随便发篇文章,测试下百家号的同步功能
multiporcessing.Pool.map(fn, iterable) only accepts marshalable
# 线程池的例子from multiprocessing.dummy import Pool as ThreadPool # python2 from multiprocessing.pool import ThreadPool # python3 def square_number(n): return n ** 2 # function to be mapped over def calculate_parallel(numbers, threads=2): pool = ThreadPool(threads) results = pool.map(square_number, numbers) pool.close() # NOTE close before join pool.join() return results if __name__ == "__main__": numbers = [1, 2, 3, 4, 5] squared_numbers = calculate_parallel(numbers, 4) for n in squared_numbers: print(n)
使用pool的一个陷阱是不太好debug, 爆出的异常往往看不清问题, 需要使用单线程调试之后再去