github/kubernetes
1
0
Fork 0
mirror of https://github.com/k3s-io/kubernetes.git synced 2025-08-04 01:40:07 +00:00
Code Issues Projects Releases Wiki Activity

Merge pull request #29991 from kubernetes/revert-29764-node_density_and_performance_test

Browse Source 
Revert "Add density (batch pods creation latency and resource) and resource performance tests to `test-e2e-node'"
This commit is contained in:
Marek Grabowski 2016-08-03 16:23:57 +02:00 committed by GitHub
commit 0c49436c80
8 changed files with 0 additions and 1639 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
Godeps/Godeps.json generated
View File

@ -1043,11 +1043,6 @@
"Comment": "v0.23.2-63-ge47efa0", "Comment": "v0.23.2-63-ge47efa0",
"Rev": "e47efa0e8af65e9a2a2eb2ce955e156eac067852" "Rev": "e47efa0e8af65e9a2a2eb2ce955e156eac067852"
}, },
{
"ImportPath": "github.com/google/cadvisor/client/v2",
"Comment": "v0.23.2-63-ge47efa0",
"Rev": "e47efa0e8af65e9a2a2eb2ce955e156eac067852"
},
{ {
"ImportPath": "github.com/google/cadvisor/collector", "ImportPath": "github.com/google/cadvisor/collector",
"Comment": "v0.23.2-63-ge47efa0", "Comment": "v0.23.2-63-ge47efa0",

198
Godeps/LICENSES generated
View File

@ -33571,204 +33571,6 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
================================================================================ ================================================================================
================================================================================
= vendor/github.com/google/cadvisor/client/v2 licensed under: =
Copyright 2014 The cAdvisor 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.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
= vendor/github.com/google/cadvisor/LICENSE e7790b946bfacb700e8a8f2baedb3205 -
================================================================================
================================================================================ ================================================================================
= vendor/github.com/google/cadvisor/collector licensed under: = = vendor/github.com/google/cadvisor/collector licensed under: =

