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347 lines
12 KiB
C++
347 lines
12 KiB
C++
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// Copyright 2016 The Chromium Authors
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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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#include "base/metrics/persistent_sample_map.h"
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#include "base/atomicops.h"
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#include "base/check_op.h"
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#include "base/containers/contains.h"
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#include "base/debug/crash_logging.h"
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#include "base/metrics/histogram_macros.h"
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#include "base/metrics/persistent_histogram_allocator.h"
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#include "base/notreached.h"
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#include "base/numerics/safe_conversions.h"
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namespace base {
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typedef HistogramBase::Count Count;
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typedef HistogramBase::Sample Sample;
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namespace {
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// An iterator for going through a PersistentSampleMap. The logic here is
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// identical to that of the iterator for SampleMap but with different data
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// structures. Changes here likely need to be duplicated there.
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template <typename T, typename I>
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class IteratorTemplate : public SampleCountIterator {
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public:
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explicit IteratorTemplate(T& sample_counts)
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: iter_(sample_counts.begin()), end_(sample_counts.end()) {
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SkipEmptyBuckets();
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}
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~IteratorTemplate() override;
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// SampleCountIterator:
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bool Done() const override { return iter_ == end_; }
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void Next() override {
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DCHECK(!Done());
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++iter_;
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SkipEmptyBuckets();
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}
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void Get(HistogramBase::Sample* min,
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int64_t* max,
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HistogramBase::Count* count) override;
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private:
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void SkipEmptyBuckets() {
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while (!Done() && subtle::NoBarrier_Load(iter_->second) == 0) {
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++iter_;
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}
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}
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I iter_;
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const I end_;
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};
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typedef std::map<HistogramBase::Sample,
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raw_ptr<HistogramBase::Count, CtnExperimental>>
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SampleToCountMap;
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typedef IteratorTemplate<const SampleToCountMap,
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SampleToCountMap::const_iterator>
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PersistentSampleMapIterator;
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template <>
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PersistentSampleMapIterator::~IteratorTemplate() = default;
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// Get() for an iterator of a PersistentSampleMap.
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template <>
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void PersistentSampleMapIterator::Get(Sample* min, int64_t* max, Count* count) {
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DCHECK(!Done());
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*min = iter_->first;
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*max = strict_cast<int64_t>(iter_->first) + 1;
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// We have to do the following atomically, because even if the caller is using
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// a lock, a separate process (that is not aware of this lock) may
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// concurrently modify the value (note that iter_->second is a pointer to a
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// sample count, which may live in shared memory).
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*count = subtle::NoBarrier_Load(iter_->second);
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}
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typedef IteratorTemplate<SampleToCountMap, SampleToCountMap::iterator>
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ExtractingPersistentSampleMapIterator;
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template <>
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ExtractingPersistentSampleMapIterator::~IteratorTemplate() {
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// Ensure that the user has consumed all the samples in order to ensure no
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// samples are lost.
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DCHECK(Done());
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}
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// Get() for an extracting iterator of a PersistentSampleMap.
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template <>
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void ExtractingPersistentSampleMapIterator::Get(Sample* min,
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int64_t* max,
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Count* count) {
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DCHECK(!Done());
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*min = iter_->first;
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*max = strict_cast<int64_t>(iter_->first) + 1;
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// We have to do the following atomically, because even if the caller is using
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// a lock, a separate process (that is not aware of this lock) may
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// concurrently modify the value (note that iter_->second is a pointer to a
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// sample count, which may live in shared memory).
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*count = subtle::NoBarrier_AtomicExchange(iter_->second, 0);
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}
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// This structure holds an entry for a PersistentSampleMap within a persistent
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// memory allocator. The "id" must be unique across all maps held by an
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// allocator or they will get attached to the wrong sample map.
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struct SampleRecord {
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// SHA1(SampleRecord): Increment this if structure changes!
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static constexpr uint32_t kPersistentTypeId = 0x8FE6A69F + 1;
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// Expected size for 32/64-bit check.
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static constexpr size_t kExpectedInstanceSize = 16;
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uint64_t id; // Unique identifier of owner.
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Sample value; // The value for which this record holds a count.
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Count count; // The count associated with the above value.
