2015-03-20 09:52:56 -04:00
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# -*- coding: utf-8 -*-
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2016-01-06 23:26:29 -05:00
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# Copyright 2014-2016 OpenMarket Ltd
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2019-05-30 06:22:59 -04:00
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# Copyright 2018-2019 New Vector Ltd
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# Copyright 2019 The Matrix.org Foundation C.I.C.
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2015-03-20 09:52:56 -04:00
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2018-04-17 13:30:53 -04:00
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import itertools
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2018-03-29 17:57:28 -04:00
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import logging
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2019-06-13 08:40:52 -04:00
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from collections import Counter as c_counter, OrderedDict, deque, namedtuple
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2018-07-09 02:09:20 -04:00
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from functools import wraps
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2018-08-30 10:19:58 -04:00
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from six import iteritems, text_type
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2018-07-09 02:09:20 -04:00
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from six.moves import range
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2015-03-20 09:52:56 -04:00
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2018-06-28 09:49:57 -04:00
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from canonicaljson import json
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2019-06-17 11:20:20 -04:00
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from prometheus_client import Counter, Histogram
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2018-06-28 09:49:57 -04:00
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2018-02-23 06:01:21 -05:00
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from twisted.internet import defer
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2018-07-09 02:09:20 -04:00
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import synapse.metrics
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from synapse.api.constants import EventTypes
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from synapse.api.errors import SynapseError
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from synapse.events import EventBase # noqa: F401
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from synapse.events.snapshot import EventContext # noqa: F401
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2019-07-03 10:07:04 -04:00
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from synapse.logging.context import PreserveLoggingContext, make_deferred_yieldable
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from synapse.logging.utils import log_function
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2019-06-13 08:40:52 -04:00
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from synapse.metrics import BucketCollector
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2018-07-18 09:35:24 -04:00
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from synapse.metrics.background_process_metrics import run_as_background_process
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2018-09-03 10:13:17 -04:00
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from synapse.state import StateResolutionStore
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2018-07-31 08:11:04 -04:00
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from synapse.storage.background_updates import BackgroundUpdateStore
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2018-07-26 07:48:51 -04:00
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from synapse.storage.event_federation import EventFederationStore
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2018-03-29 17:57:28 -04:00
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from synapse.storage.events_worker import EventsWorkerStore
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2018-10-12 15:43:18 -04:00
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from synapse.storage.state import StateGroupWorkerStore
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2018-07-09 02:09:20 -04:00
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from synapse.types import RoomStreamToken, get_domain_from_id
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2018-10-02 18:33:29 -04:00
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from synapse.util import batch_iter
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2018-08-10 09:50:21 -04:00
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from synapse.util.async_helpers import ObservableDeferred
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from synapse.util.caches.descriptors import cached, cachedInlineCallbacks
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from synapse.util.frozenutils import frozendict_json_encoder
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from synapse.util.metrics import Measure
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2018-05-21 20:48:57 -04:00
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logger = logging.getLogger(__name__)
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2015-03-20 09:52:56 -04:00
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2018-05-21 20:48:57 -04:00
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persist_event_counter = Counter("synapse_storage_events_persisted_events", "")
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event_counter = Counter(
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"synapse_storage_events_persisted_events_sep",
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"",
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["type", "origin_type", "origin_entity"],
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)
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2018-03-27 08:13:38 -04:00
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# The number of times we are recalculating the current state
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state_delta_counter = Counter("synapse_storage_events_state_delta", "")
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2018-03-27 08:13:38 -04:00
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# The number of times we are recalculating state when there is only a
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# single forward extremity
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state_delta_single_event_counter = Counter(
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"synapse_storage_events_state_delta_single_event", ""
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)
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2018-05-21 20:48:57 -04:00
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2018-03-27 08:13:38 -04:00
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# The number of times we are reculating state when we could have resonably
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# calculated the delta when we calculated the state for an event we were
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# persisting.
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state_delta_reuse_delta_counter = Counter(
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"synapse_storage_events_state_delta_reuse_delta", ""
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)
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2016-06-06 06:58:09 -04:00
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2019-06-17 11:20:20 -04:00
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# The number of forward extremities for each new event.
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forward_extremities_counter = Histogram(
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"synapse_storage_events_forward_extremities_persisted",
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"Number of forward extremities for each new event",
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buckets=(1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
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)
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# The number of stale forward extremities for each new event. Stale extremities
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# are those that were in the previous set of extremities as well as the new.
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stale_forward_extremities_counter = Histogram(
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"synapse_storage_events_stale_forward_extremities_persisted",
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"Number of unchanged forward extremities for each new event",
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buckets=(0, 1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
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)
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2016-06-06 06:58:09 -04:00
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2015-08-24 11:17:38 -04:00
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def encode_json(json_object):
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"""
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Encode a Python object as JSON and return it in a Unicode string.
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"""
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out = frozendict_json_encoder.encode(json_object)
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if isinstance(out, bytes):
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out = out.decode("utf8")
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return out
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2016-11-15 06:22:29 -05:00
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2016-05-06 09:31:38 -04:00
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class _EventPeristenceQueue(object):
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"""Queues up events so that they can be persisted in bulk with only one
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concurrent transaction per room.
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"""
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2019-03-28 09:37:16 -04:00
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_EventPersistQueueItem = namedtuple(
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"_EventPersistQueueItem", ("events_and_contexts", "backfilled", "deferred")
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)
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def __init__(self):
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self._event_persist_queues = {}
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self._currently_persisting_rooms = set()
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2017-01-20 06:52:51 -05:00
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def add_to_queue(self, room_id, events_and_contexts, backfilled):
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"""Add events to the queue, with the given persist_event options.
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2017-03-17 07:51:13 -04:00
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2017-10-17 05:59:30 -04:00
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NB: due to the normal usage pattern of this method, it does *not*
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follow the synapse logcontext rules, and leaves the logcontext in
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place whether or not the returned deferred is ready.
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2017-03-17 07:51:13 -04:00
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Args:
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room_id (str):
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events_and_contexts (list[(EventBase, EventContext)]):
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backfilled (bool):
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Returns:
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defer.Deferred: a deferred which will resolve once the events are
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persisted. Runs its callbacks *without* a logcontext.
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"""
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queue = self._event_persist_queues.setdefault(room_id, deque())
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if queue:
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# if the last item in the queue has the same `backfilled` setting,
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# we can just add these new events to that item.
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end_item = queue[-1]
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if end_item.backfilled == backfilled:
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end_item.events_and_contexts.extend(events_and_contexts)
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return end_item.deferred.observe()
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2018-01-27 09:00:11 -05:00
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deferred = ObservableDeferred(defer.Deferred(), consumeErrors=True)
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2019-03-28 09:37:16 -04:00
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queue.append(
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self._EventPersistQueueItem(
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events_and_contexts=events_and_contexts,
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backfilled=backfilled,
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deferred=deferred,
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)
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)
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2016-05-06 09:31:38 -04:00
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return deferred.observe()
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2016-05-06 10:38:42 -04:00
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def handle_queue(self, room_id, per_item_callback):
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"""Attempts to handle the queue for a room if not already being handled.
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2017-10-17 05:59:30 -04:00
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The given callback will be invoked with for each item in the queue,
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of type _EventPersistQueueItem. The per_item_callback will continuously
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be called with new items, unless the queue becomnes empty. The return
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value of the function will be given to the deferreds waiting on the item,
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exceptions will be passed to the deferreds as well.
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This function should therefore be called whenever anything is added
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to the queue.
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If another callback is currently handling the queue then it will not be
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invoked.
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"""
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if room_id in self._currently_persisting_rooms:
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return
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self._currently_persisting_rooms.add(room_id)
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2016-05-06 10:38:42 -04:00
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@defer.inlineCallbacks
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def handle_queue_loop():
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try:
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queue = self._get_drainining_queue(room_id)
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for item in queue:
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try:
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ret = yield per_item_callback(item)
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except Exception:
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with PreserveLoggingContext():
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item.deferred.errback()
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else:
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2018-07-23 19:37:17 -04:00
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with PreserveLoggingContext():
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item.deferred.callback(ret)
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finally:
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queue = self._event_persist_queues.pop(room_id, None)
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if queue:
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self._event_persist_queues[room_id] = queue
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self._currently_persisting_rooms.discard(room_id)
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2018-07-18 09:35:24 -04:00
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# set handle_queue_loop off in the background
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run_as_background_process("persist_events", handle_queue_loop)
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def _get_drainining_queue(self, room_id):
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queue = self._event_persist_queues.setdefault(room_id, deque())
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try:
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while True:
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yield queue.popleft()
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except IndexError:
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# Queue has been drained.
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pass
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2016-06-03 12:55:32 -04:00
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_EventCacheEntry = namedtuple("_EventCacheEntry", ("event", "redacted_event"))
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2016-08-04 10:02:15 -04:00
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def _retry_on_integrity_error(func):
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"""Wraps a database function so that it gets retried on IntegrityError,
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with `delete_existing=True` passed in.
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Args:
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func: function that returns a Deferred and accepts a `delete_existing` arg
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"""
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2019-03-28 09:37:16 -04:00
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2016-08-04 10:02:15 -04:00
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@wraps(func)
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@defer.inlineCallbacks
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def f(self, *args, **kwargs):
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try:
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res = yield func(self, *args, **kwargs)
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except self.database_engine.module.IntegrityError:
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logger.exception("IntegrityError, retrying.")
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res = yield func(self, *args, delete_existing=True, **kwargs)
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defer.returnValue(res)
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return f
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2018-07-26 07:48:51 -04:00
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# inherits from EventFederationStore so that we can call _update_backward_extremities
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# and _handle_mult_prev_events (though arguably those could both be moved in here)
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class EventsStore(
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StateGroupWorkerStore,
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EventFederationStore,
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EventsWorkerStore,
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BackgroundUpdateStore,
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):
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2017-11-09 13:51:27 -05:00
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def __init__(self, db_conn, hs):
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super(EventsStore, self).__init__(db_conn, hs)
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2019-05-28 13:52:41 -04:00
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2016-05-06 09:31:38 -04:00
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self._event_persist_queue = _EventPeristenceQueue()
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self._state_resolution_handler = hs.get_state_resolution_handler()
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2019-06-13 08:40:52 -04:00
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# Collect metrics on the number of forward extremities that exist.
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2019-06-14 09:07:32 -04:00
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# Counter of number of extremities to count
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self._current_forward_extremities_amount = c_counter()
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2019-06-13 08:40:52 -04:00
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BucketCollector(
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"synapse_forward_extremities",
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lambda: self._current_forward_extremities_amount,
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buckets=[1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"],
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)
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# Read the extrems every 60 minutes
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def read_forward_extremities():
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# run as a background process to make sure that the database transactions
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# have a logcontext to report to
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return run_as_background_process(
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"read_forward_extremities", self._read_forward_extremities
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)
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hs.get_clock().looping_call(read_forward_extremities, 60 * 60 * 1000)
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@defer.inlineCallbacks
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def _read_forward_extremities(self):
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def fetch(txn):
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txn.execute(
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"""
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select count(*) c from event_forward_extremities
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group by room_id
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"""
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)
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return txn.fetchall()
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res = yield self.runInteraction("read_forward_extremities", fetch)
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self._current_forward_extremities_amount = c_counter(list(x[0] for x in res))
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2018-07-25 11:00:38 -04:00
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@defer.inlineCallbacks
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2016-03-31 10:00:42 -04:00
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def persist_events(self, events_and_contexts, backfilled=False):
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2016-04-06 10:42:15 -04:00
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"""
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Write events to the database
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Args:
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events_and_contexts: list of tuples of (event, context)
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2018-07-25 11:00:38 -04:00
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backfilled (bool): Whether the results are retrieved from federation
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via backfill or not. Used to determine if they're "new" events
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which might update the current state etc.
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Returns:
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2018-08-01 08:39:14 -04:00
|
|
|
Deferred[int]: the stream ordering of the latest persisted event
|
2016-05-06 09:31:38 -04:00
|
|
|
"""
|
|
|
|
partitioned = {}
|
|
|
|
for event, ctx in events_and_contexts:
|
|
|
|
partitioned.setdefault(event.room_id, []).append((event, ctx))
|
2016-04-06 10:42:15 -04:00
|
|
|
|
2016-05-06 09:31:38 -04:00
|
|
|
deferreds = []
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, evs_ctxs in iteritems(partitioned):
|
2017-10-17 05:59:30 -04:00
|
|
|
d = self._event_persist_queue.add_to_queue(
|
2019-03-28 09:37:16 -04:00
|
|
|
room_id, evs_ctxs, backfilled=backfilled
|
2016-05-06 09:31:38 -04:00
|
|
|
)
|
|
|
|
deferreds.append(d)
|
2016-04-06 10:42:15 -04:00
|
|
|
|
2017-03-24 06:57:02 -04:00
|
|
|
for room_id in partitioned:
|
2016-05-06 09:31:38 -04:00
|
|
|
self._maybe_start_persisting(room_id)
|
|
|
|
|
2018-07-25 11:00:38 -04:00
|
|
|
yield make_deferred_yieldable(
|
2016-08-23 10:23:39 -04:00
|
|
|
defer.gatherResults(deferreds, consumeErrors=True)
|
|
|
|
)
|
2016-05-06 09:31:38 -04:00
|
|
|
|
2018-07-25 11:00:38 -04:00
|
|
|
max_persisted_id = yield self._stream_id_gen.get_current_token()
|
|
|
|
|
|
|
|
defer.returnValue(max_persisted_id)
|
|
|
|
|
2016-05-06 09:31:38 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
@log_function
|
2017-01-20 06:52:51 -05:00
|
|
|
def persist_event(self, event, context, backfilled=False):
|
2017-03-17 07:51:13 -04:00
|
|
|
"""
|
|
|
|
|
|
|
|
Args:
|
|
|
|
event (EventBase):
|
|
|
|
context (EventContext):
|
|
|
|
backfilled (bool):
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred: resolves to (int, int): the stream ordering of ``event``,
|
|
|
|
and the stream ordering of the latest persisted event
|
|
|
|
"""
|
2016-05-06 09:31:38 -04:00
|
|
|
deferred = self._event_persist_queue.add_to_queue(
|
2019-03-28 09:37:16 -04:00
|
|
|
event.room_id, [(event, context)], backfilled=backfilled
|
2016-05-06 09:31:38 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
self._maybe_start_persisting(event.room_id)
|
|
|
|
|
2017-10-17 05:59:30 -04:00
|
|
|
yield make_deferred_yieldable(deferred)
|
2016-05-06 09:31:38 -04:00
|
|
|
|
|
|
|
max_persisted_id = yield self._stream_id_gen.get_current_token()
|
|
|
|
defer.returnValue((event.internal_metadata.stream_ordering, max_persisted_id))
|
|
|
|
|
|
|
|
def _maybe_start_persisting(self, room_id):
|
|
|
|
@defer.inlineCallbacks
|
2016-05-06 10:38:42 -04:00
|
|
|
def persisting_queue(item):
|
2018-03-13 05:57:54 -04:00
|
|
|
with Measure(self._clock, "persist_events"):
|
|
|
|
yield self._persist_events(
|
2019-03-28 09:37:16 -04:00
|
|
|
item.events_and_contexts, backfilled=item.backfilled
|
2018-03-13 05:57:54 -04:00
|
|
|
)
|
2016-05-06 09:31:38 -04:00
|
|
|
|
|
|
|
self._event_persist_queue.handle_queue(room_id, persisting_queue)
|
|
|
|
|
2016-08-04 10:02:15 -04:00
|
|
|
@_retry_on_integrity_error
|
2016-05-06 09:31:38 -04:00
|
|
|
@defer.inlineCallbacks
|
2019-03-28 09:37:16 -04:00
|
|
|
def _persist_events(
|
|
|
|
self, events_and_contexts, backfilled=False, delete_existing=False
|
|
|
|
):
|
2017-03-17 07:51:13 -04:00
|
|
|
"""Persist events to db
|
|
|
|
|
|
|
|
Args:
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]):
|
|
|
|
backfilled (bool):
|
|
|
|
delete_existing (bool):
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred: resolves when the events have been persisted
|
|
|
|
"""
|
2015-06-25 12:18:19 -04:00
|
|
|
if not events_and_contexts:
|
|
|
|
return
|
|
|
|
|
|
|
|
if backfilled:
|
2016-04-01 08:29:05 -04:00
|
|
|
stream_ordering_manager = self._backfill_id_gen.get_next_mult(
|
|
|
|
len(events_and_contexts)
|
|
|
|
)
|
2015-06-25 12:18:19 -04:00
|
|
|
else:
|
2016-03-01 09:32:56 -05:00
|
|
|
stream_ordering_manager = self._stream_id_gen.get_next_mult(
|
|
|
|
len(events_and_contexts)
|
2015-06-25 12:18:19 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
with stream_ordering_manager as stream_orderings:
|
2019-03-28 09:37:16 -04:00
|
|
|
for (event, context), stream in zip(events_and_contexts, stream_orderings):
|
2016-08-30 11:54:40 -04:00
|
|
|
event.internal_metadata.stream_ordering = stream
|
|
|
|
|
|
|
|
chunks = [
|
2019-03-28 09:37:16 -04:00
|
|
|
events_and_contexts[x : x + 100]
|
2018-05-31 05:03:47 -04:00
|
|
|
for x in range(0, len(events_and_contexts), 100)
|
2016-08-30 11:54:40 -04:00
|
|
|
]
|
|
|
|
|
|
|
|
for chunk in chunks:
