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e8f30a76ca
* Reproduce bug * Compute `least_function` first * Substitute `least_function` with an f-string * Bugfix: avoid overflow Co-authored-by: Eric Eastwood <erice@element.io>
2022 lines
78 KiB
Python
2022 lines
78 KiB
Python
# Copyright 2014-2016 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import datetime
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import itertools
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import logging
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from queue import Empty, PriorityQueue
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from typing import (
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TYPE_CHECKING,
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Collection,
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Dict,
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Iterable,
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List,
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Optional,
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Set,
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Tuple,
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cast,
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)
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import attr
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from prometheus_client import Counter, Gauge
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from synapse.api.constants import MAX_DEPTH, EventTypes
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from synapse.api.errors import StoreError
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from synapse.api.room_versions import EventFormatVersions, RoomVersion
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from synapse.events import EventBase, make_event_from_dict
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from synapse.logging.opentracing import tag_args, trace
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from synapse.metrics.background_process_metrics import wrap_as_background_process
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from synapse.storage._base import SQLBaseStore, db_to_json, make_in_list_sql_clause
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from synapse.storage.database import (
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DatabasePool,
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LoggingDatabaseConnection,
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LoggingTransaction,
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)
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from synapse.storage.databases.main.events_worker import EventsWorkerStore
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from synapse.storage.databases.main.signatures import SignatureWorkerStore
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from synapse.storage.engines import PostgresEngine, Sqlite3Engine
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from synapse.types import JsonDict
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from synapse.util import json_encoder
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from synapse.util.caches.descriptors import cached
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from synapse.util.caches.lrucache import LruCache
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from synapse.util.cancellation import cancellable
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from synapse.util.iterutils import batch_iter
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if TYPE_CHECKING:
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from synapse.server import HomeServer
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oldest_pdu_in_federation_staging = Gauge(
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"synapse_federation_server_oldest_inbound_pdu_in_staging",
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"The age in seconds since we received the oldest pdu in the federation staging area",
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)
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number_pdus_in_federation_queue = Gauge(
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"synapse_federation_server_number_inbound_pdu_in_staging",
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"The total number of events in the inbound federation staging",
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)
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pdus_pruned_from_federation_queue = Counter(
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"synapse_federation_server_number_inbound_pdu_pruned",
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"The number of events in the inbound federation staging that have been "
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"pruned due to the queue getting too long",
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)
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logger = logging.getLogger(__name__)
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# Parameters controlling exponential backoff between backfill failures.
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# After the first failure to backfill, we wait 2 hours before trying again. If the
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# second attempt fails, we wait 4 hours before trying again. If the third attempt fails,
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# we wait 8 hours before trying again, ... and so on.
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#
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# Each successive backoff period is twice as long as the last. However we cap this
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# period at a maximum of 2^8 = 256 hours: a little over 10 days. (This is the smallest
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# power of 2 which yields a maximum backoff period of at least 7 days---which was the
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# original maximum backoff period.) Even when we hit this cap, we will continue to
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# make backfill attempts once every 10 days.
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BACKFILL_EVENT_EXPONENTIAL_BACKOFF_MAXIMUM_DOUBLING_STEPS = 8
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BACKFILL_EVENT_EXPONENTIAL_BACKOFF_STEP_MILLISECONDS = int(
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datetime.timedelta(hours=1).total_seconds() * 1000
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)
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# We need a cap on the power of 2 or else the backoff period
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# 2^N * (milliseconds per hour)
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# will overflow when calcuated within the database. We ensure overflow does not occur
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# by checking that the largest backoff period fits in a 32-bit signed integer.
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_LONGEST_BACKOFF_PERIOD_MILLISECONDS = (
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2**BACKFILL_EVENT_EXPONENTIAL_BACKOFF_MAXIMUM_DOUBLING_STEPS
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) * BACKFILL_EVENT_EXPONENTIAL_BACKOFF_STEP_MILLISECONDS
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assert 0 < _LONGEST_BACKOFF_PERIOD_MILLISECONDS <= ((2**31) - 1)
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# All the info we need while iterating the DAG while backfilling
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@attr.s(frozen=True, slots=True, auto_attribs=True)
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class BackfillQueueNavigationItem:
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depth: int
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stream_ordering: int
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event_id: str
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type: str
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class _NoChainCoverIndex(Exception):
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def __init__(self, room_id: str):
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super().__init__("Unexpectedly no chain cover for events in %s" % (room_id,))
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class EventFederationWorkerStore(SignatureWorkerStore, EventsWorkerStore, SQLBaseStore):
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def __init__(
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self,
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database: DatabasePool,
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db_conn: LoggingDatabaseConnection,
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hs: "HomeServer",
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):
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super().__init__(database, db_conn, hs)
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self.hs = hs
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if hs.config.worker.run_background_tasks:
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hs.get_clock().looping_call(
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self._delete_old_forward_extrem_cache, 60 * 60 * 1000
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)
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# Cache of event ID to list of auth event IDs and their depths.
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self._event_auth_cache: LruCache[str, List[Tuple[str, int]]] = LruCache(
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500000, "_event_auth_cache", size_callback=len
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)
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self._clock.looping_call(self._get_stats_for_federation_staging, 30 * 1000)
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async def get_auth_chain(
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self, room_id: str, event_ids: Collection[str], include_given: bool = False
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) -> List[EventBase]:
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"""Get auth events for given event_ids. The events *must* be state events.
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Args:
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room_id: The room the event is in.
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event_ids: state events
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include_given: include the given events in result
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Returns:
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list of events
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"""
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event_ids = await self.get_auth_chain_ids(
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room_id, event_ids, include_given=include_given
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)
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return await self.get_events_as_list(event_ids)
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@trace
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@tag_args
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async def get_auth_chain_ids(
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self,
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room_id: str,
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event_ids: Collection[str],
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include_given: bool = False,
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) -> Set[str]:
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"""Get auth events for given event_ids. The events *must* be state events.
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Args:
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room_id: The room the event is in.
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event_ids: state events
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include_given: include the given events in result
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Returns:
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set of event_ids
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"""
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# Check if we have indexed the room so we can use the chain cover
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# algorithm.
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room = await self.get_room(room_id) # type: ignore[attr-defined]
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if room["has_auth_chain_index"]:
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try:
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return await self.db_pool.runInteraction(
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"get_auth_chain_ids_chains",
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self._get_auth_chain_ids_using_cover_index_txn,
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room_id,
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event_ids,
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include_given,
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)
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except _NoChainCoverIndex:
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# For whatever reason we don't actually have a chain cover index
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# for the events in question, so we fall back to the old method.
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pass
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return await self.db_pool.runInteraction(
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"get_auth_chain_ids",
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self._get_auth_chain_ids_txn,
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event_ids,
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include_given,
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)
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def _get_auth_chain_ids_using_cover_index_txn(
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self,
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txn: LoggingTransaction,
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room_id: str,
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event_ids: Collection[str],
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include_given: bool,
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) -> Set[str]:
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"""Calculates the auth chain IDs using the chain index."""
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# First we look up the chain ID/sequence numbers for the given events.
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initial_events = set(event_ids)
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# All the events that we've found that are reachable from the events.
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seen_events: Set[str] = set()
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# A map from chain ID to max sequence number of the given events.
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event_chains: Dict[int, int] = {}
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sql = """
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SELECT event_id, chain_id, sequence_number
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FROM event_auth_chains
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WHERE %s
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"""
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for batch in batch_iter(initial_events, 1000):
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clause, args = make_in_list_sql_clause(
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txn.database_engine, "event_id", batch
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)
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txn.execute(sql % (clause,), args)
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for event_id, chain_id, sequence_number in txn:
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seen_events.add(event_id)
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event_chains[chain_id] = max(
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sequence_number, event_chains.get(chain_id, 0)
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)
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# Check that we actually have a chain ID for all the events.
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events_missing_chain_info = initial_events.difference(seen_events)
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if events_missing_chain_info:
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# This can happen due to e.g. downgrade/upgrade of the server. We
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# raise an exception and fall back to the previous algorithm.
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logger.info(
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"Unexpectedly found that events don't have chain IDs in room %s: %s",
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room_id,
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events_missing_chain_info,
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)
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raise _NoChainCoverIndex(room_id)
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# Now we look up all links for the chains we have, adding chains that
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# are reachable from any event.
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sql = """
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SELECT
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origin_chain_id, origin_sequence_number,
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target_chain_id, target_sequence_number
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FROM event_auth_chain_links
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WHERE %s
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"""
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# A map from chain ID to max sequence number *reachable* from any event ID.
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chains: Dict[int, int] = {}
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# Add all linked chains reachable from initial set of chains.
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for batch2 in batch_iter(event_chains, 1000):
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clause, args = make_in_list_sql_clause(
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txn.database_engine, "origin_chain_id", batch2
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)
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txn.execute(sql % (clause,), args)
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for (
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origin_chain_id,
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origin_sequence_number,
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target_chain_id,
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target_sequence_number,
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) in txn:
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# chains are only reachable if the origin sequence number of
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# the link is less than the max sequence number in the
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# origin chain.
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if origin_sequence_number <= event_chains.get(origin_chain_id, 0):
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chains[target_chain_id] = max(
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target_sequence_number,
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chains.get(target_chain_id, 0),
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)
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# Add the initial set of chains, excluding the sequence corresponding to
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# initial event.
