The Service API Rest implementation is complex and has to use different
hooks on the REST storage. The status store was making a shallow copy of
the storage before adding the hooks, so it was not inheriting the hooks.
The status store must have the same hooks as the rest store to be able
to handle correctly the allocation and deallocation of ClusterIPs and
nodePorts.
Change-Id: I44be21468d36017f0ec41a8f912b8490f8f13f55
Signed-off-by: Antonio Ojea <aojea@google.com>
addUnschedulablePodBackToBackoffQ happened to put the pod into the backoff
queue because
- the pod was not popped earlier and thus not in flight
- the PodInfo had UnschedulablePlugins set
- determineSchedulingHintForInFlightPod has code for "if UnschedulablePlugins
is set and pod not in flight -> internal error, use backoff"
Relying on such special code is not good. A better way to force backoff is by
recording some concurrent event. isPodWorthRequeuing then calls the
queueHintReturnQueueAfterBackoff function and the pod goes to the backoff
queue.
This fixes a test flake:
[sig-node] DRA [Feature:DynamicResourceAllocation] multiple nodes reallocation [It] works
/nvme/gopath/src/k8s.io/kubernetes/test/e2e/dra/dra.go:552
[FAILED] number of deallocations
Expected
<int64>: 2
to equal
<int64>: 1
In [It] at: /nvme/gopath/src/k8s.io/kubernetes/test/e2e/dra/dra.go:651 @ 09/05/23 14:01:54.652
This can be reproduced locally with
stress -p 10 go test ./test/e2e -args -ginkgo.focus=DynamicResourceAllocation.*reallocation.works -ginkgo.no-color -v=4 -ginkgo.v
Log output showed that the sequence of events leading to this was:
- claim gets allocated because of selected node
- a different node has to be used, so PostFilter sets
claim.status.deallocationRequested
- the driver deallocates
- before the scheduler can react and select a different node,
the driver allocates *again* for the original node
- the scheduler asks for deallocation again
- the driver deallocates again (causing the test failure)
- eventually the pod runs
The fix is to disable allocations first by removing the selected node and then
starting to deallocate.
When some plugin was registered as "unschedulable" in some previous scheduling
attempt, it kept that attribute for a pod forever. When that plugin then later
failed with an error that requires backoff, the pod was incorrectly moved to the
"unschedulable" queue where it got stuck until the periodic flushing because
there was no event that the plugin was waiting for.
Here's an example where that happened:
framework.go:1280: E0831 20:03:47.184243] Reserve/DynamicResources: Plugin failed err="Operation cannot be fulfilled on podschedulingcontexts.resource.k8s.io \"test-dragxd5c\": the object has been modified; please apply your changes to the latest version and try again" node="scheduler-perf-dra-7l2v2" plugin="DynamicResources" pod="test/test-dragxd5c"
schedule_one.go:1001: E0831 20:03:47.184345] Error scheduling pod; retrying err="running Reserve plugin \"DynamicResources\": Operation cannot be fulfilled on podschedulingcontexts.resource.k8s.io \"test-dragxd5c\": the object has been modified; please apply your changes to the latest version and try again" pod="test/test-dragxd5c"
...
scheduling_queue.go:745: I0831 20:03:47.198968] Pod moved to an internal scheduling queue pod="test/test-dragxd5c" event="ScheduleAttemptFailure" queue="Unschedulable" schedulingCycle=9576 hint="QueueSkip"
Pop still needs the information about unschedulable plugins to update the
UnschedulableReason metric. It can reset that information before returning the
PodInfo for the next scheduling attempt.
This uses the generic ptr.To in k8s.io/utils to replace functions and
code constructs which only serve to return pointers to intstr
values. Other uses of the deprecated pointer package are updated in
modified files.
Signed-off-by: Stephen Kitt <skitt@redhat.com>
Instead of modifying the PodSchedulingContext and then creating or updating it,
now the required changes (selected node, potential nodes) are tracked and the
actual input for an API call is created if (and only if) needed at the end.
This makes the code easier to read and change. In particular, replacing the
Update call with Patch or Apply is easy.
