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ResultSUCCESS
Tests 7 failed / 57 succeeded
Started2022-11-21 00:55
Elapsed4h27m
Revisionmain

Test Failures

Kubernetes e2e suite [It] [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: CPU) [Serial] [Slow] Deployment (Pod Resource) Should scale from 1 pod to 3 pods and then from 3 pods to 5 pods using Average Utilization for aggregation 15m40s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-autoscaling\]\s\[Feature\:HPA\]\sHorizontal\spod\sautoscaling\s\(scale\sresource\:\sCPU\)\s\[Serial\]\s\[Slow\]\sDeployment\s\(Pod\sResource\)\sShould\sscale\sfrom\s1\spod\sto\s3\spods\sand\sthen\sfrom\s3\spods\sto\s5\spods\susing\sAverage\sUtilization\sfor\saggregation$'
test/e2e/autoscaling/horizontal_pod_autoscaling.go:209
k8s.io/kubernetes/test/e2e/autoscaling.(*HPAScaleTest).run(0xc0050b3e68, {0x75e2251?, 0xc0035167e0?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, 0xc000954e10)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:209 +0x2d8
k8s.io/kubernetes/test/e2e/autoscaling.scaleUp({0x75e2251?, 0x62b7ee5?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, {0x75b659b, 0x3}, ...)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:249 +0x212
k8s.io/kubernetes/test/e2e/autoscaling.glob..func6.1.1()
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:50 +0x88
				
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Kubernetes e2e suite [It] [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: CPU) [Serial] [Slow] Deployment (Pod Resource) Should scale from 1 pod to 3 pods and then from 3 pods to 5 pods using Average Value for aggregation 15m42s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-autoscaling\]\s\[Feature\:HPA\]\sHorizontal\spod\sautoscaling\s\(scale\sresource\:\sCPU\)\s\[Serial\]\s\[Slow\]\sDeployment\s\(Pod\sResource\)\sShould\sscale\sfrom\s1\spod\sto\s3\spods\sand\sthen\sfrom\s3\spods\sto\s5\spods\susing\sAverage\sValue\sfor\saggregation$'
test/e2e/autoscaling/horizontal_pod_autoscaling.go:209
k8s.io/kubernetes/test/e2e/autoscaling.(*HPAScaleTest).run(0xc000f2fe68, {0x75e2251?, 0xc0046f9680?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, 0xc000954e10)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:209 +0x2d8
k8s.io/kubernetes/test/e2e/autoscaling.scaleUp({0x75e2251?, 0x62b7ee5?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, {0x75b659b, 0x3}, ...)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:249 +0x212
k8s.io/kubernetes/test/e2e/autoscaling.glob..func6.1.3()
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:56 +0x88
				
				Click to see stdout/stderrfrom junit.kubetest.01.xml

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Kubernetes e2e suite [It] [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: CPU) [Serial] [Slow] ReplicationController Should scale from 1 pod to 3 pods and then from 3 pods to 5 pods and verify decision stability 15m41s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-autoscaling\]\s\[Feature\:HPA\]\sHorizontal\spod\sautoscaling\s\(scale\sresource\:\sCPU\)\s\[Serial\]\s\[Slow\]\sReplicationController\sShould\sscale\sfrom\s1\spod\sto\s3\spods\sand\sthen\sfrom\s3\spods\sto\s5\spods\sand\sverify\sdecision\sstability$'
test/e2e/autoscaling/horizontal_pod_autoscaling.go:209
k8s.io/kubernetes/test/e2e/autoscaling.(*HPAScaleTest).run(0xc000f29e68, {0x75b5632?, 0xc0035b2d20?}, {{0x0, 0x0}, {0x75b567c, 0x2}, {0x7605c17, 0x15}}, 0xc000954e10)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:209 +0x2d8
k8s.io/kubernetes/test/e2e/autoscaling.scaleUp({0x75b5632?, 0x62b7ee5?}, {{0x0, 0x0}, {0x75b567c, 0x2}, {0x7605c17, 0x15}}, {0x75b659b, 0x3}, ...)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:249 +0x212
k8s.io/kubernetes/test/e2e/autoscaling.glob..func6.4.1()
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:81 +0x8b
				
