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generic_scheduler.go
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generic_scheduler.go
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/*
Copyright 2014 The Kubernetes Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package core
import (
"context"
"fmt"
"math"
"sort"
"strings"
"sync"
"sync/atomic"
"time"
"k8s.io/klog"
"k8s.io/api/core/v1"
policy "k8s.io/api/policy/v1beta1"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/labels"
"k8s.io/apimachinery/pkg/util/errors"
corelisters "k8s.io/client-go/listers/core/v1"
"k8s.io/client-go/util/workqueue"
"k8s.io/kubernetes/pkg/scheduler/algorithm"
"k8s.io/kubernetes/pkg/scheduler/algorithm/predicates"
"k8s.io/kubernetes/pkg/scheduler/algorithm/priorities"
schedulerapi "k8s.io/kubernetes/pkg/scheduler/api"
schedulerinternalcache "k8s.io/kubernetes/pkg/scheduler/internal/cache"
internalqueue "k8s.io/kubernetes/pkg/scheduler/internal/queue"
"k8s.io/kubernetes/pkg/scheduler/metrics"
schedulernodeinfo "k8s.io/kubernetes/pkg/scheduler/nodeinfo"
pluginsv1alpha1 "k8s.io/kubernetes/pkg/scheduler/plugins/v1alpha1"
"k8s.io/kubernetes/pkg/scheduler/util"
"k8s.io/kubernetes/pkg/scheduler/volumebinder"
utiltrace "k8s.io/utils/trace"
)
const (
// minFeasibleNodesToFind is the minimum number of nodes that would be scored
// in each scheduling cycle. This is a semi-arbitrary value to ensure that a
// certain minimum of nodes are checked for feasibility. This in turn helps
// ensure a minimum level of spreading.
minFeasibleNodesToFind = 100
// minFeasibleNodesPercentageToFind is the minimum percentage of nodes that
// would be scored in each scheduling cycle. This is a semi-arbitrary value
// to ensure that a certain minimum of nodes are checked for feasibility.
// This in turn helps ensure a minimum level of spreading.
minFeasibleNodesPercentageToFind = 5
)
// FailedPredicateMap declares a map[string][]algorithm.PredicateFailureReason type.
type FailedPredicateMap map[string][]predicates.PredicateFailureReason
// FitError describes a fit error of a pod.
type FitError struct {
Pod *v1.Pod
NumAllNodes int
FailedPredicates FailedPredicateMap
}
// ErrNoNodesAvailable is used to describe the error that no nodes available to schedule pods.
var ErrNoNodesAvailable = fmt.Errorf("no nodes available to schedule pods")
const (
// NoNodeAvailableMsg is used to format message when no nodes available.
NoNodeAvailableMsg = "0/%v nodes are available"
)
// Error returns detailed information of why the pod failed to fit on each node
func (f *FitError) Error() string {
reasons := make(map[string]int)
for _, predicates := range f.FailedPredicates {
for _, pred := range predicates {
reasons[pred.GetReason()]++
}
}
sortReasonsHistogram := func() []string {
reasonStrings := []string{}
for k, v := range reasons {
reasonStrings = append(reasonStrings, fmt.Sprintf("%v %v", v, k))
}
sort.Strings(reasonStrings)
return reasonStrings
}
reasonMsg := fmt.Sprintf(NoNodeAvailableMsg+": %v.", f.NumAllNodes, strings.Join(sortReasonsHistogram(), ", "))
return reasonMsg
}
// ScheduleAlgorithm is an interface implemented by things that know how to schedule pods
// onto machines.
// TODO: Rename this type.
type ScheduleAlgorithm interface {
Schedule(*v1.Pod, algorithm.NodeLister) (scheduleResult ScheduleResult, err error)
// Preempt receives scheduling errors for a pod and tries to create room for
// the pod by preempting lower priority pods if possible.
// It returns the node where preemption happened, a list of preempted pods, a
// list of pods whose nominated node name should be removed, and error if any.
Preempt(*v1.Pod, algorithm.NodeLister, error) (selectedNode *v1.Node, preemptedPods []*v1.Pod, cleanupNominatedPods []*v1.Pod, err error)
// Predicates() returns a pointer to a map of predicate functions. This is
// exposed for testing.
Predicates() map[string]predicates.FitPredicate
// Prioritizers returns a slice of priority config. This is exposed for
// testing.
