/* Copyright 2016 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 priorities import ( "context" "sync/atomic" "k8s.io/api/core/v1" apierrors "k8s.io/apimachinery/pkg/api/errors" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" "k8s.io/client-go/util/workqueue" "k8s.io/kubernetes/pkg/scheduler/algorithm/predicates" priorityutil "k8s.io/kubernetes/pkg/scheduler/algorithm/priorities/util" schedulerapi "k8s.io/kubernetes/pkg/scheduler/api" framework "k8s.io/kubernetes/pkg/scheduler/framework/v1alpha1" schedulernodeinfo "k8s.io/kubernetes/pkg/scheduler/nodeinfo" schedutil "k8s.io/kubernetes/pkg/scheduler/util" "k8s.io/klog" ) // InterPodAffinity contains information to calculate inter pod affinity. type InterPodAffinity struct { info predicates.NodeInfo hardPodAffinityWeight int32 } // NewInterPodAffinityPriority creates an InterPodAffinity. func NewInterPodAffinityPriority( info predicates.NodeInfo, hardPodAffinityWeight int32) PriorityFunction { interPodAffinity := &InterPodAffinity{ info: info, hardPodAffinityWeight: hardPodAffinityWeight, } return interPodAffinity.CalculateInterPodAffinityPriority } type podAffinityPriorityMap struct { // nodes contain all nodes that should be considered. nodes []*v1.Node // counts store the so-far computed score for each node. counts []int64 } func newPodAffinityPriorityMap(nodes []*v1.Node) *podAffinityPriorityMap { return &podAffinityPriorityMap{ nodes: nodes, counts: make([]int64, len(nodes)), } } func (p *podAffinityPriorityMap) processTerm(term *v1.PodAffinityTerm, podDefiningAffinityTerm, podToCheck *v1.Pod, fixedNode *v1.Node, weight int64) error { namespaces := priorityutil.GetNamespacesFromPodAffinityTerm(podDefiningAffinityTerm, term) selector, err := metav1.LabelSelectorAsSelector(term.LabelSelector) if err != nil { return err } match := priorityutil.PodMatchesTermsNamespaceAndSelector(podToCheck, namespaces, selector) if match { for i, node := range p.nodes { if priorityutil.NodesHaveSameTopologyKey(node, fixedNode, term.TopologyKey) { atomic.AddInt64(&p.counts[i], weight) } } } return nil } func (p *podAffinityPriorityMap) processTerms(terms []v1.WeightedPodAffinityTerm, podDefiningAffinityTerm, podToCheck *v1.Pod, fixedNode *v1.Node, multiplier int) error { for i := range terms { term := &terms[i] if err := p.processTerm(&term.PodAffinityTerm, podDefiningAffinityTerm, podToCheck, fixedNode, int64(term.Weight*int32(multiplier))); err != nil { return err } } return nil } // CalculateInterPodAffinityPriority compute a sum by iterating through the elements of weightedPodAffinityTerm and adding // "weight" to the sum if the corresponding PodAffinityTerm is satisfied for // that node; the node(s) with the highest sum are the most preferred. // Symmetry need to be considered for preferredDuringSchedulingIgnoredDuringExecution from podAffinity & podAntiAffinity, // symmetry need to be considered for hard requirements from podAffinity func (ipa *InterPodAffinity) CalculateInterPodAffinityPriority(pod *v1.Pod, nodeNameToInfo map[string]*schedulernodeinfo.NodeInfo, nodes []*v1.Node) (framework.NodeScoreList, error) { affinity := pod.Spec.Affinity hasAffinityConstraints := affinity != nil && affinity.PodAffinity != nil hasAntiAffinityConstraints := affinity != nil && affinity.PodAntiAffinity != nil // pm stores (1) all nodes that should be considered and (2) the so-far computed score for each node. pm := newPodAffinityPriorityMap(nodes) allNodeNames := make([]string, 0, len(nodeNameToInfo)) for name := range nodeNameToInfo { allNodeNames = append(allNodeNames, name) } // convert the topology key based weights to the node name based weights var maxCount, minCount int64 processPod := func(existingPod *v1.Pod) error { existingPodNode, err := ipa.info.GetNodeInfo(existingPod.Spec.NodeName) if err != nil { if apierrors.IsNotFound(err) { klog.Errorf("Node not found, %v", existingPod.Spec.NodeName) return nil } return err } existingPodAffinity := existingPod.Spec.Affinity existingHasAffinityConstraints := existingPodAffinity != nil && existingPodAffinity.PodAffinity != nil existingHasAntiAffinityConstraints := existingPodAffinity != nil && existingPodAffinity.PodAntiAffinity != nil if hasAffinityConstraints { // For every soft pod affinity term of , if matches the term, // increment for every node in the cluster with the same // value as that of `s node by the term`s weight. terms := affinity.PodAffinity.PreferredDuringSchedulingIgnoredDuringExecution if err := pm.processTerms(terms, pod, existingPod, existingPodNode, 1); err != nil { return err } } if hasAntiAffinityConstraints { // For every soft pod anti-affinity term of , if matches the term, // decrement for every node in the cluster with the same // value as that of `s node by the term`s weight. terms := affinity.PodAntiAffinity.PreferredDuringSchedulingIgnoredDuringExecution if err := pm.processTerms(terms, pod, existingPod, existingPodNode, -1); err != nil { return err } } if existingHasAffinityConstraints { // For every hard pod affinity term of , if matches the term, // increment for every node in the cluster with the same // value as that of 's node by the constant if ipa.hardPodAffinityWeight > 0 { terms := existingPodAffinity.PodAffinity.RequiredDuringSchedulingIgnoredDuringExecution // TODO: Uncomment this block when implement RequiredDuringSchedulingRequiredDuringExecution. //if len(existingPodAffinity.PodAffinity.RequiredDuringSchedulingRequiredDuringExecution) != 0 { // terms = append(terms, existingPodAffinity.PodAffinity.RequiredDuringSchedulingRequiredDuringExecution...) //} for _, term := range terms { if err := pm.processTerm(&term, existingPod, pod, existingPodNode, int64(ipa.hardPodAffinityWeight)); err != nil { return err } } } // For every soft pod affinity term of , if matches the term, // increment for every node in the cluster with the same // value as that of 's node by the term's weight. terms := existingPodAffinity.PodAffinity.PreferredDuringSchedulingIgnoredDuringExecution if err := pm.processTerms(terms, existingPod, pod, existingPodNode, 1); err != nil { return err } } if existingHasAntiAffinityConstraints { // For every soft pod anti-affinity term of , if matches the term, // decrement for every node in the cluster with the same // value as that of 's node by the term's weight. terms := existingPodAffinity.PodAntiAffinity.PreferredDuringSchedulingIgnoredDuringExecution if err := pm.processTerms(terms, existingPod, pod, existingPodNode, -1); err != nil { return err } } return nil } errCh := schedutil.NewErrorChannel() ctx, cancel := context.WithCancel(context.Background()) processNode := func(i int) { nodeInfo := nodeNameToInfo[allNodeNames[i]] if nodeInfo.Node() != nil { if hasAffinityConstraints || hasAntiAffinityConstraints { // We need to process all the pods. for _, existingPod := range nodeInfo.Pods() { if err := processPod(existingPod); err != nil { errCh.SendErrorWithCancel(err, cancel) return } } } else { // The pod doesn't have any constraints - we need to check only existing // ones that have some. for _, existingPod := range nodeInfo.PodsWithAffinity() { if err := processPod(existingPod); err != nil { errCh.SendErrorWithCancel(err, cancel) return } } } } } workqueue.ParallelizeUntil(ctx, 16, len(allNodeNames), processNode) if err := errCh.ReceiveError(); err != nil { return nil, err } for i := range nodes { if pm.counts[i] > maxCount { maxCount = pm.counts[i] } if pm.counts[i] < minCount { minCount = pm.counts[i] } } // calculate final priority score for each node result := make(framework.NodeScoreList, 0, len(nodes)) maxMinDiff := maxCount - minCount for i, node := range nodes { fScore := float64(0) if maxMinDiff > 0 { fScore = float64(schedulerapi.MaxPriority) * (float64(pm.counts[i]-minCount) / float64(maxCount-minCount)) } result = append(result, framework.NodeScore{Name: node.Name, Score: int64(fScore)}) if klog.V(10) { klog.Infof("%v -> %v: InterPodAffinityPriority, Score: (%d)", pod.Name, node.Name, int(fScore)) } } return result, nil }