-
Notifications
You must be signed in to change notification settings - Fork 38.6k
/
util.go
281 lines (244 loc) · 8.23 KB
/
util.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
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
/*
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 benchmark
import (
"encoding/json"
"flag"
"fmt"
"io/ioutil"
"math"
"path"
"sort"
"time"
v1 "k8s.io/api/core/v1"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/labels"
"k8s.io/apimachinery/pkg/runtime/schema"
"k8s.io/apimachinery/pkg/util/sets"
coreinformers "k8s.io/client-go/informers/core/v1"
clientset "k8s.io/client-go/kubernetes"
restclient "k8s.io/client-go/rest"
"k8s.io/component-base/metrics/legacyregistry"
"k8s.io/component-base/metrics/testutil"
"k8s.io/klog/v2"
"k8s.io/kubernetes/test/integration/util"
testutils "k8s.io/kubernetes/test/utils"
)
const (
dateFormat = "2006-01-02T15:04:05Z"
testNamespace = "sched-test"
setupNamespace = "sched-setup"
throughputSampleFrequency = time.Second
)
var dataItemsDir = flag.String("data-items-dir", "", "destination directory for storing generated data items for perf dashboard")
// mustSetupScheduler starts the following components:
// - k8s api server (a.k.a. master)
// - scheduler
// It returns clientset and destroyFunc which should be used to
// remove resources after finished.
// Notes on rate limiter:
// - client rate limit is set to 5000.
func mustSetupScheduler() (util.ShutdownFunc, coreinformers.PodInformer, clientset.Interface) {
apiURL, apiShutdown := util.StartApiserver()
clientSet := clientset.NewForConfigOrDie(&restclient.Config{
Host: apiURL,
ContentConfig: restclient.ContentConfig{GroupVersion: &schema.GroupVersion{Group: "", Version: "v1"}},
QPS: 5000.0,
Burst: 5000,
})
_, podInformer, schedulerShutdown := util.StartScheduler(clientSet)
fakePVControllerShutdown := util.StartFakePVController(clientSet)
shutdownFunc := func() {
fakePVControllerShutdown()
schedulerShutdown()
apiShutdown()
}
return shutdownFunc, podInformer, clientSet
}
// Returns the list of scheduled pods in the specified namespaces.
// Note that no namespces specified matches all namespaces.
func getScheduledPods(podInformer coreinformers.PodInformer, namespaces ...string) ([]*v1.Pod, error) {
pods, err := podInformer.Lister().List(labels.Everything())
if err != nil {
return nil, err
}
s := sets.NewString(namespaces...)
scheduled := make([]*v1.Pod, 0, len(pods))
for i := range pods {
pod := pods[i]
if len(pod.Spec.NodeName) > 0 && (len(s) == 0 || s.Has(pod.Namespace)) {
scheduled = append(scheduled, pod)
}
}
return scheduled, nil
}
// DataItem is the data point.
type DataItem struct {
// Data is a map from bucket to real data point (e.g. "Perc90" -> 23.5). Notice
// that all data items with the same label combination should have the same buckets.
Data map[string]float64 `json:"data"`
// Unit is the data unit. Notice that all data items with the same label combination
// should have the same unit.
Unit string `json:"unit"`
// Labels is the labels of the data item.
Labels map[string]string `json:"labels,omitempty"`
}
// DataItems is the data point set. It is the struct that perf dashboard expects.
type DataItems struct {
Version string `json:"version"`
DataItems []DataItem `json:"dataItems"`
}
// makeBasePod creates a Pod object to be used as a template.
func makeBasePod() *v1.Pod {
basePod := &v1.Pod{
ObjectMeta: metav1.ObjectMeta{
GenerateName: "pod-",
},
Spec: testutils.MakePodSpec(),
}
return basePod
}
func dataItems2JSONFile(dataItems DataItems, namePrefix string) error {
b, err := json.Marshal(dataItems)
if err != nil {
return err
}
destFile := fmt.Sprintf("%v_%v.json", namePrefix, time.Now().Format(dateFormat))
if *dataItemsDir != "" {
destFile = path.Join(*dataItemsDir, destFile)
}
return ioutil.WriteFile(destFile, b, 0644)
}
// metricsCollectorConfig is the config to be marshalled to YAML config file.
type metricsCollectorConfig struct {
Metrics []string
}
// metricsCollector collects metrics from legacyregistry.DefaultGatherer.Gather() endpoint.
