Comments (2)
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.
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.
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