380 lines
12 KiB
Python
380 lines
12 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from twisted.internet import defer, reactor
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from .logcontext import (
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PreserveLoggingContext, preserve_fn, preserve_context_over_deferred,
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)
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from synapse.util import logcontext, unwrapFirstError
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from contextlib import contextmanager
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import logging
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logger = logging.getLogger(__name__)
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@defer.inlineCallbacks
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def sleep(seconds):
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d = defer.Deferred()
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with PreserveLoggingContext():
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reactor.callLater(seconds, d.callback, seconds)
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res = yield d
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defer.returnValue(res)
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def run_on_reactor():
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""" This will cause the rest of the function to be invoked upon the next
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iteration of the main loop
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"""
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return sleep(0)
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class ObservableDeferred(object):
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"""Wraps a deferred object so that we can add observer deferreds. These
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observer deferreds do not affect the callback chain of the original
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deferred.
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If consumeErrors is true errors will be captured from the origin deferred.
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Cancelling or otherwise resolving an observer will not affect the original
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ObservableDeferred.
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"""
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__slots__ = ["_deferred", "_observers", "_result"]
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def __init__(self, deferred, consumeErrors=False):
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object.__setattr__(self, "_deferred", deferred)
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object.__setattr__(self, "_result", None)
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object.__setattr__(self, "_observers", set())
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def callback(r):
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object.__setattr__(self, "_result", (True, r))
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while self._observers:
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try:
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# TODO: Handle errors here.
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self._observers.pop().callback(r)
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except:
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pass
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return r
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def errback(f):
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object.__setattr__(self, "_result", (False, f))
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while self._observers:
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try:
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# TODO: Handle errors here.
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self._observers.pop().errback(f)
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except:
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pass
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if consumeErrors:
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return None
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else:
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return f
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deferred.addCallbacks(callback, errback)
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def observe(self):
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"""Observe the underlying deferred.
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Can return either a deferred if the underlying deferred is still pending
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(or has failed), or the actual value. Callers may need to use maybeDeferred.
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"""
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if not self._result:
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d = defer.Deferred()
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def remove(r):
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self._observers.discard(d)
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return r
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d.addBoth(remove)
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self._observers.add(d)
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return d
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else:
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success, res = self._result
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return res if success else defer.fail(res)
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def observers(self):
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return self._observers
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def has_called(self):
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return self._result is not None
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def has_succeeded(self):
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return self._result is not None and self._result[0] is True
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def get_result(self):
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return self._result[1]
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def __getattr__(self, name):
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return getattr(self._deferred, name)
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def __setattr__(self, name, value):
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setattr(self._deferred, name, value)
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def __repr__(self):
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return "<ObservableDeferred object at %s, result=%r, _deferred=%r>" % (
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id(self), self._result, self._deferred,
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)
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def concurrently_execute(func, args, limit):
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"""Executes the function with each argument conncurrently while limiting
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the number of concurrent executions.
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Args:
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func (func): Function to execute, should return a deferred.
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args (list): List of arguments to pass to func, each invocation of func
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gets a signle argument.
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limit (int): Maximum number of conccurent executions.
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Returns:
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deferred: Resolved when all function invocations have finished.
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"""
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it = iter(args)
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@defer.inlineCallbacks
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def _concurrently_execute_inner():
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try:
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while True:
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yield func(it.next())
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except StopIteration:
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pass
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return logcontext.make_deferred_yieldable(defer.gatherResults([
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preserve_fn(_concurrently_execute_inner)()
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for _ in xrange(limit)
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], consumeErrors=True)).addErrback(unwrapFirstError)
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class Linearizer(object):
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"""Linearizes access to resources based on a key. Useful to ensure only one
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thing is happening at a time on a given resource.
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Example:
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with (yield linearizer.queue("test_key")):
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# do some work.
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"""
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def __init__(self, name=None):
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if name is None:
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self.name = id(self)
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else:
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self.name = name
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self.key_to_defer = {}
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@defer.inlineCallbacks
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def queue(self, key):
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# If there is already a deferred in the queue, we pull it out so that
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# we can wait on it later.
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# Then we replace it with a deferred that we resolve *after* the
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# context manager has exited.
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# We only return the context manager after the previous deferred has
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# resolved.
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# This all has the net effect of creating a chain of deferreds that
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# wait for the previous deferred before starting their work.
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current_defer = self.key_to_defer.get(key)
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new_defer = defer.Deferred()
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self.key_to_defer[key] = new_defer
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if current_defer:
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logger.info(
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"Waiting to acquire linearizer lock %r for key %r", self.name, key
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)
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try:
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with PreserveLoggingContext():
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yield current_defer
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except:
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logger.exception("Unexpected exception in Linearizer")
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logger.info("Acquired linearizer lock %r for key %r", self.name,
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key)
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# if the code holding the lock completes synchronously, then it
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# will recursively run the next claimant on the list. That can
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# relatively rapidly lead to stack exhaustion. This is essentially
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# the same problem as http://twistedmatrix.com/trac/ticket/9304.
