[jira] [Updated] (SPARK-7899) PySpark sql/tests breaks pylint validation

["Davies Liu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Davies Liu updated SPARK-7899:
------------------------------
    Fix Version/s: 1.4.0

> 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
>            Assignee: Michael Nazario
>             Fix For: 1.4.0
>
>
> 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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