2018-02-23 12:01:21 +01:00
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# -*- coding: utf-8 -*-
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# Copyright 2018 New Vector Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2018-07-26 14:31:59 +02:00
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import itertools
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2018-07-09 08:09:20 +02:00
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import logging
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2019-12-03 15:08:48 +01:00
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import threading
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2018-07-09 08:09:20 +02:00
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from collections import namedtuple
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2020-08-18 22:20:49 +02:00
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from typing import Dict, Iterable, List, Optional, Tuple, overload
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2018-07-09 08:09:20 +02:00
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2019-12-11 14:39:47 +01:00
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from constantly import NamedConstant, Names
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2020-08-18 22:20:49 +02:00
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from typing_extensions import Literal
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2018-02-23 12:01:21 +01:00
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2018-06-22 10:37:10 +02:00
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from twisted.internet import defer
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2018-02-23 12:01:21 +01:00
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2019-04-01 11:24:38 +02:00
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from synapse.api.constants import EventTypes
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2020-05-13 14:38:22 +02:00
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from synapse.api.errors import NotFoundError, SynapseError
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2020-03-04 14:11:04 +01:00
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from synapse.api.room_versions import (
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KNOWN_ROOM_VERSIONS,
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EventFormatVersions,
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RoomVersions,
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)
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2020-08-18 22:20:49 +02:00
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from synapse.events import EventBase, make_event_from_dict
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2020-10-27 19:42:46 +01:00
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from synapse.events.snapshot import EventContext
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2018-02-23 12:01:21 +01:00
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from synapse.events.utils import prune_event
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2020-03-24 15:45:33 +01:00
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from synapse.logging.context import PreserveLoggingContext, current_context
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2020-10-20 17:29:38 +02:00
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from synapse.metrics.background_process_metrics import (
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run_as_background_process,
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wrap_as_background_process,
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)
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2020-05-15 17:43:59 +02:00
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from synapse.replication.slave.storage._slaved_id_tracker import SlavedIdTracker
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2020-07-01 17:35:40 +02:00
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from synapse.replication.tcp.streams import BackfillStream
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from synapse.replication.tcp.streams.events import EventsStream
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2020-07-16 17:32:19 +02:00
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from synapse.storage._base import SQLBaseStore, db_to_json, make_in_list_sql_clause
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2020-08-05 22:38:57 +02:00
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from synapse.storage.database import DatabasePool
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2020-09-14 11:16:41 +02:00
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from synapse.storage.engines import PostgresEngine
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from synapse.storage.util.id_generators import MultiWriterIdGenerator, StreamIdGenerator
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2020-10-27 19:42:46 +01:00
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from synapse.types import Collection, JsonDict, get_domain_from_id
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2020-10-15 00:25:23 +02:00
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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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2020-01-14 12:58:02 +01:00
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from synapse.util.iterutils import batch_iter
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2018-02-23 12:01:21 +01:00
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from synapse.util.metrics import Measure
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logger = logging.getLogger(__name__)
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# These values are used in the `enqueus_event` and `_do_fetch` methods to
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# control how we batch/bulk fetch events from the database.
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# The values are plucked out of thing air to make initial sync run faster
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# on jki.re
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# TODO: Make these configurable.
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EVENT_QUEUE_THREADS = 3 # Max number of threads that will fetch events
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EVENT_QUEUE_ITERATIONS = 3 # No. times we block waiting for requests for events
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EVENT_QUEUE_TIMEOUT_S = 0.1 # Timeout when waiting for requests for events
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_EventCacheEntry = namedtuple("_EventCacheEntry", ("event", "redacted_event"))
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2019-12-11 14:39:47 +01:00
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class EventRedactBehaviour(Names):
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"""
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What to do when retrieving a redacted event from the database.
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"""
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AS_IS = NamedConstant()
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REDACT = NamedConstant()
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BLOCK = NamedConstant()
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2018-02-23 12:01:21 +01:00
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class EventsWorkerStore(SQLBaseStore):
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# Whether to use dedicated DB threads for event fetching. This is only used
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# if there are multiple DB threads available. When used will lock the DB
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# thread for periods of time (so unit tests want to disable this when they
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# run DB transactions on the main thread). See EVENT_QUEUE_* for more
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# options controlling this.
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USE_DEDICATED_DB_THREADS_FOR_EVENT_FETCHING = True
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def __init__(self, database: DatabasePool, db_conn, hs):
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super().__init__(database, db_conn, hs)
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2020-09-14 11:16:41 +02:00
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if isinstance(database.engine, PostgresEngine):
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# If we're using Postgres than we can use `MultiWriterIdGenerator`
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# regardless of whether this process writes to the streams or not.
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self._stream_id_gen = MultiWriterIdGenerator(
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db_conn=db_conn,
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db=database,
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stream_name="events",
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instance_name=hs.get_instance_name(),
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tables=[("events", "instance_name", "stream_ordering")],
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sequence_name="events_stream_seq",
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writers=hs.config.worker.writers.events,
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)
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self._backfill_id_gen = MultiWriterIdGenerator(
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db_conn=db_conn,
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db=database,
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stream_name="backfill",
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instance_name=hs.get_instance_name(),
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tables=[("events", "instance_name", "stream_ordering")],
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sequence_name="events_backfill_stream_seq",
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positive=False,
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writers=hs.config.worker.writers.events,
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)
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else:
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# We shouldn't be running in worker mode with SQLite, but its useful
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# to support it for unit tests.
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#
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# If this process is the writer than we need to use
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# `StreamIdGenerator`, otherwise we use `SlavedIdTracker` which gets
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# updated over replication. (Multiple writers are not supported for
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# SQLite).
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if hs.get_instance_name() in hs.config.worker.writers.events:
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self._stream_id_gen = StreamIdGenerator(
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db_conn,
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"events",
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"stream_ordering",
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2020-09-14 11:16:41 +02:00
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)
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self._backfill_id_gen = StreamIdGenerator(
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db_conn,
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"events",
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"stream_ordering",
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step=-1,
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extra_tables=[("ex_outlier_stream", "event_stream_ordering")],
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)
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else:
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self._stream_id_gen = SlavedIdTracker(
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db_conn, "events", "stream_ordering"
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)
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self._backfill_id_gen = SlavedIdTracker(
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db_conn, "events", "stream_ordering", step=-1
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)
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2020-05-15 17:43:59 +02:00
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2020-10-16 18:06:17 +02:00
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if hs.config.run_background_tasks:
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2020-10-13 13:07:56 +02:00
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# We periodically clean out old transaction ID mappings
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self._clock.looping_call(
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self._cleanup_old_transaction_ids,
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5 * 60 * 1000,
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)
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2020-10-19 13:20:29 +02:00
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self._get_event_cache = LruCache(
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cache_name="*getEvent*",
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keylen=3,
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2020-10-19 13:20:29 +02:00
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max_size=hs.config.caches.event_cache_size,
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2019-12-03 15:08:48 +01:00
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)
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self._event_fetch_lock = threading.Condition()
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self._event_fetch_list = []
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self._event_fetch_ongoing = 0
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2020-05-15 17:43:59 +02:00
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def process_replication_rows(self, stream_name, instance_name, token, rows):
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if stream_name == EventsStream.NAME:
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self._stream_id_gen.advance(instance_name, token)
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2020-07-01 17:35:40 +02:00
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elif stream_name == BackfillStream.NAME:
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self._backfill_id_gen.advance(instance_name, -token)
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super().process_replication_rows(stream_name, instance_name, token, rows)
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2020-08-26 13:19:32 +02:00
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async def get_received_ts(self, event_id: str) -> Optional[int]:
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2018-04-12 13:07:09 +02:00
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"""Get received_ts (when it was persisted) for the event.
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Raises an exception for unknown events.
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2018-04-11 12:52:19 +02:00
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Args:
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event_id: The event ID to query.
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Returns:
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Timestamp in milliseconds, or None for events that were persisted
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before received_ts was implemented.
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2018-04-11 12:52:19 +02:00
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"""
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2020-08-26 13:19:32 +02:00
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return await self.db_pool.simple_select_one_onecol(
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2018-04-11 12:52:19 +02:00
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table="events",
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keyvalues={"event_id": event_id},
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2018-04-11 12:52:19 +02:00
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retcol="received_ts",
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desc="get_received_ts",
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)
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2018-02-23 12:01:21 +01:00
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2020-08-18 22:20:49 +02:00
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# Inform mypy that if allow_none is False (the default) then get_event
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# always returns an EventBase.
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@overload
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async def get_event(
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self,
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event_id: str,
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redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.REDACT,
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get_prev_content: bool = False,
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allow_rejected: bool = False,
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allow_none: Literal[False] = False,
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check_room_id: Optional[str] = None,
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) -> EventBase:
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...
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@overload
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async def get_event(
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self,
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event_id: str,
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redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.REDACT,
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get_prev_content: bool = False,
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allow_rejected: bool = False,
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allow_none: Literal[True] = False,
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check_room_id: Optional[str] = None,
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) -> Optional[EventBase]:
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...
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async def get_event(
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self,
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event_id: str,
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redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.REDACT,
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get_prev_content: bool = False,
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allow_rejected: bool = False,
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allow_none: bool = False,
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check_room_id: Optional[str] = None,
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) -> Optional[EventBase]:
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"""Get an event from the database by event_id.
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Args:
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event_id: The event_id of the event to fetch
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2020-01-06 18:12:06 +01:00
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2019-12-11 14:39:47 +01:00
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redact_behaviour: Determine what to do with a redacted event. Possible values:
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* AS_IS - Return the full event body with no redacted content
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* REDACT - Return the event but with a redacted body
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2020-01-06 18:12:06 +01:00
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* DISALLOW - Do not return redacted events (behave as per allow_none
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if the event is redacted)
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2019-12-11 14:39:47 +01:00
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get_prev_content: If True and event is a state event,
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2018-02-23 12:01:21 +01:00
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include the previous states content in the unsigned field.
