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https://mau.dev/maunium/synapse.git
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91c60f3042
I'd like to get a better insight into what we are doing with respect to state res. The list of state groups we are resolving across should be short (if it isn't, that's a massive problem in itself), so it should be fine to log it in ite entiretly. I've done some grepping and found approximately zero cases in which the "shortcut" code delivered the result, so I've ripped that out too.
695 lines
24 KiB
Python
695 lines
24 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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# Copyright 2018 New Vector 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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from collections import namedtuple
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from typing import (
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Awaitable,
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Dict,
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Iterable,
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List,
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Optional,
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Sequence,
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Set,
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Union,
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overload,
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)
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import attr
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from frozendict import frozendict
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from prometheus_client import Histogram
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from typing_extensions import Literal
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from synapse.api.constants import EventTypes
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from synapse.api.room_versions import KNOWN_ROOM_VERSIONS, StateResolutionVersions
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from synapse.events import EventBase
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from synapse.events.snapshot import EventContext
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from synapse.logging.utils import log_function
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from synapse.state import v1, v2
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from synapse.storage.databases.main.events_worker import EventRedactBehaviour
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from synapse.storage.roommember import ProfileInfo
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from synapse.types import Collection, StateMap
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from synapse.util import Clock
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from synapse.util.async_helpers import Linearizer
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from synapse.util.caches.expiringcache import ExpiringCache
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from synapse.util.metrics import Measure, measure_func
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logger = logging.getLogger(__name__)
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# Metrics for number of state groups involved in a resolution.
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state_groups_histogram = Histogram(
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"synapse_state_number_state_groups_in_resolution",
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"Number of state groups used when performing a state resolution",
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buckets=(1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
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)
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KeyStateTuple = namedtuple("KeyStateTuple", ("context", "type", "state_key"))
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EVICTION_TIMEOUT_SECONDS = 60 * 60
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_NEXT_STATE_ID = 1
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POWER_KEY = (EventTypes.PowerLevels, "")
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def _gen_state_id():
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global _NEXT_STATE_ID
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s = "X%d" % (_NEXT_STATE_ID,)
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_NEXT_STATE_ID += 1
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return s
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class _StateCacheEntry:
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__slots__ = ["state", "state_group", "state_id", "prev_group", "delta_ids"]
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def __init__(
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self,
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state: StateMap[str],
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state_group: Optional[int],
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prev_group: Optional[int] = None,
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delta_ids: Optional[StateMap[str]] = None,
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):
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# A map from (type, state_key) to event_id.
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self.state = frozendict(state)
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# the ID of a state group if one and only one is involved.
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# otherwise, None otherwise?
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self.state_group = state_group
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self.prev_group = prev_group
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self.delta_ids = frozendict(delta_ids) if delta_ids is not None else None
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# The `state_id` is a unique ID we generate that can be used as ID for
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# this collection of state. Usually this would be the same as the
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# state group, but on worker instances we can't generate a new state
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# group each time we resolve state, so we generate a separate one that
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# isn't persisted and is used solely for caches.
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# `state_id` is either a state_group (and so an int) or a string. This
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# ensures we don't accidentally persist a state_id as a stateg_group
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if state_group:
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self.state_id = state_group
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else:
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self.state_id = _gen_state_id()
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def __len__(self):
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return len(self.state)
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class StateHandler:
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"""Fetches bits of state from the stores, and does state resolution
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where necessary
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"""
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def __init__(self, hs):
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self.clock = hs.get_clock()
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self.store = hs.get_datastore()
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self.state_store = hs.get_storage().state
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self.hs = hs
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self._state_resolution_handler = hs.get_state_resolution_handler()
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@overload
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async def get_current_state(
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self,
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room_id: str,
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event_type: Literal[None] = None,
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state_key: str = "",
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latest_event_ids: Optional[List[str]] = None,
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) -> StateMap[EventBase]:
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...
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@overload
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async def get_current_state(
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self,
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room_id: str,
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event_type: str,
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state_key: str = "",
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latest_event_ids: Optional[List[str]] = None,
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) -> Optional[EventBase]:
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...
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async def get_current_state(
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self,
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room_id: str,
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event_type: Optional[str] = None,
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state_key: str = "",
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latest_event_ids: Optional[List[str]] = None,
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) -> Union[Optional[EventBase], StateMap[EventBase]]:
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"""Retrieves the current state for the room. This is done by
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calling `get_latest_events_in_room` to get the leading edges of the
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event graph and then resolving any of the state conflicts.
