예제 #1
0
// Prioritizes the nodes by running the individual priority functions in parallel.
// Each priority function is expected to set a score of 0-10
// 0 is the lowest priority score (least preferred node) and 10 is the highest
// Each priority function can also have its own weight
// The node scores returned by the priority function are multiplied by the weights to get weighted scores
// All scores are finally combined (added) to get the total weighted scores of all nodes
func PrioritizeNodes(
	pod *api.Pod,
	nodeNameToInfo map[string]*schedulercache.NodeInfo,
	priorityConfigs []algorithm.PriorityConfig,
	nodes []*api.Node,
	extenders []algorithm.SchedulerExtender,
) (schedulerapi.HostPriorityList, error) {
	result := make(schedulerapi.HostPriorityList, 0, len(nodes))

	// If no priority configs are provided, then the EqualPriority function is applied
	// This is required to generate the priority list in the required format
	if len(priorityConfigs) == 0 && len(extenders) == 0 {
		return EqualPriority(pod, nodeNameToInfo, nodes)
	}

	var (
		mu             = sync.Mutex{}
		wg             = sync.WaitGroup{}
		combinedScores = make(map[string]int, len(nodeNameToInfo))
		errs           []error
	)

	meta := priorities.PriorityMetadata(pod, nodes)
	for _, priorityConfig := range priorityConfigs {
		// skip the priority function if the weight is specified as 0
		if priorityConfig.Weight == 0 {
			continue
		}

		wg.Add(1)
		go func(config algorithm.PriorityConfig) {
			defer wg.Done()
			weight := config.Weight

			prioritizedList, err := func() (schedulerapi.HostPriorityList, error) {
				if config.Function != nil {
					return config.Function(pod, nodeNameToInfo, nodes)
				}
				prioritizedList := make(schedulerapi.HostPriorityList, 0, len(nodes))
				for i := range nodes {
					hostResult, err := config.Map(pod, meta, nodeNameToInfo[nodes[i].Name])
					if err != nil {
						return nil, err
					}
					prioritizedList = append(prioritizedList, hostResult)
				}
				if config.Reduce != nil {
					if err := config.Reduce(prioritizedList); err != nil {
						return nil, err
					}
				}
				return prioritizedList, nil
			}()

			mu.Lock()
			defer mu.Unlock()
			if err != nil {
				errs = append(errs, err)
				return
			}
			for i := range prioritizedList {
				host, score := prioritizedList[i].Host, prioritizedList[i].Score
				combinedScores[host] += score * weight
			}
		}(priorityConfig)
	}
	// wait for all go routines to finish
	wg.Wait()
	if len(errs) != 0 {
		return schedulerapi.HostPriorityList{}, errors.NewAggregate(errs)
	}

	if len(extenders) != 0 && nodes != nil {
		for _, extender := range extenders {
			wg.Add(1)
			go func(ext algorithm.SchedulerExtender) {
				defer wg.Done()
				prioritizedList, weight, err := ext.Prioritize(pod, nodes)
				if err != nil {
					// Prioritization errors from extender can be ignored, let k8s/other extenders determine the priorities
					return
				}
				mu.Lock()
				for i := range *prioritizedList {
					host, score := (*prioritizedList)[i].Host, (*prioritizedList)[i].Score
					combinedScores[host] += score * weight
				}
				mu.Unlock()
			}(extender)
		}
	}
	// wait for all go routines to finish
	wg.Wait()

