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https://issues.apache.org/jira/browse/GIRAPH-246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13412925#comment-13412925
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Eli Reisman commented on GIRAPH-246:
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I found one more spot during input split selection where a starved worker (when
there are more workers than splits) might be very useful processing partitions
during super steps but will not be getting an InputSplit. In this spot, there
is still no progress() call. I will add that, and remove the configurable
setting since (you're right) no one will need to configure it. My thought there
is different Hadoop clusters might have different rules and perhaps someone
might need the option should they want to meet their requirements.
I will upload the new-improved patch momentarily...
and yes I can get rid of the call in :601 and maybe a couple of other similar
ones, let me have another look...
> 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-246-1.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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