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python2.7
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multiprocessing
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pool.py
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# # Module providing the `Pool` class for managing a process pool # # multiprocessing/pool.py # # Copyright (c) 2006-2008, R Oudkerk # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # 3. Neither the name of author nor the names of any contributors may be # used to endorse or promote products derived from this software # without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF # SUCH DAMAGE. # __all__ = ['Pool'] # # Imports # import threading import Queue import itertools import collections import time from multiprocessing import Process, cpu_count, TimeoutError from multiprocessing.util import Finalize, debug # # Constants representing the state of a pool # RUN = 0 CLOSE = 1 TERMINATE = 2 # # Miscellaneous # job_counter = itertools.count() def mapstar(args): return map(*args) # # Code run by worker processes # class MaybeEncodingError(Exception): """Wraps possible unpickleable errors, so they can be safely sent through the socket.""" def __init__(self, exc, value): self.exc = repr(exc) self.value = repr(value) super(MaybeEncodingError, self).__init__(self.exc, self.value) def __str__(self): return "Error sending result: '%s'. Reason: '%s'" % (self.value, self.exc) def __repr__(self): return "<MaybeEncodingError: %s>" % str(self) def worker(inqueue, outqueue, initializer=None, initargs=(), maxtasks=None): assert maxtasks is None or (type(maxtasks) in (int, long) and maxtasks > 0) put = outqueue.put get = inqueue.get if hasattr(inqueue, '_writer'): inqueue._writer.close() outqueue._reader.close() if initializer is not None: initializer(*initargs) completed = 0 while maxtasks is None or (maxtasks and completed < maxtasks): try: task = get() except (EOFError, IOError): debug('worker got EOFError or IOError -- exiting') break if task is None: debug('worker got sentinel -- exiting') break job, i, func, args, kwds = task try: result = (True, func(*args, **kwds)) except Exception, e: result = (False, e) try: put((job, i, result)) except Exception as e: wrapped = MaybeEncodingError(e, result[1]) debug("Possible encoding error while sending result: %s" % ( wrapped)) put((job, i, (False, wrapped))) task = job = result = func = args = kwds = None completed += 1 debug('worker exiting after %d tasks' % completed) # # Class representing a process pool # class Pool(object): ''' Class which supports an async version of the `apply()` builtin ''' Process = Process def __init__(self, processes=None, initializer=None, initargs=(), maxtasksperchild=None): self._setup_queues() self._taskqueue = Queue.Queue() self._cache = {} self._state = RUN self._maxtasksperchild = maxtasksperchild self._initializer = initializer self._initargs = initargs if processes is None: try: processes = cpu_count() except NotImplementedError: processes = 1 if processes < 1: raise ValueError("Number of processes must be at least 1") if initializer is not None and not hasattr(initializer, '__call__'): raise TypeError('initializer must be a callable') self._processes = processes self._pool = [] self._repopulate_pool() self._worker_handler = threading.Thread( target=Pool._handle_workers, args=(self, ) ) self._worker_handler.daemon = True self._worker_handler._state = RUN self._worker_handler.start() self._task_handler = threading.Thread( target=Pool._handle_tasks, args=(self._taskqueue, self._quick_put, self._outqueue, self._pool, self._cache) ) self._task_handler.daemon = True self._task_handler._state = RUN self._task_handler.start() self._result_handler = threading.Thread( target=Pool._handle_results, args=(self._outqueue, self._quick_get, self._cache) ) self._result_handler.daemon = True self._result_handler._state = RUN self._result_handler.start() self._terminate = Finalize( self, self._terminate_pool, args=(self._taskqueue, self._inqueue, self._outqueue, self._pool, self._worker_handler, self._task_handler, self._result_handler, self._cache), exitpriority=15 ) def _join_exited_workers(self): """Cleanup after any worker processes which have exited due to reaching their