| Index: base/metrics/histogram.cc
|
| ===================================================================
|
| --- base/metrics/histogram.cc (revision 148055)
|
| +++ base/metrics/histogram.cc (working copy)
|
| @@ -20,95 +20,143 @@
|
| #include "base/stringprintf.h"
|
| #include "base/synchronization/lock.h"
|
|
|
| +using std::string;
|
| +using std::vector;
|
| +
|
| namespace base {
|
|
|
| -// Static table of checksums for all possible 8 bit bytes.
|
| -const uint32 Histogram::kCrcTable[256] = {0x0, 0x77073096L, 0xee0e612cL,
|
| -0x990951baL, 0x76dc419L, 0x706af48fL, 0xe963a535L, 0x9e6495a3L, 0xedb8832L,
|
| -0x79dcb8a4L, 0xe0d5e91eL, 0x97d2d988L, 0x9b64c2bL, 0x7eb17cbdL, 0xe7b82d07L,
|
| -0x90bf1d91L, 0x1db71064L, 0x6ab020f2L, 0xf3b97148L, 0x84be41deL, 0x1adad47dL,
|
| -0x6ddde4ebL, 0xf4d4b551L, 0x83d385c7L, 0x136c9856L, 0x646ba8c0L, 0xfd62f97aL,
|
| -0x8a65c9ecL, 0x14015c4fL, 0x63066cd9L, 0xfa0f3d63L, 0x8d080df5L, 0x3b6e20c8L,
|
| -0x4c69105eL, 0xd56041e4L, 0xa2677172L, 0x3c03e4d1L, 0x4b04d447L, 0xd20d85fdL,
|
| -0xa50ab56bL, 0x35b5a8faL, 0x42b2986cL, 0xdbbbc9d6L, 0xacbcf940L, 0x32d86ce3L,
|
| -0x45df5c75L, 0xdcd60dcfL, 0xabd13d59L, 0x26d930acL, 0x51de003aL, 0xc8d75180L,
|
| -0xbfd06116L, 0x21b4f4b5L, 0x56b3c423L, 0xcfba9599L, 0xb8bda50fL, 0x2802b89eL,
|
| -0x5f058808L, 0xc60cd9b2L, 0xb10be924L, 0x2f6f7c87L, 0x58684c11L, 0xc1611dabL,
|
| -0xb6662d3dL, 0x76dc4190L, 0x1db7106L, 0x98d220bcL, 0xefd5102aL, 0x71b18589L,
|
| -0x6b6b51fL, 0x9fbfe4a5L, 0xe8b8d433L, 0x7807c9a2L, 0xf00f934L, 0x9609a88eL,
|
| -0xe10e9818L, 0x7f6a0dbbL, 0x86d3d2dL, 0x91646c97L, 0xe6635c01L, 0x6b6b51f4L,
|
| -0x1c6c6162L, 0x856530d8L, 0xf262004eL, 0x6c0695edL, 0x1b01a57bL, 0x8208f4c1L,
|
| -0xf50fc457L, 0x65b0d9c6L, 0x12b7e950L, 0x8bbeb8eaL, 0xfcb9887cL, 0x62dd1ddfL,
|
| -0x15da2d49L, 0x8cd37cf3L, 0xfbd44c65L, 0x4db26158L, 0x3ab551ceL, 0xa3bc0074L,
|
| -0xd4bb30e2L, 0x4adfa541L, 0x3dd895d7L, 0xa4d1c46dL, 0xd3d6f4fbL, 0x4369e96aL,
|
| -0x346ed9fcL, 0xad678846L, 0xda60b8d0L, 0x44042d73L, 0x33031de5L, 0xaa0a4c5fL,
|
| -0xdd0d7cc9L, 0x5005713cL, 0x270241aaL, 0xbe0b1010L, 0xc90c2086L, 0x5768b525L,
|
| -0x206f85b3L, 0xb966d409L, 0xce61e49fL, 0x5edef90eL, 0x29d9c998L, 0xb0d09822L,
|
| -0xc7d7a8b4L, 0x59b33d17L, 0x2eb40d81L, 0xb7bd5c3bL, 0xc0ba6cadL, 0xedb88320L,
|
| -0x9abfb3b6L, 0x3b6e20cL, 0x74b1d29aL, 0xead54739L, 0x9dd277afL, 0x4db2615L,
|
| -0x73dc1683L, 0xe3630b12L, 0x94643b84L, 0xd6d6a3eL, 0x7a6a5aa8L, 0xe40ecf0bL,
|
| -0x9309ff9dL, 0xa00ae27L, 0x7d079eb1L, 0xf00f9344L, 0x8708a3d2L, 0x1e01f268L,
|
| -0x6906c2feL, 0xf762575dL, 0x806567cbL, 0x196c3671L, 0x6e6b06e7L, 0xfed41b76L,
|
| -0x89d32be0L, 0x10da7a5aL, 0x67dd4accL, 0xf9b9df6fL, 0x8ebeeff9L, 0x17b7be43L,
|
| -0x60b08ed5L, 0xd6d6a3e8L, 0xa1d1937eL, 0x38d8c2c4L, 0x4fdff252L, 0xd1bb67f1L,
|
| -0xa6bc5767L, 0x3fb506ddL, 0x48b2364bL, 0xd80d2bdaL, 0xaf0a1b4cL, 0x36034af6L,
|
| -0x41047a60L, 0xdf60efc3L, 0xa867df55L, 0x316e8eefL, 0x4669be79L, 0xcb61b38cL,
|
| -0xbc66831aL, 0x256fd2a0L, 0x5268e236L, 0xcc0c7795L, 0xbb0b4703L, 0x220216b9L,
|
| -0x5505262fL, 0xc5ba3bbeL, 0xb2bd0b28L, 0x2bb45a92L, 0x5cb36a04L, 0xc2d7ffa7L,
|
| -0xb5d0cf31L, 0x2cd99e8bL, 0x5bdeae1dL, 0x9b64c2b0L, 0xec63f226L, 0x756aa39cL,
|
| -0x26d930aL, 0x9c0906a9L, 0xeb0e363fL, 0x72076785L, 0x5005713L, 0x95bf4a82L,
|
| -0xe2b87a14L, 0x7bb12baeL, 0xcb61b38L, 0x92d28e9bL, 0xe5d5be0dL, 0x7cdcefb7L,
|
| -0xbdbdf21L, 0x86d3d2d4L, 0xf1d4e242L, 0x68ddb3f8L, 0x1fda836eL, 0x81be16cdL,
|