|
|
|
|
# We can't easily parallelize these since different chunks
|
|
|
|
# might contain the same event. :(
|
2017-01-20 06:52:51 -05:00
|
|
|
|
2017-01-20 09:38:13 -05:00
|
|
|
# NB: Assumes that we are only persisting events for one room
|
|
|
|
# at a time.
|
2018-01-19 19:23:36 -05:00
|
|
|
|
|
|
|
# map room_id->list[event_ids] giving the new forward
|
|
|
|
# extremities in each room
|
2017-01-20 09:28:53 -05:00
|
|
|
new_forward_extremeties = {}
|
2018-01-19 19:23:36 -05:00
|
|
|
|
|
|
|
# map room_id->(type,state_key)->event_id tracking the full
|
2018-07-24 06:13:47 -04:00
|
|
|
# state in each room after adding these events.
|
|
|
|
# This is simply used to prefill the get_current_state_ids
|
|
|
|
# cache
|
2017-01-20 06:52:51 -05:00
|
|
|
current_state_for_room = {}
|
2018-01-19 19:23:36 -05:00
|
|
|
|
2018-07-24 06:59:16 -04:00
|
|
|
# map room_id->(to_delete, to_insert) where to_delete is a list
|
|
|
|
# of type/state keys to remove from current state, and to_insert
|
|
|
|
# is a map (type,key)->event_id giving the state delta in each
|
2018-01-19 19:23:36 -05:00
|
|
|
# room
|
|
|
|
state_delta_for_room = {}
|
|
|
|
|
2017-01-20 06:52:51 -05:00
|
|
|
if not backfilled:
|
2017-01-23 09:51:33 -05:00
|
|
|
with Measure(self._clock, "_calculate_state_and_extrem"):
|
|
|
|
# Work out the new "current state" for each room.
|
|
|
|
# We do this by working out what the new extremities are and then
|
|
|
|
# calculating the state from that.
|
|
|
|
events_by_room = {}
|
|
|
|
for event, context in chunk:
|
|
|
|
events_by_room.setdefault(event.room_id, []).append(
|
|
|
|
(event, context)
|
2017-01-20 06:52:51 -05:00
|
|
|
)
|
|
|
|
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, ev_ctx_rm in iteritems(events_by_room):
|
2017-01-23 09:51:33 -05:00
|
|
|
latest_event_ids = yield self.get_latest_event_ids_in_room(
|
|
|
|
room_id
|
|
|
|
)
|
2018-10-02 18:33:29 -04:00
|
|
|
new_latest_event_ids = yield self._calculate_new_extremities(
|
2017-02-08 09:48:06 -05:00
|
|
|
room_id, ev_ctx_rm, latest_event_ids
|
2017-01-23 09:51:33 -05:00
|
|
|
)
|
2017-01-20 06:52:51 -05:00
|
|
|
|
2018-03-27 05:30:03 -04:00
|
|
|
latest_event_ids = set(latest_event_ids)
|
|
|
|
if new_latest_event_ids == latest_event_ids:
|
2017-01-23 09:51:33 -05:00
|
|
|
# No change in extremities, so no change in state
|
|
|
|
continue
|
2017-01-20 06:52:51 -05:00
|
|
|
|
2018-10-02 18:33:29 -04:00
|
|
|
# there should always be at least one forward extremity.
|
|
|
|
# (except during the initial persistence of the send_join
|
|
|
|
# results, in which case there will be no existing
|
|
|
|
# extremities, so we'll `continue` above and skip this bit.)
|
|
|
|
assert new_latest_event_ids, "No forward extremities left!"
|
|
|
|
|
2017-01-23 09:51:33 -05:00
|
|
|
new_forward_extremeties[room_id] = new_latest_event_ids
|
|
|
|
|
2017-02-27 13:33:41 -05:00
|
|
|
len_1 = (
|
|
|
|
len(latest_event_ids) == 1
|
|
|
|
and len(new_latest_event_ids) == 1
|
|
|
|
)
|
|
|
|
if len_1:
|
2017-02-27 13:45:24 -05:00
|
|
|
all_single_prev_not_state = all(
|
2018-11-05 08:35:15 -05:00
|
|
|
len(event.prev_event_ids()) == 1
|
2017-02-27 13:33:41 -05:00
|
|
|
and not event.is_state()
|
|
|
|
for event, ctx in ev_ctx_rm
|
|
|
|
)
|
|
|
|
# Don't bother calculating state if they're just
|
|
|
|
# a long chain of single ancestor non-state events.
|
|
|
|
if all_single_prev_not_state:
|
|
|
|
continue
|
|
|
|
|
2018-03-27 05:30:03 -04:00
|
|
|
state_delta_counter.inc()
|
|
|
|
if len(new_latest_event_ids) == 1:
|
|
|
|
state_delta_single_event_counter.inc()
|
|
|
|
|
|
|
|
# This is a fairly handwavey check to see if we could
|
|
|
|
# have guessed what the delta would have been when
|
|
|
|
# processing one of these events.
|
|
|
|
# What we're interested in is if the latest extremities
|
|
|
|
# were the same when we created the event as they are
|
2018-03-27 08:30:39 -04:00
|
|
|
# now. When this server creates a new event (as opposed
|
|
|
|
# to receiving it over federation) it will use the
|
|
|
|
# forward extremities as the prev_events, so we can
|
|
|
|
# guess this by looking at the prev_events and checking
|
|
|
|
# if they match the current forward extremities.
|
2018-03-27 05:30:03 -04:00
|
|
|
for ev, _ in ev_ctx_rm:
|
2018-11-05 08:35:15 -05:00
|
|
|
prev_event_ids = set(ev.prev_event_ids())
|
2018-03-27 05:30:03 -04:00
|
|
|
if latest_event_ids == prev_event_ids:
|
|
|
|
state_delta_reuse_delta_counter.inc()
|
2018-03-27 08:13:46 -04:00
|
|
|
break
|
2018-03-27 05:30:03 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
logger.info("Calculating state delta for room %s", room_id)
|
2018-07-23 19:04:44 -04:00
|
|
|
with Measure(
|
2019-03-28 09:37:16 -04:00
|
|
|
self._clock, "persist_events.get_new_state_after_events"
|
2018-07-23 19:04:44 -04:00
|
|
|
):
|
2018-07-24 06:13:47 -04:00
|
|
|
res = yield self._get_new_state_after_events(
|
2018-07-23 18:48:19 -04:00
|
|
|
room_id,
|
|
|
|
ev_ctx_rm,
|
|
|
|
latest_event_ids,
|
|
|
|
new_latest_event_ids,
|
|
|
|
)
|
2018-07-24 06:13:47 -04:00
|
|
|
current_state, delta_ids = res
|
|
|
|
|
|
|
|
# If either are not None then there has been a change,
|
|
|
|
# and we need to work out the delta (or use that
|
|
|
|
# given)
|
|
|
|
if delta_ids is not None:
|
|
|
|
# If there is a delta we know that we've
|
|
|
|
# only added or replaced state, never
|
|
|
|
# removed keys entirely.
|
|
|
|
state_delta_for_room[room_id] = ([], delta_ids)
|
|
|
|
elif current_state is not None:
|
2018-07-23 19:04:44 -04:00
|
|
|
with Measure(
|
2019-03-28 09:37:16 -04:00
|
|
|
self._clock, "persist_events.calculate_state_delta"
|
2018-07-23 19:04:44 -04:00
|
|
|
):
|
2018-07-23 18:48:19 -04:00
|
|
|
delta = yield self._calculate_state_delta(
|
2019-03-28 09:37:16 -04:00
|
|
|
room_id, current_state
|
2018-07-23 18:48:19 -04:00
|
|
|
)
|
2018-07-24 06:13:47 -04:00
|
|
|
state_delta_for_room[room_id] = delta
|
|
|
|
|
|
|
|
# If we have the current_state then lets prefill
|
|
|
|
# the cache with it.
|
|
|
|
if current_state is not None:
|
|
|
|
current_state_for_room[room_id] = current_state
|
2017-01-20 06:52:51 -05:00
|
|
|
|
2016-08-30 11:54:40 -04:00
|
|
|
yield self.runInteraction(
|
|
|
|
"persist_events",
|
|
|
|
self._persist_events_txn,
|
|
|
|
events_and_contexts=chunk,
|
|
|
|
backfilled=backfilled,
|
|
|
|
delete_existing=delete_existing,
|
2018-01-19 19:23:36 -05:00
|
|
|
state_delta_for_room=state_delta_for_room,
|
2017-01-20 09:28:53 -05:00
|
|
|
new_forward_extremeties=new_forward_extremeties,
|
2016-08-30 11:54:40 -04:00
|
|
|
)
|
2018-05-21 20:48:57 -04:00
|
|
|
persist_event_counter.inc(len(chunk))
|
2018-08-07 05:00:03 -04:00
|
|
|
|
|
|
|
if not backfilled:
|
|
|
|
# backfilled events have negative stream orderings, so we don't
|
|
|
|
# want to set the event_persisted_position to that.
|
|
|
|
synapse.metrics.event_persisted_position.set(
|
2019-03-28 09:37:16 -04:00
|
|
|
chunk[-1][0].internal_metadata.stream_ordering
|
2018-08-07 05:00:03 -04:00
|
|
|
)
|
|
|
|
|
2017-05-02 06:36:11 -04:00
|
|
|
for event, context in chunk:
|
|
|
|
if context.app_service:
|
|
|
|
origin_type = "local"
|
|
|
|
origin_entity = context.app_service.id
|
|
|
|
elif self.hs.is_mine_id(event.sender):
|
|
|
|
origin_type = "local"
|
|
|
|
origin_entity = "*client*"
|
|
|
|
else:
|
|
|
|
origin_type = "remote"
|
|
|
|
origin_entity = get_domain_from_id(event.sender)
|
|
|
|
|
2018-05-21 20:48:57 -04:00
|
|
|
event_counter.labels(event.type, origin_type, origin_entity).inc()
|
2015-06-25 12:18:19 -04:00
|
|
|
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, new_state in iteritems(current_state_for_room):
|
2019-03-28 09:37:16 -04:00
|
|
|
self.get_current_state_ids.prefill((room_id,), new_state)
|
2017-05-02 05:40:31 -04:00
|
|
|
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, latest_event_ids in iteritems(new_forward_extremeties):
|
2017-06-29 10:38:48 -04:00
|
|
|
self.get_latest_event_ids_in_room.prefill(
|
2017-06-29 10:47:37 -04:00
|
|
|
(room_id,), list(latest_event_ids)
|
2017-06-29 10:38:48 -04:00
|
|
|
)
|
|
|
|
|
2017-01-20 09:28:53 -05:00
|
|
|
@defer.inlineCallbacks
|
2018-10-02 18:33:29 -04:00
|
|
|
def _calculate_new_extremities(self, room_id, event_contexts, latest_event_ids):
|
|
|
|
"""Calculates the new forward extremities for a room given events to
|
2017-01-20 09:38:13 -05:00
|
|
|
persist.
|
|
|
|
|
|
|
|
Assumes that we are only persisting events for one room at a time.
|
|
|
|
"""
|
2018-10-02 18:33:29 -04:00
|
|
|
|
|
|
|
# we're only interested in new events which aren't outliers and which aren't
|
|
|
|
# being rejected.
|
|
|
|
new_events = [
|
2019-03-28 09:37:16 -04:00
|
|
|
event
|
|
|
|
for event, ctx in event_contexts
|
|
|
|
if not event.internal_metadata.is_outlier()
|
|
|
|
and not ctx.rejected
|
2019-02-12 05:31:21 -05:00
|
|
|
and not event.internal_metadata.is_soft_failed()
|
2018-10-02 18:33:29 -04:00
|
|
|
]
|
|
|
|
|
2019-06-17 11:20:20 -04:00
|
|
|
latest_event_ids = set(latest_event_ids)
|
|
|
|
|
2018-10-02 18:33:29 -04:00
|
|
|
# start with the existing forward extremities
|
|
|
|
result = set(latest_event_ids)
|
|
|
|
|
|
|
|
# add all the new events to the list
|
2019-03-28 09:37:16 -04:00
|
|
|
result.update(event.event_id for event in new_events)
|
2018-10-02 18:33:29 -04:00
|
|
|
|
|
|
|
# Now remove all events which are prev_events of any of the new events
|
|
|
|
result.difference_update(
|
2019-03-28 09:37:16 -04:00
|
|
|
e_id for event in new_events for e_id in event.prev_event_ids()
|
2017-01-20 09:28:53 -05:00
|
|
|
)
|
|
|
|
|
2019-05-29 06:56:24 -04:00
|
|
|
# Remove any events which are prev_events of any existing events.
|
2018-10-02 18:33:29 -04:00
|
|
|
existing_prevs = yield self._get_events_which_are_prevs(result)
|
|
|
|
result.difference_update(existing_prevs)
|
2017-01-20 09:28:53 -05:00
|
|
|
|
2019-05-29 06:56:24 -04:00
|
|
|
# Finally handle the case where the new events have soft-failed prev
|
|
|
|
# events. If they do we need to remove them and their prev events,
|
|
|
|
# otherwise we end up with dangling extremities.
|
|
|
|
existing_prevs = yield self._get_prevs_before_rejected(
|
|
|
|
e_id for event in new_events for e_id in event.prev_event_ids()
|
|
|
|
)
|
|
|
|
result.difference_update(existing_prevs)
|
|
|
|
|
2019-06-17 11:20:20 -04:00
|
|
|
# We only update metrics for events that change forward extremities
|
|
|
|
# (e.g. we ignore backfill/outliers/etc)
|
|
|
|
if result != latest_event_ids:
|
|
|
|
forward_extremities_counter.observe(len(result))
|
2019-06-19 06:49:39 -04:00
|
|
|
stale = latest_event_ids & result
|
2019-06-17 11:20:20 -04:00
|
|
|
stale_forward_extremities_counter.observe(len(stale))
|
|
|
|
|
2018-10-02 18:33:29 -04:00
|
|
|
defer.returnValue(result)
|
2017-01-20 09:28:53 -05:00
|
|
|
|
2018-10-02 18:33:29 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def _get_events_which_are_prevs(self, event_ids):
|
|
|
|
"""Filter the supplied list of event_ids to get those which are prev_events of
|
2018-10-03 05:19:41 -04:00
|
|
|
existing (non-outlier/rejected) events.
