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Posted to issues@spark.apache.org by "Nick Dimiduk (JIRA)" <ji...@apache.org> on 2017/02/15 22:46:41 UTC

[jira] [Created] (SPARK-19614) add type-preserving null function

Nick Dimiduk created SPARK-19614:
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             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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