Prioritizers() []priorities.PriorityConfig
}
// ScheduleResult represents the result of one pod scheduled. It will contain
// the final selected Node, along with the selected intermediate information.
type ScheduleResult struct {
// Name of the scheduler suggest host
SuggestedHost string
// Number of nodes scheduler evaluated on one pod scheduled
EvaluatedNodes int
// Number of feasible nodes on one pod scheduled
FeasibleNodes int
}
type genericScheduler struct {
cache schedulerinternalcache.Cache
schedulingQueue internalqueue.SchedulingQueue
predicates map[string]predicates.FitPredicate
priorityMetaProducer priorities.PriorityMetadataProducer
predicateMetaProducer predicates.PredicateMetadataProducer
prioritizers []priorities.PriorityConfig
pluginSet pluginsv1alpha1.PluginSet
extenders []algorithm.SchedulerExtender
lastNodeIndex uint64
alwaysCheckAllPredicates bool
nodeInfoSnapshot schedulerinternalcache.NodeInfoSnapshot
volumeBinder *volumebinder.VolumeBinder
pvcLister corelisters.PersistentVolumeClaimLister
pdbLister algorithm.PDBLister
disablePreemption bool
percentageOfNodesToScore int32
}
// snapshot snapshots scheduler cache and node infos for all fit and priority
// functions.
func (g *genericScheduler) snapshot() error {
// Used for all fit and priority funcs.
return g.cache.UpdateNodeInfoSnapshot(&g.nodeInfoSnapshot)
}
// Schedule tries to schedule the given pod to one of the nodes in the node list.
// If it succeeds, it will return the name of the node.
// If it fails, it will return a FitError error with reasons.
func (g *genericScheduler) Schedule(pod *v1.Pod, nodeLister algorithm.NodeLister) (result ScheduleResult, err error) {
trace := utiltrace.New(fmt.Sprintf("Scheduling %s/%s", pod.Namespace, pod.Name))
defer trace.LogIfLong(100 * time.Millisecond)
if err := podPassesBasicChecks(pod, g.pvcLister); err != nil {
return result, err
}
nodes, err := nodeLister.List()
if err != nil {
return result, err
}
if len(nodes) == 0 {
return result, ErrNoNodesAvailable
}
if err := g.snapshot(); err != nil {
return result, err
}
trace.Step("Computing predicates")
startPredicateEvalTime := time.Now()
filteredNodes, failedPredicateMap, err := g.findNodesThatFit(pod, nodes)
if err != nil {
return result, err
}
if len(filteredNodes) == 0 {
return result, &FitError{
Pod: pod,
NumAllNodes: len(nodes),
FailedPredicates: failedPredicateMap,
}
}
metrics.SchedulingAlgorithmPredicateEvaluationDuration.Observe(metrics.SinceInSeconds(startPredicateEvalTime))
metrics.DeprecatedSchedulingAlgorithmPredicateEvaluationDuration.Observe(metrics.SinceInMicroseconds(startPredicateEvalTime))
metrics.SchedulingLatency.WithLabelValues(metrics.PredicateEvaluation).Observe(metrics.SinceInSeconds(startPredicateEvalTime))
metrics.DeprecatedSchedulingLatency.WithLabelValues(metrics.PredicateEvaluation).Observe(metrics.SinceInSeconds(startPredicateEvalTime))
trace.Step("Prioritizing")
startPriorityEvalTime := time.Now()
// When only one node after predicate, just use it.
if len(filteredNodes) == 1 {
metrics.SchedulingAlgorithmPriorityEvaluationDuration.Observe(metrics.SinceInSeconds(startPriorityEvalTime))
metrics.DeprecatedSchedulingAlgorithmPriorityEvaluationDuration.Observe(metrics.SinceInMicroseconds(startPriorityEvalTime))
return ScheduleResult{
SuggestedHost: filteredNodes[0].Name,
EvaluatedNodes: 1 + len(failedPredicateMap),
FeasibleNodes: 1,
}, nil
}
metaPrioritiesInterface := g.priorityMetaProducer(pod, g.nodeInfoSnapshot.NodeInfoMap)
priorityList, err := PrioritizeNodes(pod, g.nodeInfoSnapshot.NodeInfoMap, metaPrioritiesInterface, g.prioritizers, filteredNodes, g.extenders)
if err != nil {
return result, err
}
metrics.SchedulingAlgorithmPriorityEvaluationDuration.Observe(metrics.SinceInSeconds(startPriorityEvalTime))
metrics.DeprecatedSchedulingAlgorithmPriorityEvaluationDuration.Observe(metrics.SinceInMicroseconds(startPriorityEvalTime))
metrics.SchedulingLatency.WithLabelValues(metrics.PriorityEvaluation).Observe(metrics.SinceInSeconds(startPriorityEvalTime))
metrics.DeprecatedSchedulingLatency.WithLabelValues(metrics.PriorityEvaluation).Observe(metrics.SinceInSeconds(startPriorityEvalTime))
trace.Step("Selecting host")
host, err := g.selectHost(priorityList)
return ScheduleResult{
SuggestedHost: host,
EvaluatedNodes: len(filteredNodes) + len(failedPredicateMap),
FeasibleNodes: len(filteredNodes),
}, err
}
// Prioritizers returns a slice containing all the scheduler's priority
// functions and their config. It is exposed for testing only.