|
2018-10-02 18:33:29 -04:00
|
|
|
|
|
|
|
Args:
|
|
|
|
event_ids (Iterable[str]): event ids to filter
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[List[str]]: filtered event ids
|
|
|
|
"""
|
|
|
|
results = []
|
|
|
|
|
2019-05-29 06:56:24 -04:00
|
|
|
def _get_events_which_are_prevs_txn(txn, batch):
|
2018-10-02 18:33:29 -04:00
|
|
|
sql = """
|
2019-05-21 11:10:54 -04:00
|
|
|
SELECT prev_event_id, internal_metadata
|
2018-10-02 18:33:29 -04:00
|
|
|
FROM event_edges
|
|
|
|
INNER JOIN events USING (event_id)
|
|
|
|
LEFT JOIN rejections USING (event_id)
|
2019-05-21 11:10:54 -04:00
|
|
|
LEFT JOIN event_json USING (event_id)
|
2018-10-02 18:33:29 -04:00
|
|
|
WHERE
|
|
|
|
prev_event_id IN (%s)
|
2018-10-03 05:19:41 -04:00
|
|
|
AND NOT events.outlier
|
2018-10-02 18:33:29 -04:00
|
|
|
AND rejections.event_id IS NULL
|
|
|
|
""" % (
|
|
|
|
",".join("?" for _ in batch),
|
|
|
|
)
|
2017-01-20 09:28:53 -05:00
|
|
|
|
2018-10-02 18:33:29 -04:00
|
|
|
txn.execute(sql, batch)
|
2019-06-13 08:40:52 -04:00
|
|
|
results.extend(r[0] for r in txn if not json.loads(r[1]).get("soft_failed"))
|
2018-10-02 18:33:29 -04:00
|
|
|
|
|
|
|
for chunk in batch_iter(event_ids, 100):
|
2019-05-29 06:56:24 -04:00
|
|
|
yield self.runInteraction(
|
2019-06-13 08:40:52 -04:00
|
|
|
"_get_events_which_are_prevs", _get_events_which_are_prevs_txn, chunk
|
2019-05-29 06:56:24 -04:00
|
|
|
)
|
2018-10-02 18:33:29 -04:00
|
|
|
|
|
|
|
defer.returnValue(results)
|
2017-01-20 09:28:53 -05:00
|
|
|
|
2019-05-29 06:56:24 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def _get_prevs_before_rejected(self, event_ids):
|
|
|
|
"""Get soft-failed ancestors to remove from the extremities.
|
|
|
|
|
|
|
|
Given a set of events, find all those that have been soft-failed or
|
|
|
|
rejected. Returns those soft failed/rejected events and their prev
|
|
|
|
events (whether soft-failed/rejected or not), and recurses up the
|
|
|
|
prev-event graph until it finds no more soft-failed/rejected events.
|
|
|
|
|
|
|
|
This is used to find extremities that are ancestors of new events, but
|
|
|
|
are separated by soft failed events.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
event_ids (Iterable[str]): Events to find prev events for. Note
|
|
|
|
that these must have already been persisted.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[set[str]]
|
|
|
|
"""
|
|
|
|
|
|
|
|
# The set of event_ids to return. This includes all soft-failed events
|
|
|
|
# and their prev events.
|
|
|
|
existing_prevs = set()
|
|
|
|
|
|
|
|
def _get_prevs_before_rejected_txn(txn, batch):
|
|
|
|
to_recursively_check = batch
|
|
|
|
|
|
|
|
while to_recursively_check:
|
|
|
|
sql = """
|
|
|
|
SELECT
|
|
|
|
event_id, prev_event_id, internal_metadata,
|
|
|
|
rejections.event_id IS NOT NULL
|
|
|
|
FROM event_edges
|
|
|
|
INNER JOIN events USING (event_id)
|
|
|
|
LEFT JOIN rejections USING (event_id)
|
|
|
|
LEFT JOIN event_json USING (event_id)
|
|
|
|
WHERE
|
|
|
|
event_id IN (%s)
|
|
|
|
AND NOT events.outlier
|
|
|
|
""" % (
|
|
|
|
",".join("?" for _ in to_recursively_check),
|
|
|
|
)
|
|
|
|
|
|
|
|
txn.execute(sql, to_recursively_check)
|
|
|
|
to_recursively_check = []
|
|
|
|
|
|
|
|
for event_id, prev_event_id, metadata, rejected in txn:
|
|
|
|
if prev_event_id in existing_prevs:
|
|
|
|
continue
|
|
|
|
|
|
|
|
soft_failed = json.loads(metadata).get("soft_failed")
|
|
|
|
if soft_failed or rejected:
|
|
|
|
to_recursively_check.append(prev_event_id)
|
|
|
|
existing_prevs.add(prev_event_id)
|
|
|
|
|
|
|
|
for chunk in batch_iter(event_ids, 100):
|
|
|
|
yield self.runInteraction(
|
2019-06-13 08:40:52 -04:00
|
|
|
"_get_prevs_before_rejected", _get_prevs_before_rejected_txn, chunk
|
2019-05-29 06:56:24 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
defer.returnValue(existing_prevs)
|
|
|
|
|
2017-01-23 09:51:33 -05:00
|
|
|
@defer.inlineCallbacks
|
2019-03-28 09:37:16 -04:00
|
|
|
def _get_new_state_after_events(
|
|
|
|
self, room_id, events_context, old_latest_event_ids, new_latest_event_ids
|
|
|
|
):
|
2018-01-19 12:43:40 -05:00
|
|
|
"""Calculate the current state dict after adding some new events to
|
|
|
|
a room
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2018-01-19 12:43:40 -05:00
|
|
|
Args:
|
2018-01-30 06:06:15 -05:00
|
|
|
room_id (str):
|
|
|
|
room to which the events are being added. Used for logging etc
|
|
|
|
|
2018-01-19 12:43:40 -05:00
|
|
|
events_context (list[(EventBase, EventContext)]):
|
|
|
|
events and contexts which are being added to the room
|
|
|
|
|
2018-02-16 06:16:29 -05:00
|
|
|
old_latest_event_ids (iterable[str]):
|
|
|
|
the old forward extremities for the room.
|
|
|
|
|
2018-01-19 12:43:40 -05:00
|
|
|
new_latest_event_ids (iterable[str]):
|
|
|
|
the new forward extremities for the room.
|
2017-01-23 09:51:33 -05:00
|
|
|
|
|
|
|
Returns:
|
2018-07-24 06:13:47 -04:00
|
|
|
Deferred[tuple[dict[(str,str), str]|None, dict[(str,str), str]|None]]:
|
|
|
|
Returns a tuple of two state maps, the first being the full new current
|
|
|
|
state and the second being the delta to the existing current state.
|
|
|
|
If both are None then there has been no change.
|
2018-07-24 10:12:50 -04:00
|
|
|
|
|
|
|
If there has been a change then we only return the delta if its
|
|
|
|
already been calculated. Conversely if we do know the delta then
|
|
|
|
the new current state is only returned if we've already calculated
|
|
|
|
it.
|
2017-01-23 09:51:33 -05:00
|
|
|
"""
|
2018-01-30 06:06:15 -05:00
|
|
|
# map from state_group to ((type, key) -> event_id) state map
|
2018-02-16 06:16:29 -05:00
|
|
|
state_groups_map = {}
|
2018-07-24 06:13:47 -04:00
|
|
|
|
2018-07-24 09:31:38 -04:00
|
|
|
# Map from (prev state group, new state group) -> delta state dict
|
2018-07-24 06:13:47 -04:00
|
|
|
state_group_deltas = {}
|
|
|
|
|
2018-02-16 06:16:29 -05:00
|
|
|
for ev, ctx in events_context:
|
|
|
|
if ctx.state_group is None:
|
2018-07-25 04:35:02 -04:00
|
|
|
# This should only happen for outlier events.
|
2018-07-25 04:48:01 -04:00
|
|
|
if not ev.internal_metadata.is_outlier():
|
2018-07-25 04:35:02 -04:00
|
|
|
raise Exception(
|
|
|
|
"Context for new event %s has no state "
|
2019-03-28 09:37:16 -04:00
|
|
|
"group" % (ev.event_id,)
|
2018-07-25 04:35:02 -04:00
|
|
|
)
|
2018-07-25 06:13:20 -04:00
|
|
|
continue
|
2018-02-16 06:16:29 -05:00
|
|
|
|
|
|
|
if ctx.state_group in state_groups_map:
|
|
|
|
continue
|
|
|
|
|
2018-07-23 12:43:01 -04:00
|
|
|
# We're only interested in pulling out state that has already
|
|
|
|
# been cached in the context. We'll pull stuff out of the DB later
|
|
|
|
# if necessary.
|
2018-07-23 12:21:40 -04:00
|
|
|
current_state_ids = ctx.get_cached_current_state_ids()
|
|
|
|
if current_state_ids is not None:
|
|
|
|
state_groups_map[ctx.state_group] = current_state_ids
|
2018-02-16 06:16:29 -05:00
|
|
|
|
2018-07-24 06:13:47 -04:00
|
|
|
if ctx.prev_group:
|
|
|
|
state_group_deltas[(ctx.prev_group, ctx.state_group)] = ctx.delta_ids
|
|
|
|
|
2018-05-03 05:38:08 -04:00
|
|
|
# We need to map the event_ids to their state groups. First, let's
|
|
|
|
# check if the event is one we're persisting, in which case we can
|
|
|
|
# pull the state group from its context.
|
2018-02-16 06:16:29 -05:00
|
|
|
# Otherwise we need to pull the state group from the database.
|
|
|
|
|
|
|
|
# Set of events we need to fetch groups for. (We know none of the old
|
|
|
|
# extremities are going to be in events_context).
|
|
|
|
missing_event_ids = set(old_latest_event_ids)
|
|
|
|
|
|
|
|
event_id_to_state_group = {}
|
2017-01-23 09:51:33 -05:00
|
|
|
for event_id in new_latest_event_ids:
|
2018-02-16 06:16:29 -05:00
|
|
|
# First search in the list of new events we're adding.
|
2017-01-23 09:51:33 -05:00
|
|
|
for ev, ctx in events_context:
|
2018-07-25 04:35:02 -04:00
|
|
|
if event_id == ev.event_id and ctx.state_group is not None:
|
2018-02-16 06:16:29 -05:00
|
|
|
event_id_to_state_group[event_id] = ctx.state_group
|
2017-01-23 09:51:33 -05:00
|
|
|
break
|
|
|
|
else:
|
|
|
|
# If we couldn't find it, then we'll need to pull
|
|
|
|
# the state from the database
|
2018-02-16 06:16:29 -05:00
|
|
|
missing_event_ids.add(event_id)
|
2018-01-30 05:17:55 -05:00
|
|
|
|
2017-01-23 09:51:33 -05:00
|
|
|
if missing_event_ids:
|
2018-02-16 06:16:29 -05:00
|
|
|
# Now pull out the state groups for any missing events from DB
|
2019-03-28 09:37:16 -04:00
|
|
|
event_to_groups = yield self._get_state_group_for_events(missing_event_ids)
|
2018-02-16 06:16:29 -05:00
|
|
|
event_id_to_state_group.update(event_to_groups)
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2018-02-16 06:16:29 -05:00
|
|
|
# State groups of old_latest_event_ids
|
|
|
|
old_state_groups = set(
|
|
|
|
event_id_to_state_group[evid] for evid in old_latest_event_ids
|
|
|
|
)
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2018-02-16 06:16:29 -05:00
|
|
|
# State groups of new_latest_event_ids
|
|
|
|
new_state_groups = set(
|
|
|
|
event_id_to_state_group[evid] for evid in new_latest_event_ids
|
|
|
|
)
|
|
|
|
|
|
|
|
# If they old and new groups are the same then we don't need to do
|
|
|
|
# anything.
|
|
|
|
if old_state_groups == new_state_groups:
|
2018-07-24 06:13:47 -04:00
|
|
|
defer.returnValue((None, None))
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2018-07-24 09:31:38 -04:00
|
|
|
if len(new_state_groups) == 1 and len(old_state_groups) == 1:
|
|
|
|
# If we're going from one state group to another, lets check if
|
|
|
|
# we have a delta for that transition. If we do then we can just
|
|
|
|
# return that.
|
2018-07-24 06:13:47 -04:00
|
|
|
|
2018-07-24 09:31:38 -04:00
|
|
|
new_state_group = next(iter(new_state_groups))
|
|
|
|
old_state_group = next(iter(old_state_groups))
|
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
delta_ids = state_group_deltas.get((old_state_group, new_state_group), None)
|
2018-07-24 09:31:38 -04:00
|
|
|
if delta_ids is not None:
|
|
|
|
# We have a delta from the existing to new current state,
|
|
|
|
# so lets just return that. If we happen to already have
|
|
|
|
# the current state in memory then lets also return that,
|
|
|
|
# but it doesn't matter if we don't.
|
|
|
|
new_state = state_groups_map.get(new_state_group)
|
|
|
|
defer.returnValue((new_state, delta_ids))
|
2018-07-24 06:13:47 -04:00
|
|
|
|
2018-07-24 08:40:42 -04:00
|
|
|
# Now that we have calculated new_state_groups we need to get
|
|
|
|
# their state IDs so we can resolve to a single state set.
|
|
|
|
missing_state = new_state_groups - set(state_groups_map)
|
|
|
|
if missing_state:
|
|
|
|
group_to_state = yield self._get_state_for_groups(missing_state)
|
|
|
|
state_groups_map.update(group_to_state)
|
|
|
|
|
|
|
|
if len(new_state_groups) == 1:
|
2018-07-24 09:31:38 -04:00
|
|
|
# If there is only one state group, then we know what the current
|
|
|
|
# state is.
|
2018-07-24 08:40:42 -04:00
|
|
|
defer.returnValue((state_groups_map[new_state_groups.pop()], None))
|
2018-02-16 06:16:29 -05:00
|
|
|
|
|
|
|
# Ok, we need to defer to the state handler to resolve our state sets.
|
2018-01-17 11:01:59 -05:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
state_groups = {sg: state_groups_map[sg] for sg in new_state_groups}
|
2018-02-16 06:16:29 -05:00
|
|
|
|
2018-01-30 06:06:15 -05:00
|
|
|
events_map = {ev.event_id: ev for ev, _ in events_context}
|
2019-01-18 07:17:04 -05:00
|
|
|
|
|
|
|
# We need to get the room version, which is in the create event.
|
|
|
|
# Normally that'd be in the database, but its also possible that we're
|
|
|
|
# currently trying to persist it.
|
|
|
|
room_version = None
|
|
|
|
for ev, _ in events_context:
|
|
|
|
if ev.type == EventTypes.Create and ev.state_key == "":
|
|
|
|
room_version = ev.content.get("room_version", "1")
|
|
|
|
break
|
|
|
|
|
|
|
|
if not room_version:
|
|
|
|
room_version = yield self.get_room_version(room_id)
|
2018-08-08 12:01:57 -04:00
|
|
|
|
2018-01-30 06:06:15 -05:00
|
|
|
logger.debug("calling resolve_state_groups from preserve_events")
|
|
|
|
res = yield self._state_resolution_handler.resolve_state_groups(
|
2019-03-28 09:37:16 -04:00
|
|
|
room_id,
|
|
|
|
room_version,
|
|
|
|
state_groups,
|
|
|
|
events_map,
|
|
|
|
state_res_store=StateResolutionStore(self),
|
2018-01-30 05:17:55 -05:00
|
|
|
)
|
2017-03-27 13:00:47 -04:00
|
|
|
|
2018-07-24 06:13:47 -04:00
|
|
|
defer.returnValue((res.state, None))
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2018-01-19 12:43:40 -05:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def _calculate_state_delta(self, room_id, current_state):
|
|
|
|
"""Calculate the new state deltas for a room.