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2020-01-06 18:12:06 +01:00
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allow_rejected: If True, return rejected events. Otherwise,
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behave as per allow_none.
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2019-12-11 14:39:47 +01:00
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allow_none: If True, return None if no event found, if
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2018-08-02 14:23:48 +02:00
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False throw a NotFoundError
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2019-12-11 14:39:47 +01:00
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check_room_id: if not None, check the room of the found event.
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2018-08-02 14:23:48 +02:00
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If there is a mismatch, behave as per allow_none.
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Returns:
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The event, or None if the event was not found.
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2018-02-23 12:01:21 +01:00
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"""
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2019-07-24 14:16:18 +02:00
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if not isinstance(event_id, str):
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raise TypeError("Invalid event event_id %r" % (event_id,))
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2020-08-18 22:20:49 +02:00
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events = await self.get_events_as_list(
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[event_id],
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redact_behaviour=redact_behaviour,
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get_prev_content=get_prev_content,
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allow_rejected=allow_rejected,
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)
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2018-08-02 14:23:48 +02:00
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event = events[0] if events else None
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2018-02-23 12:01:21 +01:00
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2018-08-02 14:23:48 +02:00
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if event is not None and check_room_id is not None:
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if event.room_id != check_room_id:
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event = None
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if event is None and not allow_none:
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raise NotFoundError("Could not find event %s" % (event_id,))
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return event
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async def get_events(
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2019-04-03 11:07:29 +02:00
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self,
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event_ids: Iterable[str],
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2019-12-11 14:39:47 +01:00
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redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.REDACT,
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get_prev_content: bool = False,
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allow_rejected: bool = False,
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) -> Dict[str, EventBase]:
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"""Get events from the database
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Args:
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event_ids: The event_ids of the events to fetch
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2020-01-06 18:12:06 +01:00
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2019-12-11 14:39:47 +01:00
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redact_behaviour: Determine what to do with a redacted event. Possible
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values:
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|
|
* AS_IS - Return the full event body with no redacted content
|
|
|
|
* REDACT - Return the event but with a redacted body
|
2020-01-06 18:12:06 +01:00
|
|
|
* DISALLOW - Do not return redacted events (omit them from the response)
|
|
|
|
|
2019-12-11 14:39:47 +01:00
|
|
|
get_prev_content: If True and event is a state event,
|
2018-02-23 12:01:21 +01:00
|
|
|
include the previous states content in the unsigned field.
|
2020-01-06 18:12:06 +01:00
|
|
|
|
|
|
|
allow_rejected: If True, return rejected events. Otherwise,
|
|
|
|
omits rejeted events from the response.
|
2018-02-23 12:01:21 +01:00
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
A mapping from event_id to event.
|
2018-02-23 12:01:21 +01:00
|
|
|
"""
|
2020-08-18 22:20:49 +02:00
|
|
|
events = await self.get_events_as_list(
|
2018-02-23 12:01:21 +01:00
|
|
|
event_ids,
|
2019-12-11 14:39:47 +01:00
|
|
|
redact_behaviour=redact_behaviour,
|
2018-02-23 12:01:21 +01:00
|
|
|
get_prev_content=get_prev_content,
|
|
|
|
allow_rejected=allow_rejected,
|
|
|
|
)
|
|
|
|
|
2019-07-23 15:00:55 +02:00
|
|
|
return {e.event_id: e for e in events}
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def get_events_as_list(
|
2019-04-03 11:07:29 +02:00
|
|
|
self,
|
2020-08-18 22:20:49 +02:00
|
|
|
event_ids: Collection[str],
|
2019-12-11 14:39:47 +01:00
|
|
|
redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.REDACT,
|
|
|
|
get_prev_content: bool = False,
|
|
|
|
allow_rejected: bool = False,
|
2020-08-18 22:20:49 +02:00
|
|
|
) -> List[EventBase]:
|
2019-05-14 14:37:44 +02:00
|
|
|
"""Get events from the database and return in a list in the same order
|
|
|
|
as given by `event_ids` arg.
|
|
|
|
|
2020-01-06 18:12:06 +01:00
|
|
|
Unknown events will be omitted from the response.
|
|
|
|
|
2019-05-14 14:37:44 +02:00
|
|
|
Args:
|
2019-12-11 14:39:47 +01:00
|
|
|
event_ids: The event_ids of the events to fetch
|
2020-01-06 18:12:06 +01:00
|
|
|
|
2019-12-11 14:39:47 +01:00
|
|
|
redact_behaviour: Determine what to do with a redacted event. Possible values:
|
|
|
|
* AS_IS - Return the full event body with no redacted content
|
|
|
|
* REDACT - Return the event but with a redacted body
|
2020-01-06 18:12:06 +01:00
|
|
|
* DISALLOW - Do not return redacted events (omit them from the response)
|
|
|
|
|
2019-12-11 14:39:47 +01:00
|
|
|
get_prev_content: If True and event is a state event,
|
2019-05-14 14:37:44 +02:00
|
|
|
include the previous states content in the unsigned field.
|
2020-01-06 18:12:06 +01:00
|
|
|
|
|
|
|
allow_rejected: If True, return rejected events. Otherwise,
|
|
|
|
omits rejected events from the response.
|
2019-05-14 14:37:44 +02:00
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
List of events fetched from the database. The events are in the same
|
|
|
|
order as `event_ids` arg.
|
2019-05-14 14:37:44 +02:00
|
|
|
|
|
|
|
Note that the returned list may be smaller than the list of event
|
|
|
|
IDs if not all events could be fetched.
|
|
|
|
"""
|
|
|
|
|
2018-02-23 12:01:21 +01:00
|
|
|
if not event_ids:
|
2019-07-23 15:00:55 +02:00
|
|
|
return []
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-07-17 17:49:19 +02:00
|
|
|
# there may be duplicates so we cast the list to a set
|
2020-08-18 22:20:49 +02:00
|
|
|
event_entry_map = await self._get_events_from_cache_or_db(
|
2019-07-17 17:49:19 +02:00
|
|
|
set(event_ids), allow_rejected=allow_rejected
|
2018-02-23 12:01:21 +01:00
|
|
|
)
|
|
|
|
|
|
|
|
events = []
|
2019-07-17 17:49:19 +02:00
|
|
|
for event_id in event_ids:
|
2018-02-23 12:01:21 +01:00
|
|
|
entry = event_entry_map.get(event_id, None)
|
|
|
|
if not entry:
|
|
|
|
continue
|
|
|
|
|
2019-07-17 17:49:19 +02:00
|
|
|
if not allow_rejected:
|
|
|
|
assert not entry.event.rejected_reason, (
|
|
|
|
"rejected event returned from _get_events_from_cache_or_db despite "
|
|
|
|
"allow_rejected=False"
|
|
|
|
)
|
|
|
|
|
2019-07-17 18:34:13 +02:00
|
|
|
# We may not have had the original event when we received a redaction, so
|
|
|
|
# we have to recheck auth now.
|
|
|
|
|
2019-01-28 22:09:45 +01:00
|
|
|
if not allow_rejected and entry.event.type == EventTypes.Redaction:
|
2020-01-23 16:19:03 +01:00
|
|
|
if entry.event.redacts is None:
|
2019-10-02 11:14:01 +02:00
|
|
|
# A redacted redaction doesn't have a `redacts` key, in
|
|
|
|
# which case lets just withhold the event.
|
|
|
|
#
|
|
|
|
# Note: Most of the time if the redactions has been
|
|
|
|
# redacted we still have the un-redacted event in the DB
|
|
|
|
# and so we'll still see the `redacts` key. However, this
|
|
|
|
# isn't always true e.g. if we have censored the event.
|
|
|
|
logger.debug(
|
|
|
|
"Withholding redaction event %s as we don't have redacts key",
|
|
|
|
event_id,
|
|
|
|
)
|
|
|
|
continue
|
|
|
|
|
2019-07-17 18:34:13 +02:00
|
|
|
redacted_event_id = entry.event.redacts
|
2020-08-18 22:20:49 +02:00
|
|
|
event_map = await self._get_events_from_cache_or_db([redacted_event_id])
|
2019-07-17 18:34:13 +02:00
|
|
|
original_event_entry = event_map.get(redacted_event_id)
|
|
|
|
if not original_event_entry:
|
|
|
|
# we don't have the redacted event (or it was rejected).
|
|
|
|
#
|
|
|
|
# We assume that the redaction isn't authorized for now; if the
|
|
|
|
# redacted event later turns up, the redaction will be re-checked,
|
|
|
|
# and if it is found valid, the original will get redacted before it
|
|
|
|
# is served to the client.
|
|
|
|
logger.debug(
|
|
|
|
"Withholding redaction event %s since we don't (yet) have the "
|
|
|
|
"original %s",
|
|
|
|
event_id,
|
|
|
|
redacted_event_id,
|
2019-01-28 22:09:45 +01:00
|
|
|
)
|
2019-07-17 18:34:13 +02:00
|
|
|
continue
|
2019-01-31 16:34:17 +01:00
|
|
|
|
2019-07-17 18:34:13 +02:00
|
|
|
original_event = original_event_entry.event
|
2019-07-17 20:08:02 +02:00
|
|
|
if original_event.type == EventTypes.Create:
