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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/04/21 18:02:25 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-10496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-10496:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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.



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