mirror of
https://github.com/optim-enterprises-bv/kubernetes.git
synced 2025-11-04 04:08:16 +00:00
346 lines
11 KiB
Go
346 lines
11 KiB
Go
/*
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Copyright 2015 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package benchmark
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import (
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"bytes"
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"context"
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"encoding/json"
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"flag"
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"fmt"
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"io/ioutil"
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"math"
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"os"
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"path"
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"sort"
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"time"
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v1 "k8s.io/api/core/v1"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/labels"
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"k8s.io/apimachinery/pkg/runtime/schema"
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"k8s.io/apimachinery/pkg/util/sets"
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"k8s.io/client-go/dynamic"
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coreinformers "k8s.io/client-go/informers/core/v1"
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clientset "k8s.io/client-go/kubernetes"
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restclient "k8s.io/client-go/rest"
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"k8s.io/component-base/metrics/legacyregistry"
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"k8s.io/component-base/metrics/testutil"
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"k8s.io/klog/v2"
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"k8s.io/kube-scheduler/config/v1beta2"
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"k8s.io/kubernetes/pkg/scheduler/apis/config"
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kubeschedulerscheme "k8s.io/kubernetes/pkg/scheduler/apis/config/scheme"
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"k8s.io/kubernetes/test/integration/util"
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testutils "k8s.io/kubernetes/test/utils"
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)
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const (
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dateFormat = "2006-01-02T15:04:05Z"
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testNamespace = "sched-test"
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setupNamespace = "sched-setup"
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throughputSampleFrequency = time.Second
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)
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var dataItemsDir = flag.String("data-items-dir", "", "destination directory for storing generated data items for perf dashboard")
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func newDefaultComponentConfig() (*config.KubeSchedulerConfiguration, error) {
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gvk := v1beta2.SchemeGroupVersion.WithKind("KubeSchedulerConfiguration")
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cfg := config.KubeSchedulerConfiguration{}
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_, _, err := kubeschedulerscheme.Codecs.UniversalDecoder().Decode(nil, &gvk, &cfg)
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if err != nil {
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return nil, err
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}
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return &cfg, nil
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}
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// mustSetupScheduler starts the following components:
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// - k8s api server
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// - scheduler
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// It returns regular and dynamic clients, and destroyFunc which should be used to
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// remove resources after finished.
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// Notes on rate limiter:
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// - client rate limit is set to 5000.
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func mustSetupScheduler(config *config.KubeSchedulerConfiguration) (util.ShutdownFunc, coreinformers.PodInformer, clientset.Interface, dynamic.Interface) {
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apiURL, apiShutdown := util.StartApiserver()
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var err error
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// TODO: client connection configuration, such as QPS or Burst is configurable in theory, this could be derived from the `config`, need to
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// support this when there is any testcase that depends on such configuration.
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cfg := &restclient.Config{
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Host: apiURL,
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ContentConfig: restclient.ContentConfig{GroupVersion: &schema.GroupVersion{Group: "", Version: "v1"}},
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QPS: 5000.0,
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Burst: 5000,
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}
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// use default component config if config here is nil
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if config == nil {
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config, err = newDefaultComponentConfig()
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if err != nil {
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klog.Fatalf("Error creating default component config: %v", err)
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}
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}
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client := clientset.NewForConfigOrDie(cfg)
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dynClient := dynamic.NewForConfigOrDie(cfg)
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// Not all config options will be effective but only those mostly related with scheduler performance will
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// be applied to start a scheduler, most of them are defined in `scheduler.schedulerOptions`.
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_, podInformer, schedulerShutdown := util.StartScheduler(client, cfg, config)
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fakePVControllerShutdown := util.StartFakePVController(client)
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shutdownFunc := func() {
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fakePVControllerShutdown()
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schedulerShutdown()
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apiShutdown()
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}
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return shutdownFunc, podInformer, client, dynClient
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}
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// Returns the list of scheduled pods in the specified namespaces.
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// Note that no namespaces specified matches all namespaces.
