285 lines
10 KiB
Go
285 lines
10 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 e2e
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import (
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"fmt"
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"strings"
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"time"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/util/sets"
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"k8s.io/kubernetes/pkg/client/clientset_generated/clientset"
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"k8s.io/kubernetes/pkg/kubelet/api/v1alpha1/stats"
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"k8s.io/kubernetes/pkg/util/uuid"
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"k8s.io/kubernetes/test/e2e/framework"
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testutils "k8s.io/kubernetes/test/utils"
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. "github.com/onsi/ginkgo"
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. "github.com/onsi/gomega"
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)
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const (
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// Interval to poll /stats/container on a node
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containerStatsPollingPeriod = 10 * time.Second
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// The monitoring time for one test.
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monitoringTime = 20 * time.Minute
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// The periodic reporting period.
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reportingPeriod = 5 * time.Minute
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// Timeout for waiting for the image prepulling to complete.
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imagePrePullingLongTimeout = time.Minute * 8
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)
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type resourceTest struct {
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podsPerNode int
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cpuLimits framework.ContainersCPUSummary
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memLimits framework.ResourceUsagePerContainer
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}
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func logPodsOnNodes(c clientset.Interface, nodeNames []string) {
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for _, n := range nodeNames {
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podList, err := framework.GetKubeletRunningPods(c, n)
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if err != nil {
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framework.Logf("Unable to retrieve kubelet pods for node %v", n)
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continue
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}
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framework.Logf("%d pods are running on node %v", len(podList.Items), n)
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}
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}
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func runResourceTrackingTest(f *framework.Framework, podsPerNode int, nodeNames sets.String, rm *framework.ResourceMonitor,
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expectedCPU map[string]map[float64]float64, expectedMemory framework.ResourceUsagePerContainer) {
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numNodes := nodeNames.Len()
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totalPods := podsPerNode * numNodes
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By(fmt.Sprintf("Creating a RC of %d pods and wait until all pods of this RC are running", totalPods))
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rcName := fmt.Sprintf("resource%d-%s", totalPods, string(uuid.NewUUID()))
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// TODO: Use a more realistic workload
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Expect(framework.RunRC(testutils.RCConfig{
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Client: f.ClientSet,
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InternalClient: f.InternalClientset,
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Name: rcName,
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Namespace: f.Namespace.Name,
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Image: framework.GetPauseImageName(f.ClientSet),
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Replicas: totalPods,
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})).NotTo(HaveOccurred())
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// Log once and flush the stats.
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rm.LogLatest()
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rm.Reset()
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By("Start monitoring resource usage")
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// Periodically dump the cpu summary until the deadline is met.
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// Note that without calling framework.ResourceMonitor.Reset(), the stats
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// would occupy increasingly more memory. This should be fine
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// for the current test duration, but we should reclaim the
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// entries if we plan to monitor longer (e.g., 8 hours).
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deadline := time.Now().Add(monitoringTime)
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for time.Now().Before(deadline) {
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timeLeft := deadline.Sub(time.Now())
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framework.Logf("Still running...%v left", timeLeft)
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if timeLeft < reportingPeriod {
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time.Sleep(timeLeft)
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} else {
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time.Sleep(reportingPeriod)
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}
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logPodsOnNodes(f.ClientSet, nodeNames.List())
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}
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By("Reporting overall resource usage")
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logPodsOnNodes(f.ClientSet, nodeNames.List())
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usageSummary, err := rm.GetLatest()
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Expect(err).NotTo(HaveOccurred())
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// TODO(random-liu): Remove the original log when we migrate to new perfdash
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framework.Logf("%s", rm.FormatResourceUsage(usageSummary))
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// Log perf result
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framework.PrintPerfData(framework.ResourceUsageToPerfData(rm.GetMasterNodeLatest(usageSummary)))
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verifyMemoryLimits(f.ClientSet, expectedMemory, usageSummary)
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cpuSummary := rm.GetCPUSummary()
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framework.Logf("%s", rm.FormatCPUSummary(cpuSummary))
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// Log perf result
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framework.PrintPerfData(framework.CPUUsageToPerfData(rm.GetMasterNodeCPUSummary(cpuSummary)))
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verifyCPULimits(expectedCPU, cpuSummary)
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By("Deleting the RC")
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framework.DeleteRCAndPods(f.ClientSet, f.InternalClientset, f.Namespace.Name, rcName)
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}
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func verifyMemoryLimits(c clientset.Interface, expected framework.ResourceUsagePerContainer, actual framework.ResourceUsagePerNode) {
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if expected == nil {
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return
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}
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var errList []string
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for nodeName, nodeSummary := range actual {
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var nodeErrs []string
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for cName, expectedResult := range expected {
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container, ok := nodeSummary[cName]
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if !ok {
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nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: missing", cName))
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continue
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}
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expectedValue := expectedResult.MemoryRSSInBytes
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actualValue := container.MemoryRSSInBytes
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if expectedValue != 0 && actualValue > expectedValue {
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nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: expected RSS memory (MB) < %d; got %d",
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cName, expectedValue, actualValue))
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}
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}
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if len(nodeErrs) > 0 {
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errList = append(errList, fmt.Sprintf("node %v:\n %s", nodeName, strings.Join(nodeErrs, ", ")))
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heapStats, err := framework.GetKubeletHeapStats(c, nodeName)
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if err != nil {
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framework.Logf("Unable to get heap stats from %q", nodeName)
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} else {
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framework.Logf("Heap stats on %q\n:%v", nodeName, heapStats)
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}
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}
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}
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if len(errList) > 0 {
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framework.Failf("Memory usage exceeding limits:\n %s", strings.Join(errList, "\n"))
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}
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}
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func verifyCPULimits(expected framework.ContainersCPUSummary, actual framework.NodesCPUSummary) {
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if expected == nil {
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return
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}
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var errList []string
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for nodeName, perNodeSummary := range actual {
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var nodeErrs []string
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for cName, expectedResult := range expected {
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perContainerSummary, ok := perNodeSummary[cName]
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if !ok {
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nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: missing", cName))
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continue
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}
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for p, expectedValue := range expectedResult {
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actualValue, ok := perContainerSummary[p]
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if !ok {
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nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: missing percentile %v", cName, p))
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continue
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}
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if actualValue > expectedValue {
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nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: expected %.0fth%% usage < %.3f; got %.3f",
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cName, p*100, expectedValue, actualValue))
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}
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}
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}
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if len(nodeErrs) > 0 {
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errList = append(errList, fmt.Sprintf("node %v:\n %s", nodeName, strings.Join(nodeErrs, ", ")))
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}
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}
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if len(errList) > 0 {
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framework.Failf("CPU usage exceeding limits:\n %s", strings.Join(errList, "\n"))
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}
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}
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// Slow by design (1 hour)
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var _ = framework.KubeDescribe("Kubelet [Serial] [Slow]", func() {
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var nodeNames sets.String
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f := framework.NewDefaultFramework("kubelet-perf")
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var om *framework.RuntimeOperationMonitor
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var rm *framework.ResourceMonitor
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BeforeEach(func() {
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// Wait until image prepull pod has completed so that they wouldn't
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// affect the runtime cpu usage. Fail the test if prepulling cannot
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// finish in time.
