Nagram/TMessagesProj/jni/voip/webrtc/absl/container/internal/hashtablez_sampler.cc
2022-03-11 19:49:54 +03:00

236 lines
7.8 KiB
C++

// Copyright 2018 The Abseil Authors.
//
// 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
//
// https://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.
#include "absl/container/internal/hashtablez_sampler.h"
#include <atomic>
#include <cassert>
#include <cmath>
#include <functional>
#include <limits>
#include "absl/base/attributes.h"
#include "absl/container/internal/have_sse.h"
#include "absl/debugging/stacktrace.h"
#include "absl/memory/memory.h"
#include "absl/profiling/internal/exponential_biased.h"
#include "absl/profiling/internal/sample_recorder.h"
#include "absl/synchronization/mutex.h"
#include "absl/utility/utility.h"
namespace absl {
ABSL_NAMESPACE_BEGIN
namespace container_internal {
constexpr int HashtablezInfo::kMaxStackDepth;
namespace {
ABSL_CONST_INIT std::atomic<bool> g_hashtablez_enabled{
false
};
ABSL_CONST_INIT std::atomic<int32_t> g_hashtablez_sample_parameter{1 << 10};
std::atomic<HashtablezConfigListener> g_hashtablez_config_listener{nullptr};
#if defined(ABSL_INTERNAL_HASHTABLEZ_SAMPLE)
ABSL_PER_THREAD_TLS_KEYWORD absl::profiling_internal::ExponentialBiased
g_exponential_biased_generator;
#endif
void TriggerHashtablezConfigListener() {
auto* listener = g_hashtablez_config_listener.load(std::memory_order_acquire);
if (listener != nullptr) listener();
}
} // namespace
#if defined(ABSL_INTERNAL_HASHTABLEZ_SAMPLE)
ABSL_PER_THREAD_TLS_KEYWORD SamplingState global_next_sample = {0, 0};
#endif // defined(ABSL_INTERNAL_HASHTABLEZ_SAMPLE)
HashtablezSampler& GlobalHashtablezSampler() {
static auto* sampler = new HashtablezSampler();
return *sampler;
}
HashtablezInfo::HashtablezInfo() = default;
HashtablezInfo::~HashtablezInfo() = default;
void HashtablezInfo::PrepareForSampling(int64_t stride,
size_t inline_element_size_value) {
capacity.store(0, std::memory_order_relaxed);
size.store(0, std::memory_order_relaxed);
num_erases.store(0, std::memory_order_relaxed);
num_rehashes.store(0, std::memory_order_relaxed);
max_probe_length.store(0, std::memory_order_relaxed);
total_probe_length.store(0, std::memory_order_relaxed);
hashes_bitwise_or.store(0, std::memory_order_relaxed);
hashes_bitwise_and.store(~size_t{}, std::memory_order_relaxed);
hashes_bitwise_xor.store(0, std::memory_order_relaxed);
max_reserve.store(0, std::memory_order_relaxed);
create_time = absl::Now();
weight = stride;
// The inliner makes hardcoded skip_count difficult (especially when combined
// with LTO). We use the ability to exclude stacks by regex when encoding
// instead.
depth = absl::GetStackTrace(stack, HashtablezInfo::kMaxStackDepth,
/* skip_count= */ 0);
inline_element_size = inline_element_size_value;
}
static bool ShouldForceSampling() {
enum ForceState {
kDontForce,
kForce,
kUninitialized
};
ABSL_CONST_INIT static std::atomic<ForceState> global_state{
kUninitialized};
ForceState state = global_state.load(std::memory_order_relaxed);
if (ABSL_PREDICT_TRUE(state == kDontForce)) return false;
if (state == kUninitialized) {
state = ABSL_INTERNAL_C_SYMBOL(AbslContainerInternalSampleEverything)()
? kForce
: kDontForce;
global_state.store(state, std::memory_order_relaxed);
}
return state == kForce;
}
HashtablezInfo* SampleSlow(SamplingState& next_sample,
size_t inline_element_size) {
if (ABSL_PREDICT_FALSE(ShouldForceSampling())) {
next_sample.next_sample = 1;
const int64_t old_stride = exchange(next_sample.sample_stride, 1);
HashtablezInfo* result =
GlobalHashtablezSampler().Register(old_stride, inline_element_size);
return result;
}
#if !defined(ABSL_INTERNAL_HASHTABLEZ_SAMPLE)
next_sample = {
std::numeric_limits<int64_t>::max(),
std::numeric_limits<int64_t>::max(),
};
return nullptr;
#else
bool first = next_sample.next_sample < 0;
const int64_t next_stride = g_exponential_biased_generator.GetStride(
g_hashtablez_sample_parameter.load(std::memory_order_relaxed));
next_sample.next_sample = next_stride;
const int64_t old_stride = exchange(next_sample.sample_stride, next_stride);
// Small values of interval are equivalent to just sampling next time.
