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synapse-old/synapse/storage/events.py

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# -*- coding: utf-8 -*-
# Copyright 2014-2016 OpenMarket Ltd
# Copyright 2018 New Vector Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from collections import OrderedDict, deque, namedtuple
from functools import wraps
import itertools
import logging
import simplejson as json
from twisted.internet import defer
from synapse.storage.events_worker import EventsWorkerStore
from synapse.storage.chunk_ordered_table import ChunkDBOrderedListStore
from synapse.util.async import ObservableDeferred
from synapse.util.frozenutils import frozendict_json_encoder
from synapse.util.logcontext import (
PreserveLoggingContext, make_deferred_yieldable,
)
from synapse.util.logutils import log_function
from synapse.util.metrics import Measure
from synapse.api.constants import EventTypes
from synapse.api.errors import SynapseError
from synapse.util.caches.descriptors import cached, cachedInlineCallbacks
from synapse.types import get_domain_from_id, RoomStreamToken
import synapse.metrics
# these are only included to make the type annotations work
from synapse.events import EventBase # noqa: F401
from synapse.events.snapshot import EventContext # noqa: F401
logger = logging.getLogger(__name__)
metrics = synapse.metrics.get_metrics_for(__name__)
persist_event_counter = metrics.register_counter("persisted_events")
event_counter = metrics.register_counter(
"persisted_events_sep", labels=["type", "origin_type", "origin_entity"]
)
# The number of times we are recalculating the current state
state_delta_counter = metrics.register_counter(
"state_delta",
)
# The number of times we are recalculating state when there is only a
# single forward extremity
state_delta_single_event_counter = metrics.register_counter(
"state_delta_single_event",
)
# The number of times we are reculating state when we could have resonably
# calculated the delta when we calculated the state for an event we were
# persisting.
state_delta_reuse_delta_counter = metrics.register_counter(
"state_delta_reuse_delta",
)
def encode_json(json_object):
return frozendict_json_encoder.encode(json_object)
class _EventPeristenceQueue(object):
"""Queues up events so that they can be persisted in bulk with only one
concurrent transaction per room.
"""
_EventPersistQueueItem = namedtuple("_EventPersistQueueItem", (
"events_and_contexts", "backfilled", "deferred",
))
def __init__(self):
self._event_persist_queues = {}
self._currently_persisting_rooms = set()
def add_to_queue(self, room_id, events_and_contexts, backfilled):
"""Add events to the queue, with the given persist_event options.
NB: due to the normal usage pattern of this method, it does *not*
follow the synapse logcontext rules, and leaves the logcontext in
place whether or not the returned deferred is ready.
Args:
room_id (str):
events_and_contexts (list[(EventBase, EventContext)]):
backfilled (bool):
Returns:
defer.Deferred: a deferred which will resolve once the events are
persisted. Runs its callbacks *without* a logcontext.
"""
queue = self._event_persist_queues.setdefault(room_id, deque())
if queue:
# if the last item in the queue has the same `backfilled` setting,
# we can just add these new events to that item.
end_item = queue[-1]
if end_item.backfilled == backfilled:
end_item.events_and_contexts.extend(events_and_contexts)
return end_item.deferred.observe()
deferred = ObservableDeferred(defer.Deferred(), consumeErrors=True)
queue.append(self._EventPersistQueueItem(
events_and_contexts=events_and_contexts,
backfilled=backfilled,
deferred=deferred,
))
return deferred.observe()
def handle_queue(self, room_id, per_item_callback):
"""Attempts to handle the queue for a room if not already being handled.
The given callback will be invoked with for each item in the queue,
of type _EventPersistQueueItem. The per_item_callback will continuously
be called with new items, unless the queue becomnes empty. The return
value of the function will be given to the deferreds waiting on the item,
exceptions will be passed to the deferreds as well.
This function should therefore be called whenever anything is added
to the queue.
If another callback is currently handling the queue then it will not be
invoked.
