mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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80 lines
1.9 KiB
Go
80 lines
1.9 KiB
Go
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/*
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*
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* Copyright 2019 gRPC authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package wrr
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import (
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"fmt"
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"sync"
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"google.golang.org/grpc/internal/grpcrand"
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)
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// weightedItem is a wrapped weighted item that is used to implement weighted random algorithm.
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type weightedItem struct {
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Item interface{}
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Weight int64
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}
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func (w *weightedItem) String() string {
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return fmt.Sprint(*w)
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}
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// randomWRR is a struct that contains weighted items implement weighted random algorithm.
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type randomWRR struct {
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mu sync.RWMutex
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items []*weightedItem
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sumOfWeights int64
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}
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// NewRandom creates a new WRR with random.
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func NewRandom() WRR {
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return &randomWRR{}
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}
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var grpcrandInt63n = grpcrand.Int63n
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func (rw *randomWRR) Next() (item interface{}) {
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rw.mu.RLock()
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defer rw.mu.RUnlock()
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if rw.sumOfWeights == 0 {
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return nil
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}
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// Random number in [0, sum).
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randomWeight := grpcrandInt63n(rw.sumOfWeights)
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for _, item := range rw.items {
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randomWeight = randomWeight - item.Weight
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if randomWeight < 0 {
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return item.Item
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}
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}
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return rw.items[len(rw.items)-1].Item
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}
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func (rw *randomWRR) Add(item interface{}, weight int64) {
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rw.mu.Lock()
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defer rw.mu.Unlock()
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rItem := &weightedItem{Item: item, Weight: weight}
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rw.items = append(rw.items, rItem)
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rw.sumOfWeights += weight
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}
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func (rw *randomWRR) String() string {
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return fmt.Sprint(rw.items)
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}
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