The code paths for adding AllocationTimestamp were not tested well. None of
the test cases verified that an AllocationTimestamp gets added at all because
go-cmp was instructed to ignore the unpredictable field.
We can do better than that and at least check for existence by normalizing all
non-nil time stamps to the empty time. This affects all tests where the binding
conditions and thus AllocationTimestamp support is enabled.
The retry loop for status updates was untested. The fake client has to return a
conflict status error to trigger it. This enables writing a test case where a
concurrent deallocation would have caused the nil panic without the previous
fix.
For binding conditions, one test case gets added which runs through the full
flow of allocating a claim and trying to bind it. All other test cases seem to
have started with the claim already allocated.
Altogether this increases coverage from 82.4% to 83.7%.
* Drop WorkloadRef field and introduce SchedulingGroup field in Pod API
* Introduce v1alpha2 Workload and PodGroup APIs, drop v1alpha1 Workload API
Co-authored-by: yongruilin <yongrlin@outlook.com>
* Run hack/update-codegen.sh
* Adjust kube-scheduler code and integration tests to v1alpha2 API
* Drop v1alpha1 scheduling API group and run make update
---------
Co-authored-by: yongruilin <yongrlin@outlook.com>
When DRAExtendedResource is enabled, the dynamicresources test setup
registers an event handler for DeviceClasses but was not waiting for it
to sync. This can lead to flaky tests where the cache is not fully
populated when the test starts.
This change captures the event handler registration and includes its
DoneChecker in a WaitFor call.
This fixes a bug that caused log calls involving `klog.Logger` to not be
checked.
As a result we have to fix some code that is now considered faulty:
ERROR: pkg/controller/serviceaccount/tokens_controller.go:382:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (e *TokensController) generateTokenIfNeeded(ctx context.Context, logger klog.Logger, serviceAccount *v1.ServiceAccount, cachedSecret *v1.Secret) ( /* retry */ bool, error) {
ERROR: ^
ERROR: pkg/controller/storageversionmigrator/storageversionmigrator.go:299:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (svmc *SVMController) runMigration(ctx context.Context, logger klog.Logger, gvr schema.GroupVersionResource, resourceMonitor *garbagecollector.Monitor, toBeProcessedSVM *svmv1beta1.StorageVersionMigration, listResourceVersion string) (err error, failed bool) {
ERROR: ^
ERROR: pkg/proxy/node.go:121:3: logging function "Error" should not use format specifier "%q" (logcheck)
ERROR: klog.FromContext(ctx).Error(nil, "Timed out waiting for node %q to exist", nodeName)
ERROR: ^
ERROR: pkg/proxy/node.go:123:3: logging function "Error" should not use format specifier "%q" (logcheck)
ERROR: klog.FromContext(ctx).Error(nil, "Timed out waiting for node %q to be assigned IPs", nodeName)
ERROR: ^
ERROR: pkg/scheduler/backend/queue/scheduling_queue.go:610:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (p *PriorityQueue) runPreEnqueuePlugin(ctx context.Context, logger klog.Logger, pl fwk.PreEnqueuePlugin, pInfo *framework.QueuedPodInfo, shouldRecordMetric bool) *fwk.Status {
ERROR: ^
ERROR: pkg/scheduler/framework/plugins/dynamicresources/extendeddynamicresources.go:286:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (pl *DynamicResources) deleteClaim(ctx context.Context, claim *resourceapi.ResourceClaim, logger klog.Logger) error {
ERROR: ^
ERROR: pkg/scheduler/framework/plugins/dynamicresources/extendeddynamicresources.go:499:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (pl *DynamicResources) waitForExtendedClaimInAssumeCache(
ERROR: ^
ERROR: pkg/scheduler/framework/plugins/dynamicresources/extendeddynamicresources.go:528:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (pl *DynamicResources) createExtendedResourceClaimInAPI(
ERROR: ^
ERROR: pkg/scheduler/framework/plugins/dynamicresources/extendeddynamicresources.go:592:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (pl *DynamicResources) unreserveExtendedResourceClaim(ctx context.Context, logger klog.Logger, pod *v1.Pod, state *stateData) {
ERROR: ^
ERROR: pkg/scheduler/framework/runtime/batch.go:171:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (b *OpportunisticBatch) batchStateCompatible(ctx context.Context, logger klog.Logger, pod *v1.Pod, signature fwk.PodSignature, cycleCount int64, state fwk.CycleState, nodeInfos fwk.NodeInfoLister) bool {
ERROR: ^
ERROR: staging/src/k8s.io/component-base/featuregate/feature_gate.go:890:4: Additional arguments to Info should always be Key Value pairs. Please check if there is any key or value missing. (logcheck)
ERROR: logger.Info("Warning: SetEmulationVersionAndMinCompatibilityVersion will change already queried feature", "featureGate", feature, "oldValue", oldVal, newVal)
ERROR: ^
ERROR: test/images/sample-device-plugin/sampledeviceplugin.go:108:2: logging function "Info" should not use format specifier "%s" (logcheck)
ERROR: logger.Info("pluginSocksDir: %s", pluginSocksDir)
ERROR: ^
ERROR: test/images/sample-device-plugin/sampledeviceplugin.go:123:2: logging function "Info" should not use format specifier "%s" (logcheck)
ERROR: logger.Info("CDI_ENABLED: %s", cdiEnabled)
ERROR: ^
While waiting for this to merge, another call was added which also doesn't
follow conventions:
ERROR: pkg/kubelet/kubelet.go:2454:1: A function should accept either a context or a logger, but not both. Having both makes calling the function harder because it must be defined whether the context must contain the logger and callers have to follow that. (logcheck)
ERROR: func (kl *Kubelet) deletePod(ctx context.Context, logger klog.Logger, pod *v1.Pod) error {
ERROR: ^
Contextual logging has been beta and enabled by default for several releases
now. It's mostly just a matter of wrapping up and declaring it GA. Therefore
the calls which directly call WithName or WithValues (always have an effect)
are left as-is instead of converting them to use the klog wrappers (support
disabling the effect). To allow that, the linter gets reconfigured to not
complain about this anymore, anywhere.
