【K8S源码之Pod漂移-转载】k8s驱逐篇(7)-kube-controller-manager驱逐-taintManager源码分析

转载自

k8s驱逐篇(7)-kube-controller-manager驱逐-taintManager源码分析 - 良凯尔 - 博客园

概述

taintManager的主要功能为：当某个node被打上NoExecute污点后，其上面的pod如果不能容忍该污点，则taintManager将会驱逐这些pod，而新建的pod也需要容忍该污点才能调度到该node上；

通过kcm启动参数--enable-taint-manager来确定是否启动taintManager，true时启动（启动参数默认值为true）；

kcm启动参数--feature-gates=TaintBasedEvictions=xxx，默认值true，配合--enable-taint-manager共同作用，两者均为true，才会开启污点驱逐；

kcm污点驱逐

当node出现NoExecute污点时，判断node上的pod是否能容忍node的污点，不能容忍的pod，会被立即删除，能容忍所有污点的pod，则等待所有污点的容忍时间里最小值后，pod被删除；

源码分析

1.结构体分析

1.1 NoExecuteTaintManager结构体分析

NoExecuteTaintManager结构体为taintManager的主要结构体，其主要属性有：
（1）taintEvictionQueue：不能容忍node上NoExecute的污点的pod，会被加入到该队列中，然后pod会被删除；
（2）taintedNodes：记录了每个node的taint；
（3）nodeUpdateQueue：当node对象发生add、delete、update（新旧node对象的taint不相同）事件时，node会进入该队列；
（4）podUpdateQueue：当pod对象发生add、delete、update（新旧pod对象的NodeName或Tolerations不相同）事件时，pod会进入该队列；
（5）nodeUpdateChannels：nodeUpdateChannels即8个nodeUpdateItem类型的channel，有worker负责消费nodeUpdateQueue队列，然后根据node name计算出index，把node放入其中1个nodeUpdateItem类型的channel中；
（6）podUpdateChannels：podUpdateChannels即8个podUpdateItem类型的channel，有worker负责消费podUpdateQueue队列，然后根据pod的node name计算出index，把pod放入其中1个podUpdateItem类型的channel中；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
type NoExecuteTaintManager struct {
client                clientset.Interface
recorder              record.EventRecorder
getPod                GetPodFunc
getNode               GetNodeFunc
getPodsAssignedToNode GetPodsByNodeNameFunc

taintEvictionQueue *TimedWorkerQueue
// keeps a map from nodeName to all noExecute taints on that Node
taintedNodesLock sync.Mutex
taintedNodes     map[string][]v1.Taint

nodeUpdateChannels []chan nodeUpdateItem
podUpdateChannels  []chan podUpdateItem

nodeUpdateQueue workqueue.Interface
podUpdateQueue  workqueue.Interface
}

1.2 taintEvictionQueue分析

taintEvictionQueue属性是一个TimedWorkerQueue类型的队列，调用tc.taintEvictionQueue.AddWork，会将pod添加到该队列中，会添加一个定时器，然后到期之后会自动执行workFunc，初始化taintEvictionQueue时，传入的workFunc是deletePodHandler函数，作用是删除pod；

所以进入taintEvictionQueue中的pod，会在设置好的时间，被删除；

1.3 pod.Spec.Tolerations分析

pod.Spec.Tolerations配置的是pod的污点容忍信息；

// vendor/k8s.io/api/core/v1/types.go
type Toleration struct {
Key string `json:"key,omitempty" protobuf:"bytes,1,opt,name=key"`
Operator TolerationOperator `json:"operator,omitempty" protobuf:"bytes,2,opt,name=operator,casttype=TolerationOperator"`
Value string `json:"value,omitempty" protobuf:"bytes,3,opt,name=value"`
Effect TaintEffect `json:"effect,omitempty" protobuf:"bytes,4,opt,name=effect,casttype=TaintEffect"`
TolerationSeconds *int64 `json:"tolerationSeconds,omitempty" protobuf:"varint,5,opt,name=tolerationSeconds"`
}

Tolerations的属性值解析如下：
（1）Key：匹配node污点的Key；
（2）Operator：表示Tolerations中Key与node污点的Key相同时，其Value与node污点的Value的关系，默认值Equal，代表相等，Exists则代表Tolerations中Key与node污点的Key相同即可，不用比较其Value值；
（3）Value：匹配node污点的Value；
（4）Effect：匹配node污点的Effect；
（5）TolerationSeconds：node污点容忍时间；

