mirror of
https://github.com/classilla/tenfourfox.git
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1353 lines
46 KiB
C++
1353 lines
46 KiB
C++
// Copyright (c) 2011 The Chromium 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.
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// Histogram is an object that aggregates statistics, and can summarize them in
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// various forms, including ASCII graphical, HTML, and numerically (as a
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// vector of numbers corresponding to each of the aggregating buckets).
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// See header file for details and examples.
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#include "base/histogram.h"
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#include <math.h>
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#include <algorithm>
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#include <string>
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#include "base/logging.h"
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#include "base/pickle.h"
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#include "base/string_util.h"
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#include "base/logging.h"
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namespace base {
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#define DVLOG(x) CHROMIUM_LOG(ERROR)
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#define CHECK_GT DCHECK_GT
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#define CHECK_LT DCHECK_LT
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typedef ::Lock Lock;
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typedef ::AutoLock AutoLock;
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// Static table of checksums for all possible 8 bit bytes.
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const uint32_t Histogram::kCrcTable[256] = {0x0, 0x77073096L, 0xee0e612cL,
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0x990951baL, 0x76dc419L, 0x706af48fL, 0xe963a535L, 0x9e6495a3L, 0xedb8832L,
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0x79dcb8a4L, 0xe0d5e91eL, 0x97d2d988L, 0x9b64c2bL, 0x7eb17cbdL, 0xe7b82d07L,
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0x90bf1d91L, 0x1db71064L, 0x6ab020f2L, 0xf3b97148L, 0x84be41deL, 0x1adad47dL,
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0x6ddde4ebL, 0xf4d4b551L, 0x83d385c7L, 0x136c9856L, 0x646ba8c0L, 0xfd62f97aL,
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0x8a65c9ecL, 0x14015c4fL, 0x63066cd9L, 0xfa0f3d63L, 0x8d080df5L, 0x3b6e20c8L,
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0x4c69105eL, 0xd56041e4L, 0xa2677172L, 0x3c03e4d1L, 0x4b04d447L, 0xd20d85fdL,
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0xa50ab56bL, 0x35b5a8faL, 0x42b2986cL, 0xdbbbc9d6L, 0xacbcf940L, 0x32d86ce3L,
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0x45df5c75L, 0xdcd60dcfL, 0xabd13d59L, 0x26d930acL, 0x51de003aL, 0xc8d75180L,
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0xbfd06116L, 0x21b4f4b5L, 0x56b3c423L, 0xcfba9599L, 0xb8bda50fL, 0x2802b89eL,
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0x5f058808L, 0xc60cd9b2L, 0xb10be924L, 0x2f6f7c87L, 0x58684c11L, 0xc1611dabL,
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0xb6662d3dL, 0x76dc4190L, 0x1db7106L, 0x98d220bcL, 0xefd5102aL, 0x71b18589L,
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0x6b6b51fL, 0x9fbfe4a5L, 0xe8b8d433L, 0x7807c9a2L, 0xf00f934L, 0x9609a88eL,
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0xe10e9818L, 0x7f6a0dbbL, 0x86d3d2dL, 0x91646c97L, 0xe6635c01L, 0x6b6b51f4L,
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0x1c6c6162L, 0x856530d8L, 0xf262004eL, 0x6c0695edL, 0x1b01a57bL, 0x8208f4c1L,
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0xf50fc457L, 0x65b0d9c6L, 0x12b7e950L, 0x8bbeb8eaL, 0xfcb9887cL, 0x62dd1ddfL,
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0x15da2d49L, 0x8cd37cf3L, 0xfbd44c65L, 0x4db26158L, 0x3ab551ceL, 0xa3bc0074L,
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0xd4bb30e2L, 0x4adfa541L, 0x3dd895d7L, 0xa4d1c46dL, 0xd3d6f4fbL, 0x4369e96aL,
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0x346ed9fcL, 0xad678846L, 0xda60b8d0L, 0x44042d73L, 0x33031de5L, 0xaa0a4c5fL,
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0xdd0d7cc9L, 0x5005713cL, 0x270241aaL, 0xbe0b1010L, 0xc90c2086L, 0x5768b525L,
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0x206f85b3L, 0xb966d409L, 0xce61e49fL, 0x5edef90eL, 0x29d9c998L, 0xb0d09822L,
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0xc7d7a8b4L, 0x59b33d17L, 0x2eb40d81L, 0xb7bd5c3bL, 0xc0ba6cadL, 0xedb88320L,
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0x9abfb3b6L, 0x3b6e20cL, 0x74b1d29aL, 0xead54739L, 0x9dd277afL, 0x4db2615L,
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0x73dc1683L, 0xe3630b12L, 0x94643b84L, 0xd6d6a3eL, 0x7a6a5aa8L, 0xe40ecf0bL,
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0x9309ff9dL, 0xa00ae27L, 0x7d079eb1L, 0xf00f9344L, 0x8708a3d2L, 0x1e01f268L,
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0x6906c2feL, 0xf762575dL, 0x806567cbL, 0x196c3671L, 0x6e6b06e7L, 0xfed41b76L,
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0x89d32be0L, 0x10da7a5aL, 0x67dd4accL, 0xf9b9df6fL, 0x8ebeeff9L, 0x17b7be43L,
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0x60b08ed5L, 0xd6d6a3e8L, 0xa1d1937eL, 0x38d8c2c4L, 0x4fdff252L, 0xd1bb67f1L,
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0xa6bc5767L, 0x3fb506ddL, 0x48b2364bL, 0xd80d2bdaL, 0xaf0a1b4cL, 0x36034af6L,
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0x41047a60L, 0xdf60efc3L, 0xa867df55L, 0x316e8eefL, 0x4669be79L, 0xcb61b38cL,
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0xbc66831aL, 0x256fd2a0L, 0x5268e236L, 0xcc0c7795L, 0xbb0b4703L, 0x220216b9L,
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0x5505262fL, 0xc5ba3bbeL, 0xb2bd0b28L, 0x2bb45a92L, 0x5cb36a04L, 0xc2d7ffa7L,
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0xb5d0cf31L, 0x2cd99e8bL, 0x5bdeae1dL, 0x9b64c2b0L, 0xec63f226L, 0x756aa39cL,
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0x26d930aL, 0x9c0906a9L, 0xeb0e363fL, 0x72076785L, 0x5005713L, 0x95bf4a82L,
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0xe2b87a14L, 0x7bb12baeL, 0xcb61b38L, 0x92d28e9bL, 0xe5d5be0dL, 0x7cdcefb7L,
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0xbdbdf21L, 0x86d3d2d4L, 0xf1d4e242L, 0x68ddb3f8L, 0x1fda836eL, 0x81be16cdL,
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0xf6b9265bL, 0x6fb077e1L, 0x18b74777L, 0x88085ae6L, 0xff0f6a70L, 0x66063bcaL,
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0x11010b5cL, 0x8f659effL, 0xf862ae69L, 0x616bffd3L, 0x166ccf45L, 0xa00ae278L,
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0xd70dd2eeL, 0x4e048354L, 0x3903b3c2L, 0xa7672661L, 0xd06016f7L, 0x4969474dL,
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0x3e6e77dbL, 0xaed16a4aL, 0xd9d65adcL, 0x40df0b66L, 0x37d83bf0L, 0xa9bcae53L,
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0xdebb9ec5L, 0x47b2cf7fL, 0x30b5ffe9L, 0xbdbdf21cL, 0xcabac28aL, 0x53b39330L,
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0x24b4a3a6L, 0xbad03605L, 0xcdd70693L, 0x54de5729L, 0x23d967bfL, 0xb3667a2eL,
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0xc4614ab8L, 0x5d681b02L, 0x2a6f2b94L, 0xb40bbe37L, 0xc30c8ea1L, 0x5a05df1bL,
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0x2d02ef8dL,
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};
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typedef Histogram::Count Count;
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// static
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const size_t Histogram::kBucketCount_MAX = 16384u;
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Histogram* Histogram::FactoryGet(const std::string& name,
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Sample minimum,
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Sample maximum,
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size_t bucket_count,
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Flags flags) {
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Histogram* histogram(NULL);
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// Defensive code.