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for chain_id, seq_no in event_chains.items():
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chains[chain_id] = max(seq_no - 1, chains.get(chain_id, 0))
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# Now for each chain we figure out the maximum sequence number reachable
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# from *any* event ID. Events with a sequence less than that are in the
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# auth chain.
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if include_given:
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results = initial_events
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else:
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results = set()
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if isinstance(self.database_engine, PostgresEngine):
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# We can use `execute_values` to efficiently fetch the gaps when
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# using postgres.
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sql = """
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SELECT event_id
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FROM event_auth_chains AS c, (VALUES ?) AS l(chain_id, max_seq)
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WHERE
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c.chain_id = l.chain_id
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AND sequence_number <= max_seq
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"""
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rows = txn.execute_values(sql, chains.items())
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results.update(r for r, in rows)
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else:
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# For SQLite we just fall back to doing a noddy for loop.
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sql = """
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SELECT event_id FROM event_auth_chains
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WHERE chain_id = ? AND sequence_number <= ?
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"""
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for chain_id, max_no in chains.items():
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txn.execute(sql, (chain_id, max_no))
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results.update(r for r, in txn)
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return results
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def _get_auth_chain_ids_txn(
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self, txn: LoggingTransaction, event_ids: Collection[str], include_given: bool
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) -> Set[str]:
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"""Calculates the auth chain IDs.
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This is used when we don't have a cover index for the room.
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"""
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if include_given:
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results = set(event_ids)
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else:
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results = set()
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# We pull out the depth simply so that we can populate the
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# `_event_auth_cache` cache.
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base_sql = """
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SELECT a.event_id, auth_id, depth
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FROM event_auth AS a
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INNER JOIN events AS e ON (e.event_id = a.auth_id)
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WHERE
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"""
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front = set(event_ids)
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while front:
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new_front: Set[str] = set()
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for chunk in batch_iter(front, 100):
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# Pull the auth events either from the cache or DB.
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to_fetch: List[str] = [] # Event IDs to fetch from DB
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for event_id in chunk:
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res = self._event_auth_cache.get(event_id)
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if res is None:
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to_fetch.append(event_id)
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else:
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new_front.update(auth_id for auth_id, depth in res)
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if to_fetch:
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clause, args = make_in_list_sql_clause(
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txn.database_engine, "a.event_id", to_fetch
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)
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txn.execute(base_sql + clause, args)
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# Note we need to batch up the results by event ID before
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# adding to the cache.
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to_cache: Dict[str, List[Tuple[str, int]]] = {}
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for event_id, auth_event_id, auth_event_depth in txn:
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to_cache.setdefault(event_id, []).append(
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(auth_event_id, auth_event_depth)
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)
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new_front.add(auth_event_id)
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for event_id, auth_events in to_cache.items():
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self._event_auth_cache.set(event_id, auth_events)
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new_front -= results
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front = new_front
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results.update(front)
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return results
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async def get_auth_chain_difference(
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self, room_id: str, state_sets: List[Set[str]]
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) -> Set[str]:
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"""Given sets of state events figure out the auth chain difference (as
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per state res v2 algorithm).
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This equivalent to fetching the full auth chain for each set of state
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and returning the events that don't appear in each and every auth
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chain.
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Returns:
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The set of the difference in auth chains.
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"""
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# Check if we have indexed the room so we can use the chain cover
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# algorithm.
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room = await self.get_room(room_id) # type: ignore[attr-defined]
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if room["has_auth_chain_index"]:
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try:
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return await self.db_pool.runInteraction(
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"get_auth_chain_difference_chains",
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self._get_auth_chain_difference_using_cover_index_txn,
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room_id,
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state_sets,
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)
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except _NoChainCoverIndex:
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# For whatever reason we don't actually have a chain cover index
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# for the events in question, so we fall back to the old method.
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pass
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return await self.db_pool.runInteraction(
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"get_auth_chain_difference",
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self._get_auth_chain_difference_txn,
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state_sets,
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)
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def _get_auth_chain_difference_using_cover_index_txn(
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self, txn: LoggingTransaction, room_id: str, state_sets: List[Set[str]]
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) -> Set[str]:
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"""Calculates the auth chain difference using the chain index.
|
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See docs/auth_chain_difference_algorithm.md for details
|
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"""
|
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# First we look up the chain ID/sequence numbers for all the events, and
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# work out the chain/sequence numbers reachable from each state set.
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initial_events = set(state_sets[0]).union(*state_sets[1:])
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# Map from event_id -> (chain ID, seq no)
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chain_info: Dict[str, Tuple[int, int]] = {}
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# Map from chain ID -> seq no -> event Id
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chain_to_event: Dict[int, Dict[int, str]] = {}
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# All the chains that we've found that are reachable from the state
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# sets.
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seen_chains: Set[int] = set()
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|
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sql = """
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SELECT event_id, chain_id, sequence_number
|
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FROM event_auth_chains
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WHERE %s
|
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"""
|
||
for batch in batch_iter(initial_events, 1000):
|
||
clause, args = make_in_list_sql_clause(
|
||
txn.database_engine, "event_id", batch
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)
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txn.execute(sql % (clause,), args)
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|
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for event_id, chain_id, sequence_number in txn:
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chain_info[event_id] = (chain_id, sequence_number)
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seen_chains.add(chain_id)
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chain_to_event.setdefault(chain_id, {})[sequence_number] = event_id
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|
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# Check that we actually have a chain ID for all the events.
|
||
events_missing_chain_info = initial_events.difference(chain_info)
|
||
if events_missing_chain_info:
|
||
# This can happen due to e.g. downgrade/upgrade of the server. We
|
||
# raise an exception and fall back to the previous algorithm.
|
||
logger.info(
|
||
"Unexpectedly found that events don't have chain IDs in room %s: %s",
|
||
room_id,
|
||
events_missing_chain_info,
|
||
)
|
||
raise _NoChainCoverIndex(room_id)
|
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|
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# Corresponds to `state_sets`, except as a map from chain ID to max
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# sequence number reachable from the state set.
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set_to_chain: List[Dict[int, int]] = []
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for state_set in state_sets:
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chains: Dict[int, int] = {}
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set_to_chain.append(chains)
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|
||
for event_id in state_set:
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chain_id, seq_no = chain_info[event_id]
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chains[chain_id] = max(seq_no, chains.get(chain_id, 0))
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|
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# Now we look up all links for the chains we have, adding chains to
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||
# set_to_chain that are reachable from each set.
|
||
sql = """
|
||
SELECT
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||
origin_chain_id, origin_sequence_number,
|
||
target_chain_id, target_sequence_number
|
||
FROM event_auth_chain_links
|
||
WHERE %s
|
||
"""
|
||
|
||
# (We need to take a copy of `seen_chains` as we want to mutate it in
|
||
# the loop)
|
||
for batch2 in batch_iter(set(seen_chains), 1000):
|
||
clause, args = make_in_list_sql_clause(
|
||
txn.database_engine, "origin_chain_id", batch2
|
||
)
|
||
txn.execute(sql % (clause,), args)
|
||
|
||
for (
|
||
origin_chain_id,
|
||
origin_sequence_number,
|
||
target_chain_id,
|
||
target_sequence_number,
|
||
) in txn:
|
||
for chains in set_to_chain:
|
||
# chains are only reachable if the origin sequence number of
|
||
# the link is less than the max sequence number in the
|
||
# origin chain.
|
||
if origin_sequence_number <= chains.get(origin_chain_id, 0):
|
||
chains[target_chain_id] = max(
|
||
target_sequence_number,
|
||
chains.get(target_chain_id, 0),
|
||
)
|
||
|
||
seen_chains.add(target_chain_id)
|
||
|
||
# Now for each chain we figure out the maximum sequence number reachable
|
||
# from *any* state set and the minimum sequence number reachable from
|
||
# *all* state sets. Events in that range are in the auth chain
|
||
# difference.
|
||
result = set()
|
||
|
||
# Mapping from chain ID to the range of sequence numbers that should be
|
||
# pulled from the database.
|
||
chain_to_gap: Dict[int, Tuple[int, int]] = {}
|
||
|
||
for chain_id in seen_chains:
|
||
min_seq_no = min(chains.get(chain_id, 0) for chains in set_to_chain)
|
||
max_seq_no = max(chains.get(chain_id, 0) for chains in set_to_chain)
|
||
|
||
if min_seq_no < max_seq_no:
|
||
# We have a non empty gap, try and fill it from the events that
|
||
# we have, otherwise add them to the list of gaps to pull out
|
||
# from the DB.
|
||
for seq_no in range(min_seq_no + 1, max_seq_no + 1):
|
||
event_id = chain_to_event.get(chain_id, {}).get(seq_no)
|
||
if event_id:
|
||
result.add(event_id)
|
||
else:
|
||
chain_to_gap[chain_id] = (min_seq_no, max_seq_no)
|
||
break
|
||
|
||
if not chain_to_gap:
|
||
# If there are no gaps to fetch, we're done!
|
||
return result
|
||
|
||
if isinstance(self.database_engine, PostgresEngine):
|
||
# We can use `execute_values` to efficiently fetch the gaps when
|
||
# using postgres.
|
||
sql = """
|
||
SELECT event_id
|
||
FROM event_auth_chains AS c, (VALUES ?) AS l(chain_id, min_seq, max_seq)
|
||
WHERE
|
||
c.chain_id = l.chain_id
|
||
AND min_seq < sequence_number AND sequence_number <= max_seq
|
||
"""
|
||
|
||
args = [
|
||
(chain_id, min_no, max_no)
|
||
for chain_id, (min_no, max_no) in chain_to_gap.items()
|
||
]
|
||
|
||
rows = txn.execute_values(sql, args)
|
||
result.update(r for r, in rows)
|
||
else:
|
||
# For SQLite we just fall back to doing a noddy for loop.
|
||
sql = """
|
||
SELECT event_id FROM event_auth_chains
|
||
WHERE chain_id = ? AND ? < sequence_number AND sequence_number <= ?
