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/*
* Copyright (C) 2020 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef ART_LIBARTBASE_BASE_METRICS_METRICS_H_
#define ART_LIBARTBASE_BASE_METRICS_METRICS_H_
#include <stdint.h>
#include <array>
#include <atomic>
#include <optional>
#include <sstream>
#include <string_view>
#include <thread>
#include <vector>
#include "android-base/logging.h"
#include "base/bit_utils.h"
#include "base/time_utils.h"
#include "tinyxml2.h"
#pragma clang diagnostic push
#pragma clang diagnostic error "-Wconversion"
// See README.md in this directory for how to define metrics.
// Metrics reported as Event Metrics.
#define ART_EVENT_METRICS(METRIC) \
METRIC(ClassLoadingTotalTime, MetricsCounter) \
METRIC(ClassVerificationTotalTime, MetricsCounter) \
METRIC(ClassVerificationCount, MetricsCounter) \
METRIC(WorldStopTimeDuringGCAvg, MetricsAverage) \
METRIC(YoungGcCount, MetricsCounter) \
METRIC(FullGcCount, MetricsCounter) \
METRIC(TotalBytesAllocated, MetricsCounter) \
METRIC(TotalGcCollectionTime, MetricsCounter) \
METRIC(YoungGcThroughputAvg, MetricsAverage) \
METRIC(FullGcThroughputAvg, MetricsAverage) \
METRIC(YoungGcTracingThroughputAvg, MetricsAverage) \
METRIC(FullGcTracingThroughputAvg, MetricsAverage) \
METRIC(JitMethodCompileTotalTime, MetricsCounter) \
METRIC(JitMethodCompileCount, MetricsCounter) \
METRIC(YoungGcCollectionTime, MetricsHistogram, 15, 0, 60'000) \
METRIC(FullGcCollectionTime, MetricsHistogram, 15, 0, 60'000) \
METRIC(YoungGcThroughput, MetricsHistogram, 15, 0, 10'000) \
METRIC(FullGcThroughput, MetricsHistogram, 15, 0, 10'000) \
METRIC(YoungGcTracingThroughput, MetricsHistogram, 15, 0, 10'000) \
METRIC(FullGcTracingThroughput, MetricsHistogram, 15, 0, 10'000) \
METRIC(GcWorldStopTime, MetricsCounter) \
METRIC(GcWorldStopCount, MetricsCounter) \
METRIC(YoungGcScannedBytes, MetricsCounter) \
METRIC(YoungGcFreedBytes, MetricsCounter) \
METRIC(YoungGcDuration, MetricsCounter) \
METRIC(FullGcScannedBytes, MetricsCounter) \
METRIC(FullGcFreedBytes, MetricsCounter) \
METRIC(FullGcDuration, MetricsCounter)
// Increasing counter metrics, reported as Value Metrics in delta increments.
#define ART_VALUE_METRICS(METRIC) \
METRIC(GcWorldStopTimeDelta, MetricsDeltaCounter) \
METRIC(GcWorldStopCountDelta, MetricsDeltaCounter) \
METRIC(YoungGcScannedBytesDelta, MetricsDeltaCounter) \
METRIC(YoungGcFreedBytesDelta, MetricsDeltaCounter) \
METRIC(YoungGcDurationDelta, MetricsDeltaCounter) \
METRIC(FullGcScannedBytesDelta, MetricsDeltaCounter) \
METRIC(FullGcFreedBytesDelta, MetricsDeltaCounter) \
METRIC(FullGcDurationDelta, MetricsDeltaCounter) \
METRIC(JitMethodCompileTotalTimeDelta, MetricsDeltaCounter) \
METRIC(JitMethodCompileCountDelta, MetricsDeltaCounter) \
METRIC(ClassVerificationTotalTimeDelta, MetricsDeltaCounter) \
METRIC(ClassVerificationCountDelta, MetricsDeltaCounter) \
METRIC(ClassLoadingTotalTimeDelta, MetricsDeltaCounter) \
METRIC(TotalBytesAllocatedDelta, MetricsDeltaCounter) \
METRIC(TotalGcCollectionTimeDelta, MetricsDeltaCounter) \
METRIC(YoungGcCountDelta, MetricsDeltaCounter) \
METRIC(FullGcCountDelta, MetricsDeltaCounter)
#define ART_METRICS(METRIC) \
ART_EVENT_METRICS(METRIC) \
ART_VALUE_METRICS(METRIC)
// A lot of the metrics implementation code is generated by passing one-off macros into ART_COUNTERS
// and ART_HISTOGRAMS. This means metrics.h and metrics.cc are very #define-heavy, which can be
// challenging to read. The alternative was to require a lot of boilerplate code for each new metric
// added, all of which would need to be rewritten if the metrics implementation changed. Using
// macros lets us add new metrics by adding a single line to either ART_COUNTERS or ART_HISTOGRAMS,
// and modifying the implementation only requires changing the implementation once, instead of once
// per metric.