func (g *genericScheduler) Prioritizers() []priorities.PriorityConfig {
return g.prioritizers
}
// Predicates returns a map containing all the scheduler's predicate
// functions. It is exposed for testing only.
func (g *genericScheduler) Predicates() map[string]predicates.FitPredicate {
return g.predicates
}
// findMaxScores returns the indexes of nodes in the "priorityList" that has the highest "Score".
func findMaxScores(priorityList schedulerapi.HostPriorityList) []int {
maxScoreIndexes := make([]int, 0, len(priorityList)/2)
maxScore := priorityList[0].Score
for i, hp := range priorityList {
if hp.Score > maxScore {
maxScore = hp.Score
maxScoreIndexes = maxScoreIndexes[:0]
maxScoreIndexes = append(maxScoreIndexes, i)
} else if hp.Score == maxScore {
maxScoreIndexes = append(maxScoreIndexes, i)
}
}
return maxScoreIndexes
}
// selectHost takes a prioritized list of nodes and then picks one
// in a round-robin manner from the nodes that had the highest score.
func (g *genericScheduler) selectHost(priorityList schedulerapi.HostPriorityList) (string, error) {
if len(priorityList) == 0 {
return "", fmt.Errorf("empty priorityList")
}
maxScores := findMaxScores(priorityList)
ix := int(g.lastNodeIndex % uint64(len(maxScores)))
g.lastNodeIndex++
return priorityList[maxScores[ix]].Host, nil
}
// preempt finds nodes with pods that can be preempted to make room for "pod" to
// schedule. It chooses one of the nodes and preempts the pods on the node and
// returns 1) the node, 2) the list of preempted pods if such a node is found,
// 3) A list of pods whose nominated node name should be cleared, and 4) any
// possible error.
// Preempt does not update its snapshot. It uses the same snapshot used in the
// scheduling cycle. This is to avoid a scenario where preempt finds feasible
// nodes without preempting any pod. When there are many pending pods in the
// scheduling queue a nominated pod will go back to the queue and behind
// other pods with the same priority. The nominated pod prevents other pods from
// using the nominated resources and the nominated pod could take a long time
// before it is retried after many other pending pods.
func (g *genericScheduler) Preempt(pod *v1.Pod, nodeLister algorithm.NodeLister, scheduleErr error) (*v1.Node, []*v1.Pod, []*v1.Pod, error) {
// Scheduler may return various types of errors. Consider preemption only if
// the error is of type FitError.
fitError, ok := scheduleErr.(*FitError)
if !ok || fitError == nil {
return nil, nil, nil, nil
}
if !podEligibleToPreemptOthers(pod, g.nodeInfoSnapshot.NodeInfoMap) {
klog.V(5).Infof("Pod %v/%v is not eligible for more preemption.", pod.Namespace, pod.Name)
return nil, nil, nil, nil
}
allNodes, err := nodeLister.List()
if err != nil {
return nil, nil, nil, err
}
if len(allNodes) == 0 {
return nil, nil, nil, ErrNoNodesAvailable
}
potentialNodes := nodesWherePreemptionMightHelp(allNodes, fitError.FailedPredicates)
if len(potentialNodes) == 0 {
klog.V(3).Infof("Preemption will not help schedule pod %v/%v on any node.", pod.Namespace, pod.Name)
// In this case, we should clean-up any existing nominated node name of the pod.
return nil, nil, []*v1.Pod{pod}, nil
}
pdbs, err := g.pdbLister.List(labels.Everything())
if err != nil {
return nil, nil, nil, err
}
nodeToVictims, err := selectNodesForPreemption(pod, g.nodeInfoSnapshot.NodeInfoMap, potentialNodes, g.predicates,
g.predicateMetaProducer, g.schedulingQueue, pdbs)
if err != nil {
return nil, nil, nil, err
}
// We will only check nodeToVictims with extenders that support preemption.
// Extenders which do not support preemption may later prevent preemptor from being scheduled on the nominated
// node. In that case, scheduler will find a different host for the preemptor in subsequent scheduling cycles.
nodeToVictims, err = g.processPreemptionWithExtenders(pod, nodeToVictims)
if err != nil {
return nil, nil, nil, err
}
candidateNode := pickOneNodeForPreemption(nodeToVictims)
if candidateNode == nil {
return nil, nil, nil, nil
}
// Lower priority pods nominated to run on this node, may no longer fit on
// this node. So, we should remove their nomination. Removing their
// nomination updates these pods and moves them to the active queue. It
// lets scheduler find another place for them.