"""
if room_id in self._currently_persisting_rooms:
return
self._currently_persisting_rooms.add(room_id)
@defer.inlineCallbacks
def handle_queue_loop():
try:
queue = self._get_drainining_queue(room_id)
for item in queue:
# handle_queue_loop runs in the sentinel logcontext, so
# there is no need to preserve_fn when running the
# callbacks on the deferred.
try:
ret = yield per_item_callback(item)
item.deferred.callback(ret)
except Exception:
item.deferred.errback()
finally:
queue = self._event_persist_queues.pop(room_id, None)
if queue:
self._event_persist_queues[room_id] = queue
self._currently_persisting_rooms.discard(room_id)
# set handle_queue_loop off on the background. We don't want to
# attribute work done in it to the current request, so we drop the
# logcontext altogether.
with PreserveLoggingContext():
handle_queue_loop()
def _get_drainining_queue(self, room_id):
queue = self._event_persist_queues.setdefault(room_id, deque())
try:
while True:
yield queue.popleft()
except IndexError:
# Queue has been drained.
pass
_EventCacheEntry = namedtuple("_EventCacheEntry", ("event", "redacted_event"))
def _retry_on_integrity_error(func):
"""Wraps a database function so that it gets retried on IntegrityError,
with `delete_existing=True` passed in.
Args:
func: function that returns a Deferred and accepts a `delete_existing` arg
"""
@wraps(func)
@defer.inlineCallbacks
def f(self, *args, **kwargs):
try:
res = yield func(self, *args, **kwargs)
except self.database_engine.module.IntegrityError:
logger.exception("IntegrityError, retrying.")
res = yield func(self, *args, delete_existing=True, **kwargs)
defer.returnValue(res)
return f
class EventsStore(EventsWorkerStore):
EVENT_ORIGIN_SERVER_TS_NAME = "event_origin_server_ts"
EVENT_FIELDS_SENDER_URL_UPDATE_NAME = "event_fields_sender_url"
EVENT_FIELDS_CHUNK = "event_fields_chunk_id"
def __init__(self, db_conn, hs):
super(EventsStore, self).__init__(db_conn, hs)
self.register_background_update_handler(
self.EVENT_ORIGIN_SERVER_TS_NAME, self._background_reindex_origin_server_ts
)
self.register_background_update_handler(
self.EVENT_FIELDS_SENDER_URL_UPDATE_NAME,
self._background_reindex_fields_sender,
)
self.register_background_index_update(
"event_contains_url_index",
index_name="event_contains_url_index",
table="events",
columns=["room_id", "topological_ordering", "stream_ordering"],
where_clause="contains_url = true AND outlier = false",
)
# an event_id index on event_search is useful for the purge_history
# api. Plus it means we get to enforce some integrity with a UNIQUE
# clause
self.register_background_index_update(
"event_search_event_id_idx",
index_name="event_search_event_id_idx",
table="event_search",
columns=["event_id"],
unique=True,
psql_only=True,
)
self.register_background_index_update(
"events_chunk_index",
index_name="events_chunk_index",
table="events",
columns=["room_id", "chunk_id", "topological_ordering", "stream_ordering"],
unique=True,
psql_only=True,
)
self.register_background_update_handler(
self.EVENT_FIELDS_CHUNK,
self._background_compute_chunks,
)
self._event_persist_queue = _EventPeristenceQueue()
self._state_resolution_handler = hs.get_state_resolution_handler()
def persist_events(self, events_and_contexts, backfilled=False):
"""
Write events to the database
Args:
events_and_contexts: list of tuples of (event, context)
backfilled: ?
