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Thread pool in chromium

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Thread pool in chromium

本文来尝试分析 chromium 中线程池的实现与一些应用.

从任务发起出发

首先来看从最上层接口 TaskRunner PostTask, 到任务开始运行经历的流程.

从时序图可见从任务发起到真正执行, 经历了多个类, 多重步骤, 我们需要理解这些类在调用流程的作用和它们的生命周期, 才能明白 chromium 的设计意图, 以及要达到什么目的.

为了简化理解, 将类分组,

  1. TaskRunner
  2. ThreadPoolImpl, TaskTracker, TaskAnnotation. TaskTracker 持有 TaskAnnotation, 又被 ThreadPoolImpl 持有, 它们的声明周期相同
  3. ThreadGroup, ThreadGroupImpl. ThreadGroup 是 ThreadPool 持有线程的一个子集. ThreadPool 肯定会有一个前端 ThreadGroup, 根据启动参数创建后端 ThreadGroup, 且后端可根据配置切换到 ThreadGroupNative 实现, 前端只能是 ThreadGroupImpl 实现. GetThreadGroupForTraits来通过任务优先级选择 ThreadGroup, 较低优先级的任务会尝试放到后端.
  4. WorkerThread, WorkerThreadDelegateImpl. 工作线程, 和工作线程与 ThreadGroup 沟通的桥梁.

我们根据调用数据来看实际的代码, 需要注意的是线程池的接口许多都是多线程访问, 因此要考虑线程安全问题.

// base/task/thread_pool/pooled_parallel_task_runner.cc:21
bool PooledParallelTaskRunner::PostDelayedTask(const Location& from_here,
                                               OnceClosure closure,
                                               TimeDelta delay) {
  // pooled_task_runner_delegate_ 就是 ThreadPoolImpl, 这个判断为测试服务, 因此不用关心
  if (!PooledTaskRunnerDelegate::MatchesCurrentDelegate(
          pooled_task_runner_delegate_)) {
    return false;
  }

  // 创建 一次性的单任务 Sequence.
  scoped_refptr<Sequence> sequence = MakeRefCounted<Sequence>(
      traits_, this, TaskSourceExecutionMode::kParallel);

  {
    CheckedAutoLock auto_lock(lock_);
    sequences_.insert(sequence.get());
  }

  return pooled_task_runner_delegate_->PostTaskWithSequence(
      Task(from_here, std::move(closure), TimeTicks::Now(), delay),
      std::move(sequence));
}

这里说明几个数据类:

traits_ : TaskTraits, 它标识了 TaskRunner 发出 Task 的元信息, 包括

TaskPriority, TaskShutdownBehavior, ThreadPolicy, MayBlock, WithBaseSyncPrimitive

Sequence : 继承了 TaskSource, 通过 Transaction 机制存储 Task, 底层是 queue, 提供任务执行的先后顺序的可能性.

Task : 存储任务的信息 创建时包括 任务的发起点, 要执行的闭包, 任务的已经等待时间和延迟时间.

现在我们创建好了需要的 Task 和 Sequence, 继续执行下一个方法.

// base/task/thread_pool/thread_pool_impl.cc:480
bool ThreadPoolImpl::PostTaskWithSequence(Task task,
                                          scoped_refptr<Sequence> sequence) {
  CHECK(task.task);
  DCHECK(sequence);

  if (!task_tracker_->WillPostTask(&task, sequence->shutdown_behavior()))
    return false;

  if (task.delayed_run_time.is_null()) {
    return PostTaskWithSequenceNow(std::move(task), std::move(sequence));
  } else {
    // It's safe to take a ref on this pointer since the caller must have a ref
    // to the TaskRunner in order to post.
    scoped_refptr<TaskRunner> task_runner = sequence->task_runner();
    delayed_task_manager_.AddDelayedTask(
        std::move(task),
        BindOnce(
            [](scoped_refptr<Sequence> sequence,
               ThreadPoolImpl* thread_pool_impl, Task task) {
              thread_pool_impl->PostTaskWithSequenceNow(std::move(task),
                                                        std::move(sequence));
            },
            std::move(sequence), Unretained(this)),
        std::move(task_runner));
  }

  return true;
}

首先在 task_tracker_ 做检测, 是否当前处于 shut_down 状态, 然后在 task_annotator_ 填充 task 的栈帧(用于crash时在core dump中显示.)
之后检测task的延迟时间, 我们只考虑没有延迟的情况.

