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Posted to issues@hive.apache.org by "Prasanth Jayachandran (JIRA)" <ji...@apache.org> on 2017/12/13 09:21:00 UTC
[jira] [Updated] (HIVE-18269) LLAP: Fast llap io with slow
processing pipeline can lead to OOM
[ https://issues.apache.org/jira/browse/HIVE-18269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Prasanth Jayachandran updated HIVE-18269:
-----------------------------------------
Attachment: Screen Shot 2017-12-13 at 1.15.16 AM.png
Attached images show the retained references. Entire 40GB heap was occupied by pendingData (some nodes are not expanded for brevity)
> LLAP: Fast llap io with slow processing pipeline can lead to OOM
> ----------------------------------------------------------------
>
> Key: HIVE-18269
> URL: https://issues.apache.org/jira/browse/HIVE-18269
> Project: Hive
> Issue Type: Bug
> Affects Versions: 3.0.0
> Reporter: Prasanth Jayachandran
> Assignee: Prasanth Jayachandran
> Attachments: Screen Shot 2017-12-13 at 1.15.16 AM.png
>
>
> pendingData linked list in Llap IO elevator (LlapRecordReader.java) may have grow indefinitely when Llap IO is faster than processing pipeline. Since we don't have backpressure to slow down the IO, this can lead to indefinite growth of pending data leading to severe GC pressure and eventually lead to OOM.
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