specified lifetime. Returns True if any workers were cleaned up. """ cleaned = False for i in reversed(range(len(self._pool))): worker = self._pool[i] if worker.exitcode is not None: # worker exited debug('cleaning up worker %d' % i) worker.join() cleaned = True del self._pool[i] return cleaned def _repopulate_pool(self): """Bring the number of pool processes up to the specified number, for use after reaping workers which have exited. """ for i in range(self._processes - len(self._pool)): w = self.Process(target=worker, args=(self._inqueue, self._outqueue, self._initializer, self._initargs, self._maxtasksperchild) ) self._pool.append(w) w.name = w.name.replace('Process', 'PoolWorker') w.daemon = True w.start() debug('added worker') def _maintain_pool(self): """Clean up any exited workers and start replacements for them. """ if self._join_exited_workers(): self._repopulate_pool() def _setup_queues(self): from .queues import SimpleQueue self._inqueue = SimpleQueue() self._outqueue = SimpleQueue() self._quick_put = self._inqueue._writer.send self._quick_get = self._outqueue._reader.recv def apply(self, func, args=(), kwds={}): ''' Equivalent of `apply()` builtin ''' assert self._state == RUN return self.apply_async(func, args, kwds).get() def map(self, func, iterable, chunksize=None): ''' Equivalent of `map()` builtin ''' assert self._state == RUN return self.map_async(func, iterable, chunksize).get() def imap(self, func, iterable, chunksize=1): ''' Equivalent of `itertools.imap()` -- can be MUCH slower than `Pool.map()` ''' assert self._state == RUN if chunksize == 1: result = IMapIterator(self._cache) self._taskqueue.put((((result._job, i, func, (x,), {}) for i, x in enumerate(iterable)), result._set_length)) return result else: assert chunksize > 1 task_batches = Pool._get_tasks(func, iterable, chunksize) result = IMapIterator(self._cache) self._taskqueue.put((((result._job, i, mapstar, (x,), {}) for i, x in enumerate(task_batches)), result._set_length)) return (item for chunk in result for item in chunk) def imap_unordered(self, func, iterable, chunksize=1): ''' Like `imap()` method but ordering of results is arbitrary ''' assert self._state == RUN if chunksize == 1: result = IMapUnorderedIterator(self._cache) self._taskqueue.put((((result._job, i, func, (x,), {}) for i, x in enumerate(iterable)), result._set_length)) return result else: assert chunksize > 1 task_batches = Pool._get_tasks(func, iterable, chunksize) result = IMapUnorderedIterator(self._cache) self._taskqueue.put((((result._job, i, mapstar, (x,), {}) for i, x in enumerate(task_batches)), result._set_length)) return (item for chunk in result for item in chunk) def apply_async(self, func, args=(), kwds={}, callback=None): ''' Asynchronous equivalent of `apply()` builtin ''' assert self._state == RUN result = ApplyResult(self._cache, callback) self._taskqueue.put(([(result._job, None, func, args, kwds)], None)) return result def map_async(self, func, iterable, chunksize=None, callback=None): ''' Asynchronous equivalent of `map()` builtin ''' assert self._state == RUN if not hasattr(iterable, '__len__'): iterable = list(iterable) if chunksize is None: chunksize, extra = divmod(len(iterable), len(self._pool) * 4) if extra: chunksize += 1 if len(iterable) == 0: chunksize = 0 task_batches = Pool._get_tasks(func, iterable, chunksize) result = MapResult(self._cache, chunksize, len(iterable), callback) self._taskqueue.put((((result._job, i, mapstar, (x,), {}) for i, x in enumerate(task_batches)), None)) return result @staticmethod def _handle_workers(pool): thread = threading.current_thread() # Keep maintaining workers until the cache gets drained, unless the pool # is terminated. while thread._state == RUN or (pool._cache and thread._state != TERMINATE): pool._maintain_pool() time.sleep(0.1) # send sentinel to stop workers pool._taskqueue.put(None) debug('worker handler exiting') @staticmethod def _handle_tasks(taskqueue, put, outqueue, pool, cache): thread = threading.current_thread() for taskseq, set_length in iter(taskqueue.get, None): task = None i = -1 try: for i, task in enumerate(taskseq): if thread._state: debug('task handler found thread._state != RUN') break try: put(task) except Exception as e: job, ind = task[:2] try: cache[job]._set(ind, (False, e)) except KeyError: pass else: if set_length: debug('doing set_length()') set_length(i+1) continue break except Exception as ex: job, ind = task[:2] if task else (0, 0) if job in cache: cache[job]._set(ind + 1, (False, ex)) if set_length: debug('doing set_length()') set_length(i+1) finally: task = taskseq = job = None else: debug('task handler got sentinel') try: # tell result handler to finish when cache is empty debug('task handler sending sentinel to result handler') outqueue.put(None) # tell workers there is no more work debug('task handler sending sentinel to workers') for p in pool: put(None) except IOError: debug('task handler got IOError when sending sentinels') debug('task handler exiting') @staticmethod def _handle_results(outqueue, get, cache): thread = threading.current_thread() while 1: try: task = get() except (IOError, EOFError): debug('result handler got EOFError/IOError -- exiting') return if thread._state: assert thread._state == TERMINATE debug('result handler found thread._state=TERMINATE') break if task is None: debug('result handler got sentinel') break job, i, obj = task try: cache[job]._set(i, obj) except KeyError: pass task = job = obj = None while cache and thread._state != TERMINATE: try: task = get() except (IOError, EOFError): debug('result handler got EOFError/IOError -- exiting') return if task is None: debug('result handler ignoring extra sentinel') continue job, i, obj = task try: cache[job]._set(i, obj) except KeyError: pass task = job = obj = None if hasattr(outqueue, '_reader'): debug('ensuring that outqueue is not full') # If we don't make room available in outqueue then # attempts to add the sentinel (None) to outqueue may # block. There is guaranteed to be no more than 2 sentinels. try: for i in range(10): if not outqueue._reader.poll(): break get() except (IOError, EOFError): pass debug('result handler exiting: len(cache)=%s, thread._state=%s', len(cache), thread._state) @staticmethod def _get_tasks(func, it, size): it = iter(it) while 1: x = tuple(itertools.islice(it, size)) if not x: return yield (func, x) def __reduce__(self): raise NotImplementedError( 'pool objects cannot be passed between processes or pickled' ) def close(self): debug('closing pool') if self._state == RUN: self._state = CLOSE self._worker_handler._state = CLOSE def terminate(self): debug('terminating pool') self._state = TERMINATE self._worker_handler._state = TERMINATE self._terminate() def join(self): debug('joining pool') assert self._state in (CLOSE, TERMINATE) self._worker_handler.join() self._task_handler.join() self._result_handler.join() for p in self._pool: p.join() @staticmethod def _help_stuff_finish(inqueue, task_handler, size): # task_handler may be blocked trying to put items on inqueue debug('removing tasks from inqueue until task handler finished') inqueue._rlock.acquire() while task_handler.is_alive() and inqueue._reader.poll(): inqueue._reader.recv() time.sleep(0) @classmethod def _terminate_pool(cls, taskqueue, inqueue, outqueue, pool, worker_handler, task_handler, result_handler, cache): # this is guaranteed to only be called once debug('finalizing pool') worker_handler._state = TERMINATE task_handler._state = TERMINATE debug('helping task handler/workers to finish') cls._help_stuff_finish(inqueue, task_handler, len(pool)) assert result_handler.is_alive() or len(cache) == 0 result_handler._state = TERMINATE outqueue.put(None) # sentinel # We must wait for the worker handler to exit before terminating # workers because we don't want workers to be restarted behind our back. debug('joining worker handler') if threading.current_thread() is not worker_handler: worker_handler.join(1e100) # Terminate workers which haven't already finished. if pool and hasattr(pool[0], 'terminate'): debug('terminating workers') for p in pool: if p.exitcode is None: p.terminate() debug('joining task handler') if threading.current_thread() is not task_handler: task_handler.join(1e100) debug('joining result handler') if threading.current_thread() is not result_handler: result_handler.join(1e100) if pool and hasattr(pool[0], 'terminate'): debug('joining pool workers') for p in pool: if p.is_alive(): # worker has not yet exited