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};
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} // namespace
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PersistentSampleMap::PersistentSampleMap(
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uint64_t id,
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PersistentHistogramAllocator* allocator,
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Metadata* meta)
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: HistogramSamples(id, meta), allocator_(allocator) {}
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PersistentSampleMap::~PersistentSampleMap() = default;
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void PersistentSampleMap::Accumulate(Sample value, Count count) {
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// We have to do the following atomically, because even if the caller is using
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// a lock, a separate process (that is not aware of this lock) may
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// concurrently modify the value.
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subtle::NoBarrier_AtomicIncrement(GetOrCreateSampleCountStorage(value),
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count);
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IncreaseSumAndCount(strict_cast<int64_t>(count) * value, count);
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}
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Count PersistentSampleMap::GetCount(Sample value) const {
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// Have to override "const" to make sure all samples have been loaded before
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// being able to know what value to return.
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Count* count_pointer =
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const_cast<PersistentSampleMap*>(this)->GetSampleCountStorage(value);
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return count_pointer ? subtle::NoBarrier_Load(count_pointer) : 0;
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}
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Count PersistentSampleMap::TotalCount() const {
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// Have to override "const" in order to make sure all samples have been
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// loaded before trying to iterate over the map.
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const_cast<PersistentSampleMap*>(this)->ImportSamples(
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/*until_value=*/std::nullopt);
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Count count = 0;
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for (const auto& entry : sample_counts_) {
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count += subtle::NoBarrier_Load(entry.second);
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}
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return count;
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}
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std::unique_ptr<SampleCountIterator> PersistentSampleMap::Iterator() const {
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// Have to override "const" in order to make sure all samples have been
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// loaded before trying to iterate over the map.
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const_cast<PersistentSampleMap*>(this)->ImportSamples(
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/*until_value=*/std::nullopt);
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return std::make_unique<PersistentSampleMapIterator>(sample_counts_);
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}
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std::unique_ptr<SampleCountIterator> PersistentSampleMap::ExtractingIterator() {
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// Make sure all samples have been loaded before trying to iterate over the
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// map.
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ImportSamples(/*until_value=*/std::nullopt);
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return std::make_unique<ExtractingPersistentSampleMapIterator>(
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sample_counts_);
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}
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bool PersistentSampleMap::IsDefinitelyEmpty() const {
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// Not implemented.
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NOTREACHED();
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}
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// static
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PersistentMemoryAllocator::Reference
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PersistentSampleMap::GetNextPersistentRecord(
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PersistentMemoryAllocator::Iterator& iterator,
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uint64_t* sample_map_id,
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Sample* value) {
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const SampleRecord* record = iterator.GetNextOfObject<SampleRecord>();
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if (!record) {
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return 0;
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}
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*sample_map_id = record->id;
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*value = record->value;
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return iterator.GetAsReference(record);
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}
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// static
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PersistentMemoryAllocator::Reference
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PersistentSampleMap::CreatePersistentRecord(
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PersistentMemoryAllocator* allocator,
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uint64_t sample_map_id,
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Sample value) {
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SampleRecord* record = allocator->New<SampleRecord>();
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if (!record) {
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if (!allocator->IsFull()) {
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#if !BUILDFLAG(IS_NACL)
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// TODO(crbug.com/40064026): Remove these. They are used to investigate
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// unexpected failures.
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SCOPED_CRASH_KEY_BOOL("PersistentSampleMap", "corrupted",
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allocator->IsCorrupt());
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#endif // !BUILDFLAG(IS_NACL)
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DUMP_WILL_BE_NOTREACHED() << "corrupt=" << allocator->IsCorrupt();
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}
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return 0;
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}
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record->id = sample_map_id;
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record->value = value;
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record->count = 0;
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PersistentMemoryAllocator::Reference ref = allocator->GetAsReference(record);
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allocator->MakeIterable(ref);
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return ref;
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}
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bool PersistentSampleMap::AddSubtractImpl(SampleCountIterator* iter,
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Operator op) {
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Sample min;
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int64_t max;
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Count count;
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for (; !iter->Done(); iter->Next()) {
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iter->Get(&min, &max, &count);
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if (count == 0)
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continue;
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if (strict_cast<int64_t>(min) + 1 != max)
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return false; // SparseHistogram only supports bucket with size 1.
