822 lines
28 KiB
Python
822 lines
28 KiB
Python
# Copyright 2014-2016 OpenMarket Ltd
|
|
# Copyright 2018 New Vector Ltd
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import heapq
|
|
import logging
|
|
from collections import defaultdict, namedtuple
|
|
from typing import (
|
|
Any,
|
|
Awaitable,
|
|
Callable,
|
|
Collection,
|
|
DefaultDict,
|
|
Dict,
|
|
FrozenSet,
|
|
Iterable,
|
|
List,
|
|
Optional,
|
|
Sequence,
|
|
Set,
|
|
Tuple,
|
|
Union,
|
|
overload,
|
|
)
|
|
|
|
import attr
|
|
from frozendict import frozendict
|
|
from prometheus_client import Counter, Histogram
|
|
from typing_extensions import Literal
|
|
|
|
from synapse.api.constants import EventTypes
|
|
from synapse.api.room_versions import KNOWN_ROOM_VERSIONS, StateResolutionVersions
|
|
from synapse.events import EventBase
|
|
from synapse.events.snapshot import EventContext
|
|
from synapse.logging.context import ContextResourceUsage
|
|
from synapse.logging.utils import log_function
|
|
from synapse.state import v1, v2
|
|
from synapse.storage.databases.main.events_worker import EventRedactBehaviour
|
|
from synapse.storage.roommember import ProfileInfo
|
|
from synapse.types import StateMap
|
|
from synapse.util.async_helpers import Linearizer
|
|
from synapse.util.caches.expiringcache import ExpiringCache
|
|
from synapse.util.metrics import Measure, measure_func
|
|
|
|
logger = logging.getLogger(__name__)
|
|
metrics_logger = logging.getLogger("synapse.state.metrics")
|
|
|
|
# Metrics for number of state groups involved in a resolution.
|
|
state_groups_histogram = Histogram(
|
|
"synapse_state_number_state_groups_in_resolution",
|
|
"Number of state groups used when performing a state resolution",
|
|
buckets=(1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
|
|
)
|
|
|
|
|
|
KeyStateTuple = namedtuple("KeyStateTuple", ("context", "type", "state_key"))
|
|
|
|
|
|
EVICTION_TIMEOUT_SECONDS = 60 * 60
|
|
|
|
|
|
_NEXT_STATE_ID = 1
|
|
|
|
POWER_KEY = (EventTypes.PowerLevels, "")
|
|
|
|
|
|
def _gen_state_id():
|
|
global _NEXT_STATE_ID
|
|
s = "X%d" % (_NEXT_STATE_ID,)
|
|
_NEXT_STATE_ID += 1
|
|
return s
|
|
|
|
|
|
class _StateCacheEntry:
|
|
__slots__ = ["state", "state_group", "state_id", "prev_group", "delta_ids"]
|
|
|
|
def __init__(
|
|
self,
|
|
state: StateMap[str],
|
|
state_group: Optional[int],
|
|
prev_group: Optional[int] = None,
|
|
delta_ids: Optional[StateMap[str]] = None,
|
|
):
|
|
# A map from (type, state_key) to event_id.
|
|
self.state = frozendict(state)
