mirror of https://github.com/k3s-io/k3s
Logs node e2e perf data to standalone json files
Yang Guo
parent
3837d95191
commit
29b2db5af3
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@ -452,6 +452,7 @@ staging/src/k8s.io/metrics/pkg/apis/metrics/install
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staging/src/k8s.io/sample-apiserver
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staging/src/k8s.io/sample-apiserver/pkg/apis/wardle/install
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test/e2e/perftype
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test/e2e_node/perftype
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test/e2e_node/runner/local
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test/images/clusterapi-tester
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test/images/entrypoint-tester
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@ -71,9 +71,10 @@ func PodStartupLatencyToPerfData(latency *PodStartupLatency) *perftype.PerfData
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return perfData
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}
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// currentKubeletPerfMetricsVersion is the current kubelet performance metrics version. We should
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// bump up the version each time we make incompatible change to the metrics.
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const currentKubeletPerfMetricsVersion = "v2"
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// CurrentKubeletPerfMetricsVersion is the current kubelet performance metrics
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// version. This is used by mutiple perf related data structures. We should
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// bump up the version each time we make an incompatible change to the metrics.
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const CurrentKubeletPerfMetricsVersion = "v2"
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// ResourceUsageToPerfData transforms ResourceUsagePerNode to PerfData. Notice that this function
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// only cares about memory usage, because cpu usage information will be extracted from NodesCPUSummary.
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@ -119,7 +120,7 @@ func ResourceUsageToPerfDataWithLabels(usagePerNode ResourceUsagePerNode, labels
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}
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}
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return &perftype.PerfData{
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Version: currentKubeletPerfMetricsVersion,
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Version: CurrentKubeletPerfMetricsVersion,
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DataItems: items,
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Labels: labels,
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}
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@ -149,7 +150,7 @@ func CPUUsageToPerfDataWithLabels(usagePerNode NodesCPUSummary, labels map[strin
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}
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}
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return &perftype.PerfData{
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Version: currentKubeletPerfMetricsVersion,
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Version: CurrentKubeletPerfMetricsVersion,
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DataItems: items,
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Labels: labels,
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}
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@ -41,6 +41,7 @@ go_library(
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"//test/e2e/common:go_default_library",
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"//test/e2e/framework:go_default_library",
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"//test/e2e/perftype:go_default_library",
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"//test/e2e_node/perftype:go_default_library",
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"//vendor/github.com/golang/glog:go_default_library",
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"//vendor/github.com/google/cadvisor/client/v2:go_default_library",
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"//vendor/github.com/google/cadvisor/info/v2:go_default_library",
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@ -163,6 +164,7 @@ filegroup(
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":package-srcs",
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"//test/e2e_node/builder:all-srcs",
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"//test/e2e_node/environment:all-srcs",
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"//test/e2e_node/perftype:all-srcs",
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"//test/e2e_node/remote:all-srcs",
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"//test/e2e_node/runner/local:all-srcs",
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"//test/e2e_node/runner/remote:all-srcs",
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@ -20,36 +20,57 @@ 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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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/kubernetes/test/e2e/framework"
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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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// TODO(coufon): be consistent with perf_util.go version
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currentDataVersion = "v1"
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TimeSeriesTag = "[Result:TimeSeries]"
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TimeSeriesEnd = "[Finish:TimeSeries]"
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TimeSeriesTag = "[Result:TimeSeries]"
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TimeSeriesEnd = "[Finish:TimeSeries]"
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)
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type NodeTimeSeries struct {
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// value in OperationData is an array of timestamps
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OperationData map[string][]int64 `json:"op_series,omitempty"`
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ResourceData map[string]*ResourceSeries `json:"resource_series,omitempty"`
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Labels map[string]string `json:"labels"`
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Version string `json:"version"`
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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.json", prefix, testName))
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labels["timestamp"] = strconv.FormatInt(time.Now().UTC().Unix(), 10)
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framework.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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framework.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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// logDensityTimeSeries logs the time series data of operation and resource usage
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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 := &NodeTimeSeries{
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timeSeries := &nodeperftype.NodeTimeSeries{
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Labels: testInfo,
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Version: currentDataVersion,
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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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@ -58,8 +79,12 @@ func logDensityTimeSeries(rc *ResourceCollector, create, watch map[string]metav1
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}
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// Attach resource time series.