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This is equivalent to getting the state of an event that were to send
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next before receiving any new events.
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Returns:
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If `event_type` is specified, then the method returns only the one
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event (or None) with that `event_type` and `state_key`.
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Otherwise, a map from (type, state_key) to event.
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"""
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if not latest_event_ids:
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latest_event_ids = await self.store.get_latest_event_ids_in_room(room_id)
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assert latest_event_ids is not None
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logger.debug("calling resolve_state_groups from get_current_state")
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ret = await self.resolve_state_groups_for_events(room_id, latest_event_ids)
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state = ret.state
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if event_type:
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event_id = state.get((event_type, state_key))
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event = None
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if event_id:
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event = await self.store.get_event(event_id, allow_none=True)
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return event
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state_map = await self.store.get_events(
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list(state.values()), get_prev_content=False
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)
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return {
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key: state_map[e_id] for key, e_id in state.items() if e_id in state_map
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}
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async def get_current_state_ids(
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self, room_id: str, latest_event_ids: Optional[Iterable[str]] = None
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) -> StateMap[str]:
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"""Get the current state, or the state at a set of events, for a room
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Args:
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room_id:
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latest_event_ids: if given, the forward extremities to resolve. If
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None, we look them up from the database (via a cache).
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Returns:
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the state dict, mapping from (event_type, state_key) -> event_id
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"""
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if not latest_event_ids:
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latest_event_ids = await self.store.get_latest_event_ids_in_room(room_id)
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assert latest_event_ids is not None
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logger.debug("calling resolve_state_groups from get_current_state_ids")
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ret = await self.resolve_state_groups_for_events(room_id, latest_event_ids)
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return ret.state
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async def get_current_users_in_room(
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self, room_id: str, latest_event_ids: Optional[List[str]] = None
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) -> Dict[str, ProfileInfo]:
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"""
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Get the users who are currently in a room.
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Args:
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room_id: The ID of the room.
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latest_event_ids: Precomputed list of latest event IDs. Will be computed if None.
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Returns:
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Dictionary of user IDs to their profileinfo.
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"""
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if not latest_event_ids:
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latest_event_ids = await self.store.get_latest_event_ids_in_room(room_id)
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assert latest_event_ids is not None
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logger.debug("calling resolve_state_groups from get_current_users_in_room")
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entry = await self.resolve_state_groups_for_events(room_id, latest_event_ids)
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return await self.store.get_joined_users_from_state(room_id, entry)
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async def get_current_hosts_in_room(self, room_id: str) -> Set[str]:
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event_ids = await self.store.get_latest_event_ids_in_room(room_id)
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return await self.get_hosts_in_room_at_events(room_id, event_ids)
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async def get_hosts_in_room_at_events(
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self, room_id: str, event_ids: List[str]
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) -> Set[str]:
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"""Get the hosts that were in a room at the given event ids
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Args:
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room_id:
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event_ids:
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Returns:
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The hosts in the room at the given events
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"""
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entry = await self.resolve_state_groups_for_events(room_id, event_ids)
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return await self.store.get_joined_hosts(room_id, entry)
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async def compute_event_context(
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self, event: EventBase, old_state: Optional[Iterable[EventBase]] = None
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) -> EventContext:
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"""Build an EventContext structure for the event.
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This works out what the current state should be for the event, and
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generates a new state group if necessary.
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Args:
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event:
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old_state: The state at the event if it can't be
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calculated from existing events. This is normally only specified
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when receiving an event from federation where we don't have the
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prev events for, e.g. when backfilling.
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Returns:
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The event context.
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"""
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if event.internal_metadata.is_outlier():
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# If this is an outlier, then we know it shouldn't have any current
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# state. Certainly store.get_current_state won't return any, and
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# persisting the event won't store the state group.
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# FIXME: why do we populate current_state_ids? I thought the point was
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# that we weren't supposed to have any state for outliers?
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if old_state:
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prev_state_ids = {(s.type, s.state_key): s.event_id for s in old_state}
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if event.is_state():
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current_state_ids = dict(prev_state_ids)
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key = (event.type, event.state_key)
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current_state_ids[key] = event.event_id
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else:
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current_state_ids = prev_state_ids
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else:
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current_state_ids = {}
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prev_state_ids = {}
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# We don't store state for outliers, so we don't generate a state
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# group for it.
