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cluster_size_autoscaling.go
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cluster_size_autoscaling.go
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/*
Copyright 2016 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 autoscaling
import (
"bytes"
"fmt"
"io/ioutil"
"math"
"net/http"
"os/exec"
"regexp"
"strconv"
"strings"
"time"
"k8s.io/api/core/v1"
policy "k8s.io/api/policy/v1beta1"
schedulerapi "k8s.io/api/scheduling/v1beta1"
"k8s.io/apimachinery/pkg/api/errors"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/fields"
"k8s.io/apimachinery/pkg/labels"
utilerrors "k8s.io/apimachinery/pkg/util/errors"
"k8s.io/apimachinery/pkg/util/intstr"
"k8s.io/apimachinery/pkg/util/sets"
"k8s.io/apimachinery/pkg/util/uuid"
"k8s.io/apimachinery/pkg/util/wait"
clientset "k8s.io/client-go/kubernetes"
api "k8s.io/kubernetes/pkg/apis/core"
"k8s.io/kubernetes/test/e2e/framework"
"k8s.io/kubernetes/test/e2e/scheduling"
testutils "k8s.io/kubernetes/test/utils"
imageutils "k8s.io/kubernetes/test/utils/image"
"github.com/golang/glog"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
const (
defaultTimeout = 3 * time.Minute
resizeTimeout = 5 * time.Minute
manualResizeTimeout = 6 * time.Minute
scaleUpTimeout = 5 * time.Minute
scaleUpTriggerTimeout = 2 * time.Minute
scaleDownTimeout = 20 * time.Minute
podTimeout = 2 * time.Minute
nodesRecoverTimeout = 5 * time.Minute
rcCreationRetryTimeout = 4 * time.Minute
rcCreationRetryDelay = 20 * time.Second
makeSchedulableTimeout = 10 * time.Minute
makeSchedulableDelay = 20 * time.Second
freshStatusLimit = 20 * time.Second
gkeEndpoint = "https://test-container.sandbox.googleapis.com"
gkeUpdateTimeout = 15 * time.Minute
gkeNodepoolNameKey = "cloud.google.com/gke-nodepool"
disabledTaint = "DisabledForAutoscalingTest"
criticalAddonsOnlyTaint = "CriticalAddonsOnly"
newNodesForScaledownTests = 2
unhealthyClusterThreshold = 4
caNoScaleUpStatus = "NoActivity"
caOngoingScaleUpStatus = "InProgress"
timestampFormat = "2006-01-02 15:04:05 -0700 MST"
expendablePriorityClassName = "expendable-priority"
highPriorityClassName = "high-priority"
)
var _ = SIGDescribe("Cluster size autoscaling [Slow]", func() {
f := framework.NewDefaultFramework("autoscaling")
var c clientset.Interface
var nodeCount int
var coreCount int64
var memAllocatableMb int
var originalSizes map[string]int
BeforeEach(func() {
c = f.ClientSet
framework.SkipUnlessProviderIs("gce", "gke")
originalSizes = make(map[string]int)
sum := 0
for _, mig := range strings.Split(framework.TestContext.CloudConfig.NodeInstanceGroup, ",") {
size, err := framework.GroupSize(mig)
framework.ExpectNoError(err)
By(fmt.Sprintf("Initial size of %s: %d", mig, size))
originalSizes[mig] = size
sum += size
}
// Give instances time to spin up
framework.ExpectNoError(framework.WaitForReadyNodes(c, sum, scaleUpTimeout))
nodes := framework.GetReadySchedulableNodesOrDie(f.ClientSet)
nodeCount = len(nodes.Items)
coreCount = 0
for _, node := range nodes.Items {
quentity := node.Status.Capacity[v1.ResourceCPU]
coreCount += quentity.Value()
}
By(fmt.Sprintf("Initial number of schedulable nodes: %v", nodeCount))
Expect(nodeCount).NotTo(BeZero())
mem := nodes.Items[0].Status.Allocatable[v1.ResourceMemory]
memAllocatableMb = int((&mem).Value() / 1024 / 1024)
Expect(nodeCount).Should(Equal(sum))
if framework.ProviderIs("gke") {
val, err := isAutoscalerEnabled(5)
framework.ExpectNoError(err)
if !val {
err = enableAutoscaler("default-pool", 3, 5)
framework.ExpectNoError(err)
}
}
})
AfterEach(func() {
By(fmt.Sprintf("Restoring initial size of the cluster"))
setMigSizes(originalSizes)
expectedNodes := 0
for _, size := range originalSizes {
expectedNodes += size
}
framework.ExpectNoError(framework.WaitForReadyNodes(c, expectedNodes, scaleDownTimeout))
nodes, err := c.CoreV1().Nodes().List(metav1.ListOptions{})
framework.ExpectNoError(err)
s := time.Now()
makeSchedulableLoop:
for start := time.Now(); time.Since(start) < makeSchedulableTimeout; time.Sleep(makeSchedulableDelay) {
for _, n := range nodes.Items {
err = makeNodeSchedulable(c, &n, true)
switch err.(type) {
case CriticalAddonsOnlyError:
continue makeSchedulableLoop
default:
framework.ExpectNoError(err)
}
}
break
}
glog.Infof("Made nodes schedulable again in %v", time.Since(s).String())
})
It("shouldn't increase cluster size if pending pod is too large [Feature:ClusterSizeAutoscalingScaleUp]", func() {
By("Creating unschedulable pod")
ReserveMemory(f, "memory-reservation", 1, int(1.1*float64(memAllocatableMb)), false, defaultTimeout)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
By("Waiting for scale up hoping it won't happen")
// Verify that the appropriate event was generated
eventFound := false
EventsLoop:
for start := time.Now(); time.Since(start) < scaleUpTimeout; time.Sleep(20 * time.Second) {
By("Waiting for NotTriggerScaleUp event")
events, err := f.ClientSet.CoreV1().Events(f.Namespace.Name).List(metav1.ListOptions{})
framework.ExpectNoError(err)
for _, e := range events.Items {
