Source code for dramatiq.results.backends.memcached
# This file is a part of Dramatiq.
#
# Copyright (C) 2017,2018 CLEARTYPE SRL <[email protected]>
#
# Dramatiq is free software; you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or (at
# your option) any later version.
#
# Dramatiq is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
# License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from pylibmc import Client, ClientPool
from ..backend import Missing, ResultBackend
[docs]
class MemcachedBackend(ResultBackend):
"""A result backend for Memcached_. This backend uses long
polling to retrieve results.
Parameters:
namespace(str): A string with which to prefix result keys.
encoder(Encoder): The encoder to use when storing and retrieving
result data. Defaults to :class:`.JSONEncoder`.
pool(ClientPool): An optional pylibmc client pool to use. If
this is passed, all other connection params are ignored.
pool_size(int): The size of the connection pool to use.
**parameters: Connection parameters are passed directly
to :class:`pylibmc.Client`.
.. _memcached: https://memcached.org
"""
def __init__(self, *, namespace="dramatiq-results", encoder=None, pool=None, pool_size=8, **parameters):
super().__init__(namespace=namespace, encoder=encoder)
self.pool = pool or ClientPool(Client(**parameters), pool_size)
def _get(self, message_key):
with self.pool.reserve(block=True) as client:
data = client.get(message_key)
if data is not None:
return self.encoder.decode(data)
return Missing
def _store(self, message_key, result, ttl):
result_data = self.encoder.encode(result)
with self.pool.reserve(block=True) as client:
client.set(message_key, result_data, time=int(ttl / 1000))