[jira] [Assigned] (SPARK-16629) UDTs can not be compared to DataTypes in dataframes.

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

     [ https://issues.apache.org/jira/browse/SPARK-16629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16629:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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