if e.InvolvedObject.Kind == "Pod" && e.Reason == "NotTriggerScaleUp" && strings.Contains(e.Message, "it wouldn't fit if a new node is added") {
By("NotTriggerScaleUp event found")
eventFound = true
break EventsLoop
}
}
}
Expect(eventFound).Should(Equal(true))
// Verify that cluster size is not changed
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size <= nodeCount }, time.Second))
})
simpleScaleUpTest := func(unready int) {
ReserveMemory(f, "memory-reservation", 100, nodeCount*memAllocatableMb, false, 1*time.Second)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
// Verify that cluster size is increased
framework.ExpectNoError(WaitForClusterSizeFuncWithUnready(f.ClientSet,
func(size int) bool { return size >= nodeCount+1 }, scaleUpTimeout, unready))
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
}
It("should increase cluster size if pending pods are small [Feature:ClusterSizeAutoscalingScaleUp]",
func() { simpleScaleUpTest(0) })
supportedGpuTypes := []string{"nvidia-tesla-k80", "nvidia-tesla-v100", "nvidia-tesla-p100"}
for _, gpuType := range supportedGpuTypes {
gpuType := gpuType // create new variable for each iteration step
It(fmt.Sprintf("Should scale up GPU pool from 0 [GpuType:%s] [Feature:ClusterSizeAutoscalingGpu]", gpuType), func() {
framework.SkipUnlessProviderIs("gke")
const gpuPoolName = "gpu-pool"
addGpuNodePool(gpuPoolName, gpuType, 1, 0)
defer deleteNodePool(gpuPoolName)
installNvidiaDriversDaemonSet()
By("Enable autoscaler")
framework.ExpectNoError(enableAutoscaler(gpuPoolName, 0, 1))
defer disableAutoscaler(gpuPoolName, 0, 1)
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(0))
By("Schedule a pod which requires GPU")
framework.ExpectNoError(scheduleGpuPod(f, "gpu-pod-rc"))
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == nodeCount+1 }, scaleUpTimeout))
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(1))
})
It(fmt.Sprintf("Should scale up GPU pool from 1 [GpuType:%s] [Feature:ClusterSizeAutoscalingGpu]", gpuType), func() {
framework.SkipUnlessProviderIs("gke")
const gpuPoolName = "gpu-pool"
addGpuNodePool(gpuPoolName, gpuType, 1, 1)
defer deleteNodePool(gpuPoolName)
installNvidiaDriversDaemonSet()
By("Schedule a single pod which requires GPU")
framework.ExpectNoError(scheduleGpuPod(f, "gpu-pod-rc"))
By("Enable autoscaler")
framework.ExpectNoError(enableAutoscaler(gpuPoolName, 0, 2))
defer disableAutoscaler(gpuPoolName, 0, 2)
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(1))
By("Scale GPU deployment")
framework.ScaleRC(f.ClientSet, f.ScalesGetter, f.Namespace.Name, "gpu-pod-rc", 2, true)
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == nodeCount+2 }, scaleUpTimeout))
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(2))
})
It(fmt.Sprintf("Should not scale GPU pool up if pod does not require GPUs [GpuType:%s] [Feature:ClusterSizeAutoscalingGpu]", gpuType), func() {
framework.SkipUnlessProviderIs("gke")
const gpuPoolName = "gpu-pool"
addGpuNodePool(gpuPoolName, gpuType, 1, 0)
defer deleteNodePool(gpuPoolName)
installNvidiaDriversDaemonSet()
By("Enable autoscaler")
framework.ExpectNoError(enableAutoscaler(gpuPoolName, 0, 1))
defer disableAutoscaler(gpuPoolName, 0, 1)
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(0))
By("Schedule bunch of pods beyond point of filling default pool but do not request any GPUs")
ReserveMemory(f, "memory-reservation", 100, nodeCount*memAllocatableMb, false, 1*time.Second)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
// Verify that cluster size is increased
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size >= nodeCount+1 }, scaleUpTimeout))
// Expect gpu pool to stay intact
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(0))
})
It(fmt.Sprintf("Should scale down GPU pool from 1 [GpuType:%s] [Feature:ClusterSizeAutoscalingGpu]", gpuType), func() {
framework.SkipUnlessProviderIs("gke")
const gpuPoolName = "gpu-pool"
addGpuNodePool(gpuPoolName, gpuType, 1, 1)
defer deleteNodePool(gpuPoolName)
installNvidiaDriversDaemonSet()
By("Schedule a single pod which requires GPU")
framework.ExpectNoError(scheduleGpuPod(f, "gpu-pod-rc"))
By("Enable autoscaler")
framework.ExpectNoError(enableAutoscaler(gpuPoolName, 0, 1))
defer disableAutoscaler(gpuPoolName, 0, 1)
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(1))
By("Remove the only POD requiring GPU")
framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "gpu-pod-rc")
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == nodeCount }, scaleDownTimeout))
Expect(len(getPoolNodes(f, gpuPoolName))).Should(Equal(0))
})
}
It("should increase cluster size if pending pods are small and one node is broken [Feature:ClusterSizeAutoscalingScaleUp]",
func() {
framework.TestUnderTemporaryNetworkFailure(c, "default", getAnyNode(c), func() { simpleScaleUpTest(1) })
})
It("shouldn't trigger additional scale-ups during processing scale-up [Feature:ClusterSizeAutoscalingScaleUp]", func() {
// Wait for the situation to stabilize - CA should be running and have up-to-date node readiness info.