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if err := framework.WaitForPodsSuccess(f.ClientSet, metav1.NamespaceSystem, framework.ImagePullerLabels, imagePrePullingLongTimeout); err != nil {
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framework.Failf("Image puller didn't complete in %v, not running resource usage test since the metrics might be adultrated", imagePrePullingLongTimeout)
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}
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nodes := framework.GetReadySchedulableNodesOrDie(f.ClientSet)
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nodeNames = sets.NewString()
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for _, node := range nodes.Items {
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nodeNames.Insert(node.Name)
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}
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om = framework.NewRuntimeOperationMonitor(f.ClientSet)
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rm = framework.NewResourceMonitor(f.ClientSet, framework.TargetContainers(), containerStatsPollingPeriod)
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rm.Start()
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})
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AfterEach(func() {
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rm.Stop()
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result := om.GetLatestRuntimeOperationErrorRate()
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framework.Logf("runtime operation error metrics:\n%s", framework.FormatRuntimeOperationErrorRate(result))
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})
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framework.KubeDescribe("regular resource usage tracking", func() {
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// We assume that the scheduler will make reasonable scheduling choices
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// and assign ~N pods on the node.
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// Although we want to track N pods per node, there are N + add-on pods
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// in the cluster. The cluster add-on pods can be distributed unevenly
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// among the nodes because they are created during the cluster
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// initialization. This *noise* is obvious when N is small. We
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// deliberately set higher resource usage limits to account for the
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// noise.
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//
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// We set all resource limits generously because this test is mainly
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// used to catch resource leaks in the soak cluster. For tracking
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// kubelet/runtime resource usage, please see the node e2e benchmark
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// dashboard. http://node-perf-dash.k8s.io/
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//
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// TODO(#36621): Deprecate this test once we have a node e2e soak
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// cluster.
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rTests := []resourceTest{
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{
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podsPerNode: 0,
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cpuLimits: framework.ContainersCPUSummary{
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stats.SystemContainerKubelet: {0.50: 0.10, 0.95: 0.20},
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stats.SystemContainerRuntime: {0.50: 0.10, 0.95: 0.20},
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},
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memLimits: framework.ResourceUsagePerContainer{
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stats.SystemContainerKubelet: &framework.ContainerResourceUsage{MemoryRSSInBytes: 70 * 1024 * 1024},
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// The detail can be found at https://github.com/kubernetes/kubernetes/issues/28384#issuecomment-244158892
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stats.SystemContainerRuntime: &framework.ContainerResourceUsage{MemoryRSSInBytes: 125 * 1024 * 1024},
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},
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},
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{
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cpuLimits: framework.ContainersCPUSummary{
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stats.SystemContainerKubelet: {0.50: 0.35, 0.95: 0.50},
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stats.SystemContainerRuntime: {0.50: 0.10, 0.95: 0.50},
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},
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podsPerNode: 100,
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memLimits: framework.ResourceUsagePerContainer{
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stats.SystemContainerKubelet: &framework.ContainerResourceUsage{MemoryRSSInBytes: 100 * 1024 * 1024},
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stats.SystemContainerRuntime: &framework.ContainerResourceUsage{MemoryRSSInBytes: 300 * 1024 * 1024},
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},
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},
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}
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for _, testArg := range rTests {
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itArg := testArg
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podsPerNode := itArg.podsPerNode
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name := fmt.Sprintf(
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"resource tracking for %d pods per node", podsPerNode)
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It(name, func() {
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runResourceTrackingTest(f, podsPerNode, nodeNames, rm, itArg.cpuLimits, itArg.memLimits)
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})
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}
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})
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framework.KubeDescribe("experimental resource usage tracking [Feature:ExperimentalResourceUsageTracking]", func() {
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density := []int{100}
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for i := range density {
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podsPerNode := density[i]
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name := fmt.Sprintf(
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"resource tracking for %d pods per node", podsPerNode)
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It(name, func() {
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runResourceTrackingTest(f, podsPerNode, nodeNames, rm, nil, nil)
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})
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}
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})
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})
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