|
||
"""
|
||
for chain_id, (min_no, max_no) in chain_to_gap.items():
|
||
txn.execute(sql, (chain_id, min_no, max_no))
|
||
result.update(r for r, in txn)
|
||
|
||
return result
|
||
|
||
def _get_auth_chain_difference_txn(
|
||
self, txn: LoggingTransaction, state_sets: List[Set[str]]
|
||
) -> Set[str]:
|
||
"""Calculates the auth chain difference using a breadth first search.
|
||
|
||
This is used when we don't have a cover index for the room.
|
||
"""
|
||
|
||
# Algorithm Description
|
||
# ~~~~~~~~~~~~~~~~~~~~~
|
||
#
|
||
# The idea here is to basically walk the auth graph of each state set in
|
||
# tandem, keeping track of which auth events are reachable by each state
|
||
# set. If we reach an auth event we've already visited (via a different
|
||
# state set) then we mark that auth event and all ancestors as reachable
|
||
# by the state set. This requires that we keep track of the auth chains
|
||
# in memory.
|
||
#
|
||
# Doing it in a such a way means that we can stop early if all auth
|
||
# events we're currently walking are reachable by all state sets.
|
||
#
|
||
# *Note*: We can't stop walking an event's auth chain if it is reachable
|
||
# by all state sets. This is because other auth chains we're walking
|
||
# might be reachable only via the original auth chain. For example,
|
||
# given the following auth chain:
|
||
#
|
||
# A -> C -> D -> E
|
||
# / /
|
||
# B -´---------´
|
||
#
|
||
# and state sets {A} and {B} then walking the auth chains of A and B
|
||
# would immediately show that C is reachable by both. However, if we
|
||
# stopped at C then we'd only reach E via the auth chain of B and so E
|
||
# would erroneously get included in the returned difference.
|
||
#
|
||
# The other thing that we do is limit the number of auth chains we walk
|
||
# at once, due to practical limits (i.e. we can only query the database
|
||
# with a limited set of parameters). We pick the auth chains we walk
|
||
# each iteration based on their depth, in the hope that events with a
|
||
# lower depth are likely reachable by those with higher depths.
|
||
#
|
||
# We could use any ordering that we believe would give a rough
|
||
# topological ordering, e.g. origin server timestamp. If the ordering
|
||
# chosen is not topological then the algorithm still produces the right
|
||
# result, but perhaps a bit more inefficiently. This is why it is safe
|
||
# to use "depth" here.
|
||
|
||
initial_events = set(state_sets[0]).union(*state_sets[1:])
|
||
|
||
# Dict from events in auth chains to which sets *cannot* reach them.
|
||
# I.e. if the set is empty then all sets can reach the event.
|
||
event_to_missing_sets = {
|
||
event_id: {i for i, a in enumerate(state_sets) if event_id not in a}
|
||
for event_id in initial_events
|
||
}
|
||
|
||
# The sorted list of events whose auth chains we should walk.
|
||
search: List[Tuple[int, str]] = []
|
||
|
||
# We need to get the depth of the initial events for sorting purposes.
|
||
sql = """
|
||
SELECT depth, event_id FROM events
|
||
WHERE %s
|
||
"""
|
||
# the list can be huge, so let's avoid looking them all up in one massive
|
||
# query.
|
||
for batch in batch_iter(initial_events, 1000):
|
||
clause, args = make_in_list_sql_clause(
|
||
txn.database_engine, "event_id", batch
|
||
)
|
||
txn.execute(sql % (clause,), args)
|
||
|
||
# I think building a temporary list with fetchall is more efficient than
|
||
# just `search.extend(txn)`, but this is unconfirmed
|
||
search.extend(cast(List[Tuple[int, str]], txn.fetchall()))
|
||
|
||
# sort by depth
|
||
search.sort()
|
||
|
||
# Map from event to its auth events
|
||
event_to_auth_events: Dict[str, Set[str]] = {}
|
||
|
||
base_sql = """
|
||
SELECT a.event_id, auth_id, depth
|
||
FROM event_auth AS a
|
||
INNER JOIN events AS e ON (e.event_id = a.auth_id)
|
||
WHERE
|
||
"""
|
||
|
||
while search:
|
||
# Check whether all our current walks are reachable by all state
|
||
# sets. If so we can bail.
|
||
if all(not event_to_missing_sets[eid] for _, eid in search):
|
||
break
|
||
|
||
# Fetch the auth events and their depths of the N last events we're
|
||
# currently walking, either from cache or DB.
|
||
search, chunk = search[:-100], search[-100:]
|
||
|
||
found: List[Tuple[str, str, int]] = [] # Results found
|
||
to_fetch: List[str] = [] # Event IDs to fetch from DB
|
||
for _, event_id in chunk:
|
||
res = self._event_auth_cache.get(event_id)
|
||
if res is None:
|
||
to_fetch.append(event_id)
|
||
else:
|
||
found.extend((event_id, auth_id, depth) for auth_id, depth in res)
|
||
|
||
if to_fetch:
|
||
clause, args = make_in_list_sql_clause(
|
||
txn.database_engine, "a.event_id", to_fetch
|
||
)
|
||
txn.execute(base_sql + clause, args)
|
||
|
||
# We parse the results and add the to the `found` set and the
|
||
# cache (note we need to batch up the results by event ID before
|
||
# adding to the cache).
|
||
to_cache: Dict[str, List[Tuple[str, int]]] = {}
|
||
for event_id, auth_event_id, auth_event_depth in txn:
|
||
to_cache.setdefault(event_id, []).append(
|
||
(auth_event_id, auth_event_depth)
|
||
)
|
||
found.append((event_id, auth_event_id, auth_event_depth))
|
||
|
||
for event_id, auth_events in to_cache.items():
|
||
self._event_auth_cache.set(event_id, auth_events)
|
||
|
||
for event_id, auth_event_id, auth_event_depth in found:
|
||
event_to_auth_events.setdefault(event_id, set()).add(auth_event_id)
|
||
|
||
sets = event_to_missing_sets.get(auth_event_id)
|
||
if sets is None:
|
||
# First time we're seeing this event, so we add it to the
|
||
# queue of things to fetch.
|
||
search.append((auth_event_depth, auth_event_id))
|
||
|
||
# Assume that this event is unreachable from any of the
|
||
# state sets until proven otherwise
|
||
sets = event_to_missing_sets[auth_event_id] = set(
|
||
range(len(state_sets))
|
||
)
|
||
else:
|
||
# We've previously seen this event, so look up its auth
|
||
# events and recursively mark all ancestors as reachable
|
||
# by the current event's state set.
|
||
a_ids = event_to_auth_events.get(auth_event_id)
|
||
while a_ids:
|
||
new_aids = set()
|
||
for a_id in a_ids:
|
||
event_to_missing_sets[a_id].intersection_update(
|
||
event_to_missing_sets[event_id]
|
||
)
|
||
|
||
b = event_to_auth_events.get(a_id)
|
||
if b:
|
||
new_aids.update(b)
|
||
|
||
a_ids = new_aids
|
||
|
||
# Mark that the auth event is reachable by the appropriate sets.
|
||
sets.intersection_update(event_to_missing_sets[event_id])
|
||
|
||
search.sort()
|
||
|
||
# Return all events where not all sets can reach them.
|
||
return {eid for eid, n in event_to_missing_sets.items() if n}
|
||
|
||
@trace
|
||
@tag_args
|
||
async def get_backfill_points_in_room(
|
||
self,
|
||
room_id: str,
|
||
current_depth: int,
|
||
limit: int,
|
||
) -> List[Tuple[str, int]]:
|
||
"""
|
||
Get the backward extremities to backfill from in the room along with the
|
||
approximate depth.
|
||
|
||
Only returns events that are at a depth lower than or
|
||
equal to the `current_depth`. Sorted by depth, highest to lowest (descending)
|
||
so the closest events to the `current_depth` are first in the list.
|
||
|
||
We ignore extremities that are newer than the user's current scroll position
|
||
(ie, those with depth greater than `current_depth`) as:
|
||
1. we don't really care about getting events that have happened
|
||
after our current position; and
|
||
2. by the nature of paginating and scrolling back, we have likely
|
||
previously tried and failed to backfill from that extremity, so
|
||
to avoid getting "stuck" requesting the same backfill repeatedly
|
||
we drop those extremities.
|
||
|
||
Args:
|
||
room_id: Room where we want to find the oldest events
|
||
current_depth: The depth at the user's current scrollback position
|
||
limit: The max number of backfill points to return
|
||
|
||
Returns:
|
||
List of (event_id, depth) tuples. Sorted by depth, highest to lowest
|
||
(descending) so the closest events to the `current_depth` are first
|
||
in the list.
