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KubeletPLEG怎么创建
这篇文章主要讲解了“Kubelet PLEG怎么创建”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“Kubelet PLEG怎么创建”吧！
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NewMainKubelet --> New GenericPLEG
Q: GenericPLEG在哪里创建的？
A: 同其他Manager类似，PLEG在kubelet调用NewMainKubelet进行初始化时创建的。
// Capacity of the channel for receiving pod lifecycle events. This number
// is a bit arbitrary and may be adjusted in the future.
plegChannelCapacity = 1000
// Generic PLEG relies on relisting for discovering container events.
// A longer period means that kubelet will take longer to detect container
// changes and to update pod status. On the other hand, a shorter period
// will cause more frequent relisting (e.g., container runtime operations),
// leading to higher cpu usage.
// Note that even though we set the period to 1s, the relisting itself can
// take more than 1s to finish if the container runtime responds slowly
// and/or when there are many container changes in one cycle.
plegRelistPeriod = time.Second * 1
pkg/kubelet/kubelet.go:692
func NewMainKubelet(...) (*Kubelet, error) {
...
klet.pleg = pleg.NewGenericPLEG(klet.containerRuntime, plegChannelCapacity, plegRelistPeriod, klet.podCache, clock.RealClock{})
...
} 通过调用pleg.NewGenericPLEG完成创建；
plegChannelCapacity是存放PodLifecycleEvent的channel容量，不可配，写死为1000；
PLEG relist进行循环检查的间隔，不可配，写死为1s；
下面是GenericPLEG的结构体定义：
pkg/kubelet/pleg/generic.go:49
// GenericPLEG is an extremely simple generic PLEG that relies solely on
// periodic listing to discover container changes. It should be used
// as temporary replacement for container runtimes do not support a proper
// event generator yet.
//
// Note that GenericPLEG assumes that a container would not be created,
// terminated, and garbage collected within one relist period. If such an
// incident happens, GenenricPLEG would miss all events regarding this
// container. In the case of relisting failure, the window may become longer.
// Note that this assumption is not unique -- many kubelet internal components
// rely on terminated containers as tombstones for bookkeeping purposes. The
// garbage collector is implemented to work with such situations. However, to
// guarantee that kubelet can handle missing container events, it is
// recommended to set the relist period short and have an auxiliary, longer
// periodic sync in kubelet as the safety net.
type GenericPLEG struct {
// The period for relisting.
relistPeriod time.Duration
// The container runtime.
runtime kubecontainer.Runtime
// The channel from which the subscriber listens events.
eventChannel chan *PodLifecycleEvent
// The internal cache for pod/container information.
podRecords podRecords
// Time of the last relisting.
relistTime atomic.Value
// Cache for storing the runtime states required for syncing pods.
cache kubecontainer.Cache
// For testability.
clock clock.Clock
// Pods that failed to have their status retrieved during a relist. These pods will be
// retried during the next relisting.
podsToReinspect map[types.UID]*kubecontainer.Pod
}eventChannel: PLEG产生的PodLifecycleEvent要发送的Channel；
podRecords: map[types.UID]*podRecord，其中key为PodID，value为podRecord：
type podRecord struct { old *kubecontainer.Pod current *kubecontainer.Pod }cache: kubecontainer.Cache,是记录kubelet存放的PodStatus及PodLifecycleEvent的subscribers
kubelet podworkers是subscriber。
podsToReinspect: map[types.UID]*kubecontainer.Pod，用于保存那些relist失败的pods，待下次relist时会去遍历podsToReinspect中的Pods再次update cache;
updateCache会inspect pod并更新cache，如果inspect pod失败，则会被加入到podsToReinspect中；
Kubelet.Run --> PLEG.Start
Q: 在kubelet初始化时完成了PLEG的创建，那么合适启动的PLEG呢？
A: kubelet Run方法中会启动大量managers，PLEG的启动也在此时。
pkg/kubelet/kubelet.go:1326
// Run starts the kubelet reacting to config updates
func (kl *Kubelet) Run(updates <-chan kubetypes.PodUpdate) {
if kl.logServer == nil {
kl.logServer = http.StripPrefix("/logs/", http.FileServer(http.Dir("/var/log/")))
}
if kl.kubeClient == nil {
glog.Warning("No api server defined - no node status update will be sent.")
