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

Posted to issues@spark.apache.org by "Ankur Dave (JIRA)" <ji...@apache.org> on 2015/08/19 23:35:45 UTC

[jira] [Resolved] (SPARK-3671) Batch multiput updates within partitions

     [ https://issues.apache.org/jira/browse/SPARK-3671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ankur Dave resolved SPARK-3671.
-------------------------------
    Resolution: Fixed

Issue resolved by https://github.com/amplab/spark-indexedrdd/pull/4

> Batch multiput updates within partitions
> ----------------------------------------
>
>                 Key: SPARK-3671
>                 URL: https://issues.apache.org/jira/browse/SPARK-3671
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Spark Core
>            Reporter: Ankur Dave
>            Assignee: Ankur Dave
>
> Multiputs that touch the same 32-element leaf node multiple times will currently allocate and throw away a 32-element array per updated element. Instead, we should batch together all updates to the same leaf node and apply them in one step.



--
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