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ManofWax avatar ManofWax commented on July 22, 2024

I did some further testing and it seems the issue happens only when flush_all is called from the same pymemcache Client used for other calls.

This code works fine:

from multiprocessing import Pool
from pymemcache.client.base import Client

client_task = Client('localhost')
def f(x):
    return client_task.add("foo", 42, noreply=False)

if __name__ == "__main__":
    client = Client('localhost')
    client.flush_all(noreply=False)
    with Pool(5) as p:
        print(p.map(f, [1, 2, 3]))

from pymemcache.

jogo avatar jogo commented on July 22, 2024

The default client isn't thread/multiprocessing safe, instead you should try this https://pymemcache.readthedocs.io/en/latest/getting_started.html#using-a-client-pool

Hope that helps, if not please re-open this ticket.

from pymemcache.

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