generic_scheduler.go

/*
Copyright 2014 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 core

import (
	"fmt"
	"sort"
	"strings"
	"sync"
	"sync/atomic"
	"time"

	"github.com/golang/glog"
	"k8s.io/apimachinery/pkg/util/errors"
	utiltrace "k8s.io/apiserver/pkg/util/trace"
	"k8s.io/client-go/util/workqueue"
	"k8s.io/kubernetes/pkg/api/v1"
	"k8s.io/kubernetes/plugin/pkg/scheduler/algorithm"
	"k8s.io/kubernetes/plugin/pkg/scheduler/algorithm/predicates"
	schedulerapi "k8s.io/kubernetes/plugin/pkg/scheduler/api"
	"k8s.io/kubernetes/plugin/pkg/scheduler/schedulercache"
)

type FailedPredicateMap map[string][]algorithm.PredicateFailureReason

type FitError struct {
	Pod              *v1.Pod
	FailedPredicates FailedPredicateMap
}

var ErrNoNodesAvailable = fmt.Errorf("no nodes available to schedule pods")

const NoNodeAvailableMsg = "No nodes are available that match all of the following predicates:"

// Error returns detailed information of why the pod failed to fit on each node
func (f *FitError) Error() string {
	reasons := make(map[string]int)
	for _, predicates := range f.FailedPredicates {
		for _, pred := range predicates {
			reasons[pred.GetReason()] += 1
		}
	}

	sortReasonsHistogram := func() []string {
		reasonStrings := []string{}
		for k, v := range reasons {
			reasonStrings = append(reasonStrings, fmt.Sprintf("%v (%v)", k, v))
		}
		sort.Strings(reasonStrings)
		return reasonStrings
	}
	reasonMsg := fmt.Sprintf(NoNodeAvailableMsg+": %v.", strings.Join(sortReasonsHistogram(), ", "))
	return reasonMsg
}

type genericScheduler struct {
	cache                 schedulercache.Cache
	predicates            map[string]algorithm.FitPredicate
	priorityMetaProducer  algorithm.MetadataProducer
	predicateMetaProducer algorithm.MetadataProducer
	prioritizers          []algorithm.PriorityConfig
	extenders             []algorithm.SchedulerExtender
	pods                  algorithm.PodLister
	lastNodeIndexLock     sync.Mutex
	lastNodeIndex         uint64

	cachedNodeInfoMap map[string]*schedulercache.NodeInfo

	equivalenceCache *EquivalenceCache
}

// Schedule tries to schedule the given pod to one of node in the node list.
// If it succeeds, it will return the name of the node.
// If it fails, it will return a Fiterror error with reasons.
func (g *genericScheduler) Schedule(pod *v1.Pod, nodeLister algorithm.NodeLister) (string, error) {
	trace := utiltrace.New(fmt.Sprintf("Scheduling %s/%s", pod.Namespace, pod.Name))
	defer trace.LogIfLong(100 * time.Millisecond)

	nodes, err := nodeLister.List()
	if err != nil {
		return "", err
	}
	if len(nodes) == 0 {
		return "", ErrNoNodesAvailable
	}

	// Used for all fit and priority funcs.
	err = g.cache.UpdateNodeNameToInfoMap(g.cachedNodeInfoMap)
	if err != nil {
		return "", err
	}

	// TODO(harryz) Check if equivalenceCache is enabled and call scheduleWithEquivalenceClass here

	trace.Step("Computing predicates")
	filteredNodes, failedPredicateMap, err := findNodesThatFit(pod, g.cachedNodeInfoMap, nodes, g.predicates, g.extenders, g.predicateMetaProducer)
	if err != nil {
		return "", err
	}

	if len(filteredNodes) == 0 {
		return "", &FitError{
			Pod:              pod,
			FailedPredicates: failedPredicateMap,
		}
	}

	trace.Step("Prioritizing")
	metaPrioritiesInterface := g.priorityMetaProducer(pod, g.cachedNodeInfoMap)
	priorityList, err := PrioritizeNodes(pod, g.cachedNodeInfoMap, metaPrioritiesInterface, g.prioritizers, filteredNodes, g.extenders)
	if err != nil {
		return "", err
	}

	trace.Step("Selecting host")
	return g.selectHost(priorityList)
}

// selectHost takes a prioritized list of nodes and then picks one
// in a round-robin manner from the nodes that had the highest score.
func (g *genericScheduler) selectHost(priorityList schedulerapi.HostPriorityList) (string, error) {
	if len(priorityList) == 0 {
		return "", fmt.Errorf("empty priorityList")
	}

	sort.Sort(sort.Reverse(priorityList))
	maxScore := priorityList[0].Score
	firstAfterMaxScore := sort.Search(len(priorityList), func(i int) bool { return priorityList[i].Score < maxScore })

	g.lastNodeIndexLock.Lock()
	ix := int(g.lastNodeIndex % uint64(firstAfterMaxScore))
	g.lastNodeIndex++
	g.lastNodeIndexLock.Unlock()

