You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/08/27 07:19:46 UTC

[jira] [Resolved] (SPARK-9964) PySpark DataFrameReader accept RDD of String for JSON

     [ https://issues.apache.org/jira/browse/SPARK-9964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-9964.
--------------------------------
       Resolution: Fixed
         Assignee: Yanbo Liang
    Fix Version/s: 1.6.0

> PySpark DataFrameReader accept RDD of String for JSON
> -----------------------------------------------------
>
>                 Key: SPARK-9964
>                 URL: https://issues.apache.org/jira/browse/SPARK-9964
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark, SQL
>            Reporter: Joseph K. Bradley
>            Assignee: Yanbo Liang
>            Priority: Minor
>             Fix For: 1.6.0
>
>
> It would be nice (but not necessary) for the PySpark DataFrameReader to accept an RDD of Strings (like the Scala version does) for JSON, rather than only taking a path.
> If this JIRA is accepted, it should probably be duplicated to cover the other input types (not just JSON).



--
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