我有一个类,它使用互斥锁和两个条件变量来实现线程生产者/消费者系统以进行同步。当有项目要使用时,生产者向消费者线程发出信号,消费者在消费者消费项目时向生产者线程发出信号。线程继续生成和消耗,直到析构函数通过设置布尔变量请求它们退出。因为任何一个线程可能正在等待一个条件变量,我必须对quit变量进行第二次检查,这感觉错误和杂乱......
我已将问题简化为以下内容(使用g ++ 4.7处理GNU / Linux)示例:
// C++11and Boost required.
#include <cstdlib> // std::rand()
#include <cassert>
#include <boost/circular_buffer.hpp>
#include <atomic>
#include <chrono>
#include <condition_variable>
#include <iostream>
#include <mutex>
#include <thread>
#include <vector>
// Creates a single producer and single consumer thread.
class prosumer
{
public:
// Create the circular buffer and start the producer and consumer thread.
prosumer()
: quit_{ false }
, buffer_{ circular_buffer_capacity }
, producer_{ &prosumer::producer_func, this }
, consumer_{ &prosumer::consumer_func, this }
{}
// Set the quit flag and wait for the threads to exit.
~prosumer()
{
quit_ = true;
producer_.join();
consumer_.join();
}
private:
// Thread entry point for the producer.
void producer_func()
{
// Value to add to the ringbuffer to simulate data.
int counter = 0;
while ( quit_ == false )
{
// Simulate the production of some data.
std::vector< int > produced_items;
const auto items_to_produce = std::rand() % circular_buffer_capacity;
for ( int i = 0; i < items_to_produce; ++i )
{
produced_items.push_back( ++counter );
}
// Get a lock on the circular buffer.
std::unique_lock< std::mutex > lock( buffer_lock_ );
// Wait for the buffer to be emptied or the quit flag to be set.
buffer_is_empty_.wait( lock, [this]()
{
return buffer_.empty() == true || quit_ != false;
} );
// Check if the thread was requested to quit.
if ( quit_ != false )
{
// Don't let the consumer deadlock.
buffer_has_data_.notify_one();
break;
}
// The buffer is locked by this thread. Put the data into it.
buffer_.insert( std::end( buffer_ ), std::begin( produced_items ), std::end( produced_items ) );
// Notify the consumer that the buffer has some data in it.
buffer_has_data_.notify_one();
}
std::cout << "producer thread quit\n";
}
// Thread entry for the consumer.
void consumer_func()
{
int counter_check = 0;
while ( quit_ == false )
{
std::unique_lock< std::mutex > lock( buffer_lock_ );
// Wait for the buffer to have some data before trying to read from it.
buffer_has_data_.wait( lock, [this]()
{
return buffer_.empty() == false || quit_ != false;
} );
// Check if the thread was requested to quit.
if ( quit_ != false )
{
// Don't let the producer deadlock.
buffer_is_empty_.notify_one();
break;
}
// The buffer is locked by this thread. Simulate consuming the data.
for ( auto i : buffer_ ) assert( i == ++counter_check );
buffer_.clear();
// Notify the producer thread that the buffer is empty.
buffer_is_empty_.notify_one();
}
std::cout << "consumer thread quit\n";
}
// How many items the circular buffer can hold.
static const int circular_buffer_capacity = 64;
// Flag set in the destructor to signal the threads to stop.
std::atomic_bool quit_;
// Circular buffer to hold items and a mutex for synchronization.
std::mutex buffer_lock_;
boost::circular_buffer< int > buffer_;
// Condition variables for the threads to signal each other.
std::condition_variable buffer_has_data_;
std::condition_variable buffer_is_empty_;
std::thread producer_;
std::thread consumer_;
};
int main( int argc, char **argv )
{
(void)argc; (void) argv;
prosumer test;
// Let the prosumer work for a little while.
std::this_thread::sleep_for( std::chrono::seconds( 3 ) );
return EXIT_SUCCESS;
}
如果查看producer_func和consumer_func线程函数,您可以看到它们循环,直到由prosumer析构函数设置quit变量,但是在锁定循环缓冲区后它们也会再次检查quit变量。如果设置了quit变量,它们会相互发出信号以防止死锁。
我的另一个想法是从析构函数调用条件变量上的notify_one(),这会是一个更好的解决方案吗?
有更好的方法吗?
更新1:我忘了提到在这种情况下,当请求线程退出时,消费者不需要消耗循环缓冲区中的任何剩余数据,如果生产者产生更多的数据也没关系。只要它们都退出并且没有死锁,一切都会很好。
答案 0 :(得分:3)
在我看来,在调用join之前,在析构函数中的两个条件变量上调用notify_one(或者更确切地说,如果你要将缓冲区扩展到多个生成器/使用者),由于以下几个原因:
首先,这与通常使用条件变量的方式相匹配:通过设置quit_,您可以更改生产者/消费者线程感兴趣的状态并等待,因此您应该通知它们状态更改。
此外,notify_one不应该是一项非常昂贵的操作。
另外,在更现实的应用中,情况可能是在两个元素的产生之间存在延迟;在这种情况下,你可能不想在你的析构函数中阻塞,直到消费者注意到下一个元素入队后它必须立即取消;在示例代码中,就我所见,这种情况并未发生。
答案 1 :(得分:1)
在我看来,有两个功能可以分开:
将它们真正分开是有意义的:“工人”线程只会处理可能意味着“退出”或“do_work”的“消息”。
通过这种方式,您可以创建聚合实际功能的通用“工人”类。 produce
和consume
方法保持干净,worker
类只关心如何继续工作。