mirror of
https://github.com/optim-enterprises-bv/kubernetes.git
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1076 lines
33 KiB
Go
1076 lines
33 KiB
Go
/*
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Copyright 2015 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package podautoscaler
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import (
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"encoding/json"
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"fmt"
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"io"
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"math"
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"strconv"
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"strings"
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"sync"
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"testing"
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"time"
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autoscalingv1 "k8s.io/api/autoscaling/v1"
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autoscalingv2 "k8s.io/api/autoscaling/v2beta1"
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"k8s.io/api/core/v1"
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"k8s.io/apimachinery/pkg/api/meta/testrestmapper"
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"k8s.io/apimachinery/pkg/api/resource"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/labels"
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"k8s.io/apimachinery/pkg/runtime"
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"k8s.io/apimachinery/pkg/watch"
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"k8s.io/client-go/informers"
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"k8s.io/client-go/kubernetes/fake"
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restclient "k8s.io/client-go/rest"
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scalefake "k8s.io/client-go/scale/fake"
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core "k8s.io/client-go/testing"
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"k8s.io/kubernetes/pkg/api/legacyscheme"
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"k8s.io/kubernetes/pkg/controller"
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"k8s.io/kubernetes/pkg/controller/podautoscaler/metrics"
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heapster "k8s.io/heapster/metrics/api/v1/types"
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metricsapi "k8s.io/metrics/pkg/apis/metrics/v1alpha1"
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"github.com/stretchr/testify/assert"
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_ "k8s.io/kubernetes/pkg/apis/apps/install"
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_ "k8s.io/kubernetes/pkg/apis/autoscaling/install"
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_ "k8s.io/kubernetes/pkg/apis/core/install"
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)
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func (w fakeResponseWrapper) DoRaw() ([]byte, error) {
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return w.raw, nil
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}
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func (w fakeResponseWrapper) Stream() (io.ReadCloser, error) {
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return nil, nil
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}
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func newFakeResponseWrapper(raw []byte) fakeResponseWrapper {
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return fakeResponseWrapper{raw: raw}
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}
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type fakeResponseWrapper struct {
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raw []byte
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}
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type legacyTestCase struct {
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sync.Mutex
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minReplicas int32
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maxReplicas int32
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initialReplicas int32
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desiredReplicas int32
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// CPU target utilization as a percentage of the requested resources.
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CPUTarget int32
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CPUCurrent int32
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verifyCPUCurrent bool
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reportedLevels []uint64
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reportedCPURequests []resource.Quantity
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reportedPodReadiness []v1.ConditionStatus
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scaleUpdated bool
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statusUpdated bool
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eventCreated bool
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verifyEvents bool
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useMetricsAPI bool
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metricsTarget []autoscalingv2.MetricSpec
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// Channel with names of HPA objects which we have reconciled.
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processed chan string
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// Target resource information.
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resource *fakeResource
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// Last scale time
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lastScaleTime *metav1.Time
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recommendations []timestampedRecommendation
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finished bool
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}
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// Needs to be called under a lock.
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func (tc *legacyTestCase) computeCPUCurrent() {
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if len(tc.reportedLevels) != len(tc.reportedCPURequests) || len(tc.reportedLevels) == 0 {
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return
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}
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reported := 0
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for _, r := range tc.reportedLevels {
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reported += int(r)
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}
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requested := 0
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for _, req := range tc.reportedCPURequests {
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requested += int(req.MilliValue())
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}
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tc.CPUCurrent = int32(100 * reported / requested)
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}
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func (tc *legacyTestCase) prepareTestClient(t *testing.T) (*fake.Clientset, *scalefake.FakeScaleClient) {
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namespace := "test-namespace"
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hpaName := "test-hpa"
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podNamePrefix := "test-pod"
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labelSet := map[string]string{"name": podNamePrefix}
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selector := labels.SelectorFromSet(labelSet).String()
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tc.Lock()
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tc.scaleUpdated = false
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tc.statusUpdated = false
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tc.eventCreated = false
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tc.processed = make(chan string, 100)
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if tc.CPUCurrent == 0 {
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tc.computeCPUCurrent()
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}
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if tc.resource == nil {
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tc.resource = &fakeResource{
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name: "test-rc",
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apiVersion: "v1",
