[jira] [Commented] (SPARK-6289) PySpark doesn't maintain SQL date Types

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14619676#comment-14619676 ] 

Apache Spark commented on SPARK-6289:
-------------------------------------

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/7301

> PySpark doesn't maintain SQL date Types
> ---------------------------------------
>
>                 Key: SPARK-6289
>                 URL: https://issues.apache.org/jira/browse/SPARK-6289
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 1.2.1
>            Reporter: Michael Nazario
>            Assignee: Davies Liu
>
> For the DateType, Spark SQL requires a datetime.date in Python. However, if you collect a row based on that type, you'll end up with a returned value which is type datetime.datetime.
> I have tried to reproduce this using the pyspark shell, but have been unable to. This is definitely a problem coming from pyrolite though:
> https://github.com/irmen/Pyrolite/
> Pyrolite is being used for datetime and date serialization, but appears to not map to date objects, but maps to datetime objects.



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