| -0xf6b9265bL, 0x6fb077e1L, 0x18b74777L, 0x88085ae6L, 0xff0f6a70L, 0x66063bcaL,
|
| -0x11010b5cL, 0x8f659effL, 0xf862ae69L, 0x616bffd3L, 0x166ccf45L, 0xa00ae278L,
|
| -0xd70dd2eeL, 0x4e048354L, 0x3903b3c2L, 0xa7672661L, 0xd06016f7L, 0x4969474dL,
|
| -0x3e6e77dbL, 0xaed16a4aL, 0xd9d65adcL, 0x40df0b66L, 0x37d83bf0L, 0xa9bcae53L,
|
| -0xdebb9ec5L, 0x47b2cf7fL, 0x30b5ffe9L, 0xbdbdf21cL, 0xcabac28aL, 0x53b39330L,
|
| -0x24b4a3a6L, 0xbad03605L, 0xcdd70693L, 0x54de5729L, 0x23d967bfL, 0xb3667a2eL,
|
| -0xc4614ab8L, 0x5d681b02L, 0x2a6f2b94L, 0xb40bbe37L, 0xc30c8ea1L, 0x5a05df1bL,
|
| -0x2d02ef8dL,
|
| -};
|
| +typedef HistogramBase::Count Count;
|
| +typedef HistogramBase::Sample Sample;
|
|
|
| -typedef Histogram::Count Count;
|
| -
|
| // static
|
| const size_t Histogram::kBucketCount_MAX = 16384u;
|
|
|
| -Histogram* Histogram::FactoryGet(const std::string& name,
|
| +Histogram::SampleSet::SampleSet(size_t size)
|
| + : counts_(size, 0),
|
| + sum_(0),
|
| + redundant_count_(0) {}
|
| +
|
| +Histogram::SampleSet::SampleSet()
|
| + : counts_(),
|
| + sum_(0),
|
| + redundant_count_(0) {}
|
| +
|
| +Histogram::SampleSet::~SampleSet() {}
|
| +
|
| +void Histogram::SampleSet::Resize(size_t size) {
|
| + counts_.resize(size, 0);
|
| +}
|
| +
|
| +void Histogram::SampleSet::Accumulate(Sample value, Count count,
|
| + size_t index) {
|
| + DCHECK(count == 1 || count == -1);
|
| + counts_[index] += count;
|
| + sum_ += count * value;
|
| + redundant_count_ += count;
|
| + DCHECK_GE(counts_[index], 0);
|
| + DCHECK_GE(sum_, 0);
|
| + DCHECK_GE(redundant_count_, 0);
|
| +}
|
| +
|
| +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_;
|
| + 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_;
|
| + 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->WriteUInt64(counts_.size());
|
| +
|
| + for (size_t index = 0; index < counts_.size(); ++index) {
|
| + pickle->WriteInt(counts_[index]);
|
| + }
|
| +
|
| + return true;
|
| +}
|
| +
|
| +bool Histogram::SampleSet::Deserialize(PickleIterator* iter) {
|
| + DCHECK_EQ(counts_.size(), 0u);
|
| + DCHECK_EQ(sum_, 0);
|
| + DCHECK_EQ(redundant_count_, 0);
|
| +
|
| + uint64 counts_size;
|
| +
|
| + if (!iter->ReadInt64(&sum_) ||
|
| + !iter->ReadInt64(&redundant_count_) ||
|
| + !iter->ReadUInt64(&counts_size)) {
|
| + return false;
|
| + }
|
| +
|
| + if (counts_size == 0)
|
| + return false;
|
| +
|
| + int count = 0;
|
| + for (uint64 index = 0; index < counts_size; ++index) {
|
| + int i;
|
| + if (!iter->ReadInt(&i))
|
| + return false;
|
| + counts_.push_back(i);
|
| + count += i;
|
| + }
|
| + DCHECK_EQ(count, redundant_count_);
|
| + return count == redundant_count_;
|
| +}
|
| +
|
| +Histogram* Histogram::FactoryGet(const string& name,
|
| Sample minimum,
|
| Sample maximum,
|
| size_t bucket_count,
|
| Flags flags) {
|
| - // Defensive code.
|
| - if (minimum < 1)
|
| - minimum = 1;
|
| - if (maximum > kSampleType_MAX - 1)
|
| - maximum = kSampleType_MAX - 1;
|
| + CHECK(InspectConstructionArguments(name, &minimum, &maximum, &bucket_count));
|
|
|
| - DCHECK_GT(maximum, minimum);
|
| - DCHECK_GT((Sample) bucket_count, 2);
|
| - DCHECK_LE((Sample) bucket_count, maximum - minimum + 2);
|
| -
|
| Histogram* histogram = StatisticsRecorder::FindHistogram(name);
|
| if (!histogram) {
|
| - // Extra variable is not needed... but this keeps this section basically
|
| - // identical to other derived classes in this file (and compiler will
|
| - // optimize away the extra variable.
