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https://issues.apache.org/jira/browse/SPARK-19614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Dimiduk closed SPARK-19614.
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Resolution: Invalid
> 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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