mirror of
https://github.com/k3s-io/kubernetes.git
synced 2025-08-11 13:02:14 +00:00
e2e: add resourceMontior to poll resource usages on the nodes
This change adds resourceMontior, which spawns a goroutine per node to poll the container stats for known, relevant containers, computes the resource usage and stores the data. Users can then examine the data in the buffer to get resource of each individual containers.
This commit is contained in:
Yu-Ju Hong
parent
bfd22a6974
commit
12a252bd8b
@ -34,8 +34,9 @@ import (
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const (
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// Interval to poll /runningpods on a node
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pollInterval = 1 * time.Second
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// Interval used compute cpu usage of a container
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cpuIntervalInSeconds = 60
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// Interval to poll /stats/container on a node
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containerStatsPollingInterval = 5 * time.Second
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resourceCollectionTime = 1 * time.Minute
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)
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// getPodMatches returns a set of pod names on the given node that matches the
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@ -87,10 +88,11 @@ func waitTillNPodsRunningOnNodes(c *client.Client, nodeNames util.StringSet, pod
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})
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}
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var _ = Describe("Clean up pods on node", func() {
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var _ = Describe("kubelet", func() {
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var numNodes int
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var nodeNames util.StringSet
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framework := NewFramework("kubelet-delete")
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framework := NewFramework("kubelet")
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var resourceMonitor *resourceMonitor
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BeforeEach(func() {
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nodes, err := framework.Client.Nodes().List(labels.Everything(), fields.Everything())
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@ -100,56 +102,73 @@ var _ = Describe("Clean up pods on node", func() {
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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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logOneTimeResourceUsageSummary(framework.Client, nodeNames.List(), cpuIntervalInSeconds)
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resourceMonitor = newResourceMonitor(framework.Client, targetContainers, containerStatsPollingInterval)
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resourceMonitor.Start()
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})
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type DeleteTest struct {
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podsPerNode int
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timeout time.Duration
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}
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AfterEach(func() {
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resourceMonitor.Stop()
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})
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deleteTests := []DeleteTest{
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{podsPerNode: 10, timeout: 1 * time.Minute},
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}
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Describe("Clean up pods on node", func() {
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type DeleteTest struct {
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podsPerNode int
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timeout time.Duration
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}
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deleteTests := []DeleteTest{
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{podsPerNode: 10, timeout: 1 * time.Minute},
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}
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for _, itArg := range deleteTests {
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name := fmt.Sprintf(
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"kubelet should be able to delete %d pods per node in %v.", itArg.podsPerNode, itArg.timeout)
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It(name, func() {
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totalPods := itArg.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("cleanup%d-%s", totalPods, string(util.NewUUID()))
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for _, itArg := range deleteTests {
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name := fmt.Sprintf(
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"kubelet should be able to delete %d pods per node in %v.", itArg.podsPerNode, itArg.timeout)
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It(name, func() {
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totalPods := itArg.podsPerNode * numNodes
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Expect(RunRC(RCConfig{
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Client: framework.Client,
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Name: rcName,
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Namespace: framework.Namespace.Name,
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Image: "gcr.io/google_containers/pause:go",
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Replicas: totalPods,
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})).NotTo(HaveOccurred())
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// Perform a sanity check so that we know all desired pods are
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// running on the nodes according to kubelet. The timeout is set to
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// only 30 seconds here because RunRC already waited for all pods to
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// transition to the running status.