namespace art {
class Runtime;
struct RuntimeArgumentMap;
namespace metrics {
/**
* An enumeration of all ART counters and histograms.
*/
enum class DatumId {
#define METRIC(name, type, ...) k##name,
ART_METRICS(METRIC)
#undef METRIC
};
// Names come from PackageManagerServiceCompilerMapping.java
#define REASON_NAME_LIST(V) \
V(kError, "error") \
V(kUnknown, "unknown") \
V(kFirstBoot, "first-boot") \
V(kBootAfterOTA, "boot-after-ota") \
V(kPostBoot, "post-boot") \
V(kInstall, "install") \
V(kInstallFast, "install-fast") \
V(kInstallBulk, "install-bulk") \
V(kInstallBulkSecondary, "install-bulk-secondary") \
V(kInstallBulkDowngraded, "install-bulk-downgraded") \
V(kInstallBulkSecondaryDowngraded, "install-bulk-secondary-downgraded") \
V(kBgDexopt, "bg-dexopt") \
V(kABOTA, "ab-ota") \
V(kInactive, "inactive") \
V(kShared, "shared") \
V(kInstallWithDexMetadata, "install-with-dex-metadata") \
V(kPrebuilt, "prebuilt") \
V(kCmdLine, "cmdline") \
V(kVdex, "vdex")
// We log compilation reasons as part of the metadata we report. Since elsewhere compilation reasons
// are specified as a string, we define them as an enum here which indicates the reasons that we
// support.
enum class CompilationReason {
#define REASON(kind, name) kind,
REASON_NAME_LIST(REASON)
#undef REASON
};
#define REASON_NAME(kind, kind_name) \
case CompilationReason::kind: return kind_name;
#define REASON_FROM_NAME(kind, kind_name) \
if (name == kind_name) { return CompilationReason::kind; }
constexpr const char* CompilationReasonName(CompilationReason reason) {
switch (reason) {
REASON_NAME_LIST(REASON_NAME)
}
}
constexpr CompilationReason CompilationReasonFromName(std::string_view name) {
REASON_NAME_LIST(REASON_FROM_NAME)
return CompilationReason::kError;
}
#undef REASON_NAME
#undef ReasonFromName
#define COMPILER_FILTER_REPORTING_LIST(V) \
V(kError, "error") /* Error (invalid value) condition */ \
V(kUnknown, "unknown") /* Unknown (not set) condition */ \
V(kAssumeVerified, "assume-verified") /* Standard compiler filters */ \
V(kExtract, "extract") \
V(kVerify, "verify") \
V(kSpaceProfile, "space-profile") \
V(kSpace, "space") \
V(kSpeedProfile, "speed-profile") \
V(kSpeed, "speed") \
V(kEverythingProfile, "everything-profile") \
V(kEverything, "everything") \
V(kRunFromApk, "run-from-apk") /* Augmented compiler filters as produces by OatFileAssistant#GetOptimizationStatus */ \
V(kRunFromApkFallback, "run-from-apk-fallback")
// Augmented compiler filter enum, used in the reporting infra.
enum class CompilerFilterReporting {
#define FILTER(kind, name) kind,
COMPILER_FILTER_REPORTING_LIST(FILTER)
#undef FILTER
};
#define FILTER_NAME(kind, kind_name) \
case CompilerFilterReporting::kind: return kind_name;
#define FILTER_FROM_NAME(kind, kind_name) \
if (name == kind_name) { return CompilerFilterReporting::kind; }
constexpr const char* CompilerFilterReportingName(CompilerFilterReporting filter) {
switch (filter) {
COMPILER_FILTER_REPORTING_LIST(FILTER_NAME)
}
}
constexpr CompilerFilterReporting CompilerFilterReportingFromName(std::string_view name) {
COMPILER_FILTER_REPORTING_LIST(FILTER_FROM_NAME)
return CompilerFilterReporting::kError;
}
#undef FILTER_NAME
#undef FILTER_FROM_NAME
// SessionData contains metadata about a metrics session (basically the lifetime of an ART process).