status, err := waitForScaleUpStatus(c, func(s *scaleUpStatus) bool {
return s.ready == s.target && s.ready <= nodeCount
}, scaleUpTriggerTimeout)
framework.ExpectNoError(err)
unmanagedNodes := nodeCount - status.ready
By("Schedule more pods than can fit and wait for cluster to scale-up")
ReserveMemory(f, "memory-reservation", 100, nodeCount*memAllocatableMb, false, 1*time.Second)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
status, err = waitForScaleUpStatus(c, func(s *scaleUpStatus) bool {
return s.status == caOngoingScaleUpStatus
}, scaleUpTriggerTimeout)
framework.ExpectNoError(err)
target := status.target
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
By("Expect no more scale-up to be happening after all pods are scheduled")
status, err = getScaleUpStatus(c)
framework.ExpectNoError(err)
if status.target != target {
glog.Warningf("Final number of nodes (%v) does not match initial scale-up target (%v).", status.target, target)
}
Expect(status.timestamp.Add(freshStatusLimit).Before(time.Now())).Should(Equal(false))
Expect(status.status).Should(Equal(caNoScaleUpStatus))
Expect(status.ready).Should(Equal(status.target))
Expect(len(framework.GetReadySchedulableNodesOrDie(f.ClientSet).Items)).Should(Equal(status.target + unmanagedNodes))
})
It("should increase cluster size if pending pods are small and there is another node pool that is not autoscaled [Feature:ClusterSizeAutoscalingScaleUp]", func() {
framework.SkipUnlessProviderIs("gke")
By("Creating new node-pool with n1-standard-4 machines")
const extraPoolName = "extra-pool"
addNodePool(extraPoolName, "n1-standard-4", 1)
defer deleteNodePool(extraPoolName)
extraNodes := getPoolInitialSize(extraPoolName)
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+extraNodes, resizeTimeout))
glog.Infof("Not enabling cluster autoscaler for the node pool (on purpose).")
By("Getting memory available on new nodes, so we can account for it when creating RC")
nodes := getPoolNodes(f, extraPoolName)
Expect(len(nodes)).Should(Equal(extraNodes))
extraMemMb := 0
for _, node := range nodes {
mem := node.Status.Capacity[v1.ResourceMemory]
extraMemMb += int((&mem).Value() / 1024 / 1024)
}
By("Reserving 0.1x more memory than the cluster holds to trigger scale up")
totalMemoryReservation := int(1.1 * float64(nodeCount*memAllocatableMb+extraMemMb))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
ReserveMemory(f, "memory-reservation", 100, totalMemoryReservation, false, defaultTimeout)
// Verify, that cluster size is increased
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size >= nodeCount+extraNodes+1 }, scaleUpTimeout))
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
})
It("should disable node pool autoscaling [Feature:ClusterSizeAutoscalingScaleUp]", func() {
framework.SkipUnlessProviderIs("gke")
By("Creating new node-pool with n1-standard-4 machines")
const extraPoolName = "extra-pool"
addNodePool(extraPoolName, "n1-standard-4", 1)
defer deleteNodePool(extraPoolName)
extraNodes := getPoolInitialSize(extraPoolName)
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+extraNodes, resizeTimeout))
framework.ExpectNoError(enableAutoscaler(extraPoolName, 1, 2))
framework.ExpectNoError(disableAutoscaler(extraPoolName, 1, 2))
})
It("should increase cluster size if pods are pending due to host port conflict [Feature:ClusterSizeAutoscalingScaleUp]", func() {
scheduling.CreateHostPortPods(f, "host-port", nodeCount+2, false)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "host-port")
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size >= nodeCount+2 }, scaleUpTimeout))
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
})
It("should increase cluster size if pods are pending due to pod anti-affinity [Feature:ClusterSizeAutoscalingScaleUp]", func() {
pods := nodeCount
newPods := 2
labels := map[string]string{
"anti-affinity": "yes",
}
By("starting a pod with anti-affinity on each node")
framework.ExpectNoError(runAntiAffinityPods(f, f.Namespace.Name, pods, "some-pod", labels, labels))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "some-pod")
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
By("scheduling extra pods with anti-affinity to existing ones")
framework.ExpectNoError(runAntiAffinityPods(f, f.Namespace.Name, newPods, "extra-pod", labels, labels))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "extra-pod")
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+newPods, scaleUpTimeout))
})