配置示例：

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600

上述配置表示如果该pod正在运行，同时一个匹配的污点被添加到其所在的node节点上，那么该pod还将继续在节点上运行3600秒，然后会被驱逐（如果在此之前其匹配的node污点被删除了，则该pod不会被驱逐）；

2.初始化分析

2.1 NewNodeLifecycleController

NewNodeLifecycleController为NodeLifecycleController的初始化函数，里面给taintManager注册了pod与node的EventHandler，Add、Update、Delete事件都会调用taintManager的PodUpdated或NodeUpdated方法来做处理；

// pkg/controller/nodelifecycle/node_lifecycle_controller.go
func NewNodeLifecycleController(
    ...
    podInformer.Informer().AddEventHandler(cache.ResourceEventHandlerFuncs{
AddFunc: func(obj interface{}) {
...
if nc.taintManager != nil {
nc.taintManager.PodUpdated(nil, pod)
}
},
UpdateFunc: func(prev, obj interface{}) {
...
if nc.taintManager != nil {
nc.taintManager.PodUpdated(prevPod, newPod)
}
},
DeleteFunc: func(obj interface{}) {
...
if nc.taintManager != nil {
nc.taintManager.PodUpdated(pod, nil)
}
},
})
    ...
    if nc.runTaintManager {
podGetter := func(name, namespace string) (*v1.Pod, error) { return nc.podLister.Pods(namespace).Get(name) }
nodeLister := nodeInformer.Lister()
nodeGetter := func(name string) (*v1.Node, error) { return nodeLister.Get(name) }
nc.taintManager = scheduler.NewNoExecuteTaintManager(kubeClient, podGetter, nodeGetter, nc.getPodsAssignedToNode)
nodeInformer.Informer().AddEventHandler(cache.ResourceEventHandlerFuncs{
AddFunc: nodeutil.CreateAddNodeHandler(func(node *v1.Node) error {
nc.taintManager.NodeUpdated(nil, node)
return nil
}),
UpdateFunc: nodeutil.CreateUpdateNodeHandler(func(oldNode, newNode *v1.Node) error {
nc.taintManager.NodeUpdated(oldNode, newNode)
return nil
}),
DeleteFunc: nodeutil.CreateDeleteNodeHandler(func(node *v1.Node) error {
nc.taintManager.NodeUpdated(node, nil)
return nil
}),
})
}
...
}

2.1.1 tc.NodeUpdated

tc.NodeUpdated方法会判断新旧node对象的taint是否相同，不相同则调用tc.nodeUpdateQueue.Add，将该node放入到nodeUpdateQueue队列中；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) NodeUpdated(oldNode *v1.Node, newNode *v1.Node) {
nodeName := ""
oldTaints := []v1.Taint{}
if oldNode != nil {
nodeName = oldNode.Name
oldTaints = getNoExecuteTaints(oldNode.Spec.Taints)
}

newTaints := []v1.Taint{}
if newNode != nil {
nodeName = newNode.Name
newTaints = getNoExecuteTaints(newNode.Spec.Taints)
}

if oldNode != nil && newNode != nil && helper.Semantic.DeepEqual(oldTaints, newTaints) {
return
}
updateItem := nodeUpdateItem{
nodeName: nodeName,
}

tc.nodeUpdateQueue.Add(updateItem)
}

2.1.2 tc.PodUpdated

tc.PodUpdated方法会判断新旧pod对象的NodeName或Tolerations是否相同，不相同则调用tc.podUpdateQueue.Add，将该pod放入到podUpdateQueue队列中；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) PodUpdated(oldPod *v1.Pod, newPod *v1.Pod) {
podName := ""
podNamespace := ""
nodeName := ""
oldTolerations := []v1.Toleration{}
if oldPod != nil {
podName = oldPod.Name
podNamespace = oldPod.Namespace
nodeName = oldPod.Spec.NodeName
oldTolerations = oldPod.Spec.Tolerations
}
newTolerations := []v1.Toleration{}
if newPod != nil {
podName = newPod.Name
podNamespace = newPod.Namespace
nodeName = newPod.Spec.NodeName
newTolerations = newPod.Spec.Tolerations
}