// This information should not change for the lifetime of the session.
struct SessionData {
static SessionData CreateDefault();
static constexpr int64_t kInvalidSessionId = -1;
static constexpr int32_t kInvalidUserId = -1;
int64_t session_id;
int32_t uid;
CompilationReason compilation_reason;
CompilerFilterReporting compiler_filter;
};
// MetricsBackends are used by a metrics reporter to write metrics to some external location. For
// example, a backend might write to logcat, or to a file, or to statsd.
class MetricsBackend {
public:
virtual ~MetricsBackend() {}
// Begins an ART metrics session.
//
// This is called by the metrics reporter when the runtime is starting up. The session_data
// includes a session id which is used to correlate any metric reports with the same instance of
// the ART runtime. Additionally, session_data includes useful metadata such as the package name
// for this process.
//
// It may also be called whenever there is an update to the session metadata (e.g. optimization
// state).
virtual void BeginOrUpdateSession(const SessionData& session_data) = 0;
protected:
// Called by the metrics reporter to indicate that a new metrics report is starting.
virtual void BeginReport(uint64_t timestamp_since_start_ms) = 0;
// Called by the metrics reporter to give the current value of the counter with id counter_type.
//
// This will be called multiple times for each counter based on when the metrics reporter chooses
// to report metrics. For example, the metrics reporter may call this at shutdown or every N
// minutes. Counters are not reset in between invocations, so the value should represent the
// total count at the point this method is called.
virtual void ReportCounter(DatumId counter_type, uint64_t value) = 0;
// Called by the metrics reporter to report a histogram.
//
// This is called similarly to ReportCounter, but instead of receiving a single value, it receives
// a vector of the value in each bucket. Additionally, the function receives the lower and upper
// limit for the histogram. Note that these limits are the allowed limits, and not the observed
// range. Values below the lower limit will be counted in the first bucket, and values above the
// upper limit will be counted in the last bucket. Backends should store the minimum and maximum
// values to allow comparisons across module versions, since the minimum and maximum values may
// change over time.
virtual void ReportHistogram(DatumId histogram_type,
int64_t minimum_value,
int64_t maximum_value,
const std::vector<uint32_t>& buckets) = 0;
// Called by the metrics reporter to indicate that the current metrics report is complete.
virtual void EndReport() = 0;
template <DatumId counter_type, typename T>
friend class MetricsCounter;
template <DatumId counter_type, typename T>
friend class MetricsDeltaCounter;
template <DatumId histogram_type, size_t num_buckets, int64_t low_value, int64_t high_value>
friend class MetricsHistogram;
template <DatumId datum_id, typename T, const T& AccumulatorFunction(const T&, const T&)>
friend class MetricsAccumulator;
template <DatumId datum_id, typename T>
friend class MetricsAverage;
friend class ArtMetrics;
};
template <typename value_t>
class MetricsBase {
public:
virtual void Add(value_t value) = 0;
virtual ~MetricsBase() { }
};
template <DatumId counter_type, typename T = uint64_t>
class MetricsCounter : public MetricsBase<T> {
public:
using value_t = T;
explicit constexpr MetricsCounter(uint64_t value = 0) : value_{value} {
// Ensure we do not have any unnecessary data in this class.
// Adding intptr_t to accommodate vtable, and rounding up to incorporate
// padding.
static_assert(RoundUp(sizeof(*this), sizeof(uint64_t))
== RoundUp(sizeof(intptr_t) + sizeof(value_t), sizeof(uint64_t)));
}
void AddOne() { Add(1u); }
void Add(value_t value) { value_.fetch_add(value, std::memory_order::memory_order_relaxed); }
void Report(const std::vector<MetricsBackend*>& backends) const {
for (MetricsBackend* backend : backends) {
backend->ReportCounter(counter_type, Value());
}
}
protected:
void Reset() { value_ = 0; }
value_t Value() const { return value_.load(std::memory_order::memory_order_relaxed); }
private:
std::atomic<value_t> value_;
static_assert(std::atomic<value_t>::is_always_lock_free);
friend class ArtMetrics;
};
template <DatumId datum_id, typename T = uint64_t>
class MetricsAverage final : public MetricsCounter<datum_id, T> {
public:
using value_t = T;
using count_t = T;
explicit constexpr MetricsAverage(uint64_t value = 0, uint64_t count = 0) :
MetricsCounter<datum_id, value_t>(value), count_(count) {
// Ensure we do not have any unnecessary data in this class.
