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Allow configuration of Synapse's cache without using synctl or enviro…
…nment variables (matrix-org#6391)
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Synapse's cache factor can now be configured in `homeserver.yaml` by the `caches.global_factor` setting. Additionally, `caches.per_cache_factors` controls the cache factors for individual caches. |
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# -*- coding: utf-8 -*- | ||
# Copyright 2019 Matrix.org Foundation C.I.C. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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import os | ||
from typing import Callable, Dict | ||
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from ._base import Config, ConfigError | ||
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# The prefix for all cache factor-related environment variables | ||
_CACHES = {} | ||
_CACHE_PREFIX = "SYNAPSE_CACHE_FACTOR" | ||
_DEFAULT_FACTOR_SIZE = 0.5 | ||
_DEFAULT_EVENT_CACHE_SIZE = "10K" | ||
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class CacheProperties(object): | ||
def __init__(self): | ||
# The default factor size for all caches | ||
self.default_factor_size = float( | ||
os.environ.get(_CACHE_PREFIX, _DEFAULT_FACTOR_SIZE) | ||
) | ||
self.resize_all_caches_func = None | ||
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properties = CacheProperties() | ||
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def add_resizable_cache(cache_name: str, cache_resize_callback: Callable): | ||
"""Register a cache that's size can dynamically change | ||
Args: | ||
cache_name: A reference to the cache | ||
cache_resize_callback: A callback function that will be ran whenever | ||
the cache needs to be resized | ||
""" | ||
_CACHES[cache_name.lower()] = cache_resize_callback | ||
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# Ensure all loaded caches are sized appropriately | ||
# | ||
# This method should only run once the config has been read, | ||
# as it uses values read from it | ||
if properties.resize_all_caches_func: | ||
properties.resize_all_caches_func() | ||
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class CacheConfig(Config): | ||
section = "caches" | ||
_environ = os.environ | ||
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@staticmethod | ||
def reset(): | ||
"""Resets the caches to their defaults. Used for tests.""" | ||
properties.default_factor_size = float( | ||
os.environ.get(_CACHE_PREFIX, _DEFAULT_FACTOR_SIZE) | ||
) | ||
properties.resize_all_caches_func = None | ||
_CACHES.clear() | ||
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def generate_config_section(self, **kwargs): | ||
return """\ | ||
## Caching ## | ||
# Caching can be configured through the following options. | ||
# | ||
# A cache 'factor' is a multiplier that can be applied to each of | ||
# Synapse's caches in order to increase or decrease the maximum | ||
# number of entries that can be stored. | ||
# The number of events to cache in memory. Not affected by | ||
# caches.global_factor. | ||
# | ||
#event_cache_size: 10K | ||
caches: | ||
# Controls the global cache factor, which is the default cache factor | ||
# for all caches if a specific factor for that cache is not otherwise | ||
# set. | ||
# | ||
# This can also be set by the "SYNAPSE_CACHE_FACTOR" environment | ||
# variable. Setting by environment variable takes priority over | ||
# setting through the config file. | ||
# | ||
# Defaults to 0.5, which will half the size of all caches. | ||
# | ||
#global_factor: 1.0 | ||
# A dictionary of cache name to cache factor for that individual | ||
# cache. Overrides the global cache factor for a given cache. | ||
# | ||
# These can also be set through environment variables comprised | ||
# of "SYNAPSE_CACHE_FACTOR_" + the name of the cache in capital | ||
# letters and underscores. Setting by environment variable | ||
# takes priority over setting through the config file. | ||
# Ex. SYNAPSE_CACHE_FACTOR_GET_USERS_WHO_SHARE_ROOM_WITH_USER=2.0 | ||
# | ||
per_cache_factors: | ||
#get_users_who_share_room_with_user: 2.0 | ||
""" | ||
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def read_config(self, config, **kwargs): | ||
self.event_cache_size = self.parse_size( | ||
config.get("event_cache_size", _DEFAULT_EVENT_CACHE_SIZE) | ||
) | ||
self.cache_factors = {} # type: Dict[str, float] | ||
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cache_config = config.get("caches") or {} | ||
self.global_factor = cache_config.get( | ||
"global_factor", properties.default_factor_size | ||
) | ||
if not isinstance(self.global_factor, (int, float)): | ||
raise ConfigError("caches.global_factor must be a number.") | ||
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# Set the global one so that it's reflected in new caches | ||
properties.default_factor_size = self.global_factor | ||
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# Load cache factors from the config | ||
individual_factors = cache_config.get("per_cache_factors") or {} | ||
if not isinstance(individual_factors, dict): | ||
raise ConfigError("caches.per_cache_factors must be a dictionary") | ||
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# Override factors from environment if necessary | ||
individual_factors.update( | ||
{ | ||
key[len(_CACHE_PREFIX) + 1 :].lower(): float(val) | ||
for key, val in self._environ.items() | ||
if key.startswith(_CACHE_PREFIX + "_") | ||
} | ||
) | ||
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for cache, factor in individual_factors.items(): | ||
if not isinstance(factor, (int, float)): | ||
raise ConfigError( | ||
"caches.per_cache_factors.%s must be a number" % (cache.lower(),) | ||
) | ||
self.cache_factors[cache.lower()] = factor | ||
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# Resize all caches (if necessary) with the new factors we've loaded | ||
self.resize_all_caches() | ||
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# Store this function so that it can be called from other classes without | ||
# needing an instance of Config | ||
properties.resize_all_caches_func = self.resize_all_caches | ||
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def resize_all_caches(self): | ||
"""Ensure all cache sizes are up to date | ||
For each cache, run the mapped callback function with either | ||
a specific cache factor or the default, global one. | ||
""" | ||
for cache_name, callback in _CACHES.items(): | ||
new_factor = self.cache_factors.get(cache_name, self.global_factor) | ||
callback(new_factor) |
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