263 lines
13 KiB
C
263 lines
13 KiB
C
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// Copyright 2016 The Chromium Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file.
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#ifndef BASE_METRICS_HISTOGRAM_FUNCTIONS_H_
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#define BASE_METRICS_HISTOGRAM_FUNCTIONS_H_
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#include <type_traits>
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#include "base/metrics/histogram.h"
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#include "base/metrics/histogram_base.h"
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#include "base/time/time.h"
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// Functions for recording metrics.
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//
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// For best practices on deciding when to emit to a histogram and what form
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// the histogram should take, see
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// https://chromium.googlesource.com/chromium/src.git/+/HEAD/tools/metrics/histograms/README.md
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// Functions for recording UMA histograms. These can be used for cases
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// when the histogram name is generated at runtime. The functionality is
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// equivalent to macros defined in histogram_macros.h but allowing non-constant
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// histogram names. These functions are slower compared to their macro
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// equivalent because the histogram objects are not cached between calls.
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// So, these shouldn't be used in performance critical code.
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//
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// Every function is duplicated to take both std::string and char* for the
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// name. This avoids ctor/dtor instantiation for constant strigs to std::string
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// which makes the call be larger than caching macros (which do accept char*)
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// in those cases.
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namespace base {
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// For histograms with linear buckets.
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// Used for capturing integer data with a linear bucketing scheme. This can be
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// used when you want the exact value of some small numeric count, with a max of
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// 100 or less. If you need to capture a range of greater than 100, we recommend
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// the use of the COUNT histograms below.
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// Sample usage:
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// base::UmaHistogramExactLinear("Histogram.Linear", some_value, 10);
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BASE_EXPORT void UmaHistogramExactLinear(const std::string& name,
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int sample,
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int value_max);
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BASE_EXPORT void UmaHistogramExactLinear(const char* name,
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int sample,
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int value_max);
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// For adding a sample to an enumerated histogram.
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// Sample usage:
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// // These values are persisted to logs. Entries should not be renumbered and
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// // numeric values should never be reused.
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// enum class NewTabPageAction {
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// kUseOmnibox = 0,
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// kClickTitle = 1,
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// // kUseSearchbox = 2, // no longer used, combined into omnibox
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// kOpenBookmark = 3,
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// kMaxValue = kOpenBookmark,
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// };
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// base::UmaHistogramEnumeration("My.Enumeration",
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// NewTabPageAction::kUseSearchbox);
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template <typename T>
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void UmaHistogramEnumeration(const std::string& name, T sample) {
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static_assert(std::is_enum<T>::value, "T is not an enum.");
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// This also ensures that an enumeration that doesn't define kMaxValue fails
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// with a semi-useful error ("no member named 'kMaxValue' in ...").
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static_assert(static_cast<uintmax_t>(T::kMaxValue) <=
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static_cast<uintmax_t>(INT_MAX) - 1,
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"Enumeration's kMaxValue is out of range of INT_MAX!");
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DCHECK_LE(static_cast<uintmax_t>(sample),
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static_cast<uintmax_t>(T::kMaxValue));
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return UmaHistogramExactLinear(name, static_cast<int>(sample),
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static_cast<int>(T::kMaxValue) + 1);
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}
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template <typename T>
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void UmaHistogramEnumeration(const char* name, T sample) {
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static_assert(std::is_enum<T>::value, "T is not an enum.");
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// This also ensures that an enumeration that doesn't define kMaxValue fails
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// with a semi-useful error ("no member named 'kMaxValue' in ...").
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static_assert(static_cast<uintmax_t>(T::kMaxValue) <=
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static_cast<uintmax_t>(INT_MAX) - 1,
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"Enumeration's kMaxValue is out of range of INT_MAX!");
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DCHECK_LE(static_cast<uintmax_t>(sample),
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static_cast<uintmax_t>(T::kMaxValue));
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return UmaHistogramExactLinear(name, static_cast<int>(sample),
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static_cast<int>(T::kMaxValue) + 1);
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}
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// Some legacy histograms may manually specify a max value, with a kCount,
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// COUNT, kMaxValue, or MAX_VALUE sentinel like so:
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// // These values are persisted to logs. Entries should not be renumbered and
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// // numeric values should never be reused.