// Adding intptr_t to accommodate vtable, and rounding up to incorporate
// padding.
static_assert(RoundUp(sizeof(*this), sizeof(uint64_t))
== RoundUp(sizeof(intptr_t) + sizeof(value_t) + sizeof(count_t),
sizeof(uint64_t)));
}
// We use release memory-order here and then acquire in Report() to ensure
// that at least the non-racy reads/writes to this metric are consistent. This
// doesn't guarantee the atomicity of the change to both fields, but that
// may not be desired because:
// 1. The metric eventually becomes consistent.
// 2. For sufficiently large count_, a few data points which are off shouldn't
// make a huge difference to the reporter.
void Add(value_t value) {
MetricsCounter<datum_id, value_t>::Add(value);
count_.fetch_add(1, std::memory_order::memory_order_release);
}
void Report(const std::vector<MetricsBackend*>& backends) const {
count_t value = MetricsCounter<datum_id, value_t>::Value();
count_t count = count_.load(std::memory_order::memory_order_acquire);
// Avoid divide-by-0.
count_t average_value = count != 0 ? value / count : 0;
for (MetricsBackend* backend : backends) {
backend->ReportCounter(datum_id, average_value);
}
}
protected:
void Reset() {
count_ = 0;
MetricsCounter<datum_id, value_t>::Reset();
}
private:
std::atomic<count_t> count_;
static_assert(std::atomic<count_t>::is_always_lock_free);
friend class ArtMetrics;
};
template <DatumId datum_id, typename T = uint64_t>
class MetricsDeltaCounter : public MetricsBase<T> {
public:
using value_t = T;
explicit constexpr MetricsDeltaCounter(uint64_t value = 0) : value_{value} {
// Ensure we do not have any unnecessary data in this class.
// Adding intptr_t to accommodate vtable, and rounding up to incorporate
// padding.
static_assert(RoundUp(sizeof(*this), sizeof(uint64_t)) ==
RoundUp(sizeof(intptr_t) + sizeof(value_t), sizeof(uint64_t)));
}
void Add(value_t value) override {
value_.fetch_add(value, std::memory_order::memory_order_relaxed);
}
void AddOne() { Add(1u); }
void ReportAndReset(const std::vector<MetricsBackend*>& backends) {
value_t value = value_.exchange(0, std::memory_order::memory_order_relaxed);
for (MetricsBackend* backend : backends) {
backend->ReportCounter(datum_id, value);
}
}
void Reset() { value_ = 0; }
private:
std::atomic<value_t> value_;
static_assert(std::atomic<value_t>::is_always_lock_free);
friend class ArtMetrics;
};
template <DatumId histogram_type_,
size_t num_buckets_,
int64_t minimum_value_,
int64_t maximum_value_>
class MetricsHistogram final : public MetricsBase<int64_t> {
static_assert(num_buckets_ >= 1);
static_assert(minimum_value_ < maximum_value_);
public:
using value_t = uint32_t;
constexpr MetricsHistogram() : buckets_{} {
// Ensure we do not have any unnecessary data in this class.
// Adding intptr_t to accommodate vtable, and rounding up to incorporate
// padding.
static_assert(RoundUp(sizeof(*this), sizeof(uint64_t))
== RoundUp(sizeof(intptr_t) + sizeof(value_t) * num_buckets_, sizeof(uint64_t)));
}
void Add(int64_t value) {
const size_t i = FindBucketId(value);
buckets_[i].fetch_add(1u, std::memory_order::memory_order_relaxed);
}
void Report(const std::vector<MetricsBackend*>& backends) const {
for (MetricsBackend* backend : backends) {
backend->ReportHistogram(histogram_type_, minimum_value_, maximum_value_, GetBuckets());
}
}
protected:
void Reset() {
for (auto& bucket : buckets_) {
bucket = 0;
}
}
private:
inline constexpr size_t FindBucketId(int64_t value) const {
// Values below the minimum are clamped into the first bucket.
