2014-10-15 03:04:55 -06:00
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# -*- coding: utf-8 -*-
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2016-01-06 21:26:29 -07:00
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# Copyright 2014-2016 OpenMarket Ltd
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2014-10-15 03:04:55 -06:00
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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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2017-11-13 03:30:38 -07:00
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import logging
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2018-07-09 00:09:20 -06:00
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from collections import namedtuple
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2014-10-15 03:04:55 -06:00
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2018-05-31 03:03:47 -06:00
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from six import iteritems, itervalues
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from six.moves import range
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2018-10-25 10:49:55 -06:00
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import attr
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2015-03-20 07:52:56 -06:00
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from twisted.internet import defer
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2018-07-25 15:10:39 -06:00
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from synapse.api.constants import EventTypes
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from synapse.api.errors import NotFoundError
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from synapse.storage._base import SQLBaseStore
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2017-11-09 12:00:20 -07:00
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from synapse.storage.background_updates import BackgroundUpdateStore
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2017-11-13 03:30:38 -07:00
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from synapse.storage.engines import PostgresEngine
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2018-07-25 15:10:39 -06:00
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from synapse.storage.events_worker import EventsWorkerStore
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2018-07-09 00:09:20 -06:00
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from synapse.util.caches import get_cache_factor_for, intern_string
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2017-11-13 03:30:38 -07:00
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from synapse.util.caches.descriptors import cached, cachedList
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from synapse.util.caches.dictionary_cache import DictionaryCache
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from synapse.util.stringutils import to_ascii
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2018-07-09 00:09:20 -06:00
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2015-01-06 04:18:12 -07:00
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logger = logging.getLogger(__name__)
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2014-10-15 03:04:55 -06:00
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2016-09-02 03:41:38 -06:00
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MAX_STATE_DELTA_HOPS = 100
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2017-06-09 09:24:00 -06:00
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class _GetStateGroupDelta(namedtuple("_GetStateGroupDelta", ("prev_group", "delta_ids"))):
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2017-06-09 09:25:42 -06:00
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"""Return type of get_state_group_delta that implements __len__, which lets
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us use the itrable flag when caching
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"""
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2017-06-09 09:24:00 -06:00
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__slots__ = []
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def __len__(self):
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return len(self.delta_ids) if self.delta_ids else 0
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2018-10-25 10:49:55 -06:00
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@attr.s(slots=True)
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class StateFilter(object):
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"""A filter used when querying for state.
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Attributes:
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types (dict[str, set[str]|None]): Map from type to set of state keys (or
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None). This specifies which state_keys for the given type to fetch
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from the DB. If None then all events with that type are fetched. If
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the set is empty then no events with that type are fetched.
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include_others (bool): Whether to fetch events with types that do not
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appear in `types`.
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"""
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types = attr.ib()
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include_others = attr.ib(default=False)
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def __attrs_post_init__(self):
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# If `include_others` is set we canonicalise the filter by removing
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# wildcards from the types dictionary
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if self.include_others:
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self.types = {
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k: v for k, v in iteritems(self.types)
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if v is not None
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}
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@staticmethod
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def all():
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"""Creates a filter that fetches everything.
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Returns:
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StateFilter
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"""
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return StateFilter(types={}, include_others=True)
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@staticmethod
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def none():
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"""Creates a filter that fetches nothing.
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Returns:
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StateFilter
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"""
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return StateFilter(types={}, include_others=False)
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@staticmethod
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def from_types(types):
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"""Creates a filter that only fetches the given types
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Args:
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types (Iterable[tuple[str, str|None]]): A list of type and state
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keys to fetch. A state_key of None fetches everything for
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that type
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Returns:
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StateFilter
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"""
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type_dict = {}
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for typ, s in types:
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if typ in type_dict:
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if type_dict[typ] is None:
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continue
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if s is None:
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type_dict[typ] = None
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continue
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type_dict.setdefault(typ, set()).add(s)
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return StateFilter(types=type_dict)
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@staticmethod
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def from_lazy_load_member_list(members):
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"""Creates a filter that returns all non-member events, plus the member
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events for the given users
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Args:
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members (iterable[str]): Set of user IDs
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Returns:
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StateFilter
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"""
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return StateFilter(
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types={EventTypes.Member: set(members)},
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include_others=True,
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)
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def return_expanded(self):
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"""Creates a new StateFilter where type wild cards have been removed
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(except for memberships). The returned filter is a superset of the
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current one, i.e. anything that passes the current filter will pass
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the returned filter.
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This helps the caching as the DictionaryCache knows if it has *all* the
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state, but does not know if it has all of the keys of a particular type,
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which makes wildcard lookups expensive unless we have a complete cache.
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Hence, if we are doing a wildcard lookup, populate the cache fully so
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that we can do an efficient lookup next time.
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Note that since we have two caches, one for membership events and one for
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other events, we can be a bit more clever than simply returning
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`StateFilter.all()` if `has_wildcards()` is True.
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We return a StateFilter where:
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1. the list of membership events to return is the same
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2. if there is a wildcard that matches non-member events we
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return all non-member events
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Returns:
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StateFilter
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"""
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if self.is_full():
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# If we're going to return everything then there's nothing to do
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return self
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if not self.has_wildcards():
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# If there are no wild cards, there's nothing to do
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return self
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if EventTypes.Member in self.types:
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get_all_members = self.types[EventTypes.Member] is None
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else:
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get_all_members = self.include_others
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has_non_member_wildcard = self.include_others or any(
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state_keys is None
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for t, state_keys in iteritems(self.types)
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if t != EventTypes.Member
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)
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if not has_non_member_wildcard:
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# If there are no non-member wild cards we can just return ourselves
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return self
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if get_all_members:
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# We want to return everything.
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return StateFilter.all()
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else:
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# We want to return all non-members, but only particular
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# memberships
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return StateFilter(
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types={EventTypes.Member: self.types[EventTypes.Member]},
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include_others=True,
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)
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def make_sql_filter_clause(self):
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"""Converts the filter to an SQL clause.
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For example:
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f = StateFilter.from_types([("m.room.create", "")])
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clause, args = f.make_sql_filter_clause()
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clause == "(type = ? AND state_key = ?)"
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args == ['m.room.create', '']
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Returns:
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tuple[str, list]: The SQL string (may be empty) and arguments. An
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empty SQL string is returned when the filter matches everything
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(i.e. is "full").
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"""
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where_clause = ""
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where_args = []
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if self.is_full():
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return where_clause, where_args
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if not self.include_others and not self.types:
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# i.e. this is an empty filter, so we need to return a clause that
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# will match nothing
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return "1 = 2", []
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# First we build up a lost of clauses for each type/state_key combo
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clauses = []
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for etype, state_keys in iteritems(self.types):
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if state_keys is None:
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clauses.append("(type = ?)")
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where_args.append(etype)
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continue
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for state_key in state_keys:
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clauses.append("(type = ? AND state_key = ?)")
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where_args.extend((etype, state_key))
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# This will match anything that appears in `self.types`
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where_clause = " OR ".join(clauses)
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# If we want to include stuff that's not in the types dict then we add
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# a `OR type NOT IN (...)` clause to the end.
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if self.include_others:
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if where_clause:
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where_clause += " OR "
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where_clause += "type NOT IN (%s)" % (
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",".join(["?"] * len(self.types)),
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)
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where_args.extend(self.types)
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return where_clause, where_args
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def max_entries_returned(self):
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"""Returns the maximum number of entries this filter will return if
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known, otherwise returns None.
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For example a simple state filter asking for `("m.room.create", "")`
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will return 1, whereas the default state filter will return None.
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This is used to bail out early if the right number of entries have been
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fetched.
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"""
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if self.has_wildcards():
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return None
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return len(self.concrete_types())
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def filter_state(self, state_dict):
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"""Returns the state filtered with by this StateFilter
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Args:
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state (dict[tuple[str, str], Any]): The state map to filter
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Returns:
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dict[tuple[str, str], Any]: The filtered state map
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"""
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if self.is_full():
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return dict(state_dict)
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filtered_state = {}
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for k, v in iteritems(state_dict):
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typ, state_key = k
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if typ in self.types:
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state_keys = self.types[typ]
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if state_keys is None or state_key in state_keys:
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filtered_state[k] = v
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elif self.include_others:
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filtered_state[k] = v
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return filtered_state
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def is_full(self):
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"""Whether this filter fetches everything or not
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Returns:
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bool
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"""
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return self.include_others and not self.types
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def has_wildcards(self):
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"""Whether the filter includes wildcards or is attempting to fetch
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specific state.
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Returns:
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bool
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"""
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return (
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self.include_others
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or any(
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state_keys is None
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for state_keys in itervalues(self.types)
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)
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)
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def concrete_types(self):
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"""Returns a list of concrete type/state_keys (i.e. not None) that
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will be fetched. This will be a complete list if `has_wildcards`
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returns False, but otherwise will be a subset (or even empty).
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Returns:
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list[tuple[str,str]]
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"""
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return [
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(t, s)
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for t, state_keys in iteritems(self.types)
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if state_keys is not None
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for s in state_keys
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]
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def get_member_split(self):
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"""Return the filter split into two: one which assumes it's exclusively
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matching against member state, and one which assumes it's matching
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against non member state.