if oldPod != nil && newPod != nil && helper.Semantic.DeepEqual(oldTolerations, newTolerations) && oldPod.Spec.NodeName == newPod.Spec.NodeName {
return
}
updateItem := podUpdateItem{
podName:      podName,
podNamespace: podNamespace,
nodeName:     nodeName,
}

tc.podUpdateQueue.Add(updateItem)
}

2.2 taintEvictionQueue

看到TaintManager的初始化方法NewNoExecuteTaintManager中，调用CreateWorkerQueue给taintEvictionQueue做了初始化；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func NewNoExecuteTaintManager(...) ... {
    ...
    tm.taintEvictionQueue = CreateWorkerQueue(deletePodHandler(c, tm.emitPodDeletionEvent))
    ...
}

CreateWorkerQueue函数初始化并返回TimedWorkerQueue结构体；

// pkg/controller/nodelifecycle/scheduler/timed_workers.go
func CreateWorkerQueue(f func(args *WorkArgs) error) *TimedWorkerQueue {
return &TimedWorkerQueue{
workers:  make(map[string]*TimedWorker),
workFunc: f,
}
}

2.2.1 deletePodHandler

初始化taintEvictionQueue时传入了deletePodHandler作为队列中元素的处理方法；deletePodHandler函数的主要逻辑是请求apiserver，删除pod对象，所以说，被放入到taintEvictionQueue队列中的pod，会被删除；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func deletePodHandler(c clientset.Interface, emitEventFunc func(types.NamespacedName)) func(args *WorkArgs) error {
return func(args *WorkArgs) error {
ns := args.NamespacedName.Namespace
name := args.NamespacedName.Name
klog.V(0).Infof("NoExecuteTaintManager is deleting Pod: %v", args.NamespacedName.String())
if emitEventFunc != nil {
emitEventFunc(args.NamespacedName)
}
var err error
for i := 0; i < retries; i++ {
err = c.CoreV1().Pods(ns).Delete(name, &metav1.DeleteOptions{})
if err == nil {
break
}
time.Sleep(10 * time.Millisecond)
}
return err
}
}

2.2.2 tc.taintEvictionQueue.AddWork

再来看一下tc.taintEvictionQueue.AddWork方法，作用是添加pod进入taintEvictionQueue队列，即调用CreateWorker给该pod创建一个worker来删除该pod；

// pkg/controller/nodelifecycle/scheduler/timed_workers.go
func (q *TimedWorkerQueue) AddWork(args *WorkArgs, createdAt time.Time, fireAt time.Time) {
key := args.KeyFromWorkArgs()
klog.V(4).Infof("Adding TimedWorkerQueue item %v at %v to be fired at %v", key, createdAt, fireAt)

q.Lock()
defer q.Unlock()
if _, exists := q.workers[key]; exists {
klog.Warningf("Trying to add already existing work for %+v. Skipping.", args)
return
}
worker := CreateWorker(args, createdAt, fireAt, q.getWrappedWorkerFunc(key))
q.workers[key] = worker
}

CreateWorker函数会先判断是否应该立即执行workFunc，是的话立即拉起一个goroutine来执行workFunc并返回，否则定义一个timer定时器，到时间后自动拉起一个goroutine执行workFunc；

// pkg/controller/nodelifecycle/scheduler/timed_workers.go
func CreateWorker(args *WorkArgs, createdAt time.Time, fireAt time.Time, f func(args *WorkArgs) error) *TimedWorker {
delay := fireAt.Sub(createdAt)
if delay <= 0 {
go f(args)
return nil
}
timer := time.AfterFunc(delay, func() { f(args) })
return &TimedWorker{
WorkItem:  args,
CreatedAt: createdAt,
FireAt:    fireAt,
Timer:     timer,
}
}

2.2.3 tc.taintEvictionQueue.Cancel

tc.taintEvictionQueue.AddWork方法，作用是停止对应的pod的timer，即停止执行对应pod的workFunc（不删除pod）；

// pkg/controller/nodelifecycle/scheduler/timed_workers.go
func (w *TimedWorker) Cancel() {
if w != nil {
w.Timer.Stop()
}
}

3.核心处理逻辑分析

nc.taintManager.Run

nc.taintManager.Run为taintManager的启动方法，处理逻辑都在这，主要是判断node上的pod是否能容忍node的NoExecute污点，不能容忍的pod，会被删除，能容忍所有污点的pod，则等待所有污点的容忍时间里最小值后，被删除；