// base/task/thread_pool/thread_pool_impl.cc:418
bool ThreadPoolImpl::PostTaskWithSequenceNow(Task task,
                                             scoped_refptr<Sequence> sequence) {
  auto transaction = sequence->BeginTransaction();
  const bool sequence_should_be_queued = transaction.WillPushTask();
  RegisteredTaskSource task_source;
  if (sequence_should_be_queued) {
    task_source = task_tracker_->RegisterTaskSource(sequence);
    // We shouldn't push |task| if we're not allowed to queue |task_source|.
    if (!task_source)
      return false;
  }
  if (!task_tracker_->WillPostTaskNow(task, transaction.traits().priority()))
    return false;
  transaction.PushTask(std::move(task));
  if (task_source) {
    const TaskTraits traits = transaction.traits();
    GetThreadGroupForTraits(traits)->PushTaskSourceAndWakeUpWorkers(
        {std::move(task_source), std::move(transaction)});
  }
  return true;
}

首先开启一个 transaction, 它用于维护 sequence 的状态, 会在构造函数对 sequence 加锁, 析构函数解锁.
transaction.WillPushTask() 返回 sequence 的 queue 为空且未与 WorkerThread 绑定, 在我们的情况下为真, 因为 sequence 被创建后是首次进入 PostTaskWithSequenceNow 函数.
之后我们通过 task_tracker_->RegisterTaskSource(sequence) 生成一个 RegisteredTaskSource. 在这里还是需要检查 shut_down(多线程访问的架构下, 任何时间都又可能进入 shut_down 状态), 然后增加未完成的 task_source 计数, 然后生成 RegisteredTaskSource, 即 task_source 的一个 RAII warper .
task_tracker_->WillPostTaskNow 检查状态
transaction.PushTask(std::move(task)) 将任务加入到 queue
最后找到 traits 对应的 ThreadGroup 来发起 PushTaskSourceAndWakeUpWorkers, 这里我们假设走前端的 ThreadGroupImpl.


void ThreadGroupImpl::PushTaskSourceAndWakeUpWorkers(
    TransactionWithRegisteredTaskSource transaction_with_task_source) {
  ScopedCommandsExecutor executor(this);
  PushTaskSourceAndWakeUpWorkersImpl(&executor,
                                     std::move(transaction_with_task_source));
}


void ThreadGroup::PushTaskSourceAndWakeUpWorkersImpl(
    BaseScopedCommandsExecutor* executor,
    TransactionWithRegisteredTaskSource transaction_with_task_source) {
  CheckedAutoLock auto_lock(lock_);
  DCHECK(!replacement_thread_group_);
  DCHECK_EQ(delegate_->GetThreadGroupForTraits(
                transaction_with_task_source.transaction.traits()),
            this);
  if (transaction_with_task_source.task_source->heap_handle().IsValid()) {
    // If the task source changed group, it is possible that multiple concurrent
    // workers try to enqueue it. Only the first enqueue should succeed.
    executor->ScheduleReleaseTaskSource(
        std::move(transaction_with_task_source.task_source));
    return;
  }
  auto sort_key = transaction_with_task_source.task_source->GetSortKey(
      disable_fair_scheduling_);
  priority_queue_.Push(std::move(transaction_with_task_source.task_source),
                       sort_key);
  EnsureEnoughWorkersLockRequired(executor);
}

// base/task/thread_pool/thread_group_impl.cc:173
void FlushImpl() {
  CheckedLock::AssertNoLockHeldOnCurrentThread();

  // Wake up workers.
  workers_to_wake_up_.ForEachWorker(
      [](WorkerThread* worker) { worker->WakeUp(); });