|
||
"""
|
||
|
||
def get_backfill_points_in_room_txn(
|
||
txn: LoggingTransaction, room_id: str
|
||
) -> List[Tuple[str, int]]:
|
||
# Assemble a tuple lookup of event_id -> depth for the oldest events
|
||
# we know of in the room. Backwards extremeties are the oldest
|
||
# events we know of in the room but we only know of them because
|
||
# some other event referenced them by prev_event and aren't
|
||
# persisted in our database yet (meaning we don't know their depth
|
||
# specifically). So we need to look for the approximate depth from
|
||
# the events connected to the current backwards extremeties.
|
||
|
||
if isinstance(self.database_engine, PostgresEngine):
|
||
least_function = "LEAST"
|
||
elif isinstance(self.database_engine, Sqlite3Engine):
|
||
least_function = "MIN"
|
||
else:
|
||
raise RuntimeError("Unknown database engine")
|
||
|
||
sql = f"""
|
||
SELECT backward_extrem.event_id, event.depth FROM events AS event
|
||
/**
|
||
* Get the edge connections from the event_edges table
|
||
* so we can see whether this event's prev_events points
|
||
* to a backward extremity in the next join.
|
||
*/
|
||
INNER JOIN event_edges AS edge
|
||
ON edge.event_id = event.event_id
|
||
/**
|
||
* We find the "oldest" events in the room by looking for
|
||
* events connected to backwards extremeties (oldest events
|
||
* in the room that we know of so far).
|
||
*/
|
||
INNER JOIN event_backward_extremities AS backward_extrem
|
||
ON edge.prev_event_id = backward_extrem.event_id
|
||
/**
|
||
* We use this info to make sure we don't retry to use a backfill point
|
||
* if we've already attempted to backfill from it recently.
|
||
*/
|
||
LEFT JOIN event_failed_pull_attempts AS failed_backfill_attempt_info
|
||
ON
|
||
failed_backfill_attempt_info.room_id = backward_extrem.room_id
|
||
AND failed_backfill_attempt_info.event_id = backward_extrem.event_id
|
||
WHERE
|
||
backward_extrem.room_id = ?
|
||
/* We only care about non-state edges because we used to use
|
||
* `event_edges` for two different sorts of "edges" (the current
|
||
* event DAG, but also a link to the previous state, for state
|
||
* events). These legacy state event edges can be distinguished by
|
||
* `is_state` and are removed from the codebase and schema but
|
||
* because the schema change is in a background update, it's not
|
||
* necessarily safe to assume that it will have been completed.
|
||
*/
|
||
AND edge.is_state is ? /* False */
|
||
/**
|
||
* We only want backwards extremities that are older than or at
|
||
* the same position of the given `current_depth` (where older
|
||
* means less than the given depth) because we're looking backwards
|
||
* from the `current_depth` when backfilling.
|
||
*
|
||
* current_depth (ignore events that come after this, ignore 2-4)
|
||
* |
|
||
* ▼
|
||
* <oldest-in-time> [0]<--[1]<--[2]<--[3]<--[4] <newest-in-time>
|
||
*/
|
||
AND event.depth <= ? /* current_depth */
|
||
/**
|
||
* Exponential back-off (up to the upper bound) so we don't retry the
|
||
* same backfill point over and over. ex. 2hr, 4hr, 8hr, 16hr, etc.
|
||
*
|
||
* We use `1 << n` as a power of 2 equivalent for compatibility
|
||
* with older SQLites. The left shift equivalent only works with
|
||
* powers of 2 because left shift is a binary operation (base-2).
|
||
* Otherwise, we would use `power(2, n)` or the power operator, `2^n`.
|
||
*/
|
||
AND (
|
||
failed_backfill_attempt_info.event_id IS NULL
|
||
OR ? /* current_time */ >= failed_backfill_attempt_info.last_attempt_ts + (
|
||
(1 << {least_function}(failed_backfill_attempt_info.num_attempts, ? /* max doubling steps */))
|
||
* ? /* step */
|
||
)
|
||
)
|
||
/**
|
||
* Sort from highest (closest to the `current_depth`) to the lowest depth
|
||
* because the closest are most relevant to backfill from first.
|
||
* Then tie-break on alphabetical order of the event_ids so we get a
|
||
* consistent ordering which is nice when asserting things in tests.
|
||
*/
|
||
ORDER BY event.depth DESC, backward_extrem.event_id DESC
|
||
LIMIT ?
|
||
"""
|
||
|
||
txn.execute(
|
||
sql,
|
||
(
|
||
room_id,
|
||
False,
|
||
current_depth,
|
||
self._clock.time_msec(),
|
||
BACKFILL_EVENT_EXPONENTIAL_BACKOFF_MAXIMUM_DOUBLING_STEPS,
|
||
BACKFILL_EVENT_EXPONENTIAL_BACKOFF_STEP_MILLISECONDS,
|
||
limit,
|
||
),
|
||
)
|
||
|
||
return cast(List[Tuple[str, int]], txn.fetchall())
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_backfill_points_in_room",
|
||
get_backfill_points_in_room_txn,
|
||
room_id,
|
||
)
|
||
|
||
@trace
|
||
async def get_insertion_event_backward_extremities_in_room(
|
||
self,
|
||
room_id: str,
|
||
current_depth: int,
|
||
limit: int,
|
||
) -> List[Tuple[str, int]]:
|
||
"""
|
||
Get the insertion events we know about that we haven't backfilled yet
|
||
along with the approximate depth. Only returns insertion events that are
|
||
at a depth lower than or equal to the `current_depth`. Sorted by depth,
|
||
highest to lowest (descending) so the closest events to the
|
||
`current_depth` are first in the list.
|
||
|
||
We ignore insertion events that are newer than the user's current scroll
|
||
position (ie, those with depth greater than `current_depth`) as:
|
||
1. we don't really care about getting events that have happened
|
||
after our current position; and
|
||
2. by the nature of paginating and scrolling back, we have likely
|
||
previously tried and failed to backfill from that insertion event, so
|
||
to avoid getting "stuck" requesting the same backfill repeatedly
|
||
we drop those insertion event.
|
||
|
||
Args:
|
||
room_id: Room where we want to find the oldest events
|
||
current_depth: The depth at the user's current scrollback position
|
||
limit: The max number of insertion event extremities to return
|
||
|
||
Returns:
|
||
List of (event_id, depth) tuples. Sorted by depth, highest to lowest
|
||
(descending) so the closest events to the `current_depth` are first
|
||
in the list.
|
||
"""
|
||
|
||
def get_insertion_event_backward_extremities_in_room_txn(
|
||
txn: LoggingTransaction, room_id: str
|
||
) -> List[Tuple[str, int]]:
|
||
if isinstance(self.database_engine, PostgresEngine):
|
||
least_function = "LEAST"
|
||
elif isinstance(self.database_engine, Sqlite3Engine):
|
||
least_function = "MIN"
|
||
else:
|
||
raise RuntimeError("Unknown database engine")
|
||
|
||
sql = f"""
|
||
SELECT
|
||
insertion_event_extremity.event_id, event.depth
|
||
/* We only want insertion events that are also marked as backwards extremities */
|
||
FROM insertion_event_extremities AS insertion_event_extremity
|
||
/* Get the depth of the insertion event from the events table */
|
||
INNER JOIN events AS event USING (event_id)
|
||
/**
|
||
* We use this info to make sure we don't retry to use a backfill point
|
||
* if we've already attempted to backfill from it recently.
|
||
*/
|
||
LEFT JOIN event_failed_pull_attempts AS failed_backfill_attempt_info
|
||
ON
|
||
failed_backfill_attempt_info.room_id = insertion_event_extremity.room_id
|
||
AND failed_backfill_attempt_info.event_id = insertion_event_extremity.event_id
|
||
WHERE
|
||
insertion_event_extremity.room_id = ?
|
||
/**
|
||
* We only want extremities that are older than or at
|
||
* the same position of the given `current_depth` (where older
|
||
* means less than the given depth) because we're looking backwards
|
||
* from the `current_depth` when backfilling.
|
||
*
|
||
* current_depth (ignore events that come after this, ignore 2-4)
|
||
* |
|
||
* ▼
|
||
* <oldest-in-time> [0]<--[1]<--[2]<--[3]<--[4] <newest-in-time>
|
||
*/
|
||
AND event.depth <= ? /* current_depth */
|
||
/**
|
||
* Exponential back-off (up to the upper bound) so we don't retry the
|
||
* same backfill point over and over. ex. 2hr, 4hr, 8hr, 16hr, etc
|
||
*
|
||
* We use `1 << n` as a power of 2 equivalent for compatibility
|
||
* with older SQLites. The left shift equivalent only works with
|
||
* powers of 2 because left shift is a binary operation (base-2).
|
||
* Otherwise, we would use `power(2, n)` or the power operator, `2^n`.
|
||
*/
|
||
AND (
|
||
failed_backfill_attempt_info.event_id IS NULL
|
||
OR ? /* current_time */ >= failed_backfill_attempt_info.last_attempt_ts + (
|
||
(1 << {least_function}(failed_backfill_attempt_info.num_attempts, ? /* max doubling steps */))
|
||
* ? /* step */
|
||
)
|
||
)
|
||
/**
|
||
* Sort from highest (closest to the `current_depth`) to the lowest depth
|
||
* because the closest are most relevant to backfill from first.
|
||
* Then tie-break on alphabetical order of the event_ids so we get a
|
||
* consistent ordering which is nice when asserting things in tests.
|
||
*/
|
||
ORDER BY event.depth DESC, insertion_event_extremity.event_id DESC
|
||
LIMIT ?