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// enum class NewTabPageAction {
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// kUseOmnibox = 0,
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// kClickTitle = 1,
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// // kUseSearchbox = 2, // no longer used, combined into omnibox
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// kOpenBookmark = 3,
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// kMaxValue,
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// };
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// base::UmaHistogramEnumeration("My.Enumeration",
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// NewTabPageAction::kUseSearchbox,
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// kMaxValue);
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// Note: The value in |sample| must be strictly less than |kMaxValue|. This is
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// otherwise functionally equivalent to the above.
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template <typename T>
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void UmaHistogramEnumeration(const std::string& name, T sample, T enum_size) {
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static_assert(std::is_enum<T>::value, "T is not an enum.");
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DCHECK_LE(static_cast<uintmax_t>(enum_size), static_cast<uintmax_t>(INT_MAX));
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DCHECK_LT(static_cast<uintmax_t>(sample), static_cast<uintmax_t>(enum_size));
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return UmaHistogramExactLinear(name, static_cast<int>(sample),
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static_cast<int>(enum_size));
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}
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template <typename T>
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void UmaHistogramEnumeration(const char* name, T sample, T enum_size) {
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static_assert(std::is_enum<T>::value, "T is not an enum.");
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DCHECK_LE(static_cast<uintmax_t>(enum_size), static_cast<uintmax_t>(INT_MAX));
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DCHECK_LT(static_cast<uintmax_t>(sample), static_cast<uintmax_t>(enum_size));
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return UmaHistogramExactLinear(name, static_cast<int>(sample),
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static_cast<int>(enum_size));
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}
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// For adding boolean sample to histogram.
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// Sample usage:
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// base::UmaHistogramBoolean("My.Boolean", true)
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BASE_EXPORT void UmaHistogramBoolean(const std::string& name, bool sample);
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BASE_EXPORT void UmaHistogramBoolean(const char* name, bool sample);
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// For adding histogram with percent.
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// Percents are integer between 1 and 100.
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// Sample usage:
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// base::UmaHistogramPercentage("My.Percent", 69)
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BASE_EXPORT void UmaHistogramPercentage(const std::string& name, int percent);
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BASE_EXPORT void UmaHistogramPercentage(const char* name, int percent);
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// For adding counts histogram.
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// Sample usage:
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// base::UmaHistogramCustomCounts("My.Counts", some_value, 1, 600, 30)
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BASE_EXPORT void UmaHistogramCustomCounts(const std::string& name,
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int sample,
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int min,
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int max,
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int buckets);
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BASE_EXPORT void UmaHistogramCustomCounts(const char* name,
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int sample,
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int min,
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int max,
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int buckets);
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// Counts specialization for maximum counts 100, 1000, 10k, 100k, 1M and 10M.
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BASE_EXPORT void UmaHistogramCounts100(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramCounts100(const char* name, int sample);
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BASE_EXPORT void UmaHistogramCounts1000(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramCounts1000(const char* name, int sample);
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BASE_EXPORT void UmaHistogramCounts10000(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramCounts10000(const char* name, int sample);
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BASE_EXPORT void UmaHistogramCounts100000(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramCounts100000(const char* name, int sample);
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BASE_EXPORT void UmaHistogramCounts1M(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramCounts1M(const char* name, int sample);
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BASE_EXPORT void UmaHistogramCounts10M(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramCounts10M(const char* name, int sample);
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// For histograms storing times. It uses milliseconds granularity.
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BASE_EXPORT void UmaHistogramCustomTimes(const std::string& name,
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TimeDelta sample,
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TimeDelta min,
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TimeDelta max,
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int buckets);
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BASE_EXPORT void UmaHistogramCustomTimes(const char* name,
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TimeDelta sample,
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TimeDelta min,
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TimeDelta max,
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int buckets);
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// For short timings from 1 ms up to 10 seconds (50 buckets).
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BASE_EXPORT void UmaHistogramTimes(const std::string& name, TimeDelta sample);
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BASE_EXPORT void UmaHistogramTimes(const char* name, TimeDelta sample);
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// For medium timings up to 3 minutes (50 buckets).
