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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