karmada/pkg/scheduler/core/util.go

124 lines
4.7 KiB
Go

package core
import (
"context"
"fmt"
"math"
"sort"
"k8s.io/apimachinery/pkg/util/sets"
"k8s.io/klog/v2"
clusterv1alpha1 "github.com/karmada-io/karmada/pkg/apis/cluster/v1alpha1"
policyv1alpha1 "github.com/karmada-io/karmada/pkg/apis/policy/v1alpha1"
workv1alpha2 "github.com/karmada-io/karmada/pkg/apis/work/v1alpha2"
estimatorclient "github.com/karmada-io/karmada/pkg/estimator/client"
"github.com/karmada-io/karmada/pkg/scheduler/cache"
"github.com/karmada-io/karmada/pkg/util"
)
func getDefaultWeightPreference(clusters []*clusterv1alpha1.Cluster) *policyv1alpha1.ClusterPreferences {
staticWeightLists := make([]policyv1alpha1.StaticClusterWeight, 0)
for _, cluster := range clusters {
staticWeightList := policyv1alpha1.StaticClusterWeight{
TargetCluster: policyv1alpha1.ClusterAffinity{
ClusterNames: []string{cluster.Name},
},
Weight: 1,
}
staticWeightLists = append(staticWeightLists, staticWeightList)
}
return &policyv1alpha1.ClusterPreferences{
StaticWeightList: staticWeightLists,
}
}
func calAvailableReplicas(clusters []*clusterv1alpha1.Cluster, spec *workv1alpha2.ResourceBindingSpec) []workv1alpha2.TargetCluster {
availableTargetClusters := make([]workv1alpha2.TargetCluster, len(clusters))
// Set the boundary.
for i := range availableTargetClusters {
availableTargetClusters[i].Name = clusters[i].Name
availableTargetClusters[i].Replicas = math.MaxInt32
}
// Get the minimum value of MaxAvailableReplicas in terms of all estimators.
estimators := estimatorclient.GetReplicaEstimators()
ctx := context.WithValue(context.TODO(), util.ContextKeyObject,
fmt.Sprintf("kind=%s, name=%s/%s", spec.Resource.Kind, spec.Resource.Namespace, spec.Resource.Name))
for _, estimator := range estimators {
res, err := estimator.MaxAvailableReplicas(ctx, clusters, spec.ReplicaRequirements)
if err != nil {
klog.Errorf("Max cluster available replicas error: %v", err)
continue
}
for i := range res {
if res[i].Replicas == estimatorclient.UnauthenticReplica {
continue
}
if availableTargetClusters[i].Name == res[i].Name && availableTargetClusters[i].Replicas > res[i].Replicas {
availableTargetClusters[i].Replicas = res[i].Replicas
}
}
}
// In most cases, the target cluster max available replicas should not be MaxInt32 unless the workload is best-effort
// and the scheduler-estimator has not been enabled. So we set the replicas to spec.Replicas for avoiding overflow.
for i := range availableTargetClusters {
if availableTargetClusters[i].Replicas == math.MaxInt32 {
availableTargetClusters[i].Replicas = spec.Replicas
}
}
sort.Sort(TargetClustersList(availableTargetClusters))
klog.V(4).Infof("Target cluster: %v", availableTargetClusters)
return availableTargetClusters
}
func getPreSelected(targetClusters []workv1alpha2.TargetCluster, schedulerCache cache.Cache) []*clusterv1alpha1.Cluster {
var preSelectedClusters []*clusterv1alpha1.Cluster
clusterInfoSnapshot := schedulerCache.Snapshot()
for _, targetCluster := range targetClusters {
for _, cluster := range clusterInfoSnapshot.GetClusters() {
if targetCluster.Name == cluster.Cluster().Name {
preSelectedClusters = append(preSelectedClusters, cluster.Cluster())
break
}
}
}
return preSelectedClusters
}
// presortClusterList is used to make sure preUsedClusterNames are in front of the other clusters in the list of
// clusterAvailableReplicas so that we can assign new replicas to them preferentially when scale up.
// Note that preUsedClusterNames have none items during first scheduler
func presortClusterList(clusterAvailableReplicas []workv1alpha2.TargetCluster, preUsedClusterNames ...string) []workv1alpha2.TargetCluster {
if len(preUsedClusterNames) == 0 {
return clusterAvailableReplicas
}
preUsedClusterSet := sets.NewString(preUsedClusterNames...)
var preUsedCluster []workv1alpha2.TargetCluster
var unUsedCluster []workv1alpha2.TargetCluster
for i := range clusterAvailableReplicas {
if preUsedClusterSet.Has(clusterAvailableReplicas[i].Name) {
preUsedCluster = append(preUsedCluster, clusterAvailableReplicas[i])
} else {
unUsedCluster = append(unUsedCluster, clusterAvailableReplicas[i])
}
}
clusterAvailableReplicas = append(preUsedCluster, unUsedCluster...)
klog.V(4).Infof("resorted target cluster: %v", clusterAvailableReplicas)
return clusterAvailableReplicas
}
// calcReservedCluster eliminates the not-ready clusters from the 'bindClusters'.
func calcReservedCluster(bindClusters, readyClusters sets.String) sets.String {
return bindClusters.Difference(bindClusters.Difference(readyClusters))
}
// calcAvailableCluster returns a list of ready clusters that not in 'bindClusters'.
func calcAvailableCluster(bindCluster, readyClusters sets.String) sets.String {
return readyClusters.Difference(bindCluster)
}