430
test/e2e_node/density_test.go
View File

@ -1,430 +0,0 @@
/*
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 (
"errors"
"fmt"
"sort"
"strconv"
"sync"
"time"
"k8s.io/kubernetes/pkg/api"
apierrors "k8s.io/kubernetes/pkg/api/errors"
"k8s.io/kubernetes/pkg/api/unversioned"
"k8s.io/kubernetes/pkg/client/cache"
controllerframework "k8s.io/kubernetes/pkg/controller/framework"
"k8s.io/kubernetes/pkg/kubelet/api/v1alpha1/stats"
kubemetrics "k8s.io/kubernetes/pkg/kubelet/metrics"
"k8s.io/kubernetes/pkg/labels"
"k8s.io/kubernetes/pkg/metrics"
"k8s.io/kubernetes/pkg/runtime"
"k8s.io/kubernetes/pkg/watch"
"k8s.io/kubernetes/test/e2e/framework"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
const (
kubeletAddr = "localhost:10255"
)
var _ = framework.KubeDescribe("Density [Serial] [Slow]", func() {
const (
// the data collection time of `resource collector' and the standalone cadvisor
// is not synchronizated. Therefore `resource collector' may miss data or
// collect duplicated data
monitoringInterval = 500 * time.Millisecond
sleepBeforeCreatePods = 30 * time.Second
)
var (
ns string
nodeName string
)
f := framework.NewDefaultFramework("density-test")
podType := "density_test_pod"
BeforeEach(func() {
ns = f.Namespace.Name
nodeName = framework.TestContext.NodeName
})
AfterEach(func() {
})
Context("create a batch of pods", func() {
densityTests := []DensityTest{
{
podsNr: 10,
interval: 0 * time.Millisecond,
cpuLimits: framework.ContainersCPUSummary{
stats.SystemContainerKubelet: {0.50: 0.20, 0.95: 0.30},
stats.SystemContainerRuntime: {0.50: 0.40, 0.95: 0.60},
},
memLimits: framework.ResourceUsagePerContainer{
stats.SystemContainerKubelet: &framework.ContainerResourceUsage{MemoryRSSInBytes: 100 * 1024 * 1024},
stats.SystemContainerRuntime: &framework.ContainerResourceUsage{MemoryRSSInBytes: 400 * 1024 * 1024},
},
// percentile limit of single pod startup latency
podStartupLimits: framework.LatencyMetric{
Perc50: 10 * time.Second,
Perc90: 15 * time.Second,
Perc99: 20 * time.Second,
},
// upbound of startup latency of a batch of pods
podBatchStartupLimit: 25 * time.Second,
},
}
for _, testArg := range densityTests {
itArg := testArg
It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %v interval",
itArg.podsNr, itArg.interval), func() {
var (
mutex = &sync.Mutex{}
watchTimes = make(map[string]unversioned.Time, 0)
stopCh = make(chan struct{})
)
// create specifications of the test pods
pods := newTestPods(itArg.podsNr, ImageRegistry[pauseImage], podType)
// start a standalone cadvisor pod
// it uses `createSync', so the pod is running when it returns
createCadvisorPod(f)
// `resource collector' monitoring fine-grain CPU/memory usage by a standalone Cadvisor with
// 1s housingkeeping interval
rm := NewResourceCollector(monitoringInterval)
// the controller watches the change of pod status
controller := newInformerWatchPod(f, mutex, watchTimes, podType)
go controller.Run(stopCh)
// Zhou: In test we see kubelet starts while it is busy on something, as a result `syncLoop'
// does not response to pod creation immediately. Creating the first pod has a delay around 5s.
// The node status has been `ready' so `wait and check node being ready' does not help here.
// Now wait here for a grace period to have `syncLoop' be ready
time.Sleep(sleepBeforeCreatePods)
// the density test only monitors the overhead of creating pod
// or start earliest and call `rm.Reset()' here to clear the buffer
rm.Start()
By("Creating a batch of pods")
// it returns a map[`pod name']`creation time' as the creation timestamps
createTimes := createBatchPodWithRateControl(f, pods, itArg.interval)
By("Waiting for all Pods to be observed by the watch...")
// checks every 10s util all pods are running. it times out ater 10min
Eventually(func() bool {
return len(watchTimes) == itArg.podsNr
}, 10*time.Minute, 10*time.Second).Should(BeTrue())
if len(watchTimes) < itArg.podsNr {
framework.Failf("Timeout reached waiting for all Pods to be observed by the watch.")
}
// stop the watching controller, and the resource collector
close(stopCh)
rm.Stop()
// data analyis
var (
firstCreate unversioned.Time
lastRunning unversioned.Time
init = true
e2eLags = make([]framework.PodLatencyData, 0)
)
for name, create := range createTimes {
watch, ok := watchTimes[name]
Expect(ok).To(Equal(true))
e2eLags = append(e2eLags,
framework.PodLatencyData{Name: name, Latency: watch.Time.Sub(create.Time)})
if !init {
if firstCreate.Time.After(create.Time) {
firstCreate = create
}
if lastRunning.Time.Before(watch.Time) {
lastRunning = watch
}
} else {
init = false
firstCreate, lastRunning = create, watch
}
}
sort.Sort(framework.LatencySlice(e2eLags))
// verify latency
By("Verifying latency")
verifyLatency(lastRunning.Time.Sub(firstCreate.Time), e2eLags, itArg)
// verify resource
By("Verifying resource")
verifyResource(f, testArg, rm)
})
}
})
Context("create a sequence of pods", func() {
densityTests := []DensityTest{
{
podsNr: 10,
bgPodsNr: 10,
cpuLimits: framework.ContainersCPUSummary{
stats.SystemContainerKubelet: {0.50: 0.20, 0.95: 0.25},
stats.SystemContainerRuntime: {0.50: 0.40, 0.95: 0.60},
},
memLimits: framework.ResourceUsagePerContainer{
stats.SystemContainerKubelet: &framework.ContainerResourceUsage{MemoryRSSInBytes: 100 * 1024 * 1024},
stats.SystemContainerRuntime: &framework.ContainerResourceUsage{MemoryRSSInBytes: 400 * 1024 * 1024},
},
podStartupLimits: framework.LatencyMetric{
Perc50: 3000 * time.Millisecond,
Perc90: 4000 * time.Millisecond,
Perc99: 5000 * time.Millisecond,
},
},
}
for _, testArg := range densityTests {
itArg := testArg
It(fmt.Sprintf("latency/resource should be within limit when create %d pods with %d background pods",
itArg.podsNr, itArg.bgPodsNr), func() {
bgPods := newTestPods(itArg.bgPodsNr, ImageRegistry[pauseImage], "background_pod")
testPods := newTestPods(itArg.podsNr, ImageRegistry[pauseImage], podType)
createCadvisorPod(f)
rm := NewResourceCollector(monitoringInterval)
By("Creating a batch of background pods")
// creatBatch is synchronized
// all pods are running when it returns
f.PodClient().CreateBatch(bgPods)
time.Sleep(sleepBeforeCreatePods)
// starting resource monitoring
rm.Start()
// do a sequential creation of pod (back to back)
batchlag, e2eLags := createBatchPodSequential(f, testPods)
rm.Stop()
// verify latency
By("Verifying latency")
verifyLatency(batchlag, e2eLags, itArg)
