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// Copyright 2015 the V8 project authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "src/profiler/sampling-heap-profiler.h"
#include <stdint.h>
#include <memory>
#include "src/api/api-inl.h"
#include "src/base/ieee754.h"
#include "src/base/utils/random-number-generator.h"
#include "src/execution/frames-inl.h"
#include "src/execution/isolate.h"
#include "src/heap/heap.h"
#include "src/profiler/strings-storage.h"
namespace v8 {
namespace internal {
// We sample with a Poisson process, with constant average sampling interval.
// This follows the exponential probability distribution with parameter
// λ = 1/rate where rate is the average number of bytes between samples.
//
// Let u be a uniformly distributed random number between 0 and 1, then
// next_sample = (- ln u) / λ
intptr_t SamplingHeapProfiler::Observer::GetNextSampleInterval(uint64_t rate) {
if (FLAG_sampling_heap_profiler_suppress_randomness)
return static_cast<intptr_t>(rate);
double u = random_->NextDouble();
double next = (-base::ieee754::log(u)) * rate;
return next < kTaggedSize
? kTaggedSize
: (next > INT_MAX ? INT_MAX : static_cast<intptr_t>(next));
}
// Samples were collected according to a poisson process. Since we have not
// recorded all allocations, we must approximate the shape of the underlying
// space of allocations based on the samples we have collected. Given that
// we sample at rate R, the probability that an allocation of size S will be
// sampled is 1-exp(-S/R). This function uses the above probability to
// approximate the true number of allocations with size *size* given that
// *count* samples were observed.
v8::AllocationProfile::Allocation SamplingHeapProfiler::ScaleSample(
size_t size, unsigned int count) const {
double scale = 1.0 / (1.0 - std::exp(-static_cast<double>(size) / rate_));
// Round count instead of truncating.
return {size, static_cast<unsigned int>(count * scale + 0.5)};
}
SamplingHeapProfiler::SamplingHeapProfiler(
Heap* heap, StringsStorage* names, uint64_t rate, int stack_depth,
v8::HeapProfiler::SamplingFlags flags)
: isolate_(Isolate::FromHeap(heap)),
heap_(heap),
allocation_observer_(heap_, static_cast<intptr_t>(rate), rate, this,
isolate_->random_number_generator()),
names_(names),
profile_root_(nullptr, "(root)", v8::UnboundScript::kNoScriptId, 0,
next_node_id()),
stack_depth_(stack_depth),
rate_(rate),
flags_(flags) {
CHECK_GT(rate_, 0u);
heap_->AddAllocationObserversToAllSpaces(&allocation_observer_,
&allocation_observer_);
}
SamplingHeapProfiler::~SamplingHeapProfiler() {
heap_->RemoveAllocationObserversFromAllSpaces(&allocation_observer_,
&allocation_observer_);
}
void SamplingHeapProfiler::SampleObject(Address soon_object, size_t size) {
DisallowHeapAllocation no_allocation;
HandleScope scope(isolate_);
HeapObject heap_object = HeapObject::FromAddress(soon_object);
Handle<Object> obj(heap_object, isolate_);
// Mark the new block as FreeSpace to make sure the heap is iterable while we
// are taking the sample.
heap_->CreateFillerObjectAt(soon_object, static_cast<int>(size),
ClearRecordedSlots::kNo);
Local<v8::Value> loc = v8::Utils::ToLocal(obj);
AllocationNode* node = AddStack();
node->allocations_[size]++;
auto sample =
std::make_unique<Sample>(size, node, loc, this, next_sample_id());
sample->global.SetWeak(sample.get(), OnWeakCallback,
WeakCallbackType::kParameter);
samples_.emplace(sample.get(), std::move(sample));
}
void SamplingHeapProfiler::OnWeakCallback(
const WeakCallbackInfo<Sample>& data) {
Sample* sample = data.GetParameter();
AllocationNode* node = sample->owner;
DCHECK_GT(node->allocations_[sample->size], 0);
node->allocations_[sample->size]--;
if (node->allocations_[sample->size] == 0) {
node->allocations_.erase(sample->size);
while (node->allocations_.empty() && node->children_.empty() &&
node->parent_ && !node->parent_->pinned_) {
AllocationNode* parent = node->parent_;
AllocationNode::FunctionId id = AllocationNode::function_id(
node->script_id_, node->script_position_, node->name_);
parent->children_.erase(id);
node = parent;
}
}
sample->profiler->samples_.erase(sample);
// sample is deleted because its unique ptr was erased from samples_.
}
SamplingHeapProfiler::AllocationNode* SamplingHeapProfiler::FindOrAddChildNode(
AllocationNode* parent, const char* name, int script_id,
int start_position) {
AllocationNode::FunctionId id =
AllocationNode::function_id(script_id, start_position, name);
AllocationNode* child = parent->FindChildNode(id);
if (child) {
DCHECK_EQ(strcmp(child->name_, name), 0);
return child;
}
auto new_child = std::make_unique<AllocationNode>(
parent, name, script_id, start_position, next_node_id());
return parent->AddChildNode(id, std::move(new_child));
}
SamplingHeapProfiler::AllocationNode* SamplingHeapProfiler::AddStack() {
AllocationNode* node = &profile_root_;
std::vector<SharedFunctionInfo> stack;
JavaScriptFrameIterator it(isolate_);
int frames_captured = 0;
bool found_arguments_marker_frames = false;
while (!it.done() && frames_captured < stack_depth_) {
JavaScriptFrame* frame = it.frame();
// If we are materializing objects during deoptimization, inlined
// closures may not yet be materialized, and this includes the
// closure on the stack. Skip over any such frames (they'll be
// in the top frames of the stack). The allocations made in this
// sensitive moment belong to the formerly optimized frame anyway.