|
|
|
|
|
|
|
|
Assumes that we are only persisting events for one room at a time.
|
|
|
|
|
|
|
|
Returns:
|
2018-07-24 06:59:16 -04:00
|
|
|
tuple[list, dict] (to_delete, to_insert): where to_delete are the
|
|
|
|
type/state_keys to remove from current_state_events and `to_insert`
|
|
|
|
are the updates to current_state_events.
|
2018-01-19 12:43:40 -05:00
|
|
|
"""
|
2017-03-10 12:39:35 -05:00
|
|
|
existing_state = yield self.get_current_state_ids(room_id)
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
to_delete = [key for key in existing_state if key not in current_state]
|
2018-07-24 05:55:11 -04:00
|
|
|
|
2017-01-23 09:51:33 -05:00
|
|
|
to_insert = {
|
2019-03-28 09:37:16 -04:00
|
|
|
key: ev_id
|
|
|
|
for key, ev_id in iteritems(current_state)
|
2018-07-24 05:55:11 -04:00
|
|
|
if ev_id != existing_state.get(key)
|
2017-01-23 09:51:33 -05:00
|
|
|
}
|
|
|
|
|
2018-01-19 19:23:36 -05:00
|
|
|
defer.returnValue((to_delete, to_insert))
|
2017-01-23 09:51:33 -05:00
|
|
|
|
2015-06-25 12:18:19 -04:00
|
|
|
@log_function
|
2019-03-28 09:37:16 -04:00
|
|
|
def _persist_events_txn(
|
|
|
|
self,
|
|
|
|
txn,
|
|
|
|
events_and_contexts,
|
|
|
|
backfilled,
|
|
|
|
delete_existing=False,
|
|
|
|
state_delta_for_room={},
|
|
|
|
new_forward_extremeties={},
|
|
|
|
):
|
2016-07-26 05:49:52 -04:00
|
|
|
"""Insert some number of room events into the necessary database tables.
|
|
|
|
|
|
|
|
Rejected events are only inserted into the events table, the events_json table,
|
|
|
|
and the rejections table. Things reading from those table will need to check
|
|
|
|
whether the event was rejected.
|
2016-08-04 10:02:15 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection): db connection
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]):
|
|
|
|
events to persist
|
|
|
|
backfilled (bool): True if the events were backfilled
|
|
|
|
delete_existing (bool): True to purge existing table rows for the
|
|
|
|
events from the database. This is useful when retrying due to
|
|
|
|
IntegrityError.
|
2018-07-24 06:59:16 -04:00
|
|
|
state_delta_for_room (dict[str, (list, dict)]):
|
2017-03-17 07:51:13 -04:00
|
|
|
The current-state delta for each room. For each room, a tuple
|
2018-07-24 06:59:16 -04:00
|
|
|
(to_delete, to_insert), being a list of type/state keys to be
|
|
|
|
removed from the current state, and a state set to be added to
|
2017-03-17 07:51:13 -04:00
|
|
|
the current state.
|
|
|
|
new_forward_extremeties (dict[str, list[str]]):
|
|
|
|
The new forward extremities for each room. For each room, a
|
|
|
|
list of the event ids which are the forward extremities.
|
|
|
|
|
2016-07-26 05:49:52 -04:00
|
|
|
"""
|
2018-02-20 07:33:04 -05:00
|
|
|
all_events_and_contexts = events_and_contexts
|
|
|
|
|
2019-04-02 07:42:39 -04:00
|
|
|
min_stream_order = events_and_contexts[0][0].internal_metadata.stream_ordering
|
2017-01-20 09:28:53 -05:00
|
|
|
max_stream_order = events_and_contexts[-1][0].internal_metadata.stream_ordering
|
2017-05-30 09:41:42 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
self._update_forward_extremities_txn(
|
|
|
|
txn,
|
|
|
|
new_forward_extremities=new_forward_extremeties,
|
|
|
|
max_stream_order=max_stream_order,
|
|
|
|
)
|
|
|
|
|
|
|
|
# Ensure that we don't have the same event twice.
|
|
|
|
events_and_contexts = self._filter_events_and_contexts_for_duplicates(
|
2019-03-28 09:37:16 -04:00
|
|
|
events_and_contexts
|
2017-03-17 07:51:13 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
self._update_room_depths_txn(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, events_and_contexts=events_and_contexts, backfilled=backfilled
|
2017-03-17 07:51:13 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
# _update_outliers_txn filters out any events which have already been
|
|
|
|
# persisted, and returns the filtered list.
|
|
|
|
events_and_contexts = self._update_outliers_txn(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, events_and_contexts=events_and_contexts
|
2017-03-17 07:51:13 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
# From this point onwards the events are only events that we haven't
|
|
|
|
# seen before.
|
|
|
|
|
|
|
|
if delete_existing:
|
|
|
|
# For paranoia reasons, we go and delete all the existing entries
|
|
|
|
# for these events so we can reinsert them.
|
|
|
|
# This gets around any problems with some tables already having
|
|
|
|
# entries.
|
2019-03-28 09:37:16 -04:00
|
|
|
self._delete_existing_rows_txn(txn, events_and_contexts=events_and_contexts)
|
2017-03-17 07:51:13 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
self._store_event_txn(txn, events_and_contexts=events_and_contexts)
|
2017-03-17 07:51:13 -04:00
|
|
|
|
2018-02-06 09:31:24 -05:00
|
|
|
# Insert into event_to_state_groups.
|
|
|
|
self._store_event_state_mappings_txn(txn, events_and_contexts)
|
2017-03-17 10:30:16 -04:00
|
|
|
|
2018-10-16 09:01:53 -04:00
|
|
|
# We want to store event_auth mappings for rejected events, as they're
|
|
|
|
# used in state res v2.
|
|
|
|
# This is only necessary if the rejected event appears in an accepted
|
|
|
|
# event's auth chain, but its easier for now just to store them (and
|
|
|
|
# it doesn't take much storage compared to storing the entire event
|
|
|
|
# anyway).
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="event_auth",
|
|
|
|
values=[
|
|
|
|
{
|
|
|
|
"event_id": event.event_id,
|
|
|
|
"room_id": event.room_id,
|
|
|
|
"auth_id": auth_id,
|
|
|
|
}
|
|
|
|
for event, _ in events_and_contexts
|
2018-11-05 08:35:15 -05:00
|
|
|
for auth_id in event.auth_event_ids()
|
2018-10-16 09:01:53 -04:00
|
|
|
if event.is_state()
|
|
|
|
],
|
|
|
|
)
|
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
# _store_rejected_events_txn filters out any events which were
|
|
|
|
# rejected, and returns the filtered list.
|
|
|
|
events_and_contexts = self._store_rejected_events_txn(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, events_and_contexts=events_and_contexts
|
2017-03-17 07:51:13 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
# From this point onwards the events are only ones that weren't
|
|
|
|
# rejected.
|
|
|
|
|
|
|
|
self._update_metadata_tables_txn(
|
|
|
|
txn,
|
|
|
|
events_and_contexts=events_and_contexts,
|
2018-02-20 07:33:04 -05:00
|
|
|
all_events_and_contexts=all_events_and_contexts,
|
2017-03-17 07:51:13 -04:00
|
|
|
backfilled=backfilled,
|
|
|
|
)
|
|
|
|
|
2019-07-17 10:33:37 -04:00
|
|
|
# We call this last as it assumes we've inserted the events into
|
|
|
|
# room_memberships, where applicable.
|
|
|
|
self._update_current_state_txn(txn, state_delta_for_room, min_stream_order)
|
|
|
|
|
2019-04-02 07:42:39 -04:00
|
|
|
def _update_current_state_txn(self, txn, state_delta_by_room, stream_id):
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, current_state_tuple in iteritems(state_delta_by_room):
|
2019-01-30 05:53:17 -05:00
|
|
|
to_delete, to_insert = current_state_tuple
|
2017-01-20 10:40:04 -05:00
|
|
|
|
2019-01-30 05:53:17 -05:00
|
|
|
# First we add entries to the current_state_delta_stream. We
|
|
|
|
# do this before updating the current_state_events table so
|
|
|
|
# that we can use it to calculate the `prev_event_id`. (This
|
|
|
|
# allows us to not have to pull out the existing state
|
|
|
|
# unnecessarily).
|
2019-04-02 07:42:39 -04:00
|
|
|
#
|
|
|
|
# The stream_id for the update is chosen to be the minimum of the stream_ids
|
|
|
|
# for the batch of the events that we are persisting; that means we do not
|
|
|
|
# end up in a situation where workers see events before the
|
|
|
|
# current_state_delta updates.
|
|
|
|
#
|
2019-01-30 05:53:17 -05:00
|
|
|
sql = """
|
|
|
|
INSERT INTO current_state_delta_stream
|
|
|
|
(stream_id, room_id, type, state_key, event_id, prev_event_id)
|
|
|
|
SELECT ?, ?, ?, ?, ?, (
|
|
|
|
SELECT event_id FROM current_state_events
|
|
|
|
WHERE room_id = ? AND type = ? AND state_key = ?
|
2017-01-20 10:40:04 -05:00
|
|
|
)
|
2019-01-30 05:53:17 -05:00
|
|
|
"""
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.executemany(
|
|
|
|
sql,
|
2019-01-30 05:53:17 -05:00
|
|
|
(
|
2019-03-28 09:37:16 -04:00
|
|
|
(
|
2019-04-02 07:42:39 -04:00
|
|
|
stream_id,
|
2019-03-28 09:37:16 -04:00
|
|
|
room_id,
|
|
|
|
etype,
|
|
|
|
state_key,
|
|
|
|
None,
|
|
|
|
room_id,
|
|
|
|
etype,
|
|
|
|
state_key,
|
|
|
|
)
|
|
|
|
for etype, state_key in to_delete
|
|
|
|
# We sanity check that we're deleting rather than updating
|
|
|
|
if (etype, state_key) not in to_insert
|
|
|
|
),
|
|
|
|
)
|
|
|
|
txn.executemany(
|
|
|
|
sql,
|
2019-01-30 05:53:17 -05:00
|
|
|
(
|
2019-03-28 09:37:16 -04:00
|
|
|
(
|
2019-04-02 07:42:39 -04:00
|
|
|
stream_id,
|
2019-03-28 09:37:16 -04:00
|
|
|
room_id,
|
|
|
|
etype,
|
|
|
|
state_key,
|
|
|
|
ev_id,
|
|
|
|
room_id,
|
|
|
|
etype,
|
|
|
|
state_key,
|
|
|
|
)
|
|
|
|
for (etype, state_key), ev_id in iteritems(to_insert)
|
|
|
|
),
|
|
|
|
)
|
2019-01-30 05:53:17 -05:00
|
|
|
|
|
|
|
# Now we actually update the current_state_events table
|
|
|
|
|
|
|
|
txn.executemany(
|
|
|
|
"DELETE FROM current_state_events"
|
|
|
|
" WHERE room_id = ? AND type = ? AND state_key = ?",
|
|
|
|
(
|
|
|
|
(room_id, etype, state_key)
|
|
|
|
for etype, state_key in itertools.chain(to_delete, to_insert)
|
|
|
|
),
|
|
|
|
)
|
2017-01-20 10:40:04 -05:00
|
|
|
|
2019-07-17 10:33:37 -04:00
|
|
|
# We include the membership in the current state table, hence we do
|
|
|
|
# a lookup when we insert. This assumes that all events have already
|
|
|
|
# been inserted into room_memberships.
|
|
|
|
txn.executemany(
|
|
|
|
"""INSERT INTO current_state_events
|
|
|
|
(room_id, type, state_key, event_id, membership)
|
|
|
|
VALUES (?, ?, ?, ?, (SELECT membership FROM room_memberships WHERE event_id = ?))
|
|
|
|
""",
|
|
|
|
[
|
|
|
|
(room_id, key[0], key[1], ev_id, ev_id)
|
2019-01-30 05:53:17 -05:00
|
|
|
for key, ev_id in iteritems(to_insert)
|
|
|
|
],
|
|
|
|
)
|
2017-01-20 10:40:04 -05:00
|
|
|
|
2019-01-30 05:53:17 -05:00
|
|
|
txn.call_after(
|
|
|
|
self._curr_state_delta_stream_cache.entity_has_changed,
|
2019-03-28 09:37:16 -04:00
|
|
|
room_id,
|
2019-04-02 07:42:39 -04:00
|
|
|
stream_id,
|
2019-01-30 05:53:17 -05:00
|
|
|
)
|
2017-06-13 04:56:18 -04:00
|
|
|
|
2019-01-30 05:53:17 -05:00
|
|
|
# Invalidate the various caches
|
|
|
|
|
|
|
|
# Figure out the changes of membership to invalidate the
|
|
|
|
# `get_rooms_for_user` cache.
|
|
|
|
# We find out which membership events we may have deleted
|
|
|
|
# and which we have added, then we invlidate the caches for all
|
|
|
|
# those users.
|
|
|
|
members_changed = set(
|
|
|
|
state_key
|
|
|
|
for ev_type, state_key in itertools.chain(to_delete, to_insert)
|
|
|
|
if ev_type == EventTypes.Member
|
|
|
|
)
|
|
|
|
|
2019-04-02 07:42:39 -04:00
|
|
|
for member in members_changed:
|
|
|
|
txn.call_after(
|
|
|
|
self.get_rooms_for_user_with_stream_ordering.invalidate, (member,)
|
|
|
|
)
|
|
|
|
|
2019-02-18 12:53:31 -05:00
|
|
|
self._invalidate_state_caches_and_stream(txn, room_id, members_changed)
|
2019-01-30 05:53:17 -05:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
def _update_forward_extremities_txn(
|
|
|
|
self, txn, new_forward_extremities, max_stream_order
|
|
|
|
):
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, new_extrem in iteritems(new_forward_extremities):
|
2017-01-20 09:28:53 -05:00
|
|
|
self._simple_delete_txn(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, table="event_forward_extremities", keyvalues={"room_id": room_id}
|
2017-01-20 09:28:53 -05:00
|
|
|
)
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.call_after(self.get_latest_event_ids_in_room.invalidate, (room_id,))
|
2017-01-20 09:28:53 -05:00
|
|
|
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="event_forward_extremities",
|
|
|
|
values=[
|
2019-03-28 09:37:16 -04:00
|
|
|
{"event_id": ev_id, "room_id": room_id}
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, new_extrem in iteritems(new_forward_extremities)
|
2017-01-20 09:28:53 -05:00
|
|
|
for ev_id in new_extrem
|
|
|
|
],
|
|
|
|
)
|
|
|
|
# We now insert into stream_ordering_to_exterm a mapping from room_id,
|
|
|
|
# new stream_ordering to new forward extremeties in the room.
|
|
|
|
# This allows us to later efficiently look up the forward extremeties
|
|
|
|
# for a room before a given stream_ordering
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="stream_ordering_to_exterm",
|
|
|
|
values=[
|
|
|
|
{
|
|
|
|
"room_id": room_id,
|
|
|
|
"event_id": event_id,
|
|
|
|
"stream_ordering": max_stream_order,
|
|
|
|
}
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, new_extrem in iteritems(new_forward_extremities)
|
2017-01-20 09:28:53 -05:00
|
|
|
for event_id in new_extrem
|
2019-03-28 09:37:16 -04:00
|
|
|
],
|
2017-01-20 09:28:53 -05:00
|
|
|
)
|
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
@classmethod
|
|
|
|
def _filter_events_and_contexts_for_duplicates(cls, events_and_contexts):
|
|
|
|
"""Ensure that we don't have the same event twice.
