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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/09/15 22:52:45 UTC

[jira] [Resolved] (SPARK-2695) Figure out a good way to handle NullType columns.

     [ https://issues.apache.org/jira/browse/SPARK-2695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-2695.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

The original problem here (saving null to JSON) has been solved.

> Figure out a good way to handle NullType columns.
> -------------------------------------------------
>
>                 Key: SPARK-2695
>                 URL: https://issues.apache.org/jira/browse/SPARK-2695
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Yin Huai
>             Fix For: 1.5.0
>
>
> For example, if a JSON dataset has a field which only has null values, we will get NullType when we turn that dataset as a SchemaRDD. We need to think about what is the good way to deal with NullType columns.



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