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if (minimum < 1)
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minimum = 1;
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if (maximum > kSampleType_MAX - 1)
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maximum = kSampleType_MAX - 1;
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if (!StatisticsRecorder::FindHistogram(name, &histogram)) {
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// Extra variable is not needed... but this keeps this section basically
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// identical to other derived classes in this file (and compiler will
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// optimize away the extra variable.
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Histogram* tentative_histogram =
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new Histogram(name, minimum, maximum, bucket_count);
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tentative_histogram->InitializeBucketRange();
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tentative_histogram->SetFlags(flags);
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histogram =
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StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
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}
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DCHECK_EQ(HISTOGRAM, histogram->histogram_type());
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DCHECK(histogram->HasConstructorArguments(minimum, maximum, bucket_count));
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return histogram;
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}
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Histogram* Histogram::FactoryTimeGet(const std::string& name,
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TimeDelta minimum,
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TimeDelta maximum,
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size_t bucket_count,
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Flags flags) {
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return FactoryGet(name, minimum.InMilliseconds(), maximum.InMilliseconds(),
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bucket_count, flags);
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}
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void Histogram::Add(int value) {
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if (value > kSampleType_MAX - 1)
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value = kSampleType_MAX - 1;
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if (value < 0)
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value = 0;
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size_t index = BucketIndex(value);
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DCHECK_GE(value, ranges(index));
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DCHECK_LT(value, ranges(index + 1));
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Accumulate(value, 1, index);
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}
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void Histogram::Subtract(int value) {
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if (value > kSampleType_MAX - 1)
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value = kSampleType_MAX - 1;
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if (value < 0)
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value = 0;
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size_t index = BucketIndex(value);
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DCHECK_GE(value, ranges(index));
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DCHECK_LT(value, ranges(index + 1));
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Accumulate(value, -1, index);
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}
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void Histogram::AddBoolean(bool value) {
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DCHECK(false);
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}
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void Histogram::AddSampleSet(const SampleSet& sample) {
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sample_.Add(sample);
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}
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void Histogram::Clear() {
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SampleSet ss;
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ss.Resize(*this);
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sample_ = ss;
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}
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void Histogram::SetRangeDescriptions(const DescriptionPair descriptions[]) {
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DCHECK(false);
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}
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// The following methods provide a graphical histogram display.
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void Histogram::WriteHTMLGraph(std::string* output) const {
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// TBD(jar) Write a nice HTML bar chart, with divs an mouse-overs etc.
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output->append("<PRE>");
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WriteAscii(true, "<br>", output);
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output->append("</PRE>");
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}
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void Histogram::WriteAscii(bool graph_it, const std::string& newline,
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std::string* output) const {
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// Get local (stack) copies of all effectively volatile class data so that we
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// are consistent across our output activities.
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SampleSet snapshot;
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SnapshotSample(&snapshot);
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Count sample_count = snapshot.TotalCount();
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WriteAsciiHeader(snapshot, sample_count, output);
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output->append(newline);
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// Prepare to normalize graphical rendering of bucket contents.
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double max_size = 0;
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if (graph_it)
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max_size = GetPeakBucketSize(snapshot);
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// Calculate space needed to print bucket range numbers. Leave room to print
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// nearly the largest bucket range without sliding over the histogram.
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size_t largest_non_empty_bucket = bucket_count() - 1;
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while (0 == snapshot.counts(largest_non_empty_bucket)) {
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if (0 == largest_non_empty_bucket)
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break; // All buckets are empty.
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--largest_non_empty_bucket;
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}
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// Calculate largest print width needed for any of our bucket range displays.
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size_t print_width = 1;
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for (size_t i = 0; i < bucket_count(); ++i) {
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if (snapshot.counts(i)) {
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size_t width = GetAsciiBucketRange(i).size() + 1;
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if (width > print_width)
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print_width = width;
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}
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}
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int64_t remaining = sample_count;
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int64_t past = 0;
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// Output the actual histogram graph.
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for (size_t i = 0; i < bucket_count(); ++i) {
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Count current = snapshot.counts(i);
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if (!current && !PrintEmptyBucket(i))
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continue;
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remaining -= current;
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std::string range = GetAsciiBucketRange(i);
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output->append(range);
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for (size_t j = 0; range.size() + j < print_width + 1; ++j)
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output->push_back(' ');
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if (0 == current && i < bucket_count() - 1 && 0 == snapshot.counts(i + 1)) {
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while (i < bucket_count() - 1 && 0 == snapshot.counts(i + 1))
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++i;
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output->append("... ");
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output->append(newline);
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continue; // No reason to plot emptiness.