|
|
|
|
|
|
|
|
Pick the earliest non-outlier if there is one, else the earliest one.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]):
|
|
|
|
Returns:
|
|
|
|
list[(EventBase, EventContext)]: filtered list
|
|
|
|
"""
|
2016-08-03 06:23:39 -04:00
|
|
|
new_events_and_contexts = OrderedDict()
|
|
|
|
for event, context in events_and_contexts:
|
|
|
|
prev_event_context = new_events_and_contexts.get(event.event_id)
|
|
|
|
if prev_event_context:
|
|
|
|
if not event.internal_metadata.is_outlier():
|
|
|
|
if prev_event_context[0].internal_metadata.is_outlier():
|
|
|
|
# To ensure correct ordering we pop, as OrderedDict is
|
|
|
|
# ordered by first insertion.
|
|
|
|
new_events_and_contexts.pop(event.event_id, None)
|
|
|
|
new_events_and_contexts[event.event_id] = (event, context)
|
|
|
|
else:
|
|
|
|
new_events_and_contexts[event.event_id] = (event, context)
|
2018-05-31 05:03:47 -04:00
|
|
|
return list(new_events_and_contexts.values())
|
2016-08-03 06:23:39 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
def _update_room_depths_txn(self, txn, events_and_contexts, backfilled):
|
|
|
|
"""Update min_depth for each room
|
2016-08-03 06:23:39 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection): db connection
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]): events
|
|
|
|
we are persisting
|
|
|
|
backfilled (bool): True if the events were backfilled
|
|
|
|
"""
|
2016-02-09 11:19:15 -05:00
|
|
|
depth_updates = {}
|
|
|
|
for event, context in events_and_contexts:
|
|
|
|
# Remove the any existing cache entries for the event_ids
|
2015-06-25 12:18:19 -04:00
|
|
|
txn.call_after(self._invalidate_get_event_cache, event.event_id)
|
2016-01-28 10:02:37 -05:00
|
|
|
if not backfilled:
|
|
|
|
txn.call_after(
|
2016-01-28 11:37:41 -05:00
|
|
|
self._events_stream_cache.entity_has_changed,
|
2019-03-28 09:37:16 -04:00
|
|
|
event.room_id,
|
|
|
|
event.internal_metadata.stream_ordering,
|
2016-01-28 10:02:37 -05:00
|
|
|
)
|
|
|
|
|
2016-07-25 13:44:30 -04:00
|
|
|
if not event.internal_metadata.is_outlier() and not context.rejected:
|
2016-02-09 11:19:15 -05:00
|
|
|
depth_updates[event.room_id] = max(
|
|
|
|
event.depth, depth_updates.get(event.room_id, event.depth)
|
|
|
|
)
|
|
|
|
|
2018-05-31 05:03:47 -04:00
|
|
|
for room_id, depth in iteritems(depth_updates):
|
2015-06-25 12:18:19 -04:00
|
|
|
self._update_min_depth_for_room_txn(txn, room_id, depth)
|
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
def _update_outliers_txn(self, txn, events_and_contexts):
|
|
|
|
"""Update any outliers with new event info.
|
|
|
|
|
|
|
|
This turns outliers into ex-outliers (unless the new event was
|
|
|
|
rejected).
|
|
|
|
|
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection): db connection
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]): events
|
|
|
|
we are persisting
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
list[(EventBase, EventContext)] new list, without events which
|
|
|
|
are already in the events table.
|
|
|
|
"""
|
2015-06-25 12:18:19 -04:00
|
|
|
txn.execute(
|
2019-03-28 09:37:16 -04:00
|
|
|
"SELECT event_id, outlier FROM events WHERE event_id in (%s)"
|
|
|
|
% (",".join(["?"] * len(events_and_contexts)),),
|
|
|
|
[event.event_id for event, _ in events_and_contexts],
|
2015-03-20 09:52:56 -04:00
|
|
|
)
|
2016-07-25 13:44:30 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
have_persisted = {event_id: outlier for event_id, outlier in txn}
|
2015-06-25 12:18:19 -04:00
|
|
|
|
|
|
|
to_remove = set()
|
|
|
|
for event, context in events_and_contexts:
|
|
|
|
if event.event_id not in have_persisted:
|
|
|
|
continue
|
|
|
|
|
|
|
|
to_remove.add(event)
|
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
if context.rejected:
|
|
|
|
# If the event is rejected then we don't care if the event
|
|
|
|
# was an outlier or not.
|
|
|
|
continue
|
|
|
|
|
2015-06-25 12:18:19 -04:00
|
|
|
outlier_persisted = have_persisted[event.event_id]
|
|
|
|
if not event.internal_metadata.is_outlier() and outlier_persisted:
|
2016-07-26 05:49:52 -04:00
|
|
|
# We received a copy of an event that we had already stored as
|
|
|
|
# an outlier in the database. We now have some state at that
|
|
|
|
# so we need to update the state_groups table with that state.
|
|
|
|
|
2018-02-06 09:31:24 -05:00
|
|
|
# insert into event_to_state_groups.
|
2016-09-02 05:41:38 -04:00
|
|
|
try:
|
2018-02-06 09:31:24 -05:00
|
|
|
self._store_event_state_mappings_txn(txn, ((event, context),))
|
2016-09-02 05:41:38 -04:00
|
|
|
except Exception:
|
|
|
|
logger.exception("")
|
|
|
|
raise
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
metadata_json = encode_json(event.internal_metadata.get_dict())
|
2015-05-12 09:14:58 -04:00
|
|
|
|
2015-03-20 09:52:56 -04:00
|
|
|
sql = (
|
2019-03-28 09:37:16 -04:00
|
|
|
"UPDATE event_json SET internal_metadata = ?" " WHERE event_id = ?"
|
2015-03-20 09:52:56 -04:00
|
|
|
)
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute(sql, (metadata_json, event.event_id))
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2016-07-26 05:49:52 -04:00
|
|
|
# Add an entry to the ex_outlier_stream table to replicate the
|
|
|
|
# change in outlier status to our workers.
|
2016-03-30 12:19:56 -04:00
|
|
|
stream_order = event.internal_metadata.stream_ordering
|
2016-08-31 05:09:46 -04:00
|
|
|
state_group_id = context.state_group
|
2016-03-30 12:19:56 -04:00
|
|
|
self._simple_insert_txn(
|
|
|
|
txn,
|
|
|
|
table="ex_outlier_stream",
|
|
|
|
values={
|
|
|
|
"event_stream_ordering": stream_order,
|
|
|
|
"event_id": event.event_id,
|
|
|
|
"state_group": state_group_id,
|
2019-03-28 09:37:16 -04:00
|
|
|
},
|
2016-03-30 12:19:56 -04:00
|
|
|
)
|
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
sql = "UPDATE events SET outlier = ?" " WHERE event_id = ?"
|
|
|
|
txn.execute(sql, (False, event.event_id))
|
2016-07-25 13:44:30 -04:00
|
|
|
|
2016-07-26 05:49:52 -04:00
|
|
|
# Update the event_backward_extremities table now that this
|
|
|
|
# event isn't an outlier any more.
|
2017-01-20 09:40:31 -05:00
|
|
|
self._update_backward_extremeties(txn, [event])
|
2015-09-15 11:34:42 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
return [ec for ec in events_and_contexts if ec[0] not in to_remove]
|
2015-03-24 12:20:26 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
@classmethod
|
|
|
|
def _delete_existing_rows_txn(cls, txn, events_and_contexts):
|
2015-06-25 12:18:19 -04:00
|
|
|
if not events_and_contexts:
|
2017-03-17 07:51:13 -04:00
|
|
|
# nothing to do here
|
2015-06-25 12:18:19 -04:00
|
|
|
return
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
logger.info("Deleting existing")
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
for table in (
|
2019-03-28 09:37:16 -04:00
|
|
|
"events",
|
|
|
|
"event_auth",
|
|
|
|
"event_json",
|
|
|
|
"event_edges",
|
|
|
|
"event_forward_extremities",
|
|
|
|
"event_reference_hashes",
|
|
|
|
"event_search",
|
|
|
|
"event_to_state_groups",
|
|
|
|
"guest_access",
|
|
|
|
"history_visibility",
|
|
|
|
"local_invites",
|
|
|
|
"room_names",
|
|
|
|
"state_events",
|
|
|
|
"rejections",
|
|
|
|
"redactions",
|
|
|
|
"room_memberships",
|
|
|
|
"topics",
|
2017-03-17 07:51:13 -04:00
|
|
|
):
|
|
|
|
txn.executemany(
|
|
|
|
"DELETE FROM %s WHERE event_id = ?" % (table,),
|
2019-03-28 09:37:16 -04:00
|
|
|
[(ev.event_id,) for ev, _ in events_and_contexts],
|
2017-03-17 07:51:13 -04:00
|
|
|
)
|
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
for table in ("event_push_actions",):
|
2016-12-29 11:54:03 -05:00
|
|
|
txn.executemany(
|
|
|
|
"DELETE FROM %s WHERE room_id = ? AND event_id = ?" % (table,),
|
2019-03-28 09:37:16 -04:00
|
|
|
[(ev.room_id, ev.event_id) for ev, _ in events_and_contexts],
|
2016-12-29 11:54:03 -05:00
|
|
|
)
|
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
def _store_event_txn(self, txn, events_and_contexts):
|
|
|
|
"""Insert new events into the event and event_json tables
|
|
|
|
|
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection): db connection
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]): events
|
|
|
|
we are persisting
|
|
|
|
"""
|
|
|
|
|
|
|
|
if not events_and_contexts:
|
|
|
|
# nothing to do here
|
|
|
|
return
|
|
|
|
|
|
|
|
def event_dict(event):
|
2017-03-24 06:57:02 -04:00
|
|
|
d = event.get_dict()
|
|
|
|
d.pop("redacted", None)
|
|
|
|
d.pop("redacted_because", None)
|
|
|
|
return d
|
2016-08-04 10:02:15 -04:00
|
|
|
|
2015-06-25 12:18:19 -04:00
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="event_json",
|
|
|
|
values=[
|
|
|
|
{
|
|
|
|
"event_id": event.event_id,
|
|
|
|
"room_id": event.room_id,
|
|
|
|
"internal_metadata": encode_json(
|
2015-08-24 11:17:38 -04:00
|
|
|
event.internal_metadata.get_dict()
|
2018-08-01 10:54:06 -04:00
|
|
|
),
|
|
|
|
"json": encode_json(event_dict(event)),
|
2019-01-23 06:11:52 -05:00
|
|
|
"format_version": event.format_version,
|
2015-06-25 12:18:19 -04:00
|
|
|
}
|
|
|
|
for event, _ in events_and_contexts
|
|
|
|
],
|
2015-04-15 05:24:24 -04:00
|
|
|
)
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2015-06-25 12:18:19 -04:00
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="events",
|
|
|
|
values=[
|
|
|
|
{
|
|
|
|
"stream_ordering": event.internal_metadata.stream_ordering,
|
|
|
|
"topological_ordering": event.depth,
|
|
|
|
"depth": event.depth,
|
|
|
|
"event_id": event.event_id,
|
|
|
|
"room_id": event.room_id,
|
|
|
|
"type": event.type,
|
|
|
|
"processed": True,
|
|
|
|
"outlier": event.internal_metadata.is_outlier(),
|
2015-11-30 12:45:31 -05:00
|
|
|
"origin_server_ts": int(event.origin_server_ts),
|
2016-04-19 09:24:36 -04:00
|
|
|
"received_ts": self._clock.time_msec(),
|
2016-07-14 10:15:22 -04:00
|
|
|
"sender": event.sender,
|
|
|
|
"contains_url": (
|
|
|
|
"url" in event.content
|
2018-08-30 10:19:58 -04:00
|
|
|
and isinstance(event.content["url"], text_type)
|
2016-07-14 10:15:22 -04:00
|
|
|
),
|
2015-06-25 12:18:19 -04:00
|
|
|
}
|
|
|
|
for event, _ in events_and_contexts
|
|
|
|
],
|
2015-03-20 09:52:56 -04:00
|
|
|
)
|
|
|
|
|
2017-03-17 07:51:13 -04:00
|
|
|
def _store_rejected_events_txn(self, txn, events_and_contexts):
|
|
|
|
"""Add rows to the 'rejections' table for received events which were
|
|
|
|
rejected
|
|
|
|
|
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection): db connection
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]): events
|
|
|
|
we are persisting
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
list[(EventBase, EventContext)] new list, without the rejected
|
|
|
|
events.
|
|
|
|
"""
|
2016-07-26 05:49:52 -04:00
|
|
|
# Remove the rejected events from the list now that we've added them
|
|
|
|
# to the events table and the events_json table.
|
2016-07-25 13:44:30 -04:00
|
|
|
to_remove = set()
|
2016-07-25 11:12:16 -04:00
|
|
|
for event, context in events_and_contexts:
|
|
|
|
if context.rejected:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert the event_id into the rejections table
|
2019-03-28 09:37:16 -04:00
|
|
|
self._store_rejections_txn(txn, event.event_id, context.rejected)
|
2016-07-26 05:49:52 -04:00
|
|
|
to_remove.add(event)
|
2016-07-25 13:44:30 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
return [ec for ec in events_and_contexts if ec[0] not in to_remove]
|
2016-07-25 13:44:30 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
def _update_metadata_tables_txn(
|
|
|
|
self, txn, events_and_contexts, all_events_and_contexts, backfilled
|
|
|
|
):
|
2017-03-17 07:51:13 -04:00
|
|
|
"""Update all the miscellaneous tables for new events
|
|
|
|
|
|
|
|
Args:
|
|
|
|
txn (twisted.enterprise.adbapi.Connection): db connection
|
|
|
|
events_and_contexts (list[(EventBase, EventContext)]): events
|
|
|
|
we are persisting
|
2018-02-20 07:33:04 -05:00
|
|
|
all_events_and_contexts (list[(EventBase, EventContext)]): all
|
|
|
|
events that we were going to persist. This includes events
|
|
|
|
we've already persisted, etc, that wouldn't appear in
|
|
|
|
events_and_context.
