DaemonSetController怎么创建和启动
本篇内容主要讲解“DaemonSet Controller怎么创建和启动”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“DaemonSet Controller怎么创建和启动”吧!
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DaemonSet Controller
DaemonSet Controller Struct
DaemonSet Controller的核心结构包括：
burstReplcas int: 每次sync时，Create和Delete Pods的数量上限，代码中写死为250。queue workqueue.RateLimitingInterface: 存放待同步DaemonSet Key(namespaces/name)的Delaying Queue。syncHandler func(dsKey string) error: 负责同步DaemonSet Queue中对象，包括Replicas管理、UpdateStrategy升级、更新DaemonSet Status等工作，是DaemonSet Controller中最核心的逻辑。expectations controller.ControllerExpectationsInterface: 维护每个DaemonSet对象每次Sync期望Create/Delete Pods数的TTLCache。suspendedDaemonPods map[string]sets.String: key为NodeName，value是DaemonSet集合，这些DaemonSet包含该Node上'wantToRun & !shouldSchedule'的Pod。如果DaemonSet的Spec中指定了NodeName，则根据其是否与node.Name匹配成功来决定shouldSchedule的值。
如果Predicate时出现所有类型的PredicateFailureError之一，则shouldSchedule都为false。
如果出现InsufficientResourceError，则shouldSchedule也为false。
ErrDiskConflict;
ErrVolumeZoneConflict;
ErrMaxVolumeCountExceeded;
ErrNodeUnderMemoryPressure;
ErrNodeUnderDiskPressure;
InsufficientResourceError;
wantToRun: 为True，当DaemonSet Controller去Simulate调度时，Predicate（主要是GeneralPredicates和PodToleratesNodeTaints）时忽略如下PredicateFailureError（都是些资源类的Error）时成功，有其他PredicateFailureError为False。如果DaemonSet的Spec中指定了NodeName，则根据其是否与node.Name匹配成功来决定wantToRun的值。
shouldSchedule:
failedPodsBackoff *flowcontrol.Backoff: DaemonSet Controller Run时会启动一个协程，每隔2*MaxDuration(2*15Min)会强制进行一次failedPods GC清理。每次syncDaemonSet处理该删除的Pods时，会按照1s,2s,4s,8s,.....15min的Backoff机制做一定的delay处理，实现流控的效果。防止kubelet拒绝某些DaemonSet Pods后，马上又被拒绝，如此就会出现很多无效的循环，因此加入了Backoff机制。
DaemonSet Controller的创建和启动
NewDaemonSetsController负责创建Controller，其中很重要的工作就是注册以下Informer的EventHandler：
daemonSetInformer: AddFunc/DeleteFunc/UpdateFunc最终其实都主要是enqueue DaemonSet；
historyInformer:
AddFunc: addHistory;
UpdateFunc: updateHistory;
DeleteFunc: deleteHistory;
podInformer:
AddFunc: addPod;
UpdateFunc: updatePod;
DeleteFunc: deletePod;
nodeInformer:
AddFunc: addNode;
UpdateFunc: updateNode;
DamonSet Controller Run启动时，主要干两件事：
启动2个workers协程，每个worker负责从queue中取DaemonSet Key进行sync。
启动1个failedPodsBackoff GC协程，每隔1Min清理一次集群中所有DaemonSet/Node对应的Failed Pods。
只有deletePod时，才会requeueSuspendedDaemonPods。-- 为什么？
DaemonSet的同步
worker会从queue中取待同步的DamonSet Key，调用syncDaemonSet完成自动管理，syncDaemonSet是DaemonSet管理的核心入口。
pkg/controller/daemon/daemon_controller.go:1208
func (dsc *DaemonSetsController) syncDaemonSet(key string) error {
...
ds, err := dsc.dsLister.DaemonSets(namespace).Get(name)
if errors.IsNotFound(err) {
klog.V(3).Infof("daemon set has been deleted %v", key)
dsc.expectations.DeleteExpectations(key)
return nil
}
if err != nil {
return fmt.Errorf("unable to retrieve ds %v from store: %v", key, err)
}
everything := metav1.LabelSelector{}
if reflect.DeepEqual(ds.Spec.Selector, &everything) {
dsc.eventRecorder.Eventf(ds, v1.EventTypeWarning, SelectingAllReason, "This daemon set is selecting all pods. A non-empty selector is required.")
return nil
}
// Don't process a daemon set until all its creations and deletions have been processed.
// For example if daemon set foo asked for 3 new daemon pods in the previous call to manage,
// then we do not want to call manage on foo until the daemon pods have been created.
