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https://issues.apache.org/jira/browse/YUNIKORN-2212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wilfred Spiegelenburg resolved YUNIKORN-2212.
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Fix Version/s: 1.5.0
Resolution: Fixed
change committed, auto scaling should be less overhead and a little more
conservative now.
> Don't collect requests that hasn't been scheduled yet or already triggered
> scale up
> -----------------------------------------------------------------------------------
>
> Key: YUNIKORN-2212
> URL: https://issues.apache.org/jira/browse/YUNIKORN-2212
> Project: Apache YuniKorn
> Issue Type: Sub-task
> Components: core - scheduler
> Reporter: Peter Bacsko
> Assignee: Peter Bacsko
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.5.0
>
> Attachments: outstandingRequests-1.png
>
>
> In every second, we collect "outstanding requests", ie those which cannot be
> scheduled.
> Problem is, the scheduling cycle might not even tried to schedule those pods.
> If that's the case, we mistakenly set them to "Unschedulable", which can
> trigger autoscaling if the cluster autoscaler happens to run at the beginning
> of the next scan interval.
> Another thing to consider is when we need to mark them as Unschedulable. Eg.
> tryPreemption() succeeded, do we still need new nodes? This can addressed in
> a separate JIRA.
> This issue also shows up during performance testing. Since we submit a lot of
> pods to Yunikorn, {{Scheduler.inspectOutstandingRequests()}} finds&collects
> them and subsequently generates a lot of API server updates. This is a
> special edge case, but on busy clusters, something similar can happen.
> *Ticket scope:*
> - Mark asks if they have been attempted to be scheduled. Collect those which
> are marked.
> - Mark asks as soon as they've been updated to Unschedulable. Next time,
> don't collect these. Headrooms should still be calculated.
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