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https://issues.apache.org/jira/browse/YARN-4412?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15285203#comment-15285203
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Arun Suresh commented on YARN-4412:
-----------------------------------
[~aw], I apologize..
But I did mentioned
[here|https://issues.apache.org/jira/browse/YARN-4412?focusedCommentId=15148978&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15148978]
that the call to {{System.exit(-1)}} is actually intentional (the dispatch
MUST bring down the process if it hits a fatal error).. and was flagged as a
consequence of (plain-vanilla IDE assisted) refactoring of an existing inner
class into a new class, which means its a findbugs that already existed.
The patch process detects increase in findbugs due to a patch, but does not
record a decrease, which is the case with this patch..
Maybe there is a better alternative to using System.exit() ? But dont you feel
that should be explored outside of this JIRA ?
> Create ClusterMonitor to compute ordered list of preferred NMs for
> OPPORTUNITIC containers
> ------------------------------------------------------------------------------------------
>
> Key: YARN-4412
> URL: https://issues.apache.org/jira/browse/YARN-4412
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: nodemanager, resourcemanager
> Reporter: Arun Suresh
> Assignee: Arun Suresh
> Fix For: 3.0.0-alpha1
>
> Attachments: YARN-4412-yarn-2877.v1.patch,
> YARN-4412-yarn-2877.v2.patch, YARN-4412-yarn-2877.v3.patch,
> YARN-4412-yarn-2877.v4.patch, YARN-4412-yarn-2877.v5.patch,
> YARN-4412-yarn-2877.v6.patch, YARN-4412.007.patch, YARN-4412.008.patch,
> YARN-4412.009.patch
>
>
> Introduce a Cluster Monitor that aggregates load information from individual
> Node Managers and computes an ordered list of preferred Node managers to be
> used as target Nodes for OPPORTUNISTIC container allocations.
> This list can be pushed out to the Node Manager (specifically the AMRMProxy
> running on the Node) via the Allocate Response. This will be used to make
> local Scheduling decisions
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