...
if ds.DeletionTimestamp != nil {
return nil
}
// Construct histories of the DaemonSet, and get the hash of current history
cur, old, err := dsc.constructHistory(ds)
if err != nil {
return fmt.Errorf("failed to construct revisions of DaemonSet: %v", err)
}
hash := cur.Labels[apps.DefaultDaemonSetUniqueLabelKey]
if !dsc.expectations.SatisfiedExpectations(dsKey) {
// Only update status. Don't raise observedGeneration since controller didn't process object of that generation.
return dsc.updateDaemonSetStatus(ds, hash, false)
}
err = dsc.manage(ds, hash)
if err != nil {
return err
}
// Process rolling updates if we're ready.
if dsc.expectations.SatisfiedExpectations(dsKey) {
switch ds.Spec.UpdateStrategy.Type {
case apps.OnDeleteDaemonSetStrategyType:
case apps.RollingUpdateDaemonSetStrategyType:
err = dsc.rollingUpdate(ds, hash)
}
if err != nil {
return err
}
}
err = dsc.cleanupHistory(ds, old)
if err != nil {
return fmt.Errorf("failed to clean up revisions of DaemonSet: %v", err)
}
return dsc.updateDaemonSetStatus(ds, hash, true)
}核心的流程如下：
首先检查该DaemonSet对象在本地Store中是否被删除，如果是，则从expectations中删除该DaemonSet对应的数据。
检查该DaemonSet对象的LabelSelector是否为空，如果是，则syncDaemonSet返回结束，不进行同步，那么DaemonSet对应的Pod也不会被创建了。
如果其DeletionTimestamp非空，意味着用户触发了删除，则syncDaemonSet返回结束，不进行同步。DaemonSet对应的Pod交由GC Controller去完成删除。
然后constructHistory获取该DaemonSet的Current ControllerRevision和所有Old ControllerRevisions，并确保所有ControllerRevisions都打上Label: "controller-revision-hash: ControllerRevision.Name"，更新Current ControllerRevision的Revision = maxRevision(old) + 1。
检查当前expectations是否已经满足，当不满足时，只更新DaemonSet Status，同步流程结束。
DesiredNumberScheduled：用户期望调度的DaemonSet Pods数量，对应前面提到的wantToRun为true的pods数量。
CurrentNumberScheduled：用户期望调度的，并且当前已经运行在Node上的Pods数量。
NumberMisscheduled：用户不期望调度的（wantToRun为false），并且已经运行在对应Node上Pods数量，即已经错误调度的Pods数量。
NumberReady：CurrentNumberScheduled中，Pod Type Ready Condition为true的Pods数量。
UpdatedNumberScheduled：CurrentNumberScheduled中，Pod Label
controller-revision-hash对应的hash值与Current ControllerRevision的该hash值相等的Pods数量，即Pod Template已经更新的Pods数量。NumberAvailable：CurrentNumberScheduled中，Pod Type Ready Condition为true，并且Available（Ready时间超过minReadySeconds）的Pods数量。
NumberUnavailable：desiredNumberScheduled - numberAvailable。
expectations中add和del都不大于0，表示Controller expectations已经实现，则当前expectations已经满足。
expectations已经超时，超时时间是5min（不可配置），如果超时，则表示需要进行同步。
如果expectations中还没有该DaemonSet的信息，则表示也满足了，将触发DaemonSet同步。
此处updateDaemonSetStatus会更新该Daemonset.Status的如下字段，注意不会更新ObservedGeneration（也没发生变化）。
调用manage进行DaemonSet Pod的管理：计算待删除和创建的Pod列表，然后调用syncNodes分批次(1,2,4,8,..)的完成Pod的创建和删除。如果syncNodes之前发现某些Node上对应DaemonSet Pod是Failed，那么syncNodes后返回error。syncNode会将expectations中的add/del都归零甚至负数，只有这样，才会在syncDaemonSet中调用manage进行Pod管理。
如果manage返回error，则syncDaemonSet流程结束。否则会继续下面的流程。
检查当前expectations是否已经满足，如果满足，则根据UpdateStrategy触发DaemonSet更新：
如果UpdateStrategy是OnDelete，则等待用户delete Pod，触发对应的DaemonSet的enqueue，在syncNodes时更新最新的Pod Template创建新Pod。
如果UpdateStrategy是RollingUpdate，则调用rollingUpdate进行滚动更新，后面会详细分析。
如果DaemonSet更新成功，则根据需要（Old ControllerRevisions数量是否超过Spec.RevisionHistoryLimit，默认为10）清理超过RevisionHistoryLimit的最老的ControllerRevisions。
updateDaemonSetStatus会更新该Daemonset.Status，跟前面不同的是，这里还需要更新Status.ObservedGeneration。
DaemonSet Pod的调度
在Kubernetes 1.12之前的版本中，默认由DaemonSet Controller完成Daemon Pods的调度工作，即由DaemonSet Controller给待调度Pod的spec.nodeName设置值，然后对应Node的kubelet watch到该事件，再在本节点创建DaemonSet Pod。在Kubernetes 1.12+，默认启用了ScheduleDaemonSetPods FeatureGate, DaemonSet的调度就交由default scheduler完成。
DamonSet Pods Should Be On Node
在manage daemonset时，通过调用podsShouldBeOnNode来计算出希望在该Node上启动的DaemonSet Pods(nodesNeedingDaemonPods)、希望在该Node上删除的DaemonSet Pods(podsToDelete)，以及在该Node上已经Failed DamonSetPods数量，然后在syncNodes中根据这三个信息，去创建、删除对应的Pods。
func (dsc *DaemonSetsController) manage(ds *apps.DaemonSet, hash string) error {
// Find out the pods which are created for the nodes by DaemonSet.