|
|
|
|
# we never serve redactions of Creates to clients.
|
|
|
|
logger.info(
|
|
|
|
"Withholding redaction %s of create event %s",
|
|
|
|
event_id,
|
|
|
|
redacted_event_id,
|
|
|
|
)
|
|
|
|
continue
|
2019-07-17 18:34:13 +02:00
|
|
|
|
2019-07-24 23:44:39 +02:00
|
|
|
if original_event.room_id != entry.event.room_id:
|
|
|
|
logger.info(
|
|
|
|
"Withholding redaction %s of event %s from a different room",
|
|
|
|
event_id,
|
|
|
|
redacted_event_id,
|
|
|
|
)
|
|
|
|
continue
|
|
|
|
|
2019-07-17 18:34:13 +02:00
|
|
|
if entry.event.internal_metadata.need_to_check_redaction():
|
|
|
|
original_domain = get_domain_from_id(original_event.sender)
|
|
|
|
redaction_domain = get_domain_from_id(entry.event.sender)
|
|
|
|
if original_domain != redaction_domain:
|
|
|
|
# the senders don't match, so this is forbidden
|
|
|
|
logger.info(
|
|
|
|
"Withholding redaction %s whose sender domain %s doesn't "
|
|
|
|
"match that of redacted event %s %s",
|
|
|
|
event_id,
|
|
|
|
redaction_domain,
|
|
|
|
redacted_event_id,
|
|
|
|
original_domain,
|
|
|
|
)
|
2019-01-28 22:09:45 +01:00
|
|
|
continue
|
|
|
|
|
2019-07-17 18:34:13 +02:00
|
|
|
# Update the cache to save doing the checks again.
|
|
|
|
entry.event.internal_metadata.recheck_redaction = False
|
|
|
|
|
2019-12-11 14:39:47 +01:00
|
|
|
event = entry.event
|
|
|
|
|
|
|
|
if entry.redacted_event:
|
|
|
|
if redact_behaviour == EventRedactBehaviour.BLOCK:
|
|
|
|
# Skip this event
|
|
|
|
continue
|
|
|
|
elif redact_behaviour == EventRedactBehaviour.REDACT:
|
|
|
|
event = entry.redacted_event
|
2019-07-17 17:49:19 +02:00
|
|
|
|
|
|
|
events.append(event)
|
|
|
|
|
|
|
|
if get_prev_content:
|
|
|
|
if "replaces_state" in event.unsigned:
|
2020-08-18 22:20:49 +02:00
|
|
|
prev = await self.get_event(
|
2019-07-17 17:49:19 +02:00
|
|
|
event.unsigned["replaces_state"],
|
|
|
|
get_prev_content=False,
|
|
|
|
allow_none=True,
|
|
|
|
)
|
|
|
|
if prev:
|
|
|
|
event.unsigned = dict(event.unsigned)
|
|
|
|
event.unsigned["prev_content"] = prev.content
|
|
|
|
event.unsigned["prev_sender"] = prev.sender
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-07-23 15:00:55 +02:00
|
|
|
return events
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def _get_events_from_cache_or_db(self, event_ids, allow_rejected=False):
|
2019-07-17 17:49:19 +02:00
|
|
|
"""Fetch a bunch of events from the cache or the database.
|
|
|
|
|
|
|
|
If events are pulled from the database, they will be cached for future lookups.
|
|
|
|
|
2020-01-06 18:12:06 +01:00
|
|
|
Unknown events are omitted from the response.
|
|
|
|
|
2019-07-17 17:49:19 +02:00
|
|
|
Args:
|
2020-01-06 18:12:06 +01:00
|
|
|
|
2019-07-17 17:49:19 +02:00
|
|
|
event_ids (Iterable[str]): The event_ids of the events to fetch
|
2020-01-06 18:12:06 +01:00
|
|
|
|
|
|
|
allow_rejected (bool): Whether to include rejected events. If False,
|
|
|
|
rejected events are omitted from the response.
|
2019-07-17 17:49:19 +02:00
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
Dict[str, _EventCacheEntry]:
|
2019-07-17 17:49:19 +02:00
|
|
|
map from event id to result
|
|
|
|
"""
|
|
|
|
event_entry_map = self._get_events_from_cache(
|
|
|
|
event_ids, allow_rejected=allow_rejected
|
|
|
|
)
|
|
|
|
|
|
|
|
missing_events_ids = [e for e in event_ids if e not in event_entry_map]
|
|
|
|
|
|
|
|
if missing_events_ids:
|
2020-03-24 15:45:33 +01:00
|
|
|
log_ctx = current_context()
|
2019-07-17 17:49:19 +02:00
|
|
|
log_ctx.record_event_fetch(len(missing_events_ids))
|
|
|
|
|
2019-07-24 17:37:50 +02:00
|
|
|
# Note that _get_events_from_db is also responsible for turning db rows
|
2019-07-17 17:49:19 +02:00
|
|
|
# into FrozenEvents (via _get_event_from_row), which involves seeing if
|
|
|
|
# the events have been redacted, and if so pulling the redaction event out
|
|
|
|
# of the database to check it.
|
|
|
|
#
|
2020-08-18 22:20:49 +02:00
|
|
|
missing_events = await self._get_events_from_db(
|
2019-07-17 17:49:19 +02:00
|
|
|
missing_events_ids, allow_rejected=allow_rejected
|
|
|
|
)
|
|
|
|
|
|
|
|
event_entry_map.update(missing_events)
|
|
|
|
|
|
|
|
return event_entry_map
|
|
|
|
|
2018-02-23 12:01:21 +01:00
|
|
|
def _invalidate_get_event_cache(self, event_id):
|
2019-01-30 11:53:17 +01:00
|
|
|
self._get_event_cache.invalidate((event_id,))
|
2018-02-23 12:01:21 +01:00
|
|
|
|
|
|
|
def _get_events_from_cache(self, events, allow_rejected, update_metrics=True):
|
|
|
|
"""Fetch events from the caches
|
|
|
|
|
|
|
|
Args:
|
2019-07-17 17:49:19 +02:00
|
|
|
events (Iterable[str]): list of event_ids to fetch
|
2019-07-11 14:33:23 +02:00
|
|
|
allow_rejected (bool): Whether to return events that were rejected
|
2018-02-23 12:01:21 +01:00
|
|
|
update_metrics (bool): Whether to update the cache hit ratio metrics
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
dict of event_id -> _EventCacheEntry for each event_id in cache. If
|
|
|
|
allow_rejected is `False` then there will still be an entry but it
|
|
|
|
will be `None`
|
|
|
|
"""
|
|
|
|
event_map = {}
|
|
|
|
|
|
|
|
for event_id in events:
|
|
|
|
ret = self._get_event_cache.get(
|
2019-04-03 11:07:29 +02:00
|
|
|
(event_id,), None, update_metrics=update_metrics
|
2018-02-23 12:01:21 +01:00
|
|
|
)
|
|
|
|
if not ret:
|
|
|
|
continue
|
|
|
|
|
|
|
|
if allow_rejected or not ret.event.rejected_reason:
|
|
|
|
event_map[event_id] = ret
|
|
|
|
else:
|
|
|
|
event_map[event_id] = None
|
|
|
|
|
|
|
|
return event_map
|
|
|
|
|
2020-10-27 19:42:46 +01:00
|
|
|
async def get_stripped_room_state_from_event_context(
|
|
|
|
self,
|
|
|
|
context: EventContext,
|
|
|
|
state_types_to_include: List[EventTypes],
|
2020-10-30 01:22:31 +01:00
|
|
|
membership_user_id: Optional[str] = None,
|
2020-10-27 19:42:46 +01:00
|
|
|
) -> List[JsonDict]:
|
|
|
|
"""
|
|
|
|
Retrieve the stripped state from a room, given an event context to retrieve state
|
|
|
|
from as well as the state types to include. Optionally, include the membership
|
|
|
|
events from a specific user.
|
|
|
|
|
|
|
|
"Stripped" state means that only the `type`, `state_key`, `content` and `sender` keys
|
|
|
|
are included from each state event.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
context: The event context to retrieve state of the room from.
|
|
|
|
state_types_to_include: The type of state events to include.
|
|
|
|
membership_user_id: An optional user ID to include the stripped membership state
|
|
|
|
events of. This is useful when generating the stripped state of a room for
|
|
|
|
invites. We want to send membership events of the inviter, so that the
|
|
|
|
invitee can display the inviter's profile information if the room lacks any.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
A list of dictionaries, each representing a stripped state event from the room.
|
|
|
|
"""
|
|
|
|
current_state_ids = await context.get_current_state_ids()
|
|
|
|
|
|
|
|
# We know this event is not an outlier, so this must be
|
|
|
|
# non-None.
|
|
|
|
assert current_state_ids is not None
|
|
|
|
|
|
|
|
# The state to include
|
|
|
|
state_to_include_ids = [
|
|
|
|
e_id
|
|
|
|
for k, e_id in current_state_ids.items()
|
|
|
|
if k[0] in state_types_to_include
|
|
|
|
or (membership_user_id and k == (EventTypes.Member, membership_user_id))
|
|
|
|
]
|
|
|
|
|
|
|
|
state_to_include = await self.get_events(state_to_include_ids)
|
|
|
|
|
|
|
|
return [
|
|
|
|
{
|
|
|
|
"type": e.type,
|
|
|
|
"state_key": e.state_key,
|
|
|
|
"content": e.content,
|
|
|
|
"sender": e.sender,
|
|
|
|
}
|
|
|
|
for e in state_to_include.values()
|
|
|
|
]
|
|
|
|
|
2018-02-23 12:01:21 +01:00
|
|
|
def _do_fetch(self, conn):
|
|
|
|
"""Takes a database connection and waits for requests for events from
|
|
|
|
the _event_fetch_list queue.
