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interpod_affinity.go
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interpod_affinity.go
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/*
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 (
"strings"
"sync"
"github.com/golang/glog"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/client-go/util/workqueue"
"k8s.io/kubernetes/pkg/api/v1"
kubeletapis "k8s.io/kubernetes/pkg/kubelet/apis"
"k8s.io/kubernetes/plugin/pkg/scheduler/algorithm"
"k8s.io/kubernetes/plugin/pkg/scheduler/algorithm/predicates"
priorityutil "k8s.io/kubernetes/plugin/pkg/scheduler/algorithm/priorities/util"
schedulerapi "k8s.io/kubernetes/plugin/pkg/scheduler/api"
"k8s.io/kubernetes/plugin/pkg/scheduler/schedulercache"
)
type InterPodAffinity struct {
info predicates.NodeInfo
nodeLister algorithm.NodeLister
podLister algorithm.PodLister
hardPodAffinityWeight int
}
func NewInterPodAffinityPriority(
info predicates.NodeInfo,
nodeLister algorithm.NodeLister,
podLister algorithm.PodLister,
hardPodAffinityWeight int) algorithm.PriorityFunction {
interPodAffinity := &InterPodAffinity{
info: info,
nodeLister: nodeLister,
podLister: podLister,
hardPodAffinityWeight: hardPodAffinityWeight,
}
return interPodAffinity.CalculateInterPodAffinityPriority
}
type podAffinityPriorityMap struct {
sync.Mutex
// nodes contain all nodes that should be considered
nodes []*v1.Node
// counts store the mapping from node name to so-far computed score of
// the node.
counts map[string]float64
// failureDomains contain default failure domains keys
failureDomains priorityutil.Topologies
// The first error that we faced.
firstError error
}
func newPodAffinityPriorityMap(nodes []*v1.Node) *podAffinityPriorityMap {
return &podAffinityPriorityMap{
nodes: nodes,
counts: make(map[string]float64, len(nodes)),
failureDomains: priorityutil.Topologies{DefaultKeys: strings.Split(kubeletapis.DefaultFailureDomains, ",")},
}
}
func (p *podAffinityPriorityMap) setError(err error) {
p.Lock()
defer p.Unlock()
if p.firstError == nil {
p.firstError = err
}
}
func (p *podAffinityPriorityMap) processTerm(term *v1.PodAffinityTerm, podDefiningAffinityTerm, podToCheck *v1.Pod, fixedNode *v1.Node, weight float64) {
namespaces := priorityutil.GetNamespacesFromPodAffinityTerm(podDefiningAffinityTerm, term)
selector, err := metav1.LabelSelectorAsSelector(term.LabelSelector)
if err != nil {
p.setError(err)
return
}
match := priorityutil.PodMatchesTermsNamespaceAndSelector(podToCheck, namespaces, selector)
if match {
func() {
p.Lock()
defer p.Unlock()
for _, node := range p.nodes {
if p.failureDomains.NodesHaveSameTopologyKey(node, fixedNode, term.TopologyKey) {
p.counts[node.Name] += weight
}
}
}()
}
}
func (p *podAffinityPriorityMap) processTerms(terms []v1.WeightedPodAffinityTerm, podDefiningAffinityTerm, podToCheck *v1.Pod, fixedNode *v1.Node, multiplier int) {
for i := range terms {
term := &terms[i]
p.processTerm(&term.PodAffinityTerm, podDefiningAffinityTerm, podToCheck, fixedNode, float64(term.Weight*int32(multiplier)))
}
}
// 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]*schedulercache.NodeInfo, nodes []*v1.Node) (schedulerapi.HostPriorityList, error) {
affinity := schedulercache.ReconcileAffinity(pod)
hasAffinityConstraints := affinity != nil && affinity.PodAffinity != nil
hasAntiAffinityConstraints := affinity != nil && affinity.PodAntiAffinity != nil
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 float64
var minCount float64
// priorityMap stores the mapping from node name to so-far computed score of
// the node.