nodeToDaemonPods, err := dsc.getNodesToDaemonPods(ds)
...
for _, node := range nodeList {
nodesNeedingDaemonPodsOnNode, podsToDeleteOnNode, failedPodsObservedOnNode, err := dsc.podsShouldBeOnNode(
node, nodeToDaemonPods, ds)
if err != nil {
continue
}
nodesNeedingDaemonPods = append(nodesNeedingDaemonPods, nodesNeedingDaemonPodsOnNode...)
podsToDelete = append(podsToDelete, podsToDeleteOnNode...)
failedPodsObserved += failedPodsObservedOnNode
}
// Label new pods using the hash label value of the current history when creating them
if err = dsc.syncNodes(ds, podsToDelete, nodesNeedingDaemonPods, hash); err != nil {
return err
}
...
return nil
}podsShouldBeOnNode是如何计算出nodesNeedingDaemonPods、podsToDelete、failedPodsObserved的呢？—— 通过调用nodeShouldRunDaemonPod(node *v1.Node, ds *apps.DaemonSet)计算出如下三个状态值：
wantToRun: 当DaemonSet Controller去Simulate调度时，Predicate（主要是GeneralPredicates和PodToleratesNodeTaints）时忽略如下PredicateFailureError（都是些资源类的Error）时为True，有其他PredicateFailureError为False。如果DaemonSet的Spec中指定了NodeName，则根据其是否与node.Name匹配成功来决定wantToRun的值。 - ErrDiskConflict; - ErrVolumeZoneConflict; - ErrMaxVolumeCountExceeded; - ErrNodeUnderMemoryPressure; - ErrNodeUnderDiskPressure; - InsufficientResourceError;
shouldSchedule:
- 如果DaemonSet的Spec中指定了NodeName，则根据其是否与node.Name匹配成功来决定shouldSchedule的值。 - 如果Predicate时出现所有类型的PredicateFailureError之一，则shouldSchedule都为false。 - 如果出现InsufficientResourceError，则shouldSchedule也为false。failedPodsBackoff *flowcontrol.Backoff: 按照1s,2s,4s,8s,...的backoff周期去处理（删除重建）Failed DaemonSet Pods，实现流控的效果。DaemonSet Controller Run时会启动一个协程，每隔2*MaxDuration(2*15Min)会强制进行一次failedPods GC清理。
shouldContinueRunning，如下情况之一出现，则该值为false，其他情况为true。
ErrNodeSelectorNotMatch,
ErrPodNotMatchHostName,
ErrNodeLabelPresenceViolated,
ErrPodNotFitsHostPorts:
ErrTaintsTolerationsNotMatch，如果是No Execute类型的Taint/Toleration匹配，则为true，否则为false，也就是说会忽略NoExecute类型的Taint/Toleration匹配。
ErrPodAffinityNotMatch,
ErrServiceAffinityViolated，
unknown predicate failure reason
然后根据这三个状态值，得到nodesNeedingDaemonPods []string、podsToDelete []string、failedPodsObserved int。
// podsShouldBeOnNode figures out the DaemonSet pods to be created and deleted on the given node:
func (dsc *DaemonSetsController) podsShouldBeOnNode(
node *v1.Node,
nodeToDaemonPods map[string][]*v1.Pod,
ds *apps.DaemonSet,
) (nodesNeedingDaemonPods, podsToDelete []string, failedPodsObserved int, err error) {
wantToRun, shouldSchedule, shouldContinueRunning, err := dsc.nodeShouldRunDaemonPod(node, ds)
if err != nil {
return
}
daemonPods, exists := nodeToDaemonPods[node.Name]
dsKey, _ := cache.MetaNamespaceKeyFunc(ds)
dsc.removeSuspendedDaemonPods(node.Name, dsKey)
switch {
case wantToRun && !shouldSchedule:
// If daemon pod is supposed to run, but can not be scheduled, add to suspended list.
