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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