	for host, score := range combinedScores {
		glog.V(10).Infof("Host %s Score %d", host, score)
		result = append(result, schedulerapi.HostPriority{Host: host, Score: score})
	}
	return result, nil
}
예제 #2
0
// Prioritizes the nodes by running the individual priority functions in parallel.
// Each priority function is expected to set a score of 0-10
// 0 is the lowest priority score (least preferred node) and 10 is the highest
// Each priority function can also have its own weight
// The node scores returned by the priority function are multiplied by the weights to get weighted scores
// All scores are finally combined (added) to get the total weighted scores of all nodes
func PrioritizeNodes(
	pod *api.Pod,
	nodeNameToInfo map[string]*schedulercache.NodeInfo,
	priorityConfigs []algorithm.PriorityConfig,
	nodes []*api.Node,
	extenders []algorithm.SchedulerExtender,
) (schedulerapi.HostPriorityList, error) {
	// If no priority configs are provided, then the EqualPriority function is applied
	// This is required to generate the priority list in the required format
	if len(priorityConfigs) == 0 && len(extenders) == 0 {
		return EqualPriority(pod, nodeNameToInfo, nodes)
	}

	var (
		mu   = sync.Mutex{}
		wg   = sync.WaitGroup{}
		errs []error
	)
	appendError := func(err error) {
		mu.Lock()
		defer mu.Unlock()
		errs = append(errs, err)
	}

	meta := priorities.PriorityMetadata(pod)
	results := make([]schedulerapi.HostPriorityList, 0, len(priorityConfigs))
	for range priorityConfigs {
		results = append(results, nil)
	}
	for i, priorityConfig := range priorityConfigs {
		if priorityConfig.Function != nil {
			// DEPRECATED
			wg.Add(1)
			go func(index int, config algorithm.PriorityConfig) {
				defer wg.Done()
				var err error
				results[index], err = config.Function(pod, nodeNameToInfo, nodes)
				if err != nil {
					appendError(err)
				}
			}(i, priorityConfig)
		} else {
			results[i] = make(schedulerapi.HostPriorityList, len(nodes))
		}
	}
	processNode := func(index int) {
		nodeInfo := nodeNameToInfo[nodes[index].Name]
		var err error
		for i := range priorityConfigs {
			if priorityConfigs[i].Function != nil {
				continue
			}
			results[i][index], err = priorityConfigs[i].Map(pod, meta, nodeInfo)
			if err != nil {
				appendError(err)
				return
			}
		}
	}
	workqueue.Parallelize(16, len(nodes), processNode)
	for i, priorityConfig := range priorityConfigs {
		if priorityConfig.Reduce == nil {
			continue
		}
		wg.Add(1)
		go func(index int, config algorithm.PriorityConfig) {
			defer wg.Done()
			if err := config.Reduce(pod, results[index]); err != nil {
				appendError(err)
			}
		}(i, priorityConfig)
	}
	// Wait for all computations to be finished.
	wg.Wait()
	if len(errs) != 0 {
		return schedulerapi.HostPriorityList{}, errors.NewAggregate(errs)
	}

	// Summarize all scores.
	result := make(schedulerapi.HostPriorityList, 0, len(nodes))
	// TODO: Consider parallelizing it.
	for i := range nodes {
		result = append(result, schedulerapi.HostPriority{Host: nodes[i].Name, Score: 0})
		for j := range priorityConfigs {
			result[i].Score += results[j][i].Score * priorityConfigs[j].Weight
		}
	}

	if len(extenders) != 0 && nodes != nil {
		combinedScores := make(map[string]int, len(nodeNameToInfo))
		for _, extender := range extenders {
			wg.Add(1)
			go func(ext algorithm.SchedulerExtender) {
				defer wg.Done()
				prioritizedList, weight, err := ext.Prioritize(pod, nodes)
				if err != nil {
					// Prioritization errors from extender can be ignored, let k8s/other extenders determine the priorities
					return
				}
				mu.Lock()
				for i := range *prioritizedList {
					host, score := (*prioritizedList)[i].Host, (*prioritizedList)[i].Score
					combinedScores[host] += score * weight
				}
				mu.Unlock()
			}(extender)
		}
		// wait for all go routines to finish
		wg.Wait()
		for i := range result {
			result[i].Score += combinedScores[result[i].Host]
		}
	}

	if glog.V(10) {
		for i := range result {
			glog.V(10).Infof("Host %s => Score %d", result[i].Host, result[i].Score)
		}
	}
	return result, nil
}