dsc.addSuspendedDaemonPods(node.Name, dsKey)
case shouldSchedule && !exists:
// If daemon pod is supposed to be running on node, but isn't, create daemon pod.
nodesNeedingDaemonPods = append(nodesNeedingDaemonPods, node.Name)
case shouldContinueRunning:
// If a daemon pod failed, delete it
// If there's non-daemon pods left on this node, we will create it in the next sync loop
var daemonPodsRunning []*v1.Pod
for _, pod := range daemonPods {
if pod.DeletionTimestamp != nil {
continue
}
if pod.Status.Phase == v1.PodFailed {
failedPodsObserved++
// This is a critical place where DS is often fighting with kubelet that rejects pods.
// We need to avoid hot looping and backoff.
backoffKey := failedPodsBackoffKey(ds, node.Name)
now := dsc.failedPodsBackoff.Clock.Now()
inBackoff := dsc.failedPodsBackoff.IsInBackOffSinceUpdate(backoffKey, now)
if inBackoff {
delay := dsc.failedPodsBackoff.Get(backoffKey)
klog.V(4).Infof("Deleting failed pod %s/%s on node %s has been limited by backoff - %v remaining",
pod.Namespace, pod.Name, node.Name, delay)
dsc.enqueueDaemonSetAfter(ds, delay)
continue
}
dsc.failedPodsBackoff.Next(backoffKey, now)
msg := fmt.Sprintf("Found failed daemon pod %s/%s on node %s, will try to kill it", pod.Namespace, pod.Name, node.Name)
klog.V(2).Infof(msg)
// Emit an event so that it's discoverable to users.
dsc.eventRecorder.Eventf(ds, v1.EventTypeWarning, FailedDaemonPodReason, msg)
podsToDelete = append(podsToDelete, pod.Name)
} else {
daemonPodsRunning = append(daemonPodsRunning, pod)
}
}
// If daemon pod is supposed to be running on node, but more than 1 daemon pod is running, delete the excess daemon pods.
// Sort the daemon pods by creation time, so the oldest is preserved.
if len(daemonPodsRunning) > 1 {
sort.Sort(podByCreationTimestampAndPhase(daemonPodsRunning))
for i := 1; i < len(daemonPodsRunning); i++ {
podsToDelete = append(podsToDelete, daemonPodsRunning[i].Name)
}
}
case !shouldContinueRunning && exists:
// If daemon pod isn't supposed to run on node, but it is, delete all daemon pods on node.
for _, pod := range daemonPods {
podsToDelete = append(podsToDelete, pod.Name)
}
}
return nodesNeedingDaemonPods, podsToDelete, failedPodsObserved, nil
}
// nodeShouldRunDaemonPod checks a set of preconditions against a (node,daemonset) and returns a summary.
func (dsc *DaemonSetsController) nodeShouldRunDaemonPod(node *v1.Node, ds *apps.DaemonSet) (wantToRun, shouldSchedule, shouldContinueRunning bool, err error) {
newPod := NewPod(ds, node.Name)
// Because these bools require an && of all their required conditions, we start
// with all bools set to true and set a bool to false if a condition is not met.
// A bool should probably not be set to true after this line.
wantToRun, shouldSchedule, shouldContinueRunning = true, true, true
// If the daemon set specifies a node name, check that it matches with node.Name.
if !(ds.Spec.Template.Spec.NodeName == "" || ds.Spec.Template.Spec.NodeName == node.Name) {
return false, false, false, nil
}
reasons, nodeInfo, err := dsc.simulate(newPod, node, ds)
if err != nil {
klog.Warningf("DaemonSet Predicates failed on node %s for ds '%s/%s' due to unexpected error: %v", node.Name, ds.ObjectMeta.Namespace, ds.ObjectMeta.Name, err)
return false, false, false, err
}
// TODO(k82cn): When 'ScheduleDaemonSetPods' upgrade to beta or GA, remove unnecessary check on failure reason,
// e.g. InsufficientResourceError; and simplify "wantToRun, shouldSchedule, shouldContinueRunning"
// into one result, e.g. selectedNode.
var insufficientResourceErr error
for _, r := range reasons {
klog.V(4).Infof("DaemonSet Predicates failed on node %s for ds '%s/%s' for reason: %v", node.Name, ds.ObjectMeta.Namespace, ds.ObjectMeta.Name, r.GetReason())
switch reason := r.(type) {
case *predicates.InsufficientResourceError:
insufficientResourceErr = reason
case *predicates.PredicateFailureError:
var emitEvent bool
// we try to partition predicates into two partitions here: intentional on the part of the operator and not.
