Automatic merge from submit-queue
Removed a space in portforward.go.
**What this PR does / why we need it**:
**Which issue this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close that issue when PR gets merged)*: fixes #
**Special notes for your reviewer**:
**Release note**:
```release-note
```
Automatic merge from submit-queue (batch tested with PRs 34543, 40606)
sync client-go and move util/workqueue
The vision of client-go is that it provides enough utilities to build a reasonable controller. It has been copying `util/workqueue`. This makes it authoritative.
@liggitt I'm getting really close to making client-go authoritative ptal.
approved based on https://github.com/kubernetes/kubernetes/issues/40363
Automatic merge from submit-queue
Don't require failureDomains in PodAffinityChecker
`failureDomains` are only used for `PreferredDuringScheduling` pod
anti-affinity, which is ignored by `PodAffinityChecker`.
This unnecessary requirement was making it hard to move
`PodAffinityChecker` to `GeneralPredicates` because that would require
passing `--failure-domains` to both `kubelet` and `kube-controller-manager`.
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.
Automatic merge from submit-queue
Optimize pod affinity when predicate
Optimize by returning as early as possible to avoid invoking priorityutil.PodMatchesTermsNamespaceAndSelector.
Automatic merge from submit-queue
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 35436, 37090, 38700)
Make iscsi pv/pvc aware of nodiskconflict feature
Being iscsi a `RWO, ROX` volume we should conflict if more than one pod is using same iscsi LUN.
Signed-off-by: Humble Chirammal <hchiramm@redhat.com>
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.
failureDomains are only used for PreferredDuringScheduling pod
anti-affinity, which is ignored by PodAffinityChecker.
This unnecessary requirement was making it hard to move
PodAffinityChecker to GeneralPredicates because that would require
passing --failure-domains to both kubelet and kube-controller-manager.
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 :)
