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

["Franklyn Dsouza (JIRA)" <ji...@apache.org>]

Franklyn Dsouza created SPARK-16629:
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             Summary: 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
             Fix For: 2.0.0


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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