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context = EventContext.with_state(
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state_group=None,
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state_group_before_event=None,
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current_state_ids=current_state_ids,
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prev_state_ids=prev_state_ids,
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)
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return context
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#
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# first of all, figure out the state before the event
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#
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if old_state:
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# if we're given the state before the event, then we use that
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state_ids_before_event = {
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(s.type, s.state_key): s.event_id for s in old_state
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} # type: StateMap[str]
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state_group_before_event = None
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state_group_before_event_prev_group = None
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deltas_to_state_group_before_event = None
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else:
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# otherwise, we'll need to resolve the state across the prev_events.
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logger.debug("calling resolve_state_groups from compute_event_context")
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entry = await self.resolve_state_groups_for_events(
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event.room_id, event.prev_event_ids()
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)
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state_ids_before_event = entry.state
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state_group_before_event = entry.state_group
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state_group_before_event_prev_group = entry.prev_group
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deltas_to_state_group_before_event = entry.delta_ids
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#
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# make sure that we have a state group at that point. If it's not a state event,
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# that will be the state group for the new event. If it *is* a state event,
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# it might get rejected (in which case we'll need to persist it with the
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# previous state group)
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#
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if not state_group_before_event:
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state_group_before_event = await self.state_store.store_state_group(
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event.event_id,
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event.room_id,
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prev_group=state_group_before_event_prev_group,
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delta_ids=deltas_to_state_group_before_event,
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current_state_ids=state_ids_before_event,
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)
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# XXX: can we update the state cache entry for the new state group? or
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# could we set a flag on resolve_state_groups_for_events to tell it to
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# always make a state group?
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#
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# now if it's not a state event, we're done
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#
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if not event.is_state():
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return EventContext.with_state(
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state_group_before_event=state_group_before_event,
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state_group=state_group_before_event,
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current_state_ids=state_ids_before_event,
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prev_state_ids=state_ids_before_event,
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prev_group=state_group_before_event_prev_group,
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delta_ids=deltas_to_state_group_before_event,
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)
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#
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# otherwise, we'll need to create a new state group for after the event
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#
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key = (event.type, event.state_key)
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if key in state_ids_before_event:
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replaces = state_ids_before_event[key]
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if replaces != event.event_id:
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event.unsigned["replaces_state"] = replaces
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state_ids_after_event = dict(state_ids_before_event)
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state_ids_after_event[key] = event.event_id
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delta_ids = {key: event.event_id}
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state_group_after_event = await self.state_store.store_state_group(
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event.event_id,
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event.room_id,
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prev_group=state_group_before_event,
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delta_ids=delta_ids,
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current_state_ids=state_ids_after_event,
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)
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return EventContext.with_state(
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state_group=state_group_after_event,
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state_group_before_event=state_group_before_event,
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current_state_ids=state_ids_after_event,
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prev_state_ids=state_ids_before_event,
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prev_group=state_group_before_event,
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delta_ids=delta_ids,
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)
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@measure_func()
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async def resolve_state_groups_for_events(
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self, room_id: str, event_ids: Iterable[str]
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) -> _StateCacheEntry:
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""" Given a list of event_ids this method fetches the state at each
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event, resolves conflicts between them and returns them.
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Args:
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room_id
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event_ids
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Returns:
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The resolved state
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"""
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logger.debug("resolve_state_groups event_ids %s", event_ids)
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# map from state group id to the state in that state group (where
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# 'state' is a map from state key to event id)
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# dict[int, dict[(str, str), str]]
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state_groups_ids = await self.state_store.get_state_groups_ids(
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room_id, event_ids
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)
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if len(state_groups_ids) == 0:
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return _StateCacheEntry(state={}, state_group=None)
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elif len(state_groups_ids) == 1:
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name, state_list = list(state_groups_ids.items()).pop()
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prev_group, delta_ids = await self.state_store.get_state_group_delta(name)
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return _StateCacheEntry(
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state=state_list,
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state_group=name,
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prev_group=prev_group,
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delta_ids=delta_ids,
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)
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room_version = await self.store.get_room_version_id(room_id)
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result = await self._state_resolution_handler.resolve_state_groups(
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room_id,
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room_version,
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state_groups_ids,
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None,
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state_res_store=StateResolutionStore(self.store),
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)
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return result
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async def resolve_events(
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self,
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room_version: str,
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state_sets: Collection[Iterable[EventBase]],
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event: EventBase,
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) -> StateMap[EventBase]:
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logger.info(
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"Resolving state for %s with %d groups", event.room_id, len(state_sets)
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)
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state_set_ids = [
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{(ev.type, ev.state_key): ev.event_id for ev in st} for st in state_sets
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]
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state_map = {ev.event_id: ev for st in state_sets for ev in st}
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with Measure(self.clock, "state._resolve_events"):
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new_state = await resolve_events_with_store(
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self.clock,
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event.room_id,
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room_version,
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state_set_ids,
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event_map=state_map,
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state_res_store=StateResolutionStore(self.store),
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)
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return {key: state_map[ev_id] for key, ev_id in new_state.items()}
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class StateResolutionHandler:
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"""Responsible for doing state conflict resolution.
