cadvisor/sampling/es.go
2014-06-09 12:12:07 -07:00

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// Copyright 2014 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 sampling
import (
"container/heap"
"math"
"math/rand"
"sync"
)
type esSampleItem struct {
data interface{}
key float64
}
type esSampleHeap []esSampleItem
func (self esSampleHeap) Len() int {
return len(self)
}
func (self esSampleHeap) Less(i, j int) bool {
return self[i].key < self[j].key
}
func (self esSampleHeap) Swap(i, j int) {
self[i], self[j] = self[j], self[i]
}
func (self *esSampleHeap) Push(x interface{}) {
item := x.(esSampleItem)
*self = append(*self, item)
}
func (self *esSampleHeap) Pop() interface{} {
old := *self
item := old[len(old)-1]
*self = old[:len(old)-1]
return item
}
type esSampler struct {
weight func(interface{}) float64
samples *esSampleHeap
maxSize int
lock sync.RWMutex
}
func (self *esSampler) Update(d interface{}) {
self.lock.Lock()
defer self.lock.Unlock()
u := rand.Float64()
key := math.Pow(u, 1.0/self.weight(d))
if self.samples.Len() < self.maxSize {
heap.Push(self.samples, esSampleItem{
data: d,
key: key,
})
return
}
s := *(self.samples)
min := s[0]
// The key of the new item is larger than a key in existing item.
// Add this new item.
if key > min.key {
heap.Pop(self.samples)
heap.Push(self.samples, esSampleItem{
data: d,
key: key,
})
}
}
func (self *esSampler) Len() int {
self.lock.RLock()
defer self.lock.RUnlock()
return len(*self.samples)
}
func (self *esSampler) Reset() {
self.lock.Lock()
defer self.lock.Unlock()
self.samples = &esSampleHeap{}
heap.Init(self.samples)
}
func (self *esSampler) Map(f func(interface{})) {
self.lock.RLock()
defer self.lock.RUnlock()
for _, d := range *self.samples {
f(d.data)
}
}
func (self *esSampler) Filter(filter func(d interface{}) bool) {
self.lock.Lock()
defer self.lock.Unlock()
rmlist := make([]int, 0, len(*self.samples))
for i, d := range *self.samples {
if filter(d.data) {
rmlist = append(rmlist, i)
}
}
for _, i := range rmlist {
heap.Remove(self.samples, i)
}
}
// ES sampling algorithm described in
//
// Pavlos S. Efraimidis and Paul G. Spirakis. Weighted random sampling with a
// reservoir. Information Processing Letters, 97(5):181 185, 2006.
//
// http://dl.acm.org/citation.cfm?id=1138834
func NewESSampler(size int, weight func(interface{}) float64) Sampler {
s := &esSampleHeap{}
heap.Init(s)
return &esSampler{
maxSize: size,
samples: s,
weight: weight,
}
}