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Expect(waitTillNPodsRunningOnNodes(framework.Client, nodeNames, rcName, framework.Namespace.Name, totalPods,
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time.Second*30)).NotTo(HaveOccurred())
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resourceMonitor.LogLatest()
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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("cleanup%d-%s", totalPods, string(util.NewUUID()))
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By("Deleting the RC")
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DeleteRC(framework.Client, framework.Namespace.Name, rcName)
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// Check that the pods really are gone by querying /runningpods on the
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// node. The /runningpods handler checks the container runtime (or its
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// cache) and returns a list of running pods. Some possible causes of
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// failures are:
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// - kubelet deadlock
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// - a bug in graceful termination (if it is enabled)
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// - docker slow to delete pods (or resource problems causing slowness)
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start := time.Now()
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Expect(waitTillNPodsRunningOnNodes(framework.Client, nodeNames, rcName, framework.Namespace.Name, 0,
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itArg.timeout)).NotTo(HaveOccurred())
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Logf("Deleting %d pods on %d nodes completed in %v after the RC was deleted", totalPods, len(nodeNames),
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time.Since(start))
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resourceMonitor.LogCPUSummary()
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})
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}
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})
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Expect(RunRC(RCConfig{
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Client: framework.Client,
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Name: rcName,
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Namespace: framework.Namespace.Name,
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Image: "gcr.io/google_containers/pause:go",
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Replicas: totalPods,
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})).NotTo(HaveOccurred())
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// Perform a sanity check so that we know all desired pods are
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// running on the nodes according to kubelet. The timeout is set to
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// only 30 seconds here because RunRC already waited for all pods to
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// transition to the running status.
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Expect(waitTillNPodsRunningOnNodes(framework.Client, nodeNames, rcName, framework.Namespace.Name, totalPods,
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time.Second*30)).NotTo(HaveOccurred())
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logOneTimeResourceUsageSummary(framework.Client, nodeNames.List(), cpuIntervalInSeconds)
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By("Deleting the RC")
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DeleteRC(framework.Client, framework.Namespace.Name, rcName)
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// Check that the pods really are gone by querying /runningpods on the
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// node. The /runningpods handler checks the container runtime (or its
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// cache) and returns a list of running pods. Some possible causes of
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// failures are:
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// - kubelet deadlock
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// - a bug in graceful termination (if it is enabled)
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// - docker slow to delete pods (or resource problems causing slowness)
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start := time.Now()
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Expect(waitTillNPodsRunningOnNodes(framework.Client, nodeNames, rcName, framework.Namespace.Name, 0,
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itArg.timeout)).NotTo(HaveOccurred())
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Logf("Deleting %d pods on %d nodes completed in %v after the RC was deleted", totalPods, len(nodeNames),
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time.Since(start))
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Describe("Monitor resource usage on node", func() {
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It("Ask kubelet to report container resource usage", func() {
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// TODO: After gathering some numbers, we should set a resource
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// limit for each container and fail the test if the usage exceeds
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// the preset limit.
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By(fmt.Sprintf("Waiting %v to collect resource usage on node", resourceCollectionTime))
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time.Sleep(resourceCollectionTime)
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resourceMonitor.LogLatest()
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resourceMonitor.LogCPUSummary()
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})
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}
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})
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})
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@ -30,9 +30,12 @@ import (
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"github.com/GoogleCloudPlatform/kubernetes/pkg/api"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/client"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/fields"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/kubelet"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/kubelet/metrics"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/labels"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/master/ports"
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"github.com/GoogleCloudPlatform/kubernetes/pkg/util"
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cadvisor "github.com/google/cadvisor/info/v1"
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)
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@ -234,9 +237,6 @@ type containerResourceUsage struct {
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// interval (and #containers) increases, the size of kubelet's response
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// could be sigificant. E.g., the 60s interval stats for ~20 containers is
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// ~1.5MB. Don't hammer the node with frequent, heavy requests.
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// TODO: Implement a constant, lightweight resource monitor, which polls
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// kubelet every few second, stores the data, and reports meaningful statistics
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// numbers over a longer period (e.g., max/mean cpu usage in the last hour).