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}
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double current_size = GetBucketSize(current, i);
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if (graph_it)
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WriteAsciiBucketGraph(current_size, max_size, output);
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WriteAsciiBucketContext(past, current, remaining, i, output);
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output->append(newline);
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past += current;
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}
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DCHECK_EQ(sample_count, past);
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}
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// static
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std::string Histogram::SerializeHistogramInfo(const Histogram& histogram,
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const SampleSet& snapshot) {
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DCHECK_NE(NOT_VALID_IN_RENDERER, histogram.histogram_type());
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Pickle pickle;
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pickle.WriteString(histogram.histogram_name());
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pickle.WriteInt(histogram.declared_min());
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pickle.WriteInt(histogram.declared_max());
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pickle.WriteSize(histogram.bucket_count());
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pickle.WriteUInt32(histogram.range_checksum());
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pickle.WriteInt(histogram.histogram_type());
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pickle.WriteInt(histogram.flags());
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snapshot.Serialize(&pickle);
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return std::string(static_cast<const char*>(pickle.data()), pickle.size());
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}
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// static
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bool Histogram::DeserializeHistogramInfo(const std::string& histogram_info) {
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if (histogram_info.empty()) {
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return false;
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}
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Pickle pickle(histogram_info.data(),
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static_cast<int>(histogram_info.size()));
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std::string histogram_name;
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int declared_min;
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int declared_max;
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size_t bucket_count;
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uint32_t range_checksum;
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int histogram_type;
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int pickle_flags;
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SampleSet sample;
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void* iter = NULL;
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if (!pickle.ReadString(&iter, &histogram_name) ||
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!pickle.ReadInt(&iter, &declared_min) ||
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!pickle.ReadInt(&iter, &declared_max) ||
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!pickle.ReadSize(&iter, &bucket_count) ||
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!pickle.ReadUInt32(&iter, &range_checksum) ||
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!pickle.ReadInt(&iter, &histogram_type) ||
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!pickle.ReadInt(&iter, &pickle_flags) ||
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!sample.Histogram::SampleSet::Deserialize(&iter, pickle)) {
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CHROMIUM_LOG(ERROR) << "Pickle error decoding Histogram: " << histogram_name;
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return false;
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}
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DCHECK(pickle_flags & kIPCSerializationSourceFlag);
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// Since these fields may have come from an untrusted renderer, do additional
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// checks above and beyond those in Histogram::Initialize()
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if (declared_max <= 0 || declared_min <= 0 || declared_max < declared_min ||
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INT_MAX / sizeof(Count) <= bucket_count || bucket_count < 2) {
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CHROMIUM_LOG(ERROR) << "Values error decoding Histogram: " << histogram_name;
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return false;
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}
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Flags flags = static_cast<Flags>(pickle_flags & ~kIPCSerializationSourceFlag);
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DCHECK_NE(NOT_VALID_IN_RENDERER, histogram_type);
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Histogram* render_histogram(NULL);
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if (histogram_type == HISTOGRAM) {
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render_histogram = Histogram::FactoryGet(
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histogram_name, declared_min, declared_max, bucket_count, flags);
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} else if (histogram_type == LINEAR_HISTOGRAM) {
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render_histogram = LinearHistogram::FactoryGet(
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histogram_name, declared_min, declared_max, bucket_count, flags);
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} else if (histogram_type == BOOLEAN_HISTOGRAM) {
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render_histogram = BooleanHistogram::FactoryGet(histogram_name, flags);
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} else {
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CHROMIUM_LOG(ERROR) << "Error Deserializing Histogram Unknown histogram_type: "
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<< histogram_type;
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return false;
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}
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DCHECK_EQ(render_histogram->declared_min(), declared_min);
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DCHECK_EQ(render_histogram->declared_max(), declared_max);
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DCHECK_EQ(render_histogram->bucket_count(), bucket_count);
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DCHECK_EQ(render_histogram->range_checksum(), range_checksum);
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DCHECK_EQ(render_histogram->histogram_type(), histogram_type);
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if (render_histogram->flags() & kIPCSerializationSourceFlag) {
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DVLOG(1) << "Single process mode, histogram observed and not copied: "
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<< histogram_name;
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} else {
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DCHECK_EQ(flags & render_histogram->flags(), flags);
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render_histogram->AddSampleSet(sample);
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}
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return true;
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}
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//------------------------------------------------------------------------------
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// Methods for the validating a sample and a related histogram.
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//------------------------------------------------------------------------------
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Histogram::Inconsistencies Histogram::FindCorruption(
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const SampleSet& snapshot) const {
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int inconsistencies = NO_INCONSISTENCIES;
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Sample previous_range = -1; // Bottom range is always 0.
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int64_t count = 0;
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for (size_t index = 0; index < bucket_count(); ++index) {
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count += snapshot.counts(index);
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int new_range = ranges(index);
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if (previous_range >= new_range)
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inconsistencies |= BUCKET_ORDER_ERROR;
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previous_range = new_range;
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}
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if (!HasValidRangeChecksum())
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inconsistencies |= RANGE_CHECKSUM_ERROR;
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int64_t delta64 = snapshot.redundant_count() - count;
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if (delta64 != 0) {
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int delta = static_cast<int>(delta64);
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if (delta != delta64)
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delta = INT_MAX; // Flag all giant errors as INT_MAX.
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// Since snapshots of histograms are taken asynchronously relative to
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// sampling (and snapped from different threads), it is pretty likely that
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// we'll catch a redundant count that doesn't match the sample count. We
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// allow for a certain amount of slop before flagging this as an
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// inconsistency. Even with an inconsistency, we'll snapshot it again (for
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// UMA in about a half hour, so we'll eventually get the data, if it was
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// not the result of a corruption. If histograms show that 1 is "too tight"
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// then we may try to use 2 or 3 for this slop value.
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const int kCommonRaceBasedCountMismatch = 1;
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if (delta > 0) {
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UMA_HISTOGRAM_COUNTS("Histogram.InconsistentCountHigh", delta);
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if (delta > kCommonRaceBasedCountMismatch)
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inconsistencies |= COUNT_HIGH_ERROR;
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} else {
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DCHECK_GT(0, delta);
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UMA_HISTOGRAM_COUNTS("Histogram.InconsistentCountLow", -delta);
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if (-delta > kCommonRaceBasedCountMismatch)
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inconsistencies |= COUNT_LOW_ERROR;
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}
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}
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return static_cast<Inconsistencies>(inconsistencies);
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}
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Histogram::ClassType Histogram::histogram_type() const {
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return HISTOGRAM;
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}
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|
|
Histogram::Sample Histogram::ranges(size_t i) const {
|
|
return ranges_[i];
|
|
}
|
|
|
|
size_t Histogram::bucket_count() const {
|
|
return bucket_count_;
|
|
}
|
|
|
|
// Do a safe atomic snapshot of sample data.
|
|
// This implementation assumes we are on a safe single thread.
|
|
void Histogram::SnapshotSample(SampleSet* sample) const {
|
|
// Note locking not done in this version!!!
|
|
*sample = sample_;
|
|
}
|
|
|
|
bool Histogram::HasConstructorArguments(Sample minimum,
|
|
Sample maximum,
|
|
size_t bucket_count) {
|
|
return ((minimum == declared_min_) && (maximum == declared_max_) &&
|
|
(bucket_count == bucket_count_));
|
|
}
|
|
|
|
bool Histogram::HasConstructorTimeDeltaArguments(TimeDelta minimum,
|
|
TimeDelta maximum,
|
|
size_t bucket_count) {
|
|
return ((minimum.InMilliseconds() == declared_min_) &&
|
|
(maximum.InMilliseconds() == declared_max_) &&
|
|
(bucket_count == bucket_count_));
|
|
}
|
|
|
|
bool Histogram::HasValidRangeChecksum() const {
|
|
return CalculateRangeChecksum() == range_checksum_;
|
|
}
|
|
|
|
size_t Histogram::SizeOfIncludingThis(mozilla::MallocSizeOf aMallocSizeOf)
|
|
{
|
|
size_t n = 0;
|
|
n += aMallocSizeOf(this);
|
|
// We're not allowed to do deep dives into STL data structures. This
|
|
// is as close as we can get to measuring this array.
|
|
n += aMallocSizeOf(&ranges_[0]);
|
|
n += sample_.SizeOfExcludingThis(aMallocSizeOf);
|
|
return n;
|
|
}
|
|
|
|
size_t Histogram::SampleSet::SizeOfExcludingThis(mozilla::MallocSizeOf aMallocSizeOf)
|
|
{
|
|
// We're not allowed to do deep dives into STL data structures. This
|
|
// is as close as we can get to measuring this array.
|
|
return aMallocSizeOf(&counts_[0]);
|
|
}
|
|
|
|
Histogram::Histogram(const std::string& name, Sample minimum,
|
|
Sample maximum, size_t bucket_count)
|
|
: sample_(),
|
|
histogram_name_(name),
|
|
declared_min_(minimum),
|
|
declared_max_(maximum),
|
|
bucket_count_(bucket_count),
|
|
flags_(kNoFlags),
|
|
ranges_(bucket_count + 1, 0),
|
|
range_checksum_(0),
|
|
recording_enabled_(true) {
|
|
Initialize();
|
|
}
|
|
|
|
Histogram::Histogram(const std::string& name, TimeDelta minimum,
|
|
TimeDelta maximum, size_t bucket_count)
|
|
: sample_(),
|
|
histogram_name_(name),
|
|
declared_min_(static_cast<int> (minimum.InMilliseconds())),
|
|
declared_max_(static_cast<int> (maximum.InMilliseconds())),
|
|
bucket_count_(bucket_count),
|
|
flags_(kNoFlags),
|
|
ranges_(bucket_count + 1, 0),
|
|
range_checksum_(0),
|
|
recording_enabled_(true) {
|
|
Initialize();
|
|
}
|
|
|
|
Histogram::~Histogram() {
|
|
if (StatisticsRecorder::dump_on_exit()) {
|
|
std::string output;
|
|
WriteAscii(true, "\n", &output);
|
|
CHROMIUM_LOG(INFO) << output;
|
|
}
|
|
|
|
// Just to make sure most derived class did this properly...