It("should increase cluster size if pod requesting EmptyDir volume is pending [Feature:ClusterSizeAutoscalingScaleUp]", func() {
By("creating pods")
pods := nodeCount
newPods := 1
labels := map[string]string{
"anti-affinity": "yes",
}
framework.ExpectNoError(runAntiAffinityPods(f, f.Namespace.Name, pods, "some-pod", labels, labels))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "some-pod")
By("waiting for all pods before triggering scale up")
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
By("creating a pod requesting EmptyDir")
framework.ExpectNoError(runVolumeAntiAffinityPods(f, f.Namespace.Name, newPods, "extra-pod", labels, labels, emptyDirVolumes))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "extra-pod")
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+newPods, scaleUpTimeout))
})
It("should increase cluster size if pod requesting volume is pending [Feature:ClusterSizeAutoscalingScaleUp]", func() {
framework.SkipUnlessProviderIs("gce", "gke")
volumeLabels := labels.Set{
framework.VolumeSelectorKey: f.Namespace.Name,
}
selector := metav1.SetAsLabelSelector(volumeLabels)
By("creating volume & pvc")
diskName, err := framework.CreatePDWithRetry()
framework.ExpectNoError(err)
pvConfig := framework.PersistentVolumeConfig{
NamePrefix: "gce-",
Labels: volumeLabels,
PVSource: v1.PersistentVolumeSource{
GCEPersistentDisk: &v1.GCEPersistentDiskVolumeSource{
PDName: diskName,
FSType: "ext3",
ReadOnly: false,
},
},
Prebind: nil,
}
emptyStorageClass := ""
pvcConfig := framework.PersistentVolumeClaimConfig{
Selector: selector,
StorageClassName: &emptyStorageClass,
}
pv, pvc, err := framework.CreatePVPVC(c, pvConfig, pvcConfig, f.Namespace.Name, false)
framework.ExpectNoError(err)
framework.ExpectNoError(framework.WaitOnPVandPVC(c, f.Namespace.Name, pv, pvc))
defer func() {
errs := framework.PVPVCCleanup(c, f.Namespace.Name, pv, pvc)
if len(errs) > 0 {
framework.Failf("failed to delete PVC and/or PV. Errors: %v", utilerrors.NewAggregate(errs))
}
pv, pvc = nil, nil
if diskName != "" {
framework.ExpectNoError(framework.DeletePDWithRetry(diskName))
}
}()
By("creating pods")
pods := nodeCount
labels := map[string]string{
"anti-affinity": "yes",
}
framework.ExpectNoError(runAntiAffinityPods(f, f.Namespace.Name, pods, "some-pod", labels, labels))
defer func() {
framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "some-pod")
glog.Infof("RC and pods not using volume deleted")
}()
By("waiting for all pods before triggering scale up")
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
By("creating a pod requesting PVC")
pvcPodName := "pvc-pod"
newPods := 1
volumes := buildVolumes(pv, pvc)
framework.ExpectNoError(runVolumeAntiAffinityPods(f, f.Namespace.Name, newPods, pvcPodName, labels, labels, volumes))
defer func() {
framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, pvcPodName)
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
}()
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+newPods, scaleUpTimeout))
})
It("should add node to the particular mig [Feature:ClusterSizeAutoscalingScaleUp]", func() {
labelKey := "cluster-autoscaling-test.special-node"
labelValue := "true"
By("Finding the smallest MIG")
minMig := ""
minSize := nodeCount
for mig, size := range originalSizes {
if size <= minSize {
minMig = mig
minSize = size
}
}
if minSize == 0 {
newSizes := make(map[string]int)
for mig, size := range originalSizes {
newSizes[mig] = size
}
newSizes[minMig] = 1
setMigSizes(newSizes)
}
removeLabels := func(nodesToClean sets.String) {
By("Removing labels from nodes")
for node := range nodesToClean {
framework.RemoveLabelOffNode(c, node, labelKey)
}
}
nodes, err := framework.GetGroupNodes(minMig)
framework.ExpectNoError(err)
nodesSet := sets.NewString(nodes...)
defer removeLabels(nodesSet)
By(fmt.Sprintf("Annotating nodes of the smallest MIG(%s): %v", minMig, nodes))
for node := range nodesSet {
framework.AddOrUpdateLabelOnNode(c, node, labelKey, labelValue)
}
scheduling.CreateNodeSelectorPods(f, "node-selector", minSize+1, map[string]string{labelKey: labelValue}, false)
By("Waiting for new node to appear and annotating it")
framework.WaitForGroupSize(minMig, int32(minSize+1))
// Verify that cluster size is increased
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size >= nodeCount+1 }, scaleUpTimeout))
newNodes, err := framework.GetGroupNodes(minMig)
framework.ExpectNoError(err)
newNodesSet := sets.NewString(newNodes...)
newNodesSet.Delete(nodes...)