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func getScheduledPods(podInformer coreinformers.PodInformer, namespaces ...string) ([]*v1.Pod, error) {
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pods, err := podInformer.Lister().List(labels.Everything())
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if err != nil {
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return nil, err
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}
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s := sets.NewString(namespaces...)
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scheduled := make([]*v1.Pod, 0, len(pods))
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for i := range pods {
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pod := pods[i]
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if len(pod.Spec.NodeName) > 0 && (len(s) == 0 || s.Has(pod.Namespace)) {
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scheduled = append(scheduled, pod)
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}
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}
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return scheduled, nil
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}
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// DataItem is the data point.
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type DataItem struct {
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// Data is a map from bucket to real data point (e.g. "Perc90" -> 23.5). Notice
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// that all data items with the same label combination should have the same buckets.
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Data map[string]float64 `json:"data"`
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// Unit is the data unit. Notice that all data items with the same label combination
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// should have the same unit.
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Unit string `json:"unit"`
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// Labels is the labels of the data item.
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Labels map[string]string `json:"labels,omitempty"`
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}
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// DataItems is the data point set. It is the struct that perf dashboard expects.
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type DataItems struct {
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Version string `json:"version"`
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DataItems []DataItem `json:"dataItems"`
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}
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// makeBasePod creates a Pod object to be used as a template.
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func makeBasePod() *v1.Pod {
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basePod := &v1.Pod{
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ObjectMeta: metav1.ObjectMeta{
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GenerateName: "pod-",
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},
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Spec: testutils.MakePodSpec(),
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}
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return basePod
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}
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func dataItems2JSONFile(dataItems DataItems, namePrefix string) error {
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b, err := json.Marshal(dataItems)
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if err != nil {
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return err
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}
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destFile := fmt.Sprintf("%v_%v.json", namePrefix, time.Now().Format(dateFormat))
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if *dataItemsDir != "" {
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// Ensure the "dataItemsDir" path to be valid.
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if err := os.MkdirAll(*dataItemsDir, 0750); err != nil {
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return fmt.Errorf("dataItemsDir path %v does not exist and cannot be created: %v", *dataItemsDir, err)
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}
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destFile = path.Join(*dataItemsDir, destFile)
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}
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formatted := &bytes.Buffer{}
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if err := json.Indent(formatted, b, "", " "); err != nil {
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return fmt.Errorf("indenting error: %v", err)
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}
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return ioutil.WriteFile(destFile, formatted.Bytes(), 0644)
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}
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type labelValues struct {
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label string
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values []string
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}
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// metricsCollectorConfig is the config to be marshalled to YAML config file.
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// NOTE: The mapping here means only one filter is supported, either value in the list of `values` is able to be collected.
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type metricsCollectorConfig struct {
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Metrics map[string]*labelValues
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}
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// metricsCollector collects metrics from legacyregistry.DefaultGatherer.Gather() endpoint.
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// Currently only Histogram metrics are supported.
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type metricsCollector struct {
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*metricsCollectorConfig
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labels map[string]string
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}
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func newMetricsCollector(config *metricsCollectorConfig, labels map[string]string) *metricsCollector {
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return &metricsCollector{
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metricsCollectorConfig: config,
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labels: labels,
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}
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}
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func (*metricsCollector) run(ctx context.Context) {
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// metricCollector doesn't need to start before the tests, so nothing to do here.
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}
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func (pc *metricsCollector) collect() []DataItem {
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var dataItems []DataItem
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for metric, labelVals := range pc.Metrics {
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// no filter is specified, aggregate all the metrics within the same metricFamily.
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if labelVals == nil {
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dataItem := collectHistogramVec(metric, pc.labels, nil)
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if dataItem != nil {
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dataItems = append(dataItems, *dataItem)
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}
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} else {
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// fetch the metric from metricFamily which match each of the lvMap.
