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From "Sergey Shelukhin (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-18269) LLAP: Fast llap io with slow processing pipeline can lead to OOM
Date Tue, 09 Jan 2018 21:35:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-18269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16319218#comment-16319218
] 

Sergey Shelukhin commented on HIVE-18269:
-----------------------------------------

Looks like llap_acid test is failing on most recent runs. [~prasanth_j] [~jdere] can you review
the update?

> 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: Sergey Shelukhin
>         Attachments: HIVE-18269.01.patch, HIVE-18269.02.patch, HIVE-18269.03.patch, HIVE-18269.1.patch,
HIVE-18269.bad.patch, Screen Shot 2017-12-13 at 1.15.16 AM.png
>
>
> pendingData linked list in Llap IO elevator (LlapRecordReader.java) may 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.
> This specific instance of LLAP was running on HDFS on top of EBS volume backed by SSD.
The query that triggered this is issue was ANALYZE STATISTICS .. FOR COLUMNS which also gather
bitvectors. Fast IO and Slow processing case.



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