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From "Karthik Kambatla (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3534) Collect memory/cpu usage on the node
Date Mon, 27 Jul 2015 00:05:05 GMT

    [ https://issues.apache.org/jira/browse/YARN-3534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14642141#comment-14642141

Karthik Kambatla commented on YARN-3534:

Thanks for updating the patch, [~elgoiri]. The latest patch looks pretty good. Few minor comments:
# Let us not deprecate {{NM_CONTAINER_MON_INTERVAL_MS}}. Deprecating the default value seems
reasonable. One might want to specify a different interval for node monitoring and container
# Make corresponding changes to yarn-site.xml
# {{NodeResourceMonitorImpl#serviceStop}}: the log message should say couldn't wait for the
thread to join, and may be we should log it as WARN instead of INFO
# ContainersMonitorImpl: Users could continue to use the deprecated configs. If those are
specified and the new ones are not, we should fallback to the deprecated ones. If this becomes
too complicated, I am comfortable with leaving the configs for container-monitoring as is.
We could file a follow-up JIRA to clean these configs for Hadoop-3.x.

> Collect memory/cpu usage on the node
> ------------------------------------
>                 Key: YARN-3534
>                 URL: https://issues.apache.org/jira/browse/YARN-3534
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: nodemanager, resourcemanager
>    Affects Versions: 2.7.0
>            Reporter: Inigo Goiri
>            Assignee: Inigo Goiri
>         Attachments: YARN-3534-1.patch, YARN-3534-10.patch, YARN-3534-11.patch, YARN-3534-12.patch,
YARN-3534-14.patch, YARN-3534-15.patch, YARN-3534-2.patch, YARN-3534-3.patch, YARN-3534-3.patch,
YARN-3534-4.patch, YARN-3534-5.patch, YARN-3534-6.patch, YARN-3534-7.patch, YARN-3534-8.patch,
>   Original Estimate: 336h
>  Remaining Estimate: 336h
> YARN should be aware of the resource utilization of the nodes when scheduling containers.
For this, this task will implement the collection of memory/cpu usage on the node.

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