mirror of
https://git.anonymousland.org/anonymousland/synapse-product.git
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d8cc86eff4
Remove type hints from comments which have been added as Python type hints. This helps avoid drift between comments and reality, as well as removing redundant information. Also adds some missing type hints which were simple to fill in.
874 lines
29 KiB
Python
874 lines
29 KiB
Python
# Copyright 2015, 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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import logging
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import math
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import threading
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import weakref
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from enum import Enum
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from functools import wraps
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from typing import (
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TYPE_CHECKING,
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Any,
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Callable,
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Collection,
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Dict,
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Generic,
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Iterable,
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List,
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Optional,
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Tuple,
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Type,
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TypeVar,
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Union,
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cast,
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overload,
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)
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from typing_extensions import Literal
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from twisted.internet import reactor
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from twisted.internet.interfaces import IReactorTime
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from synapse.config import cache as cache_config
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from synapse.metrics.background_process_metrics import wrap_as_background_process
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from synapse.metrics.jemalloc import get_jemalloc_stats
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from synapse.util import Clock, caches
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from synapse.util.caches import CacheMetric, EvictionReason, register_cache
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from synapse.util.caches.treecache import (
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TreeCache,
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iterate_tree_cache_entry,
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iterate_tree_cache_items,
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)
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from synapse.util.linked_list import ListNode
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if TYPE_CHECKING:
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from synapse.server import HomeServer
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logger = logging.getLogger(__name__)
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try:
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from pympler.asizeof import Asizer
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def _get_size_of(val: Any, *, recurse: bool = True) -> int:
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"""Get an estimate of the size in bytes of the object.
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Args:
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val: The object to size.
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recurse: If true will include referenced values in the size,
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otherwise only sizes the given object.
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"""
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# Ignore singleton values when calculating memory usage.
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if val in ((), None, ""):
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return 0
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sizer = Asizer()
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sizer.exclude_refs((), None, "")
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return sizer.asizeof(val, limit=100 if recurse else 0)
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except ImportError:
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def _get_size_of(val: Any, *, recurse: bool = True) -> int:
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return 0
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# Function type: the type used for invalidation callbacks
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FT = TypeVar("FT", bound=Callable[..., Any])
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# Key and Value type for the cache
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KT = TypeVar("KT")
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VT = TypeVar("VT")
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# a general type var, distinct from either KT or VT
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T = TypeVar("T")
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P = TypeVar("P")
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class _TimedListNode(ListNode[P]):
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"""A `ListNode` that tracks last access time."""
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__slots__ = ["last_access_ts_secs"]
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def update_last_access(self, clock: Clock) -> None:
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self.last_access_ts_secs = int(clock.time())
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# Whether to insert new cache entries to the global list. We only add to it if
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# time based eviction is enabled.
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USE_GLOBAL_LIST = False
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# A linked list of all cache entries, allowing efficient time based eviction.
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GLOBAL_ROOT = ListNode["_Node"].create_root_node()
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@wrap_as_background_process("LruCache._expire_old_entries")
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async def _expire_old_entries(
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clock: Clock, expiry_seconds: float, autotune_config: Optional[dict]
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) -> None:
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"""Walks the global cache list to find cache entries that haven't been
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accessed in the given number of seconds, or if a given memory threshold has been breached.
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"""
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if autotune_config:
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max_cache_memory_usage = autotune_config["max_cache_memory_usage"]
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target_cache_memory_usage = autotune_config["target_cache_memory_usage"]
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min_cache_ttl = autotune_config["min_cache_ttl"] / 1000
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now = int(clock.time())
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node = GLOBAL_ROOT.prev_node
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assert node is not None
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i = 0
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logger.debug("Searching for stale caches")
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evicting_due_to_memory = False
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# determine if we're evicting due to memory
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jemalloc_interface = get_jemalloc_stats()
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if jemalloc_interface and autotune_config:
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try:
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jemalloc_interface.refresh_stats()
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mem_usage = jemalloc_interface.get_stat("allocated")
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if mem_usage > max_cache_memory_usage:
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logger.info("Begin memory-based cache eviction.")
