mirror of
https://github.com/optim-enterprises-bv/kubernetes.git
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202 lines
8.1 KiB
Go
202 lines
8.1 KiB
Go
/*
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Copyright 2016 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package priorities
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import (
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"github.com/golang/glog"
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"k8s.io/kubernetes/pkg/api"
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"k8s.io/kubernetes/pkg/labels"
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"k8s.io/kubernetes/plugin/pkg/scheduler/algorithm"
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"k8s.io/kubernetes/plugin/pkg/scheduler/algorithm/predicates"
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priorityutil "k8s.io/kubernetes/plugin/pkg/scheduler/algorithm/priorities/util"
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schedulerapi "k8s.io/kubernetes/plugin/pkg/scheduler/api"
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"k8s.io/kubernetes/plugin/pkg/scheduler/schedulercache"
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)
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type InterPodAffinity struct {
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info predicates.NodeInfo
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nodeLister algorithm.NodeLister
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podLister algorithm.PodLister
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hardPodAffinityWeight int
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failureDomains priorityutil.Topologies
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}
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func NewInterPodAffinityPriority(
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info predicates.NodeInfo,
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nodeLister algorithm.NodeLister,
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podLister algorithm.PodLister,
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hardPodAffinityWeight int,
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failureDomains []string) algorithm.PriorityFunction {
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interPodAffinity := &InterPodAffinity{
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info: info,
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nodeLister: nodeLister,
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podLister: podLister,
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hardPodAffinityWeight: hardPodAffinityWeight,
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failureDomains: priorityutil.Topologies{DefaultKeys: failureDomains},
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}
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return interPodAffinity.CalculateInterPodAffinityPriority
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}
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type podAffinityPriorityMap struct {
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// nodes contain all nodes that should be considered
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nodes []*api.Node
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// counts store the mapping from node name to so-far computed score of
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// the node.
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counts map[string]float64
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// failureDomains contain default failure domains keys
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failureDomains priorityutil.Topologies
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// The first error that we faced.
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firstError error
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}
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func newPodAffinityPriorityMap(nodes []*api.Node, failureDomains priorityutil.Topologies) *podAffinityPriorityMap {
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return &podAffinityPriorityMap{
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nodes: nodes,
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counts: make(map[string]float64, len(nodes)),
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failureDomains: failureDomains,
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}
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}
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func (p *podAffinityPriorityMap) processTerm(term *api.PodAffinityTerm, podDefiningAffinityTerm, podToCheck *api.Pod, fixedNode *api.Node, weight float64) {
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match, err := priorityutil.PodMatchesTermsNamespaceAndSelector(podToCheck, podDefiningAffinityTerm, term)
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if err != nil {
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if p.firstError == nil {
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p.firstError = err
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}
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return
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}
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if match {
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for _, node := range p.nodes {
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if p.failureDomains.NodesHaveSameTopologyKey(node, fixedNode, term.TopologyKey) {
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p.counts[node.Name] += weight
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}
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}
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}
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}
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func (p *podAffinityPriorityMap) processTerms(terms []api.WeightedPodAffinityTerm, podDefiningAffinityTerm, podToCheck *api.Pod, fixedNode *api.Node, multiplier int) {
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for i := range terms {
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term := &terms[i]
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p.processTerm(&term.PodAffinityTerm, podDefiningAffinityTerm, podToCheck, fixedNode, float64(term.Weight*multiplier))
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}
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}
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// compute a sum by iterating through the elements of weightedPodAffinityTerm and adding
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// "weight" to the sum if the corresponding PodAffinityTerm is satisfied for
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// that node; the node(s) with the highest sum are the most preferred.
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// Symmetry need to be considered for preferredDuringSchedulingIgnoredDuringExecution from podAffinity & podAntiAffinity,
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// symmetry need to be considered for hard requirements from podAffinity
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func (ipa *InterPodAffinity) CalculateInterPodAffinityPriority(pod *api.Pod, nodeNameToInfo map[string]*schedulercache.NodeInfo, nodes []*api.Node) (schedulerapi.HostPriorityList, error) {
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allPods, err := ipa.podLister.List(labels.Everything())
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if err != nil {
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return nil, err
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}
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affinity, err := api.GetAffinityFromPodAnnotations(pod.Annotations)
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if err != nil {
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return nil, err
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}
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// convert the topology key based weights to the node name based weights
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var maxCount float64
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var minCount float64
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// priorityMap stores the mapping from node name to so-far computed score of
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// the node.