"""
partitioned = {}
for event, ctx in events_and_contexts:
partitioned.setdefault(event.room_id, []).append((event, ctx))
deferreds = []
for room_id, evs_ctxs in partitioned.iteritems():
d = self._event_persist_queue.add_to_queue(
room_id, evs_ctxs,
backfilled=backfilled,
)
deferreds.append(d)
for room_id in partitioned:
self._maybe_start_persisting(room_id)
return make_deferred_yieldable(
defer.gatherResults(deferreds, consumeErrors=True)
)
@defer.inlineCallbacks
@log_function
def persist_event(self, event, context, backfilled=False):
"""
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
"""
deferred = self._event_persist_queue.add_to_queue(
event.room_id, [(event, context)],
backfilled=backfilled,
)
self._maybe_start_persisting(event.room_id)
yield make_deferred_yieldable(deferred)
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
def persisting_queue(item):
with Measure(self._clock, "persist_events"):
yield self._persist_events(
item.events_and_contexts,
backfilled=item.backfilled,
)
self._event_persist_queue.handle_queue(room_id, persisting_queue)
@_retry_on_integrity_error
@defer.inlineCallbacks
def _persist_events(self, events_and_contexts, backfilled=False,
delete_existing=False):
"""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
"""
if not events_and_contexts:
return
if backfilled:
stream_ordering_manager = self._backfill_id_gen.get_next_mult(
len(events_and_contexts)
)
else:
stream_ordering_manager = self._stream_id_gen.get_next_mult(
len(events_and_contexts)
)
with stream_ordering_manager as stream_orderings:
for (event, context), stream, in zip(
events_and_contexts, stream_orderings
):
event.internal_metadata.stream_ordering = stream
chunks = [
events_and_contexts[x:x + 100]
for x in xrange(0, len(events_and_contexts), 100)
]
for chunk in chunks:
# We can't easily parallelize these since different chunks
# might contain the same event. :(
# NB: Assumes that we are only persisting events for one room
# at a time.
# map room_id->list[event_ids] giving the new forward
# extremities in each room
new_forward_extremeties = {}
# map room_id->(type,state_key)->event_id tracking the full
# state in each room after adding these events
current_state_for_room = {}
# map room_id->(to_delete, to_insert) where each entry is
# a map (type,key)->event_id giving the state delta in each
# room
state_delta_for_room = {}
if not backfilled:
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)
)
for room_id, ev_ctx_rm in events_by_room.iteritems():
# Work out new extremities by recursively adding and removing
# the new events.
latest_event_ids = yield self.get_latest_event_ids_in_room(
room_id
)
new_latest_event_ids = yield self._calculate_new_extremeties(
room_id, ev_ctx_rm, latest_event_ids
)
latest_event_ids = set(latest_event_ids)
if new_latest_event_ids == latest_event_ids:
# No change in extremities, so no change in state
continue
new_forward_extremeties[room_id] = new_latest_event_ids
len_1 = (
len(latest_event_ids) == 1
and len(new_latest_event_ids) == 1
)
if len_1:
all_single_prev_not_state = all(
len(event.prev_events) == 1
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
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
# 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.
for ev, _ in ev_ctx_rm:
prev_event_ids = set(e for e, _ in ev.prev_events)
if latest_event_ids == prev_event_ids:
state_delta_reuse_delta_counter.inc()
break
logger.info(
"Calculating state delta for room %s", room_id,
)
current_state = yield self._get_new_state_after_events(
room_id,
ev_ctx_rm,
latest_event_ids,
new_latest_event_ids,
)
if current_state is not None:
current_state_for_room[room_id] = current_state
delta = yield self._calculate_state_delta(
room_id, current_state,
)
if delta is not None:
state_delta_for_room[room_id] = delta
yield self.runInteraction(
"persist_events",
self._persist_events_txn,
events_and_contexts=chunk,
backfilled=backfilled,
delete_existing=delete_existing,
state_delta_for_room=state_delta_for_room,
new_forward_extremeties=new_forward_extremeties,
)
persist_event_counter.inc_by(len(chunk))
synapse.metrics.event_persisted_position.set(
chunk[-1][0].internal_metadata.stream_ordering,
)
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)
event_counter.inc(event.type, origin_type, origin_entity)
for room_id, new_state in current_state_for_room.iteritems():
self.get_current_state_ids.prefill(
(room_id, ), new_state
)
for room_id, latest_event_ids in new_forward_extremeties.iteritems():
self.get_latest_event_ids_in_room.prefill(
(room_id,), list(latest_event_ids)
)
@defer.inlineCallbacks
def _calculate_new_extremeties(self, room_id, event_contexts, latest_event_ids):
"""Calculates the new forward extremeties for a room given events to
persist.
Assumes that we are only persisting events for one room at a time.
