mirror of
https://github.com/optim-enterprises-bv/kubernetes.git
synced 2025-10-31 02:08:13 +00:00
1077 lines
33 KiB
Go
1077 lines
33 KiB
Go
/*
|
|
Copyright 2015 The Kubernetes Authors.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
*/
|
|
|
|
package podautoscaler
|
|
|
|
import (
|
|
"context"
|
|
"encoding/json"
|
|
"fmt"
|
|
"io"
|
|
"math"
|
|
"strconv"
|
|
"strings"
|
|
"sync"
|
|
"testing"
|
|
"time"
|
|
|
|
autoscalingv1 "k8s.io/api/autoscaling/v1"
|
|
autoscalingv2 "k8s.io/api/autoscaling/v2beta1"
|
|
v1 "k8s.io/api/core/v1"
|
|
"k8s.io/apimachinery/pkg/api/meta/testrestmapper"
|
|
"k8s.io/apimachinery/pkg/api/resource"
|
|
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
|
|
"k8s.io/apimachinery/pkg/labels"
|
|
"k8s.io/apimachinery/pkg/runtime"
|
|
"k8s.io/apimachinery/pkg/watch"
|
|
"k8s.io/client-go/informers"
|
|
"k8s.io/client-go/kubernetes/fake"
|
|
restclient "k8s.io/client-go/rest"
|
|
scalefake "k8s.io/client-go/scale/fake"
|
|
core "k8s.io/client-go/testing"
|
|
"k8s.io/kubernetes/pkg/api/legacyscheme"
|
|
"k8s.io/kubernetes/pkg/controller"
|
|
"k8s.io/kubernetes/pkg/controller/podautoscaler/metrics"
|
|
|
|
heapster "k8s.io/heapster/metrics/api/v1/types"
|
|
metricsapi "k8s.io/metrics/pkg/apis/metrics/v1alpha1"
|
|
|
|
"github.com/stretchr/testify/assert"
|
|
|
|
_ "k8s.io/kubernetes/pkg/apis/apps/install"
|
|
_ "k8s.io/kubernetes/pkg/apis/autoscaling/install"
|
|
_ "k8s.io/kubernetes/pkg/apis/core/install"
|
|
)
|
|
|
|
func (w fakeResponseWrapper) DoRaw(context.Context) ([]byte, error) {
|
|
return w.raw, nil
|
|
}
|
|
|
|
func (w fakeResponseWrapper) Stream(context.Context) (io.ReadCloser, error) {
|
|
return nil, nil
|
|
}
|
|
|
|
func newFakeResponseWrapper(raw []byte) fakeResponseWrapper {
|
|
return fakeResponseWrapper{raw: raw}
|
|
}
|
|
|
|
type fakeResponseWrapper struct {
|
|
raw []byte
|
|
}
|
|
|
|
type legacyTestCase struct {
|
|
sync.Mutex
|
|
minReplicas int32
|
|
maxReplicas int32
|
|
initialReplicas int32
|
|
desiredReplicas int32
|
|
|
|
// CPU target utilization as a percentage of the requested resources.
|
|
CPUTarget int32
|
|
CPUCurrent int32
|
|
verifyCPUCurrent bool
|
|
reportedLevels []uint64
|
|
reportedCPURequests []resource.Quantity
|
|
reportedPodReadiness []v1.ConditionStatus
|
|
scaleUpdated bool
|
|
statusUpdated bool
|
|
eventCreated bool
|
|
verifyEvents bool
|
|
useMetricsAPI bool
|
|
metricsTarget []autoscalingv2.MetricSpec
|
|
// Channel with names of HPA objects which we have reconciled.
|
|
processed chan string
|
|
|
|
// Target resource information.
|
|
resource *fakeResource
|
|
|
|
// Last scale time
|
|
lastScaleTime *metav1.Time
|
|
recommendations []timestampedRecommendation
|
|
|
|
finished bool
|
|
}
|
|
|
|
// Needs to be called under a lock.