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kind: "ReplicationController",
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}
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}
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tc.Unlock()
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fakeClient := &fake.Clientset{}
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fakeClient.AddReactor("list", "horizontalpodautoscalers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := &autoscalingv2.HorizontalPodAutoscalerList{
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Items: []autoscalingv2.HorizontalPodAutoscaler{
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{
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ObjectMeta: metav1.ObjectMeta{
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Name: hpaName,
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Namespace: namespace,
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SelfLink: "experimental/v1/namespaces/" + namespace + "/horizontalpodautoscalers/" + hpaName,
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},
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Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
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ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
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Kind: tc.resource.kind,
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Name: tc.resource.name,
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APIVersion: tc.resource.apiVersion,
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},
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MinReplicas: &tc.minReplicas,
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MaxReplicas: tc.maxReplicas,
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},
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Status: autoscalingv2.HorizontalPodAutoscalerStatus{
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CurrentReplicas: tc.initialReplicas,
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DesiredReplicas: tc.initialReplicas,
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},
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},
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},
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}
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if tc.CPUTarget > 0.0 {
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obj.Items[0].Spec.Metrics = []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ResourceMetricSourceType,
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Resource: &autoscalingv2.ResourceMetricSource{
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Name: v1.ResourceCPU,
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TargetAverageUtilization: &tc.CPUTarget,
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},
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},
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}
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}
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if len(tc.metricsTarget) > 0 {
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obj.Items[0].Spec.Metrics = append(obj.Items[0].Spec.Metrics, tc.metricsTarget...)
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}
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if len(obj.Items[0].Spec.Metrics) == 0 {
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// manually add in the defaulting logic
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obj.Items[0].Spec.Metrics = []autoscalingv2.MetricSpec{
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{
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Type: autoscalingv2.ResourceMetricSourceType,
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Resource: &autoscalingv2.ResourceMetricSource{
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Name: v1.ResourceCPU,
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},
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},
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}
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}
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// and... convert to autoscaling v1 to return the right type
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objv1, err := unsafeConvertToVersionVia(obj, autoscalingv1.SchemeGroupVersion)
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if err != nil {
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return true, nil, err
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}
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return true, objv1, nil
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})
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fakeClient.AddReactor("list", "pods", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := &v1.PodList{}
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for i := 0; i < len(tc.reportedCPURequests); i++ {
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podReadiness := v1.ConditionTrue
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if tc.reportedPodReadiness != nil {
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podReadiness = tc.reportedPodReadiness[i]
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}
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podName := fmt.Sprintf("%s-%d", podNamePrefix, i)
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pod := v1.Pod{
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Status: v1.PodStatus{
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StartTime: &metav1.Time{Time: time.Now().Add(-3 * time.Minute)},
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Phase: v1.PodRunning,
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Conditions: []v1.PodCondition{
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{
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Type: v1.PodReady,
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Status: podReadiness,
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},
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},
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},
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ObjectMeta: metav1.ObjectMeta{
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Name: podName,
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Namespace: namespace,
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Labels: map[string]string{
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"name": podNamePrefix,
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},
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},
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Spec: v1.PodSpec{
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Containers: []v1.Container{
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{
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Resources: v1.ResourceRequirements{
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Requests: v1.ResourceList{
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v1.ResourceCPU: tc.reportedCPURequests[i],
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},
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},
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},
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},
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},
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}
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obj.Items = append(obj.Items, pod)
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}
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return true, obj, nil
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})
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fakeClient.AddProxyReactor("services", func(action core.Action) (handled bool, ret restclient.ResponseWrapper, err error) {
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tc.Lock()
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defer tc.Unlock()
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var heapsterRawMemResponse []byte
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if tc.useMetricsAPI {
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metrics := metricsapi.PodMetricsList{}
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for i, cpu := range tc.reportedLevels {
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podMetric := metricsapi.PodMetrics{
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ObjectMeta: metav1.ObjectMeta{
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Name: fmt.Sprintf("%s-%d", podNamePrefix, i),
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Namespace: namespace,
