You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Maciej Szymkiewicz (JIRA)" <ji...@apache.org> on 2017/02/19 14:09:44 UTC

[jira] [Comment Edited] (SPARK-16931) PySpark access to data-frame bucketing api

    [ https://issues.apache.org/jira/browse/SPARK-16931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15873710#comment-15873710 ] 

Maciej Szymkiewicz edited comment on SPARK-16931 at 2/19/17 2:09 PM:
---------------------------------------------------------------------

Reopening: Should be implemented to achieve feature parity.


was (Author: zero323):
Should be implemented to achieve feature parity.

> PySpark access to data-frame bucketing api
> ------------------------------------------
>
>                 Key: SPARK-16931
>                 URL: https://issues.apache.org/jira/browse/SPARK-16931
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 2.0.0
>            Reporter: Greg Bowyer
>
> Attached is a patch that enables bucketing for pyspark using the dataframe API.



--
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