	return priorityList[ix].Host, nil
}

// Filters the nodes to find the ones that fit based on the given predicate functions
// Each node is passed through the predicate functions to determine if it is a fit
func findNodesThatFit(
	pod *v1.Pod,
	nodeNameToInfo map[string]*schedulercache.NodeInfo,
	nodes []*v1.Node,
	predicateFuncs map[string]algorithm.FitPredicate,
	extenders []algorithm.SchedulerExtender,
	metadataProducer algorithm.MetadataProducer,
) ([]*v1.Node, FailedPredicateMap, error) {
	var filtered []*v1.Node
	failedPredicateMap := FailedPredicateMap{}

	if len(predicateFuncs) == 0 {
		filtered = nodes
	} else {
		// Create filtered list with enough space to avoid growing it
		// and allow assigning.
		filtered = make([]*v1.Node, len(nodes))
		errs := []error{}
		var predicateResultLock sync.Mutex
		var filteredLen int32

		// We can use the same metadata producer for all nodes.
		meta := metadataProducer(pod, nodeNameToInfo)
		checkNode := func(i int) {
			nodeName := nodes[i].Name
			fits, failedPredicates, err := podFitsOnNode(pod, meta, nodeNameToInfo[nodeName], predicateFuncs)
			if err != nil {
				predicateResultLock.Lock()
				errs = append(errs, err)
				predicateResultLock.Unlock()
				return
			}
			if fits {
				filtered[atomic.AddInt32(&filteredLen, 1)-1] = nodes[i]
			} else {
				predicateResultLock.Lock()
				failedPredicateMap[nodeName] = failedPredicates
				predicateResultLock.Unlock()
			}
		}
		workqueue.Parallelize(16, len(nodes), checkNode)
		filtered = filtered[:filteredLen]
		if len(errs) > 0 {
			return []*v1.Node{}, FailedPredicateMap{}, errors.NewAggregate(errs)
		}
	}

	if len(filtered) > 0 && len(extenders) != 0 {
		for _, extender := range extenders {
			filteredList, failedMap, err := extender.Filter(pod, filtered, nodeNameToInfo)
			if err != nil {
				return []*v1.Node{}, FailedPredicateMap{}, err
			}

			for failedNodeName, failedMsg := range failedMap {
				if _, found := failedPredicateMap[failedNodeName]; !found {
					failedPredicateMap[failedNodeName] = []algorithm.PredicateFailureReason{}
				}
				failedPredicateMap[failedNodeName] = append(failedPredicateMap[failedNodeName], predicates.NewFailureReason(failedMsg))
			}
			filtered = filteredList
			if len(filtered) == 0 {
				break
			}
		}
	}
	return filtered, failedPredicateMap, nil
}

// Checks whether node with a given name and NodeInfo satisfies all predicateFuncs.
func podFitsOnNode(pod *v1.Pod, meta interface{}, info *schedulercache.NodeInfo, predicateFuncs map[string]algorithm.FitPredicate) (bool, []algorithm.PredicateFailureReason, error) {
	var failedPredicates []algorithm.PredicateFailureReason
	for _, predicate := range predicateFuncs {
		fit, reasons, err := predicate(pod, meta, info)
		if err != nil {
			err := fmt.Errorf("SchedulerPredicates failed due to %v, which is unexpected.", err)
			return false, []algorithm.PredicateFailureReason{}, err
		}
		if !fit {
			failedPredicates = append(failedPredicates, reasons...)
		}
	}
	return len(failedPredicates) == 0, failedPredicates, nil
}

// 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 *v1.Pod,
	nodeNameToInfo map[string]*schedulercache.NodeInfo,
	meta interface{},
	priorityConfigs []algorithm.PriorityConfig,
	nodes []*v1.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 {
		result := make(schedulerapi.HostPriorityList, 0, len(nodes))
		for i := range nodes {
			hostPriority, err := EqualPriorityMap(pod, meta, nodeNameToInfo[nodes[i].Name])
			if err != nil {
				return nil, err
			}
			result = append(result, hostPriority)
		}
		return result, nil
	}

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

	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, meta, nodeNameToInfo, 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
}

// EqualPriority is a prioritizer function that gives an equal weight of one to all nodes
func EqualPriorityMap(_ *v1.Pod, _ interface{}, nodeInfo *schedulercache.NodeInfo) (schedulerapi.HostPriority, error) {
	node := nodeInfo.Node()
	if node == nil {
		return schedulerapi.HostPriority{}, fmt.Errorf("node not found")
	}
	return schedulerapi.HostPriority{
		Host:  node.Name,
		Score: 1,
	}, nil
}

func NewGenericScheduler(
	cache schedulercache.Cache,
	predicates map[string]algorithm.FitPredicate,
	predicateMetaProducer algorithm.MetadataProducer,
	prioritizers []algorithm.PriorityConfig,
	priorityMetaProducer algorithm.MetadataProducer,
	extenders []algorithm.SchedulerExtender) algorithm.ScheduleAlgorithm {
	return &genericScheduler{
		cache:                 cache,
		predicates:            predicates,
		predicateMetaProducer: predicateMetaProducer,
		prioritizers:          prioritizers,
		priorityMetaProducer:  priorityMetaProducer,
		extenders:             extenders,
		cachedNodeInfoMap:     make(map[string]*schedulercache.NodeInfo),
	}
}