packed_task和async之间的区别是什么 [英] What is the difference between packaged_task and async

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问题描述

在使用C ++ 11的线程模型时,我注意到

  std :: packed_task< int ,int)> task([](int a,int b){return a + b;}); 
auto f = task.get_future();
task(2,3);
std :: cout<< f.get()<< '\\\
';

  auto f = std :: async(std :: launch :: async,
[](int a,int b){return a + b;},2,3)
std :: cout<< f.get()<< '\\\
';

似乎做同样的事情。我明白,如果我用 std :: launch :: deferred 运行 std :: async ,但是在这种情况下是有一个吗?



这两种方法有什么区别,更重要的是,在什么用例中我应该使用一个呢? / p>

解决方案

实际上,刚刚给出的示例显示了如果使用相当长的函数,例如

  //!睡眠一秒钟并返回1 
auto sleep = [](){
std :: this_thread :: sleep_for(std :: chrono :: seconds(1));
return 1;
};



包装任务



A packed_task 无法启动它自己,你必须调用它:

  std :: packaged_task< int()>任务(睡眠); 

auto f = task.get_future();
task(); //调用函数

//你必须等待任务返回。由于任务调用sleep
//你将不得不等待至少1秒钟。
std :: cout<< 你可以看到这之后1秒\\\
;

//但是,f.get()将可用,因为任务已经完成。
std :: cout<< f.get()<< std :: endl;



std :: async



另一方面, std :: async launch :: async 将尝试在不同的线程中运行任务:

  auto f = std :: async异步,睡眠); 
std :: cout<< 你可以立即看到!\\\
;

//但是,未来的值将在睡眠完成后可用
//因此f.get()可以阻止1秒钟。
std :: cout<< f.get()<< 这将在一秒后显示!\\\
;



缺点



请记住,返回的未来有一个特殊的共享状态,它要求 future ::〜future c> blocks:

  std :: async(do_work1); //〜future blocks 
std :: async(do_work2); //〜future blocks

/ * output:(假设do_work *记录他们的进度)
do_work1()开始;
do_work1()stopped;
do_work2()开始;
do_work2()stopped;
* /

所以如果你想真正的异步,你需要保留返回的 future ,或者如果情况改变时您不关心结果:

  {
auto pizza = std :: async(get_pizza);
/ * ... * /
if(need_to_go)
return; //〜future will block
else
eat(pizza.get());有关这方面的更多信息,请参阅Herb Sutter的文章 ://www.open-std.org/jtc1/sc22/wg21/docs/papers/2012/n3451.pdf> async 〜未来 ,以及Scott Meyer的 std :: futures std :: async 不是特殊的



更多差异



使用 std :: async 你不能在一个特定的线程上运行你的任务, std :: packed_task 可以移动到其他线程。

  std :: packaged_task< int(int,int)>任务(...); 
auto f = task.get_future();
std :: thread myThread(std :: move(task),2,3);

std :: cout<< f.get()<< \\\
;

此外,还需要调用 packaged_task 之前调用 f.get(),否则程序将冻结,因为未来将永远不会准备:

  std :: packaged_task< int(int,int)>任务(...); 
auto f = task.get_future();
std :: cout<< f.get()<< \\\
; //哎呀!
task(2,3);



TL; DR



使用 std :: async 如果你想要一些事情做完,并不在乎他们完成后,和 std :: packed_task 如果你想包装的东西,以便将它们移动到其他线程或稍后调用它们。或者,引用基督徒


最后一个 std :: packed_task 实现 std :: async (这就是为什么它可以做 std :: async 例如 std :: thread )。简单地说一个 std :: packed_task 是链接到 std的 std :: function :future std :: async 包装并调用 std :: packaged_task 在不同的线程)。



While working with the threaded model of C++11, I noticed that

std::packaged_task<int(int,int)> task([](int a, int b) { return a + b; });
auto f = task.get_future();
task(2,3);
std::cout << f.get() << '\n';

and

auto f = std::async(std::launch::async, 
    [](int a, int b) { return a + b; }, 2, 3);
std::cout << f.get() << '\n';

seem to do exactly the same thing. I understand that there could be a major difference if I ran std::async with std::launch::deferred, but is there one in this case?

What is the difference between these two approaches, and more importantly, in what use cases should I use one over the other?

解决方案

Actually the example you just gave shows the differences if you use a rather long function, such as

//! sleeps for one second and returns 1
auto sleep = [](){
    std::this_thread::sleep_for(std::chrono::seconds(1));
    return 1;
};

Packaged task

A packaged_task won't start on it's own, you have to invoke it:

std::packaged_task<int()> task(sleep);

auto f = task.get_future();
task(); // invoke the function

// You have to wait until task returns. Since task calls sleep
// you will have to wait at least 1 second.
std::cout << "You can see this after 1 second\n";

// However, f.get() will be available, since task has already finished.
std::cout << f.get() << std::endl;

std::async

On the other hand, std::async with launch::async will try to run the task in a different thread:

auto f = std::async(std::launch::async, sleep);
std::cout << "You can see this immediately!\n";

// However, the value of the future will be available after sleep has finished
// so f.get() can block up to 1 second.
std::cout << f.get() << "This will be shown after a second!\n";

Drawback

But before you try to use async for everything, keep in mind that the returned future has a special shared state, which demands that future::~future blocks:

std::async(do_work1); // ~future blocks
std::async(do_work2); // ~future blocks

/* output: (assuming that do_work* log their progress)
    do_work1() started;
    do_work1() stopped;
    do_work2() started;
    do_work2() stopped;
*/

So if you want real asynchronous you need to keep the returned future, or if you don't care for the result if the circumstances change:

{
    auto pizza = std::async(get_pizza);
    /* ... */
    if(need_to_go)
        return;          // ~future will block
    else
       eat(pizza.get());
}   

For more information on this, see Herb Sutter's article async and ~future, which describes the problem, and Scott Meyer's std::futures from std::async aren't special, which describes the insights.

Further differences

By using std::async you cannot run your task on a specific thread anymore, where std::packaged_task can be moved to other threads.

std::packaged_task<int(int,int)> task(...);
auto f = task.get_future();
std::thread myThread(std::move(task),2,3);

std::cout << f.get() << "\n";

Also, a packaged_task needs to be invoked before you call f.get(), otherwise you program will freeze as the future will never become ready:

std::packaged_task<int(int,int)> task(...);
auto f = task.get_future();
std::cout << f.get() << "\n"; // oops!
task(2,3);

TL;DR

Use std::async if you want some things done and don't really care when they're done, and std::packaged_task if you want to wrap up things in order to move them to other threads or call them later. Or, to quote Christian:

In the end a std::packaged_task is just a lower level feature for implementing std::async (which is why it can do more than std::async if used together with other lower level stuff, like std::thread). Simply spoken a std::packaged_task is a std::function linked to a std::future and std::async wraps and calls a std::packaged_task (possibly in a different thread).

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