|
|
DCHECK(ValidateBucketRanges());
|
|
}
|
|
|
|
// Calculate what range of values are held in each bucket.
|
|
// We have to be careful that we don't pick a ratio between starting points in
|
|
// consecutive buckets that is sooo small, that the integer bounds are the same
|
|
// (effectively making one bucket get no values). We need to avoid:
|
|
// ranges_[i] == ranges_[i + 1]
|
|
// To avoid that, we just do a fine-grained bucket width as far as we need to
|
|
// until we get a ratio that moves us along at least 2 units at a time. From
|
|
// that bucket onward we do use the exponential growth of buckets.
|
|
void Histogram::InitializeBucketRange() {
|
|
double log_max = log(static_cast<double>(declared_max()));
|
|
double log_ratio;
|
|
double log_next;
|
|
size_t bucket_index = 1;
|
|
Sample current = declared_min();
|
|
SetBucketRange(bucket_index, current);
|
|
while (bucket_count() > ++bucket_index) {
|
|
double log_current;
|
|
log_current = log(static_cast<double>(current));
|
|
// Calculate the count'th root of the range.
|
|
log_ratio = (log_max - log_current) / (bucket_count() - bucket_index);
|
|
// See where the next bucket would start.
|
|
log_next = log_current + log_ratio;
|
|
int next;
|
|
next = static_cast<int>(floor(exp(log_next) + 0.5));
|
|
if (next > current)
|
|
current = next;
|
|
else
|
|
++current; // Just do a narrow bucket, and keep trying.
|
|
SetBucketRange(bucket_index, current);
|
|
}
|
|
ResetRangeChecksum();
|
|
|
|
DCHECK_EQ(bucket_count(), bucket_index);
|
|
}
|
|
|
|
bool Histogram::PrintEmptyBucket(size_t index) const {
|
|
return true;
|
|
}
|
|
|
|
size_t Histogram::BucketIndex(Sample value) const {
|
|
// Use simple binary search. This is very general, but there are better
|
|
// approaches if we knew that the buckets were linearly distributed.
|
|
DCHECK_LE(ranges(0), value);
|
|
DCHECK_GT(ranges(bucket_count()), value);
|
|
size_t under = 0;
|
|
size_t over = bucket_count();
|
|
size_t mid;
|
|
|
|
do {
|
|
DCHECK_GE(over, under);
|
|
mid = under + (over - under)/2;
|
|
if (mid == under)
|
|
break;
|
|
if (ranges(mid) <= value)
|
|
under = mid;
|
|
else
|
|
over = mid;
|
|
} while (true);
|
|
|
|
DCHECK_LE(ranges(mid), value);
|
|
CHECK_GT(ranges(mid+1), value);
|
|
return mid;
|
|
}
|
|
|
|
// Use the actual bucket widths (like a linear histogram) until the widths get
|
|
// over some transition value, and then use that transition width. Exponentials
|
|
// get so big so fast (and we don't expect to see a lot of entries in the large
|
|
// buckets), so we need this to make it possible to see what is going on and
|
|
// not have 0-graphical-height buckets.
|
|
double Histogram::GetBucketSize(Count current, size_t i) const {
|
|
DCHECK_GT(ranges(i + 1), ranges(i));
|
|
static const double kTransitionWidth = 5;
|
|
double denominator = ranges(i + 1) - ranges(i);
|
|
if (denominator > kTransitionWidth)
|
|
denominator = kTransitionWidth; // Stop trying to normalize.
|
|
return current/denominator;
|
|
}
|
|
|
|
void Histogram::ResetRangeChecksum() {
|
|
range_checksum_ = CalculateRangeChecksum();
|
|
}
|
|
|
|
const std::string Histogram::GetAsciiBucketRange(size_t i) const {
|
|
std::string result;
|
|
if (kHexRangePrintingFlag & flags_)
|
|
StringAppendF(&result, "%#x", ranges(i));
|
|
else
|
|
StringAppendF(&result, "%d", ranges(i));
|
|
return result;
|
|
}
|
|
|
|
// Update histogram data with new sample.
|
|
void Histogram::Accumulate(Sample value, Count count, size_t index) {
|
|
// Note locking not done in this version!!!
|
|
sample_.AccumulateWithExponentialStats(value, count, index,
|
|
flags_ & kExtendedStatisticsFlag);
|
|
}
|
|
|
|
void Histogram::SetBucketRange(size_t i, Sample value) {
|
|
DCHECK_GT(bucket_count_, i);
|
|
ranges_[i] = value;
|
|
}
|
|
|
|
bool Histogram::ValidateBucketRanges() const {
|
|
// Standard assertions that all bucket ranges should satisfy.
|
|
DCHECK_EQ(bucket_count_ + 1, ranges_.size());
|
|
DCHECK_EQ(0, ranges_[0]);
|
|
DCHECK_EQ(declared_min(), ranges_[1]);
|
|
DCHECK_EQ(declared_max(), ranges_[bucket_count_ - 1]);
|
|
DCHECK_EQ(kSampleType_MAX, ranges_[bucket_count_]);
|
|
return true;
|
|
}
|
|
|
|
uint32_t Histogram::CalculateRangeChecksum() const {
|
|
DCHECK_EQ(ranges_.size(), bucket_count() + 1);
|
|
uint32_t checksum = static_cast<uint32_t>(ranges_.size()); // Seed checksum.
|
|
for (size_t index = 0; index < bucket_count(); ++index)
|
|
checksum = Crc32(checksum, ranges(index));
|
|
return checksum;
|
|
}
|
|
|
|
void Histogram::Initialize() {
|
|
sample_.Resize(*this);
|
|
if (declared_min_ < 1)
|
|
declared_min_ = 1;
|
|
if (declared_max_ > kSampleType_MAX - 1)
|
|
declared_max_ = kSampleType_MAX - 1;
|
|
DCHECK_LE(declared_min_, declared_max_);
|
|
DCHECK_GT(bucket_count_, 1u);
|
|
CHECK_LT(bucket_count_, kBucketCount_MAX);
|
|
size_t maximal_bucket_count = declared_max_ - declared_min_ + 2;
|
|
DCHECK_LE(bucket_count_, maximal_bucket_count);
|
|
DCHECK_EQ(0, ranges_[0]);
|
|
ranges_[bucket_count_] = kSampleType_MAX;
|
|
}
|
|
|
|
// We generate the CRC-32 using the low order bits to select whether to XOR in
|
|
// the reversed polynomial 0xedb88320L. This is nice and simple, and allows us
|
|
// to keep the quotient in a uint32_t. Since we're not concerned about the nature
|
|
// of corruptions (i.e., we don't care about bit sequencing, since we are
|
|
// handling memory changes, which are more grotesque) so we don't bother to
|
|
// get the CRC correct for big-endian vs little-ending calculations. All we
|
|
// need is a nice hash, that tends to depend on all the bits of the sample, with
|
|
// very little chance of changes in one place impacting changes in another
|
|
// place.
