DanilZ <[email protected]> added the comment:
After executing a single task inside a process the result is returned with
state=finished raised error.
Error happens when trying to load a big dataset (over 5 GB). Otherwise the same
dataset reduced to a smaller nrows executes and returns from result() without
errors.
with concurrent.futures.ProcessPoolExecutor(max_workers = 1) as executor:
results = executor.submit(pd.read_csv, path)
data = results.result()
----------
components: +2to3 (2.x to 3.x conversion tool) -Library (Lib)
nosy: +DanilZ
title: concurrent.futures.ProcessPoolExecutor and multiprocessing.pool.Pool
fail with super -> concurrent.futures.ProcessPoolExecutor state=finished raised
error
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Python tracker <[email protected]>
<https://bugs.python.org/issue37294>
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