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evicting_due_to_memory = True
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except Exception:
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logger.warning(
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"Unable to read allocated memory, skipping memory-based cache eviction."
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)
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while node is not GLOBAL_ROOT:
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# Only the root node isn't a `_TimedListNode`.
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assert isinstance(node, _TimedListNode)
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# if node has not aged past expiry_seconds and we are not evicting due to memory usage, there's
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# nothing to do here
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if (
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node.last_access_ts_secs > now - expiry_seconds
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and not evicting_due_to_memory
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):
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break
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# if entry is newer than min_cache_entry_ttl then do not evict and don't evict anything newer
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if evicting_due_to_memory and now - node.last_access_ts_secs < min_cache_ttl:
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break
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cache_entry = node.get_cache_entry()
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next_node = node.prev_node
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# The node should always have a reference to a cache entry and a valid
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# `prev_node`, as we only drop them when we remove the node from the
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# list.
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assert next_node is not None
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assert cache_entry is not None
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cache_entry.drop_from_cache()
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# Check mem allocation periodically if we are evicting a bunch of caches
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if jemalloc_interface and evicting_due_to_memory and (i + 1) % 100 == 0:
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try:
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jemalloc_interface.refresh_stats()
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mem_usage = jemalloc_interface.get_stat("allocated")
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if mem_usage < target_cache_memory_usage:
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evicting_due_to_memory = False
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logger.info("Stop memory-based cache eviction.")
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except Exception:
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logger.warning(
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"Unable to read allocated memory, this may affect memory-based cache eviction."
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)
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# If we've failed to read the current memory usage then we
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# should stop trying to evict based on memory usage
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evicting_due_to_memory = False
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# If we do lots of work at once we yield to allow other stuff to happen.
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if (i + 1) % 10000 == 0:
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logger.debug("Waiting during drop")
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if node.last_access_ts_secs > now - expiry_seconds:
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await clock.sleep(0.5)
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else:
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await clock.sleep(0)
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logger.debug("Waking during drop")
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node = next_node
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# If we've yielded then our current node may have been evicted, so we
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# need to check that its still valid.
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if node.prev_node is None:
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break
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i += 1
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logger.info("Dropped %d items from caches", i)
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def setup_expire_lru_cache_entries(hs: "HomeServer") -> None:
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"""Start a background job that expires all cache entries if they have not
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been accessed for the given number of seconds, or if a given memory usage threshold has been
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breached.
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"""
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if not hs.config.caches.expiry_time_msec and not hs.config.caches.cache_autotuning:
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return
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if hs.config.caches.expiry_time_msec:
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expiry_time = hs.config.caches.expiry_time_msec / 1000
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logger.info("Expiring LRU caches after %d seconds", expiry_time)
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else:
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expiry_time = math.inf
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global USE_GLOBAL_LIST
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USE_GLOBAL_LIST = True
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clock = hs.get_clock()
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clock.looping_call(
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_expire_old_entries,
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30 * 1000,
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clock,
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expiry_time,
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hs.config.caches.cache_autotuning,
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)
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class _Node(Generic[KT, VT]):
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__slots__ = [
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"_list_node",
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"_global_list_node",
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"_cache",
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"key",
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"value",
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"callbacks",
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"memory",
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]
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def __init__(
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self,
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root: "ListNode[_Node]",
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key: KT,
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value: VT,
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cache: "weakref.ReferenceType[LruCache[KT, VT]]",
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clock: Clock,
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callbacks: Collection[Callable[[], None]] = (),
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prune_unread_entries: bool = True,
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):
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self._list_node = ListNode.insert_after(self, root)
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self._global_list_node: Optional[_TimedListNode] = None
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if USE_GLOBAL_LIST and prune_unread_entries:
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self._global_list_node = _TimedListNode.insert_after(self, GLOBAL_ROOT)
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self._global_list_node.update_last_access(clock)
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# We store a weak reference to the cache object so that this _Node can
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# remove itself from the cache. If the cache is dropped we ensure we
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# remove our entries in the lists.