|
|
|
|
"""
|
|
|
|
i = 0
|
|
|
|
while True:
|
2018-07-09 19:06:03 +02:00
|
|
|
with self._event_fetch_lock:
|
|
|
|
event_list = self._event_fetch_list
|
|
|
|
self._event_fetch_list = []
|
|
|
|
|
|
|
|
if not event_list:
|
|
|
|
single_threaded = self.database_engine.single_threaded
|
2020-10-02 16:09:31 +02:00
|
|
|
if (
|
|
|
|
not self.USE_DEDICATED_DB_THREADS_FOR_EVENT_FETCHING
|
|
|
|
or single_threaded
|
|
|
|
or i > EVENT_QUEUE_ITERATIONS
|
|
|
|
):
|
2018-07-09 19:06:03 +02:00
|
|
|
self._event_fetch_ongoing -= 1
|
|
|
|
return
|
|
|
|
else:
|
|
|
|
self._event_fetch_lock.wait(EVENT_QUEUE_TIMEOUT_S)
|
|
|
|
i += 1
|
|
|
|
continue
|
|
|
|
i = 0
|
|
|
|
|
|
|
|
self._fetch_event_list(conn, event_list)
|
|
|
|
|
|
|
|
def _fetch_event_list(self, conn, event_list):
|
|
|
|
"""Handle a load of requests from the _event_fetch_list queue
|
|
|
|
|
|
|
|
Args:
|
|
|
|
conn (twisted.enterprise.adbapi.Connection): database connection
|
|
|
|
|
|
|
|
event_list (list[Tuple[list[str], Deferred]]):
|
|
|
|
The fetch requests. Each entry consists of a list of event
|
|
|
|
ids to be fetched, and a deferred to be completed once the
|
|
|
|
events have been fetched.
|
2019-07-24 16:27:53 +02:00
|
|
|
|
|
|
|
The deferreds are callbacked with a dictionary mapping from event id
|
|
|
|
to event row. Note that it may well contain additional events that
|
|
|
|
were not part of this request.
|
2018-07-09 19:06:03 +02:00
|
|
|
"""
|
|
|
|
with Measure(self._clock, "_fetch_event_list"):
|
|
|
|
try:
|
2020-02-21 13:15:07 +01:00
|
|
|
events_to_fetch = {
|
2019-07-24 16:27:53 +02:00
|
|
|
event_id for events, _ in event_list for event_id in events
|
2020-02-21 13:15:07 +01:00
|
|
|
}
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-08-05 22:38:57 +02:00
|
|
|
row_dict = self.db_pool.new_transaction(
|
2019-07-24 16:27:53 +02:00
|
|
|
conn, "do_fetch", [], [], self._fetch_event_rows, events_to_fetch
|
2018-02-23 12:01:21 +01:00
|
|
|
)
|
|
|
|
|
|
|
|
# We only want to resolve deferreds from the main thread
|
2019-07-24 16:27:53 +02:00
|
|
|
def fire():
|
|
|
|
for _, d in event_list:
|
|
|
|
d.callback(row_dict)
|
2019-04-03 11:07:29 +02:00
|
|
|
|
2018-02-23 12:01:21 +01:00
|
|
|
with PreserveLoggingContext():
|
2019-07-24 16:27:53 +02:00
|
|
|
self.hs.get_reactor().callFromThread(fire)
|
2018-02-23 12:01:21 +01:00
|
|
|
except Exception as e:
|
|
|
|
logger.exception("do_fetch")
|
|
|
|
|
|
|
|
# We only want to resolve deferreds from the main thread
|
2018-08-30 16:19:58 +02:00
|
|
|
def fire(evs, exc):
|
2018-02-23 12:01:21 +01:00
|
|
|
for _, d in evs:
|
|
|
|
if not d.called:
|
|
|
|
with PreserveLoggingContext():
|
2018-08-30 16:19:58 +02:00
|
|
|
d.errback(exc)
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2018-07-09 19:06:03 +02:00
|
|
|
with PreserveLoggingContext():
|
2018-08-30 16:19:58 +02:00
|
|
|
self.hs.get_reactor().callFromThread(fire, event_list, e)
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def _get_events_from_db(self, event_ids, allow_rejected=False):
|
2019-07-24 17:37:50 +02:00
|
|
|
"""Fetch a bunch of events from the database.
|
|
|
|
|
|
|
|
Returned events will be added to the cache for future lookups.
|
2019-07-24 16:27:53 +02:00
|
|
|
|
2020-01-06 18:12:06 +01:00
|
|
|
Unknown events are omitted from the response.
|
|
|
|
|
2019-07-24 16:27:53 +02:00
|
|
|
Args:
|
2019-07-24 17:37:50 +02:00
|
|
|
event_ids (Iterable[str]): The event_ids of the events to fetch
|
2020-01-06 18:12:06 +01:00
|
|
|
|
|
|
|
allow_rejected (bool): Whether to include rejected events. If False,
|
|
|
|
rejected events are omitted from the response.
|
2019-07-24 16:27:53 +02:00
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
Dict[str, _EventCacheEntry]:
|
2019-07-24 17:44:10 +02:00
|
|
|
map from event id to result. May return extra events which
|
|
|
|
weren't asked for.
|
2018-02-23 12:01:21 +01:00
|
|
|
"""
|
2019-07-24 17:44:10 +02:00
|
|
|
fetched_events = {}
|
|
|
|
events_to_fetch = event_ids
|
|
|
|
|
|
|
|
while events_to_fetch:
|
2020-08-18 22:20:49 +02:00
|
|
|
row_map = await self._enqueue_events(events_to_fetch)
|
2019-07-24 17:44:10 +02:00
|
|
|
|
|
|
|
# we need to recursively fetch any redactions of those events
|
|
|
|
redaction_ids = set()
|
|
|
|
for event_id in events_to_fetch:
|
|
|
|
row = row_map.get(event_id)
|
|
|
|
fetched_events[event_id] = row
|
|
|
|
if row:
|
|
|
|
redaction_ids.update(row["redactions"])
|
|
|
|
|
|
|
|
events_to_fetch = redaction_ids.difference(fetched_events.keys())
|
|
|
|
if events_to_fetch:
|
|
|
|
logger.debug("Also fetching redaction events %s", events_to_fetch)
|
|
|
|
|
2019-07-24 23:45:35 +02:00
|
|
|
# build a map from event_id to EventBase
|
|
|
|
event_map = {}
|
2019-07-24 17:44:10 +02:00
|
|
|
for event_id, row in fetched_events.items():
|
|
|
|
if not row:
|
|
|
|
continue
|
|
|
|
assert row["event_id"] == event_id
|
2019-07-24 16:27:53 +02:00
|
|
|
|
2019-07-24 17:44:10 +02:00
|
|
|
rejected_reason = row["rejected_reason"]
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-07-24 17:44:10 +02:00
|
|
|
if not allow_rejected and rejected_reason:
|
|
|
|
continue
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-08-19 13:26:03 +02:00
|
|
|
# If the event or metadata cannot be parsed, log the error and act
|
|
|
|
# as if the event is unknown.
|
|
|
|
try:
|
|
|
|
d = db_to_json(row["json"])
|
|
|
|
except ValueError:
|
|
|
|
logger.error("Unable to parse json from event: %s", event_id)
|
|
|
|
continue
|
|
|
|
try:
|
|
|
|
internal_metadata = db_to_json(row["internal_metadata"])
|
|
|
|
except ValueError:
|
|
|
|
logger.error(
|
|
|
|
"Unable to parse internal_metadata from event: %s", event_id
|
|
|
|
)
|
|
|
|
continue
|
2019-07-24 23:45:35 +02:00
|
|
|
|
|
|
|
format_version = row["format_version"]
|
|
|
|
if format_version is None:
|
|
|
|
# This means that we stored the event before we had the concept
|
|
|
|
# of a event format version, so it must be a V1 event.
|
|
|
|
format_version = EventFormatVersions.V1
|
|
|
|
|
2020-03-04 14:11:04 +01:00
|
|
|
room_version_id = row["room_version_id"]
|
|
|
|
|
|
|
|
if not room_version_id:
|
2020-08-20 17:42:12 +02:00
|
|
|
# this should only happen for out-of-band membership events which
|
|
|
|
# arrived before #6983 landed. For all other events, we should have
|
|
|
|
# an entry in the 'rooms' table.
|
|
|
|
#
|
|
|
|
# However, the 'out_of_band_membership' flag is unreliable for older
|
|
|
|
# invites, so just accept it for all membership events.
|
|
|
|
#
|
|
|
|
if d["type"] != EventTypes.Member:
|
|
|
|
raise Exception(
|
|
|
|
"Room %s for event %s is unknown" % (d["room_id"], event_id)
|
2020-03-04 14:11:04 +01:00
|
|
|
)
