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616 lines
19 KiB
616 lines
19 KiB
"""
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Memcached Backends
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------------------
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Provides backends for talking to `memcached <http://memcached.org>`_.
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"""
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import random
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import threading
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import time
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import typing
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from typing import Any
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from typing import Mapping
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import warnings
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from ..api import CacheBackend
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from ..api import NO_VALUE
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from ... import util
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if typing.TYPE_CHECKING:
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import bmemcached
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import memcache
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import pylibmc
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import pymemcache
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else:
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# delayed import
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bmemcached = None # noqa F811
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memcache = None # noqa F811
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pylibmc = None # noqa F811
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pymemcache = None # noqa F811
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__all__ = (
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"GenericMemcachedBackend",
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"MemcachedBackend",
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"PylibmcBackend",
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"PyMemcacheBackend",
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"BMemcachedBackend",
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"MemcachedLock",
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)
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class MemcachedLock(object):
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"""Simple distributed lock using memcached."""
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def __init__(self, client_fn, key, timeout=0):
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self.client_fn = client_fn
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self.key = "_lock" + key
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self.timeout = timeout
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def acquire(self, wait=True):
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client = self.client_fn()
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i = 0
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while True:
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if client.add(self.key, 1, self.timeout):
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return True
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elif not wait:
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return False
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else:
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sleep_time = (((i + 1) * random.random()) + 2 ** i) / 2.5
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time.sleep(sleep_time)
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if i < 15:
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i += 1
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def locked(self):
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client = self.client_fn()
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return client.get(self.key) is not None
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def release(self):
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client = self.client_fn()
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client.delete(self.key)
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class GenericMemcachedBackend(CacheBackend):
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"""Base class for memcached backends.
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This base class accepts a number of paramters
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common to all backends.
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:param url: the string URL to connect to. Can be a single
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string or a list of strings. This is the only argument
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that's required.
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:param distributed_lock: boolean, when True, will use a
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memcached-lock as the dogpile lock (see :class:`.MemcachedLock`).
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Use this when multiple
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processes will be talking to the same memcached instance.
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When left at False, dogpile will coordinate on a regular
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threading mutex.
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:param lock_timeout: integer, number of seconds after acquiring a lock that
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memcached should expire it. This argument is only valid when
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``distributed_lock`` is ``True``.
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.. versionadded:: 0.5.7
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:param memcached_expire_time: integer, when present will
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be passed as the ``time`` parameter to ``pylibmc.Client.set``.
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This is used to set the memcached expiry time for a value.
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.. note::
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This parameter is **different** from Dogpile's own
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``expiration_time``, which is the number of seconds after
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which Dogpile will consider the value to be expired.
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When Dogpile considers a value to be expired,
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it **continues to use the value** until generation
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of a new value is complete, when using
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:meth:`.CacheRegion.get_or_create`.
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Therefore, if you are setting ``memcached_expire_time``, you'll
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want to make sure it is greater than ``expiration_time``
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by at least enough seconds for new values to be generated,
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else the value won't be available during a regeneration,
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forcing all threads to wait for a regeneration each time
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a value expires.
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The :class:`.GenericMemachedBackend` uses a ``threading.local()``
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object to store individual client objects per thread,
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as most modern memcached clients do not appear to be inherently
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threadsafe.
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In particular, ``threading.local()`` has the advantage over pylibmc's
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built-in thread pool in that it automatically discards objects
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associated with a particular thread when that thread ends.
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"""
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set_arguments: Mapping[str, Any] = {}
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"""Additional arguments which will be passed
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to the :meth:`set` method."""
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# No need to override serializer, as all the memcached libraries
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# handles that themselves. Still, we support customizing the
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# serializer/deserializer to use better default pickle protocol
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# or completely different serialization mechanism
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serializer = None
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deserializer = None
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def __init__(self, arguments):
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self._imports()
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# using a plain threading.local here. threading.local
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# automatically deletes the __dict__ when a thread ends,
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# so the idea is that this is superior to pylibmc's
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# own ThreadMappedPool which doesn't handle this
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# automatically.
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self.url = util.to_list(arguments["url"])
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self.distributed_lock = arguments.get("distributed_lock", False)
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self.lock_timeout = arguments.get("lock_timeout", 0)
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self.memcached_expire_time = arguments.get("memcached_expire_time", 0)
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def has_lock_timeout(self):
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return self.lock_timeout != 0
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def _imports(self):
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"""client library imports go here."""
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raise NotImplementedError()
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def _create_client(self):
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"""Creation of a Client instance goes here."""