}
// Start the cloud provider sync manager
if kl.cloudResourceSyncManager != nil {
go kl.cloudResourceSyncManager.Run(wait.NeverStop)
}
if err := kl.initializeModules(); err != nil {
kl.recorder.Eventf(kl.nodeRef, v1.EventTypeWarning, events.KubeletSetupFailed, err.Error())
glog.Fatal(err)
}
// Start volume manager
go kl.volumeManager.Run(kl.sourcesReady, wait.NeverStop)
if kl.kubeClient != nil {
// Start syncing node status immediately, this may set up things the runtime needs to run.
go wait.Until(kl.syncNodeStatus, kl.nodeStatusUpdateFrequency, wait.NeverStop)
}
go wait.Until(kl.updateRuntimeUp, 5*time.Second, wait.NeverStop)
// Start loop to sync iptables util rules
if kl.makeIPTablesUtilChains {
go wait.Until(kl.syncNetworkUtil, 1*time.Minute, wait.NeverStop)
}
// Start a goroutine responsible for killing pods (that are not properly
// handled by pod workers).
go wait.Until(kl.podKiller, 1*time.Second, wait.NeverStop)
// Start component sync loops.
kl.statusManager.Start()
kl.probeManager.Start()
// Start the pod lifecycle event generator.
kl.pleg.Start()
kl.syncLoop(updates, kl)
}在kubelet开始syncLoop前启动PLEG；
PLEG Start
PLEG Start就是启动一个协程，每个relistPeriod(1s)就调用一次relist，根据最新的PodStatus生成PodLiftCycleEvent。
pkg/kubelet/pleg/generic.go:130
// Start spawns a goroutine to relist periodically.
func (g *GenericPLEG) Start() {
go wait.Until(g.relist, g.relistPeriod, wait.NeverStop)
}PLEG relist
relist是PLEG的核心，它从container runtime中查询属于kubelet管理的containers/sandboxes的信息，生成最新的PodStatus，然后对比podRecords中记录的Old PodStatus生成PodLifeCycleEvents，并发送到PLE Channel。
pkg/kubelet/pleg/generic.go:183
// relist queries the container runtime for list of pods/containers, compare
// with the internal pods/containers, and generates events accordingly.
func (g *GenericPLEG) relist() {
glog.V(5).Infof("GenericPLEG: Relisting")
if lastRelistTime := g.getRelistTime(); !lastRelistTime.IsZero() {
metrics.PLEGRelistInterval.Observe(metrics.SinceInMicroseconds(lastRelistTime))
}
timestamp := g.clock.Now()
defer func() {
metrics.PLEGRelistLatency.Observe(metrics.SinceInMicroseconds(timestamp))
}()
// Get all the pods.
podList, err := g.runtime.GetPods(true)
if err != nil {
glog.Errorf("GenericPLEG: Unable to retrieve pods: %v", err)
return
}
g.updateRelistTime(timestamp)
pods := kubecontainer.Pods(podList)
g.podRecords.setCurrent(pods)
// Compare the old and the current pods, and generate events.
eventsByPodID := map[types.UID][]*PodLifecycleEvent{}
for pid := range g.podRecords {
oldPod := g.podRecords.getOld(pid)
pod := g.podRecords.getCurrent(pid)
// Get all containers in the old and the new pod.
allContainers := getContainersFromPods(oldPod, pod)
for _, container := range allContainers {
events := computeEvents(oldPod, pod, &container.ID)
for _, e := range events {
updateEvents(eventsByPodID, e)
}
}
}
var needsReinspection map[types.UID]*kubecontainer.Pod
if g.cacheEnabled() {
needsReinspection = make(map[types.UID]*kubecontainer.Pod)
}
// If there are events associated with a pod, we should update the
// podCache.
for pid, events := range eventsByPodID {
pod := g.podRecords.getCurrent(pid)
if g.cacheEnabled() {
// updateCache() will inspect the pod and update the cache. If an
// error occurs during the inspection, we want PLEG to retry again
// in the next relist. To achieve this, we do not update the
// associated podRecord of the pod, so that the change will be
// detect again in the next relist.
// TODO: If many pods changed during the same relist period,
// inspecting the pod and getting the PodStatus to update the cache
// serially may take a while. We should be aware of this and
// parallelize if needed.
if err := g.updateCache(pod, pid); err != nil {
glog.Errorf("PLEG: Ignoring events for pod %s/%s: %v", pod.Name, pod.Namespace, err)
// make sure we try to reinspect the pod during the next relisting
needsReinspection[pid] = pod
continue
} else if _, found := g.podsToReinspect[pid]; found {
// this pod was in the list to reinspect and we did so because it had events, so remove it
// from the list (we don't want the reinspection code below to inspect it a second time in
// this relist execution)
delete(g.podsToReinspect, pid)
}
}
// Update the internal storage and send out the events.
g.podRecords.update(pid)
for i := range events {
// Filter out events that are not reliable and no other components use yet.
if events[i].Type == ContainerChanged {
continue
}
g.eventChannel <- events[i]
}
}
if g.cacheEnabled() {
// reinspect any pods that failed inspection during the previous relist
if len(g.podsToReinspect) > 0 {
glog.V(5).Infof("GenericPLEG: Reinspecting pods that previously failed inspection")
for pid, pod := range g.podsToReinspect {
if err := g.updateCache(pod, pid); err != nil {
glog.Errorf("PLEG: pod %s/%s failed reinspection: %v", pod.Name, pod.Namespace, err)
needsReinspection[pid] = pod
}
}
}
// Update the cache timestamp. This needs to happen *after*
// all pods have been properly updated in the cache.