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self._cache = cache
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self.key = key
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self.value = value
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# Set of callbacks to run when the node gets deleted. We store as a list
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# rather than a set to keep memory usage down (and since we expect few
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# entries per node, the performance of checking for duplication in a
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# list vs using a set is negligible).
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#
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# Note that we store this as an optional list to keep the memory
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# footprint down. Storing `None` is free as its a singleton, while empty
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# lists are 56 bytes (and empty sets are 216 bytes, if we did the naive
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# thing and used sets).
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self.callbacks: Optional[List[Callable[[], None]]] = None
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self.add_callbacks(callbacks)
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self.memory = 0
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if caches.TRACK_MEMORY_USAGE:
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self.memory = (
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_get_size_of(key)
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+ _get_size_of(value)
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+ _get_size_of(self._list_node, recurse=False)
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+ _get_size_of(self.callbacks, recurse=False)
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+ _get_size_of(self, recurse=False)
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)
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self.memory += _get_size_of(self.memory, recurse=False)
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if self._global_list_node:
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self.memory += _get_size_of(self._global_list_node, recurse=False)
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self.memory += _get_size_of(self._global_list_node.last_access_ts_secs)
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def add_callbacks(self, callbacks: Collection[Callable[[], None]]) -> None:
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"""Add to stored list of callbacks, removing duplicates."""
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if not callbacks:
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return
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if not self.callbacks:
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self.callbacks = []
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for callback in callbacks:
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if callback not in self.callbacks:
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self.callbacks.append(callback)
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def run_and_clear_callbacks(self) -> None:
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"""Run all callbacks and clear the stored list of callbacks. Used when
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the node is being deleted.
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"""
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if not self.callbacks:
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return
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for callback in self.callbacks:
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callback()
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self.callbacks = None
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def drop_from_cache(self) -> None:
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"""Drop this node from the cache.
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Ensures that the entry gets removed from the cache and that we get
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removed from all lists.
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"""
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cache = self._cache()
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if (
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cache is None
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or cache.pop(self.key, _Sentinel.sentinel) is _Sentinel.sentinel
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):
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# `cache.pop` should call `drop_from_lists()`, unless this Node had
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# already been removed from the cache.
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self.drop_from_lists()
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def drop_from_lists(self) -> None:
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"""Remove this node from the cache lists."""
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self._list_node.remove_from_list()
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if self._global_list_node:
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self._global_list_node.remove_from_list()
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def move_to_front(self, clock: Clock, cache_list_root: ListNode) -> None:
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"""Moves this node to the front of all the lists its in."""
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self._list_node.move_after(cache_list_root)
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if self._global_list_node:
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self._global_list_node.move_after(GLOBAL_ROOT)
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self._global_list_node.update_last_access(clock)
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class _Sentinel(Enum):
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# defining a sentinel in this way allows mypy to correctly handle the
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# type of a dictionary lookup.
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sentinel = object()
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class LruCache(Generic[KT, VT]):
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"""
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Least-recently-used cache, supporting prometheus metrics and invalidation callbacks.
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If cache_type=TreeCache, all keys must be tuples.
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"""
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def __init__(
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self,
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max_size: int,
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cache_name: Optional[str] = None,
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cache_type: Type[Union[dict, TreeCache]] = dict,
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size_callback: Optional[Callable[[VT], int]] = None,
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metrics_collection_callback: Optional[Callable[[], None]] = None,
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apply_cache_factor_from_config: bool = True,
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clock: Optional[Clock] = None,
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prune_unread_entries: bool = True,
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):
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"""
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Args:
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max_size: The maximum amount of entries the cache can hold
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cache_name: The name of this cache, for the prometheus metrics. If unset,
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no metrics will be reported on this cache.
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cache_type:
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type of underlying cache to be used. Typically one of dict
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or TreeCache.
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size_callback:
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metrics_collection_callback:
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metrics collection callback. This is called early in the metrics
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collection process, before any of the metrics registered with the
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prometheus Registry are collected, so can be used to update any dynamic
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metrics.