// verify resource
By("Verifying resource")
verifyResource(f, testArg, rm)
})
}
})
})
type DensityTest struct {
// number of pods
podsNr int
// number of background pods
bgPodsNr int
// interval between creating pod (rate control)
interval time.Duration
// resource bound
cpuLimits framework.ContainersCPUSummary
memLimits framework.ResourceUsagePerContainer
podStartupLimits framework.LatencyMetric
podBatchStartupLimit time.Duration
}
// it creates a batch of pods concurrently, uses one goroutine for each creation.
// between creations there is an interval for throughput control
func createBatchPodWithRateControl(f *framework.Framework, pods []*api.Pod, interval time.Duration) map[string]unversioned.Time {
createTimes := make(map[string]unversioned.Time)
for _, pod := range pods {
createTimes[pod.ObjectMeta.Name] = unversioned.Now()
go f.PodClient().Create(pod)
time.Sleep(interval)
}
return createTimes
}
func checkPodDeleted(f *framework.Framework, podName string) error {
ns := f.Namespace.Name
_, err := f.Client.Pods(ns).Get(podName)
if apierrors.IsNotFound(err) {
return nil
}
return errors.New("Pod Not Deleted")
}
// get prometheus metric `pod start latency' from kubelet
func getPodStartLatency(node string) (framework.KubeletLatencyMetrics, error) {
latencyMetrics := framework.KubeletLatencyMetrics{}
ms, err := metrics.GrabKubeletMetricsWithoutProxy(node)
Expect(err).NotTo(HaveOccurred())
for _, samples := range ms {
for _, sample := range samples {
if sample.Metric["__name__"] == kubemetrics.KubeletSubsystem+"_"+kubemetrics.PodStartLatencyKey {
quantile, _ := strconv.ParseFloat(string(sample.Metric["quantile"]), 64)
latencyMetrics = append(latencyMetrics,
framework.KubeletLatencyMetric{
Quantile: quantile,
Method: kubemetrics.PodStartLatencyKey,
Latency: time.Duration(int(sample.Value)) * time.Microsecond})
}
}
}
return latencyMetrics, nil
}
// Verifies whether 50, 90 and 99th percentiles of PodStartupLatency are
// within the threshold.
func verifyPodStartupLatency(expect, actual framework.LatencyMetric) error {
if actual.Perc50 > expect.Perc50 {
return fmt.Errorf("too high pod startup latency 50th percentile: %v", actual.Perc50)
}
if actual.Perc90 > expect.Perc90 {
return fmt.Errorf("too high pod startup latency 90th percentile: %v", actual.Perc90)
}
if actual.Perc99 > actual.Perc99 {
return fmt.Errorf("too high pod startup latency 99th percentil: %v", actual.Perc99)
}
return nil
}
func newInformerWatchPod(f *framework.Framework, mutex *sync.Mutex, watchTimes map[string]unversioned.Time,
podType string) *controllerframework.Controller {
ns := f.Namespace.Name
checkPodRunning := func(p *api.Pod) {
mutex.Lock()
defer mutex.Unlock()
defer GinkgoRecover()
if p.Status.Phase == api.PodRunning {
if _, found := watchTimes[p.Name]; !found {
watchTimes[p.Name] = unversioned.Now()
}
}
}
_, controller := controllerframework.NewInformer(
&cache.ListWatch{
ListFunc: func(options api.ListOptions) (runtime.Object, error) {
options.LabelSelector = labels.SelectorFromSet(labels.Set{"type": podType})
return f.Client.Pods(ns).List(options)
},
WatchFunc: func(options api.ListOptions) (watch.Interface, error) {
options.LabelSelector = labels.SelectorFromSet(labels.Set{"type": podType})
return f.Client.Pods(ns).Watch(options)
},
},
&api.Pod{},
0,
controllerframework.ResourceEventHandlerFuncs{
AddFunc: func(obj interface{}) {
p, ok := obj.(*api.Pod)
Expect(ok).To(Equal(true))
go checkPodRunning(p)
},
UpdateFunc: func(oldObj, newObj interface{}) {
p, ok := newObj.(*api.Pod)
Expect(ok).To(Equal(true))
go checkPodRunning(p)
},
},
)
return controller
}
func verifyLatency(batchLag time.Duration, e2eLags []framework.PodLatencyData, testArg DensityTest) {
framework.PrintLatencies(e2eLags, "worst client e2e total latencies")
// Zhou: do not trust `kubelet' metrics since they are not reset!
latencyMetrics, _ := getPodStartLatency(kubeletAddr)
framework.Logf("Kubelet Prometheus metrics (not reset):\n%s", framework.PrettyPrintJSON(latencyMetrics))
// check whether e2e pod startup time is acceptable.
podCreateLatency := framework.PodStartupLatency{Latency: framework.ExtractLatencyMetrics(e2eLags)}
framework.Logf("Pod create latency: %s", framework.PrettyPrintJSON(podCreateLatency))
framework.ExpectNoError(verifyPodStartupLatency(testArg.podStartupLimits, podCreateLatency.Latency))
// check bactch pod creation latency
if testArg.podBatchStartupLimit > 0 {
Expect(batchLag <= testArg.podBatchStartupLimit).To(Equal(true), "Batch creation startup time %v exceed limit %v",
batchLag, testArg.podBatchStartupLimit)
}
// calculate and log throughput
throughputBatch := float64(testArg.podsNr) / batchLag.Minutes()
framework.Logf("Batch creation throughput is %.1f pods/min", throughputBatch)
throughputSequential := 1.0 / e2eLags[len(e2eLags)-1].Latency.Minutes()
framework.Logf("Sequential creation throughput is %.1f pods/min", throughputSequential)
}
func verifyResource(f *framework.Framework, testArg DensityTest, rm *ResourceCollector) {
nodeName := framework.TestContext.NodeName
// verify and log memory
usagePerContainer, err := rm.GetLatest()
Expect(err).NotTo(HaveOccurred())
framework.Logf("%s", formatResourceUsageStats(usagePerContainer))
usagePerNode := make(framework.ResourceUsagePerNode)
usagePerNode[nodeName] = usagePerContainer
memPerfData := framework.ResourceUsageToPerfData(usagePerNode)
framework.PrintPerfData(memPerfData)
verifyMemoryLimits(f.Client, testArg.memLimits, usagePerNode)
// verify and log cpu
cpuSummary := rm.GetCPUSummary()
framework.Logf("%s", formatCPUSummary(cpuSummary))
cpuSummaryPerNode := make(framework.NodesCPUSummary)
cpuSummaryPerNode[nodeName] = cpuSummary
cpuPerfData := framework.CPUUsageToPerfData(cpuSummaryPerNode)
framework.PrintPerfData(cpuPerfData)
verifyCPULimits(testArg.cpuLimits, cpuSummaryPerNode)
}
func createBatchPodSequential(f *framework.Framework, pods []*api.Pod) (time.Duration, []framework.PodLatencyData) {
batchStartTime := unversioned.Now()
e2eLags := make([]framework.PodLatencyData, 0)
for _, pod := range pods {
create := unversioned.Now()
f.PodClient().CreateSync(pod)
e2eLags = append(e2eLags,
framework.PodLatencyData{Name: pod.ObjectMeta.Name, Latency: unversioned.Now().Time.Sub(create.Time)})
}
batchLag := unversioned.Now().Time.Sub(batchStartTime.Time)
sort.Sort(framework.LatencySlice(e2eLags))
return batchLag, e2eLags
}