nominatedPods := g.getLowerPriorityNominatedPods(pod, candidateNode.Name)
if nodeInfo, ok := g.nodeInfoSnapshot.NodeInfoMap[candidateNode.Name]; ok {
return nodeInfo.Node(), nodeToVictims[candidateNode].Pods, nominatedPods, nil
}
return nil, nil, nil, fmt.Errorf(
"preemption failed: the target node %s has been deleted from scheduler cache",
candidateNode.Name)
}
// processPreemptionWithExtenders processes preemption with extenders
func (g *genericScheduler) processPreemptionWithExtenders(
pod *v1.Pod,
nodeToVictims map[*v1.Node]*schedulerapi.Victims,
) (map[*v1.Node]*schedulerapi.Victims, error) {
if len(nodeToVictims) > 0 {
for _, extender := range g.extenders {
if extender.SupportsPreemption() && extender.IsInterested(pod) {
newNodeToVictims, err := extender.ProcessPreemption(
pod,
nodeToVictims,
g.nodeInfoSnapshot.NodeInfoMap,
)
if err != nil {
if extender.IsIgnorable() {
klog.Warningf("Skipping extender %v as it returned error %v and has ignorable flag set",
extender, err)
continue
}
return nil, err
}
// Replace nodeToVictims with new result after preemption. So the
// rest of extenders can continue use it as parameter.
nodeToVictims = newNodeToVictims
// If node list becomes empty, no preemption can happen regardless of other extenders.
if len(nodeToVictims) == 0 {
break
}
}
}
}
return nodeToVictims, nil
}
// getLowerPriorityNominatedPods returns pods whose priority is smaller than the
// priority of the given "pod" and are nominated to run on the given node.
// Note: We could possibly check if the nominated lower priority pods still fit
// and return those that no longer fit, but that would require lots of
// manipulation of NodeInfo and PredicateMeta per nominated pod. It may not be
// worth the complexity, especially because we generally expect to have a very
// small number of nominated pods per node.
func (g *genericScheduler) getLowerPriorityNominatedPods(pod *v1.Pod, nodeName string) []*v1.Pod {
pods := g.schedulingQueue.NominatedPodsForNode(nodeName)
if len(pods) == 0 {
return nil
}
var lowerPriorityPods []*v1.Pod
podPriority := util.GetPodPriority(pod)
for _, p := range pods {
if util.GetPodPriority(p) < podPriority {
lowerPriorityPods = append(lowerPriorityPods, p)
}
}
return lowerPriorityPods
}
// numFeasibleNodesToFind returns the number of feasible nodes that once found, the scheduler stops
// its search for more feasible nodes.
func (g *genericScheduler) numFeasibleNodesToFind(numAllNodes int32) (numNodes int32) {
if numAllNodes < minFeasibleNodesToFind || g.percentageOfNodesToScore >= 100 {
return numAllNodes
}
adaptivePercentage := g.percentageOfNodesToScore
if adaptivePercentage <= 0 {
adaptivePercentage = schedulerapi.DefaultPercentageOfNodesToScore - numAllNodes/125
if adaptivePercentage < minFeasibleNodesPercentageToFind {
adaptivePercentage = minFeasibleNodesPercentageToFind
}
}
numNodes = numAllNodes * adaptivePercentage / 100
if numNodes < minFeasibleNodesToFind {
return minFeasibleNodesToFind
}
return numNodes
}
// Filters the nodes to find the ones that fit based on the given predicate functions
// Each node is passed through the predicate functions to determine if it is a fit
func (g *genericScheduler) findNodesThatFit(pod *v1.Pod, nodes []*v1.Node) ([]*v1.Node, FailedPredicateMap, error) {
var filtered []*v1.Node
failedPredicateMap := FailedPredicateMap{}
if len(g.predicates) == 0 {
filtered = nodes
} else {
allNodes := int32(g.cache.NodeTree().NumNodes())
numNodesToFind := g.numFeasibleNodesToFind(allNodes)
// Create filtered list with enough space to avoid growing it
// and allow assigning.
filtered = make([]*v1.Node, numNodesToFind)
errs := errors.MessageCountMap{}
var (
predicateResultLock sync.Mutex
filteredLen int32
)
ctx, cancel := context.WithCancel(context.Background())
// We can use the same metadata producer for all nodes.
meta := g.predicateMetaProducer(pod, g.nodeInfoSnapshot.NodeInfoMap)
checkNode := func(i int) {
nodeName := g.cache.NodeTree().Next()
fits, failedPredicates, err := podFitsOnNode(
pod,
meta,
g.nodeInfoSnapshot.NodeInfoMap[nodeName],
g.predicates,
g.schedulingQueue,
g.alwaysCheckAllPredicates,
)
if err != nil {
predicateResultLock.Lock()
errs[err.Error()]++
predicateResultLock.Unlock()
return
}
if fits {
length := atomic.AddInt32(&filteredLen, 1)
if length > numNodesToFind {
cancel()
atomic.AddInt32(&filteredLen, -1)
} else {
filtered[length-1] = g.nodeInfoSnapshot.NodeInfoMap[nodeName].Node()
}
} else {
predicateResultLock.Lock()
failedPredicateMap[nodeName] = failedPredicates
predicateResultLock.Unlock()
}
}
// Stops searching for more nodes once the configured number of feasible nodes
// are found.