if len(newNodesSet) > 1 {
By(fmt.Sprintf("Spotted following new nodes in %s: %v", minMig, newNodesSet))
glog.Infof("Usually only 1 new node is expected, investigating")
glog.Infof("Kubectl:%s\n", framework.RunKubectlOrDie("get", "nodes", "-o", "json"))
if output, err := exec.Command("gcloud", "compute", "instances", "list",
"--project="+framework.TestContext.CloudConfig.ProjectID,
"--zone="+framework.TestContext.CloudConfig.Zone).Output(); err == nil {
glog.Infof("Gcloud compute instances list: %s", output)
} else {
glog.Errorf("Failed to get instances list: %v", err)
}
for newNode := range newNodesSet {
if output, err := execCmd("gcloud", "compute", "instances", "describe",
newNode,
"--project="+framework.TestContext.CloudConfig.ProjectID,
"--zone="+framework.TestContext.CloudConfig.Zone).Output(); err == nil {
glog.Infof("Gcloud compute instances describe: %s", output)
} else {
glog.Errorf("Failed to get instances describe: %v", err)
}
}
// TODO: possibly remove broken node from newNodesSet to prevent removeLabel from crashing.
// However at this moment we DO WANT it to crash so that we don't check all test runs for the
// rare behavior, but only the broken ones.
}
By(fmt.Sprintf("New nodes: %v\n", newNodesSet))
registeredNodes := sets.NewString()
for nodeName := range newNodesSet {
node, err := f.ClientSet.CoreV1().Nodes().Get(nodeName, metav1.GetOptions{})
if err == nil && node != nil {
registeredNodes.Insert(nodeName)
} else {
glog.Errorf("Failed to get node %v: %v", nodeName, err)
}
}
By(fmt.Sprintf("Setting labels for registered new nodes: %v", registeredNodes.List()))
for node := range registeredNodes {
framework.AddOrUpdateLabelOnNode(c, node, labelKey, labelValue)
}
defer removeLabels(registeredNodes)
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
framework.ExpectNoError(framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "node-selector"))
})
It("should scale up correct target pool [Feature:ClusterSizeAutoscalingScaleUp]", func() {
framework.SkipUnlessProviderIs("gke")
By("Creating new node-pool with n1-standard-4 machines")
const extraPoolName = "extra-pool"
addNodePool(extraPoolName, "n1-standard-4", 1)
defer deleteNodePool(extraPoolName)
extraNodes := getPoolInitialSize(extraPoolName)
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+extraNodes, resizeTimeout))
framework.ExpectNoError(enableAutoscaler(extraPoolName, 1, 2))
defer disableAutoscaler(extraPoolName, 1, 2)
extraPods := extraNodes + 1
totalMemoryReservation := int(float64(extraPods) * 1.5 * float64(memAllocatableMb))
By(fmt.Sprintf("Creating rc with %v pods too big to fit default-pool but fitting extra-pool", extraPods))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
ReserveMemory(f, "memory-reservation", extraPods, totalMemoryReservation, false, defaultTimeout)
// Apparently GKE master is restarted couple minutes after the node pool is added
// reseting all the timers in scale down code. Adding 5 extra minutes to workaround
// this issue.
// TODO: Remove the extra time when GKE restart is fixed.
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+extraNodes+1, scaleUpTimeout+5*time.Minute))
})
simpleScaleDownTest := func(unready int) {
cleanup, err := addKubeSystemPdbs(f)
defer cleanup()
framework.ExpectNoError(err)
By("Manually increase cluster size")
increasedSize := 0
newSizes := make(map[string]int)
for key, val := range originalSizes {
newSizes[key] = val + 2 + unready
increasedSize += val + 2 + unready
}
setMigSizes(newSizes)
framework.ExpectNoError(WaitForClusterSizeFuncWithUnready(f.ClientSet,
func(size int) bool { return size >= increasedSize }, manualResizeTimeout, unready))
By("Some node should be removed")
framework.ExpectNoError(WaitForClusterSizeFuncWithUnready(f.ClientSet,
func(size int) bool { return size < increasedSize }, scaleDownTimeout, unready))
}
It("should correctly scale down after a node is not needed [Feature:ClusterSizeAutoscalingScaleDown]",
func() { simpleScaleDownTest(0) })
It("should correctly scale down after a node is not needed and one node is broken [Feature:ClusterSizeAutoscalingScaleDown]",
func() {
framework.TestUnderTemporaryNetworkFailure(c, "default", getAnyNode(c), func() { simpleScaleDownTest(1) })
})
It("should correctly scale down after a node is not needed when there is non autoscaled pool[Feature:ClusterSizeAutoscalingScaleDown]", func() {
framework.SkipUnlessProviderIs("gke")
increasedSize := manuallyIncreaseClusterSize(f, originalSizes)
const extraPoolName = "extra-pool"
addNodePool(extraPoolName, "n1-standard-1", 3)
defer deleteNodePool(extraPoolName)
extraNodes := getPoolInitialSize(extraPoolName)
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size >= increasedSize+extraNodes }, scaleUpTimeout))
By("Some node should be removed")
// Apparently GKE master is restarted couple minutes after the node pool is added
// reseting all the timers in scale down code. Adding 10 extra minutes to workaround
// this issue.
// TODO: Remove the extra time when GKE restart is fixed.