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This is useful due to the returned filters giving correct results for
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`is_full()`, `has_wildcards()`, etc, when operating against maps that
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either exclusively contain member events or only contain non-member
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events. (Which is the case when dealing with the member vs non-member
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state caches).
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Returns:
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tuple[StateFilter, StateFilter]: The member and non member filters
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"""
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if EventTypes.Member in self.types:
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state_keys = self.types[EventTypes.Member]
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if state_keys is None:
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member_filter = StateFilter.all()
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else:
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member_filter = StateFilter({EventTypes.Member: state_keys})
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elif self.include_others:
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member_filter = StateFilter.all()
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else:
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member_filter = StateFilter.none()
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non_member_filter = StateFilter(
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types={k: v for k, v in iteritems(self.types) if k != EventTypes.Member},
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include_others=self.include_others,
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)
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return member_filter, non_member_filter
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2018-07-25 15:10:39 -06:00
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# this inherits from EventsWorkerStore because it calls self.get_events
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class StateGroupWorkerStore(EventsWorkerStore, SQLBaseStore):
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2018-02-06 07:31:24 -07:00
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"""The parts of StateGroupStore that can be called from workers.
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2014-11-12 07:33:34 -07:00
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"""
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2014-10-15 03:04:55 -06:00
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2016-09-05 02:34:24 -06:00
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STATE_GROUP_DEDUPLICATION_UPDATE_NAME = "state_group_state_deduplication"
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STATE_GROUP_INDEX_UPDATE_NAME = "state_group_state_type_index"
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2017-01-31 08:15:41 -07:00
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CURRENT_STATE_INDEX_UPDATE_NAME = "current_state_members_idx"
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2016-09-05 02:34:24 -06:00
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2017-11-09 11:51:27 -07:00
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def __init__(self, db_conn, hs):
|
2018-02-06 07:31:24 -07:00
|
|
|
super(StateGroupWorkerStore, self).__init__(db_conn, hs)
|
2016-09-05 02:34:24 -06:00
|
|
|
|
2018-08-21 16:56:37 -06:00
|
|
|
# Originally the state store used a single DictionaryCache to cache the
|
|
|
|
# event IDs for the state types in a given state group to avoid hammering
|
|
|
|
# on the state_group* tables.
|
|
|
|
#
|
|
|
|
# The point of using a DictionaryCache is that it can cache a subset
|
|
|
|
# of the state events for a given state group (i.e. a subset of the keys for a
|
|
|
|
# given dict which is an entry in the cache for a given state group ID).
|
|
|
|
#
|
|
|
|
# However, this poses problems when performing complicated queries
|
|
|
|
# on the store - for instance: "give me all the state for this group, but
|
|
|
|
# limit members to this subset of users", as DictionaryCache's API isn't
|
|
|
|
# rich enough to say "please cache any of these fields, apart from this subset".
|
|
|
|
# This is problematic when lazy loading members, which requires this behaviour,
|
|
|
|
# as without it the cache has no choice but to speculatively load all
|
|
|
|
# state events for the group, which negates the efficiency being sought.
|
|
|
|
#
|
|
|
|
# Rather than overcomplicating DictionaryCache's API, we instead split the
|
|
|
|
# state_group_cache into two halves - one for tracking non-member events,
|
|
|
|
# and the other for tracking member_events. This means that lazy loading
|
|
|
|
# queries can be made in a cache-friendly manner by querying both caches
|
|
|
|
# separately and then merging the result. So for the example above, you
|
|
|
|
# would query the members cache for a specific subset of state keys
|
|
|
|
# (which DictionaryCache will handle efficiently and fine) and the non-members
|
|
|
|
# cache for all state (which DictionaryCache will similarly handle fine)
|
|
|
|
# and then just merge the results together.
|
|
|
|
#
|
|
|
|
# We size the non-members cache to be smaller than the members cache as the
|
|
|
|
# vast majority of state in Matrix (today) is member events.
|
|
|
|
|
2017-11-13 03:30:38 -07:00
|
|
|
self._state_group_cache = DictionaryCache(
|
2018-08-21 16:56:37 -06:00
|
|
|
"*stateGroupCache*",
|
|
|
|
# TODO: this hasn't been tuned yet
|
|
|
|
50000 * get_cache_factor_for("stateGroupCache")
|
|
|
|
)
|
|
|
|
self._state_group_members_cache = DictionaryCache(
|
|
|
|
"*stateGroupMembersCache*",
|
|
|
|
500000 * get_cache_factor_for("stateGroupMembersCache")
|
2017-11-13 03:30:38 -07:00
|
|
|
)
|
|
|
|
|
2018-07-25 15:10:39 -06:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def get_room_version(self, room_id):
|
|
|
|
"""Get the room_version of a given room
|
|
|
|
|
|
|
|
Args:
|
|
|
|
room_id (str)
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[str]
|
|
|
|
|
|
|
|
Raises:
|
|
|
|
NotFoundError if the room is unknown
|
|
|
|
"""
|
|
|
|
# for now we do this by looking at the create event. We may want to cache this
|
|
|
|
# more intelligently in future.
|
|
|
|
state_ids = yield self.get_current_state_ids(room_id)
|
|
|
|
create_id = state_ids.get((EventTypes.Create, ""))
|
|
|
|
|
|
|
|
if not create_id:
|
2018-12-24 02:49:42 -07:00
|
|
|
raise NotFoundError("Unknown room %s" % (room_id))
|
2018-07-25 15:10:39 -06:00
|
|
|
|
|
|
|
create_event = yield self.get_event(create_id)
|
|
|
|
defer.returnValue(create_event.content.get("room_version", "1"))
|
|
|
|
|
2019-01-22 04:12:48 -07:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def get_room_predecessor(self, room_id):
|
|
|
|
"""Get the predecessor room of an upgraded room if one exists.
|
|
|
|
Otherwise return None.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
room_id (str)
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[str]: predecessor room id
|
|
|
|
"""
|
|
|
|
state_ids = yield self.get_current_state_ids(room_id)
|
|
|
|
create_id = state_ids.get((EventTypes.Create, ""))
|
|
|
|
|
|
|
|
# If we can't find the create event, assume we've hit a dead end
|
|
|
|
if not create_id:
|
|
|
|
return None
|
|
|
|
|
|
|
|
# Retrieve the room's create event
|
|
|
|
create_event = yield self.get_event(create_id)
|
|
|
|
|
|
|
|
if not create_event:
|
|
|
|
return None
|
|
|
|
|
|
|
|
# Return predecessor if present
|
|
|
|
return create_event.content.get("predecessor", None)
|
|
|
|
|
2017-04-07 03:10:49 -06:00
|
|
|
@cached(max_entries=100000, iterable=True)
|
2017-03-10 10:39:35 -07:00
|
|
|
def get_current_state_ids(self, room_id):
|
2017-04-07 06:47:04 -06:00
|
|
|
"""Get the current state event ids for a room based on the
|
|
|
|
current_state_events table.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
room_id (str)
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
deferred: dict of (type, state_key) -> event_id
|
|
|
|
"""
|
2017-04-07 03:10:49 -06:00
|
|
|
def _get_current_state_ids_txn(txn):
|
|
|
|
txn.execute(
|
|
|
|
"""SELECT type, state_key, event_id FROM current_state_events
|
|
|
|
WHERE room_id = ?
|
|
|
|
""",
|
|
|
|
(room_id,)
|
|
|
|
)
|
|
|
|
|
|
|
|
return {
|
2017-04-25 10:22:55 -06:00
|
|
|
(intern_string(r[0]), intern_string(r[1])): to_ascii(r[2]) for r in txn
|
2017-04-07 03:10:49 -06:00
|
|
|
}
|
|
|
|
|
|
|
|
return self.runInteraction(
|
|
|
|
"get_current_state_ids",
|
|
|
|
_get_current_state_ids_txn,
|
2017-03-10 10:39:35 -07:00
|
|
|
)
|
|
|
|
|
2018-08-15 09:35:22 -06:00
|
|
|
# FIXME: how should this be cached?
|
2018-10-25 10:49:55 -06:00
|
|
|
def get_filtered_current_state_ids(self, room_id, state_filter=StateFilter.all()):
|
2018-08-15 09:35:22 -06:00
|
|
|
"""Get the current state event of a given type for a room based on the
|
|
|
|
current_state_events table. This may not be as up-to-date as the result
|
|
|
|
of doing a fresh state resolution as per state_handler.get_current_state
|
2018-10-25 10:49:55 -06:00
|
|
|
|
2018-08-15 09:35:22 -06:00
|
|
|
Args:
|
|
|
|
room_id (str)
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
|
|
|
|
2018-08-15 09:35:22 -06:00
|
|
|
Returns:
|
2018-10-25 10:49:55 -06:00
|
|
|
Deferred[dict[tuple[str, str], str]]: Map from type/state_key to
|
|
|
|
event ID.
