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https://issues.apache.org/jira/browse/SPARK-16629?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15385876#comment-15385876
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Apache Spark commented on SPARK-16629:
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User 'damnMeddlingKid' has created a pull request for this issue:
https://github.com/apache/spark/pull/14164
> UDTs can not be compared to DataTypes in dataframes.
> ----------------------------------------------------
>
> Key: SPARK-16629
> URL: https://issues.apache.org/jira/browse/SPARK-16629
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.0
> Reporter: Franklyn Dsouza
>
> Currently UDTs can not be compared to Datatypes even if their sqlTypes match.
> this leads to errors like this
> {code}
> In [12]: filtered = df.filter(df['udt_time'] > threshold)
> ---------------------------------------------------------------------------
> AnalysisException Traceback (most recent call last)
> /Users/franklyndsouza/dev/starscream/bin/starscream in <module>()
> ----> 1 thresholded = df.filter(df['udt_time'] > threshold)
> AnalysisException: u"cannot resolve '(`udt_time` > TIMESTAMP('2015-10-20
> 01:00:00.0'))' due to data typ mismatch: '(`udt_time` > TIMESTAMP('2015-10-20
> 01:00:00.0'))' requires (boolean or tinyint or smallint or int or bigint or
> float or double or decimal or timestamp or date or string or binary) type,
> not pythonuserdefined"
> {code}
> i've proposed a fix for this here https://github.com/apache/spark/pull/14164
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