218 lines
6.9 KiB
Python
218 lines
6.9 KiB
Python
"""\
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@file pools.py
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@author Donovan Preston, Aaron Brashears
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Copyright (c) 2007, Linden Research, Inc.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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"""
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import collections
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from eventlet import api
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from eventlet import channel
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from eventlet import coros
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class FanFailed(RuntimeError):
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pass
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class SomeFailed(FanFailed):
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pass
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class AllFailed(FanFailed):
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pass
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class Pool(object):
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"""
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When using the pool, if you do a get, you should ALWAYS do a put.
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The pattern is:
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thing = self.pool.get()
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try:
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# do stuff
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finally:
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self.pool.put(thing)
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The maximum size of the pool can be modified at runtime via the max_size attribute.
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Adjusting this number does not affect existing items checked out of the pool, nor
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on any waiters who are waiting for an item to free up. Some indeterminate number
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of get/put cycles will be necessary before the new maximum size truly matches the
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actual operation of the pool.
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"""
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def __init__(self, min_size=0, max_size=4, order_as_stack=False):
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""" Pre-populates the pool with *min_size* items. Sets a hard limit to
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the size of the pool -- it cannot contain any more items than
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*max_size*, and if there are already *max_size* items 'checked out' of
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the pool, the pool will cause any getter to cooperatively yield until an
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item is put in.
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*order_as_stack* governs the ordering of the items in the free pool. If
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False (the default), the free items collection (of items that were
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created and were put back in the pool) acts as a round-robin, giving
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each item approximately equal utilization. If True, the free pool acts
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as a FILO stack, which preferentially re-uses items that have most
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recently been used.
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"""
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self.min_size = min_size
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self.max_size = max_size
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self.order_as_stack = order_as_stack
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self.current_size = 0
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self.channel = channel.channel()
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self.free_items = collections.deque()
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for x in xrange(min_size):
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self.current_size += 1
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self.free_items.append(self.create())
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def get(self):
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"""Return an item from the pool, when one is available
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"""
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if self.free_items:
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return self.free_items.popleft()
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if self.current_size < self.max_size:
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created = self.create()
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self.current_size += 1
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return created
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return self.channel.receive()
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def put(self, item):
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"""Put an item back into the pool, when done
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"""
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if self.current_size > self.max_size:
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self.current_size -= 1
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return
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if self.channel.balance < 0:
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self.channel.send(item)
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else:
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if self.order_as_stack:
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self.free_items.appendleft(item)
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else:
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self.free_items.append(item)
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def resize(self, new_size):
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"""Resize the pool
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"""
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self.max_size = new_size
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def free(self):
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"""Return the number of free items in the pool.
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"""
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return len(self.free_items) + self.max_size - self.current_size
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def waiting(self):
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"""Return the number of routines waiting for a pool item.
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"""
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if self.channel.balance < 0:
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return -self.channel.balance
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return 0
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def create(self):
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"""Generate a new pool item
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"""
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raise NotImplementedError("Implement in subclass")
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def fan(self, block, input_list):
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queue = coros.queue(0)
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results = []
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exceptional_results = 0
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for index, input_item in enumerate(input_list):
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pool_item = self.get()
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## Fan out
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api.spawn(
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self._invoke, block, pool_item, input_item, index, queue)
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## Fan back in
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for i in range(len(input_list)):
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## Wait for all guys to send to the queue
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index, value = queue.wait()
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if isinstance(value, Exception):
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exceptional_results += 1
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results.append((index, value))
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results.sort()
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results = [value for index, value in results]
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if exceptional_results:
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if exceptional_results == len(results):
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raise AllFailed(results)
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raise SomeFailed(results)
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return results
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def _invoke(self, block, pool_item, input_item, index, queue):
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try:
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result = block(pool_item, input_item)
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except Exception, e:
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self.put(pool_item)
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queue.send((index, e))
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return
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self.put(pool_item)
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queue.send((index, result))
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class Token(object):
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pass
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class TokenPool(Pool):
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"""A pool which gives out tokens, an object indicating that
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the person who holds the token has a right to consume some
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limited resource.
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"""
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def create(self):
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return Token()
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class ConnectionPool(Pool):
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"""A Pool which can limit the number of concurrent http operations
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being made to a given server.
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*NOTE: *TODO:
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This does NOT currently keep sockets open. It discards the created
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http object when it is put back in the pool. This is because we do
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not yet have a combination of http clients and servers which can work
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together to do HTTP keepalive sockets without errors.
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"""
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def __init__(self, proto, netloc, use_proxy, min_size=0, max_size=4):
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self.proto = proto
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self.netloc = netloc
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self.use_proxy = use_proxy
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Pool.__init__(self, min_size, max_size)
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def create(self):
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import httpc
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return httpc.make_connection(self.proto, self.netloc, self.use_proxy)
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def put(self, item):
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## Discard item, create a new connection for the pool
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Pool.put(self, self.create())
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class ExceptionWrapper(object):
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def __init__(self, e):
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self.e = e
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if __name__=='__main__':
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import doctest
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doctest.testmod()
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