4
test/e2e_node/e2e_service.go
View File

@ -239,10 +239,6 @@ func (es *e2eService) startKubeletServer() (*killCmd, error) {
} }
} else { } else {
cmdArgs = append(cmdArgs, getKubeletServerBin()) cmdArgs = append(cmdArgs, getKubeletServerBin())
cmdArgs = append(cmdArgs,
"--kubelet-cgroups=/kubelet",
"--runtime-cgroups=/docker-daemon",
)
} }
cmdArgs = append(cmdArgs, cmdArgs = append(cmdArgs,
"--api-servers", "http://127.0.0.1:8080", "--api-servers", "http://127.0.0.1:8080",

512
test/e2e_node/resource_controller.go
View File

@ -1,512 +0,0 @@
/*
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 (
"bytes"
"fmt"
"io/ioutil"
"log"
"os"
"os/exec"
"sort"
"strconv"
"strings"
"sync"
"text/tabwriter"
"time"
cadvisorclient "github.com/google/cadvisor/client/v2"
cadvisorapiv2 "github.com/google/cadvisor/info/v2"
"github.com/opencontainers/runc/libcontainer/cgroups"
"k8s.io/kubernetes/pkg/api"
"k8s.io/kubernetes/pkg/kubelet/api/v1alpha1/stats"
"k8s.io/kubernetes/pkg/labels"
"k8s.io/kubernetes/pkg/util/runtime"
"k8s.io/kubernetes/pkg/util/uuid"
"k8s.io/kubernetes/pkg/util/wait"
"k8s.io/kubernetes/test/e2e/framework"
. "github.com/onsi/gomega"
)
const (
// resource monitoring
cadvisorImageName = "google/cadvisor:latest"
cadvisorPodName = "cadvisor"
cadvisorPort = 8090
// housekeeping interval of Cadvisor (second)
houseKeepingInterval = 1
)
var (
systemContainers map[string]string
)
type ResourceCollector struct {
client *cadvisorclient.Client
request *cadvisorapiv2.RequestOptions
pollingInterval time.Duration
buffers map[string][]*framework.ContainerResourceUsage
lock sync.RWMutex
stopCh chan struct{}
}
func NewResourceCollector(interval time.Duration) *ResourceCollector {
buffers := make(map[string][]*framework.ContainerResourceUsage)
return &ResourceCollector{
pollingInterval: interval,
buffers: buffers,
}
}
func (r *ResourceCollector) Start() {
// Get the cgroup containers for kubelet and docker
kubeletContainer, err := getContainerNameForProcess(kubeletProcessName, "")
dockerContainer, err := getContainerNameForProcess(dockerProcessName, dockerPidFile)
if err == nil {
systemContainers = map[string]string{
stats.SystemContainerKubelet: kubeletContainer,
stats.SystemContainerRuntime: dockerContainer,
}
} else {
framework.Failf("Failed to get docker container name in test-e2e-node resource collector.")
}
wait.Poll(1*time.Second, 1*time.Minute, func() (bool, error) {
var err error
r.client, err = cadvisorclient.NewClient(fmt.Sprintf("http://localhost:%d/", cadvisorPort))
if err == nil {
return true, nil
}
return false, err
})
Expect(r.client).NotTo(BeNil(), "cadvisor client not ready")
r.request = &cadvisorapiv2.RequestOptions{IdType: "name", Count: 1, Recursive: false}
r.stopCh = make(chan struct{})
oldStatsMap := make(map[string]*cadvisorapiv2.ContainerStats)
go wait.Until(func() { r.collectStats(oldStatsMap) }, r.pollingInterval, r.stopCh)
}
func (r *ResourceCollector) Stop() {
close(r.stopCh)
}
func (r *ResourceCollector) Reset() {
r.lock.Lock()
defer r.lock.Unlock()
for _, name := range systemContainers {
r.buffers[name] = []*framework.ContainerResourceUsage{}
}
}
func (r *ResourceCollector) GetCPUSummary() framework.ContainersCPUSummary {
result := make(framework.ContainersCPUSummary)
for key, name := range systemContainers {
data := r.GetBasicCPUStats(name)
result[key] = data
}
return result
}
func (r *ResourceCollector) LogLatest() {
summary, err := r.GetLatest()
if err != nil {
framework.Logf("%v", err)
}
framework.Logf("%s", formatResourceUsageStats(summary))
}
func (r *ResourceCollector) collectStats(oldStatsMap map[string]*cadvisorapiv2.ContainerStats) {
for _, name := range systemContainers {
ret, err := r.client.Stats(name, r.request)
if err != nil {
framework.Logf("Error getting container stats, err: %v", err)
return
}
cStats, ok := ret[name]
if !ok {
framework.Logf("Missing info/stats for container %q", name)
return
}
newStats := cStats.Stats[0]
if oldStats, ok := oldStatsMap[name]; ok && oldStats.Timestamp.Before(newStats.Timestamp) {
if oldStats.Timestamp.Equal(newStats.Timestamp) {
continue
}
r.buffers[name] = append(r.buffers[name], computeContainerResourceUsage(name, oldStats, newStats))
}
oldStatsMap[name] = newStats
}
}
func computeContainerResourceUsage(name string, oldStats, newStats *cadvisorapiv2.ContainerStats) *framework.ContainerResourceUsage {
return &framework.ContainerResourceUsage{
Name: name,
Timestamp: newStats.Timestamp,
CPUUsageInCores: float64(newStats.Cpu.Usage.Total-oldStats.Cpu.Usage.Total) / float64(newStats.Timestamp.Sub(oldStats.Timestamp).Nanoseconds()),
MemoryUsageInBytes: newStats.Memory.Usage,
MemoryWorkingSetInBytes: newStats.Memory.WorkingSet,
MemoryRSSInBytes: newStats.Memory.RSS,
CPUInterval: newStats.Timestamp.Sub(oldStats.Timestamp),