g.cache.UpdateTime(timestamp)
}
// make sure we retain the list of pods that need reinspecting the next time relist is called
g.podsToReinspect = needsReinspection
}通过runtime获取所有本机所有PodList，并设置给podRecord的Current Pods；
聚合Current和Old Pods中的所有Containers进行遍历，根据CurrentPod,OldPod,ConainerID生成PodLifecycleEvents；
pkg/kubelet/pleg/generic.go:317
func computeEvents(oldPod, newPod *kubecontainer.Pod, cid *kubecontainer.ContainerID) []*PodLifecycleEvent {
var pid types.UID
if oldPod != nil {
pid = oldPod.ID
} else if newPod != nil {
pid = newPod.ID
}
oldState := getContainerState(oldPod, cid)
newState := getContainerState(newPod, cid)
return generateEvents(pid, cid.ID, oldState, newState)
}
pkg/kubelet/pleg/generic.go:143
func generateEvents(podID types.UID, cid string, oldState, newState plegContainerState) []*PodLifecycleEvent {
if newState == oldState {
return nil
}
glog.V(4).Infof("GenericPLEG: %v/%v: %v -> %v", podID, cid, oldState, newState)
switch newState {
case plegContainerRunning:
return []*PodLifecycleEvent{{ID: podID, Type: ContainerStarted, Data: cid}}
case plegContainerExited:
return []*PodLifecycleEvent{{ID: podID, Type: ContainerDied, Data: cid}}
case plegContainerUnknown:
return []*PodLifecycleEvent{{ID: podID, Type: ContainerChanged, Data: cid}}
case plegContainerNonExistent:
switch oldState {
case plegContainerExited:
// We already reported that the container died before.
return []*PodLifecycleEvent{{ID: podID, Type: ContainerRemoved, Data: cid}}
default:
return []*PodLifecycleEvent{{ID: podID, Type: ContainerDied, Data: cid}, {ID: podID, Type: ContainerRemoved, Data: cid}}
}
default:
panic(fmt.Sprintf("unrecognized container state: %v", newState))
}
}New/Old plegContainerState与PodLifecycleEvent的映射关系如下图：
遍历生成的PodLifecycleEvents，调用updateCache：
通过runtime查询当前PodStatus（包括Pod对应的所有containerStatues，sandboxStatuses）；
将PodStatus更新到cache中；
如果updateCache失败，则将该Pod重新加入到podsToReinspect，待下次relist时会遍历podsToReinspect中的Pods，再次调用updateCache。
如果updateCache成功，则检查该Pod是否已经在podsToReinspect中，如果存在，则从podsToReinspect中删除给Pod；
uodateCache成功后，更新podRecords（Current赋值给Old，Current设为nil），并将非ContainerChanged类型的PodLifecycleEvent发送到eventChannel中；
ContainerChanged类型的Event已经被Disabled；
遍历podsToReinspect中的Pods，调用updateCache更新cache，如果updateCache失败，则仍然重新放回到podsToReinspect中待下次relist。
Kubelet SycnLoop
Q: PodLifecycleEvent是发送到eventChannel了了，谁拿去用了呢？
A: kubelet syncLoop!!!
kubelet syncLoop是kubelet来维护Pod状态的核心逻辑，每次sync都会检查Pod的状态并进行修复。
func (kl *Kubelet) syncLoop(updates <-chan kubetypes.PodUpdate, handler SyncHandler) {
glog.Info("Starting kubelet main sync loop.")
// The resyncTicker wakes up kubelet to checks if there are any pod workers
// that need to be sync'd. A one-second period is sufficient because the
// sync interval is defaulted to 10s.
syncTicker := time.NewTicker(time.Second)
defer syncTicker.Stop()
housekeepingTicker := time.NewTicker(housekeepingPeriod)
defer housekeepingTicker.Stop()
plegCh := kl.pleg.Watch()
const (
base = 100 * time.Millisecond
max = 5 * time.Second
factor = 2
)
duration := base
for {
if rs := kl.runtimeState.runtimeErrors(); len(rs) != 0 {
glog.Infof("skipping pod synchronization - %v", rs)
// exponential backoff
time.Sleep(duration)
duration = time.Duration(math.Min(float64(max), factor*float64(duration)))
continue
}
// reset backoff if we have a success
duration = base
kl.syncLoopMonitor.Store(kl.clock.Now())
if !kl.syncLoopIteration(updates, handler, syncTicker.C, housekeepingTicker.C, plegCh) {
break
}
kl.syncLoopMonitor.Store(kl.clock.Now())
}
}syncLoop调用pleg.Watch()返回PodLifecycleEvent Channel。
syncLoop中死循环的调用syncLoopIteration进行每次迭代修复。
syncLoopIteration方法中一个重要的参数就是pleg channel，syncLoopIteration会从pleg channel中获取PodLifecycleEvent进行消费。
pkg/kubelet/kubelet.go:1796
func (kl *Kubelet) syncLoopIteration(configCh <-chan kubetypes.PodUpdate, handler SyncHandler,
syncCh <-chan time.Time, housekeepingCh <-chan time.Time, plegCh <-chan *pleg.PodLifecycleEvent) bool {
select {
case u, open := <-configCh:
...
