wrr: improve randomWRR performance

internal/wrr/random.go

@@ -19,15 +19,17 @@ package wrr
 
 import (
 	"fmt"
+	"sort"
 	"sync"
 
 	"google.golang.org/grpc/internal/grpcrand"
 )
 
 // weightedItem is a wrapped weighted item that is used to implement weighted random algorithm.
 type weightedItem struct {
-	Item   interface{}
-	Weight int64
+	item              interface{}
+	weight            int64
+	accumulatedWeight int64
 }
 
 func (w *weightedItem) String() string {
@@ -36,9 +38,10 @@ func (w *weightedItem) String() string {
 
 // randomWRR is a struct that contains weighted items implement weighted random algorithm.
 type randomWRR struct {
-	mu           sync.RWMutex
-	items        []*weightedItem
-	sumOfWeights int64
+	mu    sync.RWMutex
+	items []*weightedItem
+	// Are all item's weights equal
+	equalWeights bool
 }
 
 // NewRandom creates a new WRR with random.
@@ -51,27 +54,36 @@ var grpcrandInt63n = grpcrand.Int63n
 func (rw *randomWRR) Next() (item interface{}) {
 	rw.mu.RLock()
 	defer rw.mu.RUnlock()
-	if rw.sumOfWeights == 0 {
+	if len(rw.items) == 0 {
 		return nil
 	}
-	// Random number in [0, sum).
-	randomWeight := grpcrandInt63n(rw.sumOfWeights)
-	for _, item := range rw.items {
-		randomWeight = randomWeight - item.Weight
-		if randomWeight < 0 {
-			return item.Item
-		}
+	if rw.equalWeights {
+		return rw.items[grpcrandInt63n(int64(len(rw.items)))].item
 	}
 
-	return rw.items[len(rw.items)-1].Item
+	sumOfWeights := rw.items[len(rw.items)-1].accumulatedWeight
+	// Random number in [0, sumOfWeights).
+	randomWeight := grpcrandInt63n(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 interface{}, weight int64) {
 	rw.mu.Lock()
 	defer rw.mu.Unlock()
-	rItem := &weightedItem{Item: item, Weight: weight}
+	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)
-	rw.sumOfWeights += weight
 }
 
 func (rw *randomWRR) String() string {

internal/wrr/wrr_test.go

@@ -21,6 +21,7 @@ import (
 	"errors"
 	"math"
 	"math/rand"
+	"strconv"
 	"testing"
 
 	"github.com/google/go-cmp/cmp"
@@ -70,12 +71,22 @@ func testWRRNext(t *testing.T, newWRR func() WRR) {
 			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) {
-			var sumOfWeights int64
-
 			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
@@ -112,6 +123,70 @@ 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.Int63n(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.NewSource(0))
 	grpcrandInt63n = r.Int63n