				Click to see stdout/stderrfrom junit.kubetest.01.xml

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Kubernetes e2e suite [It] [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: CPU) [Serial] [Slow] ReplicationController Should scale from 5 pods to 3 pods and then from 3 pods to 1 pod and verify decision stability 16m39s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-autoscaling\]\s\[Feature\:HPA\]\sHorizontal\spod\sautoscaling\s\(scale\sresource\:\sCPU\)\s\[Serial\]\s\[Slow\]\sReplicationController\sShould\sscale\sfrom\s5\spods\sto\s3\spods\sand\sthen\sfrom\s3\spods\sto\s1\spod\sand\sverify\sdecision\sstability$'
test/e2e/autoscaling/horizontal_pod_autoscaling.go:83

------------------------------
This is the Progress Report generated when the timeout occurred:
  [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: CPU) [Serial] [Slow] ReplicationController Should scale from 5 pods to 3 pods and then from 3 pods to 1 pod and verify decision stability (Spec Runtime: 16m38.584s)
    test/e2e/autoscaling/horizontal_pod_autoscaling.go:83
    In [It] (Node Runtime: 16m38.383s)
      test/e2e/autoscaling/horizontal_pod_autoscaling.go:83
      At [By Step] creating replication controller rc-ctrl in namespace horizontal-pod-autoscaling-4675 (Step Runtime: 16m28.164s)
        test/e2e/framework/rc/rc_utils.go:85

      Spec Goroutine
      goroutine 13644 [select]
        k8s.io/kubernetes/vendor/k8s.io/apimachinery/pkg/util/wait.WaitForWithContext({0x7fe0bc8, 0xc000130000}, 0xc004a18858, 0x2fdb16a?)
          vendor/k8s.io/apimachinery/pkg/util/wait/wait.go:660
        k8s.io/kubernetes/vendor/k8s.io/apimachinery/pkg/util/wait.poll({0x7fe0bc8, 0xc000130000}, 0xb0?, 0x2fd9d05?, 0x10?)
          vendor/k8s.io/apimachinery/pkg/util/wait/wait.go:596
        k8s.io/kubernetes/vendor/k8s.io/apimachinery/pkg/util/wait.PollImmediateWithContext({0x7fe0bc8, 0xc000130000}, 0xc004f75c20?, 0xc004f75c00?, 0x262a967?)
          vendor/k8s.io/apimachinery/pkg/util/wait/wait.go:528
        k8s.io/kubernetes/vendor/k8s.io/apimachinery/pkg/util/wait.PollImmediate(0x75b521a?, 0x2?, 0x2622c40?)
          vendor/k8s.io/apimachinery/pkg/util/wait/wait.go:514
        k8s.io/kubernetes/test/e2e/framework/autoscaling.(*ResourceConsumer).WaitForReplicas(0xc00483ab40, 0x1, 0x767e4ac?)
          test/e2e/framework/autoscaling/autoscaling_utils.go:478
      > k8s.io/kubernetes/test/e2e/autoscaling.(*HPAScaleTest).run(0xc004f75e68, {0x75b5632?, 0xc002c3b560?}, {{0x0, 0x0}, {0x75b567c, 0x2}, {0x7605c17, 0x15}}, 0xc000954e10)
          test/e2e/autoscaling/horizontal_pod_autoscaling.go:215
      > k8s.io/kubernetes/test/e2e/autoscaling.scaleDown({0x75b5632?, 0x62b7ee5?}, {{0x0, 0x0}, {0x75b567c, 0x2}, {0x7605c17, 0x15}}, {0x75b659b, 0x3}, ...)
          test/e2e/autoscaling/horizontal_pod_autoscaling.go:279
      > k8s.io/kubernetes/test/e2e/autoscaling.glob..func6.4.2()
          test/e2e/autoscaling/horizontal_pod_autoscaling.go:84
        k8s.io/kubernetes/vendor/github.com/onsi/ginkgo/v2/internal.extractBodyFunction.func3({0xc0037de090, 0xc0054552c0})
          vendor/github.com/onsi/ginkgo/v2/internal/node.go:449
        k8s.io/kubernetes/vendor/github.com/onsi/ginkgo/v2/internal.(*Suite).runNode.func2()
          vendor/github.com/onsi/ginkgo/v2/internal/suite.go:750
        k8s.io/kubernetes/vendor/github.com/onsi/ginkgo/v2/internal.(*Suite).runNode
          vendor/github.com/onsi/ginkgo/v2/internal/suite.go:738
------------------------------