  // Start workers. Happens after wake ups to prevent the case where a worker
  // enters its main function, is descheduled because it wasn't woken up yet,
  // and is woken up immediately after.
  workers_to_start_.ForEachWorker([&](WorkerThread* worker) {
    worker->Start(outer_->after_start().worker_thread_observer);
    if (outer_->worker_started_for_testing_)
      outer_->worker_started_for_testing_->Wait();
  });

  if (must_schedule_adjust_max_tasks_)
    outer_->ScheduleAdjustMaxTasks();

  if (!scheduled_histogram_samples_->empty()) {
    DCHECK_LE(scheduled_histogram_samples_->size(),
              kHistogramSampleStackSize);
    for (auto& scheduled_sample : scheduled_histogram_samples_)
      scheduled_sample.first->Add(scheduled_sample.second);
    scheduled_histogram_samples_->clear();
  }
}

ScopedCommandsExecutor : 会在析构函数调用 FlushImpl(), 我们最后再来看这个函数
PushTaskSourceAndWakeUpWorkersImpl 在加锁后首先判断 task_source->heap_handle, 这个值会在TaskSource被加入到优先队列时赋值, 即判断是否task_source是否已经被加入.(这里Transaction对象虽然持有了task_source的锁,但并没有防止在ReEnqueueTaskSourceLockRequired函数被中加入优先队列, 该函数会在后面继续提到), 如果已经在优先队列, 用executor获取task_source的所有权, 这是为了让Transaction正确的销毁后,再去销毁task_source, 这里会产生的行为包括修改引用计数, 未完成的task_source计数等.

否则将 task_source 加入到优先队列中, 然后EnsureEnoughWorkersLockRequired会选择需要唤醒的worker加入到executor中, 这里涉及到WorkerThread的动态变化问题, 后续再详细分析, 先假设一个空闲的WorkerThread被加入.

FlushImpl : 我们关注前两个调用, 首先Assert现在没有锁被持有, 因为ThreadGroup的锁和TaskSource的锁在上个函数结束时都被自动释放了. 其次唤醒需要运行 task 的 WorkerThread.


运行到这里就task发起线程的流程就完成,对ThreadPool做一个小总结, 它负责启动/停止线程池, 创建各种不同类型的TaskRunner, 允许Task有不同的优先级、运行策略和延迟. 它是进程单例的. 接下来继续对 WorkerThread 对部分进行分析.

WorkerThread

线程池中的工作线程, 它不同于 base/threading/thread, 是专门为线程池和TaskRunner的需求做的抽象, 逻辑更为紧密, 接口也更简单.

来看其如何运行的, 首先由 ThreadGroup 动态创建, 之后调用 Start() 启动, 真正的线程由 PlatformThread 创建并启动(POSIX/WIN 两种实现), 然后调回 RunWorker()

Start(worker_thread_observer);
PlatformThread::CreateWithPriority(kDefaultStackSize, this, &thread_handle_,
                                    current_thread_priority_);
ThreadMain();
Run[Background]<ThreadLabel>Worker(); // 从调用栈里显示线程的类型
RunWorker();
// base/task/thread_pool/worker_thread.cc
void WorkerThread::RunWorker() {
  delegate_->OnMainEntry(this);

  // A WorkerThread starts out waiting for work.
  delegate_->WaitForWork(&wake_up_event_);

  while (!ShouldExit()) {
    UpdateThreadPriority(GetDesiredThreadPriority());

    // Get the task source containing the next task to execute.
    RegisteredTaskSource task_source = delegate_->GetWork(this);
    if (!task_source) {
      // Exit immediately if GetWork() resulted in detaching this worker.
      if (ShouldExit())
        break;

      delegate_->WaitForWork(&wake_up_event_);
      continue;
    }

    task_source = task_tracker_->RunAndPopNextTask(std::move(task_source));

    delegate_->DidProcessTask(std::move(task_source));

    // Calling WakeUp() guarantees that this WorkerThread will run Tasks from
    // TaskSources returned by the GetWork() method of |delegate_| until it
    // returns nullptr. Resetting |wake_up_event_| here doesn't break this
    // invariant and avoids a useless loop iteration before going to sleep if
    // WakeUp() is called while this WorkerThread is awake.
    wake_up_event_.Reset();
  }

