The error was being eaten and shadowed, which means we would never exit
this loop. This might lead to a goroutine in the scheduler being used
forever without exiting at maximum backoff.
Switched to use the real client to make later refactors easier.
Automatic merge from submit-queue
scheduler: remove unused random generator
The way scheduler selecting host has been changed to round-robin.
Clean up leftover.
Automatic merge from submit-queue
Make IsQualifiedName return error strings
Part of the larger validation PR, broken out for easier review and merge.
@lavalamp FYI, but I know you're swamped, too.
Automatic merge from submit-queue
Add pod condition PodScheduled to detect situation when scheduler tried to schedule a Pod, but failed
Set `PodSchedule` condition to `ConditionFalse` in `scheduleOne()` if scheduling failed and to `ConditionTrue` in `/bind` subresource.
Ref #24404
@mml (as it seems to be related to "why pending" effort)
<!-- Reviewable:start -->
---
This change is [<img src="http://reviewable.k8s.io/review_button.svg" height="35" align="absmiddle" alt="Reviewable"/>](http://reviewable.k8s.io/reviews/kubernetes/kubernetes/24459)
<!-- Reviewable:end -->
Automatic merge from submit-queue
Store node information in NodeInfo
This is significantly improving scheduler throughput.
On 1000-node cluster:
- empty cluster: ~70pods/s
- full cluster: ~45pods/s
Drop in throughput is mostly related to priority functions, which I will be looking into next (I already have some PR #24095, but we need for more things before).
This is roughly ~40% increase.
However, we still need better understanding of predicate function, because in my opinion it should be even faster as it is now. I'm going to look into it next week.
@gmarek @hongchaodeng @xiang90
For AWS EBS, a volume can only be attached to a node in the same AZ.
The scheduler must therefore detect if a volume is being attached to a
pod, and ensure that the pod is scheduled on a node in the same AZ as
the volume.
So that the scheduler need not query the cloud provider every time, and
to support decoupled operation (e.g. bare metal) we tag the volume with
our placement labels. This is done automatically by means of an
admission controller on AWS when a PersistentVolume is created backed by
an EBS volume.
Support for tagging GCE PVs will follow.
Pods that specify a volume directly (i.e. without using a
PersistentVolumeClaim) will not currently be scheduled correctly (i.e.
they will be scheduled without zone-awareness).
1. Name default scheduler with name `kube-scheduler`
2. The default scheduler only schedules the pods meeting the following condition:
- the pod has no annotation "scheduler.alpha.kubernetes.io/name: <scheduler-name>"
- the pod has annotation "scheduler.alpha.kubernetes.io/name: kube-scheduler"
update gofmt
update according to @david's review
run hack/test-integration.sh, hack/test-go.sh and local e2e.test
Set the out of disk node condition to unknown in the node controller if
the kubelet does not report its node condition in a long time. Update
node controller unit tests.
Implement a node condition predicate function that checks if a given
node satisfies the conditions defined by the predicate and if it
does, use that node for scheduling pods. The predicate function takes
both NodeReady and NodeOutOfDisk into consideration to determine if a
node is fit for scheduling pods.
The predicate is then passed to the node lister in the scheduler factory
so that the node lister can run the predicate function on the nodes when
schedling pods thereby omitting nodes that does not satisfy the
predicate.
Also update listers test.