switch reason {
// intentional
case
predicates.ErrNodeSelectorNotMatch,
predicates.ErrPodNotMatchHostName,
predicates.ErrNodeLabelPresenceViolated,
// this one is probably intentional since it's a workaround for not having
// pod hard anti affinity.
predicates.ErrPodNotFitsHostPorts:
return false, false, false, nil
case predicates.ErrTaintsTolerationsNotMatch:
// DaemonSet is expected to respect taints and tolerations
fitsNoExecute, _, err := predicates.PodToleratesNodeNoExecuteTaints(newPod, nil, nodeInfo)
if err != nil {
return false, false, false, err
}
if !fitsNoExecute {
return false, false, false, nil
}
wantToRun, shouldSchedule = false, false
// unintentional
case
predicates.ErrDiskConflict,
predicates.ErrVolumeZoneConflict,
predicates.ErrMaxVolumeCountExceeded,
predicates.ErrNodeUnderMemoryPressure,
predicates.ErrNodeUnderDiskPressure:
// wantToRun and shouldContinueRunning are likely true here. They are
// absolutely true at the time of writing the comment. See first comment
// of this method.
shouldSchedule = false
emitEvent = true
// unexpected
case
predicates.ErrPodAffinityNotMatch,
predicates.ErrServiceAffinityViolated:
klog.Warningf("unexpected predicate failure reason: %s", reason.GetReason())
return false, false, false, fmt.Errorf("unexpected reason: DaemonSet Predicates should not return reason %s", reason.GetReason())
default:
klog.V(4).Infof("unknown predicate failure reason: %s", reason.GetReason())
wantToRun, shouldSchedule, shouldContinueRunning = false, false, false
emitEvent = true
}
if emitEvent {
dsc.eventRecorder.Eventf(ds, v1.EventTypeWarning, FailedPlacementReason, "failed to place pod on %q: %s", node.ObjectMeta.Name, reason.GetReason())
}
}
}
// only emit this event if insufficient resource is the only thing
// preventing the daemon pod from scheduling
if shouldSchedule && insufficientResourceErr != nil {
dsc.eventRecorder.Eventf(ds, v1.EventTypeWarning, FailedPlacementReason, "failed to place pod on %q: %s", node.ObjectMeta.Name, insufficientResourceErr.Error())
shouldSchedule = false
}
return
}如果
shouldSchedule && !exists，则会把该Pod加入到nodesNeedingDaemonPods中。如果
shouldContinueRunning && pod.DeletionTimestamp == nil && pod.Status.Phase == v1.PodFailed则检查是否在流控周期（15min, hardcode）中，如果已经超过流控周期，会把该Pod加入到podsToDelete中，否则将再次入队列。如果
shouldContinueRunning && pod.DeletionTimestamp == nil && pod.Status.Phase != v1.PodFailed则会把该Pod加入到daemonPodsRunning中记录着该DamonSet在该Node上正在运行的非Failed的Pods，如果daemonPodsRunning不止一个，则需要按照创建时间排序，将不是最早创建的其他所有DaemonSet Pods都加入到podsToDelete中。
在nodeShouldRunDaemonPod中调用simulate仿真调度返回Pod和Node的匹配结果，根据algorithm.PredicateFailureReason结果知道wantToRun，shouldSchedule,shouldContinueRunning的值。下面我们看看simulate中的调度逻辑。
// Predicates checks if a DaemonSet's pod can be scheduled on a node using GeneralPredicates
// and PodToleratesNodeTaints predicate
func Predicates(pod *v1.Pod, nodeInfo *schedulercache.NodeInfo) (bool, []algorithm.PredicateFailureReason, error) {
var predicateFails []algorithm.PredicateFailureReason
// If ScheduleDaemonSetPods is enabled, only check nodeSelector, nodeAffinity and toleration/taint match.
if utilfeature.DefaultFeatureGate.Enabled(features.ScheduleDaemonSetPods) {
fit, reasons, err := checkNodeFitness(pod, nil, nodeInfo)
if err != nil {
return false, predicateFails, err
}
if !fit {
predicateFails = append(predicateFails, reasons...)
}
return len(predicateFails) == 0, predicateFails, nil
}
critical := kubelettypes.IsCriticalPod(pod)
fit, reasons, err := predicates.PodToleratesNodeTaints(pod, nil, nodeInfo)
if err != nil {
return false, predicateFails, err
}
if !fit {
predicateFails = append(predicateFails, reasons...)
}
if critical {
// If the pod is marked as critical and support for critical pod annotations is enabled,
// check predicates for critical pods only.
fit, reasons, err = predicates.EssentialPredicates(pod, nil, nodeInfo)
} else {
fit, reasons, err = predicates.GeneralPredicates(pod, nil, nodeInfo)
}
if err != nil {
return false, predicateFails, err
}
if !fit {
predicateFails = append(predicateFails, reasons...)
