multiprocessing Pool.imap坏了吗?
我试过在Ubuntu的python2.6包里自带的多进程功能(__version__
显示是0.70a1)和从PyPI下载的最新版本(2.6.2.1)。在这两种情况下,我都不知道怎么正确使用imap——这导致整个解释器对ctrl-C的操作没有反应(不过map用起来没问题)。调试工具pdb显示next()
在wait()
调用上卡住了,所以没有人来唤醒我们。有没有什么提示?提前谢谢。
$ cat /tmp/go3.py
import multiprocessing as mp
print mp.Pool(1).map(abs, range(3))
print list(mp.Pool(1).imap(abs, range(3)))
$ python /tmp/go3.py
[0, 1, 2]
^C^C^C^C^C^\Quit
2 个回答
在我的情况下,我使用了 pool.imap()
,但没有期待返回值,所以它没有正常工作。不过,当我换成 pool.map()
时,一切都正常。问题正如之前的回答所说:没有调用结束处理程序,所以进程在开始之前就被终止了。
解决办法是调用一个结束处理程序,比如 list()
函数。这样做后,它就能正常工作了,因为现在需要把结果交给 list 函数,从而执行了这个进程。简单来说,下面是解释(当然,这只是简化版,暂时就当它是有用的东西):
from multiprocessing import Pool
from shutil import copy
from tqdm import tqdm
filedict = { r"C:\src\file1.txt": r"C:\trg\file1_fixed.txt",
r"C:\src\file2.txt": r"C:\trg\file2_fixed.txt",
r"C:\src\file3.txt": r"C:\trg\file3_fixed.txt",
r"C:\src\file4.txt": r"C:\trg\file4_fixed.txt" }
# target process
def copyfile(srctrg):
copy(srctrg[0],srctrg[1])
return True
# a couple of trial processes for illustration
with Pool(2) as pool:
# works fine with map, but cannot utilize tqdm() since no iterator object is returned
pool.map(copyfile,list(filedict.items()))
# will not work, since no finalizer is called for imap
tqdm(pool.imap(copyfile,list(filedict.items()))) # NOT WORKING
# this works, since the finalization is forced for the process
list(tqdm(pool.imap(copyfile,list(filedict.items()))))
在我的情况下,简单的解决方案是把整个 tqdm(pool.imap(...))
包裹在一个 list()
中,以强制执行。
首先注意到,这段代码是可以正常工作的:
import multiprocessing as mp
import multiprocessing.util as util
pool=mp.Pool(1)
print list(pool.imap(abs, range(3)))
这里的区别在于,pool
在调用 pool.imap()
结束时并不会被清理掉。
相反,
print(list(mp.Pool(1).imap(abs, range(3))))
这段代码会导致 Pool
实例在 imap
调用结束后很快就被清理掉。没有引用的情况下,会调用 Finalizer
(在 Pool
类中称为 self._terminate
)。这会启动一系列命令,逐步关闭任务处理线程、结果处理线程、工作子进程等等。
这一切发生得非常快,以至于在大多数情况下,发送给任务处理器的任务并没有完成。
以下是相关的代码片段:
来自 /usr/lib/python2.6/multiprocessing/pool.py:
class Pool(object):
def __init__(self, processes=None, initializer=None, initargs=()):
...
self._terminate = Finalize(
self, self._terminate_pool,
args=(self._taskqueue, self._inqueue, self._outqueue, self._pool,
self._task_handler, self._result_handler, self._cache),
exitpriority=15
)
来自 /usr/lib/python2.6/multiprocessing/util.py:
class Finalize(object):
'''
Class which supports object finalization using weakrefs
'''
def __init__(self, obj, callback, args=(), kwargs=None, exitpriority=None):
...
if obj is not None:
self._weakref = weakref.ref(obj, self)
这个 weakref.ref(obj,self)
的作用是,当 obj
即将被清理时,会调用 self()
。
我使用了调试命令 util.log_to_stderr(util.SUBDEBUG)
来了解事件的顺序。例如:
import multiprocessing as mp
import multiprocessing.util as util
util.log_to_stderr(util.SUBDEBUG)
print(list(mp.Pool(1).imap(abs, range(3))))
得到的结果是
[DEBUG/MainProcess] created semlock with handle 3077013504
[DEBUG/MainProcess] created semlock with handle 3077009408
[DEBUG/MainProcess] created semlock with handle 3077005312
[DEBUG/MainProcess] created semlock with handle 3077001216
[INFO/PoolWorker-1] child process calling self.run()
[SUBDEBUG/MainProcess] finalizer calling <bound method type._terminate_pool of <class 'multiprocessing.pool.Pool'>> with args (<Queue.Queue instance at 0x9d6e62c>, <multiprocessing.queues.SimpleQueue object at 0x9cf04cc>, <multiprocessing.queues.SimpleQueue object at 0x9d6e40c>, [<Process(PoolWorker-1, started daemon)>], <Thread(Thread-1, started daemon -1217967248)>, <Thread(Thread-2, started daemon -1226359952)>, {0: <multiprocessing.pool.IMapIterator object at 0x9d6eaec>}) and kwargs {}
[DEBUG/MainProcess] finalizing pool
...
并且与此进行比较
import multiprocessing as mp
import multiprocessing.util as util
util.log_to_stderr(util.SUBDEBUG)
pool=mp.Pool(1)
print list(pool.imap(abs, range(3)))
得到的结果是
[DEBUG/MainProcess] created semlock with handle 3078684672
[DEBUG/MainProcess] created semlock with handle 3078680576
[DEBUG/MainProcess] created semlock with handle 3078676480
[DEBUG/MainProcess] created semlock with handle 3078672384
[INFO/PoolWorker-1] child process calling self.run()
[DEBUG/MainProcess] doing set_length()
[0, 1, 2]
[INFO/MainProcess] process shutting down
[DEBUG/MainProcess] running all "atexit" finalizers with priority >= 0
[SUBDEBUG/MainProcess] calling <Finalize object, callback=_terminate_pool, args=(<Queue.Queue instance at 0xb763e60c>, <multiprocessing.queues.SimpleQueue object at 0xb76c94ac>, <multiprocessing.queues.SimpleQueue object at 0xb763e3ec>, [<Process(PoolWorker-1, started daemon)>], <Thread(Thread-1, started daemon -1218274448)>, <Thread(Thread-2, started daemon -1226667152)>, {}), exitprority=15>
...
[DEBUG/MainProcess] finalizing pool