}
}
func (r *ResourceCollector) GetLatest() (framework.ResourceUsagePerContainer, error) {
r.lock.RLock()
defer r.lock.RUnlock()
stats := make(framework.ResourceUsagePerContainer)
for key, name := range systemContainers {
contStats, ok := r.buffers[name]
if !ok || len(contStats) == 0 {
return nil, fmt.Errorf("Resource usage of %s:%s is not ready yet", key, name)
}
stats[key] = contStats[len(contStats)-1]
}
return stats, nil
}
type resourceUsageByCPU []*framework.ContainerResourceUsage
func (r resourceUsageByCPU) Len() int { return len(r) }
func (r resourceUsageByCPU) Swap(i, j int) { r[i], r[j] = r[j], r[i] }
func (r resourceUsageByCPU) Less(i, j int) bool { return r[i].CPUUsageInCores < r[j].CPUUsageInCores }
// The percentiles to report.
var percentiles = [...]float64{0.05, 0.20, 0.50, 0.70, 0.90, 0.95, 0.99}
// GetBasicCPUStats returns the percentiles the cpu usage in cores for
// containerName. This method examines all data currently in the buffer.
func (r *ResourceCollector) GetBasicCPUStats(containerName string) map[float64]float64 {
r.lock.RLock()
defer r.lock.RUnlock()
result := make(map[float64]float64, len(percentiles))
usages := r.buffers[containerName]
sort.Sort(resourceUsageByCPU(usages))
for _, q := range percentiles {
index := int(float64(len(usages))*q) - 1
if index < 0 {
// We don't have enough data.
result[q] = 0
continue
}
result[q] = usages[index].CPUUsageInCores
}
return result
}
func formatResourceUsageStats(containerStats framework.ResourceUsagePerContainer) string {
// Example output:
//
// Resource usage for node "e2e-test-foo-minion-abcde":
// container cpu(cores) memory(MB)
// "/" 0.363 2942.09
// "/docker-daemon" 0.088 521.80
// "/kubelet" 0.086 424.37
// "/system" 0.007 119.88
buf := &bytes.Buffer{}
w := tabwriter.NewWriter(buf, 1, 0, 1, ' ', 0)
fmt.Fprintf(w, "container\tcpu(cores)\tmemory_working_set(MB)\tmemory_rss(MB)\n")
for name, s := range containerStats {
fmt.Fprintf(w, "%q\t%.3f\t%.2f\t%.2f\n", name, s.CPUUsageInCores, float64(s.MemoryWorkingSetInBytes)/(1024*1024), float64(s.MemoryRSSInBytes)/(1024*1024))
}
w.Flush()
return fmt.Sprintf("Resource usage:\n%s", buf.String())
}
func formatCPUSummary(summary framework.ContainersCPUSummary) string {
// Example output for a node (the percentiles may differ):
// CPU usage of containers on node "e2e-test-foo-minion-0vj7":
// container 5th% 50th% 90th% 95th%
// "/" 0.051 0.159 0.387 0.455
// "/runtime 0.000 0.000 0.146 0.166
// "/kubelet" 0.036 0.053 0.091 0.154
// "/misc" 0.001 0.001 0.001 0.002
var summaryStrings []string
var header []string
header = append(header, "container")
for _, p := range percentiles {
header = append(header, fmt.Sprintf("%.0fth%%", p*100))
}
buf := &bytes.Buffer{}
w := tabwriter.NewWriter(buf, 1, 0, 1, ' ', 0)
fmt.Fprintf(w, "%s\n", strings.Join(header, "\t"))
for _, containerName := range framework.TargetContainers() {
var s []string
s = append(s, fmt.Sprintf("%q", containerName))
data, ok := summary[containerName]
for _, p := range percentiles {
value := "N/A"
if ok {
value = fmt.Sprintf("%.3f", data[p])
}
s = append(s, value)
}
fmt.Fprintf(w, "%s\n", strings.Join(s, "\t"))
}
w.Flush()
summaryStrings = append(summaryStrings, fmt.Sprintf("CPU usage of containers:\n%s", buf.String()))
return strings.Join(summaryStrings, "\n")
}
func createCadvisorPod(f *framework.Framework) {
f.PodClient().CreateSync(&api.Pod{
ObjectMeta: api.ObjectMeta{
Name: cadvisorPodName,
},
Spec: api.PodSpec{
// It uses a host port for the tests to collect data.
// Currently we can not use port mapping in test-e2e-node.
SecurityContext: &api.PodSecurityContext{
HostNetwork: true,
},
Containers: []api.Container{
{
Image: cadvisorImageName,
Name: cadvisorPodName,
Ports: []api.ContainerPort{
{
Name: "http",
HostPort: cadvisorPort,
ContainerPort: cadvisorPort,
Protocol: api.ProtocolTCP,
},
},
VolumeMounts: []api.VolumeMount{
{
Name: "sys",
ReadOnly: true,
MountPath: "/sys",
},
{
Name: "var-run",
ReadOnly: false,
MountPath: "/var/run",
},
{
Name: "docker",
ReadOnly: true,
MountPath: "/var/lib/docker/",
},
{
Name: "rootfs",
ReadOnly: true,
MountPath: "/rootfs",
},
},
Args: []string{
"--profiling",
fmt.Sprintf("--housekeeping_interval=%ds", houseKeepingInterval),
fmt.Sprintf("--port=%d", cadvisorPort),
},
},
},
Volumes: []api.Volume{
{
Name: "rootfs",
VolumeSource: api.VolumeSource{HostPath: &api.HostPathVolumeSource{Path: "/"}},
},
{
Name: "var-run",
VolumeSource: api.VolumeSource{HostPath: &api.HostPathVolumeSource{Path: "/var/run"}},
},
{
Name: "sys",
VolumeSource: api.VolumeSource{HostPath: &api.HostPathVolumeSource{Path: "/sys"}},
},
{
Name: "docker",
VolumeSource: api.VolumeSource{HostPath: &api.HostPathVolumeSource{Path: "/var/lib/docker"}},
},
},
},
})
}