}
return len(predicateFails) == 0, predicateFails, nil
}如果是启用了
ScheduleDaemonSetPodsFeatureGate，则Predicate逻辑如下。这里并没有真正的完成调度，只是做了三个predicate检查，最终的调度还是会交给default scheduler。default scheduler又是如何控制DaemonSet Pod和Node绑定关系的呢，先买个关子。PodFitsHost: 检查Pod.spec.nodeName非空时是否与Node Name匹配；
PodMatchNodeSelector: 检查Pod的NodeSelector和NodeAffinity是否与Node匹配；
PodToleratesNodeTaints: 检查Pod的NoExecute和NoSchedule类型的Toleration是否与Node Taint匹配。
如果是没启用
ScheduleDaemonSetPodsFeatureGate，则Predicate逻辑如下。这里并没有真正的完成调度，只是做了几个predicate检查，最终的调度还是会交给DaemonSet Controller。PodFitsResources:检查Node剩余可分配资源是否能满足Pod请求；
PodFitsHost: 检查Pod.spec.nodeName非空时是否与Node Name匹配；
PodFitsHostPorts: 检查DaemonSet Pods请求的协议&Host端口是否已经被占用；
PodMatchNodeSelector: 检查Pod的NodeSelector和NodeAffinity是否与Node匹配；
PodFitsHost：检查Pod.spec.nodeName非空时是否与Node Name匹配；
PodFitsHostPorts：检查DaemonSet Pods请求的协议&Host端口是否已经被占用；
PodMatchNodeSelector: 检查Pod的NodeSelector和NodeAffinity是否与Node匹配；
PodToleratesNodeTaints：检查Pod的NoExecute和NoSchedule类型的Toleration是否与Node Taint匹配。
如果是Critical DaemonSet Pod，则再进行EssentialPredicates，包括：
如果不是Critical DaemonSet Pod，则再进行GeneralPredicates，
Sync Nodes
前面通过podsShouldBeOnNode得到了nodesNeedingDaemonPods []string, podsToDelete []string, failedPodsObserved int，接下来就该去创建和删除对应的Pods了。
// syncNodes deletes given pods and creates new daemon set pods on the given nodes
// returns slice with erros if any
func (dsc *DaemonSetsController) syncNodes(ds *apps.DaemonSet, podsToDelete, nodesNeedingDaemonPods []string, hash string) error {
// We need to set expectations before creating/deleting pods to avoid race conditions.
dsKey, err := controller.KeyFunc(ds)
if err != nil {
return fmt.Errorf("couldn't get key for object %#v: %v", ds, err)
}
createDiff := len(nodesNeedingDaemonPods)
deleteDiff := len(podsToDelete)
if createDiff > dsc.burstReplicas {
createDiff = dsc.burstReplicas
}
if deleteDiff > dsc.burstReplicas {
deleteDiff = dsc.burstReplicas
}
dsc.expectations.SetExpectations(dsKey, createDiff, deleteDiff)
// error channel to communicate back failures. make the buffer big enough to avoid any blocking
errCh := make(chan error, createDiff+deleteDiff)
klog.V(4).Infof("Nodes needing daemon pods for daemon set %s: %+v, creating %d", ds.Name, nodesNeedingDaemonPods, createDiff)
createWait := sync.WaitGroup{}
// If the returned error is not nil we have a parse error.
// The controller handles this via the hash.
generation, err := util.GetTemplateGeneration(ds)
if err != nil {
generation = nil
}
template := util.CreatePodTemplate(ds.Namespace, ds.Spec.Template, generation, hash)
// Batch the pod creates. Batch sizes start at SlowStartInitialBatchSize
// and double with each successful iteration in a kind of "slow start".
// This handles attempts to start large numbers of pods that would
// likely all fail with the same error. For example a project with a
// low quota that attempts to create a large number of pods will be
// prevented from spamming the API service with the pod create requests
// after one of its pods fails. Conveniently, this also prevents the
// event spam that those failures would generate.
batchSize := integer.IntMin(createDiff, controller.SlowStartInitialBatchSize)
for pos := 0; createDiff > pos; batchSize, pos = integer.IntMin(2*batchSize, createDiff-(pos+batchSize)), pos+batchSize {
errorCount := len(errCh)
createWait.Add(batchSize)
for i := pos; i < pos+batchSize; i++ {
go func(ix int) {
defer createWait.Done()
var err error
podTemplate := &template
if utilfeature.DefaultFeatureGate.Enabled(features.ScheduleDaemonSetPods) {
podTemplate = template.DeepCopy()
// The pod's NodeAffinity will be updated to make sure the Pod is bound
// to the target node by default scheduler. It is safe to do so because there
// should be no conflicting node affinity with the target node.