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size < increasedSize+extraNodes }, scaleDownTimeout+10*time.Minute))
})
It("should be able to scale down when rescheduling a pod is required and pdb allows for it[Feature:ClusterSizeAutoscalingScaleDown]", func() {
runDrainTest(f, originalSizes, f.Namespace.Name, 1, 1, func(increasedSize int) {
By("Some node should be removed")
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size < increasedSize }, scaleDownTimeout))
})
})
It("shouldn't be able to scale down when rescheduling a pod is required, but pdb doesn't allow drain[Feature:ClusterSizeAutoscalingScaleDown]", func() {
runDrainTest(f, originalSizes, f.Namespace.Name, 1, 0, func(increasedSize int) {
By("No nodes should be removed")
time.Sleep(scaleDownTimeout)
nodes := framework.GetReadySchedulableNodesOrDie(f.ClientSet)
Expect(len(nodes.Items)).Should(Equal(increasedSize))
})
})
It("should be able to scale down by draining multiple pods one by one as dictated by pdb[Feature:ClusterSizeAutoscalingScaleDown]", func() {
runDrainTest(f, originalSizes, f.Namespace.Name, 2, 1, func(increasedSize int) {
By("Some node should be removed")
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size < increasedSize }, scaleDownTimeout))
})
})
It("should be able to scale down by draining system pods with pdb[Feature:ClusterSizeAutoscalingScaleDown]", func() {
runDrainTest(f, originalSizes, "kube-system", 2, 1, func(increasedSize int) {
By("Some node should be removed")
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size < increasedSize }, scaleDownTimeout))
})
})
It("Should be able to scale a node group up from 0[Feature:ClusterSizeAutoscalingScaleUp]", func() {
// Provider-specific setup
if framework.ProviderIs("gke") {
// GKE-specific setup
By("Add a new node pool with 0 nodes and min size 0")
const extraPoolName = "extra-pool"
addNodePool(extraPoolName, "n1-standard-4", 0)
defer deleteNodePool(extraPoolName)
framework.ExpectNoError(enableAutoscaler(extraPoolName, 0, 1))
defer disableAutoscaler(extraPoolName, 0, 1)
} else {
// on GCE, run only if there are already at least 2 node groups
framework.SkipUnlessAtLeast(len(originalSizes), 2, "At least 2 node groups are needed for scale-to-0 tests")
By("Manually scale smallest node group to 0")
minMig := ""
minSize := nodeCount
for mig, size := range originalSizes {
if size <= minSize {
minMig = mig
minSize = size
}
}
framework.ExpectNoError(framework.ResizeGroup(minMig, int32(0)))
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount-minSize, resizeTimeout))
}
By("Make remaining nodes unschedulable")
nodes, err := f.ClientSet.CoreV1().Nodes().List(metav1.ListOptions{FieldSelector: fields.Set{
"spec.unschedulable": "false",
}.AsSelector().String()})
framework.ExpectNoError(err)
for _, node := range nodes.Items {
err = makeNodeUnschedulable(f.ClientSet, &node)
defer func(n v1.Node) {
makeNodeSchedulable(f.ClientSet, &n, false)
}(node)
framework.ExpectNoError(err)
}
By("Run a scale-up test")
ReserveMemory(f, "memory-reservation", 1, 100, false, 1*time.Second)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
// Verify that cluster size is increased
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size >= len(nodes.Items)+1 }, scaleUpTimeout))
framework.ExpectNoError(waitForAllCaPodsReadyInNamespace(f, c))
})
// Scale to 0 test is split into two functions (for GKE & GCE.)
// The reason for it is that scenario is exactly the same,
// but setup & verification use different APIs.
//
// Scenario:
// (GKE only) add an extra node pool with size 1 & enable autoscaling for it
// (GCE only) find the smallest MIG & resize it to 1
// manually drain the single node from this node pool/MIG
// wait for cluster size to decrease
// verify the targeted node pool/MIG is of size 0
gkeScaleToZero := func() {
// GKE-specific setup
By("Add a new node pool with size 1 and min size 0")
const extraPoolName = "extra-pool"
addNodePool(extraPoolName, "n1-standard-4", 1)
defer deleteNodePool(extraPoolName)
extraNodes := getPoolInitialSize(extraPoolName)
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount+extraNodes, resizeTimeout))
framework.ExpectNoError(enableAutoscaler(extraPoolName, 0, 1))
defer disableAutoscaler(extraPoolName, 0, 1)
ngNodes := getPoolNodes(f, extraPoolName)
Expect(len(ngNodes)).To(Equal(extraNodes))
for _, node := range ngNodes {
By(fmt.Sprintf("Target node for scale-down: %s", node.Name))
}
for _, node := range ngNodes {
drainNode(f, node)
}
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size <= nodeCount }, scaleDownTimeout))
// GKE-specific check
newSize := getPoolSize(f, extraPoolName)