func deleteBatchPod(f *framework.Framework, pods []*api.Pod) {
ns := f.Namespace.Name
var wg sync.WaitGroup
for _, pod := range pods {
wg.Add(1)
go func(pod *api.Pod) {
defer wg.Done()
err := f.Client.Pods(ns).Delete(pod.ObjectMeta.Name, api.NewDeleteOptions(30))
Expect(err).NotTo(HaveOccurred())
Expect(framework.WaitForPodToDisappear(f.Client, ns, pod.ObjectMeta.Name, labels.Everything(),
30*time.Second, 10*time.Minute)).
NotTo(HaveOccurred())
}(pod)
}
wg.Wait()
return
}
func newTestPods(numPods int, imageName, podType string) []*api.Pod {
var pods []*api.Pod
for i := 0; i < numPods; i++ {
podName := "test-" + string(uuid.NewUUID())
labels := map[string]string{
"type": podType,
"name": podName,
}
pods = append(pods,
&api.Pod{
ObjectMeta: api.ObjectMeta{
Name: podName,
Labels: labels,
},
Spec: api.PodSpec{
// ToDo: restart policy is always
// check whether pods restart at the end of tests
Containers: []api.Container{
{
Image: imageName,
Name: podName,
},
},
},
})
}
return pods
}
// code for getting container name of docker
const (
kubeletProcessName = "kubelet"
dockerProcessName = "docker"
dockerPidFile = "/var/run/docker.pid"
containerdProcessName = "docker-containerd"
containerdPidFile = "/run/docker/libcontainerd/docker-containerd.pid"
)
func getContainerNameForProcess(name, pidFile string) (string, error) {
pids, err := getPidsForProcess(name, pidFile)
if err != nil {
return "", fmt.Errorf("failed to detect process id for %q - %v", name, err)
}
if len(pids) == 0 {
return "", nil
}
cont, err := getContainer(pids[0])
if err != nil {
return "", err
}
return cont, nil
}
func getPidFromPidFile(pidFile string) (int, error) {
file, err := os.Open(pidFile)
if err != nil {
return 0, fmt.Errorf("error opening pid file %s: %v", pidFile, err)
}
defer file.Close()
data, err := ioutil.ReadAll(file)
if err != nil {
return 0, fmt.Errorf("error reading pid file %s: %v", pidFile, err)
}
pid, err := strconv.Atoi(string(data))
if err != nil {
return 0, fmt.Errorf("error parsing %s as a number: %v", string(data), err)
}
return pid, nil
}
func getPidsForProcess(name, pidFile string) ([]int, error) {
if len(pidFile) > 0 {
if pid, err := getPidFromPidFile(pidFile); err == nil {
return []int{pid}, nil
} else {
// log the error and fall back to pidof
runtime.HandleError(err)
}
}
out, err := exec.Command("pidof", name).Output()
if err != nil {
return []int{}, fmt.Errorf("failed to find pid of %q: %v", name, err)
}
// The output of pidof is a list of pids.
pids := []int{}
for _, pidStr := range strings.Split(strings.TrimSpace(string(out)), " ") {
pid, err := strconv.Atoi(pidStr)
if err != nil {
continue
}
pids = append(pids, pid)
}
return pids, nil
}
// getContainer returns the cgroup associated with the specified pid.
// It enforces a unified hierarchy for memory and cpu cgroups.
// On systemd environments, it uses the name=systemd cgroup for the specified pid.
func getContainer(pid int) (string, error) {
cgs, err := cgroups.ParseCgroupFile(fmt.Sprintf("/proc/%d/cgroup", pid))
if err != nil {
return "", err
}
cpu, found := cgs["cpu"]
if !found {
return "", cgroups.NewNotFoundError("cpu")
}
memory, found := cgs["memory"]
if !found {
return "", cgroups.NewNotFoundError("memory")
}
// since we use this container for accounting, we need to ensure its a unified hierarchy.
if cpu != memory {
return "", fmt.Errorf("cpu and memory cgroup hierarchy not unified. cpu: %s, memory: %s", cpu, memory)
}
// on systemd, every pid is in a unified cgroup hierarchy (name=systemd as seen in systemd-cgls)
// cpu and memory accounting is off by default, users may choose to enable it per unit or globally.
// users could enable CPU and memory accounting globally via /etc/systemd/system.conf (DefaultCPUAccounting=true DefaultMemoryAccounting=true).
// users could also enable CPU and memory accounting per unit via CPUAccounting=true and MemoryAccounting=true
// we only warn if accounting is not enabled for CPU or memory so as to not break local development flows where kubelet is launched in a terminal.
// for example, the cgroup for the user session will be something like /user.slice/user-X.slice/session-X.scope, but the cpu and memory
// cgroup will be the closest ancestor where accounting is performed (most likely /) on systems that launch docker containers.
// as a result, on those systems, you will not get cpu or memory accounting statistics for kubelet.
// in addition, you would not get memory or cpu accounting for the runtime unless accounting was enabled on its unit (or globally).
if systemd, found := cgs["name=systemd"]; found {
if systemd != cpu {
log.Printf("CPUAccounting not enabled for pid: %d", pid)
}
if systemd != memory {
log.Printf("MemoryAccounting not enabled for pid: %d", pid)
}
return systemd, nil
}
return cpu, nil
}

