hdx/vendor/cloud.google.com/go/pubsub/internal/distribution/distribution.go
Derek McQuay 59af8fc84f
initial commit
Signed-off-by: Derek McQuay <derekmcquay@gmail.com>
2018-04-10 19:17:26 -07:00

71 lines
2.0 KiB
Go

// Copyright 2017 Google Inc. All Rights Reserved.
//
// 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 distribution
import (
"log"
"math"
"sort"
"sync/atomic"
)
// D is a distribution. Methods of D can be called concurrently by multiple
// goroutines.
type D struct {
buckets []uint64
}
// New creates a new distribution capable of holding values from 0 to n-1.
func New(n int) *D {
return &D{
buckets: make([]uint64, n),
}
}
// Record records value v to the distribution.
// To help with distributions with long tails, if v is larger than the maximum value,
// Record records the maximum value instead.
// If v is negative, Record panics.
func (d *D) Record(v int) {
if v < 0 {
log.Panicf("Record: value out of range: %d", v)
} else if v >= len(d.buckets) {
v = len(d.buckets) - 1
}
atomic.AddUint64(&d.buckets[v], 1)
}
// Percentile computes the p-th percentile of the distribution where
// p is between 0 and 1.
func (d *D) Percentile(p float64) int {
// NOTE: This implementation uses the nearest-rank method.
// https://en.wikipedia.org/wiki/Percentile#The_nearest-rank_method
if p < 0 || p > 1 {
log.Panicf("Percentile: percentile out of range: %f", p)
}
bucketSums := make([]uint64, len(d.buckets))
var sum uint64
for i := range bucketSums {
sum += atomic.LoadUint64(&d.buckets[i])
bucketSums[i] = sum
}
total := bucketSums[len(bucketSums)-1]
target := uint64(math.Ceil(float64(total) * p))
return sort.Search(len(bucketSums), func(i int) bool { return bucketSums[i] >= target })
}