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Note that the storage layer depends on this handler, so all functions must
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be storage-independent.
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"""
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def __init__(self, hs):
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self.clock = hs.get_clock()
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self.resolve_linearizer = Linearizer(name="state_resolve_lock")
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# dict of set of event_ids -> _StateCacheEntry.
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self._state_cache = ExpiringCache(
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cache_name="state_cache",
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clock=self.clock,
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max_len=100000,
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expiry_ms=EVICTION_TIMEOUT_SECONDS * 1000,
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iterable=True,
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reset_expiry_on_get=True,
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)
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@log_function
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async def resolve_state_groups(
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self,
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room_id: str,
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room_version: str,
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state_groups_ids: Dict[int, StateMap[str]],
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event_map: Optional[Dict[str, EventBase]],
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state_res_store: "StateResolutionStore",
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):
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"""Resolves conflicts between a set of state groups
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Always generates a new state group (unless we hit the cache), so should
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not be called for a single state group
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Args:
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room_id: room we are resolving for (used for logging and sanity checks)
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room_version: version of the room
|
|
state_groups_ids:
|
|
A map from state group id to the state in that state group
|
|
(where 'state' is a map from state key to event id)
|
|
|
|
event_map:
|
|
a dict from event_id to event, for any events that we happen to
|
|
have in flight (eg, those currently being persisted). This will be
|
|
used as a starting point fof finding the state we need; any missing
|
|
events will be requested via state_res_store.
|
|
|
|
If None, all events will be fetched via state_res_store.
|
|
|
|
state_res_store
|
|
|
|
Returns:
|
|
The resolved state
|
|
"""
|
|
group_names = frozenset(state_groups_ids.keys())
|
|
|
|
with (await self.resolve_linearizer.queue(group_names)):
|
|
cache = self._state_cache.get(group_names, None)
|
|
if cache:
|
|
return cache
|
|
|
|
logger.info(
|
|
"Resolving state for %s with groups %s", room_id, list(group_names),
|
|
)
|
|
|
|
state_groups_histogram.observe(len(state_groups_ids))
|
|
|
|
with Measure(self.clock, "state._resolve_events"):
|
|
new_state = await resolve_events_with_store(
|
|
self.clock,
|
|
room_id,
|
|
room_version,
|
|
list(state_groups_ids.values()),
|
|
event_map=event_map,
|
|
state_res_store=state_res_store,
|
|
)
|
|
|
|
# if the new state matches any of the input state groups, we can
|
|
# use that state group again. Otherwise we will generate a state_id
|
|
# which will be used as a cache key for future resolutions, but
|
|
# not get persisted.
|
|
|
|
with Measure(self.clock, "state.create_group_ids"):
|
|
cache = _make_state_cache_entry(new_state, state_groups_ids)
|
|
|
|
self._state_cache[group_names] = cache
|
|
|
|
return cache
|
|
|
|
|
|
def _make_state_cache_entry(
|
|
new_state: StateMap[str], state_groups_ids: Dict[int, StateMap[str]]
|
|
) -> _StateCacheEntry:
|
|
"""Given a resolved state, and a set of input state groups, pick one to base
|
|
a new state group on (if any), and return an appropriately-constructed
|
|
_StateCacheEntry.
|
|
|
|
Args:
|
|
new_state: resolved state map (mapping from (type, state_key) to event_id)
|
|
|
|
state_groups_ids:
|
|
map from state group id to the state in that state group (where
|
|
'state' is a map from state key to event id)
|
|
|
|
Returns:
|
|
The cache entry.