主要逻辑：
（1）创建8个类型为nodeUpdateItem的channel（缓冲区大小10），并赋值给tc.nodeUpdateChannels；
创建8个类型为podUpdateItem的channel（缓冲区大小1），并赋值给podUpdateChannels；

（2）消费tc.nodeUpdateQueue队列，根据node name计算hash，将node放入对应的tc.nodeUpdateChannels[hash]中；

（3）消费tc.podUpdateQueue队列，根据pod的node name计算hash，将node放入对应的tc.podUpdateChannels[hash]中；

（4）启动8个goroutine，调用tc.worker对其中一个tc.nodeUpdateChannels与tc.podUpdateChannels做处理，判断node上的pod是否能容忍node的NoExecute污点，不能容忍的pod，会被删除，能容忍所有污点的pod，则等待所有污点的容忍时间里最小值后，被删除；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) Run(stopCh <-chan struct{}) {
klog.V(0).Infof("Starting NoExecuteTaintManager")

for i := 0; i < UpdateWorkerSize; i++ {
tc.nodeUpdateChannels = append(tc.nodeUpdateChannels, make(chan nodeUpdateItem, NodeUpdateChannelSize))
tc.podUpdateChannels = append(tc.podUpdateChannels, make(chan podUpdateItem, podUpdateChannelSize))
}

// Functions that are responsible for taking work items out of the workqueues and putting them
// into channels.
go func(stopCh <-chan struct{}) {
for {
item, shutdown := tc.nodeUpdateQueue.Get()
if shutdown {
break
}
nodeUpdate := item.(nodeUpdateItem)
hash := hash(nodeUpdate.nodeName, UpdateWorkerSize)
select {
case <-stopCh:
tc.nodeUpdateQueue.Done(item)
return
case tc.nodeUpdateChannels[hash] <- nodeUpdate:
// tc.nodeUpdateQueue.Done is called by the nodeUpdateChannels worker
}
}
}(stopCh)

go func(stopCh <-chan struct{}) {
for {
item, shutdown := tc.podUpdateQueue.Get()
if shutdown {
break
}
// The fact that pods are processed by the same worker as nodes is used to avoid races
// between node worker setting tc.taintedNodes and pod worker reading this to decide
// whether to delete pod.
// It's possible that even without this assumption this code is still correct.
podUpdate := item.(podUpdateItem)
hash := hash(podUpdate.nodeName, UpdateWorkerSize)
select {
case <-stopCh:
tc.podUpdateQueue.Done(item)
return
case tc.podUpdateChannels[hash] <- podUpdate:
// tc.podUpdateQueue.Done is called by the podUpdateChannels worker
}
}
}(stopCh)

wg := sync.WaitGroup{}
wg.Add(UpdateWorkerSize)
for i := 0; i < UpdateWorkerSize; i++ {
go tc.worker(i, wg.Done, stopCh)
}
wg.Wait()
}

tc.worker

tc.worker方法负责消费nodeUpdateChannels和podUpdateChannels，分别调用tc.handleNodeUpdate和tc.handlePodUpdate方法做进一步处理；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) worker(worker int, done func(), stopCh <-chan struct{}) {
defer done()

// When processing events we want to prioritize Node updates over Pod updates,
// as NodeUpdates that interest NoExecuteTaintManager should be handled as soon as possible -
// we don't want user (or system) to wait until PodUpdate queue is drained before it can
// start evicting Pods from tainted Nodes.
for {
select {
case <-stopCh:
return
case nodeUpdate := <-tc.nodeUpdateChannels[worker]:
tc.handleNodeUpdate(nodeUpdate)
tc.nodeUpdateQueue.Done(nodeUpdate)
case podUpdate := <-tc.podUpdateChannels[worker]:
// If we found a Pod update we need to empty Node queue first.
priority:
for {
select {
case nodeUpdate := <-tc.nodeUpdateChannels[worker]:
tc.handleNodeUpdate(nodeUpdate)
tc.nodeUpdateQueue.Done(nodeUpdate)
default:
break priority
}
}
// After Node queue is emptied we process podUpdate.
tc.handlePodUpdate(podUpdate)
tc.podUpdateQueue.Done(podUpdate)
}
}
}

