// +build linux /* Copyright 2015 The Kubernetes Authors. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ package e2e_node import ( "fmt" "strings" "time" client "k8s.io/kubernetes/pkg/client/unversioned" "k8s.io/kubernetes/pkg/kubelet/api/v1alpha1/stats" "k8s.io/kubernetes/test/e2e/framework" . "github.com/onsi/ginkgo" . "github.com/onsi/gomega" ) var _ = framework.KubeDescribe("Resource-usage [Serial] [Slow]", func() { const ( // Interval to poll /stats/container on a node containerStatsPollingPeriod = 10 * time.Second // The monitoring time for one test. monitoringTime = 10 * time.Minute // The periodic reporting period. reportingPeriod = 5 * time.Minute sleepAfterCreatePods = 10 * time.Second ) var ( ns string rc *ResourceCollector om *framework.RuntimeOperationMonitor ) f := framework.NewDefaultFramework("resource-usage") BeforeEach(func() { ns = f.Namespace.Name om = framework.NewRuntimeOperationMonitor(f.Client) }) AfterEach(func() { result := om.GetLatestRuntimeOperationErrorRate() framework.Logf("runtime operation error metrics:\n%s", framework.FormatRuntimeOperationErrorRate(result)) }) // This test measures and verifies the steady resource usage of node is within limit // It collects data from a standalone Cadvisor with housekeeping interval 1s. // It verifies CPU percentiles and the lastest memory usage. Context("regular resource usage tracking", func() { rTests := []resourceTest{ { podsPerNode: 10, cpuLimits: framework.ContainersCPUSummary{ stats.SystemContainerKubelet: {0.50: 0.25, 0.95: 0.30}, stats.SystemContainerRuntime: {0.50: 0.30, 0.95: 0.40}, }, // We set the memory limits generously because the distribution // of the addon pods affect the memory usage on each node. memLimits: framework.ResourceUsagePerContainer{ stats.SystemContainerKubelet: &framework.ContainerResourceUsage{MemoryRSSInBytes: 100 * 1024 * 1024}, stats.SystemContainerRuntime: &framework.ContainerResourceUsage{MemoryRSSInBytes: 400 * 1024 * 1024}, }, }, } for _, testArg := range rTests { itArg := testArg podsPerNode := itArg.podsPerNode name := fmt.Sprintf("resource tracking for %d pods per node", podsPerNode) It(name, func() { // The test collects resource usage from a standalone Cadvisor pod. // The Cadvsior of Kubelet has a housekeeping interval of 10s, which is too long to // show the resource usage spikes. But changing its interval increases the overhead // of kubelet. Hence we use a Cadvisor pod. createCadvisorPod(f) rc = NewResourceCollector(containerStatsPollingPeriod) rc.Start() By("Creating a batch of Pods") pods := newTestPods(podsPerNode, ImageRegistry[pauseImage], "test_pod") for _, pod := range pods { f.PodClient().CreateSync(pod) } // wait for a while to let the node be steady time.Sleep(sleepAfterCreatePods) // Log once and flush the stats. rc.LogLatest() rc.Reset() By("Start monitoring resource usage") // Periodically dump the cpu summary until the deadline is met. // Note that without calling framework.ResourceMonitor.Reset(), the stats // would occupy increasingly more memory. This should be fine // for the current test duration, but we should reclaim the // entries if we plan to monitor longer (e.g., 8 hours). deadline := time.Now().Add(monitoringTime) for time.Now().Before(deadline) { timeLeft := deadline.Sub(time.Now()) framework.Logf("Still running...