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Ignored if cache_name is None.
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apply_cache_factor_from_config: If true, `max_size` will be
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multiplied by a cache factor derived from the homeserver config
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clock:
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prune_unread_entries: If True, cache entries that haven't been read recently
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will be evicted from the cache in the background. Set to False to
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opt-out of this behaviour.
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"""
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# Default `clock` to something sensible. Note that we rename it to
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# `real_clock` so that mypy doesn't think its still `Optional`.
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if clock is None:
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real_clock = Clock(cast(IReactorTime, reactor))
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else:
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real_clock = clock
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cache: Union[Dict[KT, _Node[KT, VT]], TreeCache] = cache_type()
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self.cache = cache # Used for introspection.
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self.apply_cache_factor_from_config = apply_cache_factor_from_config
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# Save the original max size, and apply the default size factor.
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self._original_max_size = max_size
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# We previously didn't apply the cache factor here, and as such some caches were
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# not affected by the global cache factor. Add an option here to disable applying
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# the cache factor when a cache is created
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if apply_cache_factor_from_config:
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self.max_size = int(max_size * cache_config.properties.default_factor_size)
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else:
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self.max_size = int(max_size)
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# register_cache might call our "set_cache_factor" callback; there's nothing to
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# do yet when we get resized.
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self._on_resize: Optional[Callable[[], None]] = None
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if cache_name is not None:
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metrics: Optional[CacheMetric] = register_cache(
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"lru_cache",
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cache_name,
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self,
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collect_callback=metrics_collection_callback,
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)
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else:
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metrics = None
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# this is exposed for access from outside this class
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self.metrics = metrics
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# We create a single weakref to self here so that we don't need to keep
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# creating more each time we create a `_Node`.
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weak_ref_to_self = weakref.ref(self)
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list_root = ListNode[_Node[KT, VT]].create_root_node()
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lock = threading.Lock()
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def evict() -> None:
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while cache_len() > self.max_size:
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# Get the last node in the list (i.e. the oldest node).
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todelete = list_root.prev_node
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# The list root should always have a valid `prev_node` if the
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# cache is not empty.
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assert todelete is not None
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# The node should always have a reference to a cache entry, as
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# we only drop the cache entry when we remove the node from the
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# list.
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node = todelete.get_cache_entry()
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assert node is not None
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evicted_len = delete_node(node)
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cache.pop(node.key, None)
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if metrics:
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metrics.inc_evictions(EvictionReason.size, evicted_len)
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def synchronized(f: FT) -> FT:
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@wraps(f)
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def inner(*args: Any, **kwargs: Any) -> Any:
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with lock:
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return f(*args, **kwargs)
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return cast(FT, inner)
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cached_cache_len = [0]
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if size_callback is not None:
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def cache_len() -> int:
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return cached_cache_len[0]
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else:
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def cache_len() -> int:
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return len(cache)
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self.len = synchronized(cache_len)
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def add_node(
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key: KT, value: VT, callbacks: Collection[Callable[[], None]] = ()
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) -> None:
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node: _Node[KT, VT] = _Node(
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list_root,
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key,
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value,
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weak_ref_to_self,
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real_clock,
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callbacks,
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prune_unread_entries,
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)
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cache[key] = node
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if size_callback:
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cached_cache_len[0] += size_callback(node.value)
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if caches.TRACK_MEMORY_USAGE and metrics:
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metrics.inc_memory_usage(node.memory)
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def move_node_to_front(node: _Node[KT, VT]) -> None:
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node.move_to_front(real_clock, list_root)
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|
def delete_node(node: _Node[KT, VT]) -> int:
|
|
node.drop_from_lists()
|
|
|
|
deleted_len = 1
|
|
if size_callback:
|
|
deleted_len = size_callback(node.value)
|
|
cached_cache_len[0] -= deleted_len
|
|
|
|
node.run_and_clear_callbacks()
|
|
|
|
if caches.TRACK_MEMORY_USAGE and metrics:
|
|
metrics.dec_memory_usage(node.memory)
|
|
|
|
return deleted_len
|
|
|
|
@overload
|
|
def cache_get(
|
|
key: KT,
|
|
default: Literal[None] = None,
|
|
callbacks: Collection[Callable[[], None]] = ...,
|
|
update_metrics: bool = ...,
|
|
update_last_access: bool = ...,
|
|
) -> Optional[VT]:
|
|
...