pm := newPodAffinityPriorityMap(nodes)
processPod := func(existingPod *v1.Pod) error {
existingPodNode, err := ipa.info.GetNodeInfo(existingPod.Spec.NodeName)
if err != nil {
return err
}
existingPodAffinity := schedulercache.ReconcileAffinity(existingPod)
existingHasAffinityConstraints := existingPodAffinity != nil && existingPodAffinity.PodAffinity != nil
existingHasAntiAffinityConstraints := existingPodAffinity != nil && existingPodAffinity.PodAntiAffinity != nil
if hasAffinityConstraints {
// For every soft pod affinity term of <pod>, if <existingPod> matches the term,
// increment <pm.counts> for every node in the cluster with the same <term.TopologyKey>
// value as that of <existingPods>`s node by the term`s weight.
terms := affinity.PodAffinity.PreferredDuringSchedulingIgnoredDuringExecution
pm.processTerms(terms, pod, existingPod, existingPodNode, 1)
}
if hasAntiAffinityConstraints {
// For every soft pod anti-affinity term of <pod>, if <existingPod> matches the term,
// decrement <pm.counts> for every node in the cluster with the same <term.TopologyKey>
// value as that of <existingPod>`s node by the term`s weight.
terms := affinity.PodAntiAffinity.PreferredDuringSchedulingIgnoredDuringExecution
pm.processTerms(terms, pod, existingPod, existingPodNode, -1)
}
if existingHasAffinityConstraints {
// For every hard pod affinity term of <existingPod>, if <pod> matches the term,
// increment <pm.counts> for every node in the cluster with the same <term.TopologyKey>
// value as that of <existingPod>'s node by the constant <ipa.hardPodAffinityWeight>
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 {
pm.processTerm(&term, existingPod, pod, existingPodNode, float64(ipa.hardPodAffinityWeight))
}
}
// For every soft pod affinity term of <existingPod>, if <pod> matches the term,
// increment <pm.counts> for every node in the cluster with the same <term.TopologyKey>
// value as that of <existingPod>'s node by the term's weight.
terms := existingPodAffinity.PodAffinity.PreferredDuringSchedulingIgnoredDuringExecution
pm.processTerms(terms, existingPod, pod, existingPodNode, 1)
}
if existingHasAntiAffinityConstraints {
// For every soft pod anti-affinity term of <existingPod>, if <pod> matches the term,
// decrement <pm.counts> for every node in the cluster with the same <term.TopologyKey>
// value as that of <existingPod>'s node by the term's weight.
terms := existingPodAffinity.PodAntiAffinity.PreferredDuringSchedulingIgnoredDuringExecution
pm.processTerms(terms, existingPod, pod, existingPodNode, -1)
}
return nil
}
processNode := func(i int) {
nodeInfo := nodeNameToInfo[allNodeNames[i]]
if hasAffinityConstraints || hasAntiAffinityConstraints {
// We need to process all the nodes.
for _, existingPod := range nodeInfo.Pods() {
if err := processPod(existingPod); err != nil {
pm.setError(err)
}
}
} 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 {
pm.setError(err)
}
}
}
}
workqueue.Parallelize(16, len(allNodeNames), processNode)
if pm.firstError != nil {
return nil, pm.firstError
}
for _, node := range nodes {
if pm.counts[node.Name] > maxCount {
maxCount = pm.counts[node.Name]
}
if pm.counts[node.Name] < minCount {
minCount = pm.counts[node.Name]
}
}
// calculate final priority score for each node
result := make(schedulerapi.HostPriorityList, 0, len(nodes))
for _, node := range nodes {
fScore := float64(0)
if (maxCount - minCount) > 0 {
fScore = 10 * ((pm.counts[node.Name] - minCount) / (maxCount - minCount))
}
result = append(result, schedulerapi.HostPriority{Host: node.Name, Score: int(fScore)})
if glog.V(10) {
// We explicitly don't do glog.V(10).Infof() to avoid computing all the parameters if this is
// not logged. There is visible performance gain from it.
glog.V(10).Infof("%v -> %v: InterPodAffinityPriority, Score: (%d)", pod.Name, node.Name, int(fScore))
}
}
return result, nil
}