|
|
|
|
|
2020-08-20 17:42:12 +02:00
|
|
|
# so, assuming this is an out-of-band-invite that arrived before #6983
|
|
|
|
# landed, we know that the room version must be v5 or earlier (because
|
|
|
|
# v6 hadn't been invented at that point, so invites from such rooms
|
|
|
|
# would have been rejected.)
|
|
|
|
#
|
|
|
|
# The main reason we need to know the room version here (other than
|
|
|
|
# choosing the right python Event class) is in case the event later has
|
|
|
|
# to be redacted - and all the room versions up to v5 used the same
|
|
|
|
# redaction algorithm.
|
|
|
|
#
|
|
|
|
# So, the following approximations should be adequate.
|
|
|
|
|
2020-03-04 14:11:04 +01:00
|
|
|
if format_version == EventFormatVersions.V1:
|
2020-08-20 17:42:12 +02:00
|
|
|
# if it's event format v1 then it must be room v1 or v2
|
2020-03-04 14:11:04 +01:00
|
|
|
room_version = RoomVersions.V1
|
|
|
|
elif format_version == EventFormatVersions.V2:
|
2020-08-20 17:42:12 +02:00
|
|
|
# if it's event format v2 then it must be room v3
|
2020-03-04 14:11:04 +01:00
|
|
|
room_version = RoomVersions.V3
|
|
|
|
else:
|
2020-08-20 17:42:12 +02:00
|
|
|
# if it's event format v3 then it must be room v4 or v5
|
2020-03-04 14:11:04 +01:00
|
|
|
room_version = RoomVersions.V5
|
|
|
|
else:
|
|
|
|
room_version = KNOWN_ROOM_VERSIONS.get(room_version_id)
|
|
|
|
if not room_version:
|
2020-07-17 13:10:43 +02:00
|
|
|
logger.warning(
|
2020-03-04 14:11:04 +01:00
|
|
|
"Event %s in room %s has unknown room version %s",
|
|
|
|
event_id,
|
|
|
|
d["room_id"],
|
|
|
|
room_version_id,
|
|
|
|
)
|
|
|
|
continue
|
|
|
|
|
|
|
|
if room_version.event_format != format_version:
|
|
|
|
logger.error(
|
|
|
|
"Event %s in room %s with version %s has wrong format: "
|
|
|
|
"expected %s, was %s",
|
|
|
|
event_id,
|
|
|
|
d["room_id"],
|
|
|
|
room_version_id,
|
|
|
|
room_version.event_format,
|
|
|
|
format_version,
|
|
|
|
)
|
|
|
|
continue
|
|
|
|
|
|
|
|
original_ev = make_event_from_dict(
|
2019-07-24 23:45:35 +02:00
|
|
|
event_dict=d,
|
2020-03-04 14:11:04 +01:00
|
|
|
room_version=room_version,
|
2019-07-24 23:45:35 +02:00
|
|
|
internal_metadata_dict=internal_metadata,
|
|
|
|
rejected_reason=rejected_reason,
|
2019-04-03 11:07:29 +02:00
|
|
|
)
|
2020-10-05 15:43:14 +02:00
|
|
|
original_ev.internal_metadata.stream_ordering = row["stream_ordering"]
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-07-24 23:45:35 +02:00
|
|
|
event_map[event_id] = original_ev
|
|
|
|
|
2020-04-11 21:55:18 +02:00
|
|
|
# finally, we can decide whether each one needs redacting, and build
|
2019-07-24 23:45:35 +02:00
|
|
|
# the cache entries.
|
|
|
|
result_map = {}
|
|
|
|
for event_id, original_ev in event_map.items():
|
|
|
|
redactions = fetched_events[event_id]["redactions"]
|
|
|
|
redacted_event = self._maybe_redact_event_row(
|
|
|
|
original_ev, redactions, event_map
|
|
|
|
)
|
|
|
|
|
|
|
|
cache_entry = _EventCacheEntry(
|
|
|
|
event=original_ev, redacted_event=redacted_event
|
|
|
|
)
|
|
|
|
|
2020-10-19 13:20:29 +02:00
|
|
|
self._get_event_cache.set((event_id,), cache_entry)
|
2019-07-24 17:44:10 +02:00
|
|
|
result_map[event_id] = cache_entry
|
|
|
|
|
|
|
|
return result_map
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def _enqueue_events(self, events):
|
2019-07-24 17:37:50 +02:00
|
|
|
"""Fetches events from the database using the _event_fetch_list. This
|
|
|
|
allows batch and bulk fetching of events - it allows us to fetch events
|
|
|
|
without having to create a new transaction for each request for events.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
events (Iterable[str]): events to be fetched.
|
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
Dict[str, Dict]: map from event id to row data from the database.
|
2019-07-24 17:37:50 +02:00
|
|
|
May contain events that weren't requested.
|
|
|
|
"""
|
|
|
|
|
|
|
|
events_d = defer.Deferred()
|
|
|
|
with self._event_fetch_lock:
|
|
|
|
self._event_fetch_list.append((events, events_d))
|
|
|
|
|
|
|
|
self._event_fetch_lock.notify()
|
|
|
|
|
|
|
|
if self._event_fetch_ongoing < EVENT_QUEUE_THREADS:
|
|
|
|
self._event_fetch_ongoing += 1
|
|
|
|
should_start = True
|
|
|
|
else:
|
|
|
|
should_start = False
|
|
|
|
|
|
|
|
if should_start:
|
|
|
|
run_as_background_process(
|
2020-08-05 22:38:57 +02:00
|
|
|
"fetch_events", self.db_pool.runWithConnection, self._do_fetch
|
2019-07-24 17:37:50 +02:00
|
|
|
)
|
|
|
|
|
|
|
|
logger.debug("Loading %d events: %s", len(events), events)
|
|
|
|
with PreserveLoggingContext():
|
2020-08-18 22:20:49 +02:00
|
|
|
row_map = await events_d
|
2019-07-24 17:37:50 +02:00
|
|
|
logger.debug("Loaded %d events (%d rows)", len(events), len(row_map))
|
|
|
|
|
|
|
|
return row_map
|
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
def _fetch_event_rows(self, txn, event_ids):
|
|
|
|
"""Fetch event rows from the database
|
|
|
|
|
|
|
|
Events which are not found are omitted from the result.
|
|
|
|
|
|
|
|
The returned per-event dicts contain the following keys:
|
|
|
|
|
|
|
|
* event_id (str)
|
|
|
|
|
2020-10-05 15:43:14 +02:00
|
|
|
* stream_ordering (int): stream ordering for this event
|
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
* json (str): json-encoded event structure
|
|
|
|
|
|
|
|
* internal_metadata (str): json-encoded internal metadata dict
|
|
|
|
|
|
|
|
* format_version (int|None): The format of the event. Hopefully one
|
|
|
|
of EventFormatVersions. 'None' means the event predates
|
|
|
|
EventFormatVersions (so the event is format V1).
|
|
|
|
|
2020-03-04 14:11:04 +01:00
|
|
|
* room_version_id (str|None): The version of the room which contains the event.
|
|
|
|
Hopefully one of RoomVersions.
|
|
|
|
|
|
|
|
Due to historical reasons, there may be a few events in the database which
|
|
|
|
do not have an associated room; in this case None will be returned here.
|
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
* rejected_reason (str|None): if the event was rejected, the reason
|
|
|
|
why.
|
|
|
|
|
|
|
|
* redactions (List[str]): a list of event-ids which (claim to) redact
|
|
|
|
this event.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection):
|
|
|
|
event_ids (Iterable[str]): event IDs to fetch
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
Returns:
|
|
|
|
Dict[str, Dict]: a map from event id to event info.
|
|
|
|
"""
|
|
|
|
event_dict = {}
|
|
|
|
for evs in batch_iter(event_ids, 200):
|
2020-03-04 14:11:04 +01:00
|
|
|
sql = """\
|
|
|
|
SELECT
|
|
|
|
e.event_id,
|
2020-10-05 15:43:14 +02:00
|
|
|
e.stream_ordering,
|
|
|
|
ej.internal_metadata,
|
|
|
|
ej.json,
|
|
|
|
ej.format_version,
|
2020-03-04 14:11:04 +01:00
|
|
|
r.room_version,
|
|
|
|
rej.reason
|
2020-10-05 15:43:14 +02:00
|
|
|
FROM events AS e
|
|
|
|
JOIN event_json AS ej USING (event_id)
|
|
|
|
LEFT JOIN rooms r ON r.room_id = e.room_id
|
2020-03-04 14:11:04 +01:00
|
|
|
LEFT JOIN rejections as rej USING (event_id)
|
|
|
|
WHERE """
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-10-02 20:07:07 +02:00
|
|
|
clause, args = make_in_list_sql_clause(
|
|
|
|
txn.database_engine, "e.event_id", evs
|
|
|
|
)
|
|
|
|
|
|
|
|
txn.execute(sql + clause, args)
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
for row in txn:
|
|
|
|
event_id = row[0]
|
|
|
|
event_dict[event_id] = {
|
|
|
|
"event_id": event_id,
|
2020-10-05 15:43:14 +02:00
|
|
|
"stream_ordering": row[1],
|
|
|
|
"internal_metadata": row[2],
|
|
|
|
"json": row[3],
|
|
|
|
"format_version": row[4],
|
|
|
|
"room_version_id": row[5],
|
|
|
|
"rejected_reason": row[6],
|
2019-07-17 17:52:02 +02:00
|
|
|
"redactions": [],
|
|
|
|
}
|
|
|
|
|
|
|
|
# check for redactions
|
2019-10-02 20:07:07 +02:00
|
|
|
redactions_sql = "SELECT event_id, redacts FROM redactions WHERE "
|
|
|
|
|
|
|
|
clause, args = make_in_list_sql_clause(txn.database_engine, "redacts", evs)
|
2019-07-17 17:52:02 +02:00
|
|
|
|
2019-10-02 20:07:07 +02:00
|
|
|
txn.execute(redactions_sql + clause, args)
|
2019-07-17 17:52:02 +02:00
|
|
|
|
|
|
|
for (redacter, redacted) in txn:
|
|
|
|
d = event_dict.get(redacted)
|
|
|
|
if d:
|
|
|
|
d["redactions"].append(redacter)
|
|
|
|
|
|
|
|
return event_dict
|
2018-02-23 12:01:21 +01:00
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
def _maybe_redact_event_row(
|
|
|
|
self,
|
|
|
|
original_ev: EventBase,
|
|
|
|
redactions: Iterable[str],
|
|
|
|
event_map: Dict[str, EventBase],
|
|
|
|
) -> Optional[EventBase]:
|
2019-07-17 17:52:02 +02:00
|
|
|
"""Given an event object and a list of possible redacting event ids,
|
|
|
|
determine whether to honour any of those redactions and if so return a redacted
|
|
|
|
event.
|
|
|
|
|
|
|
|
Args:
|
2020-09-01 15:21:48 +02:00
|
|
|
original_ev: The original event.
|
|
|
|
redactions: list of event ids of potential redaction events
|
|
|
|
event_map: other events which have been fetched, in which we can
|
|
|
|
look up the redaaction events. Map from event id to event.
|
2019-07-17 17:52:02 +02:00
|
|
|
|
|
|
|
Returns:
|
2020-09-01 15:21:48 +02:00
|
|
|
If the event should be redacted, a pruned event object. Otherwise, None.