"""
new_latest_event_ids = set(latest_event_ids)
# First, add all the new events to the list
new_latest_event_ids.update(
event.event_id for event, ctx in event_contexts
if not event.internal_metadata.is_outlier() and not ctx.rejected
)
# Now remove all events that are referenced by the to-be-added events
new_latest_event_ids.difference_update(
e_id
for event, ctx in event_contexts
for e_id, _ in event.prev_events
if not event.internal_metadata.is_outlier() and not ctx.rejected
)
# And finally remove any events that are referenced by previously added
# events.
rows = yield self._simple_select_many_batch(
table="event_edges",
column="prev_event_id",
iterable=list(new_latest_event_ids),
retcols=["prev_event_id"],
keyvalues={
"room_id": room_id,
"is_state": False,
},
desc="_calculate_new_extremeties",
)
new_latest_event_ids.difference_update(
row["prev_event_id"] for row in rows
)
defer.returnValue(new_latest_event_ids)
@defer.inlineCallbacks
def _get_new_state_after_events(self, room_id, events_context, old_latest_event_ids,
new_latest_event_ids):
"""Calculate the current state dict after adding some new events to
a room
Args:
room_id (str):
room to which the events are being added. Used for logging etc
events_context (list[(EventBase, EventContext)]):
events and contexts which are being added to the room
old_latest_event_ids (iterable[str]):
the old forward extremities for the room.
new_latest_event_ids (iterable[str]):
the new forward extremities for the room.
Returns:
Deferred[dict[(str,str), str]|None]:
None if there are no changes to the room state, or
a dict of (type, state_key) -> event_id].
"""
if not new_latest_event_ids:
return
# map from state_group to ((type, key) -> event_id) state map
state_groups_map = {}
for ev, ctx in events_context:
if ctx.state_group is None:
# I don't think this can happen, but let's double-check
raise Exception(
"Context for new extremity event %s has no state "
"group" % (ev.event_id, ),
)
if ctx.state_group in state_groups_map:
continue
state_groups_map[ctx.state_group] = ctx.current_state_ids
# 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.
# 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 = {}
for event_id in new_latest_event_ids:
# First search in the list of new events we're adding.
for ev, ctx in events_context:
if event_id == ev.event_id:
event_id_to_state_group[event_id] = ctx.state_group
break
else:
# If we couldn't find it, then we'll need to pull
# the state from the database
missing_event_ids.add(event_id)
if missing_event_ids:
# Now pull out the state groups for any missing events from DB
event_to_groups = yield self._get_state_group_for_events(
missing_event_ids,
)
event_id_to_state_group.update(event_to_groups)
# State groups of old_latest_event_ids
old_state_groups = set(
event_id_to_state_group[evid] for evid in old_latest_event_ids
)
# 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:
return
# 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:
# If there is only one state group, then we know what the current
# state is.
defer.returnValue(state_groups_map[new_state_groups.pop()])
# Ok, we need to defer to the state handler to resolve our state sets.
def get_events(ev_ids):
return self.get_events(
ev_ids, get_prev_content=False, check_redacted=False,
)
state_groups = {
sg: state_groups_map[sg] for sg in new_state_groups
}
events_map = {ev.event_id: ev for ev, _ in events_context}
logger.debug("calling resolve_state_groups from preserve_events")
res = yield self._state_resolution_handler.resolve_state_groups(
room_id, state_groups, events_map, get_events
)
defer.returnValue(res.state)
@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:
2-tuple (to_delete, to_insert) where both are state dicts,
i.e. (type, state_key) -> event_id. `to_delete` are the entries to
first be deleted from current_state_events, `to_insert` are entries
to insert.
"""
existing_state = yield self.get_current_state_ids(room_id)
existing_events = set(existing_state.itervalues())
new_events = set(ev_id for ev_id in current_state.itervalues())
changed_events = existing_events ^ new_events
if not changed_events:
return
to_delete = {
key: ev_id for key, ev_id in existing_state.iteritems()
if ev_id in changed_events
}
events_to_insert = (new_events - existing_events)
to_insert = {
key: ev_id for key, ev_id in current_state.iteritems()
if ev_id in events_to_insert
}
defer.returnValue((to_delete, to_insert))
@log_function
def _persist_events_txn(self, txn, events_and_contexts, backfilled,
delete_existing=False, state_delta_for_room={},
new_forward_extremeties={}):
"""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.