|
| // To avoid racy destruction at shutdown, the following will be leaked.
|
| + BucketRanges* ranges = new BucketRanges(bucket_count + 1);
|
| + InitializeBucketRanges(minimum, maximum, bucket_count, ranges);
|
| + const BucketRanges* registered_ranges =
|
| + StatisticsRecorder::RegisterOrDeleteDuplicateRanges(ranges);
|
| +
|
| Histogram* tentative_histogram =
|
| - new Histogram(name, minimum, maximum, bucket_count);
|
| - tentative_histogram->InitializeBucketRange();
|
| + new Histogram(name, minimum, maximum, bucket_count, registered_ranges);
|
| tentative_histogram->SetFlags(flags);
|
| histogram =
|
| StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
|
| }
|
|
|
| - DCHECK_EQ(HISTOGRAM, histogram->histogram_type());
|
| - DCHECK(histogram->HasConstructorArguments(minimum, maximum, bucket_count));
|
| + CHECK_EQ(HISTOGRAM, histogram->histogram_type());
|
| + CHECK(histogram->HasConstructionArguments(minimum, maximum, bucket_count));
|
| return histogram;
|
| }
|
|
|
| -Histogram* Histogram::FactoryTimeGet(const std::string& name,
|
| +Histogram* Histogram::FactoryTimeGet(const string& name,
|
| TimeDelta minimum,
|
| TimeDelta maximum,
|
| size_t bucket_count,
|
| @@ -125,6 +173,47 @@
|
| #endif
|
| }
|
|
|
| +// 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.
|
| +//
|
| +// static
|
| +void Histogram::InitializeBucketRanges(Sample minimum,
|
| + Sample maximum,
|
| + size_t bucket_count,
|
| + BucketRanges* ranges) {
|
| + DCHECK_EQ(ranges->size(), bucket_count + 1);
|
| + double log_max = log(static_cast<double>(maximum));
|
| + double log_ratio;
|
| + double log_next;
|
| + size_t bucket_index = 1;
|
| + Sample current = minimum;
|
| + ranges->set_range(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;
|
| + Sample 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.
|
| + ranges->set_range(bucket_index, current);
|
| + }
|
| + ranges->set_range(ranges->size() - 1, HistogramBase::kSampleType_MAX);
|
| + ranges->ResetChecksum();
|
| +}
|
| +
|
| +// static
|
| void Histogram::Add(int value) {
|
| if (value > kSampleType_MAX - 1)
|
| value = kSampleType_MAX - 1;
|
| @@ -149,93 +238,29 @@
|
| }
|
|
|
| // The following methods provide a graphical histogram display.
|
| -void Histogram::WriteHTMLGraph(std::string* output) const {
|
| +void Histogram::WriteHTMLGraph(string* output) const {
|
| // TBD(jar) Write a nice HTML bar chart, with divs an mouse-overs etc.
|
| output->append("<PRE>");
|
| WriteAsciiImpl(true, "<br>", output);
|
| output->append("</PRE>");
|
| }
|
|
|
| -void Histogram::WriteAscii(std::string* output) const {
|
| +void Histogram::WriteAscii(string* output) const {
|
| WriteAsciiImpl(true, "\n", output);
|
| }
|
|
|
| -void Histogram::WriteAsciiImpl(bool graph_it,
|
| - const std::string& newline,
|
| - std::string* output) const {
|
| - // Get local (stack) copies of all effectively volatile class data so that we
|
| - // are consistent across our output activities.
|
| - SampleSet snapshot;
|
| - SnapshotSample(&snapshot);
|
| - Count sample_count = snapshot.TotalCount();
|
| -
|
| - WriteAsciiHeader(snapshot, sample_count, output);
|
| - output->append(newline);
|
| -
|
| - // Prepare to normalize graphical rendering of bucket contents.
|
| - double max_size = 0;
|
| - if (graph_it)
|
| - max_size = GetPeakBucketSize(snapshot);
|
| -
|
| - // Calculate space needed to print bucket range numbers. Leave room to print
|
| - // nearly the largest bucket range without sliding over the histogram.
|
| - size_t largest_non_empty_bucket = bucket_count() - 1;
|
| - while (0 == snapshot.counts(largest_non_empty_bucket)) {
|
| - if (0 == largest_non_empty_bucket)
|
| - break; // All buckets are empty.
|
| - --largest_non_empty_bucket;
|
| - }
|
| -
|
| - // Calculate largest print width needed for any of our bucket range displays.
|
| - size_t print_width = 1;
|
| - for (size_t i = 0; i < bucket_count(); ++i) {
|
| - if (snapshot.counts(i)) {
|
| - size_t width = GetAsciiBucketRange(i).size() + 1;
|
| - if (width > print_width)
|
| - print_width = width;
|
| - }
|
| - }
|
| -
|
| - int64 remaining = sample_count;
|
| - int64 past = 0;
|
| - // Output the actual histogram graph.
|
| - for (size_t i = 0; i < bucket_count(); ++i) {
|
| - Count current = snapshot.counts(i);
|
| - if (!current && !PrintEmptyBucket(i))
|
| - continue;
|
| - remaining -= current;
|
| - std::string range = GetAsciiBucketRange(i);
|
| - output->append(range);
|
| - for (size_t j = 0; range.size() + j < print_width + 1; ++j)
|
| - output->push_back(' ');
|
| - if (0 == current && i < bucket_count() - 1 && 0 == snapshot.counts(i + 1)) {
|
| - while (i < bucket_count() - 1 && 0 == snapshot.counts(i + 1))
|
| - ++i;
|
| - output->append("... ");
|
| - output->append(newline);
|
| - continue; // No reason to plot emptiness.