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#
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# In order to break the cycle, we add a cheeky sleep(0) here to
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# ensure that we fall back to the reactor between each iteration.
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#
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# (There's no particular need for it to happen before we return
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# the context manager, but it needs to happen while we hold the
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# lock, and the context manager's exit code must be synchronous,
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# so actually this is the only sensible place.
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yield run_on_reactor()
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else:
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logger.info("Acquired uncontended linearizer lock %r for key %r",
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self.name, key)
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@contextmanager
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def _ctx_manager():
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try:
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yield
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finally:
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logger.info("Releasing linearizer lock %r for key %r", self.name, key)
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with PreserveLoggingContext():
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new_defer.callback(None)
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current_d = self.key_to_defer.get(key)
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if current_d is new_defer:
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self.key_to_defer.pop(key, None)
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defer.returnValue(_ctx_manager())
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class Limiter(object):
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"""Limits concurrent access to resources based on a key. Useful to ensure
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only a few thing happen at a time on a given resource.
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Example:
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with (yield limiter.queue("test_key")):
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# do some work.
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"""
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def __init__(self, max_count):
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"""
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Args:
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max_count(int): The maximum number of concurrent access
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"""
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self.max_count = max_count
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# key_to_defer is a map from the key to a 2 element list where
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# the first element is the number of things executing
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# the second element is a list of deferreds for the things blocked from
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# executing.
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self.key_to_defer = {}
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@defer.inlineCallbacks
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def queue(self, key):
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entry = self.key_to_defer.setdefault(key, [0, []])
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# If the number of things executing is greater than the maximum
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# then add a deferred to the list of blocked items
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# When on of the things currently executing finishes it will callback
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# this item so that it can continue executing.
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if entry[0] >= self.max_count:
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new_defer = defer.Deferred()
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entry[1].append(new_defer)
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with PreserveLoggingContext():
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yield new_defer
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entry[0] += 1
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@contextmanager
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def _ctx_manager():
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try:
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yield
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finally:
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# We've finished executing so check if there are any things
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# blocked waiting to execute and start one of them
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entry[0] -= 1
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try:
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entry[1].pop(0).callback(None)
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except IndexError:
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# If nothing else is executing for this key then remove it
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# from the map
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if entry[0] == 0:
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self.key_to_defer.pop(key, None)
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defer.returnValue(_ctx_manager())
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class ReadWriteLock(object):
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"""A deferred style read write lock.
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Example:
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with (yield read_write_lock.read("test_key")):
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# do some work
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"""
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# IMPLEMENTATION NOTES
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#
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# We track the most recent queued reader and writer deferreds (which get
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# resolved when they release the lock).
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#
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# Read: We know its safe to acquire a read lock when the latest writer has
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# been resolved. The new reader is appeneded to the list of latest readers.
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#
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# Write: We know its safe to acquire the write lock when both the latest
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# writers and readers have been resolved. The new writer replaces the latest
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# writer.
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def __init__(self):
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# Latest readers queued
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self.key_to_current_readers = {}
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# Latest writer queued
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self.key_to_current_writer = {}
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@defer.inlineCallbacks
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def read(self, key):
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new_defer = defer.Deferred()
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curr_readers = self.key_to_current_readers.setdefault(key, set())
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curr_writer = self.key_to_current_writer.get(key, None)
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curr_readers.add(new_defer)
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# We wait for the latest writer to finish writing. We can safely ignore
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# any existing readers... as they're readers.
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yield curr_writer
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@contextmanager
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def _ctx_manager():
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try:
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yield
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finally:
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new_defer.callback(None)
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self.key_to_current_readers.get(key, set()).discard(new_defer)
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defer.returnValue(_ctx_manager())
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@defer.inlineCallbacks
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def write(self, key):
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new_defer = defer.Deferred()
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curr_readers = self.key_to_current_readers.get(key, set())
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curr_writer = self.key_to_current_writer.get(key, None)
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# We wait on all latest readers and writer.
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to_wait_on = list(curr_readers)
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if curr_writer:
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to_wait_on.append(curr_writer)
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# We can clear the list of current readers since the new writer waits
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# for them to finish.
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curr_readers.clear()
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self.key_to_current_writer[key] = new_defer
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yield preserve_context_over_deferred(defer.gatherResults(to_wait_on))
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@contextmanager
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def _ctx_manager():
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try:
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yield
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finally:
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new_defer.callback(None)
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if self.key_to_current_writer[key] == new_defer:
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self.key_to_current_writer.pop(key)
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defer.returnValue(_ctx_manager())
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