|
2018-08-15 09:35:22 -06:00
|
|
|
"""
|
|
|
|
|
|
|
|
def _get_filtered_current_state_ids_txn(txn):
|
|
|
|
results = {}
|
2018-10-25 10:49:55 -06:00
|
|
|
sql = """
|
|
|
|
SELECT type, state_key, event_id FROM current_state_events
|
|
|
|
WHERE room_id = ?
|
|
|
|
"""
|
|
|
|
|
|
|
|
where_clause, where_args = state_filter.make_sql_filter_clause()
|
|
|
|
|
|
|
|
if where_clause:
|
|
|
|
sql += " AND (%s)" % (where_clause,)
|
|
|
|
|
|
|
|
args = [room_id]
|
|
|
|
args.extend(where_args)
|
|
|
|
txn.execute(sql, args)
|
|
|
|
for row in txn:
|
|
|
|
typ, state_key, event_id = row
|
|
|
|
key = (intern_string(typ), intern_string(state_key))
|
|
|
|
results[key] = event_id
|
|
|
|
|
2018-08-15 09:35:22 -06:00
|
|
|
return results
|
|
|
|
|
|
|
|
return self.runInteraction(
|
|
|
|
"get_filtered_current_state_ids",
|
|
|
|
_get_filtered_current_state_ids_txn,
|
|
|
|
)
|
|
|
|
|
2017-06-09 09:24:00 -06:00
|
|
|
@cached(max_entries=10000, iterable=True)
|
2017-05-25 10:08:41 -06:00
|
|
|
def get_state_group_delta(self, state_group):
|
2017-06-07 04:08:36 -06:00
|
|
|
"""Given a state group try to return a previous group and a delta between
|
|
|
|
the old and the new.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
(prev_group, delta_ids), where both may be None.
|
|
|
|
"""
|
2017-05-25 10:08:41 -06:00
|
|
|
def _get_state_group_delta_txn(txn):
|
|
|
|
prev_group = self._simple_select_one_onecol_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
keyvalues={
|
|
|
|
"state_group": state_group,
|
|
|
|
},
|
|
|
|
retcol="prev_state_group",
|
|
|
|
allow_none=True,
|
|
|
|
)
|
|
|
|
|
|
|
|
if not prev_group:
|
2017-06-09 09:24:00 -06:00
|
|
|
return _GetStateGroupDelta(None, None)
|
2017-05-25 10:08:41 -06:00
|
|
|
|
|
|
|
delta_ids = self._simple_select_list_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups_state",
|
|
|
|
keyvalues={
|
|
|
|
"state_group": state_group,
|
|
|
|
},
|
|
|
|
retcols=("type", "state_key", "event_id",)
|
|
|
|
)
|
|
|
|
|
2017-06-09 09:24:00 -06:00
|
|
|
return _GetStateGroupDelta(prev_group, {
|
2017-05-25 10:08:41 -06:00
|
|
|
(row["type"], row["state_key"]): row["event_id"]
|
|
|
|
for row in delta_ids
|
2017-06-09 09:24:00 -06:00
|
|
|
})
|
2017-05-25 10:08:41 -06:00
|
|
|
return self.runInteraction(
|
|
|
|
"get_state_group_delta",
|
|
|
|
_get_state_group_delta_txn,
|
|
|
|
)
|
|
|
|
|
2015-05-13 04:13:31 -06:00
|
|
|
@defer.inlineCallbacks
|
2018-09-27 04:22:25 -06:00
|
|
|
def get_state_groups_ids(self, _room_id, event_ids):
|
|
|
|
"""Get the event IDs of all the state for the state groups for the given events
|
|
|
|
|
|
|
|
Args:
|
|
|
|
_room_id (str): id of the room for these events
|
|
|
|
event_ids (iterable[str]): ids of the events
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[dict[int, dict[tuple[str, str], str]]]:
|
|
|
|
dict of state_group_id -> (dict of (type, state_key) -> event id)
|
|
|
|
"""
|
2015-08-07 11:15:30 -06:00
|
|
|
if not event_ids:
|
|
|
|
defer.returnValue({})
|
2014-11-12 07:33:34 -07:00
|
|
|
|
2015-08-07 11:15:30 -06:00
|
|
|
event_to_groups = yield self._get_state_group_for_events(
|
2015-10-12 08:06:14 -06:00
|
|
|
event_ids,
|
2015-08-07 11:15:30 -06:00
|
|
|
)
|
2014-11-12 07:33:34 -07:00
|
|
|
|
2018-05-31 03:03:47 -06:00
|
|
|
groups = set(itervalues(event_to_groups))
|
2015-08-07 11:15:30 -06:00
|
|
|
group_to_state = yield self._get_state_for_groups(groups)
|
2015-05-13 04:29:03 -06:00
|
|
|
|
2016-08-25 06:28:31 -06:00
|
|
|
defer.returnValue(group_to_state)
|
|
|
|
|
2018-02-15 06:53:18 -07:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def get_state_ids_for_group(self, state_group):
|
2018-09-27 04:22:25 -06:00
|
|
|
"""Get the event IDs of all the state in the given state group
|
2018-02-15 06:53:18 -07:00
|
|
|
|
|
|
|
Args:
|
|
|
|
state_group (int)
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[dict]: Resolves to a map of (type, state_key) -> event_id
|
|
|
|
"""
|
|
|
|
group_to_state = yield self._get_state_for_groups((state_group,))
|
|
|
|
|
|
|
|
defer.returnValue(group_to_state[state_group])
|
|
|
|
|
2016-08-25 06:28:31 -06:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def get_state_groups(self, room_id, event_ids):
|
|
|
|
""" Get the state groups for the given list of event_ids
|
|
|
|
|
2018-09-27 04:22:25 -06:00
|
|
|
Returns:
|
|
|
|
Deferred[dict[int, list[EventBase]]]:
|
|
|
|
dict of state_group_id -> list of state events.
|
2016-08-25 06:28:31 -06:00
|
|
|
"""
|
|
|
|
if not event_ids:
|
|
|
|
defer.returnValue({})
|
|
|
|
|
|
|
|
group_to_ids = yield self.get_state_groups_ids(room_id, event_ids)
|
|
|
|
|
|
|
|
state_event_map = yield self.get_events(
|
|
|
|
[
|
2018-05-31 03:03:47 -06:00
|
|
|
ev_id for group_ids in itervalues(group_to_ids)
|
|
|
|
for ev_id in itervalues(group_ids)
|
2016-08-25 06:28:31 -06:00
|
|
|
],
|
|
|
|
get_prev_content=False
|
|
|
|
)
|
|
|
|
|
2015-08-05 08:06:51 -06:00
|
|
|
defer.returnValue({
|
2016-08-25 06:28:31 -06:00
|
|
|
group: [
|
2018-05-31 03:03:47 -06:00
|
|
|
state_event_map[v] for v in itervalues(event_id_map)
|
2017-03-24 04:57:02 -06:00
|
|
|
if v in state_event_map
|
2016-08-25 06:28:31 -06:00
|
|
|
]
|
2018-05-31 03:03:47 -06:00
|
|
|
for group, event_id_map in iteritems(group_to_ids)
|
2015-08-05 08:06:51 -06:00
|
|
|
})
|
2015-06-03 07:45:55 -06:00
|
|
|
|
2017-04-24 06:27:38 -06:00
|
|
|
@defer.inlineCallbacks
|
2018-10-25 10:49:55 -06:00
|
|
|
def _get_state_groups_from_groups(self, groups, state_filter):
|
2018-05-28 18:09:55 -06:00
|
|
|
"""Returns the state groups for a given set of groups, filtering on
|
|
|
|
types of state events.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
groups(list[int]): list of state group IDs to query
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2018-09-27 04:22:25 -06:00
|
|
|
Returns:
|
|
|
|
Deferred[dict[int, dict[tuple[str, str], str]]]:
|
|
|
|
dict of state_group_id -> (dict of (type, state_key) -> event id)
|
2015-08-10 08:01:06 -06:00
|
|
|
"""
|
2016-04-19 10:22:03 -06:00
|
|
|
results = {}
|
|
|
|
|
2018-05-31 03:03:47 -06:00
|
|
|
chunks = [groups[i:i + 100] for i in range(0, len(groups), 100)]
|
2016-02-10 06:24:42 -07:00
|
|
|
for chunk in chunks:
|
2016-04-19 10:22:03 -06:00
|
|
|
res = yield self.runInteraction(
|
2016-02-10 06:24:42 -07:00
|
|
|
"_get_state_groups_from_groups",
|
2018-10-25 10:49:55 -06:00
|
|
|
self._get_state_groups_from_groups_txn, chunk, state_filter,
|
2016-02-10 06:24:42 -07:00
|
|
|
)
|
2016-04-19 10:22:03 -06:00
|
|
|
results.update(res)
|
|
|
|
|
|
|
|
defer.returnValue(results)
|
2015-08-07 11:15:30 -06:00
|
|
|
|
2018-07-19 11:32:02 -06:00
|
|
|
def _get_state_groups_from_groups_txn(
|
2018-10-25 10:49:55 -06:00
|
|
|
self, txn, groups, state_filter=StateFilter.all(),
|
2018-07-19 11:32:02 -06:00
|
|
|
):
|
2016-09-05 02:34:24 -06:00
|
|
|
results = {group: {} for group in groups}
|
2018-03-11 14:01:41 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
where_clause, where_args = state_filter.make_sql_filter_clause()
|
|
|
|
|
|
|
|
# Unless the filter clause is empty, we're going to append it after an
|
|
|
|
# existing where clause
|
|
|
|
if where_clause:
|
|
|
|
where_clause = " AND (%s)" % (where_clause,)
|
2016-09-26 10:16:24 -06:00
|
|
|
|
2016-09-05 02:34:24 -06:00
|
|
|
if isinstance(self.database_engine, PostgresEngine):
|
2016-09-08 02:38:54 -06:00
|
|
|
# Temporarily disable sequential scans in this transaction. This is
|
|
|
|
# a temporary hack until we can add the right indices in
|
|
|
|
txn.execute("SET LOCAL enable_seqscan=off")