245
test/e2e_node/resource_usage_test.go
View File

@ -1,245 +0,0 @@
/*
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() {
expectedCPU, expectedMemory := itArg.cpuLimits, itArg.memLimits
// 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)
}
logPodsOnNode(f.Client)
}
rc.Stop()
By("Reporting overall resource usage")
logPodsOnNode(f.Client)
usagePerContainer, err := rc.GetLatest()
Expect(err).NotTo(HaveOccurred())
// TODO(random-liu): Remove the original log when we migrate to new perfdash
nodeName := framework.TestContext.NodeName
framework.Logf("%s", formatResourceUsageStats(usagePerContainer))
// Log perf result
usagePerNode := make(framework.ResourceUsagePerNode)
usagePerNode[nodeName] = usagePerContainer
framework.PrintPerfData(framework.ResourceUsageToPerfData(usagePerNode))
verifyMemoryLimits(f.Client, expectedMemory, usagePerNode)
cpuSummary := rc.GetCPUSummary()
framework.Logf("%s", formatCPUSummary(cpuSummary))
// Log perf result
cpuSummaryPerNode := make(framework.NodesCPUSummary)
cpuSummaryPerNode[nodeName] = cpuSummary
framework.PrintPerfData(framework.CPUUsageToPerfData(cpuSummaryPerNode))
verifyCPULimits(expectedCPU, cpuSummaryPerNode)
})
}
})
})
type resourceTest struct {
podsPerNode int
cpuLimits framework.ContainersCPUSummary
memLimits framework.ResourceUsagePerContainer
}
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 logPodsOnNode(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)
}

69
vendor/github.com/google/cadvisor/client/v2/README.md generated vendored
View File

@ -1,69 +0,0 @@
# Example REST API Client
This is an implementation of a cAdvisor REST API in Go. You can use it like this:
```go
client, err := client.NewClient("http://192.168.59.103:8080/")
```
Obviously, replace the URL with the path to your actual cAdvisor REST endpoint.
### MachineInfo
```go
client.MachineInfo()
```
There is no v2 MachineInfo API, so the v2 client exposes the [v1 MachineInfo](../../info/v1/machine.go#L131)
```
(*v1.MachineInfo)(0xc208022b10)({
NumCores: (int) 4,
MemoryCapacity: (int64) 2106028032,
Filesystems: ([]v1.FsInfo) (len=1 cap=4) {
(v1.FsInfo) {
Device: (string) (len=9) "/dev/sda1",
Capacity: (uint64) 19507089408
}
}
})
```
You can see the full specification of the [MachineInfo struct in the source](../../info/v1/machine.go#L131)
### VersionInfo
```go
client.VersionInfo()
```
This method returns the cAdvisor version.
### Attributes
```go
client.Attributes()
```
This method returns a [cadvisor/info/v2/Attributes](../../info/v2/machine.go#L24) struct with all the fields filled in. Attributes includes hardware attributes (as returned by MachineInfo) as well as software attributes (eg. software versions). Here is an example return value:
```
(*v2.Attributes)({
KernelVersion: (string) (len=17) "3.13.0-44-generic"
ContainerOsVersion: (string) (len=18) "Ubuntu 14.04.1 LTS"
DockerVersion: (string) (len=9) "1.5.0-rc4"
CadvisorVersion: (string) (len=6) "0.10.1"
NumCores: (int) 4,
MemoryCapacity: (int64) 2106028032,
Filesystems: ([]v2.FsInfo) (len=1 cap=4) {
(v2.FsInfo) {
Device: (string) (len=9) "/dev/sda1",
Capacity: (uint64) 19507089408
}
}
})
```
You can see the full specification of the [Attributes struct in the source](../../info/v2/machine.go#L24)

