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From "Jaeho Shin (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (GIRAPH-246) Periodic worker calls to context.progress() will prevent timeout on some Hadoop clusters during barrier waits
Date Sat, 18 Aug 2012 00:12:38 GMT

    [ https://issues.apache.org/jira/browse/GIRAPH-246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13437167#comment-13437167
] 

Jaeho Shin commented on GIRAPH-246:
-----------------------------------

Eli, I think the thread idea needs to be elaborated more, esp. on how to determine if the
task is actually making progress, so at the moment I don't have much code to share.  Besides,
we couldn't spend more time on chasing down this problem blocking other tasks, so decided
to circumvent with a very high timeout setting for now.  I'll come back later and continue
the investigation at GIRAPH-274.
                
> Periodic worker calls to context.progress() will prevent timeout on some Hadoop clusters
during barrier waits
> -------------------------------------------------------------------------------------------------------------
>
>                 Key: GIRAPH-246
>                 URL: https://issues.apache.org/jira/browse/GIRAPH-246
>             Project: Giraph
>          Issue Type: Improvement
>          Components: bsp
>    Affects Versions: 0.2.0
>            Reporter: Eli Reisman
>            Assignee: Eli Reisman
>            Priority: Minor
>              Labels: hadoop, patch
>             Fix For: 0.2.0
>
>         Attachments: GIRAPH-246-10.patch, GIRAPH-246-11.patch, GIRAPH-246-1.patch, GIRAPH-246-2.patch,
GIRAPH-246-3.patch, GIRAPH-246-4.patch, GIRAPH-246-5.patch, GIRAPH-246-6.patch, GIRAPH-246-7.patch,
GIRAPH-246-7_rebase1.patch, GIRAPH-246-7_rebase2.patch, GIRAPH-246-8.patch, GIRAPH-246-9.patch,
GIRAPH-246-NEW-FIX-2.patch, GIRAPH-246-NEW-FIX.patch
>
>
> This simple change creates a command-line configurable option in GiraphJob to control
the time between calls to context().progress() that allows workers to avoid timeouts during
long data load-ins in which some works complete their input split reads much faster than others,
or finish a super step faster. I found this allowed jobs that were large-scale but with low
memory overhead to complete even when they would previously time out during runs on a Hadoop
cluster. Timeout is still possible when the worker crashes or runs out of memory or has other
GC or RPC trouble that is legitimate, but prevents unintentional crashes when the worker is
actually still healthy.

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