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