  // Important: It is unsafe to access unowned state (e.g. |task_tracker_|)
  // after invoking OnMainExit().
  delegate_->OnMainExit(this);
  // Release the self-reference to |this|. This can result in deleting |this|
  // and as such no more member accesses should be made after this point.
  self_ = nullptr;
}

在整体的流程上, 该线程循环也符合一般的想法, 在检查 ShouldExit 循环中, GetWork 尝试获取一个 RegisteredTaskSource , 如果没有拿到, 就等待, 否则交给 task_tracker_ 运行 RunAndPopNextTask , 然后做 DidProcessTask. delegate_ 是 WorkerThreadDelegateImpl 对象, 它是 WorkerThread 和 ThreadGroupImpl 通信的桥梁.

OnMainEntry/OnMainExit 还是做一些检查, 不会改变状态, WaitForWork 的第一次调用显得奇怪, 为什么不直接进入 loop 中, 而要额外做一次等待呢? 这里应该还是与状态相关, 我们首先来看 GetWork

// base/task/thread_pool/thread_group_impl.cc
RegisteredTaskSource ThreadGroupImpl::WorkerThreadDelegateImpl::GetWork(
    WorkerThread* worker) {
  // outer_ 是 ThreadGroupImpl 的引用
  ScopedCommandsExecutor executor(outer_.get());
  CheckedAutoLock auto_lock(outer_->lock_);

  // 必要时尝试创建新Worker, 在此以避免阻塞PostTask执行.
  if (!outer_->after_start().wakeup_after_getwork &&
      outer_->after_start().wakeup_strategy !=
          WakeUpStrategy::kCentralizedWakeUps) {
    outer_->EnsureEnoughWorkersLockRequired(&executor);
    executor.FlushWorkerCreation(&outer_->lock_);
  }

  if (!CanGetWorkLockRequired(&executor, worker)) // (1)
    return nullptr;

  RegisteredTaskSource task_source;
  TaskPriority priority;
  while (!task_source && !outer_->priority_queue_.IsEmpty()) {
    // Enforce the CanRunPolicy and that no more than |max_best_effort_tasks_|
    // BEST_EFFORT tasks run concurrently.
    priority = outer_->priority_queue_.PeekSortKey().priority();
    if (!outer_->task_tracker_->CanRunPriority(priority) ||
        (priority == TaskPriority::BEST_EFFORT &&
         outer_->num_running_best_effort_tasks_ >=
             outer_->max_best_effort_tasks_)) {
      break;
    }

    task_source = outer_->TakeRegisteredTaskSource(&executor);
  }
  if (!task_source) {
    OnWorkerBecomesIdleLockRequired(worker); // (4)
    return nullptr;
  }

  // Running task bookkeeping.
  outer_->IncrementTasksRunningLockRequired(priority);
  DCHECK(!outer_->idle_workers_stack_.Contains(worker));
  write_worker().current_task_priority = priority;
  write_worker().current_shutdown_behavior = task_source->shutdown_behavior();

  if (outer_->after_start().wakeup_after_getwork &&
      outer_->after_start().wakeup_strategy !=
          WakeUpStrategy::kCentralizedWakeUps) {
    outer_->EnsureEnoughWorkersLockRequired(&executor);
  }

  return task_source;
}


bool ThreadGroupImpl::WorkerThreadDelegateImpl::CanGetWorkLockRequired(
    ScopedCommandsExecutor* executor,
    WorkerThread* worker) {
  // To avoid searching through the idle stack : use GetLastUsedTime() not being
  // null (or being directly on top of the idle stack) as a proxy for being on
  // the idle stack.
  const bool is_on_idle_workers_stack =
      outer_->idle_workers_stack_.Peek() == worker ||
      !worker->GetLastUsedTime().is_null();
  DCHECK_EQ(is_on_idle_workers_stack,
            outer_->idle_workers_stack_.Contains(worker));

  if (is_on_idle_workers_stack) {            // (2)
    if (CanCleanupLockRequired(worker))
      CleanupLockRequired(executor, worker);  // (3)
    return false;
  }