|
|
"""
|
|
# if the new state matches any of the input state groups, we can
|
|
# use that state group again. Otherwise we will generate a state_id
|
|
# which will be used as a cache key for future resolutions, but
|
|
# not get persisted.
|
|
|
|
# first look for exact matches
|
|
new_state_event_ids = set(new_state.values())
|
|
for sg, state in state_groups_ids.items():
|
|
if len(new_state_event_ids) != len(state):
|
|
continue
|
|
|
|
old_state_event_ids = set(state.values())
|
|
if new_state_event_ids == old_state_event_ids:
|
|
# got an exact match.
|
|
return _StateCacheEntry(state=new_state, state_group=sg)
|
|
|
|
# TODO: We want to create a state group for this set of events, to
|
|
# increase cache hits, but we need to make sure that it doesn't
|
|
# end up as a prev_group without being added to the database
|
|
|
|
# failing that, look for the closest match.
|
|
prev_group = None
|
|
delta_ids = None
|
|
|
|
for old_group, old_state in state_groups_ids.items():
|
|
n_delta_ids = {k: v for k, v in new_state.items() if old_state.get(k) != v}
|
|
if not delta_ids or len(n_delta_ids) < len(delta_ids):
|
|
prev_group = old_group
|
|
delta_ids = n_delta_ids
|
|
|
|
return _StateCacheEntry(
|
|
state=new_state, state_group=None, prev_group=prev_group, delta_ids=delta_ids
|
|
)
|
|
|
|
|
|
def resolve_events_with_store(
|
|
clock: Clock,
|
|
room_id: str,
|
|
room_version: str,
|
|
state_sets: Sequence[StateMap[str]],
|
|
event_map: Optional[Dict[str, EventBase]],
|
|
state_res_store: "StateResolutionStore",
|
|
) -> Awaitable[StateMap[str]]:
|
|
"""
|
|
Args:
|
|
room_id: the room we are working in
|
|
|
|
room_version: Version of the room
|
|
|
|
state_sets: List of dicts of (type, state_key) -> event_id,
|
|
which are the different state groups to resolve.
|
|
|
|
event_map:
|
|
a dict from event_id to event, for any events that we happen to
|
|
have in flight (eg, those currently being persisted). This will be
|
|
used as a starting point fof finding the state we need; any missing
|
|
events will be requested via state_map_factory.
|
|
|
|
If None, all events will be fetched via state_res_store.
|
|
|
|
state_res_store: a place to fetch events from
|
|
|
|
Returns:
|
|
a map from (type, state_key) to event_id.
|
|
"""
|
|
v = KNOWN_ROOM_VERSIONS[room_version]
|
|
if v.state_res == StateResolutionVersions.V1:
|
|
return v1.resolve_events_with_store(
|
|
room_id, state_sets, event_map, state_res_store.get_events
|
|
)
|
|
else:
|
|
return v2.resolve_events_with_store(
|
|
clock, room_id, room_version, state_sets, event_map, state_res_store
|
|
)
|
|
|
|
|
|
@attr.s(slots=True)
|
|
class StateResolutionStore:
|
|
"""Interface that allows state resolution algorithms to access the database
|
|
in well defined way.
|
|
|
|
Args:
|
|
store (DataStore)
|
|
"""
|
|
|
|
store = attr.ib()
|
|
|
|
def get_events(
|
|
self, event_ids: Iterable[str], allow_rejected: bool = False
|
|
) -> Awaitable[Dict[str, EventBase]]:
|
|
"""Get events from the database
|
|
|
|
Args:
|
|
event_ids: The event_ids of the events to fetch
|
|
allow_rejected: If True return rejected events.
|
|
|
|
Returns:
|
|
An awaitable which resolves to a dict from event_id to event.
|
|
"""
|
|
|
|
return self.store.get_events(
|
|
event_ids,
|
|
redact_behaviour=EventRedactBehaviour.AS_IS,
|
|
get_prev_content=False,
|
|
allow_rejected=allow_rejected,
|
|
)
|
|
|
|
def get_auth_chain_difference(
|
|
self, state_sets: List[Set[str]]
|
|
) -> Awaitable[Set[str]]:
|
|
"""Given sets of state events figure out the auth chain difference (as
|
|
per state res v2 algorithm).
|
|
|
|
This equivalent to fetching the full auth chain for each set of state
|
|
and returning the events that don't appear in each and every auth
|
|
chain.
|
|
|
|
Returns:
|
|
An awaitable that resolves to a set of event IDs.
|
|
"""
|
|
|
|
return self.store.get_auth_chain_difference(state_sets)
|