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https://issues.apache.org/jira/browse/SPARK-7899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14561164#comment-14561164
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Michael Nazario commented on SPARK-7899:
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The problem is that pyspark/sql/types conflicts with the built-in Python 3
types module which causes tests to fail.
The Python documentation
(https://docs.python.org/3/using/cmdline.html#interface-options) says that by
calling "python path/to/script.py", the path of the script is automatically
added to sys.path. This causes the conflict with the built-in Python 3 types
module.
You can fix this by using "-m" in running pyspark tests instead since this will
run by a module name on sys.path and not add the directory of the script to the
python path.
> PySpark sql/tests breaks pylint validation
> ------------------------------------------
>
> Key: SPARK-7899
> URL: https://issues.apache.org/jira/browse/SPARK-7899
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Tests
> Affects Versions: 1.4.0
> Reporter: Michael Nazario
>
> The pyspark.sql.types module is dynamically named "types" from "_types" which
> messes up pylint validation
> From [~justin.uang] below:
> In commit 04e44b37, the migration to Python 3, pyspark/sql/types.py was
> renamed to pyspark/sql/_types.py and then some magic in
> pyspark/sql/__init__.py dynamically renamed the module back to types. I
> imagine that this is some naming conflict with Python 3, but what was the
> error that showed up?
> The reason why I'm asking about this is because it's messing with pylint,
> since pylint cannot now statically find the module. I tried also importing
> the package so that __init__ would be run in a init-hook, but that isn't what
> the discovery mechanism is using. I imagine it's probably just crawling the
> directory structure.
> One way to work around this would be something akin to this
> (http://stackoverflow.com/questions/9602811/how-to-tell-pylint-to-ignore-certain-imports),
> where I would have to create a fake module, but I would probably be missing
> a ton of pylint features on users of that module, and it's pretty hacky.
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