// Currently only Histrogram metrics are supported.
type metricsCollector struct {
metricsCollectorConfig
labels map[string]string
}
func newMetricsCollector(config metricsCollectorConfig, labels map[string]string) *metricsCollector {
return &metricsCollector{
metricsCollectorConfig: config,
labels: labels,
}
}
func (*metricsCollector) run(stopCh chan struct{}) {
// metricCollector doesn't need to start before the tests, so nothing to do here.
}
func (pc *metricsCollector) collect() []DataItem {
var dataItems []DataItem
for _, metric := range pc.Metrics {
dataItem := collectHistogram(metric, pc.labels)
if dataItem != nil {
dataItems = append(dataItems, *dataItem)
}
}
return dataItems
}
func collectHistogram(metric string, labels map[string]string) *DataItem {
hist, err := testutil.GetHistogramFromGatherer(legacyregistry.DefaultGatherer, metric)
if err != nil {
klog.Error(err)
return nil
}
if hist.Histogram == nil {
klog.Errorf("metric %q is not a Histogram metric", metric)
return nil
}
if err := hist.Validate(); err != nil {
klog.Error(err)
return nil
}
q50 := hist.Quantile(0.50)
q90 := hist.Quantile(0.90)
q99 := hist.Quantile(0.95)
avg := hist.Average()
// clear the metrics so that next test always starts with empty prometheus
// metrics (since the metrics are shared among all tests run inside the same binary)
hist.Clear()
msFactor := float64(time.Second) / float64(time.Millisecond)
// Copy labels and add "Metric" label for this metric.
labelMap := map[string]string{"Metric": metric}
for k, v := range labels {
labelMap[k] = v
}
return &DataItem{
Labels: labelMap,
Data: map[string]float64{
"Perc50": q50 * msFactor,
"Perc90": q90 * msFactor,
"Perc99": q99 * msFactor,
"Average": avg * msFactor,
},
Unit: "ms",
}
}
type throughputCollector struct {
podInformer coreinformers.PodInformer
schedulingThroughputs []float64
labels map[string]string
namespaces []string
}
func newThroughputCollector(podInformer coreinformers.PodInformer, labels map[string]string, namespaces []string) *throughputCollector {
return &throughputCollector{
podInformer: podInformer,
labels: labels,
namespaces: namespaces,
}
}
func (tc *throughputCollector) run(stopCh chan struct{}) {
podsScheduled, err := getScheduledPods(tc.podInformer, tc.namespaces...)
if err != nil {
klog.Fatalf("%v", err)
}
lastScheduledCount := len(podsScheduled)
for {
select {
case <-stopCh:
return
case <-time.After(throughputSampleFrequency):
podsScheduled, err := getScheduledPods(tc.podInformer, tc.namespaces...)
if err != nil {
klog.Fatalf("%v", err)
}
scheduled := len(podsScheduled)
samplingRatioSeconds := float64(throughputSampleFrequency) / float64(time.Second)
throughput := float64(scheduled-lastScheduledCount) / samplingRatioSeconds
tc.schedulingThroughputs = append(tc.schedulingThroughputs, throughput)
lastScheduledCount = scheduled
klog.Infof("%d pods scheduled", lastScheduledCount)
}
}
}
func (tc *throughputCollector) collect() []DataItem {
throughputSummary := DataItem{Labels: tc.labels}
if length := len(tc.schedulingThroughputs); length > 0 {
sort.Float64s(tc.schedulingThroughputs)
sum := 0.0
for i := range tc.schedulingThroughputs {
sum += tc.schedulingThroughputs[i]
}
throughputSummary.Labels["Metric"] = "SchedulingThroughput"
throughputSummary.Data = map[string]float64{
"Average": sum / float64(length),
"Perc50": tc.schedulingThroughputs[int(math.Ceil(float64(length*50)/100))-1],
"Perc90": tc.schedulingThroughputs[int(math.Ceil(float64(length*90)/100))-1],
"Perc99": tc.schedulingThroughputs[int(math.Ceil(float64(length*99)/100))-1],
}
throughputSummary.Unit = "pods/s"
}
return []DataItem{throughputSummary}
}