Celery and RQ is overengineering for simple task. Take a look at this docs – https://docs.python.org/3/library/concurrent.futures.html Also check example, how to run long-running jobs in background for Flask app – https://stackoverflow.com/a/39008301/5569578
I think there is only one answer to your question, which you have discounted as being ‘way too much work.’ However, I believe that is because you are going about it the wrong way. Let me present steps for adding a conditional breakpoint on Thread ID, which are extremely easy, but not obvious until you … Read more
The following list presents the different types of processes in order of importance (the first process is most important and is killed last): Foreground process Visible process Service process Background process Empty process Note: Android ranks a process at the highest level it can, based upon the importance of the components currently active in the … Read more
To clarify: The application’s main thread is not always the UI thread. For example: If an activity is stopped, the onStop() is invoked, hence the UI thread is taken away from that activity and moved to another activity within the same or a different application. However, it doesn’t mean that this application is no longer … Read more
I’ve discovered that TaskCompletionSource.SetResult(); invokes the code awaiting the task before returning. In my case that result in a deadlock. Yes, I have a blog post documenting this (AFAIK it’s not documented on MSDN). The deadlock happens because of two things: There’s a mixture of async and blocking code (i.e., an async method is calling … Read more
When you use new Thread you’re really creating a new thread every time you execute that. AsyncTask however, uses a static pool of max 128 threads and will reuse an old thread whenever it exists. So, running AsyncTask 10 times in serial will only create one thread that runs the task 10 times instead of … Read more
This is a common use case, and most implementations use TensorFlow’s queues to decouple the preprocessing code from the training code. There is a tutorial on how to use queues, but the main steps are as follows: Define a queue, q, that will buffer the preprocessed data. TensorFlow supports the simple tf.FIFOQueue that produces elements … Read more
You have to join std::threads, just like you have to join pthreads. int main( int argc, char *argv[] ) { std::thread t( doSomeWork ); t.join(); return 0; } UPDATE: This Debian bug report pointed me to the solution: add -pthread to your commandline. This is most probably a workaround until the std::thread code stabilizes and … Read more
RegisterWaitForSingleObject will combine waits onto dedicated waiter threads, each of which can wait on multiple handles (specifically, 63 of them, which is MAXIMUM_WAIT_OBJECTS minus one for a “control” handle). So you should be able to use something like this (warning: untested): public static class WaitHandleExtensions { public static Task AsTask(this WaitHandle handle) { return AsTask(handle, … Read more
Using a ExecutorCompletionService.poll/take, you are receiving the Futures as they finish, in completion order (more or less). Using ExecutorService.invokeAll, you do not have this power; you either block until are all completed, or you specify a timeout after which the incomplete are cancelled. static class SleepingCallable implements Callable<String> { final String name; final long period; … Read more