Category : multiprocessing

I written a piece of code that is multiprocessing. Connecting to cassandra where I am running 32 queries to fetch data. I have tried to parralelize the fetch using the multiprocessing library in python. The code looks like this. from cassandra.cluster import Cluster cluster = Cluster([‘xyz’]) session = cluster.connect() query = session.prepare(‘SELECT stuff’) session.default_timeout = ..

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I wrote a Python program which I want to parallelize using multiprocessing.Pool when calling the program (MyProgram.__call__()). The expected output is a list of dictionaries (dicts) with the same length as the input list images. However, when I test it with input with length 60 using multiprocessing.Pool of 20 cpus, I got an output with ..

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I have a list with 12 items (each of which is a sample), and I need to analyse each of these samples using a function. The function is a wrapper for an external pipeline which needs four threads to run. Some pseudocode: def my_wrapper(sample, other_arg): cmd = ‘external_pipeline –threads 4 –sample {0} –other {1}’.format(sample, other_arg) ..

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