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commit e241b33f26
1365 changed files with 339570 additions and 0 deletions

92
internal/wrr/edf.go Normal file
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/*
*
* Copyright 2019 gRPC 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 wrr
import (
"container/heap"
"sync"
)
// edfWrr is a struct for EDF weighted round robin implementation.
type edfWrr struct {
lock sync.Mutex
items edfPriorityQueue
currentOrderOffset uint64
currentTime float64
}
// NewEDF creates Earliest Deadline First (EDF)
// (https://en.wikipedia.org/wiki/Earliest_deadline_first_scheduling) implementation for weighted round robin.
// Each pick from the schedule has the earliest deadline entry selected. Entries have deadlines set
// at current time + 1 / weight, providing weighted round robin behavior with O(log n) pick time.
func NewEDF() WRR {
return &edfWrr{}
}
// edfEntry is an internal wrapper for item that also stores weight and relative position in the queue.
type edfEntry struct {
deadline float64
weight int64
orderOffset uint64
item any
}
// edfPriorityQueue is a heap.Interface implementation for edfEntry elements.
type edfPriorityQueue []*edfEntry
func (pq edfPriorityQueue) Len() int { return len(pq) }
func (pq edfPriorityQueue) Less(i, j int) bool {
return pq[i].deadline < pq[j].deadline || pq[i].deadline == pq[j].deadline && pq[i].orderOffset < pq[j].orderOffset
}
func (pq edfPriorityQueue) Swap(i, j int) { pq[i], pq[j] = pq[j], pq[i] }
func (pq *edfPriorityQueue) Push(x any) {
*pq = append(*pq, x.(*edfEntry))
}
func (pq *edfPriorityQueue) Pop() any {
old := *pq
*pq = old[0 : len(old)-1]
return old[len(old)-1]
}
func (edf *edfWrr) Add(item any, weight int64) {
edf.lock.Lock()
defer edf.lock.Unlock()
entry := edfEntry{
deadline: edf.currentTime + 1.0/float64(weight),
weight: weight,
item: item,
orderOffset: edf.currentOrderOffset,
}
edf.currentOrderOffset++
heap.Push(&edf.items, &entry)
}
func (edf *edfWrr) Next() any {
edf.lock.Lock()
defer edf.lock.Unlock()
if len(edf.items) == 0 {
return nil
}
item := edf.items[0]
edf.currentTime = item.deadline
item.deadline = edf.currentTime + 1.0/float64(item.weight)
heap.Fix(&edf.items, 0)
return item.item
}

35
internal/wrr/edf_test.go Normal file
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/*
*
* Copyright 2020 gRPC 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 wrr
import (
"testing"
)
func (s) TestEDFOnEndpointsWithSameWeight(t *testing.T) {
wrr := NewEDF()
wrr.Add("1", 1)
wrr.Add("2", 1)
wrr.Add("3", 1)
expected := []string{"1", "2", "3", "1", "2", "3", "1", "2", "3", "1", "2", "3"}
for i := 0; i < len(expected); i++ {
item := wrr.Next().(string)
if item != expected[i] {
t.Errorf("wrr Next=%s, want=%s", item, expected[i])
}
}
}

84
internal/wrr/random.go Normal file
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/*
*
* Copyright 2019 gRPC 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 wrr
import (
"fmt"
rand "math/rand/v2"
"sort"
)
// weightedItem is a wrapped weighted item that is used to implement weighted random algorithm.
type weightedItem struct {
item any
weight int64
accumulatedWeight int64
}
func (w *weightedItem) String() string {
return fmt.Sprint(*w)
}
// randomWRR is a struct that contains weighted items implement weighted random algorithm.
type randomWRR struct {
items []*weightedItem
// Are all item's weights equal
equalWeights bool
}
// NewRandom creates a new WRR with random.
func NewRandom() WRR {
return &randomWRR{}
}
var randInt64n = rand.Int64N
func (rw *randomWRR) Next() (item any) {
if len(rw.items) == 0 {
return nil
}
if rw.equalWeights {
return rw.items[randInt64n(int64(len(rw.items)))].item
}
sumOfWeights := rw.items[len(rw.items)-1].accumulatedWeight
// Random number in [0, sumOfWeights).
randomWeight := randInt64n(sumOfWeights)
// Item's accumulated weights are in ascending order, because item's weight >= 0.
// Binary search rw.items to find first item whose accumulatedWeight > randomWeight
// The return i is guaranteed to be in range [0, len(rw.items)) because randomWeight < last item's accumulatedWeight
i := sort.Search(len(rw.items), func(i int) bool { return rw.items[i].accumulatedWeight > randomWeight })
return rw.items[i].item
}
func (rw *randomWRR) Add(item any, weight int64) {
accumulatedWeight := weight
equalWeights := true
if len(rw.items) > 0 {
lastItem := rw.items[len(rw.items)-1]
accumulatedWeight = lastItem.accumulatedWeight + weight
equalWeights = rw.equalWeights && weight == lastItem.weight
}
rw.equalWeights = equalWeights
rItem := &weightedItem{item: item, weight: weight, accumulatedWeight: accumulatedWeight}
rw.items = append(rw.items, rItem)
}
func (rw *randomWRR) String() string {
return fmt.Sprint(rw.items)
}