|
||
"""
|
||
|
||
txn.execute(
|
||
sql,
|
||
(
|
||
room_id,
|
||
current_depth,
|
||
self._clock.time_msec(),
|
||
BACKFILL_EVENT_EXPONENTIAL_BACKOFF_MAXIMUM_DOUBLING_STEPS,
|
||
BACKFILL_EVENT_EXPONENTIAL_BACKOFF_STEP_MILLISECONDS,
|
||
limit,
|
||
),
|
||
)
|
||
return cast(List[Tuple[str, int]], txn.fetchall())
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_insertion_event_backward_extremities_in_room",
|
||
get_insertion_event_backward_extremities_in_room_txn,
|
||
room_id,
|
||
)
|
||
|
||
async def get_max_depth_of(self, event_ids: List[str]) -> Tuple[Optional[str], int]:
|
||
"""Returns the event ID and depth for the event that has the max depth from a set of event IDs
|
||
|
||
Args:
|
||
event_ids: The event IDs to calculate the max depth of.
|
||
"""
|
||
rows = await self.db_pool.simple_select_many_batch(
|
||
table="events",
|
||
column="event_id",
|
||
iterable=event_ids,
|
||
retcols=(
|
||
"event_id",
|
||
"depth",
|
||
),
|
||
desc="get_max_depth_of",
|
||
)
|
||
|
||
if not rows:
|
||
return None, 0
|
||
else:
|
||
max_depth_event_id = ""
|
||
current_max_depth = 0
|
||
for row in rows:
|
||
if row["depth"] > current_max_depth:
|
||
max_depth_event_id = row["event_id"]
|
||
current_max_depth = row["depth"]
|
||
|
||
return max_depth_event_id, current_max_depth
|
||
|
||
async def get_min_depth_of(self, event_ids: List[str]) -> Tuple[Optional[str], int]:
|
||
"""Returns the event ID and depth for the event that has the min depth from a set of event IDs
|
||
|
||
Args:
|
||
event_ids: The event IDs to calculate the max depth of.
|
||
"""
|
||
rows = await self.db_pool.simple_select_many_batch(
|
||
table="events",
|
||
column="event_id",
|
||
iterable=event_ids,
|
||
retcols=(
|
||
"event_id",
|
||
"depth",
|
||
),
|
||
desc="get_min_depth_of",
|
||
)
|
||
|
||
if not rows:
|
||
return None, 0
|
||
else:
|
||
min_depth_event_id = ""
|
||
current_min_depth = MAX_DEPTH
|
||
for row in rows:
|
||
if row["depth"] < current_min_depth:
|
||
min_depth_event_id = row["event_id"]
|
||
current_min_depth = row["depth"]
|
||
|
||
return min_depth_event_id, current_min_depth
|
||
|
||
async def get_prev_events_for_room(self, room_id: str) -> List[str]:
|
||
"""
|
||
Gets a subset of the current forward extremities in the given room.
|
||
|
||
Limits the result to 10 extremities, so that we can avoid creating
|
||
events which refer to hundreds of prev_events.
|
||
|
||
Args:
|
||
room_id: room_id
|
||
|
||
Returns:
|
||
The event ids of the forward extremities.
|
||
|
||
"""
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_prev_events_for_room", self._get_prev_events_for_room_txn, room_id
|
||
)
|
||
|
||
def _get_prev_events_for_room_txn(
|
||
self, txn: LoggingTransaction, room_id: str
|
||
) -> List[str]:
|
||
# we just use the 10 newest events. Older events will become
|
||
# prev_events of future events.
|
||
|
||
sql = """
|
||
SELECT e.event_id FROM event_forward_extremities AS f
|
||
INNER JOIN events AS e USING (event_id)
|
||
WHERE f.room_id = ?
|
||
ORDER BY e.depth DESC
|
||
LIMIT 10
|
||
"""
|
||
|
||
txn.execute(sql, (room_id,))
|
||
|
||
return [row[0] for row in txn]
|
||
|
||
async def get_rooms_with_many_extremities(
|
||
self, min_count: int, limit: int, room_id_filter: Iterable[str]
|
||
) -> List[str]:
|
||
"""Get the top rooms with at least N extremities.
|
||
|
||
Args:
|
||
min_count: The minimum number of extremities
|
||
limit: The maximum number of rooms to return.
|
||
room_id_filter: room_ids to exclude from the results
|
||
|
||
Returns:
|
||
At most `limit` room IDs that have at least `min_count` extremities,
|
||
sorted by extremity count.
|
||
"""
|
||
|
||
def _get_rooms_with_many_extremities_txn(txn: LoggingTransaction) -> List[str]:
|
||
where_clause = "1=1"
|
||
if room_id_filter:
|
||
where_clause = "room_id NOT IN (%s)" % (
|
||
",".join("?" for _ in room_id_filter),
|
||
)
|
||
|
||
sql = """
|
||
SELECT room_id FROM event_forward_extremities
|
||
WHERE %s
|
||
GROUP BY room_id
|
||
HAVING count(*) > ?
|
||
ORDER BY count(*) DESC
|
||
LIMIT ?
|
||
""" % (
|
||
where_clause,
|
||
)
|
||
|
||
query_args = list(itertools.chain(room_id_filter, [min_count, limit]))
|
||
txn.execute(sql, query_args)
|
||
return [room_id for room_id, in txn]
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_rooms_with_many_extremities", _get_rooms_with_many_extremities_txn
|
||
)
|
||
|
||
@cached(max_entries=5000, iterable=True)
|
||
async def get_latest_event_ids_in_room(self, room_id: str) -> List[str]:
|
||
return await self.db_pool.simple_select_onecol(
|
||
table="event_forward_extremities",
|
||
keyvalues={"room_id": room_id},
|
||
retcol="event_id",
|
||
desc="get_latest_event_ids_in_room",
|
||
)
|
||
|
||
async def get_min_depth(self, room_id: str) -> Optional[int]:
|
||
"""For the given room, get the minimum depth we have seen for it."""
|
||
return await self.db_pool.runInteraction(
|
||
"get_min_depth", self._get_min_depth_interaction, room_id
|
||
)
|
||
|
||
def _get_min_depth_interaction(
|
||
self, txn: LoggingTransaction, room_id: str
|
||
) -> Optional[int]:
|
||
min_depth = self.db_pool.simple_select_one_onecol_txn(
|
||
txn,
|
||
table="room_depth",
|
||
keyvalues={"room_id": room_id},
|
||
retcol="min_depth",
|
||
allow_none=True,
|
||
)
|
||
|
||
return int(min_depth) if min_depth is not None else None
|
||
|
||
@cancellable
|
||
async def get_forward_extremities_for_room_at_stream_ordering(
|
||
self, room_id: str, stream_ordering: int
|
||
) -> List[str]:
|
||
"""For a given room_id and stream_ordering, return the forward
|
||
extremeties of the room at that point in "time".
|
||
|
||
Throws a StoreError if we have since purged the index for
|
||
stream_orderings from that point.
|
||
|
||
Args:
|
||
room_id:
|
||
stream_ordering:
|
||
|
||
Returns:
|
||
A list of event_ids
|
||
"""
|
||
# We want to make the cache more effective, so we clamp to the last
|
||
# change before the given ordering.
|
||
last_change = self._events_stream_cache.get_max_pos_of_last_change(room_id) # type: ignore[attr-defined]
|
||
|
||
# We don't always have a full stream_to_exterm_id table, e.g. after
|
||
# the upgrade that introduced it, so we make sure we never ask for a
|
||
# stream_ordering from before a restart
|
||
last_change = max(self._stream_order_on_start, last_change) # type: ignore[attr-defined]
|
||
|
||
# provided the last_change is recent enough, we now clamp the requested
|
||
# stream_ordering to it.
|
||
if last_change > self.stream_ordering_month_ago: # type: ignore[attr-defined]
|
||
stream_ordering = min(last_change, stream_ordering)
|
||
|
||
return await self._get_forward_extremeties_for_room(room_id, stream_ordering)
|
||
|
||
@cached(max_entries=5000, num_args=2)
|
||
async def _get_forward_extremeties_for_room(
|
||
self, room_id: str, stream_ordering: int
|
||
) -> List[str]:
|
||
"""For a given room_id and stream_ordering, return the forward
|
||
extremeties of the room at that point in "time".
|
||
|
||
Throws a StoreError if we have since purged the index for
|
||
stream_orderings from that point.
|
||
"""
|
||
|
||
if stream_ordering <= self.stream_ordering_month_ago: # type: ignore[attr-defined]
|
||
raise StoreError(400, "stream_ordering too old %s" % (stream_ordering,))
|
||
|
||
sql = """
|
||
SELECT event_id FROM stream_ordering_to_exterm
|
||
INNER JOIN (
|
||
SELECT room_id, MAX(stream_ordering) AS stream_ordering
|
||
FROM stream_ordering_to_exterm
|
||
WHERE stream_ordering <= ? GROUP BY room_id
|
||
) AS rms USING (room_id, stream_ordering)
|
||
WHERE room_id = ?
|
||
"""
|
||
|
||
def get_forward_extremeties_for_room_txn(txn: LoggingTransaction) -> List[str]:
|
||
txn.execute(sql, (stream_ordering, room_id))
|
||
return [event_id for event_id, in txn]
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_forward_extremeties_for_room", get_forward_extremeties_for_room_txn
|
||
)
|
||
|
||
def _get_connected_batch_event_backfill_results_txn(
|
||
self, txn: LoggingTransaction, insertion_event_id: str, limit: int
|
||
) -> List[BackfillQueueNavigationItem]:
|
||
"""
|
||
Find any batch connections of a given insertion event.
