In this discussion, we will explore an important question in multithreading: how to check if a std::thread is still executing. This knowledge is crucial for effective coordination and monitoring of threads in diverse programming scenarios.
The std::thread class in C lacks a convenient method like timed_join() or joinable() explicitly designed for determining the running status of a thread. The joinable() method is primarily intended for a different purpose, leaving professionals seeking alternative approaches.
Harnessing the power of std::async and std::future, we can effortlessly monitor a thread's status. std::async runs a task on a separate thread, while std::future provides a handle to its results. By employing std::future's wait_for function with a zero timeout, we can ascertain the thread's running status neatly:
auto future = std::async(std::launch::async, [] { std::this_thread::sleep_for(3s); return 8; }); //... auto status = future.wait_for(0ms); if (status == std::future_status::ready) { std::cout << "Thread finished" << std::endl; } else { std::cout << "Thread still running" << std::endl; }
If using std::async and std::future is not feasible, an alternative involves std::promise and std::future. This approach allows us to obtain a future object directly from the thread:
std::promise<bool> p; auto future = p.get_future(); //... p.set_value(true);
Once again, employing wait_for on the future object provides the desired status information.
For simpler requirements, the following approach using an atomic flag may suffice:
std::atomic<bool> done(false); //... done = true;
By accessing the atomic flag, we can determine if the thread has completed its task.
Other solutions include leveraging std::packaged_task, which provides a cleaner integration with std::thread, or utilizing platform-specific mechanisms like Windows APIs on Windows systems.
Choosing the best solution for checking the status of a std::thread depends on the specific requirements and constraints of the application. By understanding these methods, developers can effectively manage multithreaded programs and ensure their desired behavior.
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