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.
state_delta_for_room (dict[str, (list[str], list[str])]):
The current-state delta for each room. For each room, a tuple
(to_delete, to_insert), being a list of event ids to be removed
from the current state, and a list of event ids to be added to
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.
"""
all_events_and_contexts = events_and_contexts
max_stream_order = events_and_contexts[-1][0].internal_metadata.stream_ordering
self._update_current_state_txn(txn, state_delta_for_room, max_stream_order)
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(
events_and_contexts,
)
self._update_room_depths_txn(
txn,
events_and_contexts=events_and_contexts,
backfilled=backfilled,
)
# _update_outliers_txn filters out any events which have already been
# persisted, and returns the filtered list.
events_and_contexts = self._update_outliers_txn(
txn,
events_and_contexts=events_and_contexts,
)
# 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.
self._delete_existing_rows_txn(
txn,
events_and_contexts=events_and_contexts,
)
self._store_event_txn(
txn,
events_and_contexts=events_and_contexts,
)
# Insert into event_to_state_groups.
self._store_event_state_mappings_txn(txn, events_and_contexts)
# _store_rejected_events_txn filters out any events which were
# rejected, and returns the filtered list.
events_and_contexts = self._store_rejected_events_txn(
txn,
events_and_contexts=events_and_contexts,
)
# 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,
all_events_and_contexts=all_events_and_contexts,
backfilled=backfilled,
)
def _update_current_state_txn(self, txn, state_delta_by_room, max_stream_order):
for room_id, current_state_tuple in state_delta_by_room.iteritems():
to_delete, to_insert = current_state_tuple
txn.executemany(
"DELETE FROM current_state_events WHERE event_id = ?",
[(ev_id,) for ev_id in to_delete.itervalues()],
)
self._simple_insert_many_txn(
txn,
table="current_state_events",
values=[
{
"event_id": ev_id,
"room_id": room_id,
"type": key[0],
"state_key": key[1],
}
for key, ev_id in to_insert.iteritems()
],
)
state_deltas = {key: None for key in to_delete}
state_deltas.update(to_insert)
self._simple_insert_many_txn(
txn,
table="current_state_delta_stream",
values=[
{
"stream_id": max_stream_order,
"room_id": room_id,
"type": key[0],
"state_key": key[1],
"event_id": ev_id,
"prev_event_id": to_delete.get(key, None),
}
for key, ev_id in state_deltas.iteritems()
]
)
self._curr_state_delta_stream_cache.entity_has_changed(
room_id, max_stream_order,
)
# 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 state_deltas
if ev_type == EventTypes.Member
)
for member in members_changed:
self._invalidate_cache_and_stream(
txn, self.get_rooms_for_user_with_stream_ordering, (member,)
)
for host in set(get_domain_from_id(u) for u in members_changed):
self._invalidate_cache_and_stream(
txn, self.is_host_joined, (room_id, host)
)
self._invalidate_cache_and_stream(
txn, self.was_host_joined, (room_id, host)
)
self._invalidate_cache_and_stream(
txn, self.get_users_in_room, (room_id,)
)
self._invalidate_cache_and_stream(
txn, self.get_current_state_ids, (room_id,)
)
def _update_forward_extremities_txn(self, txn, new_forward_extremities,
max_stream_order):
for room_id, new_extrem in new_forward_extremities.iteritems():
self._simple_delete_txn(
txn,
table="event_forward_extremities",
keyvalues={"room_id": room_id},
)
txn.call_after(
self.get_latest_event_ids_in_room.invalidate, (room_id,)
)
self._simple_insert_many_txn(
txn,
table="event_forward_extremities",
values=[
{
"event_id": ev_id,
"room_id": room_id,
}
for room_id, new_extrem in new_forward_extremities.iteritems()
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,
}
for room_id, new_extrem in new_forward_extremities.iteritems()
for event_id in new_extrem
]
)
@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
"""
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)
return new_events_and_contexts.values()
def _update_room_depths_txn(self, txn, events_and_contexts, backfilled):
"""Update min_depth for each room
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
"""
depth_updates = {}
for event, context in events_and_contexts:
# Remove the any existing cache entries for the event_ids
txn.call_after(self._invalidate_get_event_cache, event.event_id)
if not backfilled:
txn.call_after(
self._events_stream_cache.entity_has_changed,
event.room_id, event.internal_metadata.stream_ordering,
)
if not event.internal_metadata.is_outlier() and not context.rejected:
depth_updates[event.room_id] = max(
event.depth, depth_updates.get(event.room_id, event.depth)
)
for room_id, depth in depth_updates.iteritems():
self._update_min_depth_for_room_txn(txn, room_id, depth)
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.