|
|
|
|
# the ID of a state group if one and only one is involved.
|
|
# otherwise, None otherwise?
|
|
self.state_group = state_group
|
|
|
|
self.prev_group = prev_group
|
|
self.delta_ids = frozendict(delta_ids) if delta_ids is not None else None
|
|
|
|
# The `state_id` is a unique ID we generate that can be used as ID for
|
|
# this collection of state. Usually this would be the same as the
|
|
# state group, but on worker instances we can't generate a new state
|
|
# group each time we resolve state, so we generate a separate one that
|
|
# isn't persisted and is used solely for caches.
|
|
# `state_id` is either a state_group (and so an int) or a string. This
|
|
# ensures we don't accidentally persist a state_id as a stateg_group
|
|
if state_group:
|
|
self.state_id = state_group
|
|
else:
|
|
self.state_id = _gen_state_id()
|
|
|
|
def __len__(self):
|
|
return len(self.state)
|
|
|
|
|
|
class StateHandler:
|
|
"""Fetches bits of state from the stores, and does state resolution
|
|
where necessary
|
|
"""
|
|
|
|
def __init__(self, hs):
|
|
self.clock = hs.get_clock()
|
|
self.store = hs.get_datastore()
|
|
self.state_store = hs.get_storage().state
|
|
self.hs = hs
|
|
self._state_resolution_handler = hs.get_state_resolution_handler()
|
|
|
|
@overload
|
|
async def get_current_state(
|
|
self,
|
|
room_id: str,
|
|
event_type: Literal[None] = None,
|
|
state_key: str = "",
|
|
latest_event_ids: Optional[List[str]] = None,
|
|
) -> StateMap[EventBase]:
|
|
...
|
|
|
|
@overload
|
|
async def get_current_state(
|
|
self,
|
|
room_id: str,
|
|
event_type: str,
|
|
state_key: str = "",
|
|
latest_event_ids: Optional[List[str]] = None,
|
|
) -> Optional[EventBase]:
|
|
...
|
|
|
|
async def get_current_state(
|
|
self,
|
|
room_id: str,
|
|
event_type: Optional[str] = None,
|
|
state_key: str = "",
|
|
latest_event_ids: Optional[List[str]] = None,
|
|
) -> Union[Optional[EventBase], StateMap[EventBase]]:
|
|
"""Retrieves the current state for the room. This is done by
|
|
calling `get_latest_events_in_room` to get the leading edges of the
|
|
event graph and then resolving any of the state conflicts.
|
|
|
|
This is equivalent to getting the state of an event that were to send
|
|
next before receiving any new events.
|
|
|
|
Returns:
|
|
If `event_type` is specified, then the method returns only the one
|
|
event (or None) with that `event_type` and `state_key`.
|
|
|
|
Otherwise, a map from (type, state_key) to event.
|
|
"""
|
|
if not latest_event_ids:
|
|
latest_event_ids = await self.store.get_latest_event_ids_in_room(room_id)
|
|
assert latest_event_ids is not None
|
|
|
|
logger.debug("calling resolve_state_groups from get_current_state")
|
|
ret = await self.resolve_state_groups_for_events(room_id, latest_event_ids)
|
|
state = ret.state
|
|
|
|
if event_type:
|
|
event_id = state.get((event_type, state_key))
|
|
event = None
|
|
if event_id:
|
|
event = await self.store.get_event(event_id, allow_none=True)
|
|
return event
|
|
|
|
state_map = await self.store.get_events(
|
|
list(state.values()), get_prev_content=False
|
|
)
|
|
return {
|
|
key: state_map[e_id] for key, e_id in state.items() if e_id in state_map
|
|
}
|
|
|
|
async def get_current_state_ids(
|
|
self, room_id: str, latest_event_ids: Optional[Iterable[str]] = None
|
|
) -> StateMap[str]:
|
|
"""Get the current state, or the state at a set of events, for a room
|
|
|
|
Args:
|
|
room_id:
|
|
latest_event_ids: if given, the forward extremities to resolve. If
|
|
None, we look them up from the database (via a cache).
|
|
|
|
Returns:
|
|
the state dict, mapping from (event_type, state_key) -> event_id
|
|
"""
|
|
if not latest_event_ids:
|
|
latest_event_ids = await self.store.get_latest_event_ids_in_room(room_id)
|
|
assert latest_event_ids is not None
|
|
|
|
logger.debug("calling resolve_state_groups from get_current_state_ids")
|
|
ret = await self.resolve_state_groups_for_events(room_id, latest_event_ids)
|
|
return ret.state
|
|
|
|
async def get_current_users_in_room(
|
|
self, room_id: str, latest_event_ids: List[str]
|
|
) -> Dict[str, ProfileInfo]:
|
|
"""
|
|
Get the users who are currently in a room.
|
|
|
|
Note: This is much slower than using the equivalent method
|
|
`DataStore.get_users_in_room` or `DataStore.get_users_in_room_with_profiles`,
|
|
so this should only be used when wanting the users at a particular point
|
|
in the room.
|
|
|
|
Args:
|
|
room_id: The ID of the room.