  // Excess workers should not get work, until they are no longer excess (i.e.
  // max tasks increases). This ensures that if we have excess workers in the
  // thread group, they get a chance to no longer be excess before being cleaned
  // up.
  if (outer_->GetNumAwakeWorkersLockRequired() > outer_->max_tasks_) {
    OnWorkerBecomesIdleLockRequired(worker); // (4)
    return false;
  }

  return true;
}

// base/task/thread_pool/thread_group_impl.h
class ThreadGroupImpl {
  ...
  // Stack of idle workers. Initially, all workers are on this stack. A worker
  // is removed from the stack before its WakeUp() function is called and when
  // it receives work from GetWork() (a worker calls GetWork() when its sleep
  // timeout expires, even if its WakeUp() method hasn't been called). A worker
  // is pushed on this stack when it receives nullptr from GetWork().
  WorkerThreadStack idle_workers_stack_ GUARDED_BY(lock_);
}

首先要说明 WaitForWork 是会超时的, 因此 GetWork 有可能是被等待超时后的 Worker 触发, 也有可能真正被唤醒的.
根据代码和注释, WorkerThread会有两种状态, Idle/Wake, Idle 线程存放在 idle_workers_stack_, 且初始都会是 Idle 的, 在 GetWork 时(1)如果发现 Worker Idle(2), 就会尝试退出线程(3). 否则在当前运行的 Worker 数量大于最大 task 数量或拿不到 task 时(4), 将 WorkerThread 变为 Idle.
这里和上文忽略的动态创建WorkerThread都属于动态线程管理, 在可以忍受线程创建销毁的开销下, 可以保证任务来临时会被尽快的运行. 也解释了为什么要先 WaitForWork, 如果直接调 GetWork, 新创建的线程就直接被当作 Idle 而销毁了.

接下来我们看任务交给 task_tracker_ 运行的流程

// base/task/thread_pool/task_tracker.cc
RegisteredTaskSource TaskTracker::RunAndPopNextTask(
    RegisteredTaskSource task_source) {
  DCHECK(task_source);

  // 是否正在退出,或者应该阻塞退出?
  const bool should_run_tasks = BeforeRunTask(task_source->shutdown_behavior());

  // Run the next task in |task_source|.
  absl::optional<Task> task;
  TaskTraits traits;
  {
    // 开启 transaction, 保证 task_source 的状态.
    auto transaction = task_source->BeginTransaction();
    task = should_run_tasks ? task_source.TakeTask(&transaction)
                            : task_source.Clear(&transaction);
    traits = transaction.traits();
  }

  if (task) {
    // Run the |task| (whether it's a worker task or the Clear() closure).
    RunTask(std::move(task.value()), task_source.get(), traits);
  }
  if (should_run_tasks)
    // 为 SKIP_ON_SHUTDOWN 减少阻塞退出计数
    AfterRunTask(task_source->shutdown_behavior());
  const bool task_source_must_be_queued = task_source.DidProcessTask();
  // |task_source| should be reenqueued iff requested by DidProcessTask().
  if (task_source_must_be_queued)
    return task_source;
  return nullptr;
}


void TaskTracker::RunTask(Task task,
                          TaskSource* task_source,
                          const TaskTraits& traits) {
  DCHECK(task_source);

  const auto environment = task_source->GetExecutionEnvironment();

  absl::optional<ScopedDisallowSingleton> disallow_singleton;
  absl::optional<ScopedDisallowBlocking> disallow_blocking;
  absl::optional<ScopedDisallowBaseSyncPrimitives> disallow_sync_primitives;
  if (traits.shutdown_behavior() == TaskShutdownBehavior::CONTINUE_ON_SHUTDOWN)
    disallow_singleton.emplace();
  if (!traits.may_block())
    disallow_blocking.emplace();
  if (!traits.with_base_sync_primitives())
    disallow_sync_primitives.emplace();