32
internal/wrr/wrr.go Normal file
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/*
*
* Copyright 2019 gRPC 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 wrr contains the interface and common implementations of wrr
// algorithms.
package wrr
// WRR defines an interface that implements weighted round robin.
type WRR interface {
// Add adds an item with weight to the WRR set. Add must be only called
// before any calls to Next.
Add(item any, weight int64)
// Next returns the next picked item.
//
// Next needs to be thread safe. Add may not be called after any call to
// Next.
Next() any
}

193
internal/wrr/wrr_test.go Normal file
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/*
*
* Copyright 2019 gRPC 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 wrr
import (
"errors"
"math"
rand "math/rand/v2"
"strconv"
"testing"
"github.com/google/go-cmp/cmp"
"google.golang.org/grpc/internal/grpctest"
)
type s struct {
grpctest.Tester
}
func Test(t *testing.T) {
grpctest.RunSubTests(t, s{})
}
const iterCount = 10000
func equalApproximate(a, b float64) error {
opt := cmp.Comparer(func(x, y float64) bool {
delta := math.Abs(x - y)
mean := math.Abs(x+y) / 2.0
return delta/mean < 0.05
})
if !cmp.Equal(a, b, opt) {
return errors.New(cmp.Diff(a, b))
}
return nil
}
func testWRRNext(t *testing.T, newWRR func() WRR) {
tests := []struct {
name string
weights []int64
}{
{
name: "1-1-1",
weights: []int64{1, 1, 1},
},
{
name: "1-2-3",
weights: []int64{1, 2, 3},
},
{
name: "5-3-2",
weights: []int64{5, 3, 2},
},
{
name: "17-23-37",
weights: []int64{17, 23, 37},
},
{
name: "no items",
weights: []int64{},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
w := newWRR()
if len(tt.weights) == 0 {
if next := w.Next(); next != nil {
t.Fatalf("w.Next returns non nil value:%v when there is no item", next)
}
return
}
var sumOfWeights int64
for i, weight := range tt.weights {
w.Add(i, weight)
sumOfWeights += weight
}
results := make(map[int]int)
for i := 0; i < iterCount; i++ {
results[w.Next().(int)]++
}
wantRatio := make([]float64, len(tt.weights))
for i, weight := range tt.weights {
wantRatio[i] = float64(weight) / float64(sumOfWeights)
}
gotRatio := make([]float64, len(tt.weights))
for i, count := range results {
gotRatio[i] = float64(count) / iterCount
}
for i := range wantRatio {
if err := equalApproximate(gotRatio[i], wantRatio[i]); err != nil {
t.Errorf("%v not equal %v", i, err)
}
}
})
}
}
func (s) TestRandomWRRNext(t *testing.T) {
testWRRNext(t, NewRandom)
}
func (s) TestEdfWrrNext(t *testing.T) {
testWRRNext(t, NewEDF)
}
func BenchmarkRandomWRRNext(b *testing.B) {
for _, n := range []int{100, 500, 1000} {
b.Run("equal-weights-"+strconv.Itoa(n)+"-items", func(b *testing.B) {
w := NewRandom()
sumOfWeights := n
for i := 0; i < n; i++ {
w.Add(i, 1)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
for i := 0; i < sumOfWeights; i++ {
w.Next()
}
}
})
}
var maxWeight int64 = 1024
for _, n := range []int{100, 500, 1000} {
b.Run("random-weights-"+strconv.Itoa(n)+"-items", func(b *testing.B) {
w := NewRandom()
var sumOfWeights int64
for i := 0; i < n; i++ {
weight := rand.Int64N(maxWeight + 1)
w.Add(i, weight)
sumOfWeights += weight
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
for i := 0; i < int(sumOfWeights); i++ {
w.Next()
}
}
})
}
itemsNum := 200
heavyWeight := int64(itemsNum)
lightWeight := int64(1)
heavyIndices := []int{0, itemsNum / 2, itemsNum - 1}
for _, heavyIndex := range heavyIndices {
b.Run("skew-weights-heavy-index-"+strconv.Itoa(heavyIndex), func(b *testing.B) {
w := NewRandom()
var sumOfWeights int64
for i := 0; i < itemsNum; i++ {
var weight int64
if i == heavyIndex {
weight = heavyWeight
} else {
weight = lightWeight
}
sumOfWeights += weight
w.Add(i, weight)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
for i := 0; i < int(sumOfWeights); i++ {
w.Next()
}
}
})
}
}
func init() {
r := rand.New(rand.NewPCG(0, 0))
randInt64n = r.Int64N
}