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// We have to do the following atomically, because even if the caller is
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// using a lock, a separate process (that is not aware of this lock) may
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// concurrently modify the value.
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subtle::Barrier_AtomicIncrement(
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GetOrCreateSampleCountStorage(min),
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(op == HistogramSamples::ADD) ? count : -count);
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}
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return true;
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}
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Count* PersistentSampleMap::GetSampleCountStorage(Sample value) {
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// If |value| is already in the map, just return that.
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auto it = sample_counts_.find(value);
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if (it != sample_counts_.end())
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return it->second;
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// Import any new samples from persistent memory looking for the value.
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return ImportSamples(/*until_value=*/value);
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}
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Count* PersistentSampleMap::GetOrCreateSampleCountStorage(Sample value) {
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// Get any existing count storage.
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Count* count_pointer = GetSampleCountStorage(value);
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if (count_pointer)
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return count_pointer;
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// Create a new record in persistent memory for the value. |records_| will
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// have been initialized by the GetSampleCountStorage() call above.
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CHECK(records_);
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PersistentMemoryAllocator::Reference ref = records_->CreateNew(value);
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if (!ref) {
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// If a new record could not be created then the underlying allocator is
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// full or corrupt. Instead, allocate the counter from the heap. This
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// sample will not be persistent, will not be shared, and will leak...
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// but it's better than crashing.
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count_pointer = new Count(0);
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sample_counts_[value] = count_pointer;
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return count_pointer;
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}
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// A race condition between two independent processes (i.e. two independent
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// histogram objects sharing the same sample data) could cause two of the
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// above records to be created. The allocator, however, forces a strict
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// ordering on iterable objects so use the import method to actually add the
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// just-created record. This ensures that all PersistentSampleMap objects
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// will always use the same record, whichever was first made iterable.
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// Thread-safety within a process where multiple threads use the same
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// histogram object is delegated to the controlling histogram object which,
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// for sparse histograms, is a lock object.
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count_pointer = ImportSamples(/*until_value=*/value);
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DCHECK(count_pointer);
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return count_pointer;
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}
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PersistentSampleMapRecords* PersistentSampleMap::GetRecords() {
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// The |records_| pointer is lazily fetched from the |allocator_| only on
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// first use. Sometimes duplicate histograms are created by race conditions
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// and if both were to grab the records object, there would be a conflict.
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// Use of a histogram, and thus a call to this method, won't occur until
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// after the histogram has been de-dup'd.
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if (!records_) {
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records_ = allocator_->CreateSampleMapRecords(id());
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}
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return records_.get();
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}
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Count* PersistentSampleMap::ImportSamples(std::optional<Sample> until_value) {
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std::vector<PersistentMemoryAllocator::Reference> refs;
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PersistentSampleMapRecords* records = GetRecords();
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while (!(refs = records->GetNextRecords(until_value)).empty()) {
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// GetNextRecords() returns a list of new unseen records belonging to this
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// map. Iterate through them all and store them internally. Note that if
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// |until_value| was found, it will be the last element in |refs|.
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for (auto ref : refs) {
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SampleRecord* record = records->GetAsObject<SampleRecord>(ref);
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if (!record) {
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continue;
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}
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DCHECK_EQ(id(), record->id);
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// Check if the record's value is already known.
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if (!Contains(sample_counts_, record->value)) {
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// No: Add it to map of known values.
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sample_counts_[record->value] = &record->count;
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} else {
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// Yes: Ignore it; it's a duplicate caused by a race condition -- see
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// code & comment in GetOrCreateSampleCountStorage() for details.
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// Check that nothing ever operated on the duplicate record.
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DCHECK_EQ(0, record->count);
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}
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// Check if it's the value being searched for and, if so, stop here.
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// Because race conditions can cause multiple records for a single value,
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// be sure to return the first one found.
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if (until_value.has_value() && record->value == until_value.value()) {
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// Ensure that this was the last value in |refs|.
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CHECK_EQ(refs.back(), ref);
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return &record->count;
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}
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}
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}
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return nullptr;
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}
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} // namespace base
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