145 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			145 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			Python
		
	
	
# -*- coding: utf-8 -*-
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# 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 threading
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from collections import namedtuple
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from synapse.util.caches.lrucache import LruCache
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from . import register_cache
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logger = logging.getLogger(__name__)
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class DictionaryEntry(namedtuple("DictionaryEntry", ("full", "known_absent", "value"))):
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    """Returned when getting an entry from the cache
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    Attributes:
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        full (bool): Whether the cache has the full or dict or just some keys.
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            If not full then not all requested keys will necessarily be present
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            in `value`
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        known_absent (set): Keys that were looked up in the dict and were not
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            there.
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        value (dict): The full or partial dict value
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    """
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    def __len__(self):
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        return len(self.value)
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class DictionaryCache(object):
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    """Caches key -> dictionary lookups, supporting caching partial dicts, i.e.
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    fetching a subset of dictionary keys for a particular key.
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    """
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    def __init__(self, name, max_entries=1000):
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        self.cache = LruCache(max_size=max_entries, size_callback=len)
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        self.name = name
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        self.sequence = 0
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        self.thread = None
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        # caches_by_name[name] = self.cache
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        class Sentinel(object):
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            __slots__ = []
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        self.sentinel = Sentinel()
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        self.metrics = register_cache("dictionary", name, self.cache)
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    def check_thread(self):
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        expected_thread = self.thread
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        if expected_thread is None:
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            self.thread = threading.current_thread()
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        else:
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            if expected_thread is not threading.current_thread():
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                raise ValueError(
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                    "Cache objects can only be accessed from the main thread"
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                )
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    def get(self, key, dict_keys=None):
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        """Fetch an entry out of the cache
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        Args:
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            key
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            dict_key(list): If given a set of keys then return only those keys
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                that exist in the cache.
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        Returns:
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            DictionaryEntry
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        """
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        entry = self.cache.get(key, self.sentinel)
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        if entry is not self.sentinel:
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            self.metrics.inc_hits()
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            if dict_keys is None:
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                return DictionaryEntry(entry.full, entry.known_absent, dict(entry.value))
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            else:
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                return DictionaryEntry(entry.full, entry.known_absent, {
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                    k: entry.value[k]
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                    for k in dict_keys
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                    if k in entry.value
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                })
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        self.metrics.inc_misses()
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        return DictionaryEntry(False, set(), {})
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    def invalidate(self, key):
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        self.check_thread()
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        # Increment the sequence number so that any SELECT statements that
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        # raced with the INSERT don't update the cache (SYN-369)
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        self.sequence += 1
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        self.cache.pop(key, None)
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    def invalidate_all(self):
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        self.check_thread()
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        self.sequence += 1
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        self.cache.clear()
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    def update(self, sequence, key, value, fetched_keys=None):
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        """Updates the entry in the cache
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        Args:
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            sequence
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            key (K)
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            value (dict[X,Y]): The value to update the cache with.
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            fetched_keys (None|set[X]): All of the dictionary keys which were
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                fetched from the database.
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                If None, this is the complete value for key K. Otherwise, it
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                is used to infer a list of keys which we know don't exist in
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                the full dict.
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        """
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        self.check_thread()
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        if self.sequence == sequence:
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            # Only update the cache if the caches sequence number matches the
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            # number that the cache had before the SELECT was started (SYN-369)
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            if fetched_keys is None:
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                self._insert(key, value, set())
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            else:
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                self._update_or_insert(key, value, fetched_keys)
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    def _update_or_insert(self, key, value, known_absent):
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        # We pop and reinsert as we need to tell the cache the size may have
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        # changed
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        entry = self.cache.pop(key, DictionaryEntry(False, set(), {}))
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        entry.value.update(value)
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        entry.known_absent.update(known_absent)
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        self.cache[key] = entry
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    def _insert(self, key, value, known_absent):
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        self.cache[key] = DictionaryEntry(True, known_absent, value)
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