podTemplate.Spec.Affinity = util.ReplaceDaemonSetPodNodeNameNodeAffinity(
podTemplate.Spec.Affinity, nodesNeedingDaemonPods[ix])
err = dsc.podControl.CreatePodsWithControllerRef(ds.Namespace, podTemplate,
ds, metav1.NewControllerRef(ds, controllerKind))
} else {
err = dsc.podControl.CreatePodsOnNode(nodesNeedingDaemonPods[ix], ds.Namespace, podTemplate,
ds, metav1.NewControllerRef(ds, controllerKind))
}
if err != nil && errors.IsTimeout(err) {
// Pod is created but its initialization has timed out.
// If the initialization is successful eventually, the
// controller will observe the creation via the informer.
// If the initialization fails, or if the pod keeps
// uninitialized for a long time, the informer will not
// receive any update, and the controller will create a new
// pod when the expectation expires.
return
}
if err != nil {
klog.V(2).Infof("Failed creation, decrementing expectations for set %q/%q", ds.Namespace, ds.Name)
dsc.expectations.CreationObserved(dsKey)
errCh <- err
utilruntime.HandleError(err)
}
}(i)
}
createWait.Wait()
// any skipped pods that we never attempted to start shouldn't be expected.
skippedPods := createDiff - batchSize
if errorCount < len(errCh) && skippedPods > 0 {
klog.V(2).Infof("Slow-start failure. Skipping creation of %d pods, decrementing expectations for set %q/%q", skippedPods, ds.Namespace, ds.Name)
for i := 0; i < skippedPods; i++ {
dsc.expectations.CreationObserved(dsKey)
}
// The skipped pods will be retried later. The next controller resync will
// retry the slow start process.
break
}
}
klog.V(4).Infof("Pods to delete for daemon set %s: %+v, deleting %d", ds.Name, podsToDelete, deleteDiff)
deleteWait := sync.WaitGroup{}
deleteWait.Add(deleteDiff)
for i := 0; i < deleteDiff; i++ {
go func(ix int) {
defer deleteWait.Done()
if err := dsc.podControl.DeletePod(ds.Namespace, podsToDelete[ix], ds); err != nil {
klog.V(2).Infof("Failed deletion, decrementing expectations for set %q/%q", ds.Namespace, ds.Name)
dsc.expectations.DeletionObserved(dsKey)
errCh <- err
utilruntime.HandleError(err)
}
}(i)
}
deleteWait.Wait()
// collect errors if any for proper reporting/retry logic in the controller
errors := []error{}
close(errCh)
for err := range errCh {
errors = append(errors, err)
}
return utilerrors.NewAggregate(errors)
}每次删除和创建的最大Pods个数分别为250个。
根据DaemonSet Object构建Pod Template，并且增加/更新以下Tolerations：
node.kubernetes.io/out-of-disk| exist | NoExecutenode.kubernetes.io/out-of-disk| exist | NoSchedulenode.kubernetes.io/not-ready| exist | NoExecutenode.kubernetes.io/unreachable| exist | NoExecutenode.kubernetes.io/disk-pressure| exist | NoSchedulenode.kubernetes.io/memory-pressure| exist | NoSchedulenode.kubernetes.io/unschedulable| exist | NoSchedulenode.kubernetes.io/network-unavailable| exist | NoSchedule如果是Critical Pod，还会增加以下Tolerations：
给Pod加上Label: controller-revision-hash=$DaemonSetControlelrHash
分批的创建DaemonSet Pods（按照1,2,4,8,...的batch size去Create DaemonSet Pods，防止大批量的一次性创建所有DaemonSet Pods时因同样的错误导致失败。对于创建失败的Pods，注意更新expectations中的Adds值，每失败一个就会将expectations.adds值减1。
如果启用了ScheduleDaemonSetPods FeatureGate，则往Pod Tempalete中添加/更新
metadata.name=$NodeName的NodeAffinity。通过这种方式，来实现通过default scheduler来调度DaemonSet Pods的目的。一次性的删除podsToDelete的Pods。
DaemonSet的滚动更新
DaemonSet的滚动更新，跟Deployment的滚动更新略有不同，DaemonSet RollingUpdate只有MaxUnavailable这一个配置项，没有MinAvailable。
// rollingUpdate deletes old daemon set pods making sure that no more than
// ds.Spec.UpdateStrategy.RollingUpdate.MaxUnavailable pods are unavailable