Expect(newSize).Should(Equal(0))
}
gceScaleToZero := func() {
// non-GKE only
By("Find smallest node group and manually scale it to a single node")
minMig := ""
minSize := nodeCount
for mig, size := range originalSizes {
if size <= minSize {
minMig = mig
minSize = size
}
}
framework.ExpectNoError(framework.ResizeGroup(minMig, int32(1)))
framework.ExpectNoError(framework.WaitForReadyNodes(c, nodeCount-minSize+1, resizeTimeout))
ngNodes, err := framework.GetGroupNodes(minMig)
framework.ExpectNoError(err)
Expect(len(ngNodes) == 1).To(BeTrue())
node, err := f.ClientSet.CoreV1().Nodes().Get(ngNodes[0], metav1.GetOptions{})
By(fmt.Sprintf("Target node for scale-down: %s", node.Name))
framework.ExpectNoError(err)
// this part is identical
drainNode(f, node)
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size < nodeCount-minSize+1 }, scaleDownTimeout))
// non-GKE only
newSize, err := framework.GroupSize(minMig)
framework.ExpectNoError(err)
Expect(newSize).Should(Equal(0))
}
It("Should be able to scale a node group down to 0[Feature:ClusterSizeAutoscalingScaleDown]", func() {
if framework.ProviderIs("gke") { // In GKE, we can just add a node pool
gkeScaleToZero()
} else if len(originalSizes) >= 2 {
gceScaleToZero()
} else {
framework.Skipf("At least 2 node groups are needed for scale-to-0 tests")
}
})
It("Shouldn't perform scale up operation and should list unhealthy status if most of the cluster is broken[Feature:ClusterSizeAutoscalingScaleUp]", func() {
clusterSize := nodeCount
for clusterSize < unhealthyClusterThreshold+1 {
clusterSize = manuallyIncreaseClusterSize(f, originalSizes)
}
By("Block network connectivity to some nodes to simulate unhealthy cluster")
nodesToBreakCount := int(math.Floor(math.Max(float64(unhealthyClusterThreshold), 0.5*float64(clusterSize))))
nodes, err := f.ClientSet.CoreV1().Nodes().List(metav1.ListOptions{FieldSelector: fields.Set{
"spec.unschedulable": "false",
}.AsSelector().String()})
framework.ExpectNoError(err)
Expect(nodesToBreakCount <= len(nodes.Items)).To(BeTrue())
nodesToBreak := nodes.Items[:nodesToBreakCount]
// TestUnderTemporaryNetworkFailure only removes connectivity to a single node,
// and accepts func() callback. This is expanding the loop to recursive call
// to avoid duplicating TestUnderTemporaryNetworkFailure
var testFunction func()
testFunction = func() {
if len(nodesToBreak) > 0 {
ntb := &nodesToBreak[0]
nodesToBreak = nodesToBreak[1:]
framework.TestUnderTemporaryNetworkFailure(c, "default", ntb, testFunction)
} else {
ReserveMemory(f, "memory-reservation", 100, nodeCount*memAllocatableMb, false, defaultTimeout)
defer framework.DeleteRCAndWaitForGC(f.ClientSet, f.Namespace.Name, "memory-reservation")
time.Sleep(scaleUpTimeout)
currentNodes := framework.GetReadySchedulableNodesOrDie(f.ClientSet)
framework.Logf("Currently available nodes: %v, nodes available at the start of test: %v, disabled nodes: %v", len(currentNodes.Items), len(nodes.Items), nodesToBreakCount)
Expect(len(currentNodes.Items)).Should(Equal(len(nodes.Items) - nodesToBreakCount))
status, err := getClusterwideStatus(c)
framework.Logf("Clusterwide status: %v", status)
framework.ExpectNoError(err)
Expect(status).Should(Equal("Unhealthy"))
}
}
testFunction()
// Give nodes time to recover from network failure
framework.ExpectNoError(framework.WaitForReadyNodes(c, len(nodes.Items), nodesRecoverTimeout))
})
It("shouldn't scale up when expendable pod is created [Feature:ClusterSizeAutoscalingScaleUp]", func() {
// TODO(krzysztof_jastrzebski): Start running this test on GKE when Pod Priority and Preemption is in beta.
framework.SkipUnlessProviderIs("gce")
defer createPriorityClasses(f)()
// Create nodesCountAfterResize+1 pods allocating 0.7 allocatable on present nodes. One more node will have to be created.
cleanupFunc := ReserveMemoryWithPriority(f, "memory-reservation", nodeCount+1, int(float64(nodeCount+1)*float64(0.7)*float64(memAllocatableMb)), false, time.Second, expendablePriorityClassName)
defer cleanupFunc()
By(fmt.Sprintf("Waiting for scale up hoping it won't happen, sleep for %s", scaleUpTimeout.String()))
time.Sleep(scaleUpTimeout)
// Verify that cluster size is not changed
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == nodeCount }, time.Second))
})
It("should scale up when non expendable pod is created [Feature:ClusterSizeAutoscalingScaleUp]", func() {
// TODO(krzysztof_jastrzebski): Start running this test on GKE when Pod Priority and Preemption is in beta.
framework.SkipUnlessProviderIs("gce")
defer createPriorityClasses(f)()
// Create nodesCountAfterResize+1 pods allocating 0.7 allocatable on present nodes. One more node will have to be created.