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timeSeries.ResourceData = rc.GetResourceTimeSeries()
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// Log time series with tags
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framework.Logf("%s %s\n%s", TimeSeriesTag, framework.PrettyPrintJSON(timeSeries), TimeSeriesEnd)
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if framework.TestContext.ReportDir == "" {
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framework.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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@ -82,7 +107,7 @@ func getCumulatedPodTimeSeries(timePerPod map[string]metav1.Time) []int64 {
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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: currentDataVersion,
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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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@ -105,7 +130,7 @@ func getLatencyPerfData(latency framework.LatencyMetric, testInfo map[string]str
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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: currentDataVersion,
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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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@ -123,8 +148,10 @@ func getThroughputPerfData(batchLag time.Duration, e2eLags []framework.PodLatenc
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}
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}
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// getTestNodeInfo fetches the capacity of a node from API server and returns a map of labels.
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func getTestNodeInfo(f *framework.Framework, testName string) map[string]string {
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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.Core().Nodes().Get(nodeName, metav1.GetOptions{})
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Expect(err).NotTo(HaveOccurred())
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@ -154,5 +181,6 @@ func getTestNodeInfo(f *framework.Framework, testName string) map[string]string
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"test": testName,
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"image": node.Status.NodeInfo.OSImage,
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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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@ -94,10 +94,10 @@ var _ = framework.KubeDescribe("Density [Serial] [Slow]", func() {
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for _, testArg := range dTests {
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itArg := testArg
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It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval",
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itArg.podsNr, itArg.interval), func() {
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desc := fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval", itArg.podsNr, itArg.interval)
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It(desc, func() {
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itArg.createMethod = "batch"
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testInfo := getTestNodeInfo(f, itArg.getTestName())
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testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
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batchLag, e2eLags := runDensityBatchTest(f, rc, itArg, testInfo, false)
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@ -152,10 +152,10 @@ var _ = framework.KubeDescribe("Density [Serial] [Slow]", func() {
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for _, testArg := range dTests {
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itArg := testArg
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It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval [Benchmark]",
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itArg.podsNr, itArg.interval), func() {
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desc := fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval [Benchmark]", itArg.podsNr, itArg.interval)
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It(desc, func() {
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itArg.createMethod = "batch"
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testInfo := getTestNodeInfo(f, itArg.getTestName())
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testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
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batchLag, e2eLags := runDensityBatchTest(f, rc, itArg, testInfo, true)
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@ -189,10 +189,10 @@ var _ = framework.KubeDescribe("Density [Serial] [Slow]", func() {
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for _, testArg := range dTests {
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itArg := testArg
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It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval (QPS %d) [Benchmark]",
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itArg.podsNr, itArg.interval, itArg.APIQPSLimit), func() {
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desc := fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval (QPS %d) [Benchmark]", itArg.podsNr, itArg.interval, itArg.APIQPSLimit)
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It(desc, func() {
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itArg.createMethod = "batch"
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testInfo := getTestNodeInfo(f, itArg.getTestName())
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testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
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// The latency caused by API QPS limit takes a large portion (up to ~33%) of e2e latency.
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// It makes the pod startup latency of Kubelet (creation throughput as well) under-estimated.
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// Here we set API QPS limit from default 5 to 60 in order to test real Kubelet performance.
