25'ten fazla konu seçemezsiniz
Konular bir harf veya rakamla başlamalı, kısa çizgiler ('-') içerebilir ve en fazla 35 karakter uzunluğunda olabilir.
272 satır
5.1 KiB
272 satır
5.1 KiB
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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#include "util/histogram.h"
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#include <math.h>
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#include <stdio.h>
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#include "port/port.h"
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namespace leveldb {
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const double Histogram::kBucketLimit[kNumBuckets] = {
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1,
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2,
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3,
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4,
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5,
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6,
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7,
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8,
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9,
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10,
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12,
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14,
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16,
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18,
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20,
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25,
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30,
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35,
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40,
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45,
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50,
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60,
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70,
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80,
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90,
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100,
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120,
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140,
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160,
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180,
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200,
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250,
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300,
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350,
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400,
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450,
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500,
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600,
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700,
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800,
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900,
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1000,
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1200,
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1400,
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1600,
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1800,
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2000,
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2500,
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3000,
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3500,
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4000,
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4500,
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5000,
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6000,
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7000,
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8000,
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9000,
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10000,
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12000,
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14000,
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16000,
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18000,
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20000,
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25000,
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30000,
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35000,
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40000,
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45000,
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50000,
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60000,
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70000,
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80000,
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90000,
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100000,
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120000,
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140000,
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160000,
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180000,
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200000,
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250000,
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300000,
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350000,
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400000,
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450000,
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500000,
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600000,
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700000,
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800000,
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900000,
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1000000,
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1200000,
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1400000,
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1600000,
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1800000,
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2000000,
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2500000,
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3000000,
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3500000,
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4000000,
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4500000,
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5000000,
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6000000,
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7000000,
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8000000,
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9000000,
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10000000,
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12000000,
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14000000,
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16000000,
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18000000,
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20000000,
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25000000,
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30000000,
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35000000,
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40000000,
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45000000,
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50000000,
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60000000,
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70000000,
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80000000,
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90000000,
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100000000,
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120000000,
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140000000,
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160000000,
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180000000,
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200000000,
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250000000,
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300000000,
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350000000,
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400000000,
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450000000,
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500000000,
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600000000,
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700000000,
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800000000,
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900000000,
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1000000000,
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1200000000,
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1400000000,
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1600000000,
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1800000000,
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2000000000,
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2500000000.0,
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3000000000.0,
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3500000000.0,
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4000000000.0,
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4500000000.0,
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5000000000.0,
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6000000000.0,
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7000000000.0,
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8000000000.0,
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9000000000.0,
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1e200,
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};
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void Histogram::Clear() {
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min_ = kBucketLimit[kNumBuckets - 1];
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max_ = 0;
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num_ = 0;
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sum_ = 0;
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sum_squares_ = 0;
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for (int i = 0; i < kNumBuckets; i++) {
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buckets_[i] = 0;
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}
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}
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void Histogram::Add(double value) {
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// Linear search is fast enough for our usage in db_bench
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int b = 0;
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while (b < kNumBuckets - 1 && kBucketLimit[b] <= value) {
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b++;
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}
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buckets_[b] += 1.0;
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if (min_ > value) min_ = value;
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if (max_ < value) max_ = value;
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num_++;
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sum_ += value;
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sum_squares_ += (value * value);
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}
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void Histogram::Merge(const Histogram& other) {
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if (other.min_ < min_) min_ = other.min_;
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if (other.max_ > max_) max_ = other.max_;
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num_ += other.num_;
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sum_ += other.sum_;
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sum_squares_ += other.sum_squares_;
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for (int b = 0; b < kNumBuckets; b++) {
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buckets_[b] += other.buckets_[b];
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}
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}
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double Histogram::Median() const { return Percentile(50.0); }
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double Histogram::Percentile(double p) const {
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double threshold = num_ * (p / 100.0);
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double sum = 0;
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for (int b = 0; b < kNumBuckets; b++) {
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sum += buckets_[b];
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if (sum >= threshold) {
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// Scale linearly within this bucket
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double left_point = (b == 0) ? 0 : kBucketLimit[b - 1];
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double right_point = kBucketLimit[b];
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double left_sum = sum - buckets_[b];
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double right_sum = sum;
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double pos = (threshold - left_sum) / (right_sum - left_sum);
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double r = left_point + (right_point - left_point) * pos;
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if (r < min_) r = min_;
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if (r > max_) r = max_;
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return r;
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}
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}
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return max_;
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}
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double Histogram::Average() const {
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if (num_ == 0.0) return 0;
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return sum_ / num_;
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}
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double Histogram::StandardDeviation() const {
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if (num_ == 0.0) return 0;
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double variance = (sum_squares_ * num_ - sum_ * sum_) / (num_ * num_);
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return sqrt(variance);
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}
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std::string Histogram::ToString() const {
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std::string r;
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char buf[200];
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snprintf(buf, sizeof(buf), "Count: %.0f Average: %.4f StdDev: %.2f\n", num_,
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Average(), StandardDeviation());
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r.append(buf);
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snprintf(buf, sizeof(buf), "Min: %.4f Median: %.4f Max: %.4f\n",
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(num_ == 0.0 ? 0.0 : min_), Median(), max_);
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r.append(buf);
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r.append("------------------------------------------------------\n");
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const double mult = 100.0 / num_;
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double sum = 0;
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for (int b = 0; b < kNumBuckets; b++) {
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if (buckets_[b] <= 0.0) continue;
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sum += buckets_[b];
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snprintf(buf, sizeof(buf), "[ %7.0f, %7.0f ) %7.0f %7.3f%% %7.3f%% ",
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((b == 0) ? 0.0 : kBucketLimit[b - 1]), // left
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kBucketLimit[b], // right
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buckets_[b], // count
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mult * buckets_[b], // percentage
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mult * sum); // cumulative percentage
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r.append(buf);
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// Add hash marks based on percentage; 20 marks for 100%.
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int marks = static_cast<int>(20 * (buckets_[b] / num_) + 0.5);
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r.append(marks, '#');
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r.push_back('\n');
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}
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return r;
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}
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} // namespace leveldb
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