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searcher.go
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/
searcher.go
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/*
* Copyright 2020 The Dragonfly 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 searcher
import (
"context"
"errors"
"fmt"
"strings"
"github.com/mitchellh/mapstructure"
logger "d7y.io/dragonfly/v2/internal/dflog"
"d7y.io/dragonfly/v2/manager/model"
"d7y.io/dragonfly/v2/pkg/rpc/manager"
"d7y.io/dragonfly/v2/pkg/util/mathutils"
)
const (
// Condition security domain key
ConditionSecurityDomain = "security_domain"
// Condition IDC key
ConditionIDC = "idc"
// Condition netTopology key
ConditionNetTopology = "net_topology"
// Condition location key
ConditionLocation = "location"
)
const (
// IDC affinity weight
idcAffinityWeight float64 = 0.5
// NetTopology affinity weight
netTopologyAffinityWeight = 0.3
// Location affinity weight
locationAffinityWeight = 0.2
)
const (
// Maximum score
maxScore float64 = 1.0
// Minimum score
minScore = 0
)
const (
// Maximum number of elements
maxElementLen = 5
)
type Scopes struct {
IDC string `mapstructure:"idc"`
Location string `mapstructure:"location"`
NetTopology string `mapstructure:"net_topology"`
}
type Searcher interface {
FindSchedulerCluster(context.Context, []model.SchedulerCluster, *manager.ListSchedulersRequest) (model.SchedulerCluster, error)
}
type searcher struct{}
func New(pluginDir string) Searcher {
s, err := LoadPlugin(pluginDir)
if err != nil {
logger.Info("use default searcher")
return &searcher{}
}
logger.Info("use searcher plugin")
return s
}
func (s *searcher) FindSchedulerCluster(ctx context.Context, schedulerClusters []model.SchedulerCluster, client *manager.ListSchedulersRequest) (model.SchedulerCluster, error) {
conditions := client.HostInfo
if len(conditions) <= 0 {
return model.SchedulerCluster{}, errors.New("empty conditions")
}
if len(schedulerClusters) <= 0 {
return model.SchedulerCluster{}, errors.New("empty scheduler clusters")
}
// If there are security domain conditions, match clusters of the same security domain.
// If the security domain condition does not exist, it will match all scheduler security domains.
// Then use clusters sets to score according to scopes.
var clusters []model.SchedulerCluster
securityDomain := conditions[ConditionSecurityDomain]
if securityDomain == "" {
logger.Infof("dfdaemon %s %s have empty security domain", client.HostName, client.Ip)
}
for _, schedulerCluster := range schedulerClusters {
if len(schedulerCluster.Schedulers) > 0 {
if securityDomain == "" {
clusters = append(clusters, schedulerCluster)
} else {
for _, securityRule := range schedulerCluster.SecurityGroup.SecurityRules {
if strings.Compare(securityRule.Domain, securityDomain) == 0 {
clusters = append(clusters, schedulerCluster)
}
}
}
}
}
switch len(clusters) {
case 0:
// If the security domain does not match, there is no cluster available
return model.SchedulerCluster{}, fmt.Errorf("security domain %s does not match", securityDomain)
case 1:
// If only one cluster matches the security domain, return the cluster directly
return clusters[0], nil
default:
// If there are multiple clusters matching the security domain,
// select the schuelder cluster with a higher score
var maxScore float64 = 0
result := clusters[0]
for _, cluster := range clusters {
var scopes Scopes
if err := mapstructure.Decode(cluster.Scopes, &scopes); err != nil {
logger.Infof("cluster %s decode scopes failed: %v", cluster.Name, err)
// Scopes parse failed to skip this evaluation
continue
}
score := Evaluate(conditions, scopes)
if score > maxScore {
maxScore = score
result = cluster
}
}
return result, nil
}
}
// Evaluate the degree of matching between scheduler cluster and dfdaemon
func Evaluate(conditions map[string]string, scopes Scopes) float64 {
return idcAffinityWeight*calculateIDCAffinityScore(conditions[ConditionIDC], scopes.IDC) +
locationAffinityWeight*calculateMultiElementAffinityScore(conditions[ConditionLocation], scopes.Location) +
netTopologyAffinityWeight*calculateMultiElementAffinityScore(conditions[ConditionNetTopology], scopes.NetTopology)
}
// calculateIDCAffinityScore 0.0~1.0 larger and better
func calculateIDCAffinityScore(dst, src string) float64 {
if dst == "" || src == "" {
return minScore
}
if strings.Compare(dst, src) == 0 {
return maxScore
}
// Dst has only one element, src has multiple elements separated by "|".
// When dst element matches one of the multiple elements of src,
// it gets the max score of idc.
srcElements := strings.Split(src, "|")
for _, srcElement := range srcElements {
if strings.Compare(dst, srcElement) == 0 {
return maxScore
}
}
return minScore
}
// calculateMultiElementAffinityScore 0.0~1.0 larger and better
func calculateMultiElementAffinityScore(dst, src string) float64 {
if dst == "" || src == "" {
return minScore
}
if strings.Compare(dst, src) == 0 {
return maxScore
}
// Calculate the number of multi-element matches divided by "|"
var score, elementLen int
dstElements := strings.Split(dst, "|")
srcElements := strings.Split(src, "|")
elementLen = mathutils.MaxInt(len(dstElements), len(srcElements))
// Maximum element length is 5
if elementLen > maxElementLen {
elementLen = maxElementLen
}
for i := 0; i < elementLen; i++ {
if strings.Compare(dstElements[i], srcElements[i]) != 0 {
break
}
score++
}
return float64(score) / float64(maxElementLen)
}