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c++ 11 多线线程系列-----------生产者消费者

        生产者消费者问题是多线程并发中一个非常经典的问题,相信学过操作系统课程的同学都清楚这个问题的根源。本文将就四种情况分析并介绍生产者和消费者问题,它们分别是:单生产者-单消费者模型,单生产者-多消费者模型,多生产者-单消费者模型,多生产者-多消费者模型,我会给出四种情况下的 C++11 并发解决方案。

一、单生产者-单消费者模型

         顾名思义,单生产者-单消费者模型中只有一个生产者和一个消费者,生产者不停地往产品库中放入产品,消费者则从产品库中取走产品,产品库容积有限制,只能容纳一定数目的产品,如果生产者生产产品的速度过快,则需要等待消费者取走产品之后,产品库不为空才能继续往产品库中放置新的产品,相反,如果消费者取走产品的速度过快,则可能面临产品库中没有产品可使用的情况,此时需要等待生产者放入一个产品后,消费者才能继续工作。C++11实现单生产者单消费者模型的代码如下:

#include <iostream>
#include <condition_variable>
#include <mutex>
#include <thread>

static const int repository_size = 10;//循环队列的大小
static const int item_total = 20;//要生产的产品数目

std::mutex mtx;//互斥量,保护产品缓冲区

std::condition_variable repo_not_full;//条件变量指示产品缓冲区不满
std::condition_variable repo_not_empty;//条件变量指示产品缓冲区不为空,就是缓冲区有产品

int item_buffer[repository_size];

static std::size_t read_position = 0;//消费者读取产品的位置
static std::size_t write_position = 0;//生产者写入产品的位置

std::chrono::seconds t(1);//a  new feature of c++ 11 standard

void produce_item(int i)
{
  std::unique_lock<std::mutex> lck(mtx);
  while (((write_position + 1) % repository_size) == read_position)
  {
    std::cout << "Producer is waiting for an empty slot..." << std::endl;
    repo_not_full.wait(lck);// 生产者等待"产品库缓冲区不为满"这一条件发生.
  }                            //当缓冲区满了之后我们就不能添加产品了

  item_buffer[write_position] = i;//写入产品
  write_position++;

  if (write_position == repository_size)//写入的位置如果在队列最后则重新设置
  {
    write_position = 0;
  }

  repo_not_empty.notify_all();//通知消费者产品库不为空

  //lck.unlock();//解锁
}

int consume_item()
{
  int data;
  std::unique_lock<std::mutex> lck(mtx);
  while (write_position == read_position)
  {
    std::cout << "Consumer is waiting for items..." << std::endl;
    repo_not_empty.wait(lck);// 消费者等待"产品库缓冲区不为空"这一条件发生.
  }                            

  data = item_buffer[read_position];//读取产品
  read_position++;

  if (read_position >= repository_size)
  {
    read_position = 0;
  }
    
  repo_not_full.notify_all();//通知产品库不满
  //lck.unlock();

  return data;
}

void Producer_thread()
{
  for (int i = 1; i <= item_total; ++i)
  {
    //std::this_thread::sleep_for(t);
    std::cout << "生产者生产第" << i  << "个产品" << std::endl;
    produce_item(i);
  }
}

void Consumer_thread()
{
  static int cnt = 0;
  while (1)
  {
    //std::this_thread::sleep_for(t);
    int item = consume_item();
    std::cout << "消费者消费第" << item << "个产品" << std::endl;

    if (++cnt == item_total)
      break;
  }
}

int main()
{
  std::thread producer(Producer_thread); // 创建生产者线程.
  std::thread consumer(Consumer_thread); // 创建消费之线程.
  producer.join();
  consumer.join();
}      

二、单生产者-多消费者模型

           与单生产者和单消费者模型不同的是,单生产者-多消费者模型中可以允许多个消费者同时从产品库中取走产品。所以除了保护产品库在多个读写线程下互斥之外,还需要维护消费者取走产品的计数器,代码如下:

#include <iostream>
#include <condition_variable>
#include <mutex>
#include <thread>
#include <vector>
static const int repository_size = 10;//循环队列的大小
static const int item_total = 20;//要生产的产品数目

std::mutex mtx;//互斥量,保护产品缓冲区
std::mutex mtx_counter;//互斥量,保护产品计数器

std::condition_variable repo_not_full;//条件变量指示产品缓冲区不满
std::condition_variable repo_not_empty;//条件变量指示产品缓冲区不为空,就是缓冲区有产品

int item_buffer[repository_size];//产品缓冲区,这里使用了一个循环队列

static std::size_t read_position = 0;//消费者读取产品的位置
static std::size_t write_position = 0;//生产者写入产品的位置

static std::size_t item_counter = 0;//消费者消费产品计数器

std::chrono::seconds t(1);//a  new feature of c++ 11 standard

void produce_item(int i)
{
  std::unique_lock<std::mutex> lck(mtx);
  //item buffer is full, just wait here.
  while (((write_position + 1) % repository_size) == read_position)
  {
    std::cout << "Producer is waiting for an empty slot..." << std::endl;
    repo_not_full.wait(lck);// 生产者等待"产品库缓冲区不为满"这一条件发生.
  }                            //当缓冲区满了之后我们就不能添加产品了