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},
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Timestamp: metav1.Time{Time: time.Now()},
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Containers: []metricsapi.ContainerMetrics{
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{
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Name: "container",
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Usage: v1.ResourceList{
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v1.ResourceCPU: *resource.NewMilliQuantity(
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int64(cpu),
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resource.DecimalSI),
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v1.ResourceMemory: *resource.NewQuantity(
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int64(1024*1024),
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resource.BinarySI),
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},
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},
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},
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}
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metrics.Items = append(metrics.Items, podMetric)
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}
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heapsterRawMemResponse, _ = json.Marshal(&metrics)
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} else {
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// only return the pods that we actually asked for
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proxyAction := action.(core.ProxyGetAction)
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pathParts := strings.Split(proxyAction.GetPath(), "/")
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// pathParts should look like [ api, v1, model, namespaces, $NS, pod-list, $PODS, metrics, $METRIC... ]
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if len(pathParts) < 9 {
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return true, nil, fmt.Errorf("invalid heapster path %q", proxyAction.GetPath())
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}
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podNames := strings.Split(pathParts[7], ",")
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podPresent := make([]bool, len(tc.reportedLevels))
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for _, name := range podNames {
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if len(name) <= len(podNamePrefix)+1 {
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return true, nil, fmt.Errorf("unknown pod %q", name)
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}
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num, err := strconv.Atoi(name[len(podNamePrefix)+1:])
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if err != nil {
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return true, nil, fmt.Errorf("unknown pod %q", name)
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}
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podPresent[num] = true
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}
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timestamp := time.Now()
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metrics := heapster.MetricResultList{}
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for i, level := range tc.reportedLevels {
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if !podPresent[i] {
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continue
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}
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metric := heapster.MetricResult{
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Metrics: []heapster.MetricPoint{{Timestamp: timestamp, Value: level, FloatValue: nil}},
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LatestTimestamp: timestamp,
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}
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metrics.Items = append(metrics.Items, metric)
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}
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heapsterRawMemResponse, _ = json.Marshal(&metrics)
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}
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return true, newFakeResponseWrapper(heapsterRawMemResponse), nil
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})
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fakeClient.AddReactor("update", "horizontalpodautoscalers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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obj := func() *autoscalingv1.HorizontalPodAutoscaler {
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tc.Lock()
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defer tc.Unlock()
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obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.HorizontalPodAutoscaler)
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assert.Equal(t, namespace, obj.Namespace, "the HPA namespace should be as expected")
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assert.Equal(t, hpaName, obj.Name, "the HPA name should be as expected")
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assert.Equal(t, tc.desiredReplicas, obj.Status.DesiredReplicas, "the desired replica count reported in the object status should be as expected")
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if tc.verifyCPUCurrent {
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if assert.NotNil(t, obj.Status.CurrentCPUUtilizationPercentage, "the reported CPU utilization percentage should be non-nil") {
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assert.Equal(t, tc.CPUCurrent, *obj.Status.CurrentCPUUtilizationPercentage, "the report CPU utilization percentage should be as expected")
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}
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}
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tc.statusUpdated = true
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return obj
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}()
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// Every time we reconcile HPA object we are updating status.
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tc.processed <- obj.Name
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return true, obj, nil
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})
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fakeScaleClient := &scalefake.FakeScaleClient{}
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fakeScaleClient.AddReactor("get", "replicationcontrollers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := &autoscalingv1.Scale{
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ObjectMeta: metav1.ObjectMeta{
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Name: tc.resource.name,
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Namespace: namespace,
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},
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Spec: autoscalingv1.ScaleSpec{
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Replicas: tc.initialReplicas,
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},
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Status: autoscalingv1.ScaleStatus{
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Replicas: tc.initialReplicas,
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Selector: selector,
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},
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}
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return true, obj, nil
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})
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fakeScaleClient.AddReactor("get", "deployments", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := &autoscalingv1.Scale{
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ObjectMeta: metav1.ObjectMeta{
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Name: tc.resource.name,
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Namespace: namespace,
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},
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Spec: autoscalingv1.ScaleSpec{
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Replicas: tc.initialReplicas,
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},
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Status: autoscalingv1.ScaleStatus{
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Replicas: tc.initialReplicas,
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Selector: selector,