|
| - }
|
| - double current_size = GetBucketSize(current, i);
|
| - if (graph_it)
|
| - WriteAsciiBucketGraph(current_size, max_size, output);
|
| - WriteAsciiBucketContext(past, current, remaining, i, output);
|
| - output->append(newline);
|
| - past += current;
|
| - }
|
| - DCHECK_EQ(sample_count, past);
|
| -}
|
| -
|
| // static
|
| -std::string Histogram::SerializeHistogramInfo(const Histogram& histogram,
|
| - const SampleSet& snapshot) {
|
| +string Histogram::SerializeHistogramInfo(const Histogram& histogram,
|
| + const SampleSet& snapshot) {
|
| DCHECK_NE(NOT_VALID_IN_RENDERER, histogram.histogram_type());
|
| + DCHECK(histogram.bucket_ranges()->HasValidChecksum());
|
|
|
| Pickle pickle;
|
| pickle.WriteString(histogram.histogram_name());
|
| pickle.WriteInt(histogram.declared_min());
|
| pickle.WriteInt(histogram.declared_max());
|
| pickle.WriteUInt64(histogram.bucket_count());
|
| - pickle.WriteUInt32(histogram.range_checksum());
|
| + pickle.WriteUInt32(histogram.bucket_ranges()->checksum());
|
| pickle.WriteInt(histogram.histogram_type());
|
| pickle.WriteInt(histogram.flags());
|
|
|
| @@ -243,18 +268,18 @@
|
|
|
| histogram.SerializeRanges(&pickle);
|
|
|
| - return std::string(static_cast<const char*>(pickle.data()), pickle.size());
|
| + return string(static_cast<const char*>(pickle.data()), pickle.size());
|
| }
|
|
|
| // static
|
| -bool Histogram::DeserializeHistogramInfo(const std::string& histogram_info) {
|
| +bool Histogram::DeserializeHistogramInfo(const string& histogram_info) {
|
| if (histogram_info.empty()) {
|
| return false;
|
| }
|
|
|
| Pickle pickle(histogram_info.data(),
|
| static_cast<int>(histogram_info.size()));
|
| - std::string histogram_name;
|
| + string histogram_name;
|
| int declared_min;
|
| int declared_max;
|
| uint64 bucket_count;
|
| @@ -300,7 +325,7 @@
|
| } else if (histogram_type == BOOLEAN_HISTOGRAM) {
|
| render_histogram = BooleanHistogram::FactoryGet(histogram_name, flags);
|
| } else if (histogram_type == CUSTOM_HISTOGRAM) {
|
| - std::vector<Histogram::Sample> sample_ranges(bucket_count);
|
| + vector<Sample> sample_ranges(bucket_count);
|
| if (!CustomHistogram::DeserializeRanges(&iter, &sample_ranges)) {
|
| DLOG(ERROR) << "Pickle error decoding ranges: " << histogram_name;
|
| return false;
|
| @@ -316,9 +341,12 @@
|
| DCHECK_EQ(render_histogram->declared_min(), declared_min);
|
| DCHECK_EQ(render_histogram->declared_max(), declared_max);
|
| DCHECK_EQ(render_histogram->bucket_count(), bucket_count);
|
| - DCHECK_EQ(render_histogram->range_checksum(), range_checksum);
|
| DCHECK_EQ(render_histogram->histogram_type(), histogram_type);
|
|
|
| + if (render_histogram->bucket_ranges()->checksum() != range_checksum) {
|
| + return false;
|
| + }
|
| +
|
| if (render_histogram->flags() & kIPCSerializationSourceFlag) {
|
| DVLOG(1) << "Single process mode, histogram observed and not copied: "
|
| << histogram_name;
|
| @@ -330,10 +358,8 @@
|
| return true;
|
| }
|
|
|
| -//------------------------------------------------------------------------------
|
| -// Methods for the validating a sample and a related histogram.
|
| -//------------------------------------------------------------------------------
|
|
|
| +// Validate a sample and related histogram.