  item_buffer[write_position] = i;//写入产品
  write_position++;

  if (write_position == repository_size)//写入的位置如果在队列最后则重新设置
  {
    write_position = 0;
  }

  repo_not_empty.notify_all();//通知消费者产品库不为空

  lck.unlock();//解锁
}

int consume_item()
{
  int data;
  std::unique_lock<std::mutex> lck(mtx);
  // item buffer is empty, just wait here.
  while (write_position == read_position)
  {
    std::cout << "Consumer is waiting for items..." << std::endl;
    repo_not_empty.wait(lck);// 消费者等待"产品库缓冲区不为空"这一条件发生.
  }

  data = item_buffer[read_position];//读取产品
  read_position++;

  if (read_position >= repository_size)
  {
    read_position = 0;
  }

  repo_not_full.notify_all();//通知产品库不满
  lck.unlock();

  return data;
}

void Producer_thread()
{
  for (int i = 1; i <= item_total; ++i)
  {
    //std::this_thread::sleep_for(t);
    std::cout << "生产者生产第" << i << "个产品" << std::endl;
    produce_item(i);
  }
}

void Consumer_thread()
{
  bool read_to_exit = false;
  while (1)
  {
    std::this_thread::sleep_for(t);
    std::unique_lock<std::mutex> lck(mtx_counter);
    if (item_counter < item_total)
    {
      int item = consume_item();
      ++item_counter;
      std::cout << "消费者线程" << std::this_thread::get_id()
        << "消费第" << item << "个产品" << std::endl;
    }
    else
    {
      read_to_exit = true;
    }
    if (read_to_exit == true)
      break;
  }

  std::cout << "Consumer thread " << std::this_thread::get_id()
    << " is exiting..." << std::endl;

}

int main()
{
  std::thread producer(Producer_thread); // 创建生产者线程.
  std::vector<std::thread> thread_vector;
  for (int i = 0; i != 5; ++i)
  {
    thread_vector.push_back(std::thread(Consumer_thread));// 创建消费者线程.
  }
  
  producer.join();
  for (auto &thr : thread_vector)
  {
    thr.join();
  }

}      

三、多生产者-单消费者模型

          与单生产者和单消费者模型不同的是,多生产者-单消费者模型中可以允许多个生产者同时向产品库中放入产品。所以除了保护产品库在多个读写线程下互斥之外,还需要维护生产者放入产品的计数器,代码如下:

#include <iostream>
#include <condition_variable>
#include <mutex>
#include <thread>
#include <vector>

static const int repository_size = 10;//循环队列的大小
static const int item_total = 20;//要生产的产品数目

std::mutex mtx;//互斥量,保护产品缓冲区
std::mutex mtx_counter;

std::condition_variable repo_not_full;//条件变量指示产品缓冲区不满
std::condition_variable repo_not_empty;//条件变量指示产品缓冲区不为空,就是缓冲区有产品

int item_buffer[repository_size];//产品缓冲区,这里使用了一个循环队列

static std::size_t read_position = 0;//消费者读取产品的位置
static std::size_t write_position = 0;//生产者写入产品的位置

static std::size_t item_counter = 0;//计数器

std::chrono::seconds t(1);//a  new feature of c++ 11 standard

void produce_item(int i)
{
  std::unique_lock<std::mutex> lck(mtx);
  // item buffer is full, just wait here.
  while (((write_position + 1) % repository_size) == read_position)
  {
    std::cout << "Producer is waiting for an empty slot..." << std::endl;
    repo_not_full.wait(lck);// 生产者等待"产品库缓冲区不为满"这一条件发生.
  }                            //当缓冲区满了之后我们就不能添加产品了

  item_buffer[write_position] = i;//写入产品
  write_position++;

  if (write_position == repository_size)//写入的位置如果在队列最后则重新设置
  {
    write_position = 0;
  }

  repo_not_empty.notify_all();//通知消费者产品库不为空

  lck.unlock();//解锁
}

int consume_item()
{
  int data;
  std::unique_lock<std::mutex> lck(mtx);
  // item buffer is empty, just wait here.
  while (write_position == read_position)
  {
    std::cout << "Consumer is waiting for items..." << std::endl;
    repo_not_empty.wait(lck);// 消费者等待"产品库缓冲区不为空"这一条件发生.
  }

  data = item_buffer[read_position];//读取产品
  read_position++;

  if (read_position >= repository_size)
  {
    read_position = 0;
  }

  repo_not_full.notify_all();//通知产品库不满
  lck.unlock();

  return data;
}

void Producer_thread()
{
  bool read_to_exit = false;
  while (1)
  {
    std::unique_lock<std::mutex> lck(mtx_counter);
    if (item_counter < item_total)
    {
      ++item_counter;
      produce_item(item_counter);
      std::cout << "生产者线程 " << std::this_thread::get_id()
        << "生产第  " << item_counter << "个产品" << std::endl;
    }
    else
    {
      read_to_exit = true;
    }

    if (read_to_exit == true)
      break;
  }

  std::cout << "Producer thread " << std::this_thread::get_id()
    << " is exiting..." << std::endl;