workqueue.ParallelizeUntil(ctx, 16, int(allNodes), checkNode)
filtered = filtered[:filteredLen]
if len(errs) > 0 {
return []*v1.Node{}, FailedPredicateMap{}, errors.CreateAggregateFromMessageCountMap(errs)
}
}
if len(filtered) > 0 && len(g.extenders) != 0 {
for _, extender := range g.extenders {
if !extender.IsInterested(pod) {
continue
}
filteredList, failedMap, err := extender.Filter(pod, filtered, g.nodeInfoSnapshot.NodeInfoMap)
if err != nil {
if extender.IsIgnorable() {
klog.Warningf("Skipping extender %v as it returned error %v and has ignorable flag set",
extender, err)
continue
} else {
return []*v1.Node{}, FailedPredicateMap{}, err
}
}
for failedNodeName, failedMsg := range failedMap {
if _, found := failedPredicateMap[failedNodeName]; !found {
failedPredicateMap[failedNodeName] = []predicates.PredicateFailureReason{}
}
failedPredicateMap[failedNodeName] = append(failedPredicateMap[failedNodeName], predicates.NewFailureReason(failedMsg))
}
filtered = filteredList
if len(filtered) == 0 {
break
}
}
}
return filtered, failedPredicateMap, nil
}
// addNominatedPods adds pods with equal or greater priority which are nominated
// to run on the node given in nodeInfo to meta and nodeInfo. It returns 1) whether
// any pod was found, 2) augmented meta data, 3) augmented nodeInfo.
func addNominatedPods(pod *v1.Pod, meta predicates.PredicateMetadata,
nodeInfo *schedulernodeinfo.NodeInfo, queue internalqueue.SchedulingQueue) (bool, predicates.PredicateMetadata,
*schedulernodeinfo.NodeInfo) {
if queue == nil || nodeInfo == nil || nodeInfo.Node() == nil {
// This may happen only in tests.
return false, meta, nodeInfo
}
nominatedPods := queue.NominatedPodsForNode(nodeInfo.Node().Name)
if nominatedPods == nil || len(nominatedPods) == 0 {
return false, meta, nodeInfo
}
var metaOut predicates.PredicateMetadata
if meta != nil {
metaOut = meta.ShallowCopy()
}
nodeInfoOut := nodeInfo.Clone()
for _, p := range nominatedPods {
if util.GetPodPriority(p) >= util.GetPodPriority(pod) && p.UID != pod.UID {
nodeInfoOut.AddPod(p)
if metaOut != nil {
metaOut.AddPod(p, nodeInfoOut)
}
}
}
return true, metaOut, nodeInfoOut
}
// podFitsOnNode checks whether a node given by NodeInfo satisfies the given predicate functions.
// For given pod, podFitsOnNode will check if any equivalent pod exists and try to reuse its cached
// predicate results as possible.
// This function is called from two different places: Schedule and Preempt.
// When it is called from Schedule, we want to test whether the pod is schedulable
// on the node with all the existing pods on the node plus higher and equal priority
// pods nominated to run on the node.
// When it is called from Preempt, we should remove the victims of preemption and
// add the nominated pods. Removal of the victims is done by SelectVictimsOnNode().
// It removes victims from meta and NodeInfo before calling this function.
func podFitsOnNode(
pod *v1.Pod,
meta predicates.PredicateMetadata,
info *schedulernodeinfo.NodeInfo,
predicateFuncs map[string]predicates.FitPredicate,
queue internalqueue.SchedulingQueue,
alwaysCheckAllPredicates bool,
) (bool, []predicates.PredicateFailureReason, error) {
var failedPredicates []predicates.PredicateFailureReason
podsAdded := false
// We run predicates twice in some cases. If the node has greater or equal priority
// nominated pods, we run them when those pods are added to meta and nodeInfo.
// If all predicates succeed in this pass, we run them again when these
// nominated pods are not added. This second pass is necessary because some
// predicates such as inter-pod affinity may not pass without the nominated pods.
// If there are no nominated pods for the node or if the first run of the
// predicates fail, we don't run the second pass.
// We consider only equal or higher priority pods in the first pass, because
// those are the current "pod" must yield to them and not take a space opened
// for running them. It is ok if the current "pod" take resources freed for
// lower priority pods.
