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