|
|
latest_event_ids: Precomputed list of latest event IDs. Will be computed if None.
|
|
Returns:
|
|
Dictionary of user IDs to their profileinfo.
|
|
"""
|
|
|
|
assert latest_event_ids is not None
|
|
|
|
logger.debug("calling resolve_state_groups from get_current_users_in_room")
|
|
entry = await self.resolve_state_groups_for_events(room_id, latest_event_ids)
|
|
return await self.store.get_joined_users_from_state(room_id, entry)
|
|
|
|
async def get_current_hosts_in_room(self, room_id: str) -> Set[str]:
|
|
event_ids = await self.store.get_latest_event_ids_in_room(room_id)
|
|
return await self.get_hosts_in_room_at_events(room_id, event_ids)
|
|
|
|
async def get_hosts_in_room_at_events(
|
|
self, room_id: str, event_ids: List[str]
|
|
) -> Set[str]:
|
|
"""Get the hosts that were in a room at the given event ids
|
|
|
|
Args:
|
|
room_id:
|
|
event_ids:
|
|
|
|
Returns:
|
|
The hosts in the room at the given events
|
|
"""
|
|
entry = await self.resolve_state_groups_for_events(room_id, event_ids)
|
|
return await self.store.get_joined_hosts(room_id, entry)
|
|
|
|
async def compute_event_context(
|
|
self, event: EventBase, old_state: Optional[Iterable[EventBase]] = None
|
|
) -> EventContext:
|
|
"""Build an EventContext structure for the event.
|
|
|
|
This works out what the current state should be for the event, and
|
|
generates a new state group if necessary.
|
|
|
|
Args:
|
|
event:
|
|
old_state: The state at the event if it can't be
|
|
calculated from existing events. This is normally only specified
|
|
when receiving an event from federation where we don't have the
|
|
prev events for, e.g. when backfilling.
|
|
Returns:
|
|
The event context.
|
|
"""
|
|
|
|
if event.internal_metadata.is_outlier():
|
|
# If this is an outlier, then we know it shouldn't have any current
|
|
# state. Certainly store.get_current_state won't return any, and
|
|
# persisting the event won't store the state group.
|
|
|
|
# FIXME: why do we populate current_state_ids? I thought the point was
|
|
# that we weren't supposed to have any state for outliers?
|
|
if old_state:
|
|
prev_state_ids = {(s.type, s.state_key): s.event_id for s in old_state}
|
|
if event.is_state():
|
|
current_state_ids = dict(prev_state_ids)
|
|
key = (event.type, event.state_key)
|
|
current_state_ids[key] = event.event_id
|
|
else:
|
|
current_state_ids = prev_state_ids
|
|
else:
|
|
current_state_ids = {}
|
|
prev_state_ids = {}
|
|
|
|
# We don't store state for outliers, so we don't generate a state
|
|
# group for it.
|
|
context = EventContext.with_state(
|
|
state_group=None,
|
|
state_group_before_event=None,
|
|
current_state_ids=current_state_ids,
|
|
prev_state_ids=prev_state_ids,
|
|
)
|
|
|
|
return context
|
|
|
|
#
|
|
# first of all, figure out the state before the event
|
|
#
|
|
|
|
if old_state:
|
|
# if we're given the state before the event, then we use that
|
|
state_ids_before_event: StateMap[str] = {
|
|
(s.type, s.state_key): s.event_id for s in old_state
|
|
}
|
|
state_group_before_event = None
|
|
state_group_before_event_prev_group = None
|
|
deltas_to_state_group_before_event = None
|
|
entry = None
|
|
|
|
else:
|
|
# otherwise, we'll need to resolve the state across the prev_events.
|
|
logger.debug("calling resolve_state_groups from compute_event_context")
|
|
|
|
entry = await self.resolve_state_groups_for_events(
|
|
event.room_id, event.prev_event_ids()
|
|
)
|
|
|
|
state_ids_before_event = entry.state
|
|
state_group_before_event = entry.state_group
|
|
state_group_before_event_prev_group = entry.prev_group
|
|
deltas_to_state_group_before_event = entry.delta_ids
|
|
|
|
#
|
|
# make sure that we have a state group at that point. If it's not a state event,
|
|
# that will be the state group for the new event. If it *is* a state event,
|
|
# it might get rejected (in which case we'll need to persist it with the
|
|
# previous state group)
|
|
#
|
|
|
|
if not state_group_before_event:
|
|
state_group_before_event = await self.state_store.store_state_group(
|
|
event.event_id,
|
|
event.room_id,
|
|
prev_group=state_group_before_event_prev_group,
|
|
delta_ids=deltas_to_state_group_before_event,
|
|
current_state_ids=state_ids_before_event,
|
|
)
|
|
|
|
# Assign the new state group to the cached state entry.
|
|
#
|
|
# Note that this can race in that we could generate multiple state
|
|
# groups for the same state entry, but that is just inefficient
|
|
# rather than dangerous.
|
|
if entry and entry.state_group is None:
|
|
entry.state_group = state_group_before_event
|
|
|
|
#
|
|
# now if it's not a state event, we're done
|
|
#
|
|
|
|
if not event.is_state():
|
|
return EventContext.with_state(
|
|
state_group_before_event=state_group_before_event,
|
|
state_group=state_group_before_event,
|
|
current_state_ids=state_ids_before_event,
|
|
prev_state_ids=state_ids_before_event,
|
|
prev_group=state_group_before_event_prev_group,
|
|
delta_ids=deltas_to_state_group_before_event,
|
|
)
|
|
|
|
#
|
|
# otherwise, we'll need to create a new state group for after the event
|
|
#
|
|
|
|
key = (event.type, event.state_key)
|
|
if key in state_ids_before_event:
|
|
replaces = state_ids_before_event[key]
|
|
if replaces != event.event_id:
|
|
event.unsigned["replaces_state"] = replaces
|
|
|
|
state_ids_after_event = dict(state_ids_before_event)
|
|
state_ids_after_event[key] = event.event_id
|
|
delta_ids = {key: event.event_id}
|
|
|
|
state_group_after_event = await self.state_store.store_state_group(
|
|
event.event_id,
|
|
event.room_id,
|
|
prev_group=state_group_before_event,
|
|
delta_ids=delta_ids,
|
|
current_state_ids=state_ids_after_event,
|
|
)
|
|
|
|
return EventContext.with_state(
|
|
state_group=state_group_after_event,
|
|
state_group_before_event=state_group_before_event,
|
|
current_state_ids=state_ids_after_event,
|
|
prev_state_ids=state_ids_before_event,
|
|
prev_group=state_group_before_event,
|
|
delta_ids=delta_ids,
|
|
)
|
|
|
|
@measure_func()
|
|
async def resolve_state_groups_for_events(
|
|
self, room_id: str, event_ids: Iterable[str]
|
|
) -> _StateCacheEntry:
|
|
"""Given a list of event_ids this method fetches the state at each
|
|
event, resolves conflicts between them and returns them.