				from junit.kubetest.01.xml

Find autoscaling mentions in log files | View test history on testgrid

Kubernetes e2e suite [It] [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: Memory) [Serial] [Slow] Deployment (Pod Resource) Should scale from 1 pod to 3 pods and then from 3 pods to 5 pods using Average Utilization for aggregation 15m41s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-autoscaling\]\s\[Feature\:HPA\]\sHorizontal\spod\sautoscaling\s\(scale\sresource\:\sMemory\)\s\[Serial\]\s\[Slow\]\sDeployment\s\(Pod\sResource\)\sShould\sscale\sfrom\s1\spod\sto\s3\spods\sand\sthen\sfrom\s3\spods\sto\s5\spods\susing\sAverage\sUtilization\sfor\saggregation$'
test/e2e/autoscaling/horizontal_pod_autoscaling.go:209
k8s.io/kubernetes/test/e2e/autoscaling.(*HPAScaleTest).run(0xc0047a5e68, {0x75e2251?, 0xc004a056e0?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, 0xc000954f00)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:209 +0x2d8
k8s.io/kubernetes/test/e2e/autoscaling.scaleUp({0x75e2251?, 0x62b7ee5?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, {0x75bc0b7, 0x6}, ...)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:249 +0x212
k8s.io/kubernetes/test/e2e/autoscaling.glob..func7.1.1()
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:155 +0x88
				
				Click to see stdout/stderrfrom junit.kubetest.01.xml

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Kubernetes e2e suite [It] [sig-autoscaling] [Feature:HPA] Horizontal pod autoscaling (scale resource: Memory) [Serial] [Slow] Deployment (Pod Resource) Should scale from 1 pod to 3 pods and then from 3 pods to 5 pods using Average Value for aggregation 15m41s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-autoscaling\]\s\[Feature\:HPA\]\sHorizontal\spod\sautoscaling\s\(scale\sresource\:\sMemory\)\s\[Serial\]\s\[Slow\]\sDeployment\s\(Pod\sResource\)\sShould\sscale\sfrom\s1\spod\sto\s3\spods\sand\sthen\sfrom\s3\spods\sto\s5\spods\susing\sAverage\sValue\sfor\saggregation$'
test/e2e/autoscaling/horizontal_pod_autoscaling.go:209
k8s.io/kubernetes/test/e2e/autoscaling.(*HPAScaleTest).run(0xc003ab3e68, {0x75e2251?, 0xc0057d4840?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, 0xc000954f00)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:209 +0x2d8
k8s.io/kubernetes/test/e2e/autoscaling.scaleUp({0x75e2251?, 0x62b7ee5?}, {{0x75b7352, 0x4}, {0x75c0585, 0x7}, {0x75c8a66, 0xa}}, {0x75bc0b7, 0x6}, ...)
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:249 +0x212
k8s.io/kubernetes/test/e2e/autoscaling.glob..func7.1.2()
	test/e2e/autoscaling/horizontal_pod_autoscaling.go:158 +0x88
				
				Click to see stdout/stderrfrom junit.kubetest.01.xml

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Kubernetes e2e suite [It] [sig-scheduling] SchedulerPreemption [Serial] validates pod disruption condition is added to the preempted pod 6m8s

go run hack/e2e.go -v --test --test_args='--ginkgo.focus=Kubernetes\se2e\ssuite\s\[It\]\s\[sig\-scheduling\]\sSchedulerPreemption\s\[Serial\]\svalidates\spod\sdisruption\scondition\sis\sadded\sto\sthe\spreempted\spod$'
test/e2e/scheduling/preemption.go:383
k8s.io/kubernetes/test/e2e/scheduling.glob..func5.5()
	test/e2e/scheduling/preemption.go:383 +0xa52
				
				Click to see stdout/stderrfrom junit.kubetest.01.xml

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Show 57 Passed Tests
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