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//
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// cadvisor records cumulative cpu usage in nanoseconds, so we need to have two
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// stats points to compute the cpu usage over the interval. Assuming cadvisor
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@ -267,14 +267,7 @@ func getOneTimeResourceUsageOnNode(c *client.Client, nodeName string, cpuInterva
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}
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first := info.Stats[0]
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last := info.Stats[len(info.Stats)-1]
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usageMap[name] = &containerResourceUsage{
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Name: name,
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Timestamp: last.Timestamp,
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CPUUsageInCores: float64(last.Cpu.Usage.Total-first.Cpu.Usage.Total) / float64(last.Timestamp.Sub(first.Timestamp).Nanoseconds()),
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MemoryUsageInBytes: int64(last.Memory.Usage),
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MemoryWorkingSetInBytes: int64(last.Memory.WorkingSet),
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CPUInterval: last.Timestamp.Sub(first.Timestamp),
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}
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usageMap[name] = computeContainerResourceUsage(name, first, last)
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}
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return usageMap, nil
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}
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@ -358,3 +351,186 @@ func GetKubeletPods(c *client.Client, node string) (*api.PodList, error) {
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}
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return result, nil
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}
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func computeContainerResourceUsage(name string, oldStats, newStats *cadvisor.ContainerStats) *containerResourceUsage {
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return &containerResourceUsage{
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Name: name,
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Timestamp: newStats.Timestamp,
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CPUUsageInCores: float64(newStats.Cpu.Usage.Total-oldStats.Cpu.Usage.Total) / float64(newStats.Timestamp.Sub(oldStats.Timestamp).Nanoseconds()),
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MemoryUsageInBytes: int64(newStats.Memory.Usage),
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MemoryWorkingSetInBytes: int64(newStats.Memory.WorkingSet),
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CPUInterval: newStats.Timestamp.Sub(oldStats.Timestamp),
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}
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}
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// resourceCollector periodically polls the node, collect stats for a given
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// list of containers, computes and cache resource usage up to
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// maxEntriesPerContainer for each container.
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type resourceCollector struct {
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node string
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containers []string
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client *client.Client
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buffers map[string][]*containerResourceUsage
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pollingInterval time.Duration
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stopCh chan struct{}
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}
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func newResourceCollector(c *client.Client, nodeName string, containerNames []string, pollingInterval time.Duration) *resourceCollector {
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buffers := make(map[string][]*containerResourceUsage)
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return &resourceCollector{
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node: nodeName,
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containers: containerNames,
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client: c,
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buffers: buffers,
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pollingInterval: pollingInterval,
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}
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}
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// Start starts a goroutine to poll the node every pollingInerval.
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func (r *resourceCollector) Start() {
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r.stopCh = make(chan struct{}, 1)
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// Keep the last observed stats for comparison.
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oldStats := make(map[string]*cadvisor.ContainerStats)
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go util.Until(func() { r.collectStats(oldStats) }, r.pollingInterval, r.stopCh)
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}
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// Stop sends a signal to terminate the stats collecting goroutine.
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func (r *resourceCollector) Stop() {
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close(r.stopCh)
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}
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// collectStats gets the latest stats from kubelet's /stats/container, computes
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// the resource usage, and pushes it to the buffer.
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func (r *resourceCollector) collectStats(oldStats map[string]*cadvisor.ContainerStats) {
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infos, err := getContainerInfo(r.client, r.node, &kubelet.StatsRequest{
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ContainerName: "/",
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NumStats: 1,
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Subcontainers: true,
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})
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if err != nil {
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Logf("Error getting container info on %q, err: %v", r.node, err)
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return
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}
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for _, name := range r.containers {
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info, ok := infos[name]
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if !ok || len(info.Stats) < 1 {
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Logf("Missing info/stats for container %q on node %q", name, r.node)
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return
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}
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if _, ok := oldStats[name]; ok {
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r.buffers[name] = append(r.buffers[name], computeContainerResourceUsage(name, oldStats[name], info.Stats[0]))
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}
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oldStats[name] = info.Stats[0]
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}
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}
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// LogLatest logs the latest resource usage of each container.