  {
    DCHECK(environment.token.IsValid());
    ScopedSetSequenceTokenForCurrentThread
        scoped_set_sequence_token_for_current_thread(environment.token);
    ScopedSetTaskPriorityForCurrentThread
        scoped_set_task_priority_for_current_thread(traits.priority());

    // Local storage map used if none is provided by |environment|.
    absl::optional<SequenceLocalStorageMap> local_storage_map;
    if (!environment.sequence_local_storage)
      local_storage_map.emplace();

    ScopedSetSequenceLocalStorageMapForCurrentThread
        scoped_set_sequence_local_storage_map_for_current_thread(
            environment.sequence_local_storage
                ? environment.sequence_local_storage
                : &local_storage_map.value());

    // Set up TaskRunnerHandle as expected for the scope of the task.
    absl::optional<SequencedTaskRunnerHandle> sequenced_task_runner_handle;
    absl::optional<ThreadTaskRunnerHandle> single_thread_task_runner_handle;
    absl::optional<EphemeralTaskExecutor> ephemeral_task_executor;
    switch (task_source->execution_mode()) {
      case TaskSourceExecutionMode::kJob:
      case TaskSourceExecutionMode::kParallel:
        break;
      case TaskSourceExecutionMode::kSequenced:
        DCHECK(task_source->task_runner());
        sequenced_task_runner_handle.emplace(
            static_cast<SequencedTaskRunner*>(task_source->task_runner()));
        ephemeral_task_executor.emplace(
            static_cast<SequencedTaskRunner*>(task_source->task_runner()),
            nullptr, &traits);
        break;
      case TaskSourceExecutionMode::kSingleThread:
        DCHECK(task_source->task_runner());
        single_thread_task_runner_handle.emplace(
            static_cast<SingleThreadTaskRunner*>(task_source->task_runner()));
        ephemeral_task_executor.emplace(
            static_cast<SequencedTaskRunner*>(task_source->task_runner()),
            static_cast<SingleThreadTaskRunner*>(task_source->task_runner()),
            &traits);
        break;
    }
    
    // Run<ShutdownBehavior> => RunTaskImpl => tak_annotator_.RunTask => RunTaskImpl
    RunTaskWithShutdownBehavior(task, traits, task_source, environment.token);

    // Make sure the arguments bound to the callback are deleted within the
    // scope in which the callback runs.
    task.task = OnceClosure();
  }
}


void TaskAnnotator::RunTaskImpl(PendingTask& pending_task) {
  debug::ScopedTaskRunActivity task_activity(pending_task);

  TRACE_HEAP_PROFILER_API_SCOPED_TASK_EXECUTION(
      pending_task.posted_from.file_name());

  // Before running the task, store the IPC context and the task backtrace with
  // the chain of PostTasks that resulted in this call and deliberately alias it
  // to ensure it is on the stack if the task crashes. Be careful not to assume
  // that the variable itself will have the expected value when displayed by the
  // optimizer in an optimized build. Look at a memory dump of the stack.
  static constexpr int kStackTaskTraceSnapshotSize =
      PendingTask::kTaskBacktraceLength + 4;
  std::array<const void*, kStackTaskTraceSnapshotSize> task_backtrace;

  // Store a marker to locate |task_backtrace| content easily on a memory
  // dump. The layout is as follows:
  //
  // +------------ +----+---------+-----+-----------+----------+-------------+
  // | Head Marker | PC | frame 0 | ... | frame N-1 | IPC hash | Tail Marker |
  // +------------ +----+---------+-----+-----------+----------+-------------+
  //
  // Markers glossary (compliments of wez):
  //      cool code,do it dude!
  //   0x c001 c0de d0 17 d00d
  //      o dude,i did it biig
  //   0x 0 d00d 1 d1d 17 8119
  task_backtrace.front() = reinterpret_cast<void*>(0xc001c0ded017d00d);
  task_backtrace.back() = reinterpret_cast<void*>(0x0d00d1d1d178119);

