Node.js and MongoDB, reusing the DB object
I’m new to both Node.js and MongoDB, but I’ve managed to put some parts together from SO and the documentation for mongo.
pool
Can’t pickle when using multiprocessing Pool.map()
I’m trying to use multiprocessing‘s Pool.map() function to divide out work simultaneously. When I use the following code, it works fine:
Keyboard Interrupts with python’s multiprocessing Pool
How can I handle KeyboardInterrupt events with python’s multiprocessing Pools? Here is a simple example:
Python Process Pool non-daemonic?
Would it be possible to create a python Pool that is non-daemonic? I want a pool to be able to call a function that has another pool inside.
Combine Pool.map with shared memory Array in Python multiprocessing
I have a very large (read only) array of data that I want to be processed by multiple processes in parallel.
Can I use a multiprocessing Queue in a function called by Pool.imap?
I’m using python 2.7, and trying to run some CPU heavy tasks in their own processes. I would like to be able to send messages back to the parent process to keep it informed of the current status of the process. The multiprocessing Queue seems perfect for this but I can’t figure out how to get it work.
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 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.
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
Passing multiple parameters to pool.map() function in Python
I need some way to use a function within pool.map() that accepts more than one parameter. As per my understanding, the target function of pool.map() can only have one iterable as a parameter but is there a way that I can pass other parameters in as well? In this case, I need to pass in … Read more