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func (r *resourceCollector) LogLatest() {
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stats := make(map[string]*containerResourceUsage)
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for _, name := range r.containers {
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s := r.buffers[name][len(r.buffers)-1]
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if s == nil {
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Logf("Resource usage on node %q is not ready yet", r.node)
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return
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}
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stats[name] = s
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}
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Logf("\n%s", formatResourceUsageStats(r.node, stats))
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}
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type resourceUsageByCPU []*containerResourceUsage
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func (r resourceUsageByCPU) Len() int { return len(r) }
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func (r resourceUsageByCPU) Swap(i, j int) { r[i], r[j] = r[j], r[i] }
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func (r resourceUsageByCPU) Less(i, j int) bool { return r[i].CPUUsageInCores < r[j].CPUUsageInCores }
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var percentiles = [...]float64{0.05, 0.50, 0.90, 0.95}
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// GetBasicCPUStats returns the 5-th, 50-th, and 95-th, percentiles the cpu
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// usage in cores for containerName. This method examines all data currently in the buffer.
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func (r *resourceCollector) GetBasicCPUStats(containerName string) map[float64]float64 {
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result := make(map[float64]float64, len(percentiles))
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usages := r.buffers[containerName]
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sort.Sort(resourceUsageByCPU(usages))
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for _, q := range percentiles {
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index := int(float64(len(usages))*q) - 1
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if index < 0 {
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index = 0
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}
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result[q] = usages[index].CPUUsageInCores
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}
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return result
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}
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// resourceMonitor manages a resourceCollector per node.
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type resourceMonitor struct {
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client *client.Client
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containers []string
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pollingInterval time.Duration
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collectors map[string]*resourceCollector
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}
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func newResourceMonitor(c *client.Client, containerNames []string, pollingInterval time.Duration) *resourceMonitor {
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return &resourceMonitor{
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containers: containerNames,
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client: c,
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pollingInterval: pollingInterval,
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}
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}
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func (r *resourceMonitor) Start() {
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nodes, err := r.client.Nodes().List(labels.Everything(), fields.Everything())
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if err != nil {
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Failf("resourceMonitor: unable to get list of nodes: %v", err)
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}
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r.collectors = make(map[string]*resourceCollector, 0)
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for _, node := range nodes.Items {
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collector := newResourceCollector(r.client, node.Name, r.containers, pollInterval)
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r.collectors[node.Name] = collector
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collector.Start()
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}
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}
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func (r *resourceMonitor) Stop() {
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for _, collector := range r.collectors {
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collector.Stop()
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}
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}
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func (r *resourceMonitor) LogLatest() {
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for _, collector := range r.collectors {
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collector.LogLatest()
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}
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}
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func (r *resourceMonitor) LogCPUSummary() {
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// Example output for a node:
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// CPU usage of containers on node "e2e-test-yjhong-minion-0vj7":
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// container 5th% 50th% 90th% 95th%
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// "/" 0.051 0.159 0.387 0.455
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// "/docker-daemon" 0.000 0.000 0.146 0.166
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// "/kubelet" 0.036 0.053 0.091 0.154
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// "/kube-proxy" 0.017 0.000 0.000 0.000
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// "/system" 0.001 0.001 0.001 0.002
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var header []string
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header = append(header, "container")
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for _, p := range percentiles {
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header = append(header, fmt.Sprintf("%.0fth%%", p*100))
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}
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for nodeName, collector := range r.collectors {
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buf := &bytes.Buffer{}
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w := tabwriter.NewWriter(buf, 1, 0, 1, ' ', 0)
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fmt.Fprintf(w, "%s\n", strings.Join(header, "\t"))
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for _, containerName := range targetContainers {
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data := collector.GetBasicCPUStats(containerName)
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var s []string
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s = append(s, fmt.Sprintf("%q", containerName))
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for _, p := range percentiles {
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s = append(s, fmt.Sprintf("%.3f", data[p]))
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}
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fmt.Fprintf(w, "%s\n", strings.Join(s, "\t"))
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}
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w.Flush()
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Logf("\nCPU usage of containers on node %q:\n%s", nodeName, buf.String())
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}
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}
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