|
|
|
|
|
2016-09-05 03:41:27 -06:00
|
|
|
# The below query walks the state_group tree so that the "state"
|
|
|
|
# table includes all state_groups in the tree. It then joins
|
|
|
|
# against `state_groups_state` to fetch the latest state.
|
|
|
|
# It assumes that previous state groups are always numerically
|
|
|
|
# lesser.
|
2016-09-07 07:53:19 -06:00
|
|
|
# The PARTITION is used to get the event_id in the greatest state
|
|
|
|
# group for the given type, state_key.
|
|
|
|
# This may return multiple rows per (type, state_key), but last_value
|
|
|
|
# should be the same.
|
2018-10-25 10:49:55 -06:00
|
|
|
sql = """
|
2016-09-05 02:34:24 -06:00
|
|
|
WITH RECURSIVE state(state_group) AS (
|
|
|
|
VALUES(?::bigint)
|
|
|
|
UNION ALL
|
|
|
|
SELECT prev_state_group FROM state_group_edges e, state s
|
|
|
|
WHERE s.state_group = e.state_group
|
|
|
|
)
|
2018-10-25 10:49:55 -06:00
|
|
|
SELECT DISTINCT type, state_key, last_value(event_id) OVER (
|
2016-09-07 07:22:22 -06:00
|
|
|
PARTITION BY type, state_key ORDER BY state_group ASC
|
2016-09-07 07:39:01 -06:00
|
|
|
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
|
2016-09-07 07:22:22 -06:00
|
|
|
) AS event_id FROM state_groups_state
|
|
|
|
WHERE state_group IN (
|
|
|
|
SELECT state_group FROM state
|
2016-09-05 02:34:24 -06:00
|
|
|
)
|
2018-10-25 10:49:55 -06:00
|
|
|
"""
|
2016-09-12 03:05:07 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
for group in groups:
|
|
|
|
args = [group]
|
|
|
|
args.extend(where_args)
|
2016-09-12 03:05:07 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
txn.execute(sql + where_clause, args)
|
|
|
|
for row in txn:
|
|
|
|
typ, state_key, event_id = row
|
|
|
|
key = (typ, state_key)
|
|
|
|
results[group][key] = event_id
|
2016-09-05 02:34:24 -06:00
|
|
|
else:
|
2018-10-25 10:49:55 -06:00
|
|
|
max_entries_returned = state_filter.max_entries_returned()
|
2018-08-21 16:56:37 -06:00
|
|
|
|
2016-09-05 07:50:36 -06:00
|
|
|
# We don't use WITH RECURSIVE on sqlite3 as there are distributions
|
|
|
|
# that ship with an sqlite3 version that doesn't support it (e.g. wheezy)
|
2016-09-05 02:34:24 -06:00
|
|
|
for group in groups:
|
|
|
|
next_group = group
|
|
|
|
|
|
|
|
while next_group:
|
2016-09-26 10:16:24 -06:00
|
|
|
# We did this before by getting the list of group ids, and
|
|
|
|
# then passing that list to sqlite to get latest event for
|
|
|
|
# each (type, state_key). However, that was terribly slow
|
2017-01-05 06:39:43 -07:00
|
|
|
# without the right indices (which we can't add until
|
2016-09-26 10:16:24 -06:00
|
|
|
# after we finish deduping state, which requires this func)
|
2016-09-27 02:27:54 -06:00
|
|
|
args = [next_group]
|
2018-10-25 10:49:55 -06:00
|
|
|
args.extend(where_args)
|
2016-09-27 02:27:54 -06:00
|
|
|
|
|
|
|
txn.execute(
|
|
|
|
"SELECT type, state_key, event_id FROM state_groups_state"
|
2018-10-25 10:49:55 -06:00
|
|
|
" WHERE state_group = ? " + where_clause,
|
2016-09-27 02:27:54 -06:00
|
|
|
args
|
|
|
|
)
|
2017-03-24 04:57:02 -06:00
|
|
|
results[group].update(
|
|
|
|
((typ, state_key), event_id)
|
2017-03-23 11:53:49 -06:00
|
|
|
for typ, state_key, event_id in txn
|
2016-09-27 02:27:54 -06:00
|
|
|
if (typ, state_key) not in results[group]
|
2017-03-24 04:57:02 -06:00
|
|
|
)
|
2016-09-27 02:27:54 -06:00
|
|
|
|
2018-03-13 13:48:04 -06:00
|
|
|
# If the number of entries in the (type,state_key)->event_id dict
|
2018-03-13 13:45:36 -06:00
|
|
|
# matches the number of (type,state_keys) types we were searching
|
|
|
|
# for, then we must have found them all, so no need to go walk
|
|
|
|
# further down the tree... UNLESS our types filter contained
|
|
|
|
# wildcards (i.e. Nones) in which case we have to do an exhaustive
|
|
|
|
# search
|
|
|
|
if (
|
2018-10-25 10:49:55 -06:00
|
|
|
max_entries_returned is not None and
|
|
|
|
len(results[group]) == max_entries_returned
|
2018-03-13 13:45:36 -06:00
|
|
|
):
|
2016-09-27 02:27:54 -06:00
|
|
|
break
|
2016-09-26 10:16:24 -06:00
|
|
|
|
2016-09-05 02:34:24 -06:00
|
|
|
next_group = self._simple_select_one_onecol_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
keyvalues={"state_group": next_group},
|
|
|
|
retcol="prev_state_group",
|
|
|
|
allow_none=True,
|
|
|
|
)
|
|
|
|
|
|
|
|
return results
|
|
|
|
|
2015-08-04 02:32:23 -06:00
|
|
|
@defer.inlineCallbacks
|
2018-10-25 10:49:55 -06:00
|
|
|
def get_state_for_events(self, event_ids, state_filter=StateFilter.all()):
|
2015-08-04 04:08:07 -06:00
|
|
|
"""Given a list of event_ids and type tuples, return a list of state
|
2018-10-25 10:49:55 -06:00
|
|
|
dicts for each event.