|
|
|
|
Args:
|
|
room_id
|
|
event_ids
|
|
|
|
Returns:
|
|
The resolved state
|
|
"""
|
|
logger.debug("resolve_state_groups event_ids %s", event_ids)
|
|
|
|
# map from state group id to the state in that state group (where
|
|
# 'state' is a map from state key to event id)
|
|
# dict[int, dict[(str, str), str]]
|
|
state_groups_ids = await self.state_store.get_state_groups_ids(
|
|
room_id, event_ids
|
|
)
|
|
|
|
if len(state_groups_ids) == 0:
|
|
return _StateCacheEntry(state={}, state_group=None)
|
|
elif len(state_groups_ids) == 1:
|
|
name, state_list = list(state_groups_ids.items()).pop()
|
|
|
|
prev_group, delta_ids = await self.state_store.get_state_group_delta(name)
|
|
|
|
return _StateCacheEntry(
|
|
state=state_list,
|
|
state_group=name,
|
|
prev_group=prev_group,
|
|
delta_ids=delta_ids,
|
|
)
|
|
|
|
room_version = await self.store.get_room_version_id(room_id)
|
|
|
|
result = await self._state_resolution_handler.resolve_state_groups(
|
|
room_id,
|
|
room_version,
|
|
state_groups_ids,
|
|
None,
|
|
state_res_store=StateResolutionStore(self.store),
|
|
)
|
|
return result
|
|
|
|
async def resolve_events(
|
|
self,
|
|
room_version: str,
|
|
state_sets: Collection[Iterable[EventBase]],
|
|
event: EventBase,
|
|
) -> StateMap[EventBase]:
|
|
logger.info(
|
|
"Resolving state for %s with %d groups", event.room_id, len(state_sets)
|
|
)
|
|
state_set_ids = [
|
|
{(ev.type, ev.state_key): ev.event_id for ev in st} for st in state_sets
|
|
]
|
|
|
|
state_map = {ev.event_id: ev for st in state_sets for ev in st}
|
|
|
|
new_state = await self._state_resolution_handler.resolve_events_with_store(
|
|
event.room_id,
|
|
room_version,
|
|
state_set_ids,
|
|
event_map=state_map,
|
|
state_res_store=StateResolutionStore(self.store),
|
|
)
|
|
|
|
return {key: state_map[ev_id] for key, ev_id in new_state.items()}
|
|
|
|
|
|
@attr.s(slots=True)
|
|
class _StateResMetrics:
|
|
"""Keeps track of some usage metrics about state res."""
|
|
|
|
# System and User CPU time, in seconds
|
|
cpu_time = attr.ib(type=float, default=0.0)
|
|
|
|
# time spent on database transactions (excluding scheduling time). This roughly
|
|
# corresponds to the amount of work done on the db server, excluding event fetches.
|
|
db_time = attr.ib(type=float, default=0.0)
|
|
|
|
# number of events fetched from the db.
|
|
db_events = attr.ib(type=int, default=0)
|
|
|
|
|
|
_biggest_room_by_cpu_counter = Counter(
|
|
"synapse_state_res_cpu_for_biggest_room_seconds",
|
|
"CPU time spent performing state resolution for the single most expensive "
|
|
"room for state resolution",
|
|
)
|
|
_biggest_room_by_db_counter = Counter(
|
|
"synapse_state_res_db_for_biggest_room_seconds",
|
|
"Database time spent performing state resolution for the single most "
|
|
"expensive room for state resolution",
|
|
)
|
|
|
|
|
|
class StateResolutionHandler:
|
|
"""Responsible for doing state conflict resolution.
|
|
|
|
Note that the storage layer depends on this handler, so all functions must
|
|
be storage-independent.
|
|
"""
|
|
|
|
def __init__(self, hs):
|
|
self.clock = hs.get_clock()
|
|
|
|
self.resolve_linearizer = Linearizer(name="state_resolve_lock")
|
|
|
|
# dict of set of event_ids -> _StateCacheEntry.
|
|
self._state_cache: ExpiringCache[
|
|
FrozenSet[int], _StateCacheEntry
|
|
] = ExpiringCache(
|
|
cache_name="state_cache",
|
|
clock=self.clock,
|
|
max_len=100000,
|
|
expiry_ms=EVICTION_TIMEOUT_SECONDS * 1000,
|
|
iterable=True,
|
|
reset_expiry_on_get=True,
|
|
)
|
|
|
|
#
|
|
# stuff for tracking time spent on state-res by room
|
|
#
|
|
|
|
# tracks the amount of work done on state res per room
|
|
self._state_res_metrics: DefaultDict[str, _StateResMetrics] = defaultdict(
|
|
_StateResMetrics
|
|
)
|
|
|
|
self.clock.looping_call(self._report_metrics, 120 * 1000)
|
|
|
|
@log_function
|
|
async def resolve_state_groups(
|
|
self,
|
|
room_id: str,
|
|
room_version: str,
|
|
state_groups_ids: Dict[int, StateMap[str]],
|
|
event_map: Optional[Dict[str, EventBase]],
|
|
state_res_store: "StateResolutionStore",
|
|
) -> _StateCacheEntry:
|
|
"""Resolves conflicts between a set of state groups
|
|
|
|
Always generates a new state group (unless we hit the cache), so should
|
|
not be called for a single state group
|
|
|
|
Args:
|
|
room_id: room we are resolving for (used for logging and sanity checks)
|
|
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 for 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))
|
|
|
|
new_state = await self.resolve_events_with_store(
|
|
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
|
|
|
|
async def resolve_events_with_store(
|
|
self,
|
|
room_id: str,
|
|
room_version: str,
|
|
state_sets: Sequence[StateMap[str]],
|
|
event_map: Optional[Dict[str, EventBase]],
|
|
state_res_store: "StateResolutionStore",
|
|
) -> 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 for 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.