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@ -232,10 +232,10 @@ var _ = framework.KubeDescribe("Density [Serial] [Slow]", func() {
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for _, testArg := range dTests {
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itArg := testArg
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It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %d background pods",
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itArg.podsNr, itArg.bgPodsNr), func() {
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desc := fmt.Sprintf("latency/resource should be within limit when create %d pods with %d background pods", itArg.podsNr, itArg.bgPodsNr)
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It(desc, func() {
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itArg.createMethod = "sequence"
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testInfo := getTestNodeInfo(f, itArg.getTestName())
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testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
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batchlag, e2eLags := runDensitySeqTest(f, rc, itArg, testInfo)
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By("Verifying latency")
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@ -265,10 +265,10 @@ var _ = framework.KubeDescribe("Density [Serial] [Slow]", func() {
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for _, testArg := range dTests {
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itArg := testArg
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It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %d background pods [Benchmark]",
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itArg.podsNr, itArg.bgPodsNr), func() {
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desc := fmt.Sprintf("latency/resource should be within limit when create %d pods with %d background pods [Benchmark]", itArg.podsNr, itArg.bgPodsNr)
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It(desc, func() {
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itArg.createMethod = "sequence"
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testInfo := getTestNodeInfo(f, itArg.getTestName())
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testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
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batchlag, e2eLags := runDensitySeqTest(f, rc, itArg, testInfo)
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By("Verifying latency")
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@ -551,7 +551,7 @@ func logAndVerifyLatency(batchLag time.Duration, e2eLags []framework.PodLatencyD
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podCreateLatency := framework.PodStartupLatency{Latency: framework.ExtractLatencyMetrics(e2eLags)}
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// log latency perf data
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framework.PrintPerfData(getLatencyPerfData(podCreateLatency.Latency, testInfo))
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logPerfData(getLatencyPerfData(podCreateLatency.Latency, testInfo), "latency")
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if isVerify {
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// check whether e2e pod startup time is acceptable.
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@ -567,7 +567,7 @@ func logAndVerifyLatency(batchLag time.Duration, e2eLags []framework.PodLatencyD
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// logThroughput calculates and logs pod creation throughput.
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func logPodCreateThroughput(batchLag time.Duration, e2eLags []framework.PodLatencyData, podsNr int, testInfo map[string]string) {
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framework.PrintPerfData(getThroughputPerfData(batchLag, e2eLags, podsNr, testInfo))
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logPerfData(getThroughputPerfData(batchLag, e2eLags, podsNr, testInfo), "throughput")
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}
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// increaseKubeletAPIQPSLimit sets Kubelet API QPS via ConfigMap. Kubelet will restart with the new QPS.
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@ -119,7 +119,7 @@ for upload_attempt in $(seq 3); do
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if [[ -d "${ARTIFACTS}" && -n $(ls -A "${ARTIFACTS}") ]]; then
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V=2 kube::log::status "Uploading artifacts"
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gsutil -m -q -o "GSUtil:use_magicfile=True" cp -a "${gcs_acl}" -r -c \
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-z log,xml,xml "${ARTIFACTS}" "${GCS_LOGS_PATH}/artifacts" || continue
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-z log,xml,json "${ARTIFACTS}" "${GCS_LOGS_PATH}/artifacts" || continue
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fi
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break
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done
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@ -0,0 +1,27 @@
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package(default_visibility = ["//visibility:public"])
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licenses(["notice"])
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load(
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"@io_bazel_rules_go//go:def.bzl",
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"go_library",
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)
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go_library(
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name = "go_default_library",
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srcs = ["perftype.go"],
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tags = ["automanaged"],
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)
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filegroup(
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name = "package-srcs",
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srcs = glob(["**"]),
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tags = ["automanaged"],
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visibility = ["//visibility:private"],
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)
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filegroup(
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name = "all-srcs",
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srcs = [":package-srcs"],
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tags = ["automanaged"],
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)
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@ -0,0 +1,34 @@
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/*
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Copyright 2017 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 perftype
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// ResourceSeries defines the time series of the resource usage.
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type ResourceSeries struct {
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Timestamp []int64 `json:"ts"`
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CPUUsageInMilliCores []int64 `json:"cpu"`
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MemoryRSSInMegaBytes []int64 `json:"memory"`
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Units map[string]string `json:"unit"`
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}
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// NodeTimeSeries defines the time series of the operations and the resource
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// usage.
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type NodeTimeSeries struct {
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OperationData map[string][]int64 `json:"op_series,omitempty"`
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ResourceData map[string]*ResourceSeries `json:"resource_series,omitempty"`
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Labels map[string]string `json:"labels"`
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Version string `json:"version"`
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}
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@ -143,6 +143,13 @@ func getTestArtifacts(host, testDir string) error {
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if err != nil {
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return err
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}
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// Copy json files (if any) to artifacts.