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},
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}
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return true, obj, nil
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})
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fakeScaleClient.AddReactor("get", "replicasets", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := &autoscalingv1.Scale{
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ObjectMeta: metav1.ObjectMeta{
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Name: tc.resource.name,
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Namespace: namespace,
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},
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Spec: autoscalingv1.ScaleSpec{
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Replicas: tc.initialReplicas,
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},
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Status: autoscalingv1.ScaleStatus{
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Replicas: tc.initialReplicas,
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Selector: selector,
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},
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}
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return true, obj, nil
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})
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fakeScaleClient.AddReactor("update", "replicationcontrollers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale)
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replicas := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale).Spec.Replicas
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assert.Equal(t, tc.desiredReplicas, replicas, "the replica count of the RC should be as expected")
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tc.scaleUpdated = true
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return true, obj, nil
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})
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fakeScaleClient.AddReactor("update", "deployments", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale)
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replicas := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale).Spec.Replicas
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assert.Equal(t, tc.desiredReplicas, replicas, "the replica count of the deployment should be as expected")
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tc.scaleUpdated = true
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return true, obj, nil
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})
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fakeScaleClient.AddReactor("update", "replicasets", func(action core.Action) (handled bool, ret runtime.Object, err error) {
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tc.Lock()
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defer tc.Unlock()
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obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale)
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replicas := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale).Spec.Replicas
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assert.Equal(t, tc.desiredReplicas, replicas, "the replica count of the replicaset should be as expected")
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tc.scaleUpdated = true
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return true, obj, nil
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})
|
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|
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fakeWatch := watch.NewFake()
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fakeClient.AddWatchReactor("*", core.DefaultWatchReactor(fakeWatch, nil))
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|
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return fakeClient, fakeScaleClient
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}
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|
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func (tc *legacyTestCase) verifyResults(t *testing.T) {
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tc.Lock()
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defer tc.Unlock()
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assert.Equal(t, tc.initialReplicas != tc.desiredReplicas, tc.scaleUpdated, "the scale should only be updated if we expected a change in replicas")
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assert.True(t, tc.statusUpdated, "the status should have been updated")
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if tc.verifyEvents {
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assert.Equal(t, tc.initialReplicas != tc.desiredReplicas, tc.eventCreated, "an event should have been created only if we expected a change in replicas")
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}
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}
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|
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func (tc *legacyTestCase) runTest(t *testing.T) {
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testClient, testScaleClient := tc.prepareTestClient(t)
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metricsClient := metrics.NewHeapsterMetricsClient(testClient, metrics.DefaultHeapsterNamespace, metrics.DefaultHeapsterScheme, metrics.DefaultHeapsterService, metrics.DefaultHeapsterPort)
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eventClient := &fake.Clientset{}
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eventClient.AddReactor("*", "events", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
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tc.Lock()
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defer tc.Unlock()
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|
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if tc.finished {
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return true, &v1.Event{}, nil
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}
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create, ok := action.(core.CreateAction)
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if !ok {
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return false, nil, nil
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}
|
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obj := create.GetObject().(*v1.Event)
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if tc.verifyEvents {
|
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switch obj.Reason {
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case "SuccessfulRescale":
|
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assert.Equal(t, fmt.Sprintf("New size: %d; reason: cpu resource utilization (percentage of request) above target", tc.desiredReplicas), obj.Message)
|
|
case "DesiredReplicasComputed":
|
|
assert.Equal(t, fmt.Sprintf(
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"Computed the desired num of replicas: %d (avgCPUutil: %d, current replicas: %d)",
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tc.desiredReplicas,
|
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(int64(tc.reportedLevels[0])*100)/tc.reportedCPURequests[0].MilliValue(), tc.initialReplicas), obj.Message)
|
|
default:
|
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assert.False(t, true, fmt.Sprintf("Unexpected event: %s / %s", obj.Reason, obj.Message))
|
|
}
|
|
}
|
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tc.eventCreated = true
|
|
return true, obj, nil
|
|
})
|
|
|
|
informerFactory := informers.NewSharedInformerFactory(testClient, controller.NoResyncPeriodFunc())
|
|
defaultDownscaleStabilisationWindow := 5 * time.Minute
|
|
|
|
hpaController := NewHorizontalController(
|
|
eventClient.CoreV1(),
|
|
testScaleClient,
|
|
testClient.AutoscalingV1(),
|
|
testrestmapper.TestOnlyStaticRESTMapper(legacyscheme.Scheme),
|
|
metricsClient,
|
|
informerFactory.Autoscaling().V1().HorizontalPodAutoscalers(),
|
|
informerFactory.Core().V1().Pods(),
|
|
controller.NoResyncPeriodFunc(),
|
|
defaultDownscaleStabilisationWindow,
|
|
defaultTestingTolerance,
|
|
defaultTestingCpuInitializationPeriod,
|
|
defaultTestingDelayOfInitialReadinessStatus,
|
|
)
|
|
hpaController.hpaListerSynced = alwaysReady
|
|
|
|
if tc.recommendations != nil {
|
|
hpaController.recommendations["test-namespace/test-hpa"] = tc.recommendations
|
|
}
|
|
|
|
stop := make(chan struct{})
|
|
defer close(stop)
|
|
informerFactory.Start(stop)
|
|
go hpaController.Run(stop)
|
|
|
|
// Wait for HPA to be processed.
