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From "Brock Noland (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-7492) Enhance SparkCollector
Date Thu, 07 Aug 2014 16:30:12 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Brock Noland updated HIVE-7492:
-------------------------------

       Resolution: Fixed
    Fix Version/s: spark-branch
           Status: Resolved  (was: Patch Available)

Thank you very much [~vkorukanti] for your contribution! Would you mind opening another jira
to allow RowContainer to write to the DFS as opposed to /tmp?

I don't think this work should be done on the Spark branch and I don't think it's urgent.
However, since many users have extremely small /tmp I don't think we should be writing unbounded
amounts of data there.

Committed to spark!

> Enhance SparkCollector
> ----------------------
>
>                 Key: HIVE-7492
>                 URL: https://issues.apache.org/jira/browse/HIVE-7492
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Venki Korukanti
>             Fix For: spark-branch
>
>         Attachments: HIVE-7492-1-spark.patch, HIVE-7492.2-spark.patch
>
>
> SparkCollector is used to collect the rows generated by HiveMapFunction or HiveReduceFunction.
It currently is backed by a ArrayList, and thus has unbounded memory usage. Ideally, the collector
should have a bounded memory usage, and be able to spill to disc when its quota is reached.



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