|
|
uint32_t Histogram::Crc32(uint32_t sum, Histogram::Sample range) {
|
|
const bool kUseRealCrc = true; // TODO(jar): Switch to false and watch stats.
|
|
if (kUseRealCrc) {
|
|
union {
|
|
Histogram::Sample range;
|
|
unsigned char bytes[sizeof(Histogram::Sample)];
|
|
} converter;
|
|
converter.range = range;
|
|
for (size_t i = 0; i < sizeof(converter); ++i)
|
|
sum = kCrcTable[(sum & 0xff) ^ converter.bytes[i]] ^ (sum >> 8);
|
|
} else {
|
|
// Use hash techniques provided in ReallyFastHash, except we don't care
|
|
// about "avalanching" (which would worsten the hash, and add collisions),
|
|
// and we don't care about edge cases since we have an even number of bytes.
|
|
union {
|
|
Histogram::Sample range;
|
|
uint16_t ints[sizeof(Histogram::Sample) / 2];
|
|
} converter;
|
|
DCHECK_EQ(sizeof(Histogram::Sample), sizeof(converter));
|
|
converter.range = range;
|
|
sum += converter.ints[0];
|
|
sum = (sum << 16) ^ sum ^ (static_cast<uint32_t>(converter.ints[1]) << 11);
|
|
sum += sum >> 11;
|
|
}
|
|
return sum;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Private methods
|
|
|
|
double Histogram::GetPeakBucketSize(const SampleSet& snapshot) const {
|
|
double max = 0;
|
|
for (size_t i = 0; i < bucket_count() ; ++i) {
|
|
double current_size = GetBucketSize(snapshot.counts(i), i);
|
|
if (current_size > max)
|
|
max = current_size;
|
|
}
|
|
return max;
|
|
}
|
|
|
|
void Histogram::WriteAsciiHeader(const SampleSet& snapshot,
|
|
Count sample_count,
|
|
std::string* output) const {
|
|
StringAppendF(output,
|
|
"Histogram: %s recorded %d samples",
|
|
histogram_name().c_str(),
|
|
sample_count);
|
|
if (0 == sample_count) {
|
|
DCHECK_EQ(snapshot.sum(), 0);
|
|
} else {
|
|
double average = static_cast<float>(snapshot.sum()) / sample_count;
|
|
|
|
StringAppendF(output, ", average = %.1f", average);
|
|
}
|
|
if (flags_ & ~kHexRangePrintingFlag)
|
|
StringAppendF(output, " (flags = 0x%x)", flags_ & ~kHexRangePrintingFlag);
|
|
}
|
|
|
|
void Histogram::WriteAsciiBucketContext(const int64_t past,
|
|
const Count current,
|
|
const int64_t remaining,
|
|
const size_t i,
|
|
std::string* output) const {
|
|
double scaled_sum = (past + current + remaining) / 100.0;
|
|
WriteAsciiBucketValue(current, scaled_sum, output);
|
|
if (0 < i) {
|
|
double percentage = past / scaled_sum;
|
|
StringAppendF(output, " {%3.1f%%}", percentage);
|
|
}
|
|
}
|
|
|
|
void Histogram::WriteAsciiBucketValue(Count current, double scaled_sum,
|
|
std::string* output) const {
|
|
StringAppendF(output, " (%d = %3.1f%%)", current, current/scaled_sum);
|
|
}
|
|
|
|
void Histogram::WriteAsciiBucketGraph(double current_size, double max_size,
|
|
std::string* output) const {
|
|
const int k_line_length = 72; // Maximal horizontal width of graph.
|
|
int x_count = static_cast<int>(k_line_length * (current_size / max_size)
|
|
+ 0.5);
|
|
int x_remainder = k_line_length - x_count;
|
|
|
|
while (0 < x_count--)
|
|
output->append("-");
|
|
output->append("O");
|
|
while (0 < x_remainder--)
|
|
output->append(" ");
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Methods for the Histogram::SampleSet class
|
|
//------------------------------------------------------------------------------
|
|
|
|
Histogram::SampleSet::SampleSet()
|
|
: counts_(),
|
|
sum_(0),
|
|
sum_squares_(0),
|
|
log_sum_(0),
|
|
log_sum_squares_(0),
|
|
redundant_count_(0) {
|
|
}
|
|
|
|
Histogram::SampleSet::~SampleSet() {
|
|
}
|
|
|
|
void Histogram::SampleSet::Resize(const Histogram& histogram) {
|
|
counts_.resize(histogram.bucket_count(), 0);
|
|
}
|
|
|
|
void Histogram::SampleSet::CheckSize(const Histogram& histogram) const {
|
|
DCHECK_EQ(histogram.bucket_count(), counts_.size());
|
|
}
|
|
|
|
void Histogram::SampleSet::Accumulate(Sample value, Count count,
|
|
size_t index) {
|
|
DCHECK(count == 1 || count == -1);
|
|
counts_[index] += count;
|
|
redundant_count_ += count;
|
|
sum_ += static_cast<int64_t>(count) * value;
|
|
DCHECK_GE(counts_[index], 0);
|
|
DCHECK_GE(sum_, 0);
|
|
DCHECK_GE(redundant_count_, 0);
|
|
}
|
|
|
|
void Histogram::SampleSet::AccumulateWithLinearStats(Sample value,
|
|
Count count,
|
|
size_t index) {
|
|
Accumulate(value, count, index);
|
|
sum_squares_ += static_cast<int64_t>(count) * value * value;
|
|
}
|
|
|
|
void Histogram::SampleSet::AccumulateWithExponentialStats(Sample value,
|
|
Count count,
|
|
size_t index,
|
|
bool computeExtendedStatistics) {
|
|
Accumulate(value, count, index);
|
|
if (computeExtendedStatistics) {
|
|
DCHECK_GE(value, 0);
|
|
float value_log = logf(static_cast<float>(value) + 1.0f);
|
|
log_sum_ += count * value_log;
|
|
log_sum_squares_ += count * value_log * value_log;
|
|
}
|
|
}
|
|
|
|
Count Histogram::SampleSet::TotalCount() const {
|
|
Count total = 0;
|
|
for (Counts::const_iterator it = counts_.begin();
|
|
it != counts_.end();
|
|
++it) {
|
|
total += *it;
|
|
}
|
|
return total;
|
|
}
|
|
|
|
void Histogram::SampleSet::Add(const SampleSet& other) {
|
|
DCHECK_EQ(counts_.size(), other.counts_.size());
|
|
sum_ += other.sum_;
|
|
sum_squares_ += other.sum_squares_;
|
|
log_sum_ += other.log_sum_;
|
|
log_sum_squares_ += other.log_sum_squares_;
|
|
redundant_count_ += other.redundant_count_;
|
|
for (size_t index = 0; index < counts_.size(); ++index)
|
|
counts_[index] += other.counts_[index];
|
|
}
|
|
|
|
void Histogram::SampleSet::Subtract(const SampleSet& other) {
|
|
DCHECK_EQ(counts_.size(), other.counts_.size());
|
|
// Note: Race conditions in snapshotting a sum may lead to (temporary)
|
|
// negative values when snapshots are later combined (and deltas calculated).
|
|
// As a result, we don't currently CHCEK() for positive values.