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raise NotImplementedError()
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@util.memoized_property
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def _clients(self):
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backend = self
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class ClientPool(threading.local):
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def __init__(self):
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self.memcached = backend._create_client()
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return ClientPool()
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@property
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def client(self):
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"""Return the memcached client.
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This uses a threading.local by
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default as it appears most modern
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memcached libs aren't inherently
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threadsafe.
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"""
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return self._clients.memcached
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def get_mutex(self, key):
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if self.distributed_lock:
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return MemcachedLock(
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lambda: self.client, key, timeout=self.lock_timeout
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)
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else:
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return None
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def get(self, key):
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value = self.client.get(key)
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if value is None:
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return NO_VALUE
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else:
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return value
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def get_multi(self, keys):
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values = self.client.get_multi(keys)
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return [
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NO_VALUE if val is None else val
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for val in [values.get(key, NO_VALUE) for key in keys]
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]
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def set(self, key, value):
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self.client.set(key, value, **self.set_arguments)
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def set_multi(self, mapping):
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mapping = {key: value for key, value in mapping.items()}
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self.client.set_multi(mapping, **self.set_arguments)
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def delete(self, key):
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self.client.delete(key)
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def delete_multi(self, keys):
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self.client.delete_multi(keys)
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class MemcacheArgs(GenericMemcachedBackend):
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"""Mixin which provides support for the 'time' argument to set(),
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'min_compress_len' to other methods.
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"""
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def __init__(self, arguments):
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self.min_compress_len = arguments.get("min_compress_len", 0)
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self.set_arguments = {}
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if "memcached_expire_time" in arguments:
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self.set_arguments["time"] = arguments["memcached_expire_time"]
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if "min_compress_len" in arguments:
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self.set_arguments["min_compress_len"] = arguments[
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"min_compress_len"
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]
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super(MemcacheArgs, self).__init__(arguments)
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class PylibmcBackend(MemcacheArgs, GenericMemcachedBackend):
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"""A backend for the
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`pylibmc <http://sendapatch.se/projects/pylibmc/index.html>`_
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memcached client.
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A configuration illustrating several of the optional
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arguments described in the pylibmc documentation::
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from dogpile.cache import make_region
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region = make_region().configure(
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'dogpile.cache.pylibmc',
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expiration_time = 3600,
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arguments = {
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'url':["127.0.0.1"],
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'binary':True,
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'behaviors':{"tcp_nodelay": True,"ketama":True}
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}
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)
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Arguments accepted here include those of
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:class:`.GenericMemcachedBackend`, as well as
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those below.
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:param binary: sets the ``binary`` flag understood by
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``pylibmc.Client``.
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:param behaviors: a dictionary which will be passed to
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``pylibmc.Client`` as the ``behaviors`` parameter.
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:param min_compress_len: Integer, will be passed as the
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``min_compress_len`` parameter to the ``pylibmc.Client.set``
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method.
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"""
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def __init__(self, arguments):
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self.binary = arguments.get("binary", False)
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self.behaviors = arguments.get("behaviors", {})
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super(PylibmcBackend, self).__init__(arguments)
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def _imports(self):
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global pylibmc
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import pylibmc # noqa
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def _create_client(self):
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return pylibmc.Client(
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self.url, binary=self.binary, behaviors=self.behaviors
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)
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class MemcachedBackend(MemcacheArgs, GenericMemcachedBackend):
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"""A backend using the standard
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`Python-memcached <http://www.tummy.com/Community/software/\
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python-memcached/>`_
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library.
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Example::
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from dogpile.cache import make_region
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region = make_region().configure(
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'dogpile.cache.memcached',
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expiration_time = 3600,
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arguments = {
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'url':"127.0.0.1:11211"
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}
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)
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"""
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def _imports(self):
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global memcache
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import memcache # noqa
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def _create_client(self):
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return memcache.Client(self.url)
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class BMemcachedBackend(GenericMemcachedBackend):
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"""A backend for the
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`python-binary-memcached <https://github.com/jaysonsantos/\
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python-binary-memcached>`_
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memcached client.
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This is a pure Python memcached client which includes
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security features like SASL and SSL/TLS.
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SASL is a standard for adding authentication mechanisms
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to protocols in a way that is protocol independent.
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A typical configuration using username/password::
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from dogpile.cache import make_region
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region = make_region().configure(
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'dogpile.cache.bmemcached',
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expiration_time = 3600,
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arguments = {
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'url':["127.0.0.1"],
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'username':'scott',
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'password':'tiger'
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}
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)
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A typical configuration using tls_context::
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import ssl
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from dogpile.cache import make_region
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ctx = ssl.create_default_context(cafile="/path/to/my-ca.pem")
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region = make_region().configure(
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'dogpile.cache.bmemcached',
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expiration_time = 3600,
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arguments = {
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'url':["127.0.0.1"],
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'tls_context':ctx,
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}
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)
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For advanced ways to configure TLS creating a more complex
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tls_context visit https://docs.python.org/3/library/ssl.html
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Arguments which can be passed to the ``arguments``
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dictionary include:
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:param username: optional username, will be used for
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SASL authentication.