|
2015-08-04 04:08:07 -06:00
|
|
|
|
|
|
|
Args:
|
2018-05-28 18:09:55 -06:00
|
|
|
event_ids (list[string])
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2015-08-04 04:08:07 -06:00
|
|
|
|
|
|
|
Returns:
|
2018-08-15 09:35:22 -06:00
|
|
|
deferred: A dict of (event_id) -> (type, state_key) -> [state_events]
|
2015-08-04 04:08:07 -06:00
|
|
|
"""
|
2015-08-07 11:15:30 -06:00
|
|
|
event_to_groups = yield self._get_state_group_for_events(
|
2015-10-12 08:06:14 -06:00
|
|
|
event_ids,
|
2015-08-07 11:15:30 -06:00
|
|
|
)
|
2015-08-04 02:32:23 -06:00
|
|
|
|
2018-05-31 03:03:47 -06:00
|
|
|
groups = set(itervalues(event_to_groups))
|
2018-10-25 10:49:55 -06:00
|
|
|
group_to_state = yield self._get_state_for_groups(groups, state_filter)
|
2015-07-02 09:20:10 -06:00
|
|
|
|
2016-08-25 06:28:31 -06:00
|
|
|
state_event_map = yield self.get_events(
|
2018-05-31 03:03:47 -06:00
|
|
|
[ev_id for sd in itervalues(group_to_state) for ev_id in itervalues(sd)],
|
2016-08-25 06:28:31 -06:00
|
|
|
get_prev_content=False
|
|
|
|
)
|
|
|
|
|
2015-08-04 02:32:23 -06:00
|
|
|
event_to_state = {
|
2016-08-25 06:28:31 -06:00
|
|
|
event_id: {
|
|
|
|
k: state_event_map[v]
|
2018-05-31 03:03:47 -06:00
|
|
|
for k, v in iteritems(group_to_state[group])
|
2016-08-25 06:28:31 -06:00
|
|
|
if v in state_event_map
|
|
|
|
}
|
2018-05-31 03:03:47 -06:00
|
|
|
for event_id, group in iteritems(event_to_groups)
|
2015-07-02 09:20:10 -06:00
|
|
|
}
|
|
|
|
|
2015-08-13 10:11:30 -06:00
|
|
|
defer.returnValue({event: event_to_state[event] for event in event_ids})
|
2015-07-02 09:20:10 -06:00
|
|
|
|
2016-08-25 11:59:44 -06:00
|
|
|
@defer.inlineCallbacks
|
2018-10-25 10:49:55 -06:00
|
|
|
def get_state_ids_for_events(self, event_ids, state_filter=StateFilter.all()):
|
2017-02-14 06:59:50 -07:00
|
|
|
"""
|
2018-08-16 02:46:50 -06:00
|
|
|
Get the state dicts corresponding to a list of events, containing the event_ids
|
|
|
|
of the state events (as opposed to the events themselves)
|
2017-02-14 06:59:50 -07:00
|
|
|
|
|
|
|
Args:
|
|
|
|
event_ids(list(str)): events whose state should be returned
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2017-02-14 06:59:50 -07:00
|
|
|
|
|
|
|
Returns:
|
2018-08-16 02:46:50 -06:00
|
|
|
A deferred dict from event_id -> (type, state_key) -> event_id
|
2017-02-14 06:59:50 -07:00
|
|
|
"""
|
2016-08-25 11:59:44 -06:00
|
|
|
event_to_groups = yield self._get_state_group_for_events(
|
|
|
|
event_ids,
|
|
|
|
)
|
|
|
|
|
2018-05-31 03:03:47 -06:00
|
|
|
groups = set(itervalues(event_to_groups))
|
2018-10-25 10:49:55 -06:00
|
|
|
group_to_state = yield self._get_state_for_groups(groups, state_filter)
|
2016-08-25 11:59:44 -06:00
|
|
|
|
|
|
|
event_to_state = {
|
|
|
|
event_id: group_to_state[group]
|
2018-05-31 03:03:47 -06:00
|
|
|
for event_id, group in iteritems(event_to_groups)
|
2016-08-25 11:59:44 -06:00
|
|
|
}
|
|
|
|
|
|
|
|
defer.returnValue({event: event_to_state[event] for event in event_ids})
|
|
|
|
|
2015-11-10 11:27:23 -07:00
|
|
|
@defer.inlineCallbacks
|
2018-10-25 10:49:55 -06:00
|
|
|
def get_state_for_event(self, event_id, state_filter=StateFilter.all()):
|
2015-11-10 11:27:23 -07:00
|
|
|
"""
|
|
|
|
Get the state dict corresponding to a particular event
|
|
|
|
|
2016-04-01 09:08:59 -06:00
|
|
|
Args:
|
|
|
|
event_id(str): event whose state should be returned
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2016-04-01 09:08:59 -06:00
|
|
|
|
|
|
|
Returns:
|
|
|
|
A deferred dict from (type, state_key) -> state_event
|
2015-11-10 11:27:23 -07:00
|
|
|
"""
|
2018-10-25 10:49:55 -06:00
|
|
|
state_map = yield self.get_state_for_events([event_id], state_filter)
|
2015-11-10 11:27:23 -07:00
|
|
|
defer.returnValue(state_map[event_id])
|
|
|
|
|
2016-08-25 11:59:44 -06:00
|
|
|
@defer.inlineCallbacks
|
2018-10-25 10:49:55 -06:00
|
|
|
def get_state_ids_for_event(self, event_id, state_filter=StateFilter.all()):
|
2016-08-25 11:59:44 -06:00
|
|
|
"""
|
|
|
|
Get the state dict corresponding to a particular event
|
|
|
|
|
|
|
|
Args:
|
|
|
|
event_id(str): event whose state should be returned
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2016-08-25 11:59:44 -06:00
|
|
|
|
|
|
|
Returns:
|
|
|
|
A deferred dict from (type, state_key) -> state_event
|
|
|
|
"""
|
2018-10-25 10:49:55 -06:00
|
|
|
state_map = yield self.get_state_ids_for_events([event_id], state_filter)
|
2016-08-25 11:59:44 -06:00
|
|
|
defer.returnValue(state_map[event_id])
|
|
|
|
|
2017-06-29 08:38:48 -06:00
|
|
|
@cached(max_entries=50000)
|
|
|
|
def _get_state_group_for_event(self, event_id):
|
2015-08-05 08:06:51 -06:00
|
|
|
return self._simple_select_one_onecol(
|
|
|
|
table="event_to_state_groups",
|
|
|
|
keyvalues={
|
|
|
|
"event_id": event_id,
|
|
|
|
},
|
|
|
|
retcol="state_group",
|
|
|
|
allow_none=True,
|
|
|
|
desc="_get_state_group_for_event",
|
|
|
|
)
|
|
|
|
|
2016-04-06 06:08:05 -06:00
|
|
|
@cachedList(cached_method_name="_get_state_group_for_event",
|
|
|
|
list_name="event_ids", num_args=1, inlineCallbacks=True)
|
2015-10-12 08:06:14 -06:00
|
|
|
def _get_state_group_for_events(self, event_ids):
|
2015-08-10 08:01:06 -06:00
|
|
|
"""Returns mapping event_id -> state_group
|
|
|
|
"""
|
2016-02-10 05:57:50 -07:00
|
|
|
rows = yield self._simple_select_many_batch(
|
|
|
|
table="event_to_state_groups",
|
|
|
|
column="event_id",
|
|
|
|
iterable=event_ids,
|
|
|
|
keyvalues={},
|
|
|
|
retcols=("event_id", "state_group",),
|
|
|
|
desc="_get_state_group_for_events",
|
|
|
|
)
|
2015-08-07 11:15:30 -06:00
|
|
|
|
2016-03-23 10:29:46 -06:00
|
|
|
defer.returnValue({row["event_id"]: row["state_group"] for row in rows})
|
2015-08-07 11:15:30 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
def _get_state_for_group_using_cache(self, cache, group, state_filter):
|
2015-08-10 08:01:06 -06:00
|
|
|
"""Checks if group is in cache. See `_get_state_for_groups`
|
2015-08-11 02:12:41 -06:00
|
|
|
|
2015-08-12 10:06:21 -06:00
|
|
|
Args:
|
2018-08-21 16:56:37 -06:00
|
|
|
cache(DictionaryCache): the state group cache to use
|
2018-05-28 18:09:55 -06:00
|
|
|
group(int): The state group to lookup
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2018-07-25 09:15:33 -06:00
|
|
|
|
|
|
|
Returns 2-tuple (`state_dict`, `got_all`).
|
|
|
|
`got_all` is a bool indicating if we successfully retrieved all
|
|
|
|
requests state from the cache, if False we need to query the DB for the
|
|
|
|
missing state.
|
2015-08-10 08:01:06 -06:00
|
|
|
"""
|
2018-08-21 16:56:37 -06:00
|
|
|
is_all, known_absent, state_dict_ids = cache.get(group)
|
2015-08-05 08:06:51 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
if is_all or state_filter.is_full():
|
|
|
|
# Either we have everything or want everything, either way
|
|
|
|
# `is_all` tells us whether we've gotten everything.
|
|
|
|
return state_filter.filter_state(state_dict_ids), is_all
|
2018-07-19 11:32:02 -06:00
|
|
|
|
2018-08-21 16:56:37 -06:00
|
|
|
# tracks whether any of our requested types are missing from the cache
|
2018-07-25 16:36:31 -06:00
|
|
|
missing_types = False
|
2017-05-17 07:31:23 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
if state_filter.has_wildcards():
|
|
|
|
# We don't know if we fetched all the state keys for the types in
|
|
|
|
# the filter that are wildcards, so we have to assume that we may
|
|
|
|
# have missed some.
|
|
|
|
missing_types = True
|
|
|
|
else:
|
|
|
|
# There aren't any wild cards, so `concrete_types()` returns the
|
|
|
|
# complete list of event types we're wanting.
|
|
|
|
for key in state_filter.concrete_types():
|
2017-05-17 07:31:23 -06:00
|
|
|
if key not in state_dict_ids and key not in known_absent:
|
2018-07-25 16:36:31 -06:00
|
|
|
missing_types = True
|
2018-10-25 10:49:55 -06:00
|
|
|
break
|
2015-08-07 03:17:38 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
return state_filter.filter_state(state_dict_ids), not missing_types
|
2015-08-12 10:06:21 -06:00
|
|
|
|
2015-08-07 11:15:30 -06:00
|
|
|
@defer.inlineCallbacks
|
2018-10-25 10:49:55 -06:00
|
|
|
def _get_state_for_groups(self, groups, state_filter=StateFilter.all()):
|
2018-06-11 16:13:06 -06:00
|
|
|
"""Gets the state at each of a list of state groups, optionally
|
|
|
|
filtering by type/state_key
|
2018-05-28 18:09:55 -06:00
|
|
|
|
|
|
|
Args:
|
2018-06-11 16:13:06 -06:00
|
|
|
groups (iterable[int]): list of state groups for which we want
|
|
|
|
to get the state.