|
||
A batch event points at a insertion event via:
|
||
batch_event.content[MSC2716_BATCH_ID] -> insertion_event.content[MSC2716_NEXT_BATCH_ID]
|
||
|
||
Args:
|
||
txn: The database transaction to use
|
||
insertion_event_id: The event ID to navigate from. We will find
|
||
batch events that point back at this insertion event.
|
||
limit: Max number of event ID's to query for and return
|
||
|
||
Returns:
|
||
List of batch events that the backfill queue can process
|
||
"""
|
||
batch_connection_query = """
|
||
SELECT e.depth, e.stream_ordering, c.event_id, e.type FROM insertion_events AS i
|
||
/* Find the batch that connects to the given insertion event */
|
||
INNER JOIN batch_events AS c
|
||
ON i.next_batch_id = c.batch_id
|
||
/* Get the depth of the batch start event from the events table */
|
||
INNER JOIN events AS e ON c.event_id = e.event_id
|
||
/* Find an insertion event which matches the given event_id */
|
||
WHERE i.event_id = ?
|
||
LIMIT ?
|
||
"""
|
||
|
||
# Find any batch connections for the given insertion event
|
||
txn.execute(
|
||
batch_connection_query,
|
||
(insertion_event_id, limit),
|
||
)
|
||
return [
|
||
BackfillQueueNavigationItem(
|
||
depth=row[0],
|
||
stream_ordering=row[1],
|
||
event_id=row[2],
|
||
type=row[3],
|
||
)
|
||
for row in txn
|
||
]
|
||
|
||
def _get_connected_prev_event_backfill_results_txn(
|
||
self, txn: LoggingTransaction, event_id: str, limit: int
|
||
) -> List[BackfillQueueNavigationItem]:
|
||
"""
|
||
Find any events connected by prev_event the specified event_id.
|
||
|
||
Args:
|
||
txn: The database transaction to use
|
||
event_id: The event ID to navigate from
|
||
limit: Max number of event ID's to query for and return
|
||
|
||
Returns:
|
||
List of prev events that the backfill queue can process
|
||
"""
|
||
# Look for the prev_event_id connected to the given event_id
|
||
connected_prev_event_query = """
|
||
SELECT depth, stream_ordering, prev_event_id, events.type FROM event_edges
|
||
/* Get the depth and stream_ordering of the prev_event_id from the events table */
|
||
INNER JOIN events
|
||
ON prev_event_id = events.event_id
|
||
|
||
/* exclude outliers from the results (we don't have the state, so cannot
|
||
* verify if the requesting server can see them).
|
||
*/
|
||
WHERE NOT events.outlier
|
||
|
||
/* Look for an edge which matches the given event_id */
|
||
AND event_edges.event_id = ? AND NOT event_edges.is_state
|
||
|
||
/* Because we can have many events at the same depth,
|
||
* we want to also tie-break and sort on stream_ordering */
|
||
ORDER BY depth DESC, stream_ordering DESC
|
||
LIMIT ?
|
||
"""
|
||
|
||
txn.execute(
|
||
connected_prev_event_query,
|
||
(event_id, limit),
|
||
)
|
||
return [
|
||
BackfillQueueNavigationItem(
|
||
depth=row[0],
|
||
stream_ordering=row[1],
|
||
event_id=row[2],
|
||
type=row[3],
|
||
)
|
||
for row in txn
|
||
]
|
||
|
||
async def get_backfill_events(
|
||
self, room_id: str, seed_event_id_list: List[str], limit: int
|
||
) -> List[EventBase]:
|
||
"""Get a list of Events for a given topic that occurred before (and
|
||
including) the events in seed_event_id_list. Return a list of max size `limit`
|
||
|
||
Args:
|
||
room_id
|
||
seed_event_id_list
|
||
limit
|
||
"""
|
||
event_ids = await self.db_pool.runInteraction(
|
||
"get_backfill_events",
|
||
self._get_backfill_events,
|
||
room_id,
|
||
seed_event_id_list,
|
||
limit,
|
||
)
|
||
events = await self.get_events_as_list(event_ids)
|
||
return sorted(
|
||
# type-ignore: mypy doesn't like negating the Optional[int] stream_ordering.
|
||
# But it's never None, because these events were previously persisted to the DB.
|
||
events,
|
||
key=lambda e: (-e.depth, -e.internal_metadata.stream_ordering), # type: ignore[operator]
|
||
)
|
||
|
||
def _get_backfill_events(
|
||
self,
|
||
txn: LoggingTransaction,
|
||
room_id: str,
|
||
seed_event_id_list: List[str],
|
||
limit: int,
|
||
) -> Set[str]:
|
||
"""
|
||
We want to make sure that we do a breadth-first, "depth" ordered search.
|
||
We also handle navigating historical branches of history connected by
|
||
insertion and batch events.
|
||
"""
|
||
logger.debug(
|
||
"_get_backfill_events(room_id=%s): seeding backfill with seed_event_id_list=%s limit=%s",
|
||
room_id,
|
||
seed_event_id_list,
|
||
limit,
|
||
)
|
||
|
||
event_id_results: Set[str] = set()
|
||
|
||
# In a PriorityQueue, the lowest valued entries are retrieved first.
|
||
# We're using depth as the priority in the queue and tie-break based on
|
||
# stream_ordering. Depth is lowest at the oldest-in-time message and
|
||
# highest and newest-in-time message. We add events to the queue with a
|
||
# negative depth so that we process the newest-in-time messages first
|
||
# going backwards in time. stream_ordering follows the same pattern.
|
||
queue: "PriorityQueue[Tuple[int, int, str, str]]" = PriorityQueue()
|
||
|
||
for seed_event_id in seed_event_id_list:
|
||
event_lookup_result = self.db_pool.simple_select_one_txn(
|
||
txn,
|
||
table="events",
|
||
keyvalues={"event_id": seed_event_id, "room_id": room_id},
|
||
retcols=(
|
||
"type",
|
||
"depth",
|
||
"stream_ordering",
|
||
),
|
||
allow_none=True,
|
||
)
|
||
|
||
if event_lookup_result is not None:
|
||
logger.debug(
|
||
"_get_backfill_events(room_id=%s): seed_event_id=%s depth=%s stream_ordering=%s type=%s",
|
||
room_id,
|
||
seed_event_id,
|
||
event_lookup_result["depth"],
|
||
event_lookup_result["stream_ordering"],
|
||
event_lookup_result["type"],
|
||
)
|
||
|
||
if event_lookup_result["depth"]:
|
||
queue.put(
|
||
(
|
||
-event_lookup_result["depth"],
|
||
-event_lookup_result["stream_ordering"],
|
||
seed_event_id,
|
||
event_lookup_result["type"],
|
||
)
|
||
)
|
||
|
||
while not queue.empty() and len(event_id_results) < limit:
|
||
try:
|
||
_, _, event_id, event_type = queue.get_nowait()
|
||
except Empty:
|
||
break
|
||
|
||
if event_id in event_id_results:
|
||
continue
|
||
|
||
event_id_results.add(event_id)
|
||
|
||
# Try and find any potential historical batches of message history.
|
||
if self.hs.config.experimental.msc2716_enabled:
|
||
# We need to go and try to find any batch events connected
|
||
# to a given insertion event (by batch_id). If we find any, we'll
|
||
# add them to the queue and navigate up the DAG like normal in the
|
||
# next iteration of the loop.
|
||
if event_type == EventTypes.MSC2716_INSERTION:
|
||
# Find any batch connections for the given insertion event
|
||
connected_batch_event_backfill_results = (
|
||
self._get_connected_batch_event_backfill_results_txn(
|
||
txn, event_id, limit - len(event_id_results)
|
||
)
|
||
)
|
||
logger.debug(
|
||
"_get_backfill_events(room_id=%s): connected_batch_event_backfill_results=%s",
|
||
room_id,
|
||
connected_batch_event_backfill_results,
|
||
)
|
||
for (
|
||
connected_batch_event_backfill_item
|
||
) in connected_batch_event_backfill_results:
|
||
if (
|
||
connected_batch_event_backfill_item.event_id
|
||
not in event_id_results
|
||
):
|
||
queue.put(
|
||
(
|
||
-connected_batch_event_backfill_item.depth,
|
||
-connected_batch_event_backfill_item.stream_ordering,
|
||
connected_batch_event_backfill_item.event_id,
|
||
connected_batch_event_backfill_item.type,
|
||
)
|
||
)
|
||
|
||
# Now we just look up the DAG by prev_events as normal
|
||
connected_prev_event_backfill_results = (
|
||
self._get_connected_prev_event_backfill_results_txn(
|
||
txn, event_id, limit - len(event_id_results)
|
||
)
|
||
)
|
||
logger.debug(
|
||
"_get_backfill_events(room_id=%s): connected_prev_event_backfill_results=%s",
|
||
room_id,
|
||
connected_prev_event_backfill_results,
|
||
)
|
||
for (
|
||
connected_prev_event_backfill_item
|
||
) in connected_prev_event_backfill_results:
|
||
if connected_prev_event_backfill_item.event_id not in event_id_results:
|
||
queue.put(
|
||
(
|
||
-connected_prev_event_backfill_item.depth,
|
||
-connected_prev_event_backfill_item.stream_ordering,
|
||
connected_prev_event_backfill_item.event_id,
|
||
connected_prev_event_backfill_item.type,
|
||
)
|
||
)
|
||
|
||
return event_id_results
|
||
|
||
@trace
|
||
async def record_event_failed_pull_attempt(
|
||
self, room_id: str, event_id: str, cause: str
|
||
) -> None:
|
||
"""
|
||
Record when we fail to pull an event over federation.