case e := <-plegCh:
if isSyncPodWorthy(e) {
// PLEG event for a pod; sync it.
if pod, ok := kl.podManager.GetPodByUID(e.ID); ok {
glog.V(2).Infof("SyncLoop (PLEG): %q, event: %#v", format.Pod(pod), e)
handler.HandlePodSyncs([]*v1.Pod{pod})
} else {
// If the pod no longer exists, ignore the event.
glog.V(4).Infof("SyncLoop (PLEG): ignore irrelevant event: %#v", e)
}
}
if e.Type == pleg.ContainerDied {
if containerID, ok := e.Data.(string); ok {
kl.cleanUpContainersInPod(e.ID, containerID)
}
}
case <-syncCh:
...
case update := <-kl.livenessManager.Updates():
...
case <-housekeepingCh:
...
return true
}syncLoopIteration会从config channel, pleg channel, sync channel, housekeeping channel中获取信息，然后就行消费。我们主要看pleg channel的分支：
如果**
eventType != ContainerRemoved**，那么会根据event中PodID从pod manager中获取Pod对象；然后嗲都用handler.HandlePodSyncs将该pod dispatchWork到对应的pod worker进行UpdatePod操作；
podWorkers.UpdatePod会封装UpdatePodOptions对象并发送到UpdatePodOptions Channel；
kubelet syncPod从UpdatePodOptions Channel中获取UpdatePodOptions对象进行Pod sync操作；
如果**
eventType == ContainerDied**，则从event.Data中获取containerID；如果enable了CPU Manager Policy，那么先通过internalLifecycle.PostStopContainer调用CPU Manager对该Container占用的cpus进行释放；
然后调用KubeGenericRuntimeManager.removeContainerLog将
/var/logs/containrs/及/var/log/pods/中对应该containerID的log删除；最后调用docker删除该container。
然后调用cleanUpContainersInPod将ContainerID发动到podContainerDeletor Channel；
Kubelet podContainerDeletor负责消费podContainerDeletor Channel中的ContainerID；
podContainerDeletor调用KubeGenericRuntimeManager.removeContainer启动容器remove流程：
Q: kubelet如何过滤本机containers中非k8s管理的container？
A: kubelet通过以下Label Filter找出k8s管理的container sandbox
"io.kubernetes.docker.type": "container"
Q: kubelet是如何关联Pod和Container的？
A: 通过给container打上如下Label，标识对应的Pod
"io.kubernetes.pod.name": "xxx"
"io.kubernetes.pod.uid": "xxxxxx"
Q: kubelet管理的container，都打了哪些Label?
A: Sample如下：
"annotation.io.kubernetes.container.hash": "b7c1651a",
"annotation.io.kubernetes.container.ports": "[{\"name\":\"web\",\"containerPort\":80,\"protocol\":\"TCP\"}]",
"annotation.io.kubernetes.container.restartCount": "0",
"annotation.io.kubernetes.container.terminationMessagePath": "/dev/termination-log",
"annotation.io.kubernetes.container.terminationMessagePolicy": "File",
"annotation.io.kubernetes.pod.terminationGracePeriod": "10",
"io.kubernetes.container.logpath": "/var/log/pods/381f8cc6-d84a-11e8-b596-5254000a5151/nginx/0.log",
"io.kubernetes.container.name": "nginx",
"io.kubernetes.docker.type": "container",
"io.kubernetes.pod.name": "web-0",
"io.kubernetes.pod.namespace": "default",
"io.kubernetes.pod.uid": "381f8cc6-d84a-11e8-b596-5254000a5151",
"io.kubernetes.sandbox.id": "cc3be54bf8e9bd386423d23eaccfd2f05e8be2156d60f933791a25c261c8d8a8"PLEG Core Logic Diagram
注: 绿色图块表示与PLEG有交互的kubelet模块。
感谢各位的阅读，以上就是“Kubelet PLEG怎么创建”的内容了，经过本文的学习后，相信大家对Kubelet PLEG怎么创建这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是创新互联，小编将为大家推送更多相关知识点的文章，欢迎关注！
文章标题：KubeletPLEG怎么创建
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