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2018-08-21 16:56:37 -06:00
|
|
|
Returns:
|
2018-09-27 04:22:25 -06:00
|
|
|
Deferred[dict[int, dict[tuple[str, str], str]]]:
|
|
|
|
dict of state_group_id -> (dict of (type, state_key) -> event id)
|
2018-08-21 16:56:37 -06:00
|
|
|
"""
|
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
member_filter, non_member_filter = state_filter.get_member_split()
|
2018-08-21 16:56:37 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
# Now we look them up in the member and non-member caches
|
|
|
|
non_member_state, incomplete_groups_nm, = (
|
|
|
|
yield self._get_state_for_groups_using_cache(
|
|
|
|
groups, self._state_group_cache,
|
|
|
|
state_filter=non_member_filter,
|
|
|
|
)
|
2018-08-21 16:56:37 -06:00
|
|
|
)
|
2018-10-25 10:49:55 -06:00
|
|
|
|
|
|
|
member_state, incomplete_groups_m, = (
|
|
|
|
yield self._get_state_for_groups_using_cache(
|
|
|
|
groups, self._state_group_members_cache,
|
|
|
|
state_filter=member_filter,
|
|
|
|
)
|
2018-08-21 16:56:37 -06:00
|
|
|
)
|
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
state = dict(non_member_state)
|
2018-08-21 16:56:37 -06:00
|
|
|
for group in groups:
|
|
|
|
state[group].update(member_state[group])
|
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
# Now fetch any missing groups from the database
|
|
|
|
|
|
|
|
incomplete_groups = incomplete_groups_m | incomplete_groups_nm
|
|
|
|
|
|
|
|
if not incomplete_groups:
|
|
|
|
defer.returnValue(state)
|
|
|
|
|
|
|
|
cache_sequence_nm = self._state_group_cache.sequence
|
|
|
|
cache_sequence_m = self._state_group_members_cache.sequence
|
|
|
|
|
|
|
|
# Help the cache hit ratio by expanding the filter a bit
|
|
|
|
db_state_filter = state_filter.return_expanded()
|
|
|
|
|
|
|
|
group_to_state_dict = yield self._get_state_groups_from_groups(
|
|
|
|
list(incomplete_groups),
|
|
|
|
state_filter=db_state_filter,
|
|
|
|
)
|
|
|
|
|
|
|
|
# Now lets update the caches
|
|
|
|
self._insert_into_cache(
|
|
|
|
group_to_state_dict,
|
|
|
|
db_state_filter,
|
|
|
|
cache_seq_num_members=cache_sequence_m,
|
|
|
|
cache_seq_num_non_members=cache_sequence_nm,
|
|
|
|
)
|
|
|
|
|
|
|
|
# And finally update the result dict, by filtering out any extra
|
|
|
|
# stuff we pulled out of the database.
|
|
|
|
for group, group_state_dict in iteritems(group_to_state_dict):
|
|
|
|
# We just replace any existing entries, as we will have loaded
|
|
|
|
# everything we need from the database anyway.
|
|
|
|
state[group] = state_filter.filter_state(group_state_dict)
|
|
|
|
|
2018-08-21 16:56:37 -06:00
|
|
|
defer.returnValue(state)
|
|
|
|
|
|
|
|
def _get_state_for_groups_using_cache(
|
2018-10-25 10:49:55 -06:00
|
|
|
self, groups, cache, state_filter,
|
2018-08-21 16:56:37 -06:00
|
|
|
):
|
|
|
|
"""Gets the state at each of a list of state groups, optionally
|
|
|
|
filtering by type/state_key, querying from a specific cache.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
groups (iterable[int]): list of state groups for which we want
|
|
|
|
to get the state.
|
|
|
|
cache (DictionaryCache): the cache of group ids to state dicts which
|
|
|
|
we will pass through - either the normal state cache or the specific
|
|
|
|
members state cache.
|
2018-10-25 10:49:55 -06:00
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
2018-08-21 16:56:37 -06:00
|
|
|
|
2018-05-28 18:09:55 -06:00
|
|
|
Returns:
|
2018-10-25 10:49:55 -06:00
|
|
|
tuple[dict[int, dict[tuple[str, str], str]], set[int]]: Tuple of
|
|
|
|
dict of state_group_id -> (dict of (type, state_key) -> event id)
|
|
|
|
of entries in the cache, and the state group ids either missing
|
|
|
|
from the cache or incomplete.
|
2015-08-10 08:01:06 -06:00
|
|
|
"""
|
2015-08-07 11:15:30 -06:00
|
|
|
results = {}
|
2018-10-25 10:49:55 -06:00
|
|
|
incomplete_groups = set()
|
|
|
|
for group in set(groups):
|
|
|
|
state_dict_ids, got_all = self._get_state_for_group_using_cache(
|
|
|
|
cache, group, state_filter
|
|
|
|
)
|
|
|
|
results[group] = state_dict_ids
|
2015-08-12 10:06:21 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
if not got_all:
|
|
|
|
incomplete_groups.add(group)
|
2016-03-22 05:59:31 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
return results, incomplete_groups
|
2015-08-11 02:12:41 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
def _insert_into_cache(self, group_to_state_dict, state_filter,
|
|
|
|
cache_seq_num_members, cache_seq_num_non_members):
|
|
|
|
"""Inserts results from querying the database into the relevant cache.
|
2015-08-07 11:15:30 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
Args:
|
|
|
|
group_to_state_dict (dict): The new entries pulled from database.
|
|
|
|
Map from state group to state dict
|
|
|
|
state_filter (StateFilter): The state filter used to fetch state
|
|
|
|
from the database.
|
|
|
|
cache_seq_num_members (int): Sequence number of member cache since
|
|
|
|
last lookup in cache
|
|
|
|
cache_seq_num_non_members (int): Sequence number of member cache since
|
|
|
|
last lookup in cache
|
|
|
|
"""
|
2015-08-05 08:06:51 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
# We need to work out which types we've fetched from the DB for the
|
|
|
|
# member vs non-member caches. This should be as accurate as possible,
|
|
|
|
# but can be an underestimate (e.g. when we have wild cards)
|
2018-06-11 16:13:06 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
member_filter, non_member_filter = state_filter.get_member_split()
|
|
|
|
if member_filter.is_full():
|
|
|
|
# We fetched all member events
|
|
|
|
member_types = None
|
|
|
|
else:
|
|
|
|
# `concrete_types()` will only return a subset when there are wild
|
|
|
|
# cards in the filter, but that's fine.
|
|
|
|
member_types = member_filter.concrete_types()
|
2018-06-11 16:13:06 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
if non_member_filter.is_full():
|
|
|
|
# We fetched all non member events
|
|
|
|
non_member_types = None
|
|
|
|
else:
|
|
|
|
non_member_types = non_member_filter.concrete_types()
|
|
|
|
|
|
|
|
for group, group_state_dict in iteritems(group_to_state_dict):
|
|
|
|
state_dict_members = {}
|
|
|
|
state_dict_non_members = {}
|
2015-08-07 11:15:30 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
for k, v in iteritems(group_state_dict):
|
|
|
|
if k[0] == EventTypes.Member:
|
|
|
|
state_dict_members[k] = v
|
2018-06-11 16:13:06 -06:00
|
|
|
else:
|
2018-10-25 10:49:55 -06:00
|
|
|
state_dict_non_members[k] = v
|
2015-08-05 08:06:51 -06:00
|
|
|
|
2018-10-25 10:49:55 -06:00
|
|
|
self._state_group_members_cache.update(
|
|
|
|
cache_seq_num_members,
|
|
|
|
key=group,
|
|
|
|
value=state_dict_members,
|
|
|
|
fetched_keys=member_types,
|
|
|
|
)
|
|
|
|
|
|
|
|
self._state_group_cache.update(
|
|
|
|
cache_seq_num_non_members,
|
|
|
|
key=group,
|
|
|
|
value=state_dict_non_members,
|
|
|
|
fetched_keys=non_member_types,
|
|
|
|
)
|
2016-03-30 08:58:20 -06:00
|
|
|
|
2018-02-06 07:31:24 -07:00
|
|
|
def store_state_group(self, event_id, room_id, prev_group, delta_ids,
|
|
|
|
current_state_ids):
|
|
|
|
"""Store a new set of state, returning a newly assigned state group.
|
2017-11-09 12:00:20 -07:00
|
|
|
|
2018-02-06 07:31:24 -07:00
|
|
|
Args:
|
|
|
|
event_id (str): The event ID for which the state was calculated
|
|
|
|
room_id (str)
|
|
|
|
prev_group (int|None): A previous state group for the room, optional.
|
|
|
|
delta_ids (dict|None): The delta between state at `prev_group` and
|
|
|
|
`current_state_ids`, if `prev_group` was given. Same format as
|
|
|
|
`current_state_ids`.
|
|
|
|
current_state_ids (dict): The state to store. Map of (type, state_key)
|
|
|
|
to event_id.