// Requiring that the new pod is schedulable in both circumstances ensures that
// we are making a conservative decision: predicates like resources and inter-pod
// anti-affinity are more likely to fail when the nominated pods are treated
// as running, while predicates like pod affinity are more likely to fail when
// the nominated pods are treated as not running. We can't just assume the
// nominated pods are running because they are not running right now and in fact,
// they may end up getting scheduled to a different node.
for i := 0; i < 2; i++ {
metaToUse := meta
nodeInfoToUse := info
if i == 0 {
podsAdded, metaToUse, nodeInfoToUse = addNominatedPods(pod, meta, info, queue)
} else if !podsAdded || len(failedPredicates) != 0 {
break
}
for _, predicateKey := range predicates.Ordering() {
var (
fit bool
reasons []predicates.PredicateFailureReason
err error
)
//TODO (yastij) : compute average predicate restrictiveness to export it as Prometheus metric
if predicate, exist := predicateFuncs[predicateKey]; exist {
fit, reasons, err = predicate(pod, metaToUse, nodeInfoToUse)
if err != nil {
return false, []predicates.PredicateFailureReason{}, err
}
if !fit {
// eCache is available and valid, and predicates result is unfit, record the fail reasons
failedPredicates = append(failedPredicates, reasons...)
// if alwaysCheckAllPredicates is false, short circuit all predicates when one predicate fails.
if !alwaysCheckAllPredicates {
klog.V(5).Infoln("since alwaysCheckAllPredicates has not been set, the predicate " +
"evaluation is short circuited and there are chances " +
"of other predicates failing as well.")
break
}
}
}
}
}
return len(failedPredicates) == 0, failedPredicates, nil
}
// PrioritizeNodes prioritizes the nodes by running the individual priority functions in parallel.
// Each priority function is expected to set a score of 0-10
// 0 is the lowest priority score (least preferred node) and 10 is the highest
// Each priority function can also have its own weight
// The node scores returned by the priority function are multiplied by the weights to get weighted scores
// All scores are finally combined (added) to get the total weighted scores of all nodes
func PrioritizeNodes(
pod *v1.Pod,
nodeNameToInfo map[string]*schedulernodeinfo.NodeInfo,
meta interface{},
priorityConfigs []priorities.PriorityConfig,
nodes []*v1.Node,
extenders []algorithm.SchedulerExtender,
) (schedulerapi.HostPriorityList, error) {
// If no priority configs are provided, then the EqualPriority function is applied
// This is required to generate the priority list in the required format
if len(priorityConfigs) == 0 && len(extenders) == 0 {
result := make(schedulerapi.HostPriorityList, 0, len(nodes))
for i := range nodes {
hostPriority, err := EqualPriorityMap(pod, meta, nodeNameToInfo[nodes[i].Name])
if err != nil {
return nil, err
}
result = append(result, hostPriority)
}
return result, nil
}
var (
mu = sync.Mutex{}
wg = sync.WaitGroup{}
errs []error
)
appendError := func(err error) {
mu.Lock()
defer mu.Unlock()
errs = append(errs, err)
}
results := make([]schedulerapi.HostPriorityList, len(priorityConfigs), len(priorityConfigs))
// DEPRECATED: we can remove this when all priorityConfigs implement the
// Map-Reduce pattern.
for i := range priorityConfigs {
if priorityConfigs[i].Function != nil {
wg.Add(1)
go func(index int) {
defer wg.Done()
var err error
results[index], err = priorityConfigs[index].Function(pod, nodeNameToInfo, nodes)
if err != nil {
appendError(err)
}
}(i)
} else {
results[i] = make(schedulerapi.HostPriorityList, len(nodes))
}
}
workqueue.ParallelizeUntil(context.TODO(), 16, len(nodes), func(index int) {
nodeInfo := nodeNameToInfo[nodes[index].Name]
for i := range priorityConfigs {
if priorityConfigs[i].Function != nil {
continue
}
var err error
results[i][index], err = priorityConfigs[i].Map(pod, meta, nodeInfo)
if err != nil {
appendError(err)
results[i][index].Host = nodes[index].Name
}
}
})
for i := range priorityConfigs {
if priorityConfigs[i].Reduce == nil {
continue
}
wg.Add(1)
go func(index int) {
defer wg.Done()
if err := priorityConfigs[index].Reduce(pod, meta, nodeNameToInfo, results[index]); err != nil {
appendError(err)
}
if klog.V(10) {
for _, hostPriority := range results[index] {
klog.Infof("%v -> %v: %v, Score: (%d)", util.GetPodFullName(pod), hostPriority.Host, priorityConfigs[index].Name, hostPriority.Score)
}
}
}(i)
}
// Wait for all computations to be finished.
wg.Wait()
if len(errs) != 0 {
return schedulerapi.HostPriorityList{}, errors.NewAggregate(errs)
}
// Summarize all scores.