3.1 tc.handleNodeUpdate

tc.handleNodeUpdate方法主要是判断node上的pod是否能容忍node的NoExecute污点，不能容忍的pod，会被删除，能容忍所有污点的pod，则等待所有污点的容忍时间里最小值后，被删除；

主要逻辑：
（1）从informer本地缓存中获取node对象；
（2）从node.Spec.Taints中获取NoExecute的taints；
（3）将该node的NoExecute的taints更新到tc.taintedNodes中；
（4）调用tc.getPodsAssignedToNode，获取该node上的所有pod，如果pod数量为0，直接return；
（5）如果node的NoExecute的taints数量为0，则遍历该node上所有pod，调用tc.cancelWorkWithEvent，将该pod从taintEvictionQueue队列中移除，然后直接return；
（6）遍历该node上所有pod，调用tc.processPodOnNode，对pod做进一步处理；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) handleNodeUpdate(nodeUpdate nodeUpdateItem) {
node, err := tc.getNode(nodeUpdate.nodeName)
if err != nil {
if apierrors.IsNotFound(err) {
// Delete
klog.V(4).Infof("Noticed node deletion: %#v", nodeUpdate.nodeName)
tc.taintedNodesLock.Lock()
defer tc.taintedNodesLock.Unlock()
delete(tc.taintedNodes, nodeUpdate.nodeName)
return
}
utilruntime.HandleError(fmt.Errorf("cannot get node %s: %v", nodeUpdate.nodeName, err))
return
}

// Create or Update
klog.V(4).Infof("Noticed node update: %#v", nodeUpdate)
taints := getNoExecuteTaints(node.Spec.Taints)
func() {
tc.taintedNodesLock.Lock()
defer tc.taintedNodesLock.Unlock()
klog.V(4).Infof("Updating known taints on node %v: %v", node.Name, taints)
if len(taints) == 0 {
delete(tc.taintedNodes, node.Name)
} else {
tc.taintedNodes[node.Name] = taints
}
}()

// This is critical that we update tc.taintedNodes before we call getPodsAssignedToNode:
// getPodsAssignedToNode can be delayed as long as all future updates to pods will call
// tc.PodUpdated which will use tc.taintedNodes to potentially delete delayed pods.
pods, err := tc.getPodsAssignedToNode(node.Name)
if err != nil {
klog.Errorf(err.Error())
return
}
if len(pods) == 0 {
return
}
// Short circuit, to make this controller a bit faster.
if len(taints) == 0 {
klog.V(4).Infof("All taints were removed from the Node %v. Cancelling all evictions...", node.Name)
for i := range pods {
tc.cancelWorkWithEvent(types.NamespacedName{Namespace: pods[i].Namespace, Name: pods[i].Name})
}
return
}

now := time.Now()
for _, pod := range pods {
podNamespacedName := types.NamespacedName{Namespace: pod.Namespace, Name: pod.Name}
tc.processPodOnNode(podNamespacedName, node.Name, pod.Spec.Tolerations, taints, now)
}
}

3.1.1 tc.processPodOnNode

tc.processPodOnNode方法主要作用是判断pod是否能容忍node上所有的NoExecute的污点，如果不能，则将该pod加到taintEvictionQueue队列中，能容忍所有污点的pod，则等待所有污点的容忍时间里最小值后，加到taintEvictionQueue队列中；

主要逻辑：
（1）如果node的NoExecute的taints数量为0，则调用tc.cancelWorkWithEvent，将该pod从taintEvictionQueue队列中移除；
（2）调用v1helper.GetMatchingTolerations，判断pod是否容忍node上所有的NoExecute的taints，以及获取能容忍taints的容忍列表；
（3）如果不能容忍所有污点，则调用tc.taintEvictionQueue.AddWork，将该pod加到taintEvictionQueue队列中；
（4）如果能容忍所有污点，则等待所有污点的容忍时间里最小值后，再调用tc.taintEvictionQueue.AddWork，将该pod加到taintEvictionQueue队列中；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) processPodOnNode(
podNamespacedName types.NamespacedName,
nodeName string,
tolerations []v1.Toleration,
taints []v1.Taint,
now time.Time,
) {
if len(taints) == 0 {
tc.cancelWorkWithEvent(podNamespacedName)
}
allTolerated, usedTolerations := v1helper.GetMatchingTolerations(taints, tolerations)
if !allTolerated {
klog.V(2).Infof("Not all taints are tolerated after update for Pod %v on %v", podNamespacedName.String(), nodeName)
// We're canceling scheduled work (if any), as we're going to delete the Pod right away.
tc.cancelWorkWithEvent(podNamespacedName)
tc.taintEvictionQueue.AddWork(NewWorkArgs(podNamespacedName.Name, podNamespacedName.Namespace), time.Now(), time.Now())
return
}
minTolerationTime := getMinTolerationTime(usedTolerations)
// getMinTolerationTime returns negative value to denote infinite toleration.
if minTolerationTime < 0 {
klog.V(4).Infof("New tolerations for %v tolerate forever. Scheduled deletion won't be cancelled if already scheduled.", podNamespacedName.String())
return
}