|
|
<-tc.processed
|
|
tc.Lock()
|
|
tc.finished = true
|
|
if tc.verifyEvents {
|
|
tc.Unlock()
|
|
// We need to wait for events to be broadcasted (sleep for longer than record.sleepDuration).
|
|
time.Sleep(2 * time.Second)
|
|
} else {
|
|
tc.Unlock()
|
|
}
|
|
tc.verifyResults(t)
|
|
|
|
}
|
|
|
|
func TestLegacyScaleUp(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 5,
|
|
CPUTarget: 30,
|
|
verifyCPUCurrent: true,
|
|
reportedLevels: []uint64{300, 500, 700},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpUnreadyLessScale(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 4,
|
|
CPUTarget: 30,
|
|
verifyCPUCurrent: false,
|
|
reportedLevels: []uint64{300, 500, 700},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
reportedPodReadiness: []v1.ConditionStatus{v1.ConditionFalse, v1.ConditionTrue, v1.ConditionTrue},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpUnreadyNoScale(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 3,
|
|
CPUTarget: 30,
|
|
CPUCurrent: 40,
|
|
verifyCPUCurrent: true,
|
|
reportedLevels: []uint64{400, 500, 700},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
reportedPodReadiness: []v1.ConditionStatus{v1.ConditionTrue, v1.ConditionFalse, v1.ConditionFalse},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpDeployment(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 5,
|
|
CPUTarget: 30,
|
|
verifyCPUCurrent: true,
|
|
reportedLevels: []uint64{300, 500, 700},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
resource: &fakeResource{
|
|
name: "test-dep",
|
|
apiVersion: "apps/v1",
|
|
kind: "Deployment",
|
|
},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpReplicaSet(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 5,
|
|
CPUTarget: 30,
|
|
verifyCPUCurrent: true,
|
|
reportedLevels: []uint64{300, 500, 700},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
resource: &fakeResource{
|
|
name: "test-replicaset",
|
|
apiVersion: "apps/v1",
|
|
kind: "ReplicaSet",
|
|
},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpCM(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 4,
|
|
CPUTarget: 0,
|
|
metricsTarget: []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.PodsMetricSourceType,
|
|
Pods: &autoscalingv2.PodsMetricSource{
|
|
MetricName: "qps",
|
|
TargetAverageValue: resource.MustParse("15.0"),
|
|
},
|
|
},
|
|
},
|
|
reportedLevels: []uint64{20, 10, 30},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpCMUnreadyNoLessScale(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 6,
|
|
CPUTarget: 0,
|
|
metricsTarget: []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.PodsMetricSourceType,
|
|
Pods: &autoscalingv2.PodsMetricSource{
|
|
MetricName: "qps",
|
|
TargetAverageValue: resource.MustParse("15.0"),
|
|
},
|
|
},
|
|
},
|
|
reportedLevels: []uint64{50, 10, 30},
|
|
reportedPodReadiness: []v1.ConditionStatus{v1.ConditionTrue, v1.ConditionTrue, v1.ConditionFalse},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpCMUnreadyNoScaleWouldScaleDown(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 6,
|
|
CPUTarget: 0,
|
|
metricsTarget: []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.PodsMetricSourceType,
|
|
Pods: &autoscalingv2.PodsMetricSource{
|
|
MetricName: "qps",
|
|
TargetAverageValue: resource.MustParse("15.0"),
|
|
},
|
|
},
|
|
},
|
|
reportedLevels: []uint64{50, 15, 30},
|
|
reportedPodReadiness: []v1.ConditionStatus{v1.ConditionFalse, v1.ConditionTrue, v1.ConditionFalse},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleDown(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 5,
|
|
desiredReplicas: 3,
|
|
CPUTarget: 50,
|
|
verifyCPUCurrent: true,
|
|
reportedLevels: []uint64{100, 300, 500, 250, 250},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
recommendations: []timestampedRecommendation{},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleDownCM(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 5,
|
|
desiredReplicas: 3,
|
|
CPUTarget: 0,
|
|
metricsTarget: []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.PodsMetricSourceType,
|
|
Pods: &autoscalingv2.PodsMetricSource{
|
|
MetricName: "qps",
|
|
TargetAverageValue: resource.MustParse("20.0"),
|
|
},
|
|
},
|
|
},
|
|
reportedLevels: []uint64{12, 12, 12, 12, 12},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
recommendations: []timestampedRecommendation{},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleDownIgnoresUnreadyPods(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 5,
|
|
desiredReplicas: 2,
|
|
CPUTarget: 50,
|
|
CPUCurrent: 30,
|
|
verifyCPUCurrent: true,
|
|
reportedLevels: []uint64{100, 300, 500, 250, 250},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