}

void Consumer_thread()
{
  static int cnt = 0;
  while (1)
  {
    std::this_thread::sleep_for(t);
    int item = consume_item();
    std::cout << "消费者消费第" << item << "个产品" << std::endl;

    if (++cnt == item_total)
      break;
  }
}

int main()
{
  std::vector<std::thread> thread_vector;
  for (int i = 0; i != 5; ++i)
  {
    thread_vector.push_back(std::thread(Producer_thread));// 创建消费者线程.
  }

  std::thread consumer(Consumer_thread); // 创建消费之线程.

  for (auto &thr : thread_vector)
  {
    thr.join();
  }

  consumer.join();
}      

三、多生产者-多消费者模型

          该模型可以说是前面两种模型的综合,程序需要维护两个计数器,分别是生产者已生产产品的数目和消费者已取走产品的数目。另外也需要保护产品库在多个生产者和多个消费者互斥地访问。

#include <iostream>
#include <condition_variable>
#include <mutex>
#include <thread>
#include <vector>

static const int repository_size = 10;//循环队列的大小
static const int item_total = 20;//要生产的产品数目

std::mutex mtx;//互斥量,保护产品缓冲区
std::mutex producer_count_mtx;
std::mutex consumer_count_mtx;

std::condition_variable repo_not_full;//条件变量指示产品缓冲区不满
std::condition_variable repo_not_empty;//条件变量指示产品缓冲区不为空,就是缓冲区有产品

int item_buffer[repository_size];//产品缓冲区,这里使用了一个循环队列

static std::size_t read_position = 0;//消费者读取产品的位置
static std::size_t write_position = 0;//生产者写入产品的位置

static size_t produced_item_counter = 0;
static size_t consumed_item_counter = 0;

std::chrono::seconds t(1);//a  new feature of c++ 11 standard
std::chrono::microseconds t1(1000);

void produce_item(int i)
{
  std::unique_lock<std::mutex> lck(mtx);
  // item buffer is full, just wait here.
  while (((write_position + 1) % repository_size) == read_position)
  {
    std::cout << "Producer is waiting for an empty slot..." << std::endl;
    repo_not_full.wait(lck);// 生产者等待"产品库缓冲区不为满"这一条件发生.
  }                            //当缓冲区满了之后我们就不能添加产品了

  item_buffer[write_position] = i;//写入产品
  write_position++;

  if (write_position == repository_size)//写入的位置如果在队列最后则重新设置
  {
    write_position = 0;
  }

  repo_not_empty.notify_all();//通知消费者产品库不为空

  lck.unlock();//解锁
}

int consume_item()
{
  int data;
  std::unique_lock<std::mutex> lck(mtx);
  // item buffer is empty, just wait here.
  while (write_position == read_position)
  {
    std::cout << "Consumer is waiting for items..." << std::endl;
    repo_not_empty.wait(lck);// 消费者等待"产品库缓冲区不为空"这一条件发生.
  }

  data = item_buffer[read_position];//读取产品
  read_position++;

  if (read_position >= repository_size)
  {
    read_position = 0;
  }

  repo_not_full.notify_all();//通知产品库不满
  lck.unlock();

  return data;
}

void Producer_thread()
{
  bool ready_to_exit = false;
  while (1)
  {
    //std::this_thread::sleep_for(t);
    std::unique_lock<std::mutex> lock(producer_count_mtx);
    if (produced_item_counter < item_total)
    {
      ++produced_item_counter;
      produce_item(produced_item_counter);
      std::cout << "生产者线程 " << std::this_thread::get_id()
        << "生产第  " << produced_item_counter << "个产品" << std::endl;
    }
    else
    {
      ready_to_exit = true;
    }

    lock.unlock();

    if (ready_to_exit == true)
    {
      break;
    }
  }

  std::cout << "Producer thread " << std::this_thread::get_id()
    << " is exiting..." << std::endl;
}

void Consumer_thread()
{
  bool read_to_exit = false;
  while (1)
  {
    std::this_thread::sleep_for(t1);
    std::unique_lock<std::mutex> lck(consumer_count_mtx);
    if (consumed_item_counter < item_total)
    {
      int item = consume_item();
      ++consumed_item_counter;
      std::cout << "消费者线程" << std::this_thread::get_id()
        << "消费第" << item << "个产品" << std::endl;
    }
    else
    {
      read_to_exit = true;
    }

    if (read_to_exit == true)
    {
      break;
    }
  }

  std::cout << "Consumer thread " << std::this_thread::get_id()
    << " is exiting..." << std::endl;
}

int main()
{
  std::vector<std::thread> thread_vector1;
  std::vector<std::thread> thread_vector2;
  for (int i = 0; i != 5; ++i)
  {
    thread_vector1.push_back(std::thread(Producer_thread));// 创建生产者线程.
    thread_vector2.push_back(std::thread(Consumer_thread));// 创建消费者线程.

  }

  for (auto &thr1 : thread_vector1)
  {
    thr1.join();
  }

  for (auto &thr2 : thread_vector2)
  {
    thr2.join();
  }
}      

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