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https://issues.apache.org/jira/browse/YARN-10450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17316336#comment-17316336
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chaosju edited comment on YARN-10450 at 4/7/21, 1:30 PM:
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Why adaptive Heartbeat ？
* {color:#ff0000}Regular heartbeats can overload RM.{color}
* {color:#ff0000}if RM is overloaded things get worse over time as events
queue up.{color}
* Lower work efficiency as important events at NM/AM need to wait for next
heartbeat to let RM know of their status.
* Not every heartbeat from a node or AM may be important. If nodes are running
full, heartbeats from such nodes would not be useful for application
scheduling.
* RM should be able to control heartbeats sent to itself
How adaptive Heartbeat ？
1.Throttle Heartbeat:
* {color:#ff0000} HB interval based on scheduler load (LIGHT, NORMAL, BUSY,
HEAVY){color}
* Statistics associated with various scheduler events (processing time vs wait
time in queue) is collected.
* RM indicates the next HB interval to NM and AM to throttle the heartbeat.
2. Event based Heartbeat:
* Send out of band heartbeat to send emergent request such as new resource
requests, container completion etc. before the heartbeat interval indicated by
RM.
* RM can notify AM when the containers have been allocated so that AM does not
have to wait for the scheduled heartbeat to get resources.
Reference：https://www.slideshare.net/vsaxenavarun/venturing-into-large-hadoop-clusters
[~Jim_Brennan]
was (Author: chaosju):
Why adaptive Heartbeat ？
* {color:#FF0000}Regular heartbeats can overload RM.{color}
* {color:#FF0000}if RM is overloaded things get worse over time as events
queue up.{color}
* Lower work efficiency as important events at NM/AM need to wait for next
heartbeat to let RM know of their status.
* Not every heartbeat from a node or AM may be important. If nodes are running
full, heartbeats from such nodes would not be useful for application
scheduling.
* RM should be able to control heartbeats sent to itself
How adaptive Heartbeat ？
1.Throttle Heartbeat:
* {color:#FF0000} HB interval based on scheduler load (LIGHT, NORMAL, BUSY,
HEAVY){color}
* Statistics associated with various scheduler events (processing time vs wait
time in queue) is collected.
* RM indicates the next HB interval to NM and AM to throttle the heartbeat.
2. Event based Heartbeat:
* Send out of band heartbeat to send emergent request such as new resource
requests, container completion etc. before the heartbeat interval indicated by
RM.
* RM can notify AM when the containers have been allocated so that AM does not
have to wait for the scheduled heartbeat to get resources.
[~Jim_Brennan]
> Add cpu and memory utilization per node and cluster-wide metrics
> ----------------------------------------------------------------
>
> Key: YARN-10450
> URL: https://issues.apache.org/jira/browse/YARN-10450
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: yarn
> Affects Versions: 3.3.1
> Reporter: Jim Brennan
> Assignee: Jim Brennan
> Priority: Minor
> Fix For: 3.2.2, 3.4.0, 3.3.1, 3.1.5, 2.10.2, 3.2.3
>
> Attachments: NodesPage.png, YARN-10450-branch-2.10.003.patch,
> YARN-10450-branch-3.1.003.patch, YARN-10450-branch-3.2.003.patch,
> YARN-10450.001.patch, YARN-10450.002.patch, YARN-10450.003.patch
>
>
> Add metrics to show actual cpu and memory utilization for each node and
> aggregated for the entire cluster. This is information is already passed
> from NM to RM in the node status update.
> We have been running with this internally for quite a while and found it
> useful to be able to quickly see the actual cpu/memory utilization on the
> node/cluster. It's especially useful if some form of overcommit is used.
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