|
2017-03-17 07:51:13 -04:00
|
|
|
backfilled (bool): True if the events were backfilled
|
|
|
|
"""
|
|
|
|
|
2018-02-20 07:29:50 -05:00
|
|
|
# Insert all the push actions into the event_push_actions table.
|
|
|
|
self._set_push_actions_for_event_and_users_txn(
|
|
|
|
txn,
|
|
|
|
events_and_contexts=events_and_contexts,
|
2018-02-20 07:33:04 -05:00
|
|
|
all_events_and_contexts=all_events_and_contexts,
|
2018-02-20 07:29:50 -05:00
|
|
|
)
|
|
|
|
|
2016-07-25 13:44:30 -04:00
|
|
|
if not events_and_contexts:
|
2017-03-17 07:51:13 -04:00
|
|
|
# nothing to do here
|
2016-07-25 13:44:30 -04:00
|
|
|
return
|
|
|
|
|
|
|
|
for event, context in events_and_contexts:
|
2016-07-26 06:05:39 -04:00
|
|
|
if event.type == EventTypes.Redaction and event.redacts is not None:
|
|
|
|
# Remove the entries in the event_push_actions table for the
|
|
|
|
# redacted event.
|
|
|
|
self._remove_push_actions_for_event_id_txn(
|
|
|
|
txn, event.room_id, event.redacts
|
|
|
|
)
|
|
|
|
|
2019-05-20 05:13:05 -04:00
|
|
|
# Remove from relations table.
|
|
|
|
self._handle_redaction(txn, event.redacts)
|
|
|
|
|
2016-07-26 05:49:52 -04:00
|
|
|
# Update the event_forward_extremities, event_backward_extremities and
|
|
|
|
# event_edges tables.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._handle_mult_prev_events(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, events=[event for event, _ in events_and_contexts]
|
2016-07-25 13:44:30 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
for event, _ in events_and_contexts:
|
|
|
|
if event.type == EventTypes.Name:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the room_names and event_search tables.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_room_name_txn(txn, event)
|
|
|
|
elif event.type == EventTypes.Topic:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the topics table and event_search table.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_room_topic_txn(txn, event)
|
|
|
|
elif event.type == EventTypes.Message:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the event_search table.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_room_message_txn(txn, event)
|
|
|
|
elif event.type == EventTypes.Redaction:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the redactions table.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_redaction(txn, event)
|
|
|
|
elif event.type == EventTypes.RoomHistoryVisibility:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the event_search table.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_history_visibility_txn(txn, event)
|
|
|
|
elif event.type == EventTypes.GuestAccess:
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the event_search table.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_guest_access_txn(txn, event)
|
|
|
|
|
2019-05-14 11:59:21 -04:00
|
|
|
self._handle_event_relations(txn, event)
|
|
|
|
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert into the room_memberships table.
|
2016-07-25 13:44:30 -04:00
|
|
|
self._store_room_members_txn(
|
|
|
|
txn,
|
|
|
|
[
|
|
|
|
event
|
|
|
|
for event, _ in events_and_contexts
|
|
|
|
if event.type == EventTypes.Member
|
|
|
|
],
|
|
|
|
backfilled=backfilled,
|
|
|
|
)
|
|
|
|
|
2016-07-26 05:49:52 -04:00
|
|
|
# Insert event_reference_hashes table.
|
2015-06-25 12:18:19 -04:00
|
|
|
self._store_event_reference_hashes_txn(
|
|
|
|
txn, [event for event, _ in events_and_contexts]
|
|
|
|
)
|
|
|
|
|
2016-03-31 10:00:42 -04:00
|
|
|
state_events_and_contexts = [
|
|
|
|
ec for ec in events_and_contexts if ec[0].is_state()
|
|
|
|
]
|
2015-04-27 08:22:30 -04:00
|
|
|
|
2015-06-25 12:18:19 -04:00
|
|
|
state_values = []
|
|
|
|
for event, context in state_events_and_contexts:
|
2015-03-20 09:52:56 -04:00
|
|
|
vals = {
|
|
|
|
"event_id": event.event_id,
|
|
|
|
"room_id": event.room_id,
|
|
|
|
"type": event.type,
|
|
|
|
"state_key": event.state_key,
|
|
|
|
}
|
|
|
|
|
|
|
|
# TODO: How does this work with backfilling?
|
|
|
|
if hasattr(event, "replaces_state"):
|
|
|
|
vals["prev_state"] = event.replaces_state
|
|
|
|
|
2015-06-25 12:18:19 -04:00
|
|
|
state_values.append(vals)
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
self._simple_insert_many_txn(txn, table="state_events", values=state_values)
|
2015-03-20 09:52:56 -04:00
|
|
|
|
2016-07-26 06:05:39 -04:00
|
|
|
# Prefill the event cache
|
2016-06-06 06:08:12 -04:00
|
|
|
self._add_to_cache(txn, events_and_contexts)
|
|
|
|
|
|
|
|
def _add_to_cache(self, txn, events_and_contexts):
|
|
|
|
to_prefill = []
|
|
|
|
|
|
|
|
rows = []
|
|
|
|
N = 200
|
|
|
|
for i in range(0, len(events_and_contexts), N):
|
2019-03-28 09:37:16 -04:00
|
|
|
ev_map = {e[0].event_id: e[0] for e in events_and_contexts[i : i + N]}
|
2016-06-06 06:08:12 -04:00
|
|
|
if not ev_map:
|
|
|
|
break
|
|
|
|
|
|
|
|
sql = (
|
|
|
|
"SELECT "
|
|
|
|
" e.event_id as event_id, "
|
|
|
|
" r.redacts as redacts,"
|
|
|
|
" rej.event_id as rejects "
|
|
|
|
" FROM events as e"
|
|
|
|
" LEFT JOIN rejections as rej USING (event_id)"
|
|
|
|
" LEFT JOIN redactions as r ON e.event_id = r.redacts"
|
|
|
|
" WHERE e.event_id IN (%s)"
|
|
|
|
) % (",".join(["?"] * len(ev_map)),)
|
|
|
|
|
2018-05-31 05:03:47 -04:00
|
|
|
txn.execute(sql, list(ev_map))
|
2016-06-06 06:08:12 -04:00
|
|
|
rows = self.cursor_to_dict(txn)
|
|
|
|
for row in rows:
|
|
|
|
event = ev_map[row["event_id"]]
|
|
|
|
if not row["rejects"] and not row["redacts"]:
|
2019-03-28 09:37:16 -04:00
|
|
|
to_prefill.append(
|
|
|
|
_EventCacheEntry(event=event, redacted_event=None)
|
|
|
|
)
|
2016-06-06 06:08:12 -04:00
|
|
|
|
|
|
|
def prefill():
|
|
|
|
for cache_entry in to_prefill:
|
|
|
|
self._get_event_cache.prefill((cache_entry[0].event_id,), cache_entry)
|
2019-03-28 09:37:16 -04:00
|
|
|
|
2016-06-06 06:08:12 -04:00
|
|
|
txn.call_after(prefill)
|
|
|
|
|
2015-03-20 09:52:56 -04:00
|
|
|
def _store_redaction(self, txn, event):
|
|
|
|
# invalidate the cache for the redacted event
|
2015-05-05 12:32:21 -04:00
|
|
|
txn.call_after(self._invalidate_get_event_cache, event.redacts)
|
2015-03-20 09:52:56 -04:00
|
|
|
txn.execute(
|
|
|
|
"INSERT INTO redactions (event_id, redacts) VALUES (?,?)",
|
2019-03-28 09:37:16 -04:00
|
|
|
(event.event_id, event.redacts),
|
2015-03-20 09:52:56 -04:00
|
|
|
)
|
|
|
|
|
2015-09-22 07:57:40 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def count_daily_messages(self):
|
2015-09-22 08:29:36 -04:00
|
|
|
"""
|
|
|
|
Returns an estimate of the number of messages sent in the last day.
|
|
|
|
|
|
|
|
If it has been significantly less or more than one day since the last
|
|
|
|
call to this function, it will return None.
|
|
|
|
"""
|
2019-03-28 09:37:16 -04:00
|
|
|
|
2015-09-22 07:57:40 -04:00
|
|
|
def _count_messages(txn):
|
2017-06-14 14:37:17 -04:00
|
|
|
sql = """
|
|
|
|
SELECT COALESCE(COUNT(*), 0) FROM events
|
|
|
|
WHERE type = 'm.room.message'
|
|
|
|
AND stream_ordering > ?
|
|
|
|
"""
|
|
|
|
txn.execute(sql, (self.stream_ordering_day_ago,))
|
|
|
|
count, = txn.fetchone()
|
|
|
|
return count
|
2015-09-22 07:57:40 -04:00
|
|
|
|
|
|
|
ret = yield self.runInteraction("count_messages", _count_messages)
|
|
|
|
defer.returnValue(ret)
|
|
|
|
|
2017-06-14 14:37:17 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def count_daily_sent_messages(self):
|
|
|
|
def _count_messages(txn):
|
|
|
|
# This is good enough as if you have silly characters in your own
|
|
|
|
# hostname then thats your own fault.
|
|
|
|
like_clause = "%:" + self.hs.hostname
|
|
|
|
|
|
|
|
sql = """
|
|
|
|
SELECT COALESCE(COUNT(*), 0) FROM events
|
|
|
|
WHERE type = 'm.room.message'
|
|
|
|
AND sender LIKE ?
|
|
|
|
AND stream_ordering > ?
|
|
|
|
"""
|
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute(sql, (like_clause, self.stream_ordering_day_ago))
|
2017-06-14 14:37:17 -04:00
|
|
|
count, = txn.fetchone()
|
|
|
|
return count
|
|
|
|
|
|
|
|
ret = yield self.runInteraction("count_daily_sent_messages", _count_messages)
|
|
|
|
defer.returnValue(ret)
|
2015-09-22 07:57:40 -04:00
|
|
|
|
2017-06-15 04:39:39 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def count_daily_active_rooms(self):
|
|
|
|
def _count(txn):
|
|
|
|
sql = """
|
|
|
|
SELECT COALESCE(COUNT(DISTINCT room_id), 0) FROM events
|
|
|
|
WHERE type = 'm.room.message'
|
|
|
|
AND stream_ordering > ?
|
|
|
|
"""
|
|
|
|
txn.execute(sql, (self.stream_ordering_day_ago,))
|
|
|
|
count, = txn.fetchone()
|
|
|
|
return count
|
|
|
|
|
|
|
|
ret = yield self.runInteraction("count_daily_active_rooms", _count)
|
2015-09-22 07:57:40 -04:00
|
|
|
defer.returnValue(ret)
|
2015-11-30 12:45:31 -05:00
|
|
|
|
2016-03-01 09:49:41 -05:00
|
|
|
def get_current_backfill_token(self):
|
|
|
|
"""The current minimum token that backfilled events have reached"""
|
2016-04-01 08:29:05 -04:00
|
|
|
return -self._backfill_id_gen.get_current_token()
|
2016-03-01 09:49:41 -05:00
|
|
|
|
2017-03-27 09:03:38 -04:00
|
|
|
def get_current_events_token(self):
|
|
|
|
"""The current maximum token that events have reached"""
|
|
|
|
return self._stream_id_gen.get_current_token()
|
|
|
|
|
|
|
|
def get_all_new_forward_event_rows(self, last_id, current_id, limit):
|
|
|
|
if last_id == current_id:
|
|
|
|
return defer.succeed([])
|
|
|
|
|
|
|
|
def get_all_new_forward_event_rows(txn):
|
|
|
|
sql = (
|
|
|
|
"SELECT e.stream_ordering, e.event_id, e.room_id, e.type,"
|
2019-05-16 05:18:53 -04:00
|
|
|
" state_key, redacts, relates_to_id"
|
2017-03-27 09:03:38 -04:00
|
|
|
" FROM events AS e"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
2019-05-16 05:18:53 -04:00
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
2017-03-27 09:03:38 -04:00
|
|
|
" WHERE ? < stream_ordering AND stream_ordering <= ?"
|
|
|
|
" ORDER BY stream_ordering ASC"
|
|
|
|
" LIMIT ?"
|
|
|
|
)
|
|
|
|
txn.execute(sql, (last_id, current_id, limit))
|
|
|
|
new_event_updates = txn.fetchall()
|
|
|
|
|
|
|
|
if len(new_event_updates) == limit:
|
|
|
|
upper_bound = new_event_updates[-1][0]
|
|
|
|
else:
|
|
|
|
upper_bound = current_id
|
|
|
|
|
|
|
|
sql = (
|
|
|
|
"SELECT event_stream_ordering, e.event_id, e.room_id, e.type,"
|
2019-05-16 05:18:53 -04:00
|
|
|
" state_key, redacts, relates_to_id"
|
2017-03-27 09:03:38 -04:00
|
|
|
" FROM events AS e"
|
|
|
|
" INNER JOIN ex_outlier_stream USING (event_id)"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
2019-05-16 05:18:53 -04:00
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
2017-03-27 09:03:38 -04:00
|
|
|
" WHERE ? < event_stream_ordering"
|
|
|
|
" AND event_stream_ordering <= ?"
|
|
|
|
" ORDER BY event_stream_ordering DESC"
|
|
|
|
)
|
|
|
|
txn.execute(sql, (last_id, upper_bound))
|
|
|
|
new_event_updates.extend(txn)
|
|
|
|
|
|
|
|
return new_event_updates
|
2019-03-28 09:37:16 -04:00
|
|
|
|
2017-03-27 09:03:38 -04:00
|
|
|
return self.runInteraction(
|
|
|
|
"get_all_new_forward_event_rows", get_all_new_forward_event_rows
|
|
|
|
)
|
|
|
|
|
|
|
|
def get_all_new_backfill_event_rows(self, last_id, current_id, limit):
|
|
|
|
if last_id == current_id:
|
|
|
|
return defer.succeed([])
|
|
|
|
|
|
|
|
def get_all_new_backfill_event_rows(txn):
|
|
|
|
sql = (
|
|
|
|
"SELECT -e.stream_ordering, e.event_id, e.room_id, e.type,"
|
2019-05-16 05:18:53 -04:00
|
|
|
" state_key, redacts, relates_to_id"
|
2017-03-27 09:03:38 -04:00
|
|
|
" FROM events AS e"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
2019-05-16 05:18:53 -04:00
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
2017-03-27 09:03:38 -04:00
|
|
|
" WHERE ? > stream_ordering AND stream_ordering >= ?"
|
|
|
|
" ORDER BY stream_ordering ASC"
|
|
|
|
" LIMIT ?"
|
|
|
|
)
|
|
|
|
txn.execute(sql, (-last_id, -current_id, limit))
|
|
|
|
new_event_updates = txn.fetchall()
|
|
|
|
|
|
|
|
if len(new_event_updates) == limit:
|
|
|
|
upper_bound = new_event_updates[-1][0]
|
|
|
|
else:
|
|
|
|
upper_bound = current_id
|
|
|
|
|
|
|
|
sql = (
|
|
|
|
"SELECT -event_stream_ordering, e.event_id, e.room_id, e.type,"
|
2019-05-16 05:18:53 -04:00
|
|
|
" state_key, redacts, relates_to_id"
|
2017-03-27 09:03:38 -04:00
|
|
|
" FROM events AS e"
|
|
|
|
" INNER JOIN ex_outlier_stream USING (event_id)"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
2019-05-16 05:18:53 -04:00
|
|
|
" LEFT JOIN event_relations USING (event_id)"
|
2017-03-27 09:03:38 -04:00
|
|
|
" WHERE ? > event_stream_ordering"
|
|
|
|
" AND event_stream_ordering >= ?"
|
|
|
|
" ORDER BY event_stream_ordering DESC"
|
|
|
|
)
|
|
|
|
txn.execute(sql, (-last_id, -upper_bound))
|
|
|
|
new_event_updates.extend(txn.fetchall())
|
|
|
|
|
|
|
|
return new_event_updates
|
2019-03-28 09:37:16 -04:00
|
|
|
|
2017-03-27 09:03:38 -04:00
|
|
|
return self.runInteraction(
|
|
|
|
"get_all_new_backfill_event_rows", get_all_new_backfill_event_rows
|
|
|
|
)
|
|
|
|
|
2017-02-01 05:42:37 -05:00
|
|
|
@cached(num_args=5, max_entries=10)
|
2019-03-28 09:37:16 -04:00
|
|
|
def get_all_new_events(
|
|
|
|
self,
|
|
|
|
last_backfill_id,
|
|
|
|
last_forward_id,
|
|
|
|
current_backfill_id,
|
|
|
|
current_forward_id,
|
|
|
|
limit,
|
|
|
|
):
|
2016-03-01 09:49:41 -05:00
|
|
|
"""Get all the new events that have arrived at the server either as
|
|
|
|
new events or as backfilled events"""
|
2016-04-27 06:54:13 -04:00
|
|
|
have_backfill_events = last_backfill_id != current_backfill_id
|
|
|
|
have_forward_events = last_forward_id != current_forward_id
|
|
|
|
|
|
|
|
if not have_backfill_events and not have_forward_events:
|
|
|
|
return defer.succeed(AllNewEventsResult([], [], [], [], []))
|
|
|
|
|
2016-03-01 09:49:41 -05:00
|
|
|
def get_all_new_events_txn(txn):
|
|
|
|
sql = (
|
2017-03-17 11:47:51 -04:00
|
|
|
"SELECT e.stream_ordering, e.event_id, e.room_id, e.type,"
|
|
|
|
" state_key, redacts"
|
|
|
|
" FROM events AS e"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
|
|
|
" WHERE ? < stream_ordering AND stream_ordering <= ?"