|
|
sum_ -= other.sum_;
|
|
sum_squares_ -= other.sum_squares_;
|
|
log_sum_ -= other.log_sum_;
|
|
log_sum_squares_ -= other.log_sum_squares_;
|
|
redundant_count_ -= other.redundant_count_;
|
|
for (size_t index = 0; index < counts_.size(); ++index) {
|
|
counts_[index] -= other.counts_[index];
|
|
DCHECK_GE(counts_[index], 0);
|
|
}
|
|
}
|
|
|
|
bool Histogram::SampleSet::Serialize(Pickle* pickle) const {
|
|
pickle->WriteInt64(sum_);
|
|
pickle->WriteInt64(redundant_count_);
|
|
pickle->WriteSize(counts_.size());
|
|
|
|
for (size_t index = 0; index < counts_.size(); ++index) {
|
|
pickle->WriteInt(counts_[index]);
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool Histogram::SampleSet::Deserialize(void** iter, const Pickle& pickle) {
|
|
DCHECK_EQ(counts_.size(), 0u);
|
|
DCHECK_EQ(sum_, 0);
|
|
DCHECK_EQ(redundant_count_, 0);
|
|
|
|
size_t counts_size;
|
|
|
|
if (!pickle.ReadInt64(iter, &sum_) ||
|
|
!pickle.ReadInt64(iter, &redundant_count_) ||
|
|
!pickle.ReadSize(iter, &counts_size)) {
|
|
return false;
|
|
}
|
|
|
|
if (counts_size == 0)
|
|
return false;
|
|
|
|
int count = 0;
|
|
for (size_t index = 0; index < counts_size; ++index) {
|
|
int i;
|
|
if (!pickle.ReadInt(iter, &i))
|
|
return false;
|
|
counts_.push_back(i);
|
|
count += i;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// LinearHistogram: This histogram uses a traditional set of evenly spaced
|
|
// buckets.
|
|
//------------------------------------------------------------------------------
|
|
|
|
LinearHistogram::~LinearHistogram() {
|
|
}
|
|
|
|
Histogram* LinearHistogram::FactoryGet(const std::string& name,
|
|
Sample minimum,
|
|
Sample maximum,
|
|
size_t bucket_count,
|
|
Flags flags) {
|
|
Histogram* histogram(NULL);
|
|
|
|
if (minimum < 1)
|
|
minimum = 1;
|
|
if (maximum > kSampleType_MAX - 1)
|
|
maximum = kSampleType_MAX - 1;
|
|
|
|
if (!StatisticsRecorder::FindHistogram(name, &histogram)) {
|
|
LinearHistogram* tentative_histogram =
|
|
new LinearHistogram(name, minimum, maximum, bucket_count);
|
|
tentative_histogram->InitializeBucketRange();
|
|
tentative_histogram->SetFlags(flags);
|
|
histogram =
|
|
StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
|
|
}
|
|
|
|
DCHECK_EQ(LINEAR_HISTOGRAM, histogram->histogram_type());
|
|
DCHECK(histogram->HasConstructorArguments(minimum, maximum, bucket_count));
|
|
return histogram;
|
|
}
|
|
|
|
Histogram* LinearHistogram::FactoryTimeGet(const std::string& name,
|
|
TimeDelta minimum,
|
|
TimeDelta maximum,
|
|
size_t bucket_count,
|
|
Flags flags) {
|
|
return FactoryGet(name, minimum.InMilliseconds(), maximum.InMilliseconds(),
|
|
bucket_count, flags);
|
|
}
|
|
|
|
Histogram::ClassType LinearHistogram::histogram_type() const {
|
|
return LINEAR_HISTOGRAM;
|
|
}
|
|
|
|
void LinearHistogram::Accumulate(Sample value, Count count, size_t index) {
|
|
sample_.AccumulateWithLinearStats(value, count, index);
|
|
}
|
|
|
|
void LinearHistogram::SetRangeDescriptions(
|
|
const DescriptionPair descriptions[]) {
|
|
for (int i =0; descriptions[i].description; ++i) {
|
|
bucket_description_[descriptions[i].sample] = descriptions[i].description;
|
|
}
|
|
}
|
|
|
|
LinearHistogram::LinearHistogram(const std::string& name,
|
|
Sample minimum,
|
|
Sample maximum,
|
|
size_t bucket_count)
|
|
: Histogram(name, minimum >= 1 ? minimum : 1, maximum, bucket_count) {
|
|
}
|
|
|
|
LinearHistogram::LinearHistogram(const std::string& name,
|
|
TimeDelta minimum,
|
|
TimeDelta maximum,
|
|
size_t bucket_count)
|
|
: Histogram(name, minimum >= TimeDelta::FromMilliseconds(1) ?
|
|
minimum : TimeDelta::FromMilliseconds(1),
|
|
maximum, bucket_count) {
|
|
}
|
|
|
|
void LinearHistogram::InitializeBucketRange() {
|
|
DCHECK_GT(declared_min(), 0); // 0 is the underflow bucket here.
|
|
double min = declared_min();
|
|
double max = declared_max();
|
|
size_t i;
|
|
for (i = 1; i < bucket_count(); ++i) {
|
|
double linear_range = (min * (bucket_count() -1 - i) + max * (i - 1)) /
|
|
(bucket_count() - 2);
|
|
SetBucketRange(i, static_cast<int> (linear_range + 0.5));
|
|
}
|
|
ResetRangeChecksum();
|
|
}
|
|
|
|
double LinearHistogram::GetBucketSize(Count current, size_t i) const {
|
|
DCHECK_GT(ranges(i + 1), ranges(i));
|
|
// Adjacent buckets with different widths would have "surprisingly" many (few)
|
|
// samples in a histogram if we didn't normalize this way.
|
|
double denominator = ranges(i + 1) - ranges(i);
|
|
return current/denominator;
|
|
}
|
|
|
|
const std::string LinearHistogram::GetAsciiBucketRange(size_t i) const {
|
|
int range = ranges(i);
|
|
BucketDescriptionMap::const_iterator it = bucket_description_.find(range);
|
|
if (it == bucket_description_.end())
|
|
return Histogram::GetAsciiBucketRange(i);
|
|
return it->second;
|
|
}
|
|
|
|
bool LinearHistogram::PrintEmptyBucket(size_t index) const {
|
|
return bucket_description_.find(ranges(index)) == bucket_description_.end();
|
|
}
|
|
|
|
|
|
//------------------------------------------------------------------------------
|
|
// This section provides implementation for BooleanHistogram.
|
|
//------------------------------------------------------------------------------
|
|
|
|
Histogram* BooleanHistogram::FactoryGet(const std::string& name, Flags flags) {
|
|
Histogram* histogram(NULL);
|
|
|
|
if (!StatisticsRecorder::FindHistogram(name, &histogram)) {
|
|
BooleanHistogram* tentative_histogram = new BooleanHistogram(name);
|
|
tentative_histogram->InitializeBucketRange();
|
|
tentative_histogram->SetFlags(flags);
|
|
histogram =
|
|
StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
|
|
}
|
|
|
|
DCHECK_EQ(BOOLEAN_HISTOGRAM, histogram->histogram_type());
|
|
return histogram;
|
|
}
|
|
|
|
Histogram::ClassType BooleanHistogram::histogram_type() const {
|
|
return BOOLEAN_HISTOGRAM;
|
|
}
|
|
|
|
void BooleanHistogram::AddBoolean(bool value) {
|
|
Add(value ? 1 : 0);
|
|
}
|
|
|
|
BooleanHistogram::BooleanHistogram(const std::string& name)
|
|
: LinearHistogram(name, 1, 2, 3) {
|
|
}
|
|
|
|
void
|
|
BooleanHistogram::Accumulate(Sample value, Count count, size_t index)
|
|
{
|
|
// Callers will have computed index based on the non-booleanified value.
