You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/04/26 08:43:38 UTC

[jira] [Closed] (SPARK-6176) Expose abstract DataTypes for DataFrames

     [ https://issues.apache.org/jira/browse/SPARK-6176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley closed SPARK-6176.
------------------------------------
    Resolution: Duplicate

> Expose abstract DataTypes for DataFrames
> ----------------------------------------
>
>                 Key: SPARK-6176
>                 URL: https://issues.apache.org/jira/browse/SPARK-6176
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>
> It would be nice to have access to the abstract DataTypes used in DataFrame schema.  E.g., it would be useful to be able to test whether a type is numeric, rather than testing a list of current numeric types.
> This may require waiting for the DataFrame API to become non-Experimental.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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