|
2017-11-09 12:00:20 -07:00
|
|
|
|
2018-02-06 07:31:24 -07:00
|
|
|
Returns:
|
|
|
|
Deferred[int]: The state group ID
|
|
|
|
"""
|
|
|
|
def _store_state_group_txn(txn):
|
|
|
|
if current_state_ids is None:
|
2017-11-09 12:00:20 -07:00
|
|
|
# AFAIK, this can never happen
|
2018-02-06 07:31:24 -07:00
|
|
|
raise Exception("current_state_ids cannot be None")
|
2017-11-09 12:00:20 -07:00
|
|
|
|
2018-02-06 07:31:24 -07:00
|
|
|
state_group = self.database_engine.get_next_state_group_id(txn)
|
2017-11-09 12:00:20 -07:00
|
|
|
|
|
|
|
self._simple_insert_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups",
|
|
|
|
values={
|
2018-02-06 07:31:24 -07:00
|
|
|
"id": state_group,
|
|
|
|
"room_id": room_id,
|
|
|
|
"event_id": event_id,
|
2017-11-09 12:00:20 -07:00
|
|
|
},
|
|
|
|
)
|
|
|
|
|
|
|
|
# We persist as a delta if we can, while also ensuring the chain
|
|
|
|
# of deltas isn't tooo long, as otherwise read performance degrades.
|
2018-02-06 07:31:24 -07:00
|
|
|
if prev_group:
|
2017-11-09 12:00:20 -07:00
|
|
|
is_in_db = self._simple_select_one_onecol_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups",
|
2018-02-06 07:31:24 -07:00
|
|
|
keyvalues={"id": prev_group},
|
2017-11-09 12:00:20 -07:00
|
|
|
retcol="id",
|
|
|
|
allow_none=True,
|
|
|
|
)
|
|
|
|
if not is_in_db:
|
|
|
|
raise Exception(
|
|
|
|
"Trying to persist state with unpersisted prev_group: %r"
|
2018-02-06 07:31:24 -07:00
|
|
|
% (prev_group,)
|
2017-11-09 12:00:20 -07:00
|
|
|
)
|
|
|
|
|
|
|
|
potential_hops = self._count_state_group_hops_txn(
|
2018-02-06 07:31:24 -07:00
|
|
|
txn, prev_group
|
2017-11-09 12:00:20 -07:00
|
|
|
)
|
2018-02-06 07:31:24 -07:00
|
|
|
if prev_group and potential_hops < MAX_STATE_DELTA_HOPS:
|
2017-11-09 12:00:20 -07:00
|
|
|
self._simple_insert_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
values={
|
2018-02-06 07:31:24 -07:00
|
|
|
"state_group": state_group,
|
|
|
|
"prev_state_group": prev_group,
|
2017-11-09 12:00:20 -07:00
|
|
|
},
|
|
|
|
)
|
|
|
|
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups_state",
|
|
|
|
values=[
|
|
|
|
{
|
2018-02-06 07:31:24 -07:00
|
|
|
"state_group": state_group,
|
|
|
|
"room_id": room_id,
|
2017-11-09 12:00:20 -07:00
|
|
|
"type": key[0],
|
|
|
|
"state_key": key[1],
|
|
|
|
"event_id": state_id,
|
|
|
|
}
|
2018-05-31 03:03:47 -06:00
|
|
|
for key, state_id in iteritems(delta_ids)
|
2017-11-09 12:00:20 -07:00
|
|
|
],
|
|
|
|
)
|
|
|
|
else:
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups_state",
|
|
|
|
values=[
|
|
|
|
{
|
2018-02-06 07:31:24 -07:00
|
|
|
"state_group": state_group,
|
|
|
|
"room_id": room_id,
|
2017-11-09 12:00:20 -07:00
|
|
|
"type": key[0],
|
|
|
|
"state_key": key[1],
|
|
|
|
"event_id": state_id,
|
|
|
|
}
|
2018-05-31 03:03:47 -06:00
|
|
|
for key, state_id in iteritems(current_state_ids)
|
2017-11-09 12:00:20 -07:00
|
|
|
],
|
|
|
|
)
|
|
|
|
|
2018-08-21 16:56:37 -06:00
|
|
|
# Prefill the state group caches with this group.
|
2017-11-09 12:00:20 -07:00
|
|
|
# It's fine to use the sequence like this as the state group map
|
|
|
|
# is immutable. (If the map wasn't immutable then this prefill could
|
|
|
|
# race with another update)
|
2018-08-21 16:56:37 -06:00
|
|
|
|
|
|
|
current_member_state_ids = {
|
|
|
|
s: ev
|
|
|
|
for (s, ev) in iteritems(current_state_ids)
|
|
|
|
if s[0] == EventTypes.Member
|
|
|
|
}
|
|
|
|
txn.call_after(
|
|
|
|
self._state_group_members_cache.update,
|
|
|
|
self._state_group_members_cache.sequence,
|
|
|
|
key=state_group,
|
|
|
|
value=dict(current_member_state_ids),
|
|
|
|
)
|
|
|
|
|
|
|
|
current_non_member_state_ids = {
|
|
|
|
s: ev
|
|
|
|
for (s, ev) in iteritems(current_state_ids)
|
|
|
|
if s[0] != EventTypes.Member
|
|
|
|
}
|
2017-11-09 12:00:20 -07:00
|
|
|
txn.call_after(
|
|
|
|
self._state_group_cache.update,
|
|
|
|
self._state_group_cache.sequence,
|
2018-02-06 07:31:24 -07:00
|
|
|
key=state_group,
|
2018-08-21 16:56:37 -06:00
|
|
|
value=dict(current_non_member_state_ids),
|
2017-11-09 12:00:20 -07:00
|
|
|
)
|
|
|
|
|
2018-02-06 07:31:24 -07:00
|
|
|
return state_group
|
|
|
|
|
|
|
|
return self.runInteraction("store_state_group", _store_state_group_txn)
|
|
|
|
|
2018-02-15 03:51:46 -07:00
|
|
|
def _count_state_group_hops_txn(self, txn, state_group):
|
|
|
|
"""Given a state group, count how many hops there are in the tree.
|
|
|
|
|
|
|
|
This is used to ensure the delta chains don't get too long.
|
|
|
|
"""
|
|
|
|
if isinstance(self.database_engine, PostgresEngine):
|
|
|
|
sql = ("""
|
|
|
|
WITH RECURSIVE state(state_group) AS (
|
|
|
|
VALUES(?::bigint)
|
|
|
|
UNION ALL
|
|
|
|
SELECT prev_state_group FROM state_group_edges e, state s
|
|
|
|
WHERE s.state_group = e.state_group
|
|
|
|
)
|
|
|
|
SELECT count(*) FROM state;
|
|
|
|
""")
|
|
|
|
|
|
|
|
txn.execute(sql, (state_group,))
|
|
|
|
row = txn.fetchone()
|
|
|
|
if row and row[0]:
|
|
|
|
return row[0]
|
|
|
|
else:
|
|
|
|
return 0
|
|
|
|
else:
|
|
|
|
# We don't use WITH RECURSIVE on sqlite3 as there are distributions
|
|
|
|
# that ship with an sqlite3 version that doesn't support it (e.g. wheezy)
|
|
|
|
next_group = state_group
|
|
|
|
count = 0
|
|
|
|
|
|
|
|
while next_group:
|
|
|
|
next_group = self._simple_select_one_onecol_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
keyvalues={"state_group": next_group},
|
|
|
|
retcol="prev_state_group",
|
|
|
|
allow_none=True,
|
|
|
|
)
|
|
|
|
if next_group:
|
|
|
|
count += 1
|
|
|
|
|
|
|
|
return count
|
|
|
|
|
2018-02-06 07:31:24 -07:00
|
|
|
|
|
|
|
class StateStore(StateGroupWorkerStore, BackgroundUpdateStore):
|
|
|
|
""" Keeps track of the state at a given event.
|
|
|
|
|
|
|
|
This is done by the concept of `state groups`. Every event is a assigned
|
|
|
|
a state group (identified by an arbitrary string), which references a
|
|
|
|
collection of state events. The current state of an event is then the
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collection of state events referenced by the event's state group.
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Hence, every change in the current state causes a new state group to be
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generated. However, if no change happens (e.g., if we get a message event
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with only one parent it inherits the state group from its parent.)
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There are three tables:
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* `state_groups`: Stores group name, first event with in the group and
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room id.
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* `event_to_state_groups`: Maps events to state groups.
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* `state_groups_state`: Maps state group to state events.
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"""
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STATE_GROUP_DEDUPLICATION_UPDATE_NAME = "state_group_state_deduplication"
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STATE_GROUP_INDEX_UPDATE_NAME = "state_group_state_type_index"
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CURRENT_STATE_INDEX_UPDATE_NAME = "current_state_members_idx"
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2018-10-04 08:24:01 -06:00
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EVENT_STATE_GROUP_INDEX_UPDATE_NAME = "event_to_state_groups_sg_index"
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2018-02-06 07:31:24 -07:00
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def __init__(self, db_conn, hs):
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super(StateStore, self).__init__(db_conn, hs)
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self.register_background_update_handler(
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self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME,
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self._background_deduplicate_state,
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)
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self.register_background_update_handler(
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self.STATE_GROUP_INDEX_UPDATE_NAME,
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self._background_index_state,
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)
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self.register_background_index_update(
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self.CURRENT_STATE_INDEX_UPDATE_NAME,
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index_name="current_state_events_member_index",
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table="current_state_events",
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columns=["state_key"],
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where_clause="type='m.room.member'",
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)
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2018-10-04 08:24:01 -06:00
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self.register_background_index_update(
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self.EVENT_STATE_GROUP_INDEX_UPDATE_NAME,
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index_name="event_to_state_groups_sg_index",
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table="event_to_state_groups",
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columns=["state_group"],
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)
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2018-02-06 07:31:24 -07:00
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def _store_event_state_mappings_txn(self, txn, events_and_contexts):
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state_groups = {}
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for event, context in events_and_contexts:
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if event.internal_metadata.is_outlier():
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continue
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# if the event was rejected, just give it the same state as its
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# predecessor.