reportedPodReadiness: []v1.ConditionStatus{v1.ConditionTrue, v1.ConditionTrue, v1.ConditionTrue, v1.ConditionFalse, v1.ConditionFalse},
|
|
recommendations: []timestampedRecommendation{},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestTolerance(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 5,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 3,
|
|
CPUTarget: 100,
|
|
reportedLevels: []uint64{1010, 1030, 1020},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestToleranceCM(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 5,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 3,
|
|
metricsTarget: []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.PodsMetricSourceType,
|
|
Pods: &autoscalingv2.PodsMetricSource{
|
|
MetricName: "qps",
|
|
TargetAverageValue: resource.MustParse("20.0"),
|
|
},
|
|
},
|
|
},
|
|
reportedLevels: []uint64{20, 21, 21},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestMinReplicas(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 5,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 2,
|
|
CPUTarget: 90,
|
|
reportedLevels: []uint64{10, 95, 10},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestZeroReplicas(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 3,
|
|
maxReplicas: 5,
|
|
initialReplicas: 0,
|
|
desiredReplicas: 0,
|
|
CPUTarget: 90,
|
|
reportedLevels: []uint64{},
|
|
reportedCPURequests: []resource.Quantity{},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestTooFewReplicas(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 3,
|
|
maxReplicas: 5,
|
|
initialReplicas: 2,
|
|
desiredReplicas: 3,
|
|
CPUTarget: 90,
|
|
reportedLevels: []uint64{},
|
|
reportedCPURequests: []resource.Quantity{},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestTooManyReplicas(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 3,
|
|
maxReplicas: 5,
|
|
initialReplicas: 10,
|
|
desiredReplicas: 5,
|
|
CPUTarget: 90,
|
|
reportedLevels: []uint64{},
|
|
reportedCPURequests: []resource.Quantity{},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestMaxReplicas(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 5,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 5,
|
|
CPUTarget: 90,
|
|
reportedLevels: []uint64{8000, 9500, 1000},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacySuperfluousMetrics(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 4,
|
|
desiredReplicas: 6,
|
|
CPUTarget: 100,
|
|
reportedLevels: []uint64{4000, 9500, 3000, 7000, 3200, 2000},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestMissingMetrics(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 4,
|
|
desiredReplicas: 3,
|
|
CPUTarget: 100,
|
|
reportedLevels: []uint64{400, 95},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestEmptyMetrics(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 4,
|
|
desiredReplicas: 4,
|
|
CPUTarget: 100,
|
|
reportedLevels: []uint64{},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestEmptyCPURequest(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 5,
|
|
initialReplicas: 1,
|
|
desiredReplicas: 1,
|
|
CPUTarget: 100,
|
|
reportedLevels: []uint64{200},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestEventCreated(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 5,
|
|
initialReplicas: 1,
|
|
desiredReplicas: 2,
|
|
CPUTarget: 50,
|
|
reportedLevels: []uint64{200},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.2")},
|
|
verifyEvents: true,
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestEventNotCreated(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 5,
|
|
initialReplicas: 2,
|
|
desiredReplicas: 2,
|
|
CPUTarget: 50,
|
|
reportedLevels: []uint64{200, 200},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.4"), resource.MustParse("0.4")},
|
|
verifyEvents: true,
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestMissingReports(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 5,
|
|
initialReplicas: 4,
|
|
desiredReplicas: 2,
|
|
CPUTarget: 50,
|
|
reportedLevels: []uint64{200},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.2")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func LegacyTestUpscaleCap(t *testing.T) {
|
|
tc := legacyTestCase{
|
|
minReplicas: 1,
|
|
maxReplicas: 100,
|
|
initialReplicas: 3,
|
|
desiredReplicas: 6,
|
|
CPUTarget: 10,
|
|
reportedLevels: []uint64{100, 200, 300},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.1"), resource.MustParse("0.1"), resource.MustParse("0.1")},
|
|
useMetricsAPI: true,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
// TestComputedToleranceAlgImplementation is a regression test which
|
|
// back-calculates a minimal percentage for downscaling based on a small percentage
|
|
// increase in pod utilization which is calibrated against the tolerance value.