|
2019-07-17 17:52:02 +02:00
|
|
|
"""
|
2019-07-17 20:08:02 +02:00
|
|
|
if original_ev.type == "m.room.create":
|
|
|
|
# we choose to ignore redactions of m.room.create events.
|
|
|
|
return None
|
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
for redaction_id in redactions:
|
2019-07-24 23:45:35 +02:00
|
|
|
redaction_event = event_map.get(redaction_id)
|
|
|
|
if not redaction_event or redaction_event.rejected_reason:
|
2019-07-17 17:52:02 +02:00
|
|
|
# we don't have the redaction event, or the redaction event was not
|
|
|
|
# authorized.
|
2019-07-24 23:44:39 +02:00
|
|
|
logger.debug(
|
|
|
|
"%s was redacted by %s but redaction not found/authed",
|
|
|
|
original_ev.event_id,
|
|
|
|
redaction_id,
|
|
|
|
)
|
2019-07-17 17:52:02 +02:00
|
|
|
continue
|
|
|
|
|
2019-07-24 23:44:39 +02:00
|
|
|
if redaction_event.room_id != original_ev.room_id:
|
|
|
|
logger.debug(
|
|
|
|
"%s was redacted by %s but redaction was in a different room!",
|
|
|
|
original_ev.event_id,
|
|
|
|
redaction_id,
|
|
|
|
)
|
|
|
|
continue
|
2019-07-17 17:52:02 +02:00
|
|
|
|
|
|
|
# Starting in room version v3, some redactions need to be
|
|
|
|
# rechecked if we didn't have the redacted event at the
|
|
|
|
# time, so we recheck on read instead.
|
|
|
|
if redaction_event.internal_metadata.need_to_check_redaction():
|
|
|
|
expected_domain = get_domain_from_id(original_ev.sender)
|
|
|
|
if get_domain_from_id(redaction_event.sender) == expected_domain:
|
|
|
|
# This redaction event is allowed. Mark as not needing a recheck.
|
|
|
|
redaction_event.internal_metadata.recheck_redaction = False
|
|
|
|
else:
|
|
|
|
# Senders don't match, so the event isn't actually redacted
|
2019-07-24 23:44:39 +02:00
|
|
|
logger.debug(
|
|
|
|
"%s was redacted by %s but the senders don't match",
|
|
|
|
original_ev.event_id,
|
|
|
|
redaction_id,
|
|
|
|
)
|
2019-07-17 17:52:02 +02:00
|
|
|
continue
|
|
|
|
|
2019-07-24 23:44:39 +02:00
|
|
|
logger.debug("Redacting %s due to %s", original_ev.event_id, redaction_id)
|
|
|
|
|
2019-07-17 17:52:02 +02:00
|
|
|
# we found a good redaction event. Redact!
|
|
|
|
redacted_event = prune_event(original_ev)
|
|
|
|
redacted_event.unsigned["redacted_by"] = redaction_id
|
|
|
|
|
|
|
|
# It's fine to add the event directly, since get_pdu_json
|
|
|
|
# will serialise this field correctly
|
|
|
|
redacted_event.unsigned["redacted_because"] = redaction_event
|
|
|
|
|
|
|
|
return redacted_event
|
|
|
|
|
|
|
|
# no valid redaction found for this event
|
|
|
|
return None
|
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def have_events_in_timeline(self, event_ids):
|
2018-07-26 14:31:59 +02:00
|
|
|
"""Given a list of event ids, check if we have already processed and
|
|
|
|
stored them as non outliers.
|
|
|
|
"""
|
2020-08-18 22:20:49 +02:00
|
|
|
rows = await self.db_pool.simple_select_many_batch(
|
|
|
|
table="events",
|
|
|
|
retcols=("event_id",),
|
|
|
|
column="event_id",
|
|
|
|
iterable=list(event_ids),
|
|
|
|
keyvalues={"outlier": False},
|
|
|
|
desc="have_events_in_timeline",
|
2018-07-26 14:31:59 +02:00
|
|
|
)
|
|
|
|
|
2020-02-21 13:15:07 +01:00
|
|
|
return {r["event_id"] for r in rows}
|
2018-07-26 14:31:59 +02:00
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def have_seen_events(self, event_ids):
|
2018-07-26 14:31:59 +02:00
|
|
|
"""Given a list of event ids, check if we have already processed them.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
event_ids (iterable[str]):
|
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
set[str]: The events we have already seen.
|
2018-07-26 14:31:59 +02:00
|
|
|
"""
|
|
|
|
results = set()
|
|
|
|
|
|
|
|
def have_seen_events_txn(txn, chunk):
|
2019-10-02 20:07:07 +02:00
|
|
|
sql = "SELECT event_id FROM events as e WHERE "
|
|
|
|
clause, args = make_in_list_sql_clause(
|
|
|
|
txn.database_engine, "e.event_id", chunk
|
2018-07-26 14:31:59 +02:00
|
|
|
)
|
2019-10-02 20:07:07 +02:00
|
|
|
txn.execute(sql + clause, args)
|
2019-04-03 11:07:29 +02:00
|
|
|
for (event_id,) in txn:
|
2018-07-26 14:31:59 +02:00
|
|
|
results.add(event_id)
|
|
|
|
|
|
|
|
# break the input up into chunks of 100
|
|
|
|
input_iterator = iter(event_ids)
|
2019-04-03 11:07:29 +02:00
|
|
|
for chunk in iter(lambda: list(itertools.islice(input_iterator, 100)), []):
|
2020-08-18 22:20:49 +02:00
|
|
|
await self.db_pool.runInteraction(
|
2019-12-04 14:52:46 +01:00
|
|
|
"have_seen_events", have_seen_events_txn, chunk
|
|
|
|
)
|
2019-07-23 15:00:55 +02:00
|
|
|
return results
|
2018-07-26 14:31:59 +02:00
|
|
|
|
2019-05-29 17:47:16 +02:00
|
|
|
def _get_current_state_event_counts_txn(self, txn, room_id):
|
|
|
|
"""
|
|
|
|
See get_current_state_event_counts.
|
|
|
|
"""
|
|
|
|
sql = "SELECT COUNT(*) FROM current_state_events WHERE room_id=?"
|
|
|
|
txn.execute(sql, (room_id,))
|
|
|
|
row = txn.fetchone()
|
|
|
|
return row[0] if row else 0
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
async def get_current_state_event_counts(self, room_id: str) -> int:
|
2019-05-29 17:47:16 +02:00
|
|
|
"""
|
|
|
|
Gets the current number of state events in a room.
|
|
|
|
|
|
|
|
Args:
|
2020-09-01 15:21:48 +02:00
|
|
|
room_id: The room ID to query.
|
2019-05-29 17:47:16 +02:00
|
|
|
|
|
|
|
Returns:
|
2020-09-01 15:21:48 +02:00
|
|
|
The current number of state events.
|
2019-05-29 17:47:16 +02:00
|
|
|
"""
|
2020-09-01 15:21:48 +02:00
|
|
|
return await self.db_pool.runInteraction(
|
2019-05-29 17:47:16 +02:00
|
|
|
"get_current_state_event_counts",
|
2019-06-20 11:32:02 +02:00
|
|
|
self._get_current_state_event_counts_txn,
|
|
|
|
room_id,
|
2019-05-29 17:47:16 +02:00
|
|
|
)
|
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
async def get_room_complexity(self, room_id):
|
2019-05-29 17:47:16 +02:00
|
|
|
"""
|
|
|
|
Get a rough approximation of the complexity of the room. This is used by
|
|
|
|
remote servers to decide whether they wish to join the room or not.
|
|
|
|
Higher complexity value indicates that being in the room will consume
|
|
|
|
more resources.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
room_id (str)
|
|
|
|
|
|
|
|
Returns:
|
2020-08-18 22:20:49 +02:00
|
|
|
dict[str:int] of complexity version to complexity.
|
2019-05-29 17:47:16 +02:00
|
|
|
"""
|
2020-08-18 22:20:49 +02:00
|
|
|
state_events = await self.get_current_state_event_counts(room_id)
|
2019-05-29 17:47:16 +02:00
|
|
|
|
|
|
|
# Call this one "v1", so we can introduce new ones as we want to develop
|
|
|
|
# it.
|
|
|
|
complexity_v1 = round(state_events / 500, 2)
|
|
|
|
|
2019-07-23 15:00:55 +02:00
|
|
|
return {"v1": complexity_v1}
|
2020-03-25 15:54:01 +01:00
|
|
|
|
|
|
|
def get_current_events_token(self):
|
|
|
|
"""The current maximum token that events have reached"""
|
|
|
|
return self._stream_id_gen.get_current_token()
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
async def get_all_new_forward_event_rows(
|
2020-10-09 14:10:33 +02:00
|
|
|
self, instance_name: str, last_id: int, current_id: int, limit: int
|
2020-09-01 15:21:48 +02:00
|
|
|
) -> List[Tuple]:
|
2020-04-23 19:19:08 +02:00
|
|
|
"""Returns new events, for the Events replication stream
|
|
|
|
|
|
|
|
Args:
|
|
|
|
last_id: the last stream_id from the previous batch.
|
|
|
|
current_id: the maximum stream_id to return up to
|
|
|
|
limit: the maximum number of rows to return
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
Returns:
|
2020-04-23 19:19:08 +02:00
|
|
|
a list of events stream rows. Each tuple consists of a stream id as
|
|
|
|
the first element, followed by fields suitable for casting into an
|
|
|
|
EventsStreamRow.
|
|
|
|
"""
|
2020-03-25 15:54:01 +01:00
|
|
|
|
|
|
|
def get_all_new_forward_event_rows(txn):
|
|
|
|
sql = (
|
|
|
|
"SELECT e.stream_ordering, e.event_id, e.room_id, e.type,"
|
2020-10-28 13:11:45 +01:00
|
|
|
" state_key, redacts, relates_to_id, membership, rejections.reason IS NOT NULL"
|
2020-03-25 15:54:01 +01:00
|
|
|
" FROM events AS e"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
2020-10-28 13:11:45 +01:00
|
|
|
" LEFT JOIN room_memberships USING (event_id)"
|
|
|
|
" LEFT JOIN rejections USING (event_id)"
|
2020-03-25 15:54:01 +01:00
|
|
|
" WHERE ? < stream_ordering AND stream_ordering <= ?"