|
|
"""
|
|
try:
|
|
with Measure(self.clock, "state._resolve_events") as m:
|
|
room_version_obj = KNOWN_ROOM_VERSIONS[room_version]
|
|
if room_version_obj.state_res == StateResolutionVersions.V1:
|
|
return await v1.resolve_events_with_store(
|
|
room_id,
|
|
room_version_obj,
|
|
state_sets,
|
|
event_map,
|
|
state_res_store.get_events,
|
|
)
|
|
else:
|
|
return await v2.resolve_events_with_store(
|
|
self.clock,
|
|
room_id,
|
|
room_version_obj,
|
|
state_sets,
|
|
event_map,
|
|
state_res_store,
|
|
)
|
|
finally:
|
|
self._record_state_res_metrics(room_id, m.get_resource_usage())
|
|
|
|
def _record_state_res_metrics(self, room_id: str, rusage: ContextResourceUsage):
|
|
room_metrics = self._state_res_metrics[room_id]
|
|
room_metrics.cpu_time += rusage.ru_utime + rusage.ru_stime
|
|
room_metrics.db_time += rusage.db_txn_duration_sec
|
|
room_metrics.db_events += rusage.evt_db_fetch_count
|
|
|
|
def _report_metrics(self):
|
|
if not self._state_res_metrics:
|
|
# no state res has happened since the last iteration: don't bother logging.
|
|
return
|
|
|
|
self._report_biggest(
|
|
lambda i: i.cpu_time,
|
|
"CPU time",
|
|
_biggest_room_by_cpu_counter,
|
|
)
|
|
|
|
self._report_biggest(
|
|
lambda i: i.db_time,
|
|
"DB time",
|
|
_biggest_room_by_db_counter,
|
|
)
|
|
|
|
self._state_res_metrics.clear()
|
|
|
|
def _report_biggest(
|
|
self,
|
|
extract_key: Callable[[_StateResMetrics], Any],
|
|
metric_name: str,
|
|
prometheus_counter_metric: Counter,
|
|
) -> None:
|
|
"""Report metrics on the biggest rooms for state res
|
|
|
|
Args:
|
|
extract_key: a callable which, given a _StateResMetrics, extracts a single
|
|
metric to sort by.
|
|
metric_name: the name of the metric we have extracted, for the log line
|
|
prometheus_counter_metric: a prometheus metric recording the sum of the
|
|
the extracted metric
|
|
"""
|
|
n_to_log = 10
|
|
if not metrics_logger.isEnabledFor(logging.DEBUG):
|
|
# only need the most expensive if we don't have debug logging, which
|
|
# allows nlargest() to degrade to max()
|
|
n_to_log = 1
|
|
|
|
items = self._state_res_metrics.items()
|
|
|
|
# log the N biggest rooms
|
|
biggest: List[Tuple[str, _StateResMetrics]] = heapq.nlargest(
|
|
n_to_log, items, key=lambda i: extract_key(i[1])
|
|
)
|
|
metrics_logger.debug(
|
|
"%i biggest rooms for state-res by %s: %s",
|
|
len(biggest),
|
|
metric_name,
|
|
["%s (%gs)" % (r, extract_key(m)) for (r, m) in biggest],
|
|
)
|
|
|
|
# report info on the single biggest to prometheus
|
|
_, biggest_metrics = biggest[0]
|
|
prometheus_counter_metric.inc(extract_key(biggest_metrics))
|
|
|
|
|
|
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: Optional[StateMap[str]] = 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
|
|
)
|
|
|
|
|
|
@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, room_id: str, 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(room_id, state_sets)
|