  task_backtrace[1] = pending_task.posted_from.program_counter();
  ranges::copy(pending_task.task_backtrace, task_backtrace.begin() + 2);
  task_backtrace[kStackTaskTraceSnapshotSize - 2] =
      reinterpret_cast<void*>(pending_task.ipc_hash);
  debug::Alias(&task_backtrace);

  auto* tls = GetTLSForCurrentPendingTask();
  auto* previous_pending_task = tls->Get();
  tls->Set(&pending_task);

  if (g_task_annotator_observer)
    g_task_annotator_observer->BeforeRunTask(&pending_task);
  std::move(pending_task.task).Run();

  tls->Set(previous_pending_task);

  // Stomp the markers. Otherwise they can stick around on the unused parts of
  // stack and cause |task_backtrace| to be associated with an unrelated stack
  // sample on this thread later in the event of a crash. Alias once again after
  // these writes to make sure the compiler doesn't optimize them out (unused
  // writes to a local variable).
  task_backtrace.front() = nullptr;
  task_backtrace.back() = nullptr;
  debug::Alias(&task_backtrace);
}

RunTask中用到了许多RAII, 它们是来保证任务能运行在正确的环境中, 然后我们看到在RunTaskImpl中, 填充了task的源栈帧, 并且使用了两个有意思的魔数, 最后终于将其运行. 运行后的清理工作由 DidProcessTask 完成, 包括将还有任务的 queue 重新加入 ThreadGroup, 以及恢复由 task 带来的状态改变.

退出

线程池的退出从 ThreadPoolImpl::Shutdown 开始.


void ThreadPoolImpl::Shutdown() {

  task_tracker_->StartShutdown();

  // Allow all tasks to run. Done after initiating shutdown to ensure that non-
  // BLOCK_SHUTDOWN tasks don't get a chance to run and that BLOCK_SHUTDOWN
  // tasks run with a normal thread priority.
  UpdateCanRunPolicy();

  // Ensures that there are enough background worker to run BLOCK_SHUTDOWN
  // tasks.
  foreground_thread_group_->OnShutdownStarted();
  if (background_thread_group_)
    background_thread_group_->OnShutdownStarted();

  task_tracker_->CompleteShutdown();
}

void TaskTracker::StartShutdown() {
  CheckedAutoLock auto_lock(shutdown_lock_);

  // This method can only be called once.
  DCHECK(!shutdown_event_);
  DCHECK(!state_->HasShutdownStarted());

  shutdown_event_ = std::make_unique<WaitableEvent>();

  const bool tasks_are_blocking_shutdown = state_->StartShutdown();

  // From now, if a thread causes the number of tasks blocking shutdown to
  // become zero, it will call OnBlockingShutdownTasksComplete().

  if (!tasks_are_blocking_shutdown) {
    // If another thread posts a BLOCK_SHUTDOWN task at this moment, it will
    // block until this method releases |shutdown_lock_|. Then, it will fail
    // DCHECK(!shutdown_event_->IsSignaled()). This is the desired behavior
    // because posting a BLOCK_SHUTDOWN task after StartShutdown() when no
    // tasks are blocking shutdown isn't allowed.
    shutdown_event_->Signal();
    return;
  }
}

void TaskTracker::CompleteShutdown() {
  // It is safe to access |shutdown_event_| without holding |lock_| because the
  // pointer never changes after being set by StartShutdown(), which must
  // happen-before this.
  DCHECK(TS_UNCHECKED_READ(shutdown_event_));

  {
    base::ScopedAllowBaseSyncPrimitives allow_wait;
    // Allow tests to wait for and introduce logging about the shutdown tasks
    // before we block this thread.
    BeginCompleteShutdown(*TS_UNCHECKED_READ(shutdown_event_));
    // Now block the thread until all tasks are done.
    TS_UNCHECKED_READ(shutdown_event_)->Wait();
  }

  // Unblock FlushForTesting() and perform the FlushAsyncForTesting callback
  // when shutdown completes.
  {
    CheckedAutoLock auto_lock(flush_lock_);
    flush_cv_->Broadcast();
  }
  CallFlushCallbackForTesting();
}

void ThreadGroupImpl::OnShutdownStarted() {
  ScopedCommandsExecutor executor(this);
  CheckedAutoLock auto_lock(lock_);

