KubernetesPodGCController怎么配置
本篇内容介绍了“Kubernetes PodGC Controller怎么配置”的有关知识,在实际案例的操作过程中,不少人都会遇到这样的困境,接下来就让小编带领大家学习一下如何处理这些情况吧!希望大家仔细阅读,能够学有所成!
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PodGC Controller配置
关于PodGC Controller的相关配置(kube-controller-manager配置),一共只有两个:
flag | default value | comments |
---|---|---|
--controllers stringSlice | * | 这里配置需要enable的controlllers列表,podgc当然也可以在这里设置是都要enable or disable,默认podgc是在enable列表中的。 |
--terminated-pod-gc-threshold int32 | 12500 | Number of terminated pods that can exist before the terminated pod garbage collector starts deleting terminated pods. If <= 0, the terminated pod garbage collector is disabled. (default 12500) |
PodGC Controller入口
PodGC Controller是在kube-controller-manager Run的时候启动的。CMServer Run时会invoke StartControllers将预先注册的enabled Controllers遍历并逐个启动。
cmd/kube-controller-manager/app/controllermanager.go:180 func Run(s *options.CMServer) error { ... err := StartControllers(newControllerInitializers(), s, rootClientBuilder, clientBuilder, stop) ... }
在newControllerInitializers注册了所有一些常规Controllers
及其对应的start方法,为什么说这些是常规的Controllers呢,因为还有一部分Controllers没在这里进行注册,比如非常重要的service Controller,node Controller等,我把这些称为非常规Controllers
。
func newControllerInitializers() map[string]InitFunc { controllers := map[string]InitFunc{} controllers["endpoint"] = startEndpointController ... controllers["podgc"] = startPodGCController ... return controllers }
因此CMServer最终是invoke startPodGCController来启动PodGC Controller的。
cmd/kube-controller-manager/app/core.go:66 func startPodGCController(ctx ControllerContext) (bool, error) { go podgc.NewPodGC( ctx.ClientBuilder.ClientOrDie("pod-garbage-collector"), ctx.InformerFactory.Core().V1().Pods(), int(ctx.Options.TerminatedPodGCThreshold), ).Run(ctx.Stop) return true, nil }
startPodGCController内容很简单,启动一个goruntine协程,创建PodGC并启动执行。
PodGC Controller的创建
我们先来看看PodGCController的定义。
pkg/controller/podgc/gc_controller.go:44 type PodGCController struct { kubeClient clientset.Interface podLister corelisters.PodLister podListerSynced cache.InformerSynced deletePod func(namespace, name string) error terminatedPodThreshold int }
kubeClient: 用来跟APIServer通信的client。
PodLister: PodLister helps list Pods.
podListerSynced: 用来判断PodLister是否Has Synced。
deletePod: 调用apiserver删除对应pod的接口。
terminatedPodThreshold: 对应
--terminated-pod-gc-threshold
的配置,默认为12500。
pkg/controller/podgc/gc_controller.go:54 func NewPodGC(kubeClient clientset.Interface, podInformer coreinformers.PodInformer, terminatedPodThreshold int) *PodGCController { if kubeClient != nil && kubeClient.Core().RESTClient().GetRateLimiter() != nil { metrics.RegisterMetricAndTrackRateLimiterUsage("gc_controller", kubeClient.Core().RESTClient().GetRateLimiter()) } gcc := &PodGCController{ kubeClient: kubeClient, terminatedPodThreshold: terminatedPodThreshold, deletePod: func(namespace, name string) error { glog.Infof("PodGC is force deleting Pod: %v:%v", namespace, name) return kubeClient.Core().Pods(namespace).Delete(name, metav1.NewDeleteOptions(0)) }, } gcc.podLister = podInformer.Lister() gcc.podListerSynced = podInformer.Informer().HasSynced return gcc }
创建PodGC Controller时其实只是把相关的PodGCController元素进行赋值。注意deletePod方法定义时的参数metav1.NewDeleteOptions(0)
,表示立即删除pod,没有grace period。
PodGC Controller的运行
创建完PodGC Controller后,接下来就是执行Run方法启动执行了。
pkg/controller/podgc/gc_controller.go:73 func (gcc *PodGCController) Run(stop <-chan struct{}) { if !cache.WaitForCacheSync(stop, gcc.podListerSynced) { utilruntime.HandleError(fmt.Errorf("timed out waiting for caches to sync")) return } go wait.Until(gcc.gc, gcCheckPeriod, stop) <-stop }
每100ms都会去检查对应的PodLister是否Has Synced,直到Has Synced。
启动goruntine协程,每执行完一次gcc.gc进行Pod回收后,等待20s,再次执行gcc.gc,直到收到stop信号。