%v left", timeLeft) if timeLeft < reportingPeriod { time.Sleep(timeLeft) } else { time.Sleep(reportingPeriod) } logPods(f.Client) } rc.Stop() By("Reporting overall resource usage") logPods(f.Client) // Log and verify resource usage verifyResource(f, itArg.cpuLimits, itArg.memLimits, rc) }) } }) }) type resourceTest struct { podsPerNode int cpuLimits framework.ContainersCPUSummary memLimits framework.ResourceUsagePerContainer } // verifyResource verifies whether resource usage satisfies the limit. func verifyResource(f *framework.Framework, cpuLimits framework.ContainersCPUSummary, memLimits framework.ResourceUsagePerContainer, rc *ResourceCollector) { nodeName := framework.TestContext.NodeName // Obtain memory PerfData usagePerContainer, err := rc.GetLatest() Expect(err).NotTo(HaveOccurred()) framework.Logf("%s", formatResourceUsageStats(usagePerContainer)) usagePerNode := make(framework.ResourceUsagePerNode) usagePerNode[nodeName] = usagePerContainer // Obtain cpu PerfData cpuSummary := rc.GetCPUSummary() framework.Logf("%s", formatCPUSummary(cpuSummary)) cpuSummaryPerNode := make(framework.NodesCPUSummary) cpuSummaryPerNode[nodeName] = cpuSummary // Log resource usage framework.PrintPerfData(framework.ResourceUsageToPerfData(usagePerNode)) framework.PrintPerfData(framework.CPUUsageToPerfData(cpuSummaryPerNode)) // Verify resource usage verifyMemoryLimits(f.Client, memLimits, usagePerNode) verifyCPULimits(cpuLimits, cpuSummaryPerNode) } func verifyMemoryLimits(c *client.Client, expected framework.ResourceUsagePerContainer, actual framework.ResourceUsagePerNode) { if expected == nil { return } var errList []string for nodeName, nodeSummary := range actual { var nodeErrs []string for cName, expectedResult := range expected { container, ok := nodeSummary[cName] if !ok { nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: missing", cName)) continue } expectedValue := expectedResult.MemoryRSSInBytes actualValue := container.MemoryRSSInBytes if expectedValue != 0 && actualValue > expectedValue { nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: expected RSS memory (MB) < %d; got %d", cName, expectedValue, actualValue)) } } if len(nodeErrs) > 0 { errList = append(errList, fmt.Sprintf("node %v:\n %s", nodeName, strings.Join(nodeErrs, ", "))) heapStats, err := framework.GetKubeletHeapStats(c, nodeName) if err != nil { framework.Logf("Unable to get heap stats from %q", nodeName) } else { framework.Logf("Heap stats on %q\n:%v", nodeName, heapStats) } } } if len(errList) > 0 { framework.Failf("Memory usage exceeding limits:\n %s", strings.Join(errList, "\n")) } } func verifyCPULimits(expected framework.ContainersCPUSummary, actual framework.NodesCPUSummary) { if expected == nil { return } var errList []string for nodeName, perNodeSummary := range actual { var nodeErrs []string for cName, expectedResult := range expected { perContainerSummary, ok := perNodeSummary[cName] if !ok { nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: missing", cName)) continue } for p, expectedValue := range expectedResult { actualValue, ok := perContainerSummary[p] if !ok { nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: missing percentile %v", cName, p)) continue } if actualValue > expectedValue { nodeErrs = append(nodeErrs, fmt.Sprintf("container %q: expected %.0fth%% usage < %.3f; got %.3f", cName, p*100, expectedValue, actualValue)) } } } if len(nodeErrs) > 0 { errList = append(errList, fmt.Sprintf("node %v:\n %s", nodeName, strings.Join(nodeErrs, ", "))) } } if len(errList) > 0 { framework.Failf("CPU usage exceeding limits:\n %s", strings.Join(errList, "\n")) } } func logPods(c *client.Client) { nodeName := framework.TestContext.NodeName podList, err := framework.GetKubeletRunningPods(c, nodeName) if err != nil { framework.Logf("Unable to retrieve kubelet pods for node %v", nodeName) } framework.Logf("%d pods are running on node %v", len(podList.Items), nodeName) }