mirror of https://github.com/k3s-io/k3s
193 lines
6.4 KiB
Go
193 lines
6.4 KiB
Go
// +build linux
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/*
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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 e2e_node
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import (
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"fmt"
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"io/ioutil"
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"path"
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"sort"
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"strconv"
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"time"
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"k8s.io/api/core/v1"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/kubernetes/test/e2e/framework"
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e2elog "k8s.io/kubernetes/test/e2e/framework/log"
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"k8s.io/kubernetes/test/e2e/perftype"
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nodeperftype "k8s.io/kubernetes/test/e2e_node/perftype"
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. "github.com/onsi/gomega"
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)
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const (
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TimeSeriesTag = "[Result:TimeSeries]"
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TimeSeriesEnd = "[Finish:TimeSeries]"
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)
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// dumpDataToFile inserts the current timestamp into the labels and writes the
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// data for the test into the file with the specified prefix.
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func dumpDataToFile(data interface{}, labels map[string]string, prefix string) {
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testName := labels["test"]
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fileName := path.Join(framework.TestContext.ReportDir, fmt.Sprintf("%s-%s-%s.json", prefix, framework.TestContext.ReportPrefix, testName))
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labels["timestamp"] = strconv.FormatInt(time.Now().UTC().Unix(), 10)
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e2elog.Logf("Dumping perf data for test %q to %q.", testName, fileName)
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if err := ioutil.WriteFile(fileName, []byte(framework.PrettyPrintJSON(data)), 0644); err != nil {
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e2elog.Logf("Failed to write perf data for test %q to %q: %v", testName, fileName, err)
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}
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}
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// logPerfData writes the perf data to a standalone json file if the
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// framework.TestContext.ReportDir is non-empty, or to the general build log
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// otherwise. The perfType identifies which type of the perf data it is, such
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// as "cpu" and "memory". If an error occurs, no perf data will be logged.
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func logPerfData(p *perftype.PerfData, perfType string) {
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if framework.TestContext.ReportDir == "" {
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framework.PrintPerfData(p)
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return
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}
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dumpDataToFile(p, p.Labels, "performance-"+perfType)
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}
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// logDensityTimeSeries writes the time series data of operation and resource
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// usage to a standalone json file if the framework.TestContext.ReportDir is
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// non-empty, or to the general build log otherwise. If an error occurs,
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// no perf data will be logged.
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func logDensityTimeSeries(rc *ResourceCollector, create, watch map[string]metav1.Time, testInfo map[string]string) {
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timeSeries := &nodeperftype.NodeTimeSeries{
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Labels: testInfo,
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Version: framework.CurrentKubeletPerfMetricsVersion,
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}
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// Attach operation time series.
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timeSeries.OperationData = map[string][]int64{
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"create": getCumulatedPodTimeSeries(create),
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"running": getCumulatedPodTimeSeries(watch),
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}
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// Attach resource time series.
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timeSeries.ResourceData = rc.GetResourceTimeSeries()
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if framework.TestContext.ReportDir == "" {
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e2elog.Logf("%s %s\n%s", TimeSeriesTag, framework.PrettyPrintJSON(timeSeries), TimeSeriesEnd)
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return
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}
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dumpDataToFile(timeSeries, timeSeries.Labels, "time_series")
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}
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type int64arr []int64
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func (a int64arr) Len() int { return len(a) }
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func (a int64arr) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
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func (a int64arr) Less(i, j int) bool { return a[i] < a[j] }
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// getCumulatedPodTimeSeries gets the cumulative pod number time series.
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func getCumulatedPodTimeSeries(timePerPod map[string]metav1.Time) []int64 {
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timeSeries := make(int64arr, 0)
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for _, ts := range timePerPod {
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timeSeries = append(timeSeries, ts.Time.UnixNano())
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}
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// Sort all timestamps.
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sort.Sort(timeSeries)
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return timeSeries
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}
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// getLatencyPerfData returns perf data of pod startup latency.
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func getLatencyPerfData(latency framework.LatencyMetric, testInfo map[string]string) *perftype.PerfData {
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return &perftype.PerfData{
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Version: framework.CurrentKubeletPerfMetricsVersion,
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DataItems: []perftype.DataItem{
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{
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Data: map[string]float64{
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"Perc50": float64(latency.Perc50) / 1000000,
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"Perc90": float64(latency.Perc90) / 1000000,
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"Perc99": float64(latency.Perc99) / 1000000,
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"Perc100": float64(latency.Perc100) / 1000000,
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},
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Unit: "ms",
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Labels: map[string]string{
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"datatype": "latency",
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"latencytype": "create-pod",
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},
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},
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},
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Labels: testInfo,
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}
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}
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// getThroughputPerfData returns perf data of pod creation startup throughput.
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func getThroughputPerfData(batchLag time.Duration, e2eLags []framework.PodLatencyData, podsNr int, testInfo map[string]string) *perftype.PerfData {
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return &perftype.PerfData{
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Version: framework.CurrentKubeletPerfMetricsVersion,
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DataItems: []perftype.DataItem{
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{
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Data: map[string]float64{
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"batch": float64(podsNr) / batchLag.Minutes(),
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"single-worst": 1.0 / e2eLags[len(e2eLags)-1].Latency.Minutes(),
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},
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Unit: "pods/min",
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Labels: map[string]string{
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"datatype": "throughput",
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"latencytype": "create-pod",
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},
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},
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},
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Labels: testInfo,
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}
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}
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// getTestNodeInfo returns a label map containing the test name and
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// description, the name of the node on which the test will be run, the image
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// name of the node, and the node capacities.
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func getTestNodeInfo(f *framework.Framework, testName, testDesc string) map[string]string {
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nodeName := framework.TestContext.NodeName
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node, err := f.ClientSet.CoreV1().Nodes().Get(nodeName, metav1.GetOptions{})
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Expect(err).NotTo(HaveOccurred())
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cpu, ok := node.Status.Capacity[v1.ResourceCPU]
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if !ok {
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framework.Failf("Fail to fetch CPU capacity value of test node.")
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}
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memory, ok := node.Status.Capacity[v1.ResourceMemory]
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if !ok {
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framework.Failf("Fail to fetch Memory capacity value of test node.")
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}
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cpuValue, ok := cpu.AsInt64()
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if !ok {
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framework.Failf("Fail to fetch CPU capacity value as Int64.")
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}
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memoryValue, ok := memory.AsInt64()
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if !ok {
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framework.Failf("Fail to fetch Memory capacity value as Int64.")
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}
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image := node.Status.NodeInfo.OSImage
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if framework.TestContext.ImageDescription != "" {
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image = fmt.Sprintf("%s (%s)", image, framework.TestContext.ImageDescription)
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}
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return map[string]string{
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"node": nodeName,
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"test": testName,
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"image": image,
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"machine": fmt.Sprintf("cpu:%dcore,memory:%.1fGB", cpuValue, float32(memoryValue)/(1024*1024*1024)),
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"desc": testDesc,
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}
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}
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