python - Can I use multiprocessing.Pool in a method of a class?

Question

I am tring to use multiprocessing in my code for better performance.

However, I got an error as follows:

Traceback (most recent call last):
  File "D:EpubBuilderTinyEpub.py", line 49, in <module>
    e.epub2txt()
  File "D:EpubBuilderTinyEpub.py", line 43, in epub2txt
    tempread = self.get_text()
  File "D:EpubBuilderTinyEpub.py", line 29, in get_text
    txtlist = pool.map(self.char2text,charlist)
  File "C:Python34libmultiprocessingpool.py", line 260, in map
    return self._map_async(func, iterable, mapstar, chunksize).get()
  File "C:Python34libmultiprocessingpool.py", line 599, in get
    raise self._value
  File "C:Python34libmultiprocessingpool.py", line 383, in _handle_tasks
    put(task)
  File "C:Python34libmultiprocessingconnection.py", line 206, in send
    self._send_bytes(ForkingPickler.dumps(obj))
  File "C:Python34libmultiprocessing
eduction.py", line 50, in dumps
    cls(buf, protocol).dump(obj)
TypeError: cannot serialize '_io.BufferedReader' object

I have tried it an other way and got this error:

TypeError: cannot serialize '_io.TextIOWrapper' object

My code looks like this:

from multiprocessing import Pool
class Book(object):
    def __init__(self, arg):
        self.namelist = arg
    def format_char(self,char):
        char = char + "a"
        return char
    def format_book(self):
        self.tempread = ""
        charlist = [f.read() for f in self.namelist] #list of char
        with Pool() as pool:
            txtlist = pool.map(self.format_char,charlist)
        self.tempread = "".join(txtlist)
        return self.tempread

if __name__ == '__main__':
    import os
    b = Book([open(f) for f in os.listdir()])
    t = b.format_book()
    print(t)

I think that the error is raised because of not using the Pool in the main function.

Is my conjecture right? And how can I modify my code to fix the error?

Answer 1

The issue is that you've got an unpicklable instance variable (namelist) in the Book instance. Because you're calling pool.map on an instance method, and you're running on Windows, the entire instance needs to be picklable in order for it to be passed to the child process. Book.namelist is a open file object (_io.BufferedReader), which can't be pickled. You can fix this a couple of ways. Based on the example code, it looks like you could just make format_char a top-level function:

def format_char(char):
    char = char + "a"
    return char


class Book(object):
    def __init__(self, arg):
        self.namelist = arg

    def format_book(self):
        self.tempread = ""
        charlist = [f.read() for f in self.namelist] #list of char
        with Pool() as pool:
            txtlist = pool.map(format_char,charlist)
        self.tempread = "".join(txtlist)
        return self.tempread

However, if in reality, you need format_char to be an instance method, you can use __getstate__/__setstate__ to make Book picklable, by removing the namelist argument from the instance before pickling it:

class Book(object):
    def __init__(self, arg):
        self.namelist = arg

    def __getstate__(self):
        """ This is called before pickling. """
        state = self.__dict__.copy()
        del state['namelist']
        return state

    def __setstate__(self, state):
        """ This is called while unpickling. """
        self.__dict__.update(state)

    def format_char(self,char):
        char = char + "a"

    def format_book(self):
        self.tempread = ""
        charlist = [f.read() for f in self.namelist] #list of char
        with Pool() as pool:
            txtlist = pool.map(self.format_char,charlist)
        self.tempread = "".join(txtlist)
        return self.tempread

This would be ok as long as you don't need to access namelist in the child process.