|
|
func (tc *legacyTestCase) computeCPUCurrent() {
|
|
if len(tc.reportedLevels) != len(tc.reportedCPURequests) || len(tc.reportedLevels) == 0 {
|
|
return
|
|
}
|
|
reported := 0
|
|
for _, r := range tc.reportedLevels {
|
|
reported += int(r)
|
|
}
|
|
requested := 0
|
|
for _, req := range tc.reportedCPURequests {
|
|
requested += int(req.MilliValue())
|
|
}
|
|
tc.CPUCurrent = int32(100 * reported / requested)
|
|
}
|
|
|
|
func (tc *legacyTestCase) prepareTestClient(t *testing.T) (*fake.Clientset, *scalefake.FakeScaleClient) {
|
|
namespace := "test-namespace"
|
|
hpaName := "test-hpa"
|
|
podNamePrefix := "test-pod"
|
|
labelSet := map[string]string{"name": podNamePrefix}
|
|
selector := labels.SelectorFromSet(labelSet).String()
|
|
|
|
tc.Lock()
|
|
|
|
tc.scaleUpdated = false
|
|
tc.statusUpdated = false
|
|
tc.eventCreated = false
|
|
tc.processed = make(chan string, 100)
|
|
if tc.CPUCurrent == 0 {
|
|
tc.computeCPUCurrent()
|
|
}
|
|
|
|
if tc.resource == nil {
|
|
tc.resource = &fakeResource{
|
|
name: "test-rc",
|
|
apiVersion: "v1",
|
|
kind: "ReplicationController",
|
|
}
|
|
}
|
|
tc.Unlock()
|
|
|
|
fakeClient := &fake.Clientset{}
|
|
fakeClient.AddReactor("list", "horizontalpodautoscalers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := &autoscalingv2.HorizontalPodAutoscalerList{
|
|
Items: []autoscalingv2.HorizontalPodAutoscaler{
|
|
{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: hpaName,
|
|
Namespace: namespace,
|
|
SelfLink: "experimental/v1/namespaces/" + namespace + "/horizontalpodautoscalers/" + hpaName,
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: tc.resource.kind,
|
|
Name: tc.resource.name,
|
|
APIVersion: tc.resource.apiVersion,
|
|
},
|
|
MinReplicas: &tc.minReplicas,
|
|
MaxReplicas: tc.maxReplicas,
|
|
},
|
|
Status: autoscalingv2.HorizontalPodAutoscalerStatus{
|
|
CurrentReplicas: tc.initialReplicas,
|
|
DesiredReplicas: tc.initialReplicas,
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
if tc.CPUTarget > 0.0 {
|
|
obj.Items[0].Spec.Metrics = []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.ResourceMetricSourceType,
|
|
Resource: &autoscalingv2.ResourceMetricSource{
|
|
Name: v1.ResourceCPU,
|
|
TargetAverageUtilization: &tc.CPUTarget,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
if len(tc.metricsTarget) > 0 {
|
|
obj.Items[0].Spec.Metrics = append(obj.Items[0].Spec.Metrics, tc.metricsTarget...)
|
|
}
|
|
|
|
if len(obj.Items[0].Spec.Metrics) == 0 {
|
|
// manually add in the defaulting logic
|
|
obj.Items[0].Spec.Metrics = []autoscalingv2.MetricSpec{
|
|
{
|
|
Type: autoscalingv2.ResourceMetricSourceType,
|
|
Resource: &autoscalingv2.ResourceMetricSource{
|
|
Name: v1.ResourceCPU,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
// and... convert to autoscaling v1 to return the right type
|
|
objv1, err := unsafeConvertToVersionVia(obj, autoscalingv1.SchemeGroupVersion)
|
|
if err != nil {
|
|
return true, nil, err
|
|
}
|
|
|
|
return true, objv1, nil
|
|
})
|
|
|
|
fakeClient.AddReactor("list", "pods", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := &v1.PodList{}
|
|
for i := 0; i < len(tc.reportedCPURequests); i++ {
|
|
podReadiness := v1.ConditionTrue
|
|
if tc.reportedPodReadiness != nil {
|
|
podReadiness = tc.reportedPodReadiness[i]
|
|
}
|
|
podName := fmt.Sprintf("%s-%d", podNamePrefix, i)
|
|
pod := v1.Pod{
|
|
Status: v1.PodStatus{
|
|
StartTime: &metav1.Time{Time: time.Now().Add(-3 * time.Minute)},
|
|
Phase: v1.PodRunning,
|
|
Conditions: []v1.PodCondition{
|
|
{
|
|
Type: v1.PodReady,
|
|
Status: podReadiness,
|
|
},
|
|
},
|
|
},
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: podName,
|
|
Namespace: namespace,
|
|