result := make(schedulerapi.HostPriorityList, 0, len(nodes))
for i := range nodes {
result = append(result, schedulerapi.HostPriority{Host: nodes[i].Name, Score: 0})
for j := range priorityConfigs {
result[i].Score += results[j][i].Score * priorityConfigs[j].Weight
}
}
if len(extenders) != 0 && nodes != nil {
combinedScores := make(map[string]int, len(nodeNameToInfo))
for i := range extenders {
if !extenders[i].IsInterested(pod) {
continue
}
wg.Add(1)
go func(extIndex int) {
defer wg.Done()
prioritizedList, weight, err := extenders[extIndex].Prioritize(pod, nodes)
if err != nil {
// Prioritization errors from extender can be ignored, let k8s/other extenders determine the priorities
return
}
mu.Lock()
for i := range *prioritizedList {
host, score := (*prioritizedList)[i].Host, (*prioritizedList)[i].Score
if klog.V(10) {
klog.Infof("%v -> %v: %v, Score: (%d)", util.GetPodFullName(pod), host, extenders[extIndex].Name(), score)
}
combinedScores[host] += score * weight
}
mu.Unlock()
}(i)
}
// wait for all go routines to finish
wg.Wait()
for i := range result {
result[i].Score += combinedScores[result[i].Host]
}
}
if klog.V(10) {
for i := range result {
klog.Infof("Host %s => Score %d", result[i].Host, result[i].Score)
}
}
return result, nil
}
// EqualPriorityMap is a prioritizer function that gives an equal weight of one to all nodes
func EqualPriorityMap(_ *v1.Pod, _ interface{}, nodeInfo *schedulernodeinfo.NodeInfo) (schedulerapi.HostPriority, error) {
node := nodeInfo.Node()
if node == nil {
return schedulerapi.HostPriority{}, fmt.Errorf("node not found")
}
return schedulerapi.HostPriority{
Host: node.Name,
Score: 1,
}, nil
}
// pickOneNodeForPreemption chooses one node among the given nodes. It assumes
// pods in each map entry are ordered by decreasing priority.
// It picks a node based on the following criteria:
// 1. A node with minimum number of PDB violations.
// 2. A node with minimum highest priority victim is picked.
// 3. Ties are broken by sum of priorities of all victims.
// 4. If there are still ties, node with the minimum number of victims is picked.
// 5. If there are still ties, the first such node is picked (sort of randomly).
// The 'minNodes1' and 'minNodes2' are being reused here to save the memory
// allocation and garbage collection time.
func pickOneNodeForPreemption(nodesToVictims map[*v1.Node]*schedulerapi.Victims) *v1.Node {
if len(nodesToVictims) == 0 {
return nil
}
minNumPDBViolatingPods := math.MaxInt32
var minNodes1 []*v1.Node
lenNodes1 := 0
for node, victims := range nodesToVictims {
if len(victims.Pods) == 0 {
// We found a node that doesn't need any preemption. Return it!
// This should happen rarely when one or more pods are terminated between
// the time that scheduler tries to schedule the pod and the time that
// preemption logic tries to find nodes for preemption.
return node
}
numPDBViolatingPods := victims.NumPDBViolations
if numPDBViolatingPods < minNumPDBViolatingPods {
minNumPDBViolatingPods = numPDBViolatingPods
minNodes1 = nil
lenNodes1 = 0
}
if numPDBViolatingPods == minNumPDBViolatingPods {
minNodes1 = append(minNodes1, node)
lenNodes1++
}
}
if lenNodes1 == 1 {
return minNodes1[0]
}
// There are more than one node with minimum number PDB violating pods. Find
// the one with minimum highest priority victim.
minHighestPriority := int32(math.MaxInt32)
var minNodes2 = make([]*v1.Node, lenNodes1)
lenNodes2 := 0
for i := 0; i < lenNodes1; i++ {
node := minNodes1[i]
victims := nodesToVictims[node]
// highestPodPriority is the highest priority among the victims on this node.
highestPodPriority := util.GetPodPriority(victims.Pods[0])
if highestPodPriority < minHighestPriority {
minHighestPriority = highestPodPriority
lenNodes2 = 0
}
if highestPodPriority == minHighestPriority {
minNodes2[lenNodes2] = node
lenNodes2++
}
}
if lenNodes2 == 1 {
return minNodes2[0]
}
// There are a few nodes with minimum highest priority victim. Find the
// smallest sum of priorities.
minSumPriorities := int64(math.MaxInt64)
lenNodes1 = 0
for i := 0; i < lenNodes2; i++ {
var sumPriorities int64
node := minNodes2[i]
for _, pod := range nodesToVictims[node].Pods {
// We add MaxInt32+1 to all priorities to make all of them >= 0. This is
// needed so that a node with a few pods with negative priority is not
// picked over a node with a smaller number of pods with the same negative
// priority (and similar scenarios).
sumPriorities += int64(util.GetPodPriority(pod)) + int64(math.MaxInt32+1)
}
if sumPriorities < minSumPriorities {
minSumPriorities = sumPriorities
lenNodes1 = 0
}
if sumPriorities == minSumPriorities {
minNodes1[lenNodes1] = node
lenNodes1++
}
}
if lenNodes1 == 1 {
return minNodes1[0]
}
// There are a few nodes with minimum highest priority victim and sum of priorities.