  // Don't do anything if the thread group isn't started.
  if (max_tasks_ == 0 || UNLIKELY(join_for_testing_started_))
    return;

  // Start a MAY_BLOCK scope on each worker that is already running a task.
  for (scoped_refptr<WorkerThread>& worker : workers_) {
    // The delegates of workers inside a ThreadGroupImpl should be
    // WorkerThreadDelegateImpls.
    WorkerThreadDelegateImpl* delegate =
        static_cast<WorkerThreadDelegateImpl*>(worker->delegate());
    AnnotateAcquiredLockAlias annotate(lock_, delegate->lock());
    delegate->OnShutdownStartedLockRequired(&executor);
  }
  EnsureEnoughWorkersLockRequired(&executor);

  shutdown_started_ = true;
}


void ThreadGroupImpl::WorkerThreadDelegateImpl::OnShutdownStartedLockRequired(
    ScopedCommandsExecutor* executor) {
  if (!read_any().is_running_task())
    return;
  // Workers running a CONTINUE_ON_SHUTDOWN tasks are replaced by incrementing
  // max_tasks/max_best_effort_tasks. The effect is reverted in
  // DidProcessTask().
  if (*read_any().current_shutdown_behavior ==
      TaskShutdownBehavior::CONTINUE_ON_SHUTDOWN) {
    incremented_max_tasks_for_shutdown_ = true;
    IncrementMaxTasksLockRequired();
  }
}

首先开始启动 Shutdown. shutdown_event_ 来阻塞 CompleteShutdown, 确保阻塞停止的任务全部运行完成. 然后调用 ThreadGroup 的 OnShutdownStarted, OnShutdownStartedLockRequired 负责统计 CONTINUE_ON_SHUTDOWN 任务的个数, 在 EnsureEnoughWorkersLockRequired 唤醒对应的 WorkerThread 以保证它们能被运行.

看起来 ThreadGroupImpl 没有被销毁, 注释中也提到它不允许被销毁, 除非创建失败或测试环境. 先来看 WorkerThread 是怎么退出的.


// Makes a request to cleanup the worker. This may be called from any thread.
// The caller is expected to release its reference to this object after
// calling Cleanup(). Further method calls after Cleanup() returns are
// undefined.
//
// Expected Usage:
//   scoped_refptr<WorkerThread> worker_ = /* Existing Worker */
//   worker_->Cleanup();
//   worker_ = nullptr;
void WorkerThread::Cleanup() {
  DCHECK(!should_exit_.IsSet());
  should_exit_.Set();
  wake_up_event_.Signal();
}

bool WorkerThread::ShouldExit() const {
  // The ordering of the checks is important below. This WorkerThread may be
  // released and outlive |task_tracker_| in unit tests. However, when the
  // WorkerThread is released, |should_exit_| will be set, so check that
  // first.
  return should_exit_.IsSet() || join_called_for_testing_.IsSet() ||
         task_tracker_->IsShutdownComplete();
}

Cleanup 是上文提到 GetTask 时发现自己是 Idle 情况下被调用, 而 ShouldExit 会检查 should_exit_ 和 task_tracker_. RunWorker 在结束后会通过 OnMainExit 调用到 ThreadGroupImpl , 因此需要比所有创建的 WorkerThread 生命周期都长. ThreadPoolImpl 的析构函数中释放了 ThreadGroupImpl 的 unique_ptr, 因此逻辑上应有的销毁顺序为 All WorkerThread, ThreadGroupImpl, ThreadPoolImpl, 但 ThreadPoolImpl 是进程单例且没有主动析构, ThreadPoolImpl, ThreadGroupImpl, 都是不会被析构到, 主动泄漏的.

最后看一张类图,来总结类之间的关系

References

标签:task,thread,Thread,worker,source,_-,shutdown,chromium,pool
来源: https://www.cnblogs.com/xxrlz/p/15513673.html