|
||
|
||
This information allows us to be more intelligent when we decide to
|
||
retry (we don't need to fail over and over) and we can process that
|
||
event in the background so we don't block on it each time.
|
||
|
||
Args:
|
||
room_id: The room where the event failed to pull from
|
||
event_id: The event that failed to be fetched or processed
|
||
cause: The error message or reason that we failed to pull the event
|
||
"""
|
||
await self.db_pool.runInteraction(
|
||
"record_event_failed_pull_attempt",
|
||
self._record_event_failed_pull_attempt_upsert_txn,
|
||
room_id,
|
||
event_id,
|
||
cause,
|
||
db_autocommit=True, # Safe as it's a single upsert
|
||
)
|
||
|
||
def _record_event_failed_pull_attempt_upsert_txn(
|
||
self,
|
||
txn: LoggingTransaction,
|
||
room_id: str,
|
||
event_id: str,
|
||
cause: str,
|
||
) -> None:
|
||
sql = """
|
||
INSERT INTO event_failed_pull_attempts (
|
||
room_id, event_id, num_attempts, last_attempt_ts, last_cause
|
||
)
|
||
VALUES (?, ?, ?, ?, ?)
|
||
ON CONFLICT (room_id, event_id) DO UPDATE SET
|
||
num_attempts=event_failed_pull_attempts.num_attempts + 1,
|
||
last_attempt_ts=EXCLUDED.last_attempt_ts,
|
||
last_cause=EXCLUDED.last_cause;
|
||
"""
|
||
|
||
txn.execute(sql, (room_id, event_id, 1, self._clock.time_msec(), cause))
|
||
|
||
async def get_missing_events(
|
||
self,
|
||
room_id: str,
|
||
earliest_events: List[str],
|
||
latest_events: List[str],
|
||
limit: int,
|
||
) -> List[EventBase]:
|
||
ids = await self.db_pool.runInteraction(
|
||
"get_missing_events",
|
||
self._get_missing_events,
|
||
room_id,
|
||
earliest_events,
|
||
latest_events,
|
||
limit,
|
||
)
|
||
return await self.get_events_as_list(ids)
|
||
|
||
def _get_missing_events(
|
||
self,
|
||
txn: LoggingTransaction,
|
||
room_id: str,
|
||
earliest_events: List[str],
|
||
latest_events: List[str],
|
||
limit: int,
|
||
) -> List[str]:
|
||
|
||
seen_events = set(earliest_events)
|
||
front = set(latest_events) - seen_events
|
||
event_results: List[str] = []
|
||
|
||
query = (
|
||
"SELECT prev_event_id FROM event_edges "
|
||
"WHERE event_id = ? AND NOT is_state "
|
||
"LIMIT ?"
|
||
)
|
||
|
||
while front and len(event_results) < limit:
|
||
new_front = set()
|
||
for event_id in front:
|
||
txn.execute(query, (event_id, limit - len(event_results)))
|
||
new_results = {t[0] for t in txn} - seen_events
|
||
|
||
new_front |= new_results
|
||
seen_events |= new_results
|
||
event_results.extend(new_results)
|
||
|
||
front = new_front
|
||
|
||
# we built the list working backwards from latest_events; we now need to
|
||
# reverse it so that the events are approximately chronological.
|
||
event_results.reverse()
|
||
return event_results
|
||
|
||
@trace
|
||
@tag_args
|
||
async def get_successor_events(self, event_id: str) -> List[str]:
|
||
"""Fetch all events that have the given event as a prev event
|
||
|
||
Args:
|
||
event_id: The event to search for as a prev_event.
|
||
"""
|
||
return await self.db_pool.simple_select_onecol(
|
||
table="event_edges",
|
||
keyvalues={"prev_event_id": event_id},
|
||
retcol="event_id",
|
||
desc="get_successor_events",
|
||
)
|
||
|
||
@wrap_as_background_process("delete_old_forward_extrem_cache")
|
||
async def _delete_old_forward_extrem_cache(self) -> None:
|
||
def _delete_old_forward_extrem_cache_txn(txn: LoggingTransaction) -> None:
|
||
# Delete entries older than a month, while making sure we don't delete
|
||
# the only entries for a room.
|
||
sql = """
|
||
DELETE FROM stream_ordering_to_exterm
|
||
WHERE
|
||
room_id IN (
|
||
SELECT room_id
|
||
FROM stream_ordering_to_exterm
|
||
WHERE stream_ordering > ?
|
||
) AND stream_ordering < ?
|
||
"""
|
||
txn.execute(
|
||
sql, (self.stream_ordering_month_ago, self.stream_ordering_month_ago) # type: ignore[attr-defined]
|
||
)
|
||
|
||
await self.db_pool.runInteraction(
|
||
"_delete_old_forward_extrem_cache",
|
||
_delete_old_forward_extrem_cache_txn,
|
||
)
|
||
|
||
@trace
|
||
async def insert_insertion_extremity(self, event_id: str, room_id: str) -> None:
|
||
await self.db_pool.simple_upsert(
|
||
table="insertion_event_extremities",
|
||
keyvalues={"event_id": event_id},
|
||
values={
|
||
"event_id": event_id,
|
||
"room_id": room_id,
|
||
},
|
||
insertion_values={},
|
||
desc="insert_insertion_extremity",
|
||
lock=False,
|
||
)
|
||
|
||
async def insert_received_event_to_staging(
|
||
self, origin: str, event: EventBase
|
||
) -> None:
|
||
"""Insert a newly received event from federation into the staging area."""
|
||
|
||
# We use an upsert here to handle the case where we see the same event
|
||
# from the same server multiple times.
|
||
await self.db_pool.simple_upsert(
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={
|
||
"origin": origin,
|
||
"event_id": event.event_id,
|
||
},
|
||
values={},
|
||
insertion_values={
|
||
"room_id": event.room_id,
|
||
"received_ts": self._clock.time_msec(),
|
||
"event_json": json_encoder.encode(event.get_dict()),
|
||
"internal_metadata": json_encoder.encode(
|
||
event.internal_metadata.get_dict()
|
||
),
|
||
},
|
||
desc="insert_received_event_to_staging",
|
||
)
|
||
|
||
async def remove_received_event_from_staging(
|
||
self,
|
||
origin: str,
|
||
event_id: str,
|
||
) -> Optional[int]:
|
||
"""Remove the given event from the staging area.
|
||
|
||
Returns:
|
||
The received_ts of the row that was deleted, if any.
|
||
"""
|
||
if self.db_pool.engine.supports_returning:
|
||
|
||
def _remove_received_event_from_staging_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Optional[int]:
|
||
sql = """
|
||
DELETE FROM federation_inbound_events_staging
|
||
WHERE origin = ? AND event_id = ?
|
||
RETURNING received_ts
|
||
"""
|
||
|
||
txn.execute(sql, (origin, event_id))
|
||
row = cast(Optional[Tuple[int]], txn.fetchone())
|
||
|
||
if row is None:
|
||
return None
|
||
|
||
return row[0]
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"remove_received_event_from_staging",
|
||
_remove_received_event_from_staging_txn,
|
||
db_autocommit=True,
|
||
)
|
||
|
||
else:
|
||
|
||
def _remove_received_event_from_staging_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Optional[int]:
|
||
received_ts = self.db_pool.simple_select_one_onecol_txn(
|
||
txn,
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={
|
||
"origin": origin,
|
||
"event_id": event_id,
|
||
},
|
||
retcol="received_ts",
|
||
allow_none=True,
|
||
)
|
||
self.db_pool.simple_delete_txn(
|
||
txn,
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={
|
||
"origin": origin,
|
||
"event_id": event_id,
|
||
},
|
||
)
|
||
|
||
return received_ts
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"remove_received_event_from_staging",
|
||
_remove_received_event_from_staging_txn,
|
||
)
|
||
|
||
async def get_next_staged_event_id_for_room(
|
||
self,
|
||
room_id: str,
|
||
) -> Optional[Tuple[str, str]]:
|
||
"""
|
||
Get the next event ID in the staging area for the given room.
|
||
|
||
Returns:
|
||
Tuple of the `origin` and `event_id`
|
||
"""
|
||
|
||
def _get_next_staged_event_id_for_room_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Optional[Tuple[str, str]]:
|
||
sql = """
|
||
SELECT origin, event_id
|
||
FROM federation_inbound_events_staging
|
||
WHERE room_id = ?
|
||
ORDER BY received_ts ASC
|
||
LIMIT 1
|
||
"""
|
||
|
||
txn.execute(sql, (room_id,))
|
||
|
||
return cast(Optional[Tuple[str, str]], txn.fetchone())
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_next_staged_event_id_for_room", _get_next_staged_event_id_for_room_txn
|
||
)
|
||
|
||
async def get_next_staged_event_for_room(
|
||
self,
|
||
room_id: str,
|
||
room_version: RoomVersion,
|
||
) -> Optional[Tuple[str, EventBase]]:
|
||
"""Get the next event in the staging area for the given room."""
|
||
|
||
def _get_next_staged_event_for_room_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Optional[Tuple[str, str, str]]:
|
||
sql = """
|
||
SELECT event_json, internal_metadata, origin
|
||
FROM federation_inbound_events_staging
|
||
WHERE room_id = ?
