Automatic merge from submit-queue (batch tested with PRs 36693, 40154, 40170, 39033)
Minor hygiene in scheduler.
**What this PR does / why we need it**:
Minor cleanups in scheduler, related to PR #31652.
- Unified lazy opaque resource caching.
- Deleted a commented-out line of code.
**Release note**:
```release-note
N/A
```
Automatic merge from submit-queue (batch tested with PRs 39945, 39601)
bugfix for PodToleratesNodeTaints
`PodToleratesNodeTaints`predicate func should return true if pod has no toleration annotations and node's taint effect is `PreferNoSchedule`
Automatic merge from submit-queue
Avoid unnecessary memory allocations
Low-hanging fruits in saving memory allocations. During our 5000-node kubemark runs I've see this:
ControllerManager:
- 40.17% k8s.io/kubernetes/pkg/util/system.IsMasterNode
- 19.04% k8s.io/kubernetes/pkg/controller.(*PodControllerRefManager).Classify
Scheduler:
- 42.74% k8s.io/kubernetes/plugin/pkg/scheduler/algrorithm/predicates.(*MaxPDVolumeCountChecker).filterVolumes
This PR is eliminating all of those.
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Optimize pod affinity when predicate
Optimize by returning as early as possible to avoid invoking priorityutil.PodMatchesTermsNamespaceAndSelector.
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Add use case to service affinity
Also part of nits in refactoring predicates, I found the explanation of `serviceaffinity` in its comment is very hard to understand. So I added example instead here to help user/developer to digest it.
Automatic merge from submit-queue (batch tested with PRs 38377, 36365, 36648, 37691, 38339)
Do not create selector and namespaces in a loop where possible
With 1000 nodes and 5000 pods (5 pods per node) with anti-affinity a lot of CPU wasted on creating LabelSelector and sets.String (map).
With this change we are able to deploy that number of pods in ~25 minutes. Without - it takes 30 minutes to deploy 500 pods with anti-affinity configured.
Automatic merge from submit-queue (batch tested with PRs 38076, 38137, 36882, 37634, 37558)
[scheduler] Use V(10) for anything which may be O(N*P) logging
Fixes#37014
This PR makes sure that logging statements which are capable of being called on a perNode / perPod basis (i.e. non essential ones that will just clog up logs at large scale) are at V(10) level.
I dreamt of a levenstein filter that built a weak map of word frequencies and alerted once log throughput increased w/o varying information content.... but then I woke up and realized this is probably all we really need for now :)
- Prevents kubelet from overwriting capacity during sync.
- Handles opaque integer resources in the scheduler.
- Adds scheduler predicate tests for opaque resources.
- Validates opaque int resources:
- Ensures supplied opaque int quantities in node capacity,
node allocatable, pod request and pod limit are integers.
- Adds tests for new validation logic (node update and pod spec).
- Added e2e tests for opaque integer resources.
Automatic merge from submit-queue
Predicate cacheing and cleanup
Fix to #31795
First pass @ cleanup and caching of the CheckServiceAffinity function.
The cleanup IMO is necessary because the logic around the pod listing and the use of the "implicit selector" (which is reverse engineered to enable the homogenous pod groups).
Should still pass the E2Es.
@timothysc @wojtek-t
Comments addressed, Make emptyMetadataProducer a func to avoid casting,
FakeSvcLister: remove error return for len(svc)=0. New test for
predicatePrecomp to make method semantics explictly enforced when meta
is missing. Precompute wrapper.
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Add kubelet awareness to taint tolerant match caculator.
Add kubelet awareness to taint tolerant match caculator.
Ref: #25320
This is required by `TaintEffectNoScheduleNoAdmit` & `TaintEffectNoScheduleNoAdmitNoExecute `, so that node will know if it should expect the taint&tolerant
Automatic merge from submit-queue
simplify RC and SVC listers
Make the RC and SVC listers use the common list functions that more closely match client APIs, are consistent with other listers, and avoid unnecessary copies.