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horizontal_pod_autoscaling.go
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horizontal_pod_autoscaling.go
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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/extensions"
. "github.com/onsi/ginkgo"
)
const (
kindRC = "replicationController"
kindDeployment = "deployment"
subresource = "scale"
)
var _ = Describe("Horizontal pod autoscaling (scale resource: CPU) [Skipped]", func() {
var rc *ResourceConsumer
f := NewFramework("horizontal-pod-autoscaling")
titleUp := "Should scale from 1 pod to 3 pods and from 3 to 5"
titleDown := "Should scale from 5 pods to 3 pods and from 3 to 1"
Describe("Deployment", func() {
// CPU tests via deployments
It(titleUp, func() {
scaleUp("deployment", kindDeployment, rc, f)
})
It(titleDown, func() {
scaleDown("deployment", kindDeployment, rc, f)
})
})
Describe("[Autoscaling] ReplicationController", func() {
// CPU tests via replication controllers
It(titleUp, func() {
scaleUp("rc", kindRC, rc, f)
})
It(titleDown, func() {
scaleDown("rc", kindRC, rc, f)
})
})
})
// HPAScaleTest struct is used by the scale(...) function.
type HPAScaleTest struct {
initPods int
cpuStart int
maxCPU int64
idealCPU int
minPods int
maxPods int
firstScale int
firstScaleStasis time.Duration
cpuBurst int
secondScale int
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 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) {
rc = NewDynamicResourceConsumer(name, kind, scaleTest.initPods, scaleTest.cpuStart, 0, scaleTest.maxCPU, 100, f)
defer rc.CleanUp()
createCPUHorizontalPodAutoscaler(rc, scaleTest.idealCPU, scaleTest.minPods, scaleTest.maxPods)
rc.WaitForReplicas(scaleTest.firstScale)
rc.EnsureDesiredReplicas(scaleTest.firstScale, scaleTest.firstScaleStasis)
rc.ConsumeCPU(scaleTest.cpuBurst)
rc.WaitForReplicas(scaleTest.secondScale)
}
func scaleUp(name, kind string, rc *ResourceConsumer, f *Framework) {
scaleTest := &HPAScaleTest{
initPods: 1,
cpuStart: 250,
maxCPU: 500,
idealCPU: .2 * 100,
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) {
scaleTest := &HPAScaleTest{
initPods: 5,
cpuStart: 400,
maxCPU: 500,
idealCPU: .3 * 100,
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 int) {
hpa := &extensions.HorizontalPodAutoscaler{
ObjectMeta: api.ObjectMeta{
Name: rc.name,
Namespace: rc.framework.Namespace.Name,
},
Spec: extensions.HorizontalPodAutoscalerSpec{
ScaleRef: extensions.SubresourceReference{
Kind: rc.kind,
Name: rc.name,
Subresource: subresource,
},
MinReplicas: &minReplicas,
MaxReplicas: maxRepl,
CPUUtilization: &extensions.CPUTargetUtilization{TargetPercentage: cpu},
},
}
_, errHPA := rc.framework.Client.Extensions().HorizontalPodAutoscalers(rc.framework.Namespace.Name).Create(hpa)
expectNoError(errHPA)
}