這篇文章主要介紹“Daemonset Controller對Critical Pod的特殊處理是什么”,在日常操作中,相信很多人在Daemonset Controller對Critical Pod的特殊處理是什么問題上存在疑惑,小編查閱了各式資料,整理出簡單好用的操作方法,希望對大家解答”Daemonset Controller對Critical Pod的特殊處理是什么”的疑惑有所幫助!接下來,請跟著小編一起來學習吧!
在DaemonSetController判斷某個node上是否要運行某個DaemonSet時,會調用DaemonSetsController.simulate來分析PredicateFailureReason。
pkg/controller/daemon/daemon_controller.go:1206
func (dsc *DaemonSetsController) simulate(newPod *v1.Pod, node *v1.Node, ds *apps.DaemonSet) ([]algorithm.PredicateFailureReason, *schedulercache.NodeInfo, error) {
// DaemonSet pods shouldn't be deleted by NodeController in case of node problems.
// Add infinite toleration for taint notReady:NoExecute here
// to survive taint-based eviction enforced by NodeController
// when node turns not ready.
v1helper.AddOrUpdateTolerationInPod(newPod, &v1.Toleration{
Key: algorithm.TaintNodeNotReady,
Operator: v1.TolerationOpExists,
Effect: v1.TaintEffectNoExecute,
})
// DaemonSet pods shouldn't be deleted by NodeController in case of node problems.
// Add infinite toleration for taint unreachable:NoExecute here
// to survive taint-based eviction enforced by NodeController
// when node turns unreachable.
v1helper.AddOrUpdateTolerationInPod(newPod, &v1.Toleration{
Key: algorithm.TaintNodeUnreachable,
Operator: v1.TolerationOpExists,
Effect: v1.TaintEffectNoExecute,
})
// According to TaintNodesByCondition, all DaemonSet pods should tolerate
// MemoryPressure and DisPressure taints, and the critical pods should tolerate
// OutOfDisk taint additional.
v1helper.AddOrUpdateTolerationInPod(newPod, &v1.Toleration{
Key: algorithm.TaintNodeDiskPressure,
Operator: v1.TolerationOpExists,
Effect: v1.TaintEffectNoSchedule,
})
v1helper.AddOrUpdateTolerationInPod(newPod, &v1.Toleration{
Key: algorithm.TaintNodeMemoryPressure,
Operator: v1.TolerationOpExists,
Effect: v1.TaintEffectNoSchedule,
})
// TODO(#48843) OutOfDisk taints will be removed in 1.10
if utilfeature.DefaultFeatureGate.Enabled(features.ExperimentalCriticalPodAnnotation) &&
kubelettypes.IsCriticalPod(newPod) {
v1helper.AddOrUpdateTolerationInPod(newPod, &v1.Toleration{
Key: algorithm.TaintNodeOutOfDisk,
Operator: v1.TolerationOpExists,
Effect: v1.TaintEffectNoSchedule,
})
}
...
_, reasons, err := Predicates(newPod, nodeInfo)
return reasons, nodeInfo, err
}DeamonSetController會給Pod添加以下Toleratoins,防止Node出現以下Conditions被Node Controller Taint-based eviction殺死。
NotReady:NoExecute
Unreachable:NoExecute
MemoryPressure:NoSchedule
DisPressure:NoSchedule
當ExperimentalCriticalPodAnnotation Feature Gate Enable,并且該Pod是CriticalPod時,還會給該Pod加上OutOfDisk:NoSchedule Toleration。
在simulate中,還會像類似scheduler一樣,進行Predicates處理。Predicates過程中也對CriticalPod做了區分對待。
pkg/controller/daemon/daemon_controller.go:1413
// 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 and nodeAffinity.
if false /*disabled for 1.10*/ && utilfeature.DefaultFeatureGate.Enabled(features.ScheduleDaemonSetPods) {
fit, reasons, err := nodeSelectionPredicates(pod, nil, nodeInfo)
if err != nil {
return false, predicateFails, err
}
if !fit {
predicateFails = append(predicateFails, reasons...)