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for _, value := range labelVals.values {
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lvMap := map[string]string{labelVals.label: value}
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dataItem := collectHistogramVec(metric, pc.labels, lvMap)
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if dataItem != nil {
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dataItems = append(dataItems, *dataItem)
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}
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}
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}
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}
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return dataItems
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}
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func collectHistogramVec(metric string, labels map[string]string, lvMap map[string]string) *DataItem {
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vec, err := testutil.GetHistogramVecFromGatherer(legacyregistry.DefaultGatherer, metric, lvMap)
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if err != nil {
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klog.Error(err)
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return nil
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}
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if err := vec.Validate(); err != nil {
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klog.Error(err)
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return nil
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}
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q50 := vec.Quantile(0.50)
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q90 := vec.Quantile(0.90)
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q95 := vec.Quantile(0.95)
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q99 := vec.Quantile(0.99)
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avg := vec.Average()
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msFactor := float64(time.Second) / float64(time.Millisecond)
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// Copy labels and add "Metric" label for this metric.
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labelMap := map[string]string{"Metric": metric}
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for k, v := range labels {
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labelMap[k] = v
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}
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for k, v := range lvMap {
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labelMap[k] = v
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}
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return &DataItem{
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Labels: labelMap,
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Data: map[string]float64{
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"Perc50": q50 * msFactor,
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"Perc90": q90 * msFactor,
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"Perc95": q95 * msFactor,
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"Perc99": q99 * msFactor,
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"Average": avg * msFactor,
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},
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Unit: "ms",
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}
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}
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type throughputCollector struct {
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podInformer coreinformers.PodInformer
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schedulingThroughputs []float64
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labels map[string]string
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namespaces []string
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}
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func newThroughputCollector(podInformer coreinformers.PodInformer, labels map[string]string, namespaces []string) *throughputCollector {
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return &throughputCollector{
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podInformer: podInformer,
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labels: labels,
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namespaces: namespaces,
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}
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}
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func (tc *throughputCollector) run(ctx context.Context) {
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podsScheduled, err := getScheduledPods(tc.podInformer, tc.namespaces...)
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if err != nil {
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klog.Fatalf("%v", err)
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}
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lastScheduledCount := len(podsScheduled)
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ticker := time.NewTicker(throughputSampleFrequency)
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defer ticker.Stop()
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for {
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select {
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case <-ctx.Done():
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return
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case <-ticker.C:
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podsScheduled, err := getScheduledPods(tc.podInformer, tc.namespaces...)
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if err != nil {
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klog.Fatalf("%v", err)
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}
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scheduled := len(podsScheduled)
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// Only do sampling if number of scheduled pods is greater than zero
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if scheduled > 0 {
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samplingRatioSeconds := float64(throughputSampleFrequency) / float64(time.Second)
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throughput := float64(scheduled-lastScheduledCount) / samplingRatioSeconds
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tc.schedulingThroughputs = append(tc.schedulingThroughputs, throughput)
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lastScheduledCount = scheduled
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klog.Infof("%d pods scheduled", lastScheduledCount)
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}
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}
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}
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}
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func (tc *throughputCollector) collect() []DataItem {
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throughputSummary := DataItem{Labels: tc.labels}
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if length := len(tc.schedulingThroughputs); length > 0 {
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sort.Float64s(tc.schedulingThroughputs)
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sum := 0.0
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for i := range tc.schedulingThroughputs {
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sum += tc.schedulingThroughputs[i]
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}
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throughputSummary.Labels["Metric"] = "SchedulingThroughput"
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throughputSummary.Data = map[string]float64{
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"Average": sum / float64(length),
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"Perc50": tc.schedulingThroughputs[int(math.Ceil(float64(length*50)/100))-1],
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"Perc90": tc.schedulingThroughputs[int(math.Ceil(float64(length*90)/100))-1],
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"Perc95": tc.schedulingThroughputs[int(math.Ceil(float64(length*95)/100))-1],
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"Perc99": tc.schedulingThroughputs[int(math.Ceil(float64(length*99)/100))-1],
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}
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throughputSummary.Unit = "pods/s"
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}
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return []DataItem{throughputSummary}
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}
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