if (value <= minimum_value_) {
return 0;
}
// Values above the maximum are clamped into the last bucket.
if (value >= maximum_value_) {
return num_buckets_ - 1;
}
// Otherise, linearly interpolate the value into the right bucket
constexpr size_t bucket_width = maximum_value_ - minimum_value_;
return static_cast<size_t>(value - minimum_value_) * num_buckets_ / bucket_width;
}
std::vector<value_t> GetBuckets() const {
// The loads from buckets_ will all be memory_order_seq_cst, which means they will be acquire
// loads. This is a stricter memory order than is needed, but this should not be a
// performance-critical section of code.
return std::vector<value_t>{buckets_.begin(), buckets_.end()};
}
std::array<std::atomic<value_t>, num_buckets_> buckets_;
static_assert(std::atomic<value_t>::is_always_lock_free);
friend class ArtMetrics;
};
template <DatumId datum_id, typename T, const T& AccumulatorFunction(const T&, const T&)>
class MetricsAccumulator final : MetricsBase<T> {
public:
explicit constexpr MetricsAccumulator(T value = 0) : value_{value} {
// Ensure we do not have any unnecessary data in this class.
// Adding intptr_t to accommodate vtable, and rounding up to incorporate
// padding.
static_assert(RoundUp(sizeof(*this), sizeof(uint64_t)) ==
RoundUp(sizeof(intptr_t) + sizeof(T), sizeof(uint64_t)));
}
void Add(T value) {
T current = value_.load(std::memory_order::memory_order_relaxed);
T new_value;
do {
new_value = AccumulatorFunction(current, value);
// If the value didn't change, don't bother storing it.
if (current == new_value) {
break;
}
} while (!value_.compare_exchange_weak(
current, new_value, std::memory_order::memory_order_relaxed));
}
// Report the metric as a counter, since this has only a single value.
void Report(MetricsBackend* backend) const {
backend->ReportCounter(datum_id, static_cast<uint64_t>(Value()));
}
protected:
void Reset() {
value_ = 0;
}
private:
T Value() const { return value_.load(std::memory_order::memory_order_relaxed); }
std::atomic<T> value_;
friend class ArtMetrics;
};
// Base class for formatting metrics into different formats
// (human-readable text, JSON, etc.)
class MetricsFormatter {
public:
virtual ~MetricsFormatter() = default;
virtual void FormatBeginReport(uint64_t timestamp_since_start_ms,
const std::optional<SessionData>& session_data) = 0;
virtual void FormatEndReport() = 0;
virtual void FormatReportCounter(DatumId counter_type, uint64_t value) = 0;
virtual void FormatReportHistogram(DatumId histogram_type,
int64_t low_value,
int64_t high_value,
const std::vector<uint32_t>& buckets) = 0;
virtual std::string GetAndResetBuffer() = 0;
protected:
const std::string version = "1.0";
};
// Formatter outputting metrics in human-readable text format
class TextFormatter : public MetricsFormatter {
public:
TextFormatter() = default;
void FormatBeginReport(uint64_t timestamp_millis,
const std::optional<SessionData>& session_data) override;
void FormatReportCounter(DatumId counter_type, uint64_t value) override;
void FormatReportHistogram(DatumId histogram_type,
int64_t low_value,
int64_t high_value,
const std::vector<uint32_t>& buckets) override;
void FormatEndReport() override;
std::string GetAndResetBuffer() override;
private:
std::ostringstream os_;
};
// Formatter outputting metrics in XML format
class XmlFormatter : public MetricsFormatter {
public:
XmlFormatter() = default;
void FormatBeginReport(uint64_t timestamp_millis,
const std::optional<SessionData>& session_data) override;
void FormatReportCounter(DatumId counter_type, uint64_t value) override;
void FormatReportHistogram(DatumId histogram_type,
int64_t low_value,
int64_t high_value,
const std::vector<uint32_t>& buckets) override;
void FormatEndReport() override;
std::string GetAndResetBuffer() override;
private:
tinyxml2::XMLDocument document_;
};
// A backend that writes metrics to a string.
// The format of the metrics' output is delegated
// to the MetricsFormatter class.
