本文介绍了使C ++类成为Monitor(在并发意义上)的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我想确保一次只能有一个线程可以运行我的C ++类的方法.换句话说,使类的行为类似于监视器.

I want to ensure that only one thread at a time can run a method of my C++ class. In other words, make the class behave like a Monitor.

是否有一种模式,模板化的方式来执行此操作,或者可以使用某些Boost类?因为到目前为止,我唯一的想法是添加一个Critical Section成员,并在每种方法的开头获取它,然后在最后释放它(当然使用RAII).但这似乎很多余,我无法在其他课程中重用它.

Is there a pattern, templatized way to do this, or some Boost class I can use? Because my only idea so far is adding a Critical Section member, and acquire it at the beginning of each method and release it at the end (using RAII, of course). But that seems very redundant, and I can't reuse it for some other class.

推荐答案

您可以通过明智地使用operator->和现代c ++来实现此目的,该语法比以前接受的答案提供了更简洁的语法:

You can achieve this with some judicious use of operator-> and modern c++ which gives for much cleaner syntax than the previously accepted answer:

template<class T>
class monitor
{
public:
    template<typename ...Args>
    monitor(Args&&... args) : m_cl(std::forward<Args>(args)...){}

    struct monitor_helper
    {
        monitor_helper(monitor* mon) : m_mon(mon), m_ul(mon->m_lock) {}
        T* operator->() { return &m_mon->m_cl;}
        monitor* m_mon;
        std::unique_lock<std::mutex> m_ul;
    };

    monitor_helper operator->() { return monitor_helper(this); }
    monitor_helper ManuallyLock() { return monitor_helper(this); }
    T& GetThreadUnsafeAccess() { return m_cl; }

private:
    T           m_cl;
    std::mutex  m_lock;
};

这个想法是,您使用箭头运算符访问基础对象,但是返回一个辅助对象,该对象将锁定然后解锁函数调用周围的互斥锁.然后,通过反复应用operator->的语言的魔力,您可以获得对基础对象的引用.

The idea is that you use the arrow operator to access the underlying object, but that returns a helper object which locks and then unlocks the mutex around your function call. Then through the magic of the language repeatedly applying operator-> you get a reference to the underlying object.

用法:

monitor<std::vector<int>> threadSafeVector {5};

threadSafeVector->push_back(0);
threadSafeVector->push_back(1);
threadSafeVector->push_back(2);

// Create a bunch of threads that hammer the vector
std::vector<std::thread> threads;
for(int i=0; i<16; ++i)
{
    threads.push_back(std::thread([&]()
    {
        for(int i=0; i<1024; ++i)
        {
            threadSafeVector->push_back(i);
        }
    }));
}

// You can explicitely take a lock then call multiple functions
// without the overhead of a relock each time. The 'lock handle'
// destructor will unlock the lock correctly. This is necessary
// if you want a chain of logically connected operations
{
    auto lockedHandle = threadSafeVector.ManuallyLock();
    if(!lockedHandle->empty())
    {
        lockedHandle->pop_back();
        lockedHandle->push_back(-3);
    }
}

for(auto& t : threads)
{
    t.join();
}

// And finally access the underlying object in a raw fashion without a lock
// Use with Caution!

std::vector<int>& rawVector = threadSafeVector.GetThreadUnsafeAccess();
rawVector.push_back(555);

// Should be 16393 (5+3+16*1024+1)
std::cout << threadSafeVector->size() << std::endl;

这篇关于使C ++类成为Monitor(在并发意义上)的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

09-03 04:54