The calls which would have to be fixed otherwise are:
ERROR: pkg/kubelet/cm/dra/claiminfo.go:170:11: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger = logger.WithName("dra-claiminfo")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/healthinfo.go:45:11: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger = logger.WithName("dra-healthinfo")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/healthinfo.go:89:11: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger = logger.WithName("dra-healthinfo")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/healthinfo.go:157:11: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger = logger.WithName("dra-healthinfo")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/manager.go:175:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-manager")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/manager.go:239:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-manager")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/manager.go:593:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-manager")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/manager.go:781:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(context.Background()).WithName("dra-manager")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/manager.go:898:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-manager")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/manager_test.go:1638:15: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(streamCtx).WithName(st.Name())
ERROR: ^
ERROR: pkg/kubelet/cm/dra/plugin/dra_plugin.go:77:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-plugin")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/plugin/dra_plugin.go:108:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-plugin")
ERROR: ^
ERROR: pkg/kubelet/cm/dra/plugin/dra_plugin.go:161:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger := klog.FromContext(ctx).WithName("dra-plugin")
ERROR: ^
ERROR: staging/src/k8s.io/dynamic-resource-allocation/resourceslice/tracker/tracker.go:695:14: function "WithValues" should be called through klogr.LoggerWithValues (logcheck)
ERROR: logger := logger.WithValues("device", deviceID)
ERROR: ^
ERROR: test/integration/apiserver/watchcache_test.go:42:54: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: etcd0URL, stopEtcd0, err := framework.RunCustomEtcd(klog.FromContext(ctx).WithName("etcd0"), "etcd_watchcache0", etcdArgs)
ERROR: ^
ERROR: test/integration/apiserver/watchcache_test.go:47:54: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: etcd1URL, stopEtcd1, err := framework.RunCustomEtcd(klog.FromContext(ctx).WithName("etcd1"), "etcd_watchcache1", etcdArgs)
ERROR: ^
ERROR: test/integration/scheduler_perf/scheduler_perf.go:1149:12: function "WithName" should be called through klogr.LoggerWithName (logcheck)
ERROR: logger = logger.WithName(tCtx.Name())
ERROR: ^
The assume cache logs adding assumed claims at V(4) but there wasn't anything
about in-flight claims in the log for a scheduling failure where the same
device was allocated twice (https://github.com/kubernetes/kubernetes/issues/133602).
Debugging that issue depends on seeing all changes related to assume cache
changes (not just the single "Assumed object") and in-flight claims. We could
make them all V(4) (= "debug level") but they seem more appropriate for V(5) (=
"trace level"), so the assume cache verbosity gets toned down to that.
This change allows the preemption to preempt a pod that is not yet
bound, but is already in prebind phase) without issuing a delete call to the
apiserver.
Pods are added to a special map of pods currently in prebind phaseand
preemption can cancel the context that is used for given pod prebind phase ,
allowing it to gracefully handle error in the same manner as errors
coming out from prebind plugins. This results in pods being pushed to
backoff queue, allowing them to be rescheduled in upcoming scheduling
cycles.
Add integration tests for gang and basic policy workload scheduling
Add more tests for cluster snapshot
Proceed to binding cycle just after pod group cycle
Enforce one scheduler name per pod group, rename workload cycle to pod group cycle
Add unit tests for pod group scheduling cycle
Run ScheduleOne tests treating pod as part of a pod group
Rename NeedsPodGroupCycle to NeedsPodGroupScheduling
Observe correct per-pod and per-podgroup metrics during pod group cycle
Rename pod group algorithm status to waiting_on_preemption
Mention forgotAllAssumedPods is a safety check
Defer statements were incorrectly recording near-zero duration values (~2
microseconds) instead of actual elapsed time because arguments to deferred
functions are evaluated immediately when the defer statement is executed.