176
vendor/github.com/google/cadvisor/client/v2/client.go generated vendored
View File

@ -1,176 +0,0 @@
// Copyright 2015 Google Inc. All Rights Reserved.
//
// 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.
// Client library to programmatically access cAdvisor API.
package v2
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
"net/url"
"path"
"strconv"
"strings"
v1 "github.com/google/cadvisor/info/v1"
"github.com/google/cadvisor/info/v2"
)
// Client represents the base URL for a cAdvisor client.
type Client struct {
baseUrl string
}
// NewClient returns a new client with the specified base URL.
func NewClient(url string) (*Client, error) {
if !strings.HasSuffix(url, "/") {
url += "/"
}
return &Client{
baseUrl: fmt.Sprintf("%sapi/v2.1/", url),
}, nil
}
// MachineInfo returns the JSON machine information for this client.
// A non-nil error result indicates a problem with obtaining
// the JSON machine information data.
func (self *Client) MachineInfo() (minfo *v1.MachineInfo, err error) {
u := self.machineInfoUrl()
ret := new(v1.MachineInfo)
if err = self.httpGetJsonData(ret, nil, u, "machine info"); err != nil {
return
}
minfo = ret
return
}
// MachineStats returns the JSON machine statistics for this client.
// A non-nil error result indicates a problem with obtaining
// the JSON machine information data.
func (self *Client) MachineStats() ([]v2.MachineStats, error) {
var ret []v2.MachineStats
u := self.machineStatsUrl()
err := self.httpGetJsonData(&ret, nil, u, "machine stats")
return ret, err
}
// VersionInfo returns the version info for cAdvisor.
func (self *Client) VersionInfo() (version string, err error) {
u := self.versionInfoUrl()
version, err = self.httpGetString(u, "version info")
return
}
// Attributes returns hardware and software attributes of the machine.
func (self *Client) Attributes() (attr *v2.Attributes, err error) {
u := self.attributesUrl()
ret := new(v2.Attributes)
if err = self.httpGetJsonData(ret, nil, u, "attributes"); err != nil {
return
}
attr = ret
return
}
// Stats returns stats for the requested container.
func (self *Client) Stats(name string, request *v2.RequestOptions) (map[string]v2.ContainerInfo, error) {
u := self.statsUrl(name)
ret := make(map[string]v2.ContainerInfo)
data := url.Values{
"type": []string{request.IdType},
"count": []string{strconv.Itoa(request.Count)},
"recursive": []string{strconv.FormatBool(request.Recursive)},
}
u = fmt.Sprintf("%s?%s", u, data.Encode())
if err := self.httpGetJsonData(&ret, nil, u, "stats"); err != nil {
return nil, err
}
return ret, nil
}
func (self *Client) machineInfoUrl() string {
return self.baseUrl + path.Join("machine")
}
func (self *Client) machineStatsUrl() string {
return self.baseUrl + path.Join("machinestats")
}
func (self *Client) versionInfoUrl() string {
return self.baseUrl + path.Join("version")
}
func (self *Client) attributesUrl() string {
return self.baseUrl + path.Join("attributes")
}
func (self *Client) statsUrl(name string) string {
return self.baseUrl + path.Join("stats", name)
}
func (self *Client) httpGetResponse(postData interface{}, urlPath, infoName string) ([]byte, error) {
var resp *http.Response
var err error
if postData != nil {
data, marshalErr := json.Marshal(postData)
if marshalErr != nil {
return nil, fmt.Errorf("unable to marshal data: %v", marshalErr)
}
resp, err = http.Post(urlPath, "application/json", bytes.NewBuffer(data))
} else {
resp, err = http.Get(urlPath)
}
if err != nil {
return nil, fmt.Errorf("unable to post %q to %q: %v", infoName, urlPath, err)
}
if resp == nil {
return nil, fmt.Errorf("received empty response for %q from %q", infoName, urlPath)
}
defer resp.Body.Close()
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
err = fmt.Errorf("unable to read all %q from %q: %v", infoName, urlPath, err)
return nil, err
}
if resp.StatusCode != 200 {
return nil, fmt.Errorf("request %q failed with error: %q", urlPath, strings.TrimSpace(string(body)))
}
return body, nil
}
func (self *Client) httpGetString(url, infoName string) (string, error) {
body, err := self.httpGetResponse(nil, url, infoName)
if err != nil {
return "", err
}
return string(body), nil
}
func (self *Client) httpGetJsonData(data, postData interface{}, url, infoName string) error {
body, err := self.httpGetResponse(postData, url, infoName)
if err != nil {
return err
}
if err = json.Unmarshal(body, data); err != nil {
err = fmt.Errorf("unable to unmarshal %q (Body: %q) from %q with error: %v", infoName, string(body), url, err)
return err
}
return nil
}