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pm := newPodAffinityPriorityMap(nodes, ipa.failureDomains)
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for _, existingPod := range allPods {
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existingPodNode, err := ipa.info.GetNodeInfo(existingPod.Spec.NodeName)
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if err != nil {
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return nil, err
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}
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existingPodAffinity, err := api.GetAffinityFromPodAnnotations(existingPod.Annotations)
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if err != nil {
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return nil, err
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}
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if affinity != nil && affinity.PodAffinity != nil {
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// For every soft pod affinity term of <pod>, if <existingPod> matches the term,
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// increment <pm.counts> for every node in the cluster with the same <term.TopologyKey>
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// value as that of <existingPods>`s node by the term`s weight.
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terms := affinity.PodAffinity.PreferredDuringSchedulingIgnoredDuringExecution
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pm.processTerms(terms, pod, existingPod, existingPodNode, 1)
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}
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if affinity != nil && affinity.PodAntiAffinity != nil {
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// For every soft pod anti-affinity term of <pod>, if <existingPod> matches the term,
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// decrement <pm.counts> for every node in the cluster with the same <term.TopologyKey>
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// value as that of <existingPod>`s node by the term`s weight.
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terms := affinity.PodAntiAffinity.PreferredDuringSchedulingIgnoredDuringExecution
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pm.processTerms(terms, pod, existingPod, existingPodNode, -1)
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}
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if existingPodAffinity != nil && existingPodAffinity.PodAffinity != nil {
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// For every hard pod affinity term of <existingPod>, if <pod> matches the term,
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// increment <pm.counts> for every node in the cluster with the same <term.TopologyKey>
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// value as that of <existingPod>'s node by the constant <ipa.hardPodAffinityWeight>
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if ipa.hardPodAffinityWeight > 0 {
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terms := existingPodAffinity.PodAffinity.RequiredDuringSchedulingIgnoredDuringExecution
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// TODO: Uncomment this block when implement RequiredDuringSchedulingRequiredDuringExecution.
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//if len(existingPodAffinity.PodAffinity.RequiredDuringSchedulingRequiredDuringExecution) != 0 {
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// terms = append(terms, existingPodAffinity.PodAffinity.RequiredDuringSchedulingRequiredDuringExecution...)
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//}
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for _, term := range terms {
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pm.processTerm(&term, existingPod, pod, existingPodNode, float64(ipa.hardPodAffinityWeight))
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}
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}
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// For every soft pod affinity term of <existingPod>, if <pod> matches the term,
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// increment <pm.counts> for every node in the cluster with the same <term.TopologyKey>
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// value as that of <existingPod>'s node by the term's weight.
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terms := existingPodAffinity.PodAffinity.PreferredDuringSchedulingIgnoredDuringExecution
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pm.processTerms(terms, existingPod, pod, existingPodNode, 1)
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}
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if existingPodAffinity != nil && existingPodAffinity.PodAntiAffinity != nil {
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// For every soft pod anti-affinity term of <existingPod>, if <pod> matches the term,
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// decrement <pm.counts> for every node in the cluster with the same <term.TopologyKey>
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// value as that of <existingPod>'s node by the term's weight.
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terms := existingPodAffinity.PodAntiAffinity.PreferredDuringSchedulingIgnoredDuringExecution
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pm.processTerms(terms, existingPod, pod, existingPodNode, -1)
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}
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}
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if pm.firstError != nil {
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return nil, pm.firstError
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}
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for _, node := range nodes {
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if pm.counts[node.Name] > maxCount {
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maxCount = pm.counts[node.Name]
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}
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if pm.counts[node.Name] < minCount {
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minCount = pm.counts[node.Name]
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}
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}
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// calculate final priority score for each node
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result := make(schedulerapi.HostPriorityList, 0, len(nodes))
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for _, node := range nodes {
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fScore := float64(0)
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if (maxCount - minCount) > 0 {
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fScore = 10 * ((pm.counts[node.Name] - minCount) / (maxCount - minCount))
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}
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result = append(result, schedulerapi.HostPriority{Host: node.Name, Score: int(fScore)})
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if glog.V(10) {
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// We explicitly don't do glog.V(10).Infof() to avoid computing all the parameters if this is
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// not logged. There is visible performance gain from it.
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glog.V(10).Infof("%v -> %v: InterPodAffinityPriority, Score: (%d)", pod.Name, node.Name, int(fScore))
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}
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}
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return result, nil
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}
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