|
|
// So we need to adjust the index manually.
|
|
LinearHistogram::Accumulate(!!value, count, value ? 1 : 0);
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// FlagHistogram:
|
|
//------------------------------------------------------------------------------
|
|
|
|
Histogram *
|
|
FlagHistogram::FactoryGet(const std::string &name, Flags flags)
|
|
{
|
|
Histogram *h(nullptr);
|
|
|
|
if (!StatisticsRecorder::FindHistogram(name, &h)) {
|
|
FlagHistogram *fh = new FlagHistogram(name);
|
|
fh->InitializeBucketRange();
|
|
fh->SetFlags(flags);
|
|
size_t zero_index = fh->BucketIndex(0);
|
|
fh->LinearHistogram::Accumulate(0, 1, zero_index);
|
|
h = StatisticsRecorder::RegisterOrDeleteDuplicate(fh);
|
|
}
|
|
|
|
return h;
|
|
}
|
|
|
|
FlagHistogram::FlagHistogram(const std::string &name)
|
|
: BooleanHistogram(name), mSwitched(false) {
|
|
}
|
|
|
|
Histogram::ClassType
|
|
FlagHistogram::histogram_type() const
|
|
{
|
|
return FLAG_HISTOGRAM;
|
|
}
|
|
|
|
void
|
|
FlagHistogram::Accumulate(Sample value, Count count, size_t index)
|
|
{
|
|
if (mSwitched) {
|
|
return;
|
|
}
|
|
|
|
mSwitched = true;
|
|
DCHECK_EQ(value, 1);
|
|
LinearHistogram::Accumulate(value, 1, index);
|
|
size_t zero_index = BucketIndex(0);
|
|
LinearHistogram::Accumulate(0, -1, zero_index);
|
|
}
|
|
|
|
void
|
|
FlagHistogram::AddSampleSet(const SampleSet& sample) {
|
|
DCHECK_EQ(bucket_count(), sample.size());
|
|
// We can't be sure the SampleSet provided came from another FlagHistogram,
|
|
// so we take the following steps:
|
|
// - If our flag has already been set do nothing.
|
|
// - Set our flag if the following hold:
|
|
// - The sum of the counts in the provided SampleSet is 1.
|
|
// - The bucket index for that single value is the same as the index where we
|
|
// would place our set flag.
|
|
// - Otherwise, take no action.
|
|
|
|
if (mSwitched) {
|
|
return;
|
|
}
|
|
|
|
if (sample.sum() != 1) {
|
|
return;
|
|
}
|
|
|
|
size_t one_index = BucketIndex(1);
|
|
if (sample.counts(one_index) == 1) {
|
|
Accumulate(1, 1, one_index);
|
|
}
|
|
}
|
|
|
|
void
|
|
FlagHistogram::Clear() {
|
|
Histogram::Clear();
|
|
|
|
mSwitched = false;
|
|
size_t zero_index = BucketIndex(0);
|
|
LinearHistogram::Accumulate(0, 1, zero_index);
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// CountHistogram:
|
|
//------------------------------------------------------------------------------
|
|
|
|
Histogram *
|
|
CountHistogram::FactoryGet(const std::string &name, Flags flags)
|
|
{
|
|
Histogram *h(nullptr);
|
|
|
|
if (!StatisticsRecorder::FindHistogram(name, &h)) {
|
|
CountHistogram *fh = new CountHistogram(name);
|
|
fh->InitializeBucketRange();
|
|
fh->SetFlags(flags);
|
|
h = StatisticsRecorder::RegisterOrDeleteDuplicate(fh);
|
|
}
|
|
|
|
return h;
|
|
}
|
|
|
|
CountHistogram::CountHistogram(const std::string &name)
|
|
: LinearHistogram(name, 1, 2, 3) {
|
|
}
|
|
|
|
Histogram::ClassType
|
|
CountHistogram::histogram_type() const
|
|
{
|
|
return COUNT_HISTOGRAM;
|
|
}
|
|
|
|
void
|
|
CountHistogram::Accumulate(Sample value, Count count, size_t index)
|
|
{
|
|
size_t zero_index = BucketIndex(0);
|
|
LinearHistogram::Accumulate(1, 1, zero_index);
|
|
}
|
|
|
|
void
|
|
CountHistogram::AddSampleSet(const SampleSet& sample) {
|
|
DCHECK_EQ(bucket_count(), sample.size());
|
|
// We can't be sure the SampleSet provided came from another CountHistogram,
|
|
// so we at least check that the unused buckets are empty.
|
|
|
|
const size_t indices[] = { BucketIndex(0), BucketIndex(1), BucketIndex(2) };
|
|
|
|
if (sample.counts(indices[1]) != 0 || sample.counts(indices[2]) != 0) {
|
|
return;
|
|
}
|
|
|
|
if (sample.counts(indices[0]) != 0) {
|
|
Accumulate(1, sample.counts(indices[0]), indices[0]);
|
|
}
|
|
}
|
|
|
|
|
|
//------------------------------------------------------------------------------
|
|
// CustomHistogram:
|
|
//------------------------------------------------------------------------------
|
|
|
|
Histogram* CustomHistogram::FactoryGet(const std::string& name,
|
|
const std::vector<Sample>& custom_ranges,
|
|
Flags flags) {
|
|
Histogram* histogram(NULL);
|
|
|
|
// Remove the duplicates in the custom ranges array.
|
|
std::vector<int> ranges = custom_ranges;
|
|
ranges.push_back(0); // Ensure we have a zero value.
|
|
std::sort(ranges.begin(), ranges.end());
|
|
ranges.erase(std::unique(ranges.begin(), ranges.end()), ranges.end());
|
|
if (ranges.size() <= 1) {
|
|
DCHECK(false);
|
|
// Note that we pushed a 0 in above, so for defensive code....
|
|
ranges.push_back(1); // Put in some data so we can index to [1].
|
|
}
|
|
|
|
DCHECK_LT(ranges.back(), kSampleType_MAX);
|
|
|
|
if (!StatisticsRecorder::FindHistogram(name, &histogram)) {
|
|
CustomHistogram* tentative_histogram = new CustomHistogram(name, ranges);
|
|
tentative_histogram->InitializedCustomBucketRange(ranges);
|
|
tentative_histogram->SetFlags(flags);
|
|
histogram =
|
|
StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
|
|
}
|
|
|
|
DCHECK_EQ(histogram->histogram_type(), CUSTOM_HISTOGRAM);
|
|
DCHECK(histogram->HasConstructorArguments(ranges[1], ranges.back(),
|
|
ranges.size()));
|
|
return histogram;
|
|
}
|
|
|
|
Histogram::ClassType CustomHistogram::histogram_type() const {
|
|
return CUSTOM_HISTOGRAM;
|
|
}
|
|
|
|
CustomHistogram::CustomHistogram(const std::string& name,
|
|
const std::vector<Sample>& custom_ranges)
|
|
: Histogram(name, custom_ranges[1], custom_ranges.back(),
|
|
custom_ranges.size()) {
|
|
DCHECK_GT(custom_ranges.size(), 1u);
|
|
DCHECK_EQ(custom_ranges[0], 0);
|
|
}
|
|
|
|
void CustomHistogram::InitializedCustomBucketRange(
|
|
const std::vector<Sample>& custom_ranges) {
|
|
DCHECK_GT(custom_ranges.size(), 1u);
|
|
DCHECK_EQ(custom_ranges[0], 0);
|
|
DCHECK_LE(custom_ranges.size(), bucket_count());
|
|
for (size_t index = 0; index < custom_ranges.size(); ++index)
|
|
SetBucketRange(index, custom_ranges[index]);
|
|
ResetRangeChecksum();
|
|
}
|
|
|
|
double CustomHistogram::GetBucketSize(Count current, size_t i) const {
|
|
return 1;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// The next section handles global (central) support for all histograms, as well
|
|
// as startup/teardown of this service.