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BASE_EXPORT void UmaHistogramMediumTimes(const std::string& name,
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TimeDelta sample);
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BASE_EXPORT void UmaHistogramMediumTimes(const char* name, TimeDelta sample);
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// For time intervals up to 1 hr (50 buckets).
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BASE_EXPORT void UmaHistogramLongTimes(const std::string& name,
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TimeDelta sample);
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BASE_EXPORT void UmaHistogramLongTimes(const char* name, TimeDelta sample);
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// For time intervals up to 1 hr (100 buckets).
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BASE_EXPORT void UmaHistogramLongTimes100(const std::string& name,
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TimeDelta sample);
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BASE_EXPORT void UmaHistogramLongTimes100(const char* name, TimeDelta sample);
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// For histograms storing times with microseconds granularity.
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BASE_EXPORT void UmaHistogramCustomMicrosecondsTimes(const std::string& name,
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TimeDelta sample,
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TimeDelta min,
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TimeDelta max,
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int buckets);
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BASE_EXPORT void UmaHistogramCustomMicrosecondsTimes(const char* name,
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TimeDelta sample,
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TimeDelta min,
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TimeDelta max,
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int buckets);
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// For microseconds timings from 1 microsecond up to 10 seconds (50 buckets).
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BASE_EXPORT void UmaHistogramMicrosecondsTimes(const std::string& name,
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TimeDelta sample);
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BASE_EXPORT void UmaHistogramMicrosecondsTimes(const char* name,
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TimeDelta sample);
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// For microseconds timings from 1 microsecond up to 10 ms (50 buckets).
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// TODO(crbug.com/983261) Remove this method after moving to
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// UmaHistogramMicrosecondsTimes.
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BASE_EXPORT void UmaHistogramMicrosecondsTimesUnderTenMilliseconds(
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const std::string& name,
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TimeDelta sample);
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BASE_EXPORT void UmaHistogramMicrosecondsTimesUnderTenMilliseconds(
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const char* name,
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TimeDelta sample);
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// For recording memory related histograms.
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// Used to measure common KB-granularity memory stats. Range is up to 500M.
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BASE_EXPORT void UmaHistogramMemoryKB(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramMemoryKB(const char* name, int sample);
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// Used to measure common MB-granularity memory stats. Range is up to ~1G.
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BASE_EXPORT void UmaHistogramMemoryMB(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramMemoryMB(const char* name, int sample);
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// Used to measure common MB-granularity memory stats. Range is up to ~64G.
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BASE_EXPORT void UmaHistogramMemoryLargeMB(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramMemoryLargeMB(const char* name, int sample);
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// For recording sparse histograms.
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// The |sample| can be a negative or non-negative number.
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//
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// Sparse histograms are well suited for recording counts of exact sample values
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// that are sparsely distributed over a relatively large range, in cases where
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// ultra-fast performance is not critical. For instance, Sqlite.Version.* are
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// sparse because for any given database, there's going to be exactly one
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// version logged.
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//
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// Performance:
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// ------------
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// Sparse histograms are typically more memory-efficient but less time-efficient
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// than other histograms. Essentially, they sparse histograms use a map rather
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// than a vector for their backing storage; they also require lock acquisition
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// to increment a sample, whereas other histogram do not. Hence, each increment
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// operation is a bit slower than for other histograms. But, if the data is
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// sparse, then they use less memory client-side, because they allocate buckets
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// on demand rather than preallocating.
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//
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// Data size:
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// ----------
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// Note that server-side, we still need to load all buckets, across all users,
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// at once. Thus, please avoid exploding such histograms, i.e. uploading many
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// many distinct values to the server (across all users). Concretely, keep the
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// number of distinct values <= 100 ideally, definitely <= 1000. If you have no
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// guarantees on the range of your data, use clamping, e.g.:
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// UmaHistogramSparse("MyHistogram", ClampToRange(value, 0, 200));
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BASE_EXPORT void UmaHistogramSparse(const std::string& name, int sample);
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BASE_EXPORT void UmaHistogramSparse(const char* name, int sample);
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} // namespace base
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#endif // BASE_METRICS_HISTOGRAM_FUNCTIONS_H_
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