}
return len(predicateFails) == 0, predicateFails, nil
}
critical := utilfeature.DefaultFeatureGate.Enabled(features.ExperimentalCriticalPodAnnotation) &&
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CriticalPod,調用predicates.EssentialPredicates,否則調用predicates.GeneralPredicates。
這里的GeneralPredicates與EssentialPredicates有何不同呢?其實GeneralPredicates就是比EssentialPredicates多了noncriticalPredicates處理,也就是Scheduler的Predicate中的PodFitsResources。
pkg/scheduler/algorithm/predicates/predicates.go:1076
// noncriticalPredicates are the predicates that only non-critical pods need
func noncriticalPredicates(pod *v1.Pod, meta algorithm.PredicateMetadata, nodeInfo *schedulercache.NodeInfo) (bool, []algorithm.PredicateFailureReason, error) {
var predicateFails []algorithm.PredicateFailureReason
fit, reasons, err := PodFitsResources(pod, meta, nodeInfo)
if err != nil {
return false, predicateFails, err
}
if !fit {
predicateFails = append(predicateFails, reasons...)
}
return len(predicateFails) == 0, predicateFails, nil
}因此,對于CriticalPod,DeamonSetController進行Predicate時不會進行PodFitsResources檢查。
在Kubernetes 1.11中,很重要的個更新就是,Priority和Preemption從alpha升級為Beta了,并且是Enabled by default。
| Kubernetes Version | Priority and Preemption State | Enabled by default |
|---|---|---|
| 1.8 | alpha | no |
| 1.9 | alpha | no |
| 1.10 | alpha | no |
| 1.11 | beta | yes |
PriorityClass是屬于scheduling.k8s.io/v1alpha1GroupVersion的,在client提交創建PriorityClass請求后,寫入etcd前,會進行合法性檢查(Validate),這其中就有對SystemClusterCritical和SystemNodeCritical兩個PriorityClass的特殊對待。
pkg/apis/scheduling/validation/validation.go:30
// ValidatePriorityClass tests whether required fields in the PriorityClass are
// set correctly.
func ValidatePriorityClass(pc *scheduling.PriorityClass) field.ErrorList {
...
// If the priorityClass starts with a system prefix, it must be one of the
// predefined system priority classes.
if strings.HasPrefix(pc.Name, scheduling.SystemPriorityClassPrefix) {
if is, err := scheduling.IsKnownSystemPriorityClass(pc); !is {
allErrs = append(allErrs, field.Forbidden(field.NewPath("metadata", "name"), "priority class names with '"+scheduling.SystemPriorityClassPrefix+"' prefix are reserved for system use only. error: "+err.Error()))
}
}
...
return allErrs
}
// IsKnownSystemPriorityClass checks that "pc" is equal to one of the system PriorityClasses.
// It ignores "description", labels, annotations, etc. of the PriorityClass.
func IsKnownSystemPriorityClass(pc *PriorityClass) (bool, error) {
for _, spc := range systemPriorityClasses {
if spc.Name == pc.Name {
if spc.Value != pc.Value {
return false, fmt.Errorf("value of %v PriorityClass must be %v", spc.Name, spc.Value)
}
if spc.GlobalDefault != pc.GlobalDefault {
return false, fmt.Errorf("globalDefault of %v PriorityClass must be %v", spc.Name, spc.GlobalDefault)
}
return true, nil
}
}
return false, fmt.Errorf("%v is not a known system priority class", pc.Name)
}PriorityClass的Validate時,如果PriorityClass's Name是以**system-**為前綴的,那么必須是system-cluster-critical或者system-node-critical之一。否則就會Validate Error,拒絕提交。
如果提交的PriorityClass's Name為system-cluster-critical或者system-node-critical,那么要求globalDefault必須為false,即system-cluster-critical或者system-node-critical不能是全局默認的PriorityClass。
另外,在PriorityClass進行Update時,目前是不允許其Name和Value的,也就是說只能更新Description和globalDefault。
pkg/apis/scheduling/helpers.go:27
// SystemPriorityClasses define system priority classes that are auto-created at cluster bootstrapping.
// Our API validation logic ensures that any priority class that has a system prefix or its value
// is higher than HighestUserDefinablePriority is equal to one of these SystemPriorityClasses.
var systemPriorityClasses = []*PriorityClass{
{
ObjectMeta: metav1.ObjectMeta{
Name: SystemNodeCritical,
},
Value: SystemCriticalPriority + 1000,
Description: "Used for system critical pods that must not be moved from their current node.",
},
{
ObjectMeta: metav1.ObjectMeta{
Name: SystemClusterCritical,
},
Value: SystemCriticalPriority,
Description: "Used for system critical pods that must run in the cluster, but can be moved to another node if necessary.",
},
}到此,關于“Daemonset Controller對Critical Pod的特殊處理是什么”的學習就結束了,希望能夠解決大家的疑惑。理論與實踐的搭配能更好的幫助大家學習,快去試試吧!若想繼續學習更多相關知識,請繼續關注億速云網站,小編會繼續努力為大家帶來更多實用的文章!
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