spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Nick Dimiduk (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SPARK-19614) add type-preserving null function
Date Thu, 16 Feb 2017 19:09:41 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Nick Dimiduk closed SPARK-19614.
--------------------------------
    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.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message