multiprocessingPool进程池
import logging
import datetime
import multiprocessing
FORMAT = "%(process)d %(processName)s %(thread)d %(message)s"
logging.basicConfig(level=logging.INFO, format=FORMAT)
def calc(i):
sum = 0
for _ in range(100000000):
sum += 1
logging.info('{}.in function'.format(sum))
return sum
if __name__ == '__main__':
start = datetime.datetime.now()
pool = multiprocessing.Pool(2)
for i in range(5):
pool.apply_async(calc, args=(i, ),
callback=lambda x: logging.info('{}.in callback'.format(x)))
pool.close()
pool.join()
delta = (datetime.datetime.now() - start).total_seconds()
print(delta)
本文题目:multiprocessingPool进程池
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