|
| Histogram::Inconsistencies Histogram::FindCorruption(
|
| const SampleSet& snapshot) const {
|
| int inconsistencies = NO_INCONSISTENCIES;
|
| @@ -347,7 +373,7 @@
|
| previous_range = new_range;
|
| }
|
|
|
| - if (!HasValidRangeChecksum())
|
| + if (!bucket_ranges()->HasValidChecksum())
|
| inconsistencies |= RANGE_CHECKSUM_ERROR;
|
|
|
| int64 delta64 = snapshot.redundant_count() - count;
|
| @@ -382,7 +408,7 @@
|
| return HISTOGRAM;
|
| }
|
|
|
| -Histogram::Sample Histogram::ranges(size_t i) const {
|
| +Sample Histogram::ranges(size_t i) const {
|
| return bucket_ranges_->range(i);
|
| }
|
|
|
| @@ -397,101 +423,60 @@
|
| *sample = sample_;
|
| }
|
|
|
| -bool Histogram::HasConstructorArguments(Sample minimum,
|
| - Sample maximum,
|
| - size_t bucket_count) {
|
| +bool Histogram::HasConstructionArguments(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_;
|
| -}
|
| -
|
| -Histogram::Histogram(const std::string& name, Sample minimum,
|
| - Sample maximum, size_t bucket_count)
|
| +Histogram::Histogram(const string& name,
|
| + Sample minimum,
|
| + Sample maximum,
|
| + size_t bucket_count,
|
| + const BucketRanges* ranges)
|
| : HistogramBase(name),
|
| + bucket_ranges_(ranges),
|
| declared_min_(minimum),
|
| declared_max_(maximum),
|
| bucket_count_(bucket_count),
|
| flags_(kNoFlags),
|
| - bucket_ranges_(new BucketRanges(bucket_count + 1)),
|
| - range_checksum_(0),
|
| - sample_() {
|
| - Initialize();
|
| -}
|
| + sample_(bucket_count) {}
|
|
|
| -Histogram::Histogram(const std::string& name, TimeDelta minimum,
|
| - TimeDelta maximum, size_t bucket_count)
|
| - : HistogramBase(name),
|
| - declared_min_(static_cast<int> (minimum.InMilliseconds())),
|
| - declared_max_(static_cast<int> (maximum.InMilliseconds())),
|
| - bucket_count_(bucket_count),
|
| - flags_(kNoFlags),
|
| - bucket_ranges_(new BucketRanges(bucket_count + 1)),
|
| - range_checksum_(0),
|
| - sample_() {
|
| - Initialize();
|
| -}
|
| -
|
| Histogram::~Histogram() {
|
| if (StatisticsRecorder::dump_on_exit()) {
|
| - std::string output;
|
| + string output;
|
| WriteAsciiImpl(true, "\n", &output);
|
| DLOG(INFO) << output;
|
| }
|
| +}
|
|
|
| - // Just to make sure most derived class did this properly...
|
| - DCHECK(ValidateBucketRanges());
|
| +// static
|
| +bool Histogram::InspectConstructionArguments(const string& name,
|
| + Sample* minimum,
|
| + Sample* maximum,
|
| + size_t* bucket_count) {
|
| + // Defensive code for backward compatibility.
|
| + if (*minimum < 1) {
|
| + DLOG(WARNING) << "Histogram: " << name << " Bad minimum: " << *minimum;
|
| + *minimum = 1;
|
| + }
|
| + if (*maximum >= kSampleType_MAX) {
|
| + DLOG(WARNING) << "Histogram: " << name << " Bad maximum: " << *maximum;
|
| + *maximum = kSampleType_MAX;
|
| + }
|
| +
|
| + if (*bucket_count < 3 || *bucket_count >= kBucketCount_MAX)
|
| + return false;
|
| + if (*bucket_count > static_cast<size_t>(*maximum - *minimum + 2))
|
| + return false;
|
| + return true;
|
| }
|
|
|
| bool Histogram::SerializeRanges(Pickle* pickle) const {
|
| return true;
|
| }
|
|
|
| -// 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;
|
| }
|
| @@ -535,12 +520,8 @@
|
| return current/denominator;
|
| }
|
|
|
| -void Histogram::ResetRangeChecksum() {
|
| - range_checksum_ = CalculateRangeChecksum();
|
| -}
|
| -
|
| -const std::string Histogram::GetAsciiBucketRange(size_t i) const {
|
| - std::string result;
|
| +const string Histogram::GetAsciiBucketRange(size_t i) const {
|
| + string result;
|
| if (kHexRangePrintingFlag & flags_)
|
| StringAppendF(&result, "%#x", ranges(i));
|
| else
|
| @@ -554,85 +535,74 @@
|
| sample_.Accumulate(value, count, index);
|
| }
|
|
|
| -void Histogram::SetBucketRange(size_t i, Sample value) {
|
| - DCHECK_GT(bucket_count_, i);
|
| - DCHECK_GE(value, 0);
|
| - bucket_ranges_->set_range(i, value);
|
| -}
|
| +//------------------------------------------------------------------------------
|
| +// Private methods
|
|
|
| -bool Histogram::ValidateBucketRanges() const {
|
| - // Standard assertions that all bucket ranges should satisfy.
|
| - DCHECK_EQ(bucket_count_ + 1, bucket_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;
|
| -}
|
| +void Histogram::WriteAsciiImpl(bool graph_it,
|
| + const string& newline,
|
| + string* output) const {
|
| + // Get local (stack) copies of all effectively volatile class data so that we
|
| + // are consistent across our output activities.
|
| + SampleSet snapshot;
|
| + SnapshotSample(&snapshot);
|
| + Count sample_count = snapshot.TotalCount();
|
|
|
| -uint32 Histogram::CalculateRangeChecksum() const {
|
| - DCHECK_EQ(bucket_ranges_->size(), bucket_count() + 1);
|
| - // Seed checksum.
|
| - uint32 checksum = static_cast<uint32>(bucket_ranges_->size());
|
| - for (size_t index = 0; index < bucket_count(); ++index)
|
| - checksum = Crc32(checksum, ranges(index));
|
| - return checksum;
|
| -}
|
| + WriteAsciiHeader(snapshot, sample_count, output);
|
| + output->append(newline);
|
|
|
| -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));
|
| - bucket_ranges_->set_range(bucket_count_, kSampleType_MAX);
|
| -}
|
| + // Prepare to normalize graphical rendering of bucket contents.
|
| + double max_size = 0;
|
| + if (graph_it)
|
| + max_size = GetPeakBucketSize(snapshot);
|
|
|
| -// 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. 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 Histogram::Crc32(uint32 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 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>(converter.ints[1]) << 11);
|
| - sum += sum >> 11;
|
| + // Calculate space needed to print bucket range numbers. Leave room to print
|
| + // nearly the largest bucket range without sliding over the histogram.
