Exception thrown in multiprocessing Pool not detected
It seems that when an exception is raised from a multiprocessing.Pool process, there is no stack trace or any other indication that it has failed. Example:
multiprocessing
multiprocessing.Pool() slower than just using ordinary functions
(This question is about how to make multiprocessing.Pool() run code faster. I finally solved it, and the final solution can be found at the bottom of the post.)
How to do multiprocessing in FastAPI
While serving a FastAPI request, I have a CPU-bound task to do on every element of a list. I’d like to do this processing on multiple CPU cores.
Python selenium multiprocessing
I’ve written a script in python in combination with selenium to scrape the links of different posts from its landing page and finally get the title of each post by tracking the url leading to its inner page. Although the content I parsed here are static ones, I used selenium to see how it works in multiprocessing.
Multiprocessing Bomb
I was working the following example from Doug Hellmann tutorial on multiprocessing:
How do you pass a Queue reference to a function managed by pool.map_async()?
I want a long-running process to return its progress over a Queue (or something similar) which I will feed to a progress bar dialog. I also need the result when the process is completed. A test example here fails with a RuntimeError: Queue objects should only be shared between processes through inheritance.
Why can I pass an instance method to multiprocessing.Process, but not a multiprocessing.Pool?
I am trying to write an application that applies a function concurrently with a multiprocessing.Pool. I would like this function to be an instance method (so I can define it differently in different subclasses). This doesn’t seem to be possible; as I have learned elsewhere, apparently bound methods can’t be pickled. So why does starting a multiprocessing.Process with a bound method as a target work? The following code:
Accessing an attribute of a multiprocessing Proxy of a class
I have a class that I want to share in a read-only fashion with children processes in a pool, so I prepared a proxy of a class but it didn’t work. The following is a simplified example of my problem.
yet another confusion with multiprocessing error, ‘module’ object has no attribute ‘f’
I know this has been answered before, but it seems that executing the script directly “python filename.py” does not work. I have Python 2.6.2 on SuSE Linux.
Python Multiprocess Pool. How to exit the script when one of the worker process determines no more work needs to be done?
mp.set_start_method('spawn') total_count = Counter(0) pool = mp.Pool(initializer=init, initargs=(total_count,), processes=num_proc) pool.map(part_crack_helper, product(seed_str, repeat=4)) pool.close() pool.join() So I have a pool of worker process that does some work. It just needs to find one solution. Therefore, when one of the worker processes finds the solution, I want to stop everything. One way I thought of was just … Read more