Since we support various executors (threaded and distributed) the next best executor when a threaded executor will not perform and a distributed one requires to much setup is a local process based one so it would be great to support this where we can. Things that are currently (likely never) not going to work: * Non-pickleable/non-copyable tasks * Tasks that return non-pickleable/non-copyable results * Tasks that use non-pickleable/non-copyable args/kwargs Part of blueprint process-executor Change-Id: I966ae01d390c7217b858db3feb2db949ce5c08d1
74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import multiprocessing
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import sys
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import threading
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from six.moves import _thread
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if sys.version_info[0:2] == (2, 6):
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# This didn't return that was/wasn't set in 2.6, since we actually care
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# whether it did or didn't add that feature by taking the code from 2.7
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# that added this functionality...
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#
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# TODO(harlowja): remove when we can drop 2.6 support.
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class Event(threading._Event):
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def wait(self, timeout=None):
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self.__cond.acquire()
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try:
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if not self.__flag:
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self.__cond.wait(timeout)
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return self.__flag
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finally:
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self.__cond.release()
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else:
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Event = threading.Event
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def is_alive(thread):
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"""Helper to determine if a thread is alive (handles none safely)."""
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if not thread:
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return False
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return thread.is_alive()
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def get_ident():
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"""Return the 'thread identifier' of the current thread."""
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return _thread.get_ident()
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def get_optimal_thread_count():
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"""Try to guess optimal thread count for current system."""
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try:
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return multiprocessing.cpu_count() + 1
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except NotImplementedError:
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# NOTE(harlowja): apparently may raise so in this case we will
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# just setup two threads since it's hard to know what else we
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# should do in this situation.
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return 2
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def daemon_thread(target, *args, **kwargs):
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"""Makes a daemon thread that calls the given target when started."""
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thread = threading.Thread(target=target, args=args, kwargs=kwargs)
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# NOTE(skudriashev): When the main thread is terminated unexpectedly
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# and thread is still alive - it will prevent main thread from exiting
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# unless the daemon property is set to True.
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thread.daemon = True
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return thread
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