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horizontal_pod_autoscaling.go 6.32 KB
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/*
Copyright 2015 The Kubernetes Authors All rights reserved.
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 e2e
import (
"time"
"k8s.io/kubernetes/pkg/api"
"k8s.io/kubernetes/pkg/apis/autoscaling"
"k8s.io/kubernetes/test/e2e/framework"
. "github.com/onsi/ginkgo"
)
const (
kindRC = "replicationController"
kindDeployment = "deployment"
kindReplicaSet = "replicaset"
subresource = "scale"
)
// These tests don't seem to be running properly in parallel: issue: #20338.
//
var _ = framework.KubeDescribe("Horizontal pod autoscaling (scale resource: CPU)", func() {
var rc *ResourceConsumer
f := framework.NewDefaultFramework("horizontal-pod-autoscaling")
titleUp := "Should scale from 1 pod to 3 pods and from 3 to 5 and verify decision stability"
titleDown := "Should scale from 5 pods to 3 pods and from 3 to 1 and verify decision stability"
// These tests take ~20 minutes each.
framework.KubeDescribe("[Serial] [Slow] Deployment", func() {
// CPU tests via deployments
It(titleUp, func() {
scaleUp("test-deployment", kindDeployment, rc, f)
})
It(titleDown, func() {
scaleDown("test-deployment", kindDeployment, rc, f)
})
})
// These tests take ~20 minutes each.
framework.KubeDescribe("[Serial] [Slow] ReplicaSet", func() {
// CPU tests via deployments
It(titleUp, func() {
scaleUp("rs", kindReplicaSet, rc, f)
})
It(titleDown, func() {
scaleDown("rs", kindReplicaSet, rc, f)
})
})
// These tests take ~20 minutes each.
framework.KubeDescribe("[Serial] [Slow] ReplicationController", func() {
// CPU tests via replication controllers
It(titleUp, func() {
scaleUp("rc", kindRC, rc, f)
})
It(titleDown, func() {
scaleDown("rc", kindRC, rc, f)
})
})
framework.KubeDescribe("ReplicationController light", func() {
It("Should scale from 1 pod to 2 pods", func() {
scaleTest := &HPAScaleTest{
initPods: 1,
totalInitialCPUUsage: 150,
perPodCPURequest: 200,
targetCPUUtilizationPercent: 50,
minPods: 1,
maxPods: 2,
firstScale: 2,
}
scaleTest.run("rc-light", kindRC, rc, f)
})
It("Should scale from 2 pods to 1 pod", func() {
scaleTest := &HPAScaleTest{
initPods: 2,
totalInitialCPUUsage: 50,
perPodCPURequest: 200,
targetCPUUtilizationPercent: 50,
minPods: 1,
maxPods: 2,
firstScale: 1,
}
scaleTest.run("rc-light", kindRC, rc, f)
})
})
})
// HPAScaleTest struct is used by the scale(...) function.
type HPAScaleTest struct {
initPods int32
totalInitialCPUUsage int32
perPodCPURequest int64
targetCPUUtilizationPercent int32
minPods int32
maxPods int32
firstScale int32
firstScaleStasis time.Duration
cpuBurst int
secondScale int32
secondScaleStasis time.Duration
}
// run is a method which runs an HPA lifecycle, from a starting state, to an expected
// The initial state is defined by the initPods parameter.
// The first state change is due to the CPU being consumed initially, which HPA responds to by changing pod counts.
// The second state change (optional) is due to the CPU burst parameter, which HPA again responds to.
// TODO The use of 3 states is arbitrary, we could eventually make this test handle "n" states once this test stabilizes.
func (scaleTest *HPAScaleTest) run(name, kind string, rc *ResourceConsumer, f *framework.Framework) {
rc = NewDynamicResourceConsumer(name, kind, int(scaleTest.initPods), int(scaleTest.totalInitialCPUUsage), 0, 0, scaleTest.perPodCPURequest, 100, f)
defer rc.CleanUp()
createCPUHorizontalPodAutoscaler(rc, scaleTest.targetCPUUtilizationPercent, scaleTest.minPods, scaleTest.maxPods)
rc.WaitForReplicas(int(scaleTest.firstScale))
if scaleTest.firstScaleStasis > 0 {
rc.EnsureDesiredReplicas(int(scaleTest.firstScale), scaleTest.firstScaleStasis)
}
if scaleTest.cpuBurst > 0 && scaleTest.secondScale > 0 {
rc.ConsumeCPU(scaleTest.cpuBurst)
rc.WaitForReplicas(int(scaleTest.secondScale))
}
}
func scaleUp(name, kind string, rc *ResourceConsumer, f *framework.Framework) {
scaleTest := &HPAScaleTest{
initPods: 1,
totalInitialCPUUsage: 250,
perPodCPURequest: 500,
targetCPUUtilizationPercent: 20,
minPods: 1,
maxPods: 5,
firstScale: 3,
firstScaleStasis: 10 * time.Minute,
cpuBurst: 700,
secondScale: 5,
}
scaleTest.run(name, kind, rc, f)
}
func scaleDown(name, kind string, rc *ResourceConsumer, f *framework.Framework) {
scaleTest := &HPAScaleTest{
initPods: 5,
totalInitialCPUUsage: 400,
perPodCPURequest: 500,
targetCPUUtilizationPercent: 30,
minPods: 1,
maxPods: 5,
firstScale: 3,
firstScaleStasis: 10 * time.Minute,
cpuBurst: 100,
secondScale: 1,
}
scaleTest.run(name, kind, rc, f)
}
func createCPUHorizontalPodAutoscaler(rc *ResourceConsumer, cpu, minReplicas, maxRepl int32) {
hpa := &autoscaling.HorizontalPodAutoscaler{
ObjectMeta: api.ObjectMeta{
Name: rc.name,
Namespace: rc.framework.Namespace.Name,
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: rc.kind,
Name: rc.name,
},
MinReplicas: &minReplicas,
MaxReplicas: maxRepl,
TargetCPUUtilizationPercentage: &cpu,
},
}
_, errHPA := rc.framework.Client.Autoscaling().HorizontalPodAutoscalers(rc.framework.Namespace.Name).Create(hpa)
framework.ExpectNoError(errHPA)
}
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