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

Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2016/04/20 11:40:25 UTC

[jira] [Commented] (SPARK-10496) Efficient DataFrame cumulative sum

    [ https://issues.apache.org/jira/browse/SPARK-10496?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15249560#comment-15249560 ] 

zhengruifeng commented on SPARK-10496:
--------------------------------------

I can have a try. Add this new API in DataFrameStatFunctions.

> Efficient DataFrame cumulative sum
> ----------------------------------
>
>                 Key: SPARK-10496
>                 URL: https://issues.apache.org/jira/browse/SPARK-10496
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>
> Goal: Given a DataFrame with a numeric column X, create a new column Y which is the cumulative sum of X.
> This can be done with window functions, but it is not efficient for a large number of rows.  It could be done more efficiently using a prefix sum/scan.



--
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