debug('cleaning up worker %d' % p.pid) p.join() # # Class whose instances are returned by `Pool.apply_async()` # class ApplyResult(object): def __init__(self, cache, callback): self._cond = threading.Condition(threading.Lock()) self._job = job_counter.next() self._cache = cache self._ready = False self._callback = callback cache[self._job] = self def ready(self): return self._ready def successful(self): assert self._ready return self._success def wait(self, timeout=None): self._cond.acquire() try: if not self._ready: self._cond.wait(timeout) finally: self._cond.release() def get(self, timeout=None): self.wait(timeout) if not self._ready: raise TimeoutError if self._success: return self._value else: raise self._value def _set(self, i, obj): self._success, self._value = obj if self._callback and self._success: self._callback(self._value) self._cond.acquire() try: self._ready = True self._cond.notify() finally: self._cond.release() del self._cache[self._job] AsyncResult = ApplyResult # create alias -- see #17805 # # Class whose instances are returned by `Pool.map_async()` # class MapResult(ApplyResult): def __init__(self, cache, chunksize, length, callback): ApplyResult.__init__(self, cache, callback) self._success = True self._value = [None] * length self._chunksize = chunksize if chunksize <= 0: self._number_left = 0 self._ready = True del cache[self._job] else: self._number_left = length//chunksize + bool(length % chunksize) def _set(self, i, success_result): success, result = success_result if success: self._value[i*self._chunksize:(i+1)*self._chunksize] = result self._number_left -= 1 if self._number_left == 0: if self._callback: self._callback(self._value) del self._cache[self._job] self._cond.acquire() try: self._ready = True self._cond.notify() finally: self._cond.release() else: self._success = False self._value = result del self._cache[self._job] self._cond.acquire() try: self._ready = True self._cond.notify() finally: self._cond.release() # # Class whose instances are returned by `Pool.imap()` # class IMapIterator(object): def __init__(self, cache): self._cond = threading.Condition(threading.Lock()) self._job = job_counter.next() self._cache = cache self._items = collections.deque() self._index = 0 self._length = None self._unsorted = {} cache[self._job] = self def __iter__(self): return self def next(self, timeout=None): self._cond.acquire() try: try: item = self._items.popleft() except IndexError: if self._index == self._length: raise StopIteration self._cond.wait(timeout) try: item = self._items.popleft() except IndexError: if self._index == self._length: raise StopIteration raise TimeoutError finally: self._cond.release() success, value = item if success: return value raise value __next__ = next # XXX def _set(self, i, obj): self._cond.acquire() try: if self._index == i: self._items.append(obj) self._index += 1 while self._index in self._unsorted: obj = self._unsorted.pop(self._index) self._items.append(obj) self._index += 1 self._cond.notify() else: self._unsorted[i] = obj if self._index == self._length: del self._cache[self._job] finally: self._cond.release() def _set_length(self, length): self._cond.acquire() try: self._length = length if self._index == self._length: self._cond.notify() del self._cache[self._job] finally: self._cond.release() # # Class whose instances are returned by `Pool.imap_unordered()` # class IMapUnorderedIterator(IMapIterator): def _set(self, i, obj): self._cond.acquire() try: self._items.append(obj) self._index += 1 self._cond.notify() if self._index == self._length: del self._cache[self._job] finally: self._cond.release() # # # class ThreadPool(Pool): from .dummy import Process def __init__(self, processes=None, initializer=None, initargs=()): Pool.__init__(self, processes, initializer, initargs) def _setup_queues(self): self._inqueue = Queue.Queue() self._outqueue = Queue.Queue() self._quick_put = self._inqueue.put self._quick_get = self._outqueue.get @staticmethod def _help_stuff_finish(inqueue, task_handler, size): # put sentinels at head of inqueue to make workers finish inqueue.not_empty.acquire() try: inqueue.queue.clear() inqueue.queue.extend([None] * size) inqueue.not_empty.notify_all() finally: inqueue.not_empty.release()