startTime := now
triggerTime := startTime.Add(minTolerationTime)
scheduledEviction := tc.taintEvictionQueue.GetWorkerUnsafe(podNamespacedName.String())
if scheduledEviction != nil {
startTime = scheduledEviction.CreatedAt
if startTime.Add(minTolerationTime).Before(triggerTime) {
return
}
tc.cancelWorkWithEvent(podNamespacedName)
}
tc.taintEvictionQueue.AddWork(NewWorkArgs(podNamespacedName.Name, podNamespacedName.Namespace), startTime, triggerTime)
}

3.2 tc.handlePodUpdate

tc.handlePodUpdate方法最终也是调用了tc.processPodOnNode对pod做进一步处理；

tc.processPodOnNode方法在上面已经分析过了，这里不再进行分析；

主要逻辑：
（1）从informer本地缓存中获取pod对象；
（2）获取pod的node name，如果为空，直接return；
（3）根据node name从tc.taintedNodes中获取node的污点，如果污点为空，直接return；
（4）调用tc.processPodOnNode对pod做进一步处理；

// pkg/controller/nodelifecycle/scheduler/taint_manager.go
func (tc *NoExecuteTaintManager) handlePodUpdate(podUpdate podUpdateItem) {
pod, err := tc.getPod(podUpdate.podName, podUpdate.podNamespace)
if err != nil {
if apierrors.IsNotFound(err) {
// Delete
podNamespacedName := types.NamespacedName{Namespace: podUpdate.podNamespace, Name: podUpdate.podName}
klog.V(4).Infof("Noticed pod deletion: %#v", podNamespacedName)
tc.cancelWorkWithEvent(podNamespacedName)
return
}
utilruntime.HandleError(fmt.Errorf("could not get pod %s/%s: %v", podUpdate.podName, podUpdate.podNamespace, err))
return
}

// We key the workqueue and shard workers by nodeName. If we don't match the current state we should not be the one processing the current object.
if pod.Spec.NodeName != podUpdate.nodeName {
return
}

// Create or Update
podNamespacedName := types.NamespacedName{Namespace: pod.Namespace, Name: pod.Name}
klog.V(4).Infof("Noticed pod update: %#v", podNamespacedName)
nodeName := pod.Spec.NodeName
if nodeName == "" {
return
}
taints, ok := func() ([]v1.Taint, bool) {
tc.taintedNodesLock.Lock()
defer tc.taintedNodesLock.Unlock()
taints, ok := tc.taintedNodes[nodeName]
return taints, ok
}()
// It's possible that Node was deleted, or Taints were removed before, which triggered
// eviction cancelling if it was needed.
if !ok {
return
}
tc.processPodOnNode(podNamespacedName, nodeName, pod.Spec.Tolerations, taints, time.Now())
}

总结

taintManager的主要功能为：当某个node被打上NoExecute污点后，其上面的pod如果不能容忍该污点，则taintManager将会驱逐这些pod，而新建的pod也需要容忍该污点才能调度到该node上；

通过kcm启动参数--enable-taint-manager来确定是否启动taintManager，true时启动（启动参数默认值为true）；

kcm启动参数--feature-gates=TaintBasedEvictions=xxx，默认值true，配合--enable-taint-manager共同作用，两者均为true，才会开启污点驱逐；

kcm污点驱逐

当node出现NoExecute污点时，判断node上的pod是否能容忍node的污点，不能容忍的pod，会被立即删除，能容忍所有污点的pod，则等待所有污点的容忍时间里最小值后，pod被删除；