Labels: map[string]string{
|
|
"name": podNamePrefix,
|
|
},
|
|
},
|
|
Spec: v1.PodSpec{
|
|
Containers: []v1.Container{
|
|
{
|
|
Resources: v1.ResourceRequirements{
|
|
Requests: v1.ResourceList{
|
|
v1.ResourceCPU: tc.reportedCPURequests[i],
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
}
|
|
obj.Items = append(obj.Items, pod)
|
|
}
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeClient.AddProxyReactor("services", func(action core.Action) (handled bool, ret restclient.ResponseWrapper, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
var heapsterRawMemResponse []byte
|
|
|
|
if tc.useMetricsAPI {
|
|
metrics := metricsapi.PodMetricsList{}
|
|
for i, cpu := range tc.reportedLevels {
|
|
podMetric := metricsapi.PodMetrics{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: fmt.Sprintf("%s-%d", podNamePrefix, i),
|
|
Namespace: namespace,
|
|
},
|
|
Timestamp: metav1.Time{Time: time.Now()},
|
|
Containers: []metricsapi.ContainerMetrics{
|
|
{
|
|
Name: "container",
|
|
Usage: v1.ResourceList{
|
|
v1.ResourceCPU: *resource.NewMilliQuantity(
|
|
int64(cpu),
|
|
resource.DecimalSI),
|
|
v1.ResourceMemory: *resource.NewQuantity(
|
|
int64(1024*1024),
|
|
resource.BinarySI),
|
|
},
|
|
},
|
|
},
|
|
}
|
|
metrics.Items = append(metrics.Items, podMetric)
|
|
}
|
|
heapsterRawMemResponse, _ = json.Marshal(&metrics)
|
|
} else {
|
|
// only return the pods that we actually asked for
|
|
proxyAction := action.(core.ProxyGetAction)
|
|
pathParts := strings.Split(proxyAction.GetPath(), "/")
|
|
// pathParts should look like [ api, v1, model, namespaces, $NS, pod-list, $PODS, metrics, $METRIC... ]
|
|
if len(pathParts) < 9 {
|
|
return true, nil, fmt.Errorf("invalid heapster path %q", proxyAction.GetPath())
|
|
}
|
|
|
|
podNames := strings.Split(pathParts[7], ",")
|
|
podPresent := make([]bool, len(tc.reportedLevels))
|
|
for _, name := range podNames {
|
|
if len(name) <= len(podNamePrefix)+1 {
|
|
return true, nil, fmt.Errorf("unknown pod %q", name)
|
|
}
|
|
num, err := strconv.Atoi(name[len(podNamePrefix)+1:])
|
|
if err != nil {
|
|
return true, nil, fmt.Errorf("unknown pod %q", name)
|
|
}
|
|
podPresent[num] = true
|
|
}
|
|
|
|
timestamp := time.Now()
|
|
metrics := heapster.MetricResultList{}
|
|
for i, level := range tc.reportedLevels {
|
|
if !podPresent[i] {
|
|
continue
|
|
}
|
|
|
|
metric := heapster.MetricResult{
|
|
Metrics: []heapster.MetricPoint{{Timestamp: timestamp, Value: level, FloatValue: nil}},
|
|
LatestTimestamp: timestamp,
|
|
}
|
|
metrics.Items = append(metrics.Items, metric)
|
|
}
|
|
heapsterRawMemResponse, _ = json.Marshal(&metrics)
|
|
}
|
|
|
|
return true, newFakeResponseWrapper(heapsterRawMemResponse), nil
|
|
})
|
|
|
|
fakeClient.AddReactor("update", "horizontalpodautoscalers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
obj := func() *autoscalingv1.HorizontalPodAutoscaler {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.HorizontalPodAutoscaler)
|
|
assert.Equal(t, namespace, obj.Namespace, "the HPA namespace should be as expected")
|
|
assert.Equal(t, hpaName, obj.Name, "the HPA name should be as expected")
|
|
assert.Equal(t, tc.desiredReplicas, obj.Status.DesiredReplicas, "the desired replica count reported in the object status should be as expected")
|
|
if tc.verifyCPUCurrent {
|
|
if assert.NotNil(t, obj.Status.CurrentCPUUtilizationPercentage, "the reported CPU utilization percentage should be non-nil") {
|
|
assert.Equal(t, tc.CPUCurrent, *obj.Status.CurrentCPUUtilizationPercentage, "the report CPU utilization percentage should be as expected")
|
|
}
|
|
}
|
|
tc.statusUpdated = true
|
|
return obj
|
|
}()
|
|
// Every time we reconcile HPA object we are updating status.