|
| + size_t largest_non_empty_bucket = bucket_count() - 1;
|
| + while (0 == snapshot.counts(largest_non_empty_bucket)) {
|
| + if (0 == largest_non_empty_bucket)
|
| + break; // All buckets are empty.
|
| + --largest_non_empty_bucket;
|
| }
|
| - return sum;
|
| -}
|
|
|
| -//------------------------------------------------------------------------------
|
| -// Private methods
|
| + // Calculate largest print width needed for any of our bucket range displays.
|
| + size_t print_width = 1;
|
| + for (size_t i = 0; i < bucket_count(); ++i) {
|
| + if (snapshot.counts(i)) {
|
| + size_t width = GetAsciiBucketRange(i).size() + 1;
|
| + if (width > print_width)
|
| + print_width = width;
|
| + }
|
| + }
|
|
|
| + int64 remaining = sample_count;
|
| + int64 past = 0;
|
| + // Output the actual histogram graph.
|
| + for (size_t i = 0; i < bucket_count(); ++i) {
|
| + Count current = snapshot.counts(i);
|
| + if (!current && !PrintEmptyBucket(i))
|
| + continue;
|
| + remaining -= current;
|
| + string range = GetAsciiBucketRange(i);
|
| + output->append(range);
|
| + for (size_t j = 0; range.size() + j < print_width + 1; ++j)
|
| + output->push_back(' ');
|
| + if (0 == current && i < bucket_count() - 1 && 0 == snapshot.counts(i + 1)) {
|
| + while (i < bucket_count() - 1 && 0 == snapshot.counts(i + 1))
|
| + ++i;
|
| + output->append("... ");
|
| + output->append(newline);
|
| + continue; // No reason to plot emptiness.
|
| + }
|
| + double current_size = GetBucketSize(current, i);
|
| + if (graph_it)
|
| + WriteAsciiBucketGraph(current_size, max_size, output);
|
| + WriteAsciiBucketContext(past, current, remaining, i, output);
|
| + output->append(newline);
|
| + past += current;
|
| + }
|
| + DCHECK_EQ(sample_count, past);
|
| +}
|
| +
|
| double Histogram::GetPeakBucketSize(const SampleSet& snapshot) const {
|
| double max = 0;
|
| for (size_t i = 0; i < bucket_count() ; ++i) {
|
| @@ -645,7 +615,7 @@
|
|
|
| void Histogram::WriteAsciiHeader(const SampleSet& snapshot,
|
| Count sample_count,
|
| - std::string* output) const {
|
| + string* output) const {
|
| StringAppendF(output,
|
| "Histogram: %s recorded %d samples",
|
| histogram_name().c_str(),
|
| @@ -665,7 +635,7 @@
|
| const Count current,
|
| const int64 remaining,
|
| const size_t i,
|
| - std::string* output) const {
|
| + string* output) const {
|
| double scaled_sum = (past + current + remaining) / 100.0;
|
| WriteAsciiBucketValue(current, scaled_sum, output);
|
| if (0 < i) {
|
| @@ -674,13 +644,15 @@
|
| }
|
| }
|
|
|
| -void Histogram::WriteAsciiBucketValue(Count current, double scaled_sum,
|
| - std::string* output) const {
|
| +void Histogram::WriteAsciiBucketValue(Count current,
|
| + double scaled_sum,
|
| + 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 {
|
| +void Histogram::WriteAsciiBucketGraph(double current_size,
|
| + double max_size,
|
| + 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);
|
| @@ -694,148 +666,42 @@
|
| }
|
|
|
| //------------------------------------------------------------------------------
|
| -// Methods for the Histogram::SampleSet class
|
| -//------------------------------------------------------------------------------
|
| -
|
| -Histogram::SampleSet::SampleSet()
|
| - : counts_(),
|
| - sum_(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;
|
| - sum_ += count * value;
|
| - redundant_count_ += count;
|
| - DCHECK_GE(counts_[index], 0);
|
| - DCHECK_GE(sum_, 0);
|
| - DCHECK_GE(redundant_count_, 0);
|
| -}
|
| -
|
| -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_;
|
| - 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_;
|
| - 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->WriteUInt64(counts_.size());
|
| -
|
| - for (size_t index = 0; index < counts_.size(); ++index) {
|
| - pickle->WriteInt(counts_[index]);
|
| - }
|
| -
|
| - return true;
|
| -}
|
| -
|
| -bool Histogram::SampleSet::Deserialize(PickleIterator* iter) {
|
| - DCHECK_EQ(counts_.size(), 0u);
|
| - DCHECK_EQ(sum_, 0);
|
| - DCHECK_EQ(redundant_count_, 0);
|
| -
|
| - uint64 counts_size;
|
| -
|
| - if (!iter->ReadInt64(&sum_) ||
|
| - !iter->ReadInt64(&redundant_count_) ||
|
| - !iter->ReadUInt64(&counts_size)) {
|
| - return false;
|
| - }
|
| -
|
| - if (counts_size == 0)
|
| - return false;
|
| -
|
| - int count = 0;
|
| - for (uint64 index = 0; index < counts_size; ++index) {
|
| - int i;
|
| - if (!iter->ReadInt(&i))
|
| - return false;
|
| - counts_.push_back(i);
|
| - count += i;
|
| - }
|
| - DCHECK_EQ(count, redundant_count_);
|
| - return count == redundant_count_;
|
| -}
|
| -
|
| -//------------------------------------------------------------------------------
|
| // LinearHistogram: This histogram uses a traditional set of evenly spaced
|
| // buckets.
