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https://issues.apache.org/jira/browse/SPARK-25344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16685613#comment-16685613
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Bryan Cutler commented on SPARK-25344:
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[~hyukjin.kwon] no problem, I can take on ML and MLlib
> Break large PySpark unittests into smaller files
> ------------------------------------------------
>
> Key: SPARK-25344
> URL: https://issues.apache.org/jira/browse/SPARK-25344
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.4.0
> Reporter: Imran Rashid
> Assignee: Hyukjin Kwon
> Priority: Major
>
> We've got a ton of tests in one humongous tests.py file, rather than breaking
> it out into smaller files.
> Having one huge file doesn't seem great for code organization, and it also
> makes the test parallelization in run-tests.py not work as well. On my
> laptop, tests.py takes 150s, and the next longest test file takes only 20s.
> There are similarly large files in other pyspark modules, eg. sql/tests.py,
> ml/tests.py, mllib/tests.py, streaming/tests.py.
> It seems that at least for some of these files, its already broken into
> independent test classes, so it shouldn't be too hard to just move them into
> their own files.
> We could pick up one example and follow. The current style looks closer to
> NumPy structure and looks easier to follow.
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