|
2020-10-09 14:10:33 +02:00
|
|
|
" AND instance_name = ?"
|
2020-03-25 15:54:01 +01:00
|
|
|
" ORDER BY stream_ordering ASC"
|
|
|
|
" LIMIT ?"
|
|
|
|
)
|
2020-10-09 14:10:33 +02:00
|
|
|
txn.execute(sql, (last_id, current_id, instance_name, limit))
|
2020-04-23 19:19:08 +02:00
|
|
|
return txn.fetchall()
|
2020-03-25 15:54:01 +01:00
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
return await self.db_pool.runInteraction(
|
2020-04-23 19:19:08 +02:00
|
|
|
"get_all_new_forward_event_rows", get_all_new_forward_event_rows
|
|
|
|
)
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
async def get_ex_outlier_stream_rows(
|
2020-10-09 14:10:33 +02:00
|
|
|
self, instance_name: str, last_id: int, current_id: int
|
2020-09-01 15:21:48 +02:00
|
|
|
) -> List[Tuple]:
|
2020-04-23 19:19:08 +02:00
|
|
|
"""Returns de-outliered events, for the Events replication stream
|
|
|
|
|
|
|
|
Args:
|
|
|
|
last_id: the last stream_id from the previous batch.
|
|
|
|
current_id: the maximum stream_id to return up to
|
2020-03-25 15:54:01 +01:00
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
Returns:
|
2020-04-23 19:19:08 +02:00
|
|
|
a list of events stream rows. Each tuple consists of a stream id as
|
|
|
|
the first element, followed by fields suitable for casting into an
|
|
|
|
EventsStreamRow.
|
|
|
|
"""
|
|
|
|
|
|
|
|
def get_ex_outlier_stream_rows_txn(txn):
|
2020-03-25 15:54:01 +01:00
|
|
|
sql = (
|
|
|
|
"SELECT event_stream_ordering, e.event_id, e.room_id, e.type,"
|
2020-10-28 13:11:45 +01:00
|
|
|
" state_key, redacts, relates_to_id, membership, rejections.reason IS NOT NULL"
|
2020-03-25 15:54:01 +01:00
|
|
|
" FROM events AS e"
|
2020-10-09 14:10:33 +02:00
|
|
|
" INNER JOIN ex_outlier_stream AS out USING (event_id)"
|
2020-03-25 15:54:01 +01:00
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
2020-10-28 13:11:45 +01:00
|
|
|
" LEFT JOIN room_memberships USING (event_id)"
|
|
|
|
" LEFT JOIN rejections USING (event_id)"
|
2020-03-25 15:54:01 +01:00
|
|
|
" WHERE ? < event_stream_ordering"
|
|
|
|
" AND event_stream_ordering <= ?"
|
2020-10-09 14:10:33 +02:00
|
|
|
" AND out.instance_name = ?"
|
2020-04-23 19:19:08 +02:00
|
|
|
" ORDER BY event_stream_ordering ASC"
|
2020-03-25 15:54:01 +01:00
|
|
|
)
|
|
|
|
|
2020-10-09 14:10:33 +02:00
|
|
|
txn.execute(sql, (last_id, current_id, instance_name))
|
2020-04-23 19:19:08 +02:00
|
|
|
return txn.fetchall()
|
2020-03-25 15:54:01 +01:00
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
return await self.db_pool.runInteraction(
|
2020-04-23 19:19:08 +02:00
|
|
|
"get_ex_outlier_stream_rows", get_ex_outlier_stream_rows_txn
|
2020-03-25 15:54:01 +01:00
|
|
|
)
|
|
|
|
|
2020-06-16 18:10:28 +02:00
|
|
|
async def get_all_new_backfill_event_rows(
|
|
|
|
self, instance_name: str, last_id: int, current_id: int, limit: int
|
|
|
|
) -> Tuple[List[Tuple[int, list]], int, bool]:
|
|
|
|
"""Get updates for backfill replication stream, including all new
|
|
|
|
backfilled events and events that have gone from being outliers to not.
|
|
|
|
|
2020-10-09 14:10:33 +02:00
|
|
|
NOTE: The IDs given here are from replication, and so should be
|
|
|
|
*positive*.
|
|
|
|
|
2020-06-16 18:10:28 +02:00
|
|
|
Args:
|
|
|
|
instance_name: The writer we want to fetch updates from. Unused
|
|
|
|
here since there is only ever one writer.
|
|
|
|
last_id: The token to fetch updates from. Exclusive.
|
|
|
|
current_id: The token to fetch updates up to. Inclusive.
|
|
|
|
limit: The requested limit for the number of rows to return. The
|
|
|
|
function may return more or fewer rows.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
A tuple consisting of: the updates, a token to use to fetch
|
|
|
|
subsequent updates, and whether we returned fewer rows than exists
|
|
|
|
between the requested tokens due to the limit.
|
|
|
|
|
|
|
|
The token returned can be used in a subsequent call to this
|
|
|
|
function to get further updatees.
|
|
|
|
|
|
|
|
The updates are a list of 2-tuples of stream ID and the row data
|
|
|
|
"""
|
2020-03-25 15:54:01 +01:00
|
|
|
if last_id == current_id:
|
2020-06-16 18:10:28 +02:00
|
|
|
return [], current_id, False
|
2020-03-25 15:54:01 +01:00
|
|
|
|
|
|
|
def get_all_new_backfill_event_rows(txn):
|
|
|
|
sql = (
|
|
|
|
"SELECT -e.stream_ordering, e.event_id, e.room_id, e.type,"
|
|
|
|
" state_key, redacts, relates_to_id"
|
|
|
|
" FROM events AS e"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
|
|
|
" WHERE ? > stream_ordering AND stream_ordering >= ?"
|
2020-10-09 14:10:33 +02:00
|
|
|
" AND instance_name = ?"
|
2020-03-25 15:54:01 +01:00
|
|
|
" ORDER BY stream_ordering ASC"
|
|
|
|
" LIMIT ?"
|
|
|
|
)
|
2020-10-09 14:10:33 +02:00
|
|
|
txn.execute(sql, (-last_id, -current_id, instance_name, limit))
|
2020-06-16 18:10:28 +02:00
|
|
|
new_event_updates = [(row[0], row[1:]) for row in txn]
|
2020-03-25 15:54:01 +01:00
|
|
|
|
2020-06-16 18:10:28 +02:00
|
|
|
limited = False
|
2020-03-25 15:54:01 +01:00
|
|
|
if len(new_event_updates) == limit:
|
|
|
|
upper_bound = new_event_updates[-1][0]
|
2020-06-16 18:10:28 +02:00
|
|
|
limited = True
|
2020-03-25 15:54:01 +01:00
|
|
|
else:
|
|
|
|
upper_bound = current_id
|
|
|
|
|
|
|
|
sql = (
|
|
|
|
"SELECT -event_stream_ordering, e.event_id, e.room_id, e.type,"
|
|
|
|
" state_key, redacts, relates_to_id"
|
|
|
|
" FROM events AS e"
|
2020-10-09 14:10:33 +02:00
|
|
|
" INNER JOIN ex_outlier_stream AS out USING (event_id)"
|
2020-03-25 15:54:01 +01:00
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
|
|
|
" WHERE ? > event_stream_ordering"
|
|
|
|
" AND event_stream_ordering >= ?"
|
2020-10-09 14:10:33 +02:00
|
|
|
" AND out.instance_name = ?"
|
2020-03-25 15:54:01 +01:00
|
|
|
" ORDER BY event_stream_ordering DESC"
|
|
|
|
)
|
2020-10-09 14:10:33 +02:00
|
|
|
txn.execute(sql, (-last_id, -upper_bound, instance_name))
|
2020-06-16 18:10:28 +02:00
|
|
|
new_event_updates.extend((row[0], row[1:]) for row in txn)
|
2020-03-25 15:54:01 +01:00
|
|
|
|
2020-06-16 18:10:28 +02:00
|
|
|
if len(new_event_updates) >= limit:
|
|
|
|
upper_bound = new_event_updates[-1][0]
|
|
|
|
limited = True
|
2020-03-25 15:54:01 +01:00
|
|
|
|
2020-06-16 18:10:28 +02:00
|
|
|
return new_event_updates, upper_bound, limited
|
|
|
|
|
2020-08-05 22:38:57 +02:00
|
|
|
return await self.db_pool.runInteraction(
|
2020-03-25 15:54:01 +01:00
|
|
|
"get_all_new_backfill_event_rows", get_all_new_backfill_event_rows
|
|
|
|
)
|
|
|
|
|
2020-04-29 13:30:36 +02:00
|
|
|
async def get_all_updated_current_state_deltas(
|
2020-10-09 14:10:33 +02:00
|
|
|
self, instance_name: str, from_token: int, to_token: int, target_row_count: int
|
2020-04-29 13:30:36 +02:00
|
|
|
) -> Tuple[List[Tuple], int, bool]:
|
|
|
|
"""Fetch updates from current_state_delta_stream
|
|
|
|
|
|
|
|
Args:
|
|
|
|
from_token: The previous stream token. Updates from this stream id will
|
|
|
|
be excluded.
|
|
|
|
|
|
|
|
to_token: The current stream token (ie the upper limit). Updates up to this
|
|
|
|
stream id will be included (modulo the 'limit' param)
|
|
|
|
|
|
|
|
target_row_count: The number of rows to try to return. If more rows are
|
|
|
|
available, we will set 'limited' in the result. In the event of a large
|
|
|
|
batch, we may return more rows than this.
|
|
|
|
Returns:
|
|
|
|
A triplet `(updates, new_last_token, limited)`, where:
|
|
|
|
* `updates` is a list of database tuples.
|
|
|
|
* `new_last_token` is the new position in stream.
|
|
|
|
* `limited` is whether there are more updates to fetch.