|
|
|
|
" ORDER BY stream_ordering ASC"
|
2016-03-01 09:49:41 -05:00
|
|
|
" LIMIT ?"
|
|
|
|
)
|
2016-04-27 06:54:13 -04:00
|
|
|
if have_forward_events:
|
2016-03-01 09:49:41 -05:00
|
|
|
txn.execute(sql, (last_forward_id, current_forward_id, limit))
|
|
|
|
new_forward_events = txn.fetchall()
|
2016-03-30 12:19:56 -04:00
|
|
|
|
|
|
|
if len(new_forward_events) == limit:
|
|
|
|
upper_bound = new_forward_events[-1][0]
|
|
|
|
else:
|
|
|
|
upper_bound = current_forward_id
|
|
|
|
|
|
|
|
sql = (
|
2016-04-06 09:12:51 -04:00
|
|
|
"SELECT event_stream_ordering, event_id, state_group"
|
2016-03-30 12:19:56 -04:00
|
|
|
" FROM ex_outlier_stream"
|
|
|
|
" WHERE ? > event_stream_ordering"
|
|
|
|
" AND event_stream_ordering >= ?"
|
|
|
|
" ORDER BY event_stream_ordering DESC"
|
|
|
|
)
|
|
|
|
txn.execute(sql, (last_forward_id, upper_bound))
|
|
|
|
forward_ex_outliers = txn.fetchall()
|
2016-03-01 09:49:41 -05:00
|
|
|
else:
|
|
|
|
new_forward_events = []
|
2016-03-30 12:19:56 -04:00
|
|
|
forward_ex_outliers = []
|
2016-03-01 09:49:41 -05:00
|
|
|
|
|
|
|
sql = (
|
2017-03-17 11:47:51 -04:00
|
|
|
"SELECT -e.stream_ordering, e.event_id, e.room_id, e.type,"
|
|
|
|
" state_key, redacts"
|
|
|
|
" FROM events AS e"
|
|
|
|
" LEFT JOIN redactions USING (event_id)"
|
|
|
|
" LEFT JOIN state_events USING (event_id)"
|
|
|
|
" WHERE ? > stream_ordering AND stream_ordering >= ?"
|
|
|
|
" ORDER BY stream_ordering DESC"
|
2016-03-01 09:49:41 -05:00
|
|
|
" LIMIT ?"
|
|
|
|
)
|
2016-04-27 06:54:13 -04:00
|
|
|
if have_backfill_events:
|
2016-03-01 09:49:41 -05:00
|
|
|
txn.execute(sql, (-last_backfill_id, -current_backfill_id, limit))
|
|
|
|
new_backfill_events = txn.fetchall()
|
2016-03-30 12:19:56 -04:00
|
|
|
|
|
|
|
if len(new_backfill_events) == limit:
|
|
|
|
upper_bound = new_backfill_events[-1][0]
|
|
|
|
else:
|
|
|
|
upper_bound = current_backfill_id
|
|
|
|
|
|
|
|
sql = (
|
|
|
|
"SELECT -event_stream_ordering, event_id, state_group"
|
|
|
|
" FROM ex_outlier_stream"
|
|
|
|
" WHERE ? > event_stream_ordering"
|
|
|
|
" AND event_stream_ordering >= ?"
|
|
|
|
" ORDER BY event_stream_ordering DESC"
|
|
|
|
)
|
|
|
|
txn.execute(sql, (-last_backfill_id, -upper_bound))
|
|
|
|
backward_ex_outliers = txn.fetchall()
|
2016-03-01 09:49:41 -05:00
|
|
|
else:
|
|
|
|
new_backfill_events = []
|
2016-03-30 12:19:56 -04:00
|
|
|
backward_ex_outliers = []
|
2016-03-01 09:49:41 -05:00
|
|
|
|
2016-03-31 05:33:02 -04:00
|
|
|
return AllNewEventsResult(
|
2019-03-28 09:37:16 -04:00
|
|
|
new_forward_events,
|
|
|
|
new_backfill_events,
|
|
|
|
forward_ex_outliers,
|
|
|
|
backward_ex_outliers,
|
2016-03-30 12:19:56 -04:00
|
|
|
)
|
2019-03-28 09:37:16 -04:00
|
|
|
|
2016-03-01 09:49:41 -05:00
|
|
|
return self.runInteraction("get_all_new_events", get_all_new_events_txn)
|
2016-03-31 05:33:02 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
def purge_history(self, room_id, token, delete_local_events):
|
2018-02-07 12:27:08 -05:00
|
|
|
"""Deletes room history before a certain point
|
2018-02-08 13:44:52 -05:00
|
|
|
|
|
|
|
Args:
|
|
|
|
room_id (str):
|
|
|
|
|
2018-05-15 11:06:30 -04:00
|
|
|
token (str): A topological token to delete events before
|
2016-07-05 05:28:51 -04:00
|
|
|
|
2018-02-08 13:44:52 -05:00
|
|
|
delete_local_events (bool):
|
|
|
|
if True, we will delete local events as well as remote ones
|
|
|
|
(instead of just marking them as outliers and deleting their
|
|
|
|
state groups).
|
2016-07-04 11:02:50 -04:00
|
|
|
"""
|
|
|
|
|
2016-07-05 05:28:51 -04:00
|
|
|
return self.runInteraction(
|
2018-02-07 12:27:08 -05:00
|
|
|
"purge_history",
|
2019-03-28 09:37:16 -04:00
|
|
|
self._purge_history_txn,
|
|
|
|
room_id,
|
|
|
|
token,
|
2018-02-08 13:44:52 -05:00
|
|
|
delete_local_events,
|
2016-07-05 05:28:51 -04:00
|
|
|
)
|
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
def _purge_history_txn(self, txn, room_id, token_str, delete_local_events):
|
2018-05-16 05:52:06 -04:00
|
|
|
token = RoomStreamToken.parse(token_str)
|
|
|
|
|
2016-07-04 11:02:50 -04:00
|
|
|
# Tables that should be pruned:
|
|
|
|
# event_auth
|
|
|
|
# event_backward_extremities
|
|
|
|
# event_edges
|
|
|
|
# event_forward_extremities
|
|
|
|
# event_json
|
|
|
|
# event_push_actions
|
|
|
|
# event_reference_hashes
|
|
|
|
# event_search
|
|
|
|
# event_to_state_groups
|
|
|
|
# events
|
|
|
|
# rejections
|
|
|
|
# room_depth
|
|
|
|
# state_groups
|
|
|
|
# state_groups_state
|
|
|
|
|
2018-02-14 11:41:12 -05:00
|
|
|
# we will build a temporary table listing the events so that we don't
|
|
|
|
# have to keep shovelling the list back and forth across the
|
|
|
|
# connection. Annoyingly the python sqlite driver commits the
|
|
|
|
# transaction on CREATE, so let's do this first.
|
|
|
|
#
|
|
|
|
# furthermore, we might already have the table from a previous (failed)
|
|
|
|
# purge attempt, so let's drop the table first.
|
|
|
|
|
|
|
|
txn.execute("DROP TABLE IF EXISTS events_to_purge")
|
|
|
|
|
|
|
|
txn.execute(
|
|
|
|
"CREATE TEMPORARY TABLE events_to_purge ("
|
|
|
|
" event_id TEXT NOT NULL,"
|
|
|
|
" should_delete BOOLEAN NOT NULL"
|
|
|
|
")"
|
|
|
|
)
|
|
|
|
|
2016-07-04 11:02:50 -04:00
|
|
|
# First ensure that we're not about to delete all the forward extremeties
|
|
|
|
txn.execute(
|
|
|
|
"SELECT e.event_id, e.depth FROM events as e "
|
|
|
|
"INNER JOIN event_forward_extremities as f "
|
|
|
|
"ON e.event_id = f.event_id "
|
|
|
|
"AND e.room_id = f.room_id "
|
|
|
|
"WHERE f.room_id = ?",
|
2019-03-28 09:37:16 -04:00
|
|
|
(room_id,),
|
2016-07-04 11:02:50 -04:00
|
|
|
)
|
|
|
|
rows = txn.fetchall()
|
2018-08-30 10:19:58 -04:00
|
|
|
max_depth = max(row[1] for row in rows)
|
2016-07-04 11:02:50 -04:00
|
|
|
|
2018-08-30 10:19:58 -04:00
|
|
|
if max_depth < token.topological:
|
2018-08-15 11:35:22 -04:00
|
|
|
# We need to ensure we don't delete all the events from the database
|
2016-07-07 06:42:15 -04:00
|
|
|
# otherwise we wouldn't be able to send any events (due to not
|
|
|
|
# having any backwards extremeties)
|
2016-07-07 06:41:07 -04:00
|
|
|
raise SynapseError(
|
|
|
|
400, "topological_ordering is greater than forward extremeties"
|
|
|
|
)
|
2016-07-04 11:02:50 -04:00
|
|
|
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] looking for events to delete")
|
2017-05-11 07:06:28 -04:00
|
|
|
|
2018-02-14 06:02:22 -05:00
|
|
|
should_delete_expr = "state_key IS NULL"
|
|
|
|
should_delete_params = ()
|
|
|
|
if not delete_local_events:
|
|
|
|
should_delete_expr += " AND event_id NOT LIKE ?"
|
2018-09-13 11:10:56 -04:00
|
|
|
|
|
|
|
# We include the parameter twice since we use the expression twice
|
2019-03-28 09:37:16 -04:00
|
|
|
should_delete_params += ("%:" + self.hs.hostname, "%:" + self.hs.hostname)
|
2018-02-14 06:02:22 -05:00
|
|
|
|
2018-05-15 11:06:30 -04:00
|
|
|
should_delete_params += (room_id, token.topological)
|
2018-02-14 06:02:22 -05:00
|
|
|
|
2018-09-13 07:48:10 -04:00
|
|
|
# Note that we insert events that are outliers and aren't going to be
|
|
|
|
# deleted, as nothing will happen to them.
|
2018-02-14 06:02:22 -05:00
|
|
|
txn.execute(
|
|
|
|
"INSERT INTO events_to_purge"
|
|
|
|
" SELECT event_id, %s"
|
|
|
|
" FROM events AS e LEFT JOIN state_events USING (event_id)"
|
2018-09-13 07:48:10 -04:00
|
|
|
" WHERE (NOT outlier OR (%s)) AND e.room_id = ? AND topological_ordering < ?"
|
2019-03-28 09:37:16 -04:00
|
|
|
% (should_delete_expr, should_delete_expr),
|
2018-02-14 06:02:22 -05:00
|
|
|
should_delete_params,
|
|
|
|
)
|
2018-09-13 10:05:52 -04:00
|
|
|
|
|
|
|
# We create the indices *after* insertion as that's a lot faster.
|
|
|
|
|
|
|
|
# create an index on should_delete because later we'll be looking for
|
|
|
|
# the should_delete / shouldn't_delete subsets
|
|
|
|
txn.execute(
|
|
|
|
"CREATE INDEX events_to_purge_should_delete"
|
2019-03-28 09:37:16 -04:00
|
|
|
" ON events_to_purge(should_delete)"
|
2018-09-13 10:05:52 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
# We do joins against events_to_purge for e.g. calculating state
|
|
|
|
# groups to purge, etc., so lets make an index.
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute("CREATE INDEX events_to_purge_id" " ON events_to_purge(event_id)")
|
2018-09-13 10:05:52 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute("SELECT event_id, should_delete FROM events_to_purge")
|
2018-02-14 06:02:22 -05:00
|
|
|
event_rows = txn.fetchall()
|
2017-05-11 07:06:28 -04:00
|
|
|
logger.info(
|
2018-02-08 13:44:52 -05:00
|
|
|
"[purge] found %i events before cutoff, of which %i can be deleted",
|
2019-03-28 09:37:16 -04:00
|
|
|
len(event_rows),
|
|
|
|
sum(1 for e in event_rows if e[1]),
|
2018-02-08 13:44:52 -05:00
|
|
|
)
|
2016-09-02 05:41:38 -04:00
|
|
|
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] Finding new backward extremities")
|
2017-05-10 12:46:41 -04:00
|
|
|
|
2016-07-04 11:02:50 -04:00
|
|
|
# We calculate the new entries for the backward extremeties by finding
|
2018-05-16 06:47:26 -04:00
|
|
|
# events to be purged that are pointed to by events we're not going to
|
|
|
|
# purge.
|
2016-07-04 11:02:50 -04:00
|
|
|
txn.execute(
|
2018-02-14 06:02:22 -05:00
|
|
|
"SELECT DISTINCT e.event_id FROM events_to_purge AS e"
|
|
|
|
" INNER JOIN event_edges AS ed ON e.event_id = ed.prev_event_id"
|
2018-05-15 10:48:40 -04:00
|
|
|
" LEFT JOIN events_to_purge AS ep2 ON ed.event_id = ep2.event_id"
|
2019-03-28 09:37:16 -04:00
|
|
|
" WHERE ep2.event_id IS NULL"
|
2016-07-04 11:02:50 -04:00
|
|
|
)
|
|
|
|
new_backwards_extrems = txn.fetchall()
|
|
|
|
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] replacing backward extremities: %r", new_backwards_extrems)
|
2017-05-10 12:46:41 -04:00
|
|
|
|
2016-07-15 09:23:15 -04:00
|
|
|
txn.execute(
|
2019-03-28 09:37:16 -04:00
|
|
|
"DELETE FROM event_backward_extremities WHERE room_id = ?", (room_id,)
|
2016-07-15 09:23:15 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
# Update backward extremeties
|
|
|
|
txn.executemany(
|
|
|
|
"INSERT INTO event_backward_extremities (room_id, event_id)"
|
|
|
|
" VALUES (?, ?)",
|
2019-03-28 09:37:16 -04:00
|
|
|
[(room_id, event_id) for event_id, in new_backwards_extrems],
|
2016-07-15 09:23:15 -04:00
|
|
|
)
|
|
|
|
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] finding redundant state groups")