|
|
|
|
@overload
|
|
def cache_get(
|
|
key: KT,
|
|
default: T,
|
|
callbacks: Collection[Callable[[], None]] = ...,
|
|
update_metrics: bool = ...,
|
|
update_last_access: bool = ...,
|
|
) -> Union[T, VT]:
|
|
...
|
|
|
|
@synchronized
|
|
def cache_get(
|
|
key: KT,
|
|
default: Optional[T] = None,
|
|
callbacks: Collection[Callable[[], None]] = (),
|
|
update_metrics: bool = True,
|
|
update_last_access: bool = True,
|
|
) -> Union[None, T, VT]:
|
|
"""Look up a key in the cache
|
|
|
|
Args:
|
|
key
|
|
default
|
|
callbacks: A collection of callbacks that will fire when the
|
|
node is removed from the cache (either due to invalidation
|
|
or expiry).
|
|
update_metrics: Whether to update the hit rate metrics
|
|
update_last_access: Whether to update the last access metrics
|
|
on a node if successfully fetched. These metrics are used
|
|
to determine when to remove the node from the cache. Set
|
|
to False if this fetch should *not* prevent a node from
|
|
being expired.
|
|
"""
|
|
node = cache.get(key, None)
|
|
if node is not None:
|
|
if update_last_access:
|
|
move_node_to_front(node)
|
|
node.add_callbacks(callbacks)
|
|
if update_metrics and metrics:
|
|
metrics.inc_hits()
|
|
return node.value
|
|
else:
|
|
if update_metrics and metrics:
|
|
metrics.inc_misses()
|
|
return default
|
|
|
|
@overload
|
|
def cache_get_multi(
|
|
key: tuple,
|
|
default: Literal[None] = None,
|
|
update_metrics: bool = True,
|
|
) -> Union[None, Iterable[Tuple[KT, VT]]]:
|
|
...
|
|
|
|
@overload
|
|
def cache_get_multi(
|
|
key: tuple,
|
|
default: T,
|
|
update_metrics: bool = True,
|
|
) -> Union[T, Iterable[Tuple[KT, VT]]]:
|
|
...
|
|
|
|
@synchronized
|
|
def cache_get_multi(
|
|
key: tuple,
|
|
default: Optional[T] = None,
|
|
update_metrics: bool = True,
|
|
) -> Union[None, T, Iterable[Tuple[KT, VT]]]:
|
|
"""Returns a generator yielding all entries under the given key.
|
|
|
|
Can only be used if backed by a tree cache.
|
|
|
|
Example:
|
|
|
|
cache = LruCache(10, cache_type=TreeCache)
|
|
cache[(1, 1)] = "a"
|
|
cache[(1, 2)] = "b"
|
|
cache[(2, 1)] = "c"
|
|
|
|
items = cache.get_multi((1,))
|
|
assert list(items) == [((1, 1), "a"), ((1, 2), "b")]
|
|
|
|
Returns:
|
|
Either default if the key doesn't exist, or a generator of the
|
|
key/value pairs.
|
|
"""
|
|
|
|
assert isinstance(cache, TreeCache)
|
|
|
|
node = cache.get(key, None)
|
|
if node is not None:
|
|
if update_metrics and metrics:
|
|
metrics.inc_hits()