|
|
|
|
"""
|
|
|
|
|
2020-03-25 15:54:01 +01:00
|
|
|
def get_all_updated_current_state_deltas_txn(txn):
|
|
|
|
sql = """
|
|
|
|
SELECT stream_id, room_id, type, state_key, event_id
|
|
|
|
FROM current_state_delta_stream
|
|
|
|
WHERE ? < stream_id AND stream_id <= ?
|
2020-10-09 14:10:33 +02:00
|
|
|
AND instance_name = ?
|
2020-03-25 15:54:01 +01:00
|
|
|
ORDER BY stream_id ASC LIMIT ?
|
|
|
|
"""
|
2020-10-09 14:10:33 +02:00
|
|
|
txn.execute(sql, (from_token, to_token, instance_name, target_row_count))
|
2020-03-25 15:54:01 +01:00
|
|
|
return txn.fetchall()
|
|
|
|
|
2020-04-29 13:30:36 +02:00
|
|
|
def get_deltas_for_stream_id_txn(txn, stream_id):
|
|
|
|
sql = """
|
|
|
|
SELECT stream_id, room_id, type, state_key, event_id
|
|
|
|
FROM current_state_delta_stream
|
|
|
|
WHERE stream_id = ?
|
|
|
|
"""
|
|
|
|
txn.execute(sql, [stream_id])
|
|
|
|
return txn.fetchall()
|
|
|
|
|
|
|
|
# we need to make sure that, for every stream id in the results, we get *all*
|
|
|
|
# the rows with that stream id.
|
|
|
|
|
2020-08-05 22:38:57 +02:00
|
|
|
rows = await self.db_pool.runInteraction(
|
2020-03-25 15:54:01 +01:00
|
|
|
"get_all_updated_current_state_deltas",
|
|
|
|
get_all_updated_current_state_deltas_txn,
|
2020-04-29 13:30:36 +02:00
|
|
|
) # type: List[Tuple]
|
|
|
|
|
|
|
|
# if we've got fewer rows than the limit, we're good
|
|
|
|
if len(rows) < target_row_count:
|
|
|
|
return rows, to_token, False
|
|
|
|
|
|
|
|
# we hit the limit, so reduce the upper limit so that we exclude the stream id
|
|
|
|
# of the last row in the result.
|
|
|
|
assert rows[-1][0] <= to_token
|
|
|
|
to_token = rows[-1][0] - 1
|
|
|
|
|
|
|
|
# search backwards through the list for the point to truncate
|
|
|
|
for idx in range(len(rows) - 1, 0, -1):
|
|
|
|
if rows[idx - 1][0] <= to_token:
|
|
|
|
return rows[:idx], to_token, True
|
|
|
|
|
|
|
|
# bother. We didn't get a full set of changes for even a single
|
|
|
|
# stream id. let's run the query again, without a row limit, but for
|
|
|
|
# just one stream id.
|
|
|
|
to_token += 1
|
2020-08-05 22:38:57 +02:00
|
|
|
rows = await self.db_pool.runInteraction(
|
2020-04-29 13:30:36 +02:00
|
|
|
"get_deltas_for_stream_id", get_deltas_for_stream_id_txn, to_token
|
2020-03-25 15:54:01 +01:00
|
|
|
)
|
2020-05-13 14:38:22 +02:00
|
|
|
|
2020-04-29 13:30:36 +02:00
|
|
|
return rows, to_token, True
|
2020-05-13 14:38:22 +02:00
|
|
|
|
|
|
|
async def is_event_after(self, event_id1, event_id2):
|
2021-02-16 23:32:34 +01:00
|
|
|
"""Returns True if event_id1 is after event_id2 in the stream"""
|
2020-05-22 15:21:54 +02:00
|
|
|
to_1, so_1 = await self.get_event_ordering(event_id1)
|
|
|
|
to_2, so_2 = await self.get_event_ordering(event_id2)
|
2020-05-13 14:38:22 +02:00
|
|
|
return (to_1, so_1) > (to_2, so_2)
|
|
|
|
|
2020-08-18 22:20:49 +02:00
|
|
|
@cached(max_entries=5000)
|
|
|
|
async def get_event_ordering(self, event_id):
|
|
|
|
res = await self.db_pool.simple_select_one(
|
2020-05-13 14:38:22 +02:00
|
|
|
table="events",
|
|
|
|
retcols=["topological_ordering", "stream_ordering"],
|
|
|
|
keyvalues={"event_id": event_id},
|
|
|
|
allow_none=True,
|
|
|
|
)
|
|
|
|
|
|
|
|
if not res:
|
|
|
|
raise SynapseError(404, "Could not find event %s" % (event_id,))
|
|
|
|
|
|
|
|
return (int(res["topological_ordering"]), int(res["stream_ordering"]))
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
async def get_next_event_to_expire(self) -> Optional[Tuple[str, int]]:
|
2020-05-13 14:38:22 +02:00
|
|
|
"""Retrieve the entry with the lowest expiry timestamp in the event_expiry
|
|
|
|
table, or None if there's no more event to expire.
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
Returns:
|
2020-05-13 14:38:22 +02:00
|
|
|
A tuple containing the event ID as its first element and an expiry timestamp
|
|
|
|
as its second one, if there's at least one row in the event_expiry table.
|
|
|
|
None otherwise.
|
|
|
|
"""
|
|
|
|
|
|
|
|
def get_next_event_to_expire_txn(txn):
|
|
|
|
txn.execute(
|
|
|
|
"""
|
|
|
|
SELECT event_id, expiry_ts FROM event_expiry
|
|
|
|
ORDER BY expiry_ts ASC LIMIT 1
|
|
|
|
"""
|
|
|
|
)
|
|
|
|
|
|
|
|
return txn.fetchone()
|
|
|
|
|
2020-09-01 15:21:48 +02:00
|
|
|
return await self.db_pool.runInteraction(
|
2020-05-13 14:38:22 +02:00
|
|
|
desc="get_next_event_to_expire", func=get_next_event_to_expire_txn
|
|
|
|
)
|
2020-10-13 13:07:56 +02:00
|
|
|
|
|
|
|
async def get_event_id_from_transaction_id(
|
|
|
|
self, room_id: str, user_id: str, token_id: int, txn_id: str
|
|
|
|
) -> Optional[str]:
|
|
|
|
"""Look up if we have already persisted an event for the transaction ID,
|
|
|
|
returning the event ID if so.
|
|
|
|
"""
|
|
|
|
return await self.db_pool.simple_select_one_onecol(
|
|
|
|
table="event_txn_id",
|
|
|
|
keyvalues={
|
|
|
|
"room_id": room_id,
|
|
|
|
"user_id": user_id,
|
|
|
|
"token_id": token_id,
|
|
|
|
"txn_id": txn_id,
|
|
|
|
},
|
|
|
|
retcol="event_id",
|
|
|
|
allow_none=True,
|
|
|
|
desc="get_event_id_from_transaction_id",
|
|
|
|
)
|
|
|
|
|
|
|
|
async def get_already_persisted_events(
|
|
|
|
self, events: Iterable[EventBase]
|
|
|
|
) -> Dict[str, str]:
|
|
|
|
"""Look up if we have already persisted an event for the transaction ID,
|
|
|
|
returning a mapping from event ID in the given list to the event ID of
|
|
|
|
an existing event.
|
|
|
|
|
|
|
|
Also checks if there are duplicates in the given events, if there are
|
|
|
|
will map duplicates to the *first* event.
|
|
|
|
"""
|
|
|
|
|
|
|
|
mapping = {}
|
|
|
|
txn_id_to_event = {} # type: Dict[Tuple[str, int, str], str]
|
|
|
|
|
|
|
|
for event in events:
|
|
|
|
token_id = getattr(event.internal_metadata, "token_id", None)
|
|
|
|
txn_id = getattr(event.internal_metadata, "txn_id", None)
|
|
|
|
|
|
|
|
if token_id and txn_id:
|
|
|
|
# Check if this is a duplicate of an event in the given events.
|
|
|
|
existing = txn_id_to_event.get((event.room_id, token_id, txn_id))
|
|
|
|
if existing:
|
|
|
|
mapping[event.event_id] = existing
|
|
|
|
continue
|
|
|
|
|
|
|
|
# Check if this is a duplicate of an event we've already
|
|
|
|
# persisted.
|
|
|
|
existing = await self.get_event_id_from_transaction_id(
|
|
|
|
event.room_id, event.sender, token_id, txn_id
|
|
|
|
)
|
|
|
|
if existing:
|
|
|
|
mapping[event.event_id] = existing
|
|
|
|
txn_id_to_event[(event.room_id, token_id, txn_id)] = existing
|
|
|
|
else:
|
|
|
|
txn_id_to_event[(event.room_id, token_id, txn_id)] = event.event_id
|
|
|
|
|
|
|
|
return mapping
|
|
|
|
|
2020-10-20 17:29:38 +02:00
|
|
|
@wrap_as_background_process("_cleanup_old_transaction_ids")
|
2020-10-13 13:07:56 +02:00
|
|
|
async def _cleanup_old_transaction_ids(self):
|
2021-02-16 23:32:34 +01:00
|
|
|
"""Cleans out transaction id mappings older than 24hrs."""
|
2020-10-13 13:07:56 +02:00
|
|
|
|
|
|
|
def _cleanup_old_transaction_ids_txn(txn):
|
|
|
|
sql = """
|
|
|
|
DELETE FROM event_txn_id
|
|
|
|
WHERE inserted_ts < ?
|
|
|
|
"""
|
|
|
|
one_day_ago = self._clock.time_msec() - 24 * 60 * 60 * 1000
|
|
|
|
txn.execute(sql, (one_day_ago,))
|
|
|
|
|
|
|
|
return await self.db_pool.runInteraction(
|
2021-02-16 23:32:34 +01:00
|
|
|
"_cleanup_old_transaction_ids",
|
|
|
|
_cleanup_old_transaction_ids_txn,
|
2020-10-13 13:07:56 +02:00
|
|
|
)
|