|
2017-05-10 12:46:41 -04:00
|
|
|
|
2018-10-12 15:43:18 -04:00
|
|
|
# Get all state groups that are referenced by events that are to be
|
|
|
|
# deleted. We then go and check if they are referenced by other events
|
|
|
|
# or state groups, and if not we delete them.
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute(
|
|
|
|
"""
|
2018-10-12 15:43:18 -04:00
|
|
|
SELECT DISTINCT state_group FROM events_to_purge
|
|
|
|
INNER JOIN event_to_state_groups USING (event_id)
|
2019-03-28 09:37:16 -04:00
|
|
|
"""
|
|
|
|
)
|
2016-09-05 09:49:08 -04:00
|
|
|
|
2018-10-19 11:06:59 -04:00
|
|
|
referenced_state_groups = set(sg for sg, in txn)
|
2018-10-12 15:43:18 -04:00
|
|
|
logger.info(
|
2019-03-28 09:37:16 -04:00
|
|
|
"[purge] found %i referenced state groups", len(referenced_state_groups)
|
2018-10-12 15:43:18 -04:00
|
|
|
)
|
2018-10-04 10:18:52 -04:00
|
|
|
|
2018-10-12 15:43:18 -04:00
|
|
|
logger.info("[purge] finding state groups that can be deleted")
|
2018-10-04 10:18:52 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
_ = self._find_unreferenced_groups_during_purge(txn, referenced_state_groups)
|
|
|
|
state_groups_to_delete, remaining_state_groups = _
|
2018-10-04 10:18:52 -04:00
|
|
|
|
|
|
|
logger.info(
|
2019-03-28 09:37:16 -04:00
|
|
|
"[purge] found %i state groups to delete", len(state_groups_to_delete)
|
2018-10-04 10:18:52 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
logger.info(
|
|
|
|
"[purge] de-delta-ing %i remaining state groups",
|
|
|
|
len(remaining_state_groups),
|
|
|
|
)
|
2016-09-05 09:49:08 -04:00
|
|
|
|
2017-05-11 05:56:12 -04:00
|
|
|
# Now we turn the state groups that reference to-be-deleted state
|
|
|
|
# groups to non delta versions.
|
|
|
|
for sg in remaining_state_groups:
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] de-delta-ing remaining state group %s", sg)
|
2019-03-28 09:37:16 -04:00
|
|
|
curr_state = self._get_state_groups_from_groups_txn(txn, [sg])
|
2017-05-11 05:56:12 -04:00
|
|
|
curr_state = curr_state[sg]
|
2016-09-05 09:49:08 -04:00
|
|
|
|
|
|
|
self._simple_delete_txn(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, table="state_groups_state", keyvalues={"state_group": sg}
|
2016-09-05 09:49:08 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
self._simple_delete_txn(
|
2019-03-28 09:37:16 -04:00
|
|
|
txn, table="state_group_edges", keyvalues={"state_group": sg}
|
2016-09-05 09:49:08 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
self._simple_insert_many_txn(
|
|
|
|
txn,
|
|
|
|
table="state_groups_state",
|
|
|
|
values=[
|
|
|
|
{
|
2017-05-11 05:56:12 -04:00
|
|
|
"state_group": sg,
|
2016-09-05 09:49:08 -04:00
|
|
|
"room_id": room_id,
|
|
|
|
"type": key[0],
|
|
|
|
"state_key": key[1],
|
|
|
|
"event_id": state_id,
|
|
|
|
}
|
2018-05-31 05:03:47 -04:00
|
|
|
for key, state_id in iteritems(curr_state)
|
2016-09-05 09:49:08 -04:00
|
|
|
],
|
|
|
|
)
|
|
|
|
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] removing redundant state groups")
|
2016-09-05 09:49:08 -04:00
|
|
|
txn.executemany(
|
|
|
|
"DELETE FROM state_groups_state WHERE state_group = ?",
|
2018-10-12 15:43:18 -04:00
|
|
|
((sg,) for sg in state_groups_to_delete),
|
2016-09-05 09:49:08 -04:00
|
|
|
)
|
|
|
|
txn.executemany(
|
|
|
|
"DELETE FROM state_groups WHERE id = ?",
|
2018-10-12 15:43:18 -04:00
|
|
|
((sg,) for sg in state_groups_to_delete),
|
2016-09-05 09:49:08 -04:00
|
|
|
)
|
2017-05-10 12:46:41 -04:00
|
|
|
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] removing events from event_to_state_groups")
|
2018-02-14 06:02:22 -05:00
|
|
|
txn.execute(
|
|
|
|
"DELETE FROM event_to_state_groups "
|
|
|
|
"WHERE event_id IN (SELECT event_id from events_to_purge)"
|
2016-07-04 11:02:50 -04:00
|
|
|
)
|
2018-02-07 12:40:29 -05:00
|
|
|
for event_id, _ in event_rows:
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.call_after(self._get_state_group_for_event.invalidate, (event_id,))
|
2016-07-04 11:02:50 -04:00
|
|
|
|
|
|
|
# Delete all remote non-state events
|
|
|
|
for table in (
|
|
|
|
"events",
|
|
|
|
"event_json",
|
|
|
|
"event_auth",
|
|
|
|
"event_edges",
|
|
|
|
"event_forward_extremities",
|
|
|
|
"event_reference_hashes",
|
|
|
|
"event_search",
|
|
|
|
"rejections",
|
|
|
|
):
|
2018-02-13 11:51:21 -05:00
|
|
|
logger.info("[purge] removing events from %s", table)
|
2017-05-10 12:46:41 -04:00
|
|
|
|
2018-02-14 06:02:22 -05:00
|
|
|
txn.execute(
|
|
|
|
"DELETE FROM %s WHERE event_id IN ("
|
|
|
|
" SELECT event_id FROM events_to_purge WHERE should_delete"
|
2019-03-28 09:37:16 -04:00
|
|
|
")" % (table,)
|
2016-07-04 11:02:50 -04:00
|
|
|
)
|
|
|
|
|
2018-02-14 10:44:51 -05:00
|
|
|
# event_push_actions lacks an index on event_id, and has one on
|
|
|
|
# (room_id, event_id) instead.
|
2019-03-28 09:37:16 -04:00
|
|
|
for table in ("event_push_actions",):
|
2018-02-14 10:44:51 -05:00
|
|
|
logger.info("[purge] removing events from %s", table)
|
|
|
|
|
|
|
|
txn.execute(
|
|
|
|
"DELETE FROM %s WHERE room_id = ? AND event_id IN ("
|
|
|
|
" SELECT event_id FROM events_to_purge WHERE should_delete"
|
|
|
|
")" % (table,),
|
2019-03-28 09:37:16 -04:00
|
|
|
(room_id,),
|
2018-02-14 10:44:51 -05:00
|
|
|
)
|
|
|
|
|
2016-07-04 11:02:50 -04:00
|
|
|
# Mark all state and own events as outliers
|
2018-02-07 12:34:35 -05:00
|
|
|
logger.info("[purge] marking remaining events as outliers")
|
2018-02-14 06:02:22 -05:00
|
|
|
txn.execute(
|
2016-07-04 11:02:50 -04:00
|
|
|
"UPDATE events SET outlier = ?"
|
2018-02-14 06:02:22 -05:00
|
|
|
" WHERE event_id IN ("
|
|
|
|
" SELECT event_id FROM events_to_purge "
|
|
|
|
" WHERE NOT should_delete"
|
|
|
|
")",
|
|
|
|
(True,),
|
|
|
|
)
|
|
|
|
|
2018-02-09 07:13:34 -05:00
|
|
|
# synapse tries to take out an exclusive lock on room_depth whenever it
|
|
|
|
# persists events (because upsert), and once we run this update, we
|
|
|
|
# will block that for the rest of our transaction.
|
|
|
|
#
|
|
|
|
# So, let's stick it at the end so that we don't block event
|
|
|
|
# persistence.
|
2018-05-16 06:13:31 -04:00
|
|
|
#
|
|
|
|
# We do this by calculating the minimum depth of the backwards
|
|
|
|
# extremities. However, the events in event_backward_extremities
|
|
|
|
# are ones we don't have yet so we need to look at the events that
|
|
|
|
# point to it via event_edges table.
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute(
|
|
|
|
"""
|
2018-05-15 10:48:40 -04:00
|
|
|
SELECT COALESCE(MIN(depth), 0)
|
|
|
|
FROM event_backward_extremities AS eb
|
|
|
|
INNER JOIN event_edges AS eg ON eg.prev_event_id = eb.event_id
|
|
|
|
INNER JOIN events AS e ON e.event_id = eg.event_id
|
|
|
|
WHERE eb.room_id = ?
|
2019-03-28 09:37:16 -04:00
|
|
|
""",
|
|
|
|
(room_id,),
|
|
|
|
)
|
2018-05-15 10:48:40 -04:00
|
|
|
min_depth, = txn.fetchone()
|
|
|
|
|
|
|
|
logger.info("[purge] updating room_depth to %d", min_depth)
|
|
|
|
|
2018-02-09 07:13:34 -05:00
|
|
|
txn.execute(
|
|
|
|
"UPDATE room_depth SET min_depth = ? WHERE room_id = ?",
|
2019-03-28 09:37:16 -04:00
|
|
|
(min_depth, room_id),
|
2018-02-09 07:13:34 -05:00
|
|
|
)
|
|
|
|
|
2018-02-14 11:41:12 -05:00
|
|
|
# finally, drop the temp table. this will commit the txn in sqlite,
|
|
|
|
# so make sure to keep this actually last.
|
2019-03-28 09:37:16 -04:00
|
|
|
txn.execute("DROP TABLE events_to_purge")
|
2018-02-14 11:41:12 -05:00
|
|
|
|
2017-05-11 07:06:28 -04:00
|
|
|
logger.info("[purge] done")
|
2017-05-10 12:46:41 -04:00
|
|
|
|
2018-10-29 10:23:34 -04:00
|
|
|
def _find_unreferenced_groups_during_purge(self, txn, state_groups):
|
|
|
|
"""Used when purging history to figure out which state groups can be
|
|
|
|
deleted and which need to be de-delta'ed (due to one of its prev groups
|
|
|
|
being scheduled for deletion).
|
|
|
|
|
|
|
|
Args:
|
|
|
|
txn
|
|
|
|
state_groups (set[int]): Set of state groups referenced by events
|
|
|
|
that are going to be deleted.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
tuple[set[int], set[int]]: The set of state groups that can be
|
|
|
|
deleted and the set of state groups that need to be de-delta'ed
|
|
|
|
"""
|
|
|
|
# Graph of state group -> previous group
|
|
|
|
graph = {}
|
|
|
|
|
|
|
|
# Set of events that we have found to be referenced by events
|
|
|
|
referenced_groups = set()
|
|
|
|
|
|
|
|
# Set of state groups we've already seen
|
|
|
|
state_groups_seen = set(state_groups)
|
|
|
|
|
|
|
|
# Set of state groups to handle next.
|
|
|
|
next_to_search = set(state_groups)
|
|
|
|
while next_to_search:
|
|
|
|
# We bound size of groups we're looking up at once, to stop the
|
|
|
|
# SQL query getting too big
|
|
|
|
if len(next_to_search) < 100:
|
|
|
|
current_search = next_to_search
|
|
|
|
next_to_search = set()
|
|
|
|
else:
|
|
|
|
current_search = set(itertools.islice(next_to_search, 100))
|
|
|
|
next_to_search -= current_search
|
|
|
|
|
|
|
|
# Check if state groups are referenced
|
|
|
|
sql = """
|
|
|
|
SELECT DISTINCT state_group FROM event_to_state_groups
|
|
|
|
LEFT JOIN events_to_purge AS ep USING (event_id)
|
|
|
|
WHERE state_group IN (%s) AND ep.event_id IS NULL
|
2019-03-28 09:37:16 -04:00
|
|
|
""" % (
|
|
|
|
",".join("?" for _ in current_search),
|
|
|
|
)
|
2018-10-29 10:23:34 -04:00
|
|
|
txn.execute(sql, list(current_search))
|
|
|
|
|
|
|
|
referenced = set(sg for sg, in txn)
|
|
|
|
referenced_groups |= referenced
|
|
|
|
|
|
|
|
# We don't continue iterating up the state group graphs for state
|
|
|
|
# groups that are referenced.
|
|
|
|
current_search -= referenced
|
|
|
|
|
|
|
|
rows = self._simple_select_many_txn(
|
|
|
|
txn,
|
|
|
|
table="state_group_edges",
|
|
|
|
column="prev_state_group",
|
|
|
|
iterable=current_search,
|
|
|
|
keyvalues={},
|
2019-03-28 09:37:16 -04:00
|
|
|
retcols=("prev_state_group", "state_group"),
|
2018-10-29 10:23:34 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
prevs = set(row["state_group"] for row in rows)
|
|
|
|
# We don't bother re-handling groups we've already seen
|
|
|
|
prevs -= state_groups_seen
|
|
|
|
next_to_search |= prevs
|
|
|
|
state_groups_seen |= prevs
|
|
|
|
|
|
|
|
for row in rows:
|
|
|
|
# Note: Each state group can have at most one prev group
|
|
|
|
graph[row["state_group"]] = row["prev_state_group"]
|
|
|
|
|
|
|
|
to_delete = state_groups_seen - referenced_groups
|
|
|
|
|
|
|
|
to_dedelta = set()
|
|
|
|
for sg in referenced_groups:
|
|
|
|
prev_sg = graph.get(sg)
|
|
|
|
if prev_sg and prev_sg in to_delete:
|
|
|
|
to_dedelta.add(sg)
|
|
|
|
|
|
|
|
return to_delete, to_dedelta
|
|
|
|
|
2017-04-11 12:34:09 -04:00
|
|
|
@defer.inlineCallbacks
|
|
|
|
def is_event_after(self, event_id1, event_id2):
|
2017-04-12 09:36:20 -04:00
|
|
|
"""Returns True if event_id1 is after event_id2 in the stream
|
|
|
|
"""
|
2017-04-11 12:34:09 -04:00
|
|
|
to_1, so_1 = yield self._get_event_ordering(event_id1)
|
|
|
|
to_2, so_2 = yield self._get_event_ordering(event_id2)
|
2017-04-13 08:46:17 -04:00
|
|
|
defer.returnValue((to_1, so_1) > (to_2, so_2))
|
2017-04-11 12:34:09 -04:00
|
|
|
|
2018-03-01 10:30:57 -05:00
|
|
|
@cachedInlineCallbacks(max_entries=5000)
|
2017-04-11 12:34:09 -04:00
|
|
|
def _get_event_ordering(self, event_id):
|
|
|
|
res = yield self._simple_select_one(
|
|
|
|
table="events",
|
|
|
|
retcols=["topological_ordering", "stream_ordering"],
|
|
|
|
keyvalues={"event_id": event_id},
|
2019-03-28 09:37:16 -04:00
|
|
|
allow_none=True,
|
2017-04-11 12:34:09 -04:00
|
|
|
)
|
|
|
|
|
|
|
|
if not res:
|
|
|
|
raise SynapseError(404, "Could not find event %s" % (event_id,))
|
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
defer.returnValue(
|
|
|
|
(int(res["topological_ordering"]), int(res["stream_ordering"]))
|
|
|
|
)
|
2016-03-31 05:33:02 -04:00
|
|
|
|
2017-06-15 07:47:05 -04:00
|
|
|
def get_all_updated_current_state_deltas(self, from_token, to_token, limit):
|
|
|
|
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 <= ?
|
|
|
|
ORDER BY stream_id ASC LIMIT ?
|
|
|
|
"""
|
|
|
|
txn.execute(sql, (from_token, to_token, limit))
|
|
|
|
return txn.fetchall()
|
2019-03-28 09:37:16 -04:00
|
|
|
|
2017-06-15 07:47:05 -04:00
|
|
|
return self.runInteraction(
|
|
|
|
"get_all_updated_current_state_deltas",
|
|
|
|
get_all_updated_current_state_deltas_txn,
|
|
|
|
)
|
|
|
|
|
2017-04-11 13:35:45 -04:00
|
|
|
|
2019-03-28 09:37:16 -04:00
|
|
|
AllNewEventsResult = namedtuple(
|
|
|
|
"AllNewEventsResult",
|
|
|
|
[
|
|
|
|
"new_forward_events",
|
|
|
|
"new_backfill_events",
|
|
|
|
"forward_ex_outliers",
|
|
|
|
"backward_ex_outliers",
|
|
|
|
],
|
|
|
|
)
|