Solution: Added HistogramVec.ObserveSince() API that properly handles
deferred duration measurement, and replaced all problematic patterns.
The new API pattern:
defer metric.ObserveSince(time.Now(), labels)()
Also deprecated SinceInSeconds() with warnings about incorrect defer usage.
Fixes: Incorrect HTTP request duration metrics in kubelet
The previous incubating becomes stable, experimental the new incubating. Now
experimental and incubating are identical until we merge more experimental
changes again.
Specifically, these commands where used:
rm -rf stable
mv incubating stable
mv stable/allocator_incubating.go stable/allocator_stable.go
mv stable/pools_incubating.go stable/pools_stable.go
sed -i -e 's/package incubating/package stable/' stable/*.go
cp -a experimental incubating
mv incubating/allocator_experimental.go incubating/allocator_incubating.go
mv incubating/pools_experimental.go incubating/pools_incubating.go
sed -i -e 's/package experimental/package incubating/' incubating/*.go
Some other packages then need to be adapted, in particular the
TestAllocatorSelection test.
GatherAllocatedState and ListAllAllocatedDevices need to collect information
from different sources (allocated devices, in-flight claims), potentially even
multiple times (GatherAllocatedState first gets allocated devices, then the
capacities).
The underlying assumption that nothing bad happens in parallel is not always
true. The following log snippet shows how an update of the assume
cache (feeding the allocated devices tracker) and in-flight claims lands such
that GatherAllocatedState doesn't see the device in that claim as allocated:
dra_manager.go:263: I0115 15:11:04.407714 18778] scheduler: Starting GatherAllocatedState
...
allocateddevices.go:189: I0115 15:11:04.407945 18066] scheduler: Observed device allocation device="testdra-all-usesallresources-hvs5d.driver/worker-5/worker-5-device-094" claim="testdra-all-usesallresources-hvs5d/claim-0553"
dynamicresources.go:1150: I0115 15:11:04.407981 89109] scheduler: Claim stored in assume cache pod="testdra-all-usesallresources-hvs5d/my-pod-0553" claim="testdra-all-usesallresources-hvs5d/claim-0553" uid=<types.UID>: a84d3c4d-f752-4cfd-8993-f4ce58643685 resourceVersion="5680"
dra_manager.go:201: I0115 15:11:04.408008 89109] scheduler: Removed in-flight claim claim="testdra-all-usesallresources-hvs5d/claim-0553" uid=<types.UID>: a84d3c4d-f752-4cfd-8993-f4ce58643685 version="1211"
dynamicresources.go:1157: I0115 15:11:04.408044 89109] scheduler: Removed claim from in-flight claims pod="testdra-all-usesallresources-hvs5d/my-pod-0553" claim="testdra-all-usesallresources-hvs5d/claim-0553" uid=<types.UID>: a84d3c4d-f752-4cfd-8993-f4ce58643685 resourceVersion="5680" allocation=<
{
"devices": {
"results": [
{
"request": "req-1",
"driver": "testdra-all-usesallresources-hvs5d.driver",
"pool": "worker-5",
"device": "worker-5-device-094"
}
]
},
"nodeSelector": {
"nodeSelectorTerms": [
{
"matchFields": [
{
"key": "metadata.name",
"operator": "In",
"values": [
"worker-5"
]
}
]
}
]
},
"allocationTimestamp": "2026-01-15T14:11:04Z"
}
>
dra_manager.go:280: I0115 15:11:04.408085 18778] scheduler: Device is in flight for allocation device="testdra-all-usesallresources-hvs5d.driver/worker-5/worker-5-device-095" claim="testdra-all-usesallresources-hvs5d/claim-0086"
dra_manager.go:280: I0115 15:11:04.408137 18778] scheduler: Device is in flight for allocation device="testdra-all-usesallresources-hvs5d.driver/worker-5/worker-5-device-096" claim="testdra-all-usesallresources-hvs5d/claim-0165"
default_binder.go:69: I0115 15:11:04.408175 89109] scheduler: Attempting to bind pod to node pod="testdra-all-usesallresources-hvs5d/my-pod-0553" node="worker-5"
dra_manager.go:265: I0115 15:11:04.408264 18778] scheduler: Finished GatherAllocatedState allocatedDevices=<map[string]interface {} | len:2>: {
Initial state: "worker-5-device-094" is in-flight, not in cache
- goroutine #1: starts GatherAllocatedState, copies cache
- goroutine #2: adds to assume cache, removes from in-flight
- goroutine #1: checks in-flight
=> device never seen as allocated
This is the second reason for double allocation of the same device in two
different claims. The other was timing in the assume cache. Both were
tracked down with an integration test (separate commit). It did not fail
all the time, but enough that regressions should show up as flakes.