Google Dataproc cluster with
custom image
URL: https://github.com/apache/incubator-airflow/pull/3871
 
 
   ### Jira
   
   https://issues.apache.org/jira/projects/AIRFLOW/issues/AIRFLOW-2797
   
   ### Description
   
   In GCP, it is possible to create Dataproc cluster with a custom image that includes user's
pre-installed packages. It significantly reduces the startup time of the cluster.
   
   For more info see: https://cloud.google.com/dataproc/docs/guides/dataproc-images
   
   ### Tests
   
   Two tests added:
   - one checks assertion in case someone passes both `image_version` & `custom_image`
- such a situation does not make sense from the configuration perspective 
   - one check if `imageUri` is correctly set in `cluster_data`
   
   ### Commits
   
   - [ ] 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.
   
   ### Code Quality
   
   - [ ] Passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
   

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