//
// This is used as a base for LogBackend and FileBackend.
class StringBackend : public MetricsBackend {
public:
explicit StringBackend(std::unique_ptr<MetricsFormatter> formatter);
void BeginOrUpdateSession(const SessionData& session_data) override;
void BeginReport(uint64_t timestamp_millis) override;
void ReportCounter(DatumId counter_type, uint64_t value) override;
void ReportHistogram(DatumId histogram_type,
int64_t low_value,
int64_t high_value,
const std::vector<uint32_t>& buckets) override;
void EndReport() override;
std::string GetAndResetBuffer();
private:
std::unique_ptr<MetricsFormatter> formatter_;
std::optional<SessionData> session_data_;
};
// A backend that writes metrics in human-readable format to the log (i.e. logcat).
class LogBackend : public StringBackend {
public:
explicit LogBackend(std::unique_ptr<MetricsFormatter> formatter,
android::base::LogSeverity level);
void BeginReport(uint64_t timestamp_millis) override;
void EndReport() override;
private:
android::base::LogSeverity level_;
};
// A backend that writes metrics to a file.
class FileBackend : public StringBackend {
public:
explicit FileBackend(std::unique_ptr<MetricsFormatter> formatter,
const std::string& filename);
void BeginReport(uint64_t timestamp_millis) override;
void EndReport() override;
private:
std::string filename_;
};
/**
* AutoTimer simplifies time-based metrics collection.
*
* Several modes are supported. In the default case, the timer starts immediately and stops when it
* goes out of scope. Example:
*
* {
* AutoTimer timer{metric};
* DoStuff();
* // timer stops and updates metric automatically here.
* }
*
* You can also stop the timer early:
*
* timer.Stop();
*
* Finally, you can choose to not automatically start the timer at the beginning by passing false as
* the second argument to the constructor:
*
* AutoTimer timer{metric, false};
* DoNotTimeThis();
* timer.Start();
* TimeThis();
*
* Manually started timers will still automatically stop in the destructor, but they can be manually
* stopped as well.
*
* Note that AutoTimer makes calls to MicroTime(), so this may not be suitable on critical paths, or
* in cases where the counter needs to be started and stopped on different threads.
*/
template <typename Metric>
class AutoTimer {
public:
explicit AutoTimer(Metric* metric, bool autostart = true)
: running_{false}, start_time_microseconds_{}, metric_{metric} {
if (autostart) {
Start();
}
}
~AutoTimer() {
if (running_) {
Stop();
}
}
void Start() {
DCHECK(!running_);
running_ = true;
start_time_microseconds_ = MicroTime();
}
// Stops a running timer. Returns the time elapsed since starting the timer in microseconds.
uint64_t Stop() {
DCHECK(running_);
uint64_t stop_time_microseconds = MicroTime();
running_ = false;
uint64_t elapsed_time = stop_time_microseconds - start_time_microseconds_;
metric_->Add(static_cast<typename Metric::value_t>(elapsed_time));
return elapsed_time;
}
private:
bool running_;
uint64_t start_time_microseconds_;
Metric* metric_;
};
/**
* This struct contains all of the metrics that ART reports.
*/
class ArtMetrics {
public:
ArtMetrics();
void ReportAllMetricsAndResetValueMetrics(const std::vector<MetricsBackend*>& backends);
void DumpForSigQuit(std::ostream& os);
// Resets all metrics to their initial value. This is intended to be used after forking from the
// zygote so we don't attribute parent values to the child process.
void Reset();
#define METRIC_ACCESSORS(name, Kind, ...) \
Kind<DatumId::k##name, ##__VA_ARGS__>* name() { return &name##_; } \
const Kind<DatumId::k##name, ##__VA_ARGS__>* name() const { return &name##_; }
ART_METRICS(METRIC_ACCESSORS)
#undef METRIC_ACCESSORS
private:
uint64_t beginning_timestamp_;
#define METRIC(name, Kind, ...) Kind<DatumId::k##name, ##__VA_ARGS__> name##_;
ART_METRICS(METRIC)
#undef METRIC
};
// Returns a human readable name for the given DatumId.
std::string DatumName(DatumId datum);
// We also log the thread type for metrics so we can distinguish things that block the UI thread
// from things that happen on the background thread. This enum keeps track of what thread types we
// support.
enum class ThreadType {
kMain,
kBackground,
};
} // namespace metrics
} // namespace art
#pragma clang diagnostic pop // -Wconversion
#endif // ART_LIBARTBASE_BASE_METRICS_METRICS_H_