|
| //------------------------------------------------------------------------------
|
|
|
| -LinearHistogram::~LinearHistogram() {
|
| -}
|
| +LinearHistogram::~LinearHistogram() {}
|
|
|
| -Histogram* LinearHistogram::FactoryGet(const std::string& name,
|
| +Histogram* LinearHistogram::FactoryGet(const string& name,
|
| Sample minimum,
|
| Sample maximum,
|
| size_t bucket_count,
|
| Flags flags) {
|
| - if (minimum < 1)
|
| - minimum = 1;
|
| - if (maximum > kSampleType_MAX - 1)
|
| - maximum = kSampleType_MAX - 1;
|
| + CHECK(Histogram::InspectConstructionArguments(name, &minimum, &maximum,
|
| + &bucket_count));
|
|
|
| - DCHECK_GT(maximum, minimum);
|
| - DCHECK_GT((Sample) bucket_count, 2);
|
| - DCHECK_LE((Sample) bucket_count, maximum - minimum + 2);
|
| -
|
| Histogram* histogram = StatisticsRecorder::FindHistogram(name);
|
| if (!histogram) {
|
| // To avoid racy destruction at shutdown, the following will be leaked.
|
| + BucketRanges* ranges = new BucketRanges(bucket_count + 1);
|
| + InitializeBucketRanges(minimum, maximum, bucket_count, ranges);
|
| + const BucketRanges* registered_ranges =
|
| + StatisticsRecorder::RegisterOrDeleteDuplicateRanges(ranges);
|
| +
|
| LinearHistogram* tentative_histogram =
|
| - new LinearHistogram(name, minimum, maximum, bucket_count);
|
| - tentative_histogram->InitializeBucketRange();
|
| + new LinearHistogram(name, minimum, maximum, bucket_count,
|
| + registered_ranges);
|
| tentative_histogram->SetFlags(flags);
|
| histogram =
|
| StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
|
| }
|
|
|
| - DCHECK_EQ(LINEAR_HISTOGRAM, histogram->histogram_type());
|
| - DCHECK(histogram->HasConstructorArguments(minimum, maximum, bucket_count));
|
| + CHECK_EQ(LINEAR_HISTOGRAM, histogram->histogram_type());
|
| + CHECK(histogram->HasConstructionArguments(minimum, maximum, bucket_count));
|
| return histogram;
|
| }
|
|
|
| -Histogram* LinearHistogram::FactoryTimeGet(const std::string& name,
|
| +Histogram* LinearHistogram::FactoryTimeGet(const string& name,
|
| TimeDelta minimum,
|
| TimeDelta maximum,
|
| size_t bucket_count,
|
| @@ -855,35 +721,14 @@
|
| }
|
| }
|
|
|
| -LinearHistogram::LinearHistogram(const std::string& name,
|
| +LinearHistogram::LinearHistogram(const string& name,
|
| Sample minimum,
|
| Sample maximum,
|
| - size_t bucket_count)
|
| - : Histogram(name, minimum >= 1 ? minimum : 1, maximum, bucket_count) {
|
| + size_t bucket_count,
|
| + const BucketRanges* ranges)
|
| + : Histogram(name, minimum, maximum, bucket_count, ranges) {
|
| }
|
|
|
| -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)
|
| @@ -892,7 +737,7 @@
|
| return current/denominator;
|
| }
|
|
|
| -const std::string LinearHistogram::GetAsciiBucketRange(size_t i) const {
|
| +const string LinearHistogram::GetAsciiBucketRange(size_t i) const {
|
| int range = ranges(i);
|
| BucketDescriptionMap::const_iterator it = bucket_description_.find(range);
|
| if (it == bucket_description_.end())
|
| @@ -904,23 +749,45 @@
|
| return bucket_description_.find(ranges(index)) == bucket_description_.end();
|
| }
|
|
|
| +// static
|
| +void LinearHistogram::InitializeBucketRanges(Sample minimum,
|
| + Sample maximum,
|
| + size_t bucket_count,
|
| + BucketRanges* ranges) {
|
| + DCHECK_EQ(ranges->size(), bucket_count + 1);
|
| + double min = minimum;
|
| + double max = maximum;
|
| + size_t i;
|
| + for (i = 1; i < bucket_count; ++i) {
|
| + double linear_range =
|
| + (min * (bucket_count -1 - i) + max * (i - 1)) / (bucket_count - 2);
|
| + ranges->set_range(i, static_cast<Sample>(linear_range + 0.5));
|
| + }
|
| + ranges->set_range(ranges->size() - 1, HistogramBase::kSampleType_MAX);
|
| + ranges->ResetChecksum();
|
| +}
|
|
|
| //------------------------------------------------------------------------------
|
| // This section provides implementation for BooleanHistogram.
|
| //------------------------------------------------------------------------------
|
|
|
| -Histogram* BooleanHistogram::FactoryGet(const std::string& name, Flags flags) {
|
| +Histogram* BooleanHistogram::FactoryGet(const string& name, Flags flags) {
|
| Histogram* histogram = StatisticsRecorder::FindHistogram(name);
|
| if (!histogram) {
|
| // To avoid racy destruction at shutdown, the following will be leaked.