|
|
func LegacyTestComputedToleranceAlgImplementation(t *testing.T) {
|
|
|
|
startPods := int32(10)
|
|
// 150 mCPU per pod.
|
|
totalUsedCPUOfAllPods := uint64(startPods * 150)
|
|
// Each pod starts out asking for 2X what is really needed.
|
|
// This means we will have a 50% ratio of used/requested
|
|
totalRequestedCPUOfAllPods := int32(2 * totalUsedCPUOfAllPods)
|
|
requestedToUsed := float64(totalRequestedCPUOfAllPods / int32(totalUsedCPUOfAllPods))
|
|
// Spread the amount we ask over 10 pods. We can add some jitter later in reportedLevels.
|
|
perPodRequested := totalRequestedCPUOfAllPods / startPods
|
|
|
|
// Force a minimal scaling event by satisfying (tolerance < 1 - resourcesUsedRatio).
|
|
target := math.Abs(1/(requestedToUsed*(1-defaultTestingTolerance))) + .01
|
|
finalCPUPercentTarget := int32(target * 100)
|
|
resourcesUsedRatio := float64(totalUsedCPUOfAllPods) / float64(float64(totalRequestedCPUOfAllPods)*target)
|
|
|
|
// i.e. .60 * 20 -> scaled down expectation.
|
|
finalPods := int32(math.Ceil(resourcesUsedRatio * float64(startPods)))
|
|
|
|
// To breach tolerance we will create a utilization ratio difference of tolerance to usageRatioToleranceValue)
|
|
tc := legacyTestCase{
|
|
minReplicas: 0,
|
|
maxReplicas: 1000,
|
|
initialReplicas: startPods,
|
|
desiredReplicas: finalPods,
|
|
CPUTarget: finalCPUPercentTarget,
|
|
reportedLevels: []uint64{
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
totalUsedCPUOfAllPods / 10,
|
|
},
|
|
reportedCPURequests: []resource.Quantity{
|
|
resource.MustParse(fmt.Sprint(perPodRequested+100) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested-100) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested+10) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested-10) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested+2) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested-2) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested+1) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested-1) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested) + "m"),
|
|
resource.MustParse(fmt.Sprint(perPodRequested) + "m"),
|
|
},
|
|
useMetricsAPI: true,
|
|
}
|
|
|
|
tc.runTest(t)
|
|
|
|
// Reuse the data structure above, now testing "unscaling".
|
|
// Now, we test that no scaling happens if we are in a very close margin to the tolerance
|
|
target = math.Abs(1/(requestedToUsed*(1-defaultTestingTolerance))) + .004
|
|
finalCPUPercentTarget = int32(target * 100)
|
|
tc.CPUTarget = finalCPUPercentTarget
|
|
tc.initialReplicas = startPods
|
|
tc.desiredReplicas = startPods
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleUpRCImmediately(t *testing.T) {
|
|
time := metav1.Time{Time: time.Now()}
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 6,
|
|
initialReplicas: 1,
|
|
desiredReplicas: 2,
|
|
verifyCPUCurrent: false,
|
|
reportedLevels: []uint64{0, 0, 0, 0},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0"), resource.MustParse("1.0")},
|
|
useMetricsAPI: true,
|
|
lastScaleTime: &time,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
func TestLegacyScaleDownRCImmediately(t *testing.T) {
|
|
time := metav1.Time{Time: time.Now()}
|
|
tc := legacyTestCase{
|
|
minReplicas: 2,
|
|
maxReplicas: 5,
|
|
initialReplicas: 6,
|
|
desiredReplicas: 5,
|
|
CPUTarget: 50,
|
|
reportedLevels: []uint64{8000, 9500, 1000},
|
|
reportedCPURequests: []resource.Quantity{resource.MustParse("0.9"), resource.MustParse("1.0"), resource.MustParse("1.1")},
|
|
useMetricsAPI: true,
|
|
lastScaleTime: &time,
|
|
}
|
|
tc.runTest(t)
|
|
}
|
|
|
|
// TODO: add more tests
|