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python - 如何在 multiprocessing.Process 中传递未 pickle 的对象作为参数?

转载 作者:行者123 更新时间:2023-12-01 00:41:02 27 4
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我正在解封一个对象并作为 process 的参数之一传递。没有输出。

我想知道这种取消pickle并将对象作为参数传递的方法是否会导致多处理错误。有什么办法可以解决这个问题?

from multiprocessing import Process, Queue
def func(arg1, arg2,q):
df_temp = arg1[arg1['col'].isin(arg2)]
q.put(df_temp)

if __name__ == '__main__':
import pickle
import pandas as pd
arg1= pickle.load(open('paths.p','rb'))
arg2= pd.Series(pd.date_range(end = 'some_Date', periods=12,freq = 'MS')).dt.to_pydatetime()
arg2=[i.date() for i in arg2]
q = Queue()
p =Process(target=func, args=(arg1,arg2,q))
p.start()
p.join()
while not q.empty():
w=q.get()

最佳答案

您由于其他原因陷入僵局。

By default if a process is not the creator of the queue then on exit it will attempt to join the queue’s background thread. The process can call cancel_join_thread() to make join_thread() do nothing. docs

您的Process不会退出,因为它正在加入来自 multiprocessing.Queue 的供给线程,一旦您 queue.put() 就会开始第一次。您需要queue.get()在您加入该流程之前在您的 parent 中。

Warning: As mentioned above, if a child process has put items on a queue (and it has not used JoinableQueue.cancel_join_thread), then that process will not terminate until all buffered items have been flushed to the pipe. This means that if you try joining that process you may get a deadlock unless you are sure that all items which have been put on the queue have been consumed. Similarly, if the child process is non-daemonic then the parent process may hang on exit when it tries to join all its non-daemonic children. docs

也不要使用while not q.empty() ,这是一种反模式,一旦有多个消费者就会导致死锁。使用哨兵值来通知消费者没有更多商品即将到来。有关更多信息,here .

关于python - 如何在 multiprocessing.Process 中传递未 pickle 的对象作为参数?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57347812/

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