I have overridden multiprocess.Process (fork of multiprocessing library) like so: When I create normal Process using this class everything works perfectly, including creating logs. Now I want to create a Process Pool of such customized processes but I encountered problem with respawning such processes after they life comes to an end. Here is how I create pool with additional maxtasksperchild=1
Tag: pool
How many processors should be used with multiprocessing.Pool?
I am trying to use multiprocessing.Pool to run my code in parallel. To instantiate Pool, you have to set the number of processes. I am trying to figure out how many I should set for this. I understand this number shouldn’t be more than the number of cores you have but I’ve seen different ways to determine what your system
Plotting the pool map for multi processing Python
How can I run multiple processes pool where I process run1-3 asynchronously, with a multi processing tool in python. I am trying to pass the values (10,2,4),(55,6,8),(9,8,7) for run1,run2,run3 respectively? Answer You just need to use method starmap instead of map, which, according to the documentation: Like map() except that the elements of the iterable are expected to be iterables
Multiprocessing issue on Windows 10
I am trying to collect the size of homepages of a list of sites using multiprocessing. Following is the code : I am having a Windows 10 laptop with Python 3.9 running. I am not using venv. This code goes into a loop – executes 4 times and takes 4 times longer. What is the error here ? Can someone
Python HTTPConnectionPool Failed to establish a new connection: [Errno 11004] getaddrinfo failed
I was wondering if my requests is stopped by the website and I need to set a proxy.I first try to close the http’s connection ,bu I failed.I also try to test my code but now it seems no outputs.Mybe I use a proxy everything will be OK? Here is the code. and the error is the here! By the
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. So, this
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. I like the Pool.map function and would like to use it to calculate functions on that data in parallel. I saw that one can use the Value or Array class to use shared memory data between processes. But when