|
|
//------------------------------------------------------------------------------
|
|
|
|
// This singleton instance should be started during the single threaded portion
|
|
// of main(), and hence it is not thread safe. It initializes globals to
|
|
// provide support for all future calls.
|
|
StatisticsRecorder::StatisticsRecorder() {
|
|
DCHECK(!histograms_);
|
|
if (lock_ == NULL) {
|
|
// This will leak on purpose. It's the only way to make sure we won't race
|
|
// against the static uninitialization of the module while one of our
|
|
// static methods relying on the lock get called at an inappropriate time
|
|
// during the termination phase. Since it's a static data member, we will
|
|
// leak one per process, which would be similar to the instance allocated
|
|
// during static initialization and released only on process termination.
|
|
lock_ = new base::Lock;
|
|
}
|
|
base::AutoLock auto_lock(*lock_);
|
|
histograms_ = new HistogramMap;
|
|
}
|
|
|
|
StatisticsRecorder::~StatisticsRecorder() {
|
|
DCHECK(histograms_ && lock_);
|
|
|
|
if (dump_on_exit_) {
|
|
std::string output;
|
|
WriteGraph("", &output);
|
|
CHROMIUM_LOG(INFO) << output;
|
|
}
|
|
// Clean up.
|
|
HistogramMap* histograms = NULL;
|
|
{
|
|
base::AutoLock auto_lock(*lock_);
|
|
histograms = histograms_;
|
|
histograms_ = NULL;
|
|
for (HistogramMap::iterator it = histograms->begin();
|
|
histograms->end() != it;
|
|
++it) {
|
|
// No other clients permanently hold Histogram references, so we
|
|
// have the only one and it is safe to delete it.
|
|
delete it->second;
|
|
}
|
|
}
|
|
delete histograms;
|
|
// We don't delete lock_ on purpose to avoid having to properly protect
|
|
// against it going away after we checked for NULL in the static methods.
|
|
}
|
|
|
|
// static
|
|
bool StatisticsRecorder::IsActive() {
|
|
if (lock_ == NULL)
|
|
return false;
|
|
base::AutoLock auto_lock(*lock_);
|
|
return NULL != histograms_;
|
|
}
|
|
|
|
Histogram* StatisticsRecorder::RegisterOrDeleteDuplicate(Histogram* histogram) {
|
|
DCHECK(histogram->HasValidRangeChecksum());
|
|
if (lock_ == NULL)
|
|
return histogram;
|
|
base::AutoLock auto_lock(*lock_);
|
|
if (!histograms_)
|
|
return histogram;
|
|
const std::string name = histogram->histogram_name();
|
|
HistogramMap::iterator it = histograms_->find(name);
|
|
// Avoid overwriting a previous registration.
|
|
if (histograms_->end() == it) {
|
|
(*histograms_)[name] = histogram;
|
|
} else {
|
|
delete histogram; // We already have one by this name.
|
|
histogram = it->second;
|
|
}
|
|
return histogram;
|
|
}
|
|
|
|
// static
|
|
void StatisticsRecorder::WriteHTMLGraph(const std::string& query,
|
|
std::string* output) {
|
|
if (!IsActive())
|
|
return;
|
|
output->append("<html><head><title>About Histograms");
|
|
if (!query.empty())
|
|
output->append(" - " + query);
|
|
output->append("</title>"
|
|
// We'd like the following no-cache... but it doesn't work.
|
|
// "<META HTTP-EQUIV=\"Pragma\" CONTENT=\"no-cache\">"
|
|
"</head><body>");
|
|
|
|
Histograms snapshot;
|
|
GetSnapshot(query, &snapshot);
|
|
for (Histograms::iterator it = snapshot.begin();
|
|
it != snapshot.end();
|
|
++it) {
|
|
(*it)->WriteHTMLGraph(output);
|
|
output->append("<br><hr><br>");
|
|
}
|
|
output->append("</body></html>");
|
|
}
|
|
|
|
// static
|
|
void StatisticsRecorder::WriteGraph(const std::string& query,
|
|
std::string* output) {
|
|
if (!IsActive())
|
|
return;
|
|
if (query.length())
|
|
StringAppendF(output, "Collections of histograms for %s\n", query.c_str());
|
|
else
|
|
output->append("Collections of all histograms\n");
|
|
|
|
Histograms snapshot;
|
|
GetSnapshot(query, &snapshot);
|
|
for (Histograms::iterator it = snapshot.begin();
|
|
it != snapshot.end();
|
|
++it) {
|
|
(*it)->WriteAscii(true, "\n", output);
|
|
output->append("\n");
|
|
}
|
|
}
|
|
|
|
// static
|
|
void StatisticsRecorder::GetHistograms(Histograms* output) {
|
|
if (lock_ == NULL)
|
|
return;
|
|
base::AutoLock auto_lock(*lock_);
|
|
if (!histograms_)
|
|
return;
|
|
for (HistogramMap::iterator it = histograms_->begin();
|
|
histograms_->end() != it;
|
|
++it) {
|
|
DCHECK_EQ(it->first, it->second->histogram_name());
|
|
output->push_back(it->second);
|
|
}
|
|
}
|
|
|
|
bool StatisticsRecorder::FindHistogram(const std::string& name,
|
|
Histogram** histogram) {
|
|
if (lock_ == NULL)
|
|
return false;
|
|
base::AutoLock auto_lock(*lock_);
|
|
if (!histograms_)
|
|
return false;
|
|
HistogramMap::iterator it = histograms_->find(name);
|
|
if (histograms_->end() == it)
|
|
return false;
|
|
*histogram = it->second;
|
|
return true;
|
|
}
|
|
|
|
// private static
|
|
void StatisticsRecorder::GetSnapshot(const std::string& query,
|
|
Histograms* snapshot) {
|
|
if (lock_ == NULL)
|
|
return;
|
|
base::AutoLock auto_lock(*lock_);
|
|
if (!histograms_)
|
|
return;
|
|
for (HistogramMap::iterator it = histograms_->begin();
|
|
histograms_->end() != it;
|
|
++it) {
|
|
if (it->first.find(query) != std::string::npos)
|
|
snapshot->push_back(it->second);
|
|
}
|
|
}
|
|
|
|
// static
|
|
StatisticsRecorder::HistogramMap* StatisticsRecorder::histograms_ = NULL;
|
|
// static
|
|
base::Lock* StatisticsRecorder::lock_ = NULL;
|
|
// static
|
|
bool StatisticsRecorder::dump_on_exit_ = false;
|
|
|
|
} // namespace base
|