ABSL_ASSERT(next_stride >= 1);
// g_hashtablez_enabled can be dynamically flipped, we need to set a threshold
// low enough that we will start sampling in a reasonable time, so we just use
// the default sampling rate.
if (!g_hashtablez_enabled.load(std::memory_order_relaxed)) return nullptr;
// We will only be negative on our first count, so we should just retry in
// that case.
if (first) {
if (ABSL_PREDICT_TRUE(--next_sample.next_sample > 0)) return nullptr;
return SampleSlow(next_sample, inline_element_size);
}
return GlobalHashtablezSampler().Register(old_stride, inline_element_size);
#endif
}
void UnsampleSlow(HashtablezInfo* info) {
GlobalHashtablezSampler().Unregister(info);
}
void RecordInsertSlow(HashtablezInfo* info, size_t hash,
size_t distance_from_desired) {
// SwissTables probe in groups of 16, so scale this to count items probes and
// not offset from desired.
size_t probe_length = distance_from_desired;
#if ABSL_INTERNAL_RAW_HASH_SET_HAVE_SSE2
probe_length /= 16;
#else
probe_length /= 8;
#endif
info->hashes_bitwise_and.fetch_and(hash, std::memory_order_relaxed);
info->hashes_bitwise_or.fetch_or(hash, std::memory_order_relaxed);
info->hashes_bitwise_xor.fetch_xor(hash, std::memory_order_relaxed);
info->max_probe_length.store(
std::max(info->max_probe_length.load(std::memory_order_relaxed),
probe_length),
std::memory_order_relaxed);
info->total_probe_length.fetch_add(probe_length, std::memory_order_relaxed);
info->size.fetch_add(1, std::memory_order_relaxed);
}
void SetHashtablezConfigListener(HashtablezConfigListener l) {
g_hashtablez_config_listener.store(l, std::memory_order_release);
}
bool IsHashtablezEnabled() {
return g_hashtablez_enabled.load(std::memory_order_acquire);
}
void SetHashtablezEnabled(bool enabled) {
SetHashtablezEnabledInternal(enabled);
TriggerHashtablezConfigListener();
}
void SetHashtablezEnabledInternal(bool enabled) {
g_hashtablez_enabled.store(enabled, std::memory_order_release);
}
int32_t GetHashtablezSampleParameter() {
return g_hashtablez_sample_parameter.load(std::memory_order_acquire);
}
void SetHashtablezSampleParameter(int32_t rate) {
SetHashtablezSampleParameterInternal(rate);
TriggerHashtablezConfigListener();
}
void SetHashtablezSampleParameterInternal(int32_t rate) {
if (rate > 0) {
g_hashtablez_sample_parameter.store(rate, std::memory_order_release);
} else {
ABSL_RAW_LOG(ERROR, "Invalid hashtablez sample rate: %lld",
static_cast<long long>(rate)); // NOLINT(runtime/int)
}
}
int32_t GetHashtablezMaxSamples() {
return GlobalHashtablezSampler().GetMaxSamples();
}
void SetHashtablezMaxSamples(int32_t max) {
SetHashtablezMaxSamplesInternal(max);
TriggerHashtablezConfigListener();
}
void SetHashtablezMaxSamplesInternal(int32_t max) {
if (max > 0) {
GlobalHashtablezSampler().SetMaxSamples(max);
} else {
ABSL_RAW_LOG(ERROR, "Invalid hashtablez max samples: %lld",
static_cast<long long>(max)); // NOLINT(runtime/int)
}
}
} // namespace container_internal
ABSL_NAMESPACE_END
} // namespace absl