|
|
tc.processed <- obj.Name
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeScaleClient := &scalefake.FakeScaleClient{}
|
|
fakeScaleClient.AddReactor("get", "replicationcontrollers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := &autoscalingv1.Scale{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: tc.resource.name,
|
|
Namespace: namespace,
|
|
},
|
|
Spec: autoscalingv1.ScaleSpec{
|
|
Replicas: tc.initialReplicas,
|
|
},
|
|
Status: autoscalingv1.ScaleStatus{
|
|
Replicas: tc.initialReplicas,
|
|
Selector: selector,
|
|
},
|
|
}
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeScaleClient.AddReactor("get", "deployments", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := &autoscalingv1.Scale{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: tc.resource.name,
|
|
Namespace: namespace,
|
|
},
|
|
Spec: autoscalingv1.ScaleSpec{
|
|
Replicas: tc.initialReplicas,
|
|
},
|
|
Status: autoscalingv1.ScaleStatus{
|
|
Replicas: tc.initialReplicas,
|
|
Selector: selector,
|
|
},
|
|
}
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeScaleClient.AddReactor("get", "replicasets", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := &autoscalingv1.Scale{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: tc.resource.name,
|
|
Namespace: namespace,
|
|
},
|
|
Spec: autoscalingv1.ScaleSpec{
|
|
Replicas: tc.initialReplicas,
|
|
},
|
|
Status: autoscalingv1.ScaleStatus{
|
|
Replicas: tc.initialReplicas,
|
|
Selector: selector,
|
|
},
|
|
}
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeScaleClient.AddReactor("update", "replicationcontrollers", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale)
|
|
replicas := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale).Spec.Replicas
|
|
assert.Equal(t, tc.desiredReplicas, replicas, "the replica count of the RC should be as expected")
|
|
tc.scaleUpdated = true
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeScaleClient.AddReactor("update", "deployments", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale)
|
|
replicas := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale).Spec.Replicas
|
|
assert.Equal(t, tc.desiredReplicas, replicas, "the replica count of the deployment should be as expected")
|
|
tc.scaleUpdated = true
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeScaleClient.AddReactor("update", "replicasets", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
obj := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale)
|
|
replicas := action.(core.UpdateAction).GetObject().(*autoscalingv1.Scale).Spec.Replicas
|
|
assert.Equal(t, tc.desiredReplicas, replicas, "the replica count of the replicaset should be as expected")
|
|
tc.scaleUpdated = true
|
|
return true, obj, nil
|
|
})
|
|
|
|
fakeWatch := watch.NewFake()
|
|
fakeClient.AddWatchReactor("*", core.DefaultWatchReactor(fakeWatch, nil))
|
|
|
|
return fakeClient, fakeScaleClient
|
|
}
|
|
|
|
func (tc *legacyTestCase) verifyResults(t *testing.T) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
assert.Equal(t, tc.initialReplicas != tc.desiredReplicas, tc.scaleUpdated, "the scale should only be updated if we expected a change in replicas")
|
|
assert.True(t, tc.statusUpdated, "the status should have been updated")
|
|
if tc.verifyEvents {
|
|
assert.Equal(t, tc.initialReplicas != tc.desiredReplicas, tc.eventCreated, "an event should have been created only if we expected a change in replicas")
|
|
}
|
|
}
|
|
|
|
func (tc *legacyTestCase) runTest(t *testing.T) {
|
|
testClient, testScaleClient := tc.prepareTestClient(t)
|
|
metricsClient := metrics.NewHeapsterMetricsClient(testClient, metrics.DefaultHeapsterNamespace, metrics.DefaultHeapsterScheme, metrics.DefaultHeapsterService, metrics.DefaultHeapsterPort)
|
|
eventClient := &fake.Clientset{}
|
|
eventClient.AddReactor("*", "events", func(action core.Action) (handled bool, ret runtime.Object, err error) {
|
|
tc.Lock()
|
|
defer tc.Unlock()
|
|
|
|
if tc.finished {
|
|
return true, &v1.Event{}, nil
|
|
}
|
|
create, ok := action.(core.CreateAction)
|
|
if !ok {
|
|
return false, nil, nil
|
|
}
|
|
obj := create.GetObject().(*v1.Event)
|
|
if tc.verifyEvents {
|
|
switch obj.Reason {
|
|
case "SuccessfulRescale":
|
|
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(
|
|
"Computed the desired num of replicas: %d (avgCPUutil: %d, current replicas: %d)",
|
|
tc.desiredReplicas,
|
|
(int64(tc.reportedLevels[0])*100)/tc.reportedCPURequests[0].MilliValue(), tc.initialReplicas), obj.Message)
|
|
default:
|
|
assert.False(t, true, fmt.Sprintf("Unexpected event: %s / %s", obj.Reason, obj.Message))
|
|
}
|
|
}
|
|
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
|