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if _, err = SSH(host, "ls", fmt.Sprintf("%s/results/*.json", testDir)); err == nil {
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_, err = runSSHCommand("scp", "-r", fmt.Sprintf("%s:%s/results/*.json", GetHostnameOrIp(host), testDir), *resultsDir)
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if err != nil {
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return err
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}
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}
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// Copy junit to the top of artifacts
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_, err = runSSHCommand("scp", fmt.Sprintf("%s:%s/results/junit*", GetHostnameOrIp(host), testDir), *resultsDir)
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if err != nil {
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@ -43,6 +43,7 @@ import (
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stats "k8s.io/kubernetes/pkg/kubelet/apis/stats/v1alpha1"
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"k8s.io/kubernetes/pkg/util/procfs"
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"k8s.io/kubernetes/test/e2e/framework"
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"k8s.io/kubernetes/test/e2e_node/perftype"
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. "github.com/onsi/gomega"
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)
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@ -440,19 +441,11 @@ func newTestPods(numPods int, volume bool, imageName, podType string) []*v1.Pod
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return pods
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}
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// Time series of resource usage
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type ResourceSeries struct {
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Timestamp []int64 `json:"ts"`
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CPUUsageInMilliCores []int64 `json:"cpu"`
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MemoryRSSInMegaBytes []int64 `json:"memory"`
|
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Units map[string]string `json:"unit"`
|
||||
}
|
||||
|
||||
// GetResourceSeriesWithLabels gets the time series of resource usage of each container.
|
||||
func (r *ResourceCollector) GetResourceTimeSeries() map[string]*ResourceSeries {
|
||||
resourceSeries := make(map[string]*ResourceSeries)
|
||||
func (r *ResourceCollector) GetResourceTimeSeries() map[string]*perftype.ResourceSeries {
|
||||
resourceSeries := make(map[string]*perftype.ResourceSeries)
|
||||
for key, name := range systemContainers {
|
||||
newSeries := &ResourceSeries{Units: map[string]string{
|
||||
newSeries := &perftype.ResourceSeries{Units: map[string]string{
|
||||
"cpu": "mCPU",
|
||||
"memory": "MB",
|
||||
}}
|
||||
|
|
|
|||
|
|
@ -79,9 +79,9 @@ var _ = framework.KubeDescribe("Resource-usage [Serial] [Slow]", func() {
|
|||
|
||||
for _, testArg := range rTests {
|
||||
itArg := testArg
|
||||
|
||||
It(fmt.Sprintf("resource tracking for %d pods per node", itArg.podsNr), func() {
|
||||
testInfo := getTestNodeInfo(f, itArg.getTestName())
|
||||
desc := fmt.Sprintf("resource tracking for %d pods per node", itArg.podsNr)
|
||||
It(desc, func() {
|
||||
testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
|
||||
|
||||
runResourceUsageTest(f, rc, itArg)
|
||||
|
||||
|
|
@ -109,9 +109,9 @@ var _ = framework.KubeDescribe("Resource-usage [Serial] [Slow]", func() {
|
|||
|
||||
for _, testArg := range rTests {
|
||||
itArg := testArg
|
||||
|
||||
It(fmt.Sprintf("resource tracking for %d pods per node [Benchmark]", itArg.podsNr), func() {
|
||||
testInfo := getTestNodeInfo(f, itArg.getTestName())
|
||||
desc := fmt.Sprintf("resource tracking for %d pods per node [Benchmark]", itArg.podsNr)
|
||||
It(desc, func() {
|
||||
testInfo := getTestNodeInfo(f, itArg.getTestName(), desc)
|
||||
|
||||
runResourceUsageTest(f, rc, itArg)
|
||||
|
||||
|
|
@ -202,8 +202,8 @@ func logAndVerifyResource(f *framework.Framework, rc *ResourceCollector, cpuLimi
|
|||
cpuSummaryPerNode[nodeName] = cpuSummary
|
||||
|
||||
// Print resource usage
|
||||
framework.PrintPerfData(framework.ResourceUsageToPerfDataWithLabels(usagePerNode, testInfo))
|
||||
framework.PrintPerfData(framework.CPUUsageToPerfDataWithLabels(cpuSummaryPerNode, testInfo))
|
||||
logPerfData(framework.ResourceUsageToPerfDataWithLabels(usagePerNode, testInfo), "memory")
|
||||
logPerfData(framework.CPUUsageToPerfDataWithLabels(cpuSummaryPerNode, testInfo), "cpu")
|
||||
|
||||
// Verify resource usage
|
||||
if isVerify {
|
||||
|
|
|
|||
Loading…
Reference in New Issue