if (frame->unchecked_function().IsJSFunction()) {
SharedFunctionInfo shared = frame->function().shared();
stack.push_back(shared);
frames_captured++;
} else {
found_arguments_marker_frames = true;
}
it.Advance();
}
if (frames_captured == 0) {
const char* name = nullptr;
switch (isolate_->current_vm_state()) {
case GC:
name = "(GC)";
break;
case PARSER:
name = "(PARSER)";
break;
case COMPILER:
name = "(COMPILER)";
break;
case BYTECODE_COMPILER:
name = "(BYTECODE_COMPILER)";
break;
case OTHER:
name = "(V8 API)";
break;
case EXTERNAL:
name = "(EXTERNAL)";
break;
case IDLE:
name = "(IDLE)";
break;
case JS:
name = "(JS)";
break;
}
return FindOrAddChildNode(node, name, v8::UnboundScript::kNoScriptId, 0);
}
// We need to process the stack in reverse order as the top of the stack is
// the first element in the list.
for (auto it = stack.rbegin(); it != stack.rend(); ++it) {
SharedFunctionInfo shared = *it;
const char* name = this->names()->GetName(shared.DebugName());
int script_id = v8::UnboundScript::kNoScriptId;
if (shared.script().IsScript()) {
Script script = Script::cast(shared.script());
script_id = script.id();
}
node = FindOrAddChildNode(node, name, script_id, shared.StartPosition());
}
if (found_arguments_marker_frames) {
node =
FindOrAddChildNode(node, "(deopt)", v8::UnboundScript::kNoScriptId, 0);
}
return node;
}
v8::AllocationProfile::Node* SamplingHeapProfiler::TranslateAllocationNode(
AllocationProfile* profile, SamplingHeapProfiler::AllocationNode* node,
const std::map<int, Handle<Script>>& scripts) {
// By pinning the node we make sure its children won't get disposed if
// a GC kicks in during the tree retrieval.
node->pinned_ = true;
Local<v8::String> script_name =
ToApiHandle<v8::String>(isolate_->factory()->InternalizeUtf8String(""));
int line = v8::AllocationProfile::kNoLineNumberInfo;
int column = v8::AllocationProfile::kNoColumnNumberInfo;
std::vector<v8::AllocationProfile::Allocation> allocations;
allocations.reserve(node->allocations_.size());
if (node->script_id_ != v8::UnboundScript::kNoScriptId &&
scripts.find(node->script_id_) != scripts.end()) {
// Cannot use std::map<T>::at because it is not available on android.
auto non_const_scripts =
const_cast<std::map<int, Handle<Script>>&>(scripts);
Handle<Script> script = non_const_scripts[node->script_id_];
if (!script.is_null()) {
if (script->name().IsName()) {
Name name = Name::cast(script->name());
script_name = ToApiHandle<v8::String>(
isolate_->factory()->InternalizeUtf8String(names_->GetName(name)));
}
line = 1 + Script::GetLineNumber(script, node->script_position_);
column = 1 + Script::GetColumnNumber(script, node->script_position_);
}
}
for (auto alloc : node->allocations_) {
allocations.push_back(ScaleSample(alloc.first, alloc.second));
}
profile->nodes_.push_back(v8::AllocationProfile::Node{
ToApiHandle<v8::String>(
isolate_->factory()->InternalizeUtf8String(node->name_)),
script_name, node->script_id_, node->script_position_, line, column,
node->id_, std::vector<v8::AllocationProfile::Node*>(), allocations});
v8::AllocationProfile::Node* current = &profile->nodes_.back();
// The |children_| map may have nodes inserted into it during translation
// because the translation may allocate strings on the JS heap that have
// the potential to be sampled. That's ok since map iterators are not
// invalidated upon std::map insertion.
for (const auto& it : node->children_) {
current->children.push_back(
TranslateAllocationNode(profile, it.second.get(), scripts));
}
node->pinned_ = false;
return current;
}
v8::AllocationProfile* SamplingHeapProfiler::GetAllocationProfile() {
if (flags_ & v8::HeapProfiler::kSamplingForceGC) {
isolate_->heap()->CollectAllGarbage(
Heap::kNoGCFlags, GarbageCollectionReason::kSamplingProfiler);
}
// To resolve positions to line/column numbers, we will need to look up
// scripts. Build a map to allow fast mapping from script id to script.
std::map<int, Handle<Script>> scripts;
{
Script::Iterator iterator(isolate_);
for (Script script = iterator.Next(); !script.is_null();
script = iterator.Next()) {
scripts[script.id()] = handle(script, isolate_);
}
}
auto profile = new v8::internal::AllocationProfile();
TranslateAllocationNode(profile, &profile_root_, scripts);
profile->samples_ = BuildSamples();
return profile;
}
const std::vector<v8::AllocationProfile::Sample>
SamplingHeapProfiler::BuildSamples() const {
std::vector<v8::AllocationProfile::Sample> samples;
samples.reserve(samples_.size());
for (const auto& it : samples_) {
const Sample* sample = it.second.get();
samples.emplace_back(v8::AllocationProfile::Sample{
sample->owner->id_, sample->size, ScaleSample(sample->size, 1).count,
sample->sample_id});
}
return samples;
}
} // namespace internal
} // namespace v8
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