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https://issues.apache.org/jira/browse/YUNIKORN-1740?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Bacsko updated YUNIKORN-1740:
-----------------------------------
Summary: [Umbrella] MockScheduler improvements (was: MockScheduler
improvements)
> [Umbrella] MockScheduler improvements
> -------------------------------------
>
> Key: YUNIKORN-1740
> URL: https://issues.apache.org/jira/browse/YUNIKORN-1740
> Project: Apache YuniKorn
> Issue Type: Improvement
> Components: shim - kubernetes, test - unit
> Reporter: Peter Bacsko
> Assignee: Peter Bacsko
> Priority: Major
>
> With the {{MockScheduler}} object, it's possible to test Yunikorn as a whole
> without having an actual Kubernetes cluster.
> Currently, there are some limitations of {{{}MockScheduler{}}}. For example:
> * adding node only updates the core, not the shim
> * recovery is not tested (ignored because of {{APIProvider.IsTestingMode()}}
> * predicates are not called (ignored because of
> {{APIProvider.IsTestingMode()}}
> However, it's possible to update the logic in such a way that we can simulate
> the entire code path for the lifecycle of an application:
> * New {{*v1.Pod}} object -> shim -> core -> allocation
> * allocation -> create SI object -> shim -> bind Pod
> * Running state: updated {{*v1.Pod}} -> shim -> process pod object in the
> cache
> * Completed/Failed state updated {{*v1.Pod}} -> shim > process pod object in
> the cache -> core -> update application state
> * {{*v1.Node}} object -> shim -> update cache -> core -> node&cluster update
> This can also gives us a possibility to check the performance of Yunikorn and
> collect CPU&heap samples. This will not a replacement of a real performance
> test, but with a proper test case, we can quickly do a rough assessment of
> performance/memory usage related changes.
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