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if context.rejected:
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state_groups[event.event_id] = context.prev_group
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continue
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state_groups[event.event_id] = context.state_group
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2017-11-09 12:00:20 -07:00
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self._simple_insert_many_txn(
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txn,
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table="event_to_state_groups",
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values=[
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{
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"state_group": state_group_id,
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"event_id": event_id,
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}
|
2018-05-31 03:03:47 -06:00
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for event_id, state_group_id in iteritems(state_groups)
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2017-11-09 12:00:20 -07:00
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],
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)
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|
2018-05-31 03:03:47 -06:00
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for event_id, state_group_id in iteritems(state_groups):
|
2017-11-09 12:00:20 -07:00
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txn.call_after(
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self._get_state_group_for_event.prefill,
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(event_id,), state_group_id
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)
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|
2016-09-05 02:34:24 -06:00
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@defer.inlineCallbacks
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def _background_deduplicate_state(self, progress, batch_size):
|
2016-09-05 03:41:27 -06:00
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"""This background update will slowly deduplicate state by reencoding
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them as deltas.
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"""
|
2016-09-05 02:34:24 -06:00
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last_state_group = progress.get("last_state_group", 0)
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rows_inserted = progress.get("rows_inserted", 0)
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max_group = progress.get("max_group", None)
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|
2016-09-05 08:49:57 -06:00
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BATCH_SIZE_SCALE_FACTOR = 100
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batch_size = max(1, int(batch_size / BATCH_SIZE_SCALE_FACTOR))
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|
2016-09-05 02:34:24 -06:00
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if max_group is None:
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rows = yield self._execute(
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"_background_deduplicate_state", None,
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"SELECT coalesce(max(id), 0) FROM state_groups",
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)
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max_group = rows[0][0]
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def reindex_txn(txn):
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new_last_state_group = last_state_group
|
2018-05-31 03:03:47 -06:00
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for count in range(batch_size):
|
2016-09-05 02:34:24 -06:00
|
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txn.execute(
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|
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"SELECT id, room_id FROM state_groups"
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" WHERE ? < id AND id <= ?"
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" ORDER BY id ASC"
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" LIMIT 1",
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|
(new_last_state_group, max_group,)
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|
)
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row = txn.fetchone()
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if row:
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state_group, room_id = row
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|
if not row or not state_group:
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return True, count
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|
2016-09-05 08:07:23 -06:00
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|
txn.execute(
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|
|
"SELECT state_group FROM state_group_edges"
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|
|
" WHERE state_group = ?",
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|
|
(state_group,)
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|
)
|
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|
# If we reach a point where we've already started inserting
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|
|
# edges we should stop.
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|
|
if txn.fetchall():
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|
|
return True, count
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|
|
2016-09-05 02:34:24 -06:00
|
|
|
txn.execute(
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|
|
"SELECT coalesce(max(id), 0) FROM state_groups"
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|
|
" WHERE id < ? AND room_id = ?",
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|
|
(state_group, room_id,)
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|
|
)
|
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|
|
prev_group, = txn.fetchone()
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|
|
new_last_state_group = state_group
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|
|
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|
|
|
if prev_group:
|
|
|
|
potential_hops = self._count_state_group_hops_txn(
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|
|
txn, prev_group
|
|
|
|
)
|
|
|
|
if potential_hops >= MAX_STATE_DELTA_HOPS:
|
|
|
|
# We want to ensure chains are at most this long,#
|
|
|
|
# otherwise read performance degrades.
|
|
|
|
continue
|
|
|
|
|
|
|
|
prev_state = self._get_state_groups_from_groups_txn(
|
2018-10-25 10:49:55 -06:00
|
|
|
txn, [prev_group],
|
2016-09-05 02:34:24 -06:00
|
|
|
)
|
2016-09-05 07:57:14 -06:00
|
|
|
prev_state = prev_state[prev_group]
|
2016-09-05 02:34:24 -06:00
|
|
|
|
|
|
|
curr_state = self._get_state_groups_from_groups_txn(
|
2018-10-25 10:49:55 -06:00
|
|
|
txn, [state_group],
|
2016-09-05 02:34:24 -06:00
|
|
|
)
|
2016-09-05 07:57:14 -06:00
|
|
|
curr_state = curr_state[state_group]
|
2016-09-05 02:34:24 -06:00
|
|
|
|
|
|
|
if not set(prev_state.keys()) - set(curr_state.keys()):
|
|
|
|
# We can only do a delta if the current has a strict super set
|
|
|
|
# of keys
|
|
|
|
|
|
|
|
delta_state = {
|
2018-05-31 03:03:47 -06:00
|
|
|
key: value for key, value in iteritems(curr_state)
|
2016-09-05 02:34:24 -06:00
|
|
|
if prev_state.get(key, None) != value
|
|
|
|
}
|
|
|
|
|
2016-09-05 08:07:23 -06:00
|
|
|
self._simple_delete_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
keyvalues={
|
|
|
|
"state_group": state_group,
|
|
|
|
}
|
|
|
|
)
|
|
|
|
|
2016-09-05 02:34:24 -06:00
|
|
|
self._simple_insert_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
values={
|
|
|
|
"state_group": state_group,
|
|
|
|
"prev_state_group": prev_group,
|
|
|
|
}
|
|
|
|
)
|
|
|
|
|
|
|
|
self._simple_delete_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups_state",
|
|
|
|
keyvalues={
|
|
|
|
"state_group": state_group,
|
|
|
|
}
|
|
|
|
)
|
|
|
|
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups_state",
|
|
|
|
values=[
|
|
|
|
{
|
|
|
|
"state_group": state_group,
|
|
|
|
"room_id": room_id,
|
|
|
|
"type": key[0],
|
|
|
|
"state_key": key[1],
|
|
|
|
"event_id": state_id,
|
|
|
|
}
|
2018-05-31 03:03:47 -06:00
|
|
|
for key, state_id in iteritems(delta_state)
|
2016-09-05 02:34:24 -06:00
|
|
|
],
|
|
|
|
)
|
|
|
|
|
|
|
|
progress = {
|
|
|
|
"last_state_group": state_group,
|
|
|
|
"rows_inserted": rows_inserted + batch_size,
|
|
|
|
"max_group": max_group,
|
|
|
|
}
|
|
|
|
|
|
|
|
self._background_update_progress_txn(
|
|
|
|
txn, self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME, progress
|
|
|
|
)
|
|
|
|
|
|
|
|
return False, batch_size
|
|
|
|
|
|
|
|
finished, result = yield self.runInteraction(
|
|
|
|
self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME, reindex_txn
|
|
|
|
)
|
|
|
|
|
|
|
|
if finished:
|
|
|
|
yield self._end_background_update(self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME)
|
|
|
|
|
2016-09-05 08:49:57 -06:00
|
|
|
defer.returnValue(result * BATCH_SIZE_SCALE_FACTOR)
|
2016-09-08 09:18:01 -06:00
|
|
|
|
|
|
|
@defer.inlineCallbacks
|
|
|
|
def _background_index_state(self, progress, batch_size):
|
2016-09-14 03:03:48 -06:00
|
|
|
def reindex_txn(conn):
|
|
|
|
conn.rollback()
|
2016-09-14 03:18:30 -06:00
|
|
|
if isinstance(self.database_engine, PostgresEngine):
|
|
|
|
# postgres insists on autocommit for the index
|
|
|
|
conn.set_session(autocommit=True)
|
|
|
|
try:
|
|
|
|
txn = conn.cursor()
|
2016-09-14 03:03:48 -06:00
|
|
|
txn.execute(
|
|
|
|
"CREATE INDEX CONCURRENTLY state_groups_state_type_idx"
|
|
|
|
" ON state_groups_state(state_group, type, state_key)"
|
|
|
|
)
|
|
|
|
txn.execute(
|
|
|
|
"DROP INDEX IF EXISTS state_groups_state_id"
|
|
|
|
)
|
2016-09-14 03:18:30 -06:00
|
|
|
finally:
|
|
|
|
conn.set_session(autocommit=False)
|
|
|
|
else:
|
|
|
|
txn = conn.cursor()
|
|
|
|
txn.execute(
|
|
|
|
"CREATE INDEX state_groups_state_type_idx"
|
|
|
|
" ON state_groups_state(state_group, type, state_key)"
|
|
|
|
)
|
|
|
|
txn.execute(
|
|
|
|
"DROP INDEX IF EXISTS state_groups_state_id"
|
|
|
|
)
|
2016-09-08 09:18:01 -06:00
|
|
|
|
2016-09-14 03:03:48 -06:00
|
|
|
yield self.runWithConnection(reindex_txn)
|
2016-09-08 09:18:01 -06:00
|
|
|
|
|
|
|
yield self._end_background_update(self.STATE_GROUP_INDEX_UPDATE_NAME)
|
|
|
|
|
|
|
|
defer.returnValue(1)
|