|
| - BooleanHistogram* tentative_histogram = new BooleanHistogram(name);
|
| - tentative_histogram->InitializeBucketRange();
|
| + BucketRanges* ranges = new BucketRanges(4);
|
| + LinearHistogram::InitializeBucketRanges(1, 2, 3, ranges);
|
| + const BucketRanges* registered_ranges =
|
| + StatisticsRecorder::RegisterOrDeleteDuplicateRanges(ranges);
|
| +
|
| + BooleanHistogram* tentative_histogram =
|
| + new BooleanHistogram(name, registered_ranges);
|
| tentative_histogram->SetFlags(flags);
|
| histogram =
|
| StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
|
| }
|
|
|
| - DCHECK_EQ(BOOLEAN_HISTOGRAM, histogram->histogram_type());
|
| + CHECK_EQ(BOOLEAN_HISTOGRAM, histogram->histogram_type());
|
| return histogram;
|
| }
|
|
|
| @@ -932,43 +799,35 @@
|
| Add(value ? 1 : 0);
|
| }
|
|
|
| -BooleanHistogram::BooleanHistogram(const std::string& name)
|
| - : LinearHistogram(name, 1, 2, 3) {
|
| -}
|
| +BooleanHistogram::BooleanHistogram(const string& name,
|
| + const BucketRanges* ranges)
|
| + : LinearHistogram(name, 1, 2, 3, ranges) {}
|
|
|
| //------------------------------------------------------------------------------
|
| // CustomHistogram:
|
| //------------------------------------------------------------------------------
|
|
|
| -Histogram* CustomHistogram::FactoryGet(const std::string& name,
|
| - const std::vector<Sample>& custom_ranges,
|
| +Histogram* CustomHistogram::FactoryGet(const string& name,
|
| + const vector<Sample>& custom_ranges,
|
| Flags flags) {
|
| - // 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].
|
| - }
|
| + CHECK(ValidateCustomRanges(custom_ranges));
|
|
|
| - DCHECK_LT(ranges.back(), kSampleType_MAX);
|
| -
|
| Histogram* histogram = StatisticsRecorder::FindHistogram(name);
|
| if (!histogram) {
|
| + BucketRanges* ranges = CreateBucketRangesFromCustomRanges(custom_ranges);
|
| + const BucketRanges* registered_ranges =
|
| + StatisticsRecorder::RegisterOrDeleteDuplicateRanges(ranges);
|
| +
|
| // To avoid racy destruction at shutdown, the following will be leaked.
|
| - CustomHistogram* tentative_histogram = new CustomHistogram(name, ranges);
|
| - tentative_histogram->InitializedCustomBucketRange(ranges);
|
| + CustomHistogram* tentative_histogram =
|
| + new CustomHistogram(name, registered_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()));
|
| + CHECK_EQ(histogram->histogram_type(), CUSTOM_HISTOGRAM);
|
| return histogram;
|
| }
|
|
|
| @@ -977,9 +836,9 @@
|
| }
|
|
|
| // static
|
| -std::vector<Histogram::Sample> CustomHistogram::ArrayToCustomRanges(
|
| +vector<Sample> CustomHistogram::ArrayToCustomRanges(
|
| const Sample* values, size_t num_values) {
|
| - std::vector<Sample> all_values;
|
| + vector<Sample> all_values;
|
| for (size_t i = 0; i < num_values; ++i) {
|
| Sample value = values[i];
|
| all_values.push_back(value);
|
| @@ -991,13 +850,13 @@
|
| return all_values;
|
| }
|
|
|
| -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);
|
| -}
|
| +CustomHistogram::CustomHistogram(const string& name,
|
| + const BucketRanges* ranges)
|
| + : Histogram(name,
|
| + ranges->range(1),
|
| + ranges->range(ranges->size() - 2),
|
| + ranges->size() - 1,
|
| + ranges) {}
|
|
|
| bool CustomHistogram::SerializeRanges(Pickle* pickle) const {
|
| for (size_t i = 0; i < bucket_ranges()->size(); ++i) {
|
| @@ -1009,7 +868,7 @@
|
|
|
| // static
|
| bool CustomHistogram::DeserializeRanges(
|
| - PickleIterator* iter, std::vector<Histogram::Sample>* ranges) {
|
| + PickleIterator* iter, vector<Sample>* ranges) {
|
| for (size_t i = 0; i < ranges->size(); ++i) {
|
| if (!iter->ReadInt(&(*ranges)[i]))
|
| return false;
|
| @@ -1017,18 +876,39 @@
|
| return true;
|
| }
|
|
|
| -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;
|
| }
|
|
|
| +// static
|
| +bool CustomHistogram::ValidateCustomRanges(
|
| + const vector<Sample>& custom_ranges) {
|
| + if (custom_ranges.size() < 1)
|
| + return false;
|
| + for (size_t i = 0; i < custom_ranges.size(); i++) {
|
| + Sample s = custom_ranges[i];
|
| + if (s < 0 || s > HistogramBase::kSampleType_MAX - 1)
|
| + return false;
|
| + }
|
| + return true;
|
| +}
|
| +
|
| +// static
|
| +BucketRanges* CustomHistogram::CreateBucketRangesFromCustomRanges(
|
| + const vector<Sample>& custom_ranges) {
|
| + // Remove the duplicates in the custom ranges array.
|
| + vector<int> ranges = custom_ranges;
|
| + ranges.push_back(0); // Ensure we have a zero value.
|
| + ranges.push_back(HistogramBase::kSampleType_MAX);
|
| + std::sort(ranges.begin(), ranges.end());
|
| + ranges.erase(std::unique(ranges.begin(), ranges.end()), ranges.end());
|
| +
|
| + BucketRanges* bucket_ranges = new BucketRanges(ranges.size());
|
| + for (size_t i = 0; i < ranges.size(); i++) {
|
| + bucket_ranges->set_range(i, ranges[i]);
|
| + }
|
| + bucket_ranges->ResetChecksum();
|
| + return bucket_ranges;
|
| +}
|
| +
|
| } // namespace base
|
|
|