func (dsc *DaemonSetsController) rollingrollingrollingUpdate(ds *apps.DaemonSet, hash string) error {
nodeToDaemonPods, err := dsc.getNodesToDaemonPods(ds)
if err != nil {
return fmt.Errorf("couldn't get node to daemon pod mapping for daemon set %q: %v", ds.Name, err)
}
_, oldPods := dsc.getAllDaemonSetPods(ds, nodeToDaemonPods, hash)
maxUnavailable, numUnavailable, err := dsc.getUnavailableNumbers(ds, nodeToDaemonPods)
if err != nil {
return fmt.Errorf("Couldn't get unavailable numbers: %v", err)
}
oldAvailablePods, oldUnavailablePods := util.SplitByAvailablePods(ds.Spec.MinReadySeconds, oldPods)
// for oldPods delete all not running pods
var oldPodsToDelete []string
klog.V(4).Infof("Marking all unavailable old pods for deletion")
for _, pod := range oldUnavailablePods {
// Skip terminating pods. We won't delete them again
if pod.DeletionTimestamp != nil {
continue
}
klog.V(4).Infof("Marking pod %s/%s for deletion", ds.Name, pod.Name)
oldPodsToDelete = append(oldPodsToDelete, pod.Name)
}
klog.V(4).Infof("Marking old pods for deletion")
for _, pod := range oldAvailablePods {
if numUnavailable >= maxUnavailable {
klog.V(4).Infof("Number of unavailable DaemonSet pods: %d, is equal to or exceeds allowed maximum: %d", numUnavailable, maxUnavailable)
break
}
klog.V(4).Infof("Marking pod %s/%s for deletion", ds.Name, pod.Name)
oldPodsToDelete = append(oldPodsToDelete, pod.Name)
numUnavailable++
}
return dsc.syncNodes(ds, oldPodsToDelete, []string{}, hash)
}根据最新的Hash值选出所有的OldPods；
计算那些
!available及那些期望调度但还没运行的Pods之和，作为numUnavailable。将OldPods分为oldAvailablePods和oldUnavailablePods，将DeletionTimestamp为空的oldUnavailablePods加入到待删除Pods列表（oldPodsToDelete）。
遍历oldAvailablePods，逐个加入到oldPodsToDelete中，直到numUnavailable达到maxUnavailable为止，从oldAvailablePods加入到oldPodsToDelete的Pods最大个数为(maxUnavailable - 1)。
因此，oldPodsToDelete包括所有的DeletionTimestamp为空的oldUnavailablePods及最多(maxUnavailable - 1)个oldAvailablePods。
最后调用syncNodes开始删除oldPodsToDelete中的DaemonSet Pods。
Node更新
Node Add事件很简单，遍历所有DaemonSets对象，调用nodeShouldRunDaemonPod计算出每个DaemonSet是否应该在该Node上启动。如果要启动，则把DaemonSet加入到Queue，由syncDaemonSet进行处理。
对于Node Update事件，需要判断Update的字段等，然后根据情况决定是否要加入到Queue进行syncDaemonSet。
func (dsc *DaemonSetsController) updateNode(old, cur interface{}) {
oldNode := old.(*v1.Node)
curNode := cur.(*v1.Node)
if shouldIgnoreNodeUpdate(*oldNode, *curNode) {
return
}
dsList, err := dsc.dsLister.List(labels.Everything())
if err != nil {
klog.V(4).Infof("Error listing daemon sets: %v", err)
return
}
// TODO: it'd be nice to pass a hint with these enqueues, so that each ds would only examine the added node (unless it has other work to do, too).
for _, ds := range dsList {
_, oldShouldSchedule, oldShouldContinueRunning, err := dsc.nodeShouldRunDaemonPod(oldNode, ds)
if err != nil {
continue
}
_, currentShouldSchedule, currentShouldContinueRunning, err := dsc.nodeShouldRunDaemonPod(curNode, ds)
if err != nil {
continue
}
if (oldShouldSchedule != currentShouldSchedule) || (oldShouldContinueRunning != currentShouldContinueRunning) {
dsc.enqueueDaemonSet(ds)
}
}
}如果Node Condition没有发生变更，则不能忽略该Node变更事件。
除了Node Condition和ResourceVersion之外，如果新旧Node对象不一致，也不能忽略该变更事件。
对于不能忽略的变更，则分别对于oldNode，currentNode调用nodeShouldRunDaemonPod计算ShouldSchedule、ShouldContinueRunning是否一致，只要ShouldSchedule或者ShouldContinueRunning发生变更，则将该DaemonSet Object入队列进入syncDaemonSet进行处理。
DaemonSet Controller主体逻辑
到此，相信大家对“DaemonSet Controller怎么创建和启动”有了更深的了解，不妨来实际操作一番吧！这里是创新互联网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！
文章名称：DaemonSetController怎么创建和启动
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