Muduo库源码分析（7）：线程池

• 线程池的本质
  生产者与消费者模型，往线程池添加任务相当于生产者，从线程池取出任务相当于消费者，线程池容量相当于有界的缓冲区，所以实现类似于有界缓冲区

class ThreadPool : noncopyable
{
 public:
  typedef std::function<void ()> Task;

  explicit ThreadPool(const string& nameArg = string("ThreadPool"));
  ~ThreadPool();

  void setMaxQueueSize(int maxSize) { maxQueueSize_ = maxSize; }
  void setThreadInitCallback(const Task& cb)
  { threadInitCallback_ = cb; }

  void start(int numThreads);// 启动线程
  void stop();// 停止线程

  const string& name() const
  { return name_; }

  size_t queueSize() const;

  // Could block if maxQueueSize > 0
  void run(const Task& f);// 添加任务
  void run(Task&& f);

 private:
  bool isFull() const;
  void runInThread();// 子线程运行
  Task take();// 取出任务

  mutable MutexLock mutex_;// 互斥锁
  Condition notEmpty_;// 条件变量标记可消费的数量
  Condition notFull_;// 条件变量标记可生产的数量
  string name_;// 线程名字
  Task threadInitCallback_;// 初始化线程回调函数
  std::vector<std::unique_ptr<muduo::Thread>> threads_;// 线程数组
  std::deque<Task> queue_;// 队列实现线程池
  size_t maxQueueSize_;// 线程池容量
  bool running_;// 标记线程是否运行
};

ThreadPool::ThreadPool(const string& nameArg)
  : mutex_(),
    notEmpty_(mutex_),
    notFull_(mutex_),
    name_(nameArg),
    maxQueueSize_(0),
    running_(false)
{
}

ThreadPool::~ThreadPool()
{
  if (running_)
  {
    stop();
  }
}

void ThreadPool::start(int numThreads)
{
  assert(threads_.empty());
  running_ = true;
  threads_.reserve(numThreads);
  for (int i = 0; i < numThreads; ++i)
  {
    char id[32];
    snprintf(id, sizeof id, "%d", i+1);
    threads_.push_back(std::unique_ptr<muduo::Thread>(new muduo::Thread(
          std::bind(&ThreadPool::runInThread, this), name_+id)));
    threads_[i]->start();
  }
  if (numThreads == 0 && threadInitCallback_)
  {
    threadInitCallback_();
  }
}
// 线程终止，将所有的线程调用join方法，避免僵尸线程
void ThreadPool::stop()
{
  {
  MutexLockGuard lock(mutex_);
  running_ = false;
  notEmpty_.notifyAll();
  }
  std::for_each(threads_.begin(),
           threads_.end(),
           std::bind(&muduo::Thread::join, std::placeholders::_1));
}

size_t ThreadPool::queueSize() const
{
  MutexLockGuard lock(mutex_);
  return queue_.size();
}
// 往线程池添加任务
void ThreadPool::run(const Task& task)
{
  if (threads_.empty())
  {
    task();
  }
  else
  {
    MutexLockGuard lock(mutex_);
    while (isFull())// 线程池满，等待
    {
      notFull_.wait();
    }
    assert(!isFull());

    queue_.push_back(task);
    notEmpty_.notify();// 添加任务成功，唤醒阻塞的消费者线程
  }
}

void ThreadPool::run(Task&& task)
{
  if (threads_.empty())
  {
    task();
  }
  else
  {
    MutexLockGuard lock(mutex_);
    while (isFull())
    {
      notFull_.wait();
    }
    assert(!isFull());

    queue_.push_back(std::move(task));
    notEmpty_.notify();
  }
}

ThreadPool::Task ThreadPool::take()
{
  MutexLockGuard lock(mutex_);
  // always use a while-loop, due to spurious wakeup
  while (queue_.empty() && running_)// 线程启动并且线程池没有任务，等待
  {
    notEmpty_.wait();
  }
  Task task;
  if (!queue_.empty())
  {
    task = queue_.front();
    queue_.pop_front();
    if (maxQueueSize_ > 0)
    {
      notFull_.notify();
    }
  }
  return task;
}

bool ThreadPool::isFull() const
{
  mutex_.assertLocked();
  return maxQueueSize_ > 0 && queue_.size() >= maxQueueSize_;
}

// 子线程执行函数
void ThreadPool::runInThread()
{
  try
  {
    if (threadInitCallback_)
    {
      threadInitCallback_();
    }
    while (running_)
    {
      Task task(take());// 线程池中没有任务阻塞
      if (task)
      {
        task();
      }
    }
  }
  catch (const Exception& ex)
  {
    fprintf(stderr, "exception caught in ThreadPool %s\n", name_.c_str());
    fprintf(stderr, "reason: %s\n", ex.what());
    fprintf(stderr, "stack trace: %s\n", ex.stackTrace());
    abort();
  }
  catch (const std::exception& ex)
  {
    fprintf(stderr, "exception caught in ThreadPool %s\n", name_.c_str());
    fprintf(stderr, "reason: %s\n", ex.what());
    abort();
  }
  catch (...)
  {
    fprintf(stderr, "unknown exception caught in ThreadPool %s\n", name_.c_str());
    throw; // rethrow
  }
}