|
|
|
|
# We store entries in the `TreeCache` with values of type `_Node`,
|
|
# which we need to unwrap.
|
|
return (
|
|
(full_key, lru_node.value)
|
|
for full_key, lru_node in iterate_tree_cache_items(key, node)
|
|
)
|
|
else:
|
|
if update_metrics and metrics:
|
|
metrics.inc_misses()
|
|
return default
|
|
|
|
@synchronized
|
|
def cache_set(
|
|
key: KT, value: VT, callbacks: Collection[Callable[[], None]] = ()
|
|
) -> None:
|
|
node = cache.get(key, None)
|
|
if node is not None:
|
|
# We sometimes store large objects, e.g. dicts, which cause
|
|
# the inequality check to take a long time. So let's only do
|
|
# the check if we have some callbacks to call.
|
|
if value != node.value:
|
|
node.run_and_clear_callbacks()
|
|
|
|
# We don't bother to protect this by value != node.value as
|
|
# generally size_callback will be cheap compared with equality
|
|
# checks. (For example, taking the size of two dicts is quicker
|
|
# than comparing them for equality.)
|
|
if size_callback:
|
|
cached_cache_len[0] -= size_callback(node.value)
|
|
cached_cache_len[0] += size_callback(value)
|
|
|
|
node.add_callbacks(callbacks)
|
|
|
|
move_node_to_front(node)
|
|
node.value = value
|
|
else:
|
|
add_node(key, value, set(callbacks))
|
|
|
|
evict()
|
|
|
|
@synchronized
|
|
def cache_set_default(key: KT, value: VT) -> VT:
|
|
node = cache.get(key, None)
|
|
if node is not None:
|
|
return node.value
|
|
else:
|
|
add_node(key, value)
|
|
evict()
|
|
return value
|
|
|
|
@overload
|
|
def cache_pop(key: KT, default: Literal[None] = None) -> Optional[VT]:
|
|
...
|
|
|
|
@overload
|
|
def cache_pop(key: KT, default: T) -> Union[T, VT]:
|
|
...
|
|
|
|
@synchronized
|
|
def cache_pop(key: KT, default: Optional[T] = None) -> Union[None, T, VT]:
|
|
node = cache.get(key, None)
|
|
if node:
|
|
evicted_len = delete_node(node)
|
|
cache.pop(node.key, None)
|
|
if metrics:
|
|
metrics.inc_evictions(EvictionReason.invalidation, evicted_len)
|
|
return node.value
|
|
else:
|
|
return default
|
|
|
|
@synchronized
|
|
def cache_del_multi(key: KT) -> None:
|
|
"""Delete an entry, or tree of entries
|
|
|
|
If the LruCache is backed by a regular dict, then "key" must be of
|
|
the right type for this cache
|
|
|
|
If the LruCache is backed by a TreeCache, then "key" must be a tuple, but
|
|
may be of lower cardinality than the TreeCache - in which case the whole
|
|
subtree is deleted.
|
|
"""
|
|
popped = cache.pop(key, None)
|
|
if popped is None:
|
|
return
|
|
# for each deleted node, we now need to remove it from the linked list
|
|
# and run its callbacks.
|
|
for leaf in iterate_tree_cache_entry(popped):
|
|
delete_node(leaf)
|
|
|
|
@synchronized
|
|
def cache_clear() -> None:
|
|
for node in cache.values():
|
|
node.run_and_clear_callbacks()
|
|
node.drop_from_lists()
|
|
|
|
assert list_root.next_node == list_root
|
|
assert list_root.prev_node == list_root
|
|
|
|
cache.clear()
|
|
if size_callback:
|
|
cached_cache_len[0] = 0
|
|
|
|
if caches.TRACK_MEMORY_USAGE and metrics:
|
|
metrics.clear_memory_usage()
|
|
|
|
@synchronized
|
|
def cache_contains(key: KT) -> bool:
|
|
return key in cache
|
|
|
|
# make sure that we clear out any excess entries after we get resized.
|
|
self._on_resize = evict
|
|
|
|
self.get = cache_get
|
|
self.set = cache_set
|
|
self.setdefault = cache_set_default
|
|
self.pop = cache_pop
|
|
self.del_multi = cache_del_multi
|
|
if cache_type is TreeCache:
|
|
self.get_multi = cache_get_multi
|
|
# `invalidate` is exposed for consistency with DeferredCache, so that it can be
|
|
# invalidated by the cache invalidation replication stream.
|
|
self.invalidate = cache_del_multi
|
|
self.len = synchronized(cache_len)
|
|
self.contains = cache_contains
|
|
self.clear = cache_clear
|
|
|
|
def __getitem__(self, key: KT) -> VT:
|
|
result = self.get(key, _Sentinel.sentinel)
|
|
if result is _Sentinel.sentinel:
|
|
raise KeyError()
|
|
else:
|
|
return result
|
|
|
|
def __setitem__(self, key: KT, value: VT) -> None:
|
|
self.set(key, value)
|
|
|
|
def __delitem__(self, key: KT, value: VT) -> None:
|
|
result = self.pop(key, _Sentinel.sentinel)
|
|
if result is _Sentinel.sentinel:
|
|
raise KeyError()
|
|
|
|
def __len__(self) -> int:
|
|
return self.len()
|
|
|
|
def __contains__(self, key: KT) -> bool:
|
|
return self.contains(key)
|
|
|
|
def set_cache_factor(self, factor: float) -> bool:
|
|
"""
|
|
Set the cache factor for this individual cache.
|
|
|
|
This will trigger a resize if it changes, which may require evicting
|
|
items from the cache.
|
|
|
|
Returns:
|
|
Whether the cache changed size or not.
|
|
"""
|
|
if not self.apply_cache_factor_from_config:
|
|
return False
|
|
|
|
new_size = int(self._original_max_size * factor)
|
|
if new_size != self.max_size:
|
|
self.max_size = new_size
|
|
if self._on_resize:
|
|
self._on_resize()
|
|
return True
|
|
return False
|
|
|
|
def __del__(self) -> None:
|
|
# We're about to be deleted, so we make sure to clear up all the nodes
|
|
# and run callbacks, etc.
|
|
#
|
|
# This happens e.g. in the sync code where we have an expiring cache of
|
|
# lru caches.
|
|
self.clear()
|
|
|
|
|
|
class AsyncLruCache(Generic[KT, VT]):
|
|
"""
|
|
An asynchronous wrapper around a subset of the LruCache API.
|
|
|
|
On its own this doesn't change the behaviour but allows subclasses that
|
|
utilize external cache systems that require await behaviour to be created.
|
|
"""
|
|
|
|
def __init__(self, *args, **kwargs): # type: ignore
|
|
self._lru_cache: LruCache[KT, VT] = LruCache(*args, **kwargs)
|
|
|
|
async def get(
|
|
self, key: KT, default: Optional[T] = None, update_metrics: bool = True
|
|
) -> Optional[VT]:
|
|
return self._lru_cache.get(key, update_metrics=update_metrics)
|
|
|
|
async def get_external(
|
|
self,
|
|
key: KT,
|
|
default: Optional[T] = None,
|
|
update_metrics: bool = True,
|
|
) -> Optional[VT]:
|
|
# This method should fetch from any configured external cache, in this case noop.
|
|
return None
|
|
|
|
def get_local(
|
|
self, key: KT, default: Optional[T] = None, update_metrics: bool = True
|
|
) -> Optional[VT]:
|
|
return self._lru_cache.get(key, update_metrics=update_metrics)
|
|
|
|
async def set(self, key: KT, value: VT) -> None:
|
|
self._lru_cache.set(key, value)
|
|
|
|
def set_local(self, key: KT, value: VT) -> None:
|
|
self._lru_cache.set(key, value)
|
|
|
|
async def invalidate(self, key: KT) -> None:
|
|
# This method should invalidate any external cache and then invalidate the LruCache.
|
|
return self._lru_cache.invalidate(key)
|
|
|
|
def invalidate_local(self, key: KT) -> None:
|
|
"""Remove an entry from the local cache
|
|
|
|
This variant of `invalidate` is useful if we know that the external
|
|
cache has already been invalidated.
|
|
"""
|
|
return self._lru_cache.invalidate(key)
|
|
|
|
async def contains(self, key: KT) -> bool:
|
|
return self._lru_cache.contains(key)
|
|
|
|
async def clear(self) -> None:
|
|
self._lru_cache.clear()
|