open-nomad/scheduler/select.go

120 lines
3.2 KiB
Go

// Copyright (c) HashiCorp, Inc.
// SPDX-License-Identifier: MPL-2.0
package scheduler
// LimitIterator is a RankIterator used to limit the number of options
// that are returned before we artificially end the stream.
type LimitIterator struct {
ctx Context
source RankIterator
limit int
maxSkip int
scoreThreshold float64
seen int
skippedNodes []*RankedNode
skippedNodeIndex int
}
// NewLimitIterator returns a LimitIterator with a fixed limit of returned options.
// Up to maxSkip options whose score is below scoreThreshold are skipped
// if there are additional options available in the source iterator
func NewLimitIterator(ctx Context, source RankIterator, limit int, scoreThreshold float64, maxSkip int) *LimitIterator {
iter := &LimitIterator{
ctx: ctx,
source: source,
limit: limit,
maxSkip: maxSkip,
scoreThreshold: scoreThreshold,
skippedNodes: make([]*RankedNode, 0, maxSkip),
}
return iter
}
func (iter *LimitIterator) SetLimit(limit int) {
iter.limit = limit
}
func (iter *LimitIterator) Next() *RankedNode {
if iter.seen == iter.limit {
return nil
}
option := iter.nextOption()
if option == nil {
return nil
}
if len(iter.skippedNodes) < iter.maxSkip {
// Try skipping ahead up to maxSkip to find an option with score lesser than the threshold
for option != nil && option.FinalScore <= iter.scoreThreshold && len(iter.skippedNodes) < iter.maxSkip {
iter.skippedNodes = append(iter.skippedNodes, option)
option = iter.source.Next()
}
}
iter.seen += 1
if option == nil { // Didn't find anything, so use the skipped nodes instead
return iter.nextOption()
}
return option
}
// nextOption uses the iterator's list of skipped nodes if the source iterator is exhausted
func (iter *LimitIterator) nextOption() *RankedNode {
sourceOption := iter.source.Next()
if sourceOption == nil && iter.skippedNodeIndex < len(iter.skippedNodes) {
skippedOption := iter.skippedNodes[iter.skippedNodeIndex]
iter.skippedNodeIndex += 1
return skippedOption
}
return sourceOption
}
func (iter *LimitIterator) Reset() {
iter.source.Reset()
iter.seen = 0
iter.skippedNodes = make([]*RankedNode, 0, iter.maxSkip)
iter.skippedNodeIndex = 0
}
// MaxScoreIterator is a RankIterator used to return only a single result
// of the item with the highest score. This iterator will consume all of the
// possible inputs and only returns the highest ranking result.
type MaxScoreIterator struct {
ctx Context
source RankIterator
max *RankedNode
}
// NewMaxScoreIterator returns a MaxScoreIterator over the given source
func NewMaxScoreIterator(ctx Context, source RankIterator) *MaxScoreIterator {
iter := &MaxScoreIterator{
ctx: ctx,
source: source,
}
return iter
}
func (iter *MaxScoreIterator) Next() *RankedNode {
// Check if we've found the max, return nil
if iter.max != nil {
return nil
}
// Consume and determine the max
for {
option := iter.source.Next()
if option == nil {
return iter.max
}
if iter.max == nil || option.FinalScore > iter.max.FinalScore {
iter.max = option
}
}
}
func (iter *MaxScoreIterator) Reset() {
iter.source.Reset()
iter.max = nil
}