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From "Nick Dimiduk (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-19614) add type-preserving null function
Date Wed, 15 Feb 2017 22:46:41 GMT
Nick Dimiduk created SPARK-19614:
------------------------------------

             Summary: add type-preserving null function
                 Key: SPARK-19614
                 URL: https://issues.apache.org/jira/browse/SPARK-19614
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: Nick Dimiduk
            Priority: Trivial


There's currently no easy way to extend the columns of a DataFrame with null columns that
also preserves the type. {{lit(null)}} evaluates to {{Literal(null, NullType)}}, despite any
subsequent hinting, for instance with {{Column.as(String, Metadata)}}. This comes up when
programmatically munging data from disparate sources. A function such as {{null(DataType)}}
would be nice.



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