|
||
ORDER BY received_ts ASC
|
||
LIMIT 1
|
||
"""
|
||
txn.execute(sql, (room_id,))
|
||
|
||
return cast(Optional[Tuple[str, str, str]], txn.fetchone())
|
||
|
||
row = await self.db_pool.runInteraction(
|
||
"get_next_staged_event_for_room", _get_next_staged_event_for_room_txn
|
||
)
|
||
|
||
if not row:
|
||
return None
|
||
|
||
event_d = db_to_json(row[0])
|
||
internal_metadata_d = db_to_json(row[1])
|
||
origin = row[2]
|
||
|
||
event = make_event_from_dict(
|
||
event_dict=event_d,
|
||
room_version=room_version,
|
||
internal_metadata_dict=internal_metadata_d,
|
||
)
|
||
|
||
return origin, event
|
||
|
||
async def prune_staged_events_in_room(
|
||
self,
|
||
room_id: str,
|
||
room_version: RoomVersion,
|
||
) -> bool:
|
||
"""Checks if there are lots of staged events for the room, and if so
|
||
prune them down.
|
||
|
||
Returns:
|
||
Whether any events were pruned
|
||
"""
|
||
|
||
# First check the size of the queue.
|
||
count = await self.db_pool.simple_select_one_onecol(
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={"room_id": room_id},
|
||
retcol="COUNT(*)",
|
||
desc="prune_staged_events_in_room_count",
|
||
)
|
||
|
||
if count < 100:
|
||
return False
|
||
|
||
# If the queue is too large, then we want clear the entire queue,
|
||
# keeping only the forward extremities (i.e. the events not referenced
|
||
# by other events in the queue). We do this so that we can always
|
||
# backpaginate in all the events we have dropped.
|
||
rows = await self.db_pool.simple_select_list(
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={"room_id": room_id},
|
||
retcols=("event_id", "event_json"),
|
||
desc="prune_staged_events_in_room_fetch",
|
||
)
|
||
|
||
# Find the set of events referenced by those in the queue, as well as
|
||
# collecting all the event IDs in the queue.
|
||
referenced_events: Set[str] = set()
|
||
seen_events: Set[str] = set()
|
||
for row in rows:
|
||
event_id = row["event_id"]
|
||
seen_events.add(event_id)
|
||
event_d = db_to_json(row["event_json"])
|
||
|
||
# We don't bother parsing the dicts into full blown event objects,
|
||
# as that is needlessly expensive.
|
||
|
||
# We haven't checked that the `prev_events` have the right format
|
||
# yet, so we check as we go.
|
||
prev_events = event_d.get("prev_events", [])
|
||
if not isinstance(prev_events, list):
|
||
logger.info("Invalid prev_events for %s", event_id)
|
||
continue
|
||
|
||
if room_version.event_format == EventFormatVersions.ROOM_V1_V2:
|
||
for prev_event_tuple in prev_events:
|
||
if (
|
||
not isinstance(prev_event_tuple, list)
|
||
or len(prev_event_tuple) != 2
|
||
):
|
||
logger.info("Invalid prev_events for %s", event_id)
|
||
break
|
||
|
||
prev_event_id = prev_event_tuple[0]
|
||
if not isinstance(prev_event_id, str):
|
||
logger.info("Invalid prev_events for %s", event_id)
|
||
break
|
||
|
||
referenced_events.add(prev_event_id)
|
||
else:
|
||
for prev_event_id in prev_events:
|
||
if not isinstance(prev_event_id, str):
|
||
logger.info("Invalid prev_events for %s", event_id)
|
||
break
|
||
|
||
referenced_events.add(prev_event_id)
|
||
|
||
to_delete = referenced_events & seen_events
|
||
if not to_delete:
|
||
return False
|
||
|
||
pdus_pruned_from_federation_queue.inc(len(to_delete))
|
||
logger.info(
|
||
"Pruning %d events in room %s from federation queue",
|
||
len(to_delete),
|
||
room_id,
|
||
)
|
||
|
||
await self.db_pool.simple_delete_many(
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={"room_id": room_id},
|
||
iterable=to_delete,
|
||
column="event_id",
|
||
desc="prune_staged_events_in_room_delete",
|
||
)
|
||
|
||
return True
|
||
|
||
async def get_all_rooms_with_staged_incoming_events(self) -> List[str]:
|
||
"""Get the room IDs of all events currently staged."""
|
||
return await self.db_pool.simple_select_onecol(
|
||
table="federation_inbound_events_staging",
|
||
keyvalues={},
|
||
retcol="DISTINCT room_id",
|
||
desc="get_all_rooms_with_staged_incoming_events",
|
||
)
|
||
|
||
@wrap_as_background_process("_get_stats_for_federation_staging")
|
||
async def _get_stats_for_federation_staging(self) -> None:
|
||
"""Update the prometheus metrics for the inbound federation staging area."""
|
||
|
||
def _get_stats_for_federation_staging_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Tuple[int, int]:
|
||
txn.execute("SELECT count(*) FROM federation_inbound_events_staging")
|
||
(count,) = cast(Tuple[int], txn.fetchone())
|
||
|
||
txn.execute(
|
||
"SELECT min(received_ts) FROM federation_inbound_events_staging"
|
||
)
|
||
|
||
(received_ts,) = cast(Tuple[Optional[int]], txn.fetchone())
|
||
|
||
# If there is nothing in the staging area default it to 0.
|
||
age = 0
|
||
if received_ts is not None:
|
||
age = self._clock.time_msec() - received_ts
|
||
|
||
return count, age
|
||
|
||
count, age = await self.db_pool.runInteraction(
|
||
"_get_stats_for_federation_staging", _get_stats_for_federation_staging_txn
|
||
)
|
||
|
||
number_pdus_in_federation_queue.set(count)
|
||
oldest_pdu_in_federation_staging.set(age)
|
||
|
||
|
||
class EventFederationStore(EventFederationWorkerStore):
|
||
"""Responsible for storing and serving up the various graphs associated
|
||
with an event. Including the main event graph and the auth chains for an
|
||
event.
|
||
|
||
Also has methods for getting the front (latest) and back (oldest) edges
|
||
of the event graphs. These are used to generate the parents for new events
|
||
and backfilling from another server respectively.
|
||
"""
|
||
|
||
EVENT_AUTH_STATE_ONLY = "event_auth_state_only"
|
||
|
||
def __init__(
|
||
self,
|
||
database: DatabasePool,
|
||
db_conn: LoggingDatabaseConnection,
|
||
hs: "HomeServer",
|
||
):
|
||
super().__init__(database, db_conn, hs)
|
||
|
||
self.db_pool.updates.register_background_update_handler(
|
||
self.EVENT_AUTH_STATE_ONLY, self._background_delete_non_state_event_auth
|
||
)
|
||
|
||
async def clean_room_for_join(self, room_id: str) -> None:
|
||
await self.db_pool.runInteraction(
|
||
"clean_room_for_join", self._clean_room_for_join_txn, room_id
|
||
)
|
||
|
||
def _clean_room_for_join_txn(self, txn: LoggingTransaction, room_id: str) -> None:
|
||
query = "DELETE FROM event_forward_extremities WHERE room_id = ?"
|
||
|
||
txn.execute(query, (room_id,))
|
||
txn.call_after(self.get_latest_event_ids_in_room.invalidate, (room_id,))
|
||
|
||
async def _background_delete_non_state_event_auth(
|
||
self, progress: JsonDict, batch_size: int
|
||
) -> int:
|
||
def delete_event_auth(txn: LoggingTransaction) -> bool:
|
||
target_min_stream_id = progress.get("target_min_stream_id_inclusive")
|
||
max_stream_id = progress.get("max_stream_id_exclusive")
|
||
|
||
if not target_min_stream_id or not max_stream_id:
|
||
txn.execute("SELECT COALESCE(MIN(stream_ordering), 0) FROM events")
|
||
rows = txn.fetchall()
|
||
target_min_stream_id = rows[0][0]
|
||
|
||
txn.execute("SELECT COALESCE(MAX(stream_ordering), 0) FROM events")
|
||
rows = txn.fetchall()
|
||
max_stream_id = rows[0][0]
|
||
|
||
min_stream_id = max_stream_id - batch_size
|
||
|
||
sql = """
|
||
DELETE FROM event_auth
|
||
WHERE event_id IN (
|
||
SELECT event_id FROM events
|
||
LEFT JOIN state_events AS se USING (room_id, event_id)
|
||
WHERE ? <= stream_ordering AND stream_ordering < ?
|
||
AND se.state_key IS null
|
||
)
|
||
"""
|
||
|
||
txn.execute(sql, (min_stream_id, max_stream_id))
|
||
|
||
new_progress = {
|
||
"target_min_stream_id_inclusive": target_min_stream_id,
|
||
"max_stream_id_exclusive": min_stream_id,
|
||
}
|
||
|
||
self.db_pool.updates._background_update_progress_txn(
|
||
txn, self.EVENT_AUTH_STATE_ONLY, new_progress
|
||
)
|
||
|
||
return min_stream_id >= target_min_stream_id
|
||
|
||
result = await self.db_pool.runInteraction(
|
||
self.EVENT_AUTH_STATE_ONLY, delete_event_auth
|
||
)
|
||
|
||
if not result:
|
||
await self.db_pool.updates._end_background_update(
|
||
self.EVENT_AUTH_STATE_ONLY
|
||
)
|
||
|
||
return batch_size
|