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:param password: optional password, will be used for
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SASL authentication.
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:param tls_context: optional TLS context, will be used for
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TLS connections.
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.. versionadded:: 1.0.2
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"""
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def __init__(self, arguments):
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self.username = arguments.get("username", None)
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self.password = arguments.get("password", None)
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self.tls_context = arguments.get("tls_context", None)
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super(BMemcachedBackend, self).__init__(arguments)
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def _imports(self):
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global bmemcached
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import bmemcached
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class RepairBMemcachedAPI(bmemcached.Client):
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"""Repairs BMemcached's non-standard method
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signatures, which was fixed in BMemcached
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ef206ed4473fec3b639e.
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"""
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def add(self, key, value, timeout=0):
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try:
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return super(RepairBMemcachedAPI, self).add(
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key, value, timeout
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)
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except ValueError:
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return False
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self.Client = RepairBMemcachedAPI
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def _create_client(self):
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return self.Client(
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self.url,
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username=self.username,
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password=self.password,
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tls_context=self.tls_context,
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)
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def delete_multi(self, keys):
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"""python-binary-memcached api does not implements delete_multi"""
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for key in keys:
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self.delete(key)
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class PyMemcacheBackend(GenericMemcachedBackend):
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"""A backend for the
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`pymemcache <https://github.com/pinterest/pymemcache>`_
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memcached client.
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A comprehensive, fast, pure Python memcached client
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.. versionadded:: 1.1.2
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pymemcache supports the following features:
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* Complete implementation of the memcached text protocol.
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* Configurable timeouts for socket connect and send/recv calls.
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* Access to the "noreply" flag, which can significantly increase
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the speed of writes.
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* Flexible, simple approach to serialization and deserialization.
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* The (optional) ability to treat network and memcached errors as
|
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cache misses.
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dogpile.cache uses the ``HashClient`` from pymemcache in order to reduce
|
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API differences when compared to other memcached client drivers.
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This allows the user to provide a single server or a list of memcached
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servers.
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Arguments which can be passed to the ``arguments``
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dictionary include:
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:param tls_context: optional TLS context, will be used for
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TLS connections.
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A typical configuration using tls_context::
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|
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import ssl
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from dogpile.cache import make_region
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|
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ctx = ssl.create_default_context(cafile="/path/to/my-ca.pem")
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|
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region = make_region().configure(
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'dogpile.cache.pymemcache',
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expiration_time = 3600,
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arguments = {
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'url':["127.0.0.1"],
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'tls_context':ctx,
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}
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)
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|
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.. seealso::
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|
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`<https://docs.python.org/3/library/ssl.html>`_ - additional TLS
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documentation.
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:param serde: optional "serde". Defaults to
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``pymemcache.serde.pickle_serde``.
|
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:param default_noreply: defaults to False. When set to True this flag
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enables the pymemcache "noreply" feature. See the pymemcache
|
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documentation for further details.
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|
|
:param socket_keepalive: optional socket keepalive, will be used for
|
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TCP keepalive configuration. Use of this parameter requires pymemcache
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3.5.0 or greater. This parameter
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|
accepts a
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`pymemcache.client.base.KeepAliveOpts
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<https://pymemcache.readthedocs.io/en/latest/apidoc/pymemcache.client.base.html#pymemcache.client.base.KeepaliveOpts>`_
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object.
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A typical configuration using ``socket_keepalive``::
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from pymemcache import KeepaliveOpts
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from dogpile.cache import make_region
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# Using the default keepalive configuration
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socket_keepalive = KeepaliveOpts()
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|
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region = make_region().configure(
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'dogpile.cache.pymemcache',
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expiration_time = 3600,
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arguments = {
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'url':["127.0.0.1"],
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'socket_keepalive': socket_keepalive
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}
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)
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|
|
.. versionadded:: 1.1.4 - added support for ``socket_keepalive``.
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|
|
:param enable_retry_client: optional flag to enable retry client
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mechanisms to handle failure. Defaults to False. When set to ``True``,
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the :paramref:`.PyMemcacheBackend.retry_attempts` parameter must also
|
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be set, along with optional parameters
|
|
:paramref:`.PyMemcacheBackend.retry_delay`.
|
|
:paramref:`.PyMemcacheBackend.retry_for`,
|
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:paramref:`.PyMemcacheBackend.do_not_retry_for`.
