forked from kubernetes/kubernetes
-
Notifications
You must be signed in to change notification settings - Fork 1
/
horizontal_pod_autoscaling.go
196 lines (177 loc) · 6.47 KB
/
horizontal_pod_autoscaling.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
/*
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("[HPA] 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"
titleDown := "Should scale from 5 pods to 3 pods and from 3 to 1"
framework.KubeDescribe("[Serial] [Slow] Deployment", func() {
// CPU tests via deployments
It(titleUp, func() {
scaleUp("test-deployment", kindDeployment, false, rc, f)
})
It(titleDown, func() {
scaleDown("test-deployment", kindDeployment, false, rc, f)
})
})
framework.KubeDescribe("[Serial] [Slow] ReplicaSet", func() {
// CPU tests via deployments
It(titleUp, func() {
scaleUp("rs", kindReplicaSet, false, rc, f)
})
It(titleDown, func() {
scaleDown("rs", kindReplicaSet, false, rc, f)
})
})
// These tests take ~20 minutes each.
framework.KubeDescribe("[Serial] [Slow] ReplicationController", func() {
// CPU tests via replication controllers
It(titleUp+" and verify decision stability", func() {
scaleUp("rc", kindRC, true, rc, f)
})
It(titleDown+" and verify decision stability", func() {
scaleDown("rc", kindRC, true, 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, checkStability bool, rc *ResourceConsumer, f *framework.Framework) {
stasis := 0 * time.Minute
if checkStability {
stasis = 10 * time.Minute
}
scaleTest := &HPAScaleTest{
initPods: 1,
totalInitialCPUUsage: 250,
perPodCPURequest: 500,
targetCPUUtilizationPercent: 20,
minPods: 1,
maxPods: 5,
firstScale: 3,
firstScaleStasis: stasis,
cpuBurst: 700,
secondScale: 5,
}
scaleTest.run(name, kind, rc, f)
}
func scaleDown(name, kind string, checkStability bool, rc *ResourceConsumer, f *framework.Framework) {
stasis := 0 * time.Minute
if checkStability {
stasis = 10 * time.Minute
}
scaleTest := &HPAScaleTest{
initPods: 5,
totalInitialCPUUsage: 375,
perPodCPURequest: 500,
targetCPUUtilizationPercent: 30,
minPods: 1,
maxPods: 5,
firstScale: 3,
firstScaleStasis: stasis,
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)
}