pkg/controller/podgc/gc_controller.go:83 func (gcc *PodGCController) gc() { pods, err := gcc.podLister.List(labels.Everything()) if err != nil { glog.Errorf("Error while listing all Pods: %v", err) return } if gcc.terminatedPodThreshold > 0 { gcc.gcTerminated(pods) } gcc.gcOrphaned(pods) gcc.gcUnscheduledTerminating(pods) }
gcc.gc是最终的pod回收逻辑:
调从PodLister中去除所有的pods(不设置过滤)
如果
terminatedPodThreshold
大于0,则调用gcc.gcTerminated(pods)
回收那些超出Threshold的Pods。调用
gcc.gcOrphaned(pods)
回收Orphaned pods。调用
gcc.gcUnscheduledTerminating(pods)
回收UnscheduledTerminating pods。
注意:
gcTerminated和gcOrphaned,gcUnscheduledTerminating这三个gc都是串行执行的。
gcTerminated删除超出阈值的pods的删除动作是并行的,通过
sync.WaitGroup
等待所有对应的pods删除完成后,gcTerminated才会结束返回,才能开始后面的gcOrphaned.gcOrphaned,gcUnscheduledTerminatin,gcUnscheduledTerminatin内部都是串行gc pods的。
回收那些Terminated的pods
func (gcc *PodGCController) gcTerminated(pods []*v1.Pod) { terminatedPods := []*v1.Pod{} for _, pod := range pods { if isPodTerminated(pod) { terminatedPods = append(terminatedPods, pod) } } terminatedPodCount := len(terminatedPods) sort.Sort(byCreationTimestamp(terminatedPods)) deleteCount := terminatedPodCount - gcc.terminatedPodThreshold if deleteCount > terminatedPodCount { deleteCount = terminatedPodCount } if deleteCount > 0 { glog.Infof("garbage collecting %v pods", deleteCount) } var wait sync.WaitGroup for i := 0; i < deleteCount; i++ { wait.Add(1) go func(namespace string, name string) { defer wait.Done() if err := gcc.deletePod(namespace, name); err != nil { // ignore not founds defer utilruntime.HandleError(err) } }(terminatedPods[i].Namespace, terminatedPods[i].Name) } wait.Wait() }
遍历所有pods,过滤出所有Terminated Pods(Pod.Status.Phase不为Pending, Running, Unknow的Pods).
计算terminated pods数与terminatedPodThreshold的(超出)差值deleteCount。
启动deleteCount数量的goruntine协程,并行调用gcc.deletePod(invoke apiserver's api)方法立刻删除对应的pod。
回收那些Binded的Nodes已经不存在的pods
// gcOrphaned deletes pods that are bound to nodes that don't exist. func (gcc *PodGCController) gcOrphaned(pods []*v1.Pod) { glog.V(4).Infof("GC'ing orphaned") // We want to get list of Nodes from the etcd, to make sure that it's as fresh as possible. nodes, err := gcc.kubeClient.Core().Nodes().List(metav1.ListOptions{}) if err != nil { return } nodeNames := sets.NewString() for i := range nodes.Items { nodeNames.Insert(nodes.Items[i].Name) } for _, pod := range pods { if pod.Spec.NodeName == "" { continue } if nodeNames.Has(pod.Spec.NodeName) { continue } glog.V(2).Infof("Found orphaned Pod %v assigned to the Node %v. Deleting.", pod.Name, pod.Spec.NodeName) if err := gcc.deletePod(pod.Namespace, pod.Name); err != nil { utilruntime.HandleError(err) } else { glog.V(0).Infof("Forced deletion of orphaned Pod %s succeeded", pod.Name) } } }
gcOrphaned用来删除那些bind的node已经不存在的pods。
调用apiserver接口,获取所有的Nodes。
遍历所有pods,如果pod bind的NodeName不为空且不包含在刚刚获取的所有Nodes中,则串行逐个调用gcc.deletePod删除对应的pod。
回收Unscheduled并且Terminating的pods
pkg/controller/podgc/gc_controller.go:167 // gcUnscheduledTerminating deletes pods that are terminating and haven't been scheduled to a particular node. func (gcc *PodGCController) gcUnscheduledTerminating(pods []*v1.Pod) { glog.V(4).Infof("GC'ing unscheduled pods which are terminating.") for _, pod := range pods { if pod.DeletionTimestamp == nil || len(pod.Spec.NodeName) > 0 { continue } glog.V(2).Infof("Found unscheduled terminating Pod %v not assigned to any Node. Deleting.", pod.Name) if err := gcc.deletePod(pod.Namespace, pod.Name); err != nil { utilruntime.HandleError(err) } else { glog.V(0).Infof("Forced deletion of unscheduled terminating Pod %s succeeded", pod.Name) } } }
gcUnscheduledTerminating删除那些terminating并且还没调度到某个node的pods。
遍历所有pods,过滤那些terminating(
pod.DeletionTimestamp != nil
)并且未调度成功的(pod.Spec.NodeName为空)的pods。串行逐个调用gcc.deletePod删除对应的pod。
“Kubernetes PodGC Controller怎么配置”的内容就介绍到这里了,感谢大家的阅读。如果想了解更多行业相关的知识可以关注创新互联网站,小编将为大家输出更多高质量的实用文章!
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