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|
|
.. seealso::
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|
`<https://pymemcache.readthedocs.io/en/latest/getting_started.html#using-the-built-in-retrying-mechanism>`_ -
|
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in the pymemcache documentation
|
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|
|
.. versionadded:: 1.1.4
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|
:param retry_attempts: how many times to attempt an action with
|
|
pymemcache's retrying wrapper before failing. Must be 1 or above.
|
|
Defaults to None.
|
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|
|
.. versionadded:: 1.1.4
|
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|
|
:param retry_delay: optional int|float, how many seconds to sleep between
|
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each attempt. Used by the retry wrapper. Defaults to None.
|
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|
|
.. versionadded:: 1.1.4
|
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|
:param retry_for: optional None|tuple|set|list, what exceptions to
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allow retries for. Will allow retries for all exceptions if None.
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|
Example: ``(MemcacheClientError, MemcacheUnexpectedCloseError)``
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|
Accepts any class that is a subclass of Exception. Defaults to None.
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|
|
.. versionadded:: 1.1.4
|
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|
|
:param do_not_retry_for: optional None|tuple|set|list, what
|
|
exceptions should be retried. Will not block retries for any Exception if
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None. Example: ``(IOError, MemcacheIllegalInputError)``
|
|
Accepts any class that is a subclass of Exception. Defaults to None.
|
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|
|
.. versionadded:: 1.1.4
|
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|
:param hashclient_retry_attempts: Amount of times a client should be tried
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before it is marked dead and removed from the pool in the HashClient's
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internal mechanisms.
|
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|
.. versionadded:: 1.1.5
|
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|
|
:param hashclient_retry_timeout: Time in seconds that should pass between
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retry attempts in the HashClient's internal mechanisms.
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|
|
.. versionadded:: 1.1.5
|
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|
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:param dead_timeout: Time in seconds before attempting to add a node
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back in the pool in the HashClient's internal mechanisms.
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.. versionadded:: 1.1.5
|
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""" # noqa E501
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|
|
def __init__(self, arguments):
|
|
super().__init__(arguments)
|
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|
|
self.serde = arguments.get("serde", pymemcache.serde.pickle_serde)
|
|
self.default_noreply = arguments.get("default_noreply", False)
|
|
self.tls_context = arguments.get("tls_context", None)
|
|
self.socket_keepalive = arguments.get("socket_keepalive", None)
|
|
self.enable_retry_client = arguments.get("enable_retry_client", False)
|
|
self.retry_attempts = arguments.get("retry_attempts", None)
|
|
self.retry_delay = arguments.get("retry_delay", None)
|
|
self.retry_for = arguments.get("retry_for", None)
|
|
self.do_not_retry_for = arguments.get("do_not_retry_for", None)
|
|
self.hashclient_retry_attempts = arguments.get(
|
|
"hashclient_retry_attempts", 2
|
|
)
|
|
self.hashclient_retry_timeout = arguments.get(
|
|
"hashclient_retry_timeout", 1
|
|
)
|
|
self.dead_timeout = arguments.get("hashclient_dead_timeout", 60)
|
|
if (
|
|
self.retry_delay is not None
|
|
or self.retry_attempts is not None
|
|
or self.retry_for is not None
|
|
or self.do_not_retry_for is not None
|
|
) and not self.enable_retry_client:
|
|
warnings.warn(
|
|
"enable_retry_client is not set; retry options "
|
|
"will be ignored"
|
|
)
|
|
|
|
def _imports(self):
|
|
global pymemcache
|
|
import pymemcache
|
|
|
|
def _create_client(self):
|
|
_kwargs = {
|
|
"serde": self.serde,
|
|
"default_noreply": self.default_noreply,
|
|
"tls_context": self.tls_context,
|
|
"retry_attempts": self.hashclient_retry_attempts,
|
|
"retry_timeout": self.hashclient_retry_timeout,
|
|
"dead_timeout": self.dead_timeout,
|
|
}
|
|
if self.socket_keepalive is not None:
|
|
_kwargs.update({"socket_keepalive": self.socket_keepalive})
|
|
|
|
client = pymemcache.client.hash.HashClient(self.url, **_kwargs)
|
|
if self.enable_retry_client:
|
|
return pymemcache.client.retrying.RetryingClient(
|
|
client,
|
|
attempts=self.retry_attempts,
|
|
retry_delay=self.retry_delay,
|
|
retry_for=self.retry_for,
|
|
do_not_retry_for=self.do_not_retry_for,
|
|
)
|
|
|
|
return client
|