// Find one with the minimum number of pods.
minNumPods := math.MaxInt32
lenNodes2 = 0
for i := 0; i < lenNodes1; i++ {
node := minNodes1[i]
numPods := len(nodesToVictims[node].Pods)
if numPods < minNumPods {
minNumPods = numPods
lenNodes2 = 0
}
if numPods == minNumPods {
minNodes2[lenNodes2] = node
lenNodes2++
}
}
// At this point, even if there are more than one node with the same score,
// return the first one.
if lenNodes2 > 0 {
return minNodes2[0]
}
klog.Errorf("Error in logic of node scoring for preemption. We should never reach here!")
return nil
}
// selectNodesForPreemption finds all the nodes with possible victims for
// preemption in parallel.
func selectNodesForPreemption(pod *v1.Pod,
nodeNameToInfo map[string]*schedulernodeinfo.NodeInfo,
potentialNodes []*v1.Node,
fitPredicates map[string]predicates.FitPredicate,
metadataProducer predicates.PredicateMetadataProducer,
queue internalqueue.SchedulingQueue,
pdbs []*policy.PodDisruptionBudget,
) (map[*v1.Node]*schedulerapi.Victims, error) {
nodeToVictims := map[*v1.Node]*schedulerapi.Victims{}
var resultLock sync.Mutex
// We can use the same metadata producer for all nodes.
meta := metadataProducer(pod, nodeNameToInfo)
checkNode := func(i int) {
nodeName := potentialNodes[i].Name
var metaCopy predicates.PredicateMetadata
if meta != nil {
metaCopy = meta.ShallowCopy()
}
pods, numPDBViolations, fits := selectVictimsOnNode(pod, metaCopy, nodeNameToInfo[nodeName], fitPredicates, queue, pdbs)
if fits {
resultLock.Lock()
victims := schedulerapi.Victims{
Pods: pods,
NumPDBViolations: numPDBViolations,
}
nodeToVictims[potentialNodes[i]] = &victims
resultLock.Unlock()
}
}
workqueue.ParallelizeUntil(context.TODO(), 16, len(potentialNodes), checkNode)
return nodeToVictims, nil
}
// filterPodsWithPDBViolation groups the given "pods" into two groups of "violatingPods"
// and "nonViolatingPods" based on whether their PDBs will be violated if they are
// preempted.
// This function is stable and does not change the order of received pods. So, if it
// receives a sorted list, grouping will preserve the order of the input list.
func filterPodsWithPDBViolation(pods []interface{}, pdbs []*policy.PodDisruptionBudget) (violatingPods, nonViolatingPods []*v1.Pod) {
for _, obj := range pods {
pod := obj.(*v1.Pod)
pdbForPodIsViolated := false
// A pod with no labels will not match any PDB. So, no need to check.
if len(pod.Labels) != 0 {
for _, pdb := range pdbs {
if pdb.Namespace != pod.Namespace {
continue
}
selector, err := metav1.LabelSelectorAsSelector(pdb.Spec.Selector)
if err != nil {
continue
}
// A PDB with a nil or empty selector matches nothing.
if selector.Empty() || !selector.Matches(labels.Set(pod.Labels)) {
continue
}
// We have found a matching PDB.
if pdb.Status.PodDisruptionsAllowed <= 0 {
pdbForPodIsViolated = true
break
}
}
}
if pdbForPodIsViolated {
violatingPods = append(violatingPods, pod)
} else {
nonViolatingPods = append(nonViolatingPods, pod)
}
}
return violatingPods, nonViolatingPods
}
// selectVictimsOnNode finds minimum set of pods on the given node that should
// be preempted in order to make enough room for "pod" to be scheduled. The
// minimum set selected is subject to the constraint that a higher-priority pod
// is never preempted when a lower-priority pod could be (higher/lower relative
// to one another, not relative to the preemptor "pod").
// The algorithm first checks if the pod can be scheduled on the node when all the
// lower priority pods are gone. If so, it sorts all the lower priority pods by
// their priority and then puts them into two groups of those whose PodDisruptionBudget
// will be violated if preempted and other non-violating pods. Both groups are
// sorted by priority. It first tries to reprieve as many PDB violating pods as
// possible and then does them same for non-PDB-violating pods while checking
// that the "pod" can still fit on the node.