naiveproxy/base/task/task_scheduler/service_thread.cc

103 lines
3.7 KiB
C++
Raw Normal View History

2018-12-10 05:59:24 +03:00
// Copyright 2018 The Chromium 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 "base/task/task_scheduler/service_thread.h"
#include "base/bind.h"
#include "base/bind_helpers.h"
#include "base/debug/alias.h"
#include "base/rand_util.h"
#include "base/stl_util.h"
#include "base/task/post_task.h"
#include "base/task/task_scheduler/task_scheduler.h"
#include "base/task/task_scheduler/task_tracker.h"
#include "base/task/task_traits.h"
namespace base {
namespace internal {
namespace {
TimeDelta g_heartbeat_for_testing = TimeDelta();
} // namespace
ServiceThread::ServiceThread(const TaskTracker* task_tracker,
RepeatingClosure report_heartbeat_metrics_callback)
: Thread("TaskSchedulerServiceThread"),
task_tracker_(task_tracker),
report_heartbeat_metrics_callback_(
std::move(report_heartbeat_metrics_callback)) {}
ServiceThread::~ServiceThread() = default;
// static
void ServiceThread::SetHeartbeatIntervalForTesting(TimeDelta heartbeat) {
g_heartbeat_for_testing = heartbeat;
}
void ServiceThread::Init() {
// In unit tests we sometimes do not have a fully functional TaskScheduler
// environment, do not perform the heartbeat report in that case since it
// relies on such an environment.
if (TaskScheduler::GetInstance()) {
// Compute the histogram every hour (with a slight offset to drift if that
// hour tick happens to line up with specific events). Once per hour per
// user was deemed sufficient to gather a reliable metric.
constexpr TimeDelta kHeartbeat = TimeDelta::FromMinutes(59);
heartbeat_metrics_timer_.Start(
FROM_HERE,
g_heartbeat_for_testing.is_zero() ? kHeartbeat
: g_heartbeat_for_testing,
BindRepeating(&ServiceThread::ReportHeartbeatMetrics,
Unretained(this)));
}
}
NOINLINE void ServiceThread::Run(RunLoop* run_loop) {
const int line_number = __LINE__;
Thread::Run(run_loop);
base::debug::Alias(&line_number);
}
void ServiceThread::ReportHeartbeatMetrics() const {
report_heartbeat_metrics_callback_.Run();
PerformHeartbeatLatencyReport();
}
void ServiceThread::PerformHeartbeatLatencyReport() const {
if (!task_tracker_)
return;
static constexpr TaskTraits kReportedTraits[] = {
{TaskPriority::BEST_EFFORT}, {TaskPriority::BEST_EFFORT, MayBlock()},
{TaskPriority::USER_VISIBLE}, {TaskPriority::USER_VISIBLE, MayBlock()},
{TaskPriority::USER_BLOCKING}, {TaskPriority::USER_BLOCKING, MayBlock()}};
// Only record latency for one set of TaskTraits per report to avoid bias in
// the order in which tasks are posted (should we record all at once) as well
// as to avoid spinning up many worker threads to process this report if the
// scheduler is currently idle (each pool keeps at least one idle thread so a
// single task isn't an issue).
// Invoke RandInt() out-of-line to ensure it's obtained before
// TimeTicks::Now().
const TaskTraits& profiled_traits =
kReportedTraits[RandInt(0, base::size(kReportedTraits) - 1)];
// Post through the static API to time the full stack. Use a new Now() for
// every set of traits in case PostTaskWithTraits() itself is slow.
// Bonus: this appraoch also includes the overhead of Bind() in the reported
// latency).
base::PostTaskWithTraits(
FROM_HERE, profiled_traits,
BindOnce(&TaskTracker::RecordLatencyHistogram, Unretained(task_tracker_),
TaskTracker::LatencyHistogramType::HEARTBEAT_LATENCY,
profiled_traits, TimeTicks::Now()));
}
} // namespace internal
} // namespace base