cleanupFunc := ReserveMemoryWithPriority(f, "memory-reservation", nodeCount+1, int(float64(nodeCount+1)*float64(0.7)*float64(memAllocatableMb)), true, scaleUpTimeout, highPriorityClassName)
defer cleanupFunc()
// Verify that cluster size is not changed
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size > nodeCount }, time.Second))
})
It("shouldn't scale up when expendable pod is preempted [Feature:ClusterSizeAutoscalingScaleUp]", func() {
// TODO(krzysztof_jastrzebski): Start running this test on GKE when Pod Priority and Preemption is in beta.
framework.SkipUnlessProviderIs("gce")
defer createPriorityClasses(f)()
// Create nodesCountAfterResize pods allocating 0.7 allocatable on present nodes - one pod per node.
cleanupFunc1 := ReserveMemoryWithPriority(f, "memory-reservation1", nodeCount, int(float64(nodeCount)*float64(0.7)*float64(memAllocatableMb)), true, defaultTimeout, expendablePriorityClassName)
defer cleanupFunc1()
// Create nodesCountAfterResize pods allocating 0.7 allocatable on present nodes - one pod per node. Pods created here should preempt pods created above.
cleanupFunc2 := ReserveMemoryWithPriority(f, "memory-reservation2", nodeCount, int(float64(nodeCount)*float64(0.7)*float64(memAllocatableMb)), true, defaultTimeout, highPriorityClassName)
defer cleanupFunc2()
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == nodeCount }, time.Second))
})
It("should scale down when expendable pod is running [Feature:ClusterSizeAutoscalingScaleDown]", func() {
// TODO(krzysztof_jastrzebski): Start running this test on GKE when Pod Priority and Preemption is in beta.
framework.SkipUnlessProviderIs("gce")
defer createPriorityClasses(f)()
increasedSize := manuallyIncreaseClusterSize(f, originalSizes)
// Create increasedSize pods allocating 0.7 allocatable on present nodes - one pod per node.
cleanupFunc := ReserveMemoryWithPriority(f, "memory-reservation", increasedSize, int(float64(increasedSize)*float64(0.7)*float64(memAllocatableMb)), true, scaleUpTimeout, expendablePriorityClassName)
defer cleanupFunc()
By("Waiting for scale down")
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == nodeCount }, scaleDownTimeout))
})
It("shouldn't scale down when non expendable pod is running [Feature:ClusterSizeAutoscalingScaleDown]", func() {
// TODO(krzysztof_jastrzebski): Start running this test on GKE when Pod Priority and Preemption is in beta.
framework.SkipUnlessProviderIs("gce")
defer createPriorityClasses(f)()
increasedSize := manuallyIncreaseClusterSize(f, originalSizes)
// Create increasedSize pods allocating 0.7 allocatable on present nodes - one pod per node.
cleanupFunc := ReserveMemoryWithPriority(f, "memory-reservation", increasedSize, int(float64(increasedSize)*float64(0.7)*float64(memAllocatableMb)), true, scaleUpTimeout, highPriorityClassName)
defer cleanupFunc()
By(fmt.Sprintf("Waiting for scale down hoping it won't happen, sleep for %s", scaleDownTimeout.String()))
time.Sleep(scaleDownTimeout)
framework.ExpectNoError(WaitForClusterSizeFunc(f.ClientSet,
func(size int) bool { return size == increasedSize }, time.Second))
})
})
func installNvidiaDriversDaemonSet() {
By("Add daemonset which installs nvidia drivers")
// the link differs from one in GKE documentation; discussed with @mindprince this one should be used
framework.RunKubectlOrDie("apply", "-f", "https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/daemonset.yaml")
}
func execCmd(args ...string) *exec.Cmd {
glog.Infof("Executing: %s", strings.Join(args, " "))
return exec.Command(args[0], args[1:]...)
}
func runDrainTest(f *framework.Framework, migSizes map[string]int, namespace string, podsPerNode, pdbSize int, verifyFunction func(int)) {
increasedSize := manuallyIncreaseClusterSize(f, migSizes)
nodes, err := f.ClientSet.CoreV1().Nodes().List(metav1.ListOptions{FieldSelector: fields.Set{
"spec.unschedulable": "false",
}.AsSelector().String()})
framework.ExpectNoError(err)
numPods := len(nodes.Items) * podsPerNode
testID := string(uuid.NewUUID()) // So that we can label and find pods
labelMap := map[string]string{"test_id": testID}
framework.ExpectNoError(runReplicatedPodOnEachNode(f, nodes.Items, namespace, podsPerNode, "reschedulable-pods", labelMap, 0))
defer framework.DeleteRCAndWaitForGC(f.ClientSet, namespace, "reschedulable-pods")
By("Create a PodDisruptionBudget")
minAvailable := intstr.FromInt(numPods - pdbSize)
pdb := &policy.PodDisruptionBudget{
ObjectMeta: metav1.ObjectMeta{
Name: "test_pdb",
Namespace: namespace,
},
Spec: policy.PodDisruptionBudgetSpec{
Selector: &metav1.LabelSelector{MatchLabels: labelMap},
MinAvailable: &minAvailable,
},
}
_, err = f.ClientSet.PolicyV1beta1().PodDisruptionBudgets(namespace).Create(pdb)
defer func() {
f.ClientSet.PolicyV1beta1().PodDisruptionBudgets(namespace).Delete(pdb.Name, &metav1.DeleteOptions{})
}()