"""
txn.execute(
"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]
)
have_persisted = {
event_id: outlier
for event_id, outlier in txn
}
to_remove = set()
for event, context in events_and_contexts:
if event.event_id not in have_persisted:
continue
to_remove.add(event)
if context.rejected:
# If the event is rejected then we don't care if the event
# was an outlier or not.
continue
outlier_persisted = have_persisted[event.event_id]
if not event.internal_metadata.is_outlier() and outlier_persisted:
# 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.
# insert into event_to_state_groups.
try:
self._store_event_state_mappings_txn(txn, ((event, context),))
except Exception:
logger.exception("")
raise
metadata_json = encode_json(
event.internal_metadata.get_dict()
).decode("UTF-8")
sql = (
"UPDATE event_json SET internal_metadata = ?"
" WHERE event_id = ?"
)
txn.execute(
sql,
(metadata_json, event.event_id,)
)
# Add an entry to the ex_outlier_stream table to replicate the
# change in outlier status to our workers.
stream_order = event.internal_metadata.stream_ordering
state_group_id = context.state_group
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,
}
)
chunk_id, topo = self._compute_chunk_id_txn(
txn, event.room_id, event.event_id,
[eid for eid, _ in event.prev_events],
)
self._simple_update_txn(
txn,
table="events",
keyvalues={"event_id": event.event_id},
updatevalues={
"outlier": False,
"chunk_id": chunk_id,
"topological_ordering": topo,
},
)
# Update the event_backward_extremities table now that this
# event isn't an outlier any more.
self._update_backward_extremeties(txn, [event])
return [
ec for ec in events_and_contexts if ec[0] not in to_remove
]
@classmethod
def _delete_existing_rows_txn(cls, txn, events_and_contexts):
if not events_and_contexts:
# nothing to do here
return
logger.info("Deleting existing")
for table in (
"events",
"event_auth",
"event_json",
"event_content_hashes",
"event_destinations",
"event_edge_hashes",
"event_edges",
"event_forward_extremities",
"event_push_actions",
"event_reference_hashes",
"event_search",
"event_signatures",
"event_to_state_groups",
"guest_access",
"history_visibility",
"local_invites",
"room_names",
"state_events",
"rejections",
"redactions",
"room_memberships",
"topics"
):
txn.executemany(
"DELETE FROM %s WHERE event_id = ?" % (table,),
[(ev.event_id,) for ev, _ in events_and_contexts]
)
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):
d = event.get_dict()
d.pop("redacted", None)
d.pop("redacted_because", None)
return d
self._simple_insert_many_txn(
txn,
table="event_json",
values=[
{
"event_id": event.event_id,
"room_id": event.room_id,
"internal_metadata": encode_json(
event.internal_metadata.get_dict()
).decode("UTF-8"),
"json": encode_json(event_dict(event)).decode("UTF-8"),
}
for event, _ in events_and_contexts
],
)
if event.internal_metadata.is_outlier():
chunk_id, topo = None, 0
else:
chunk_id, topo = self._compute_chunk_id_txn(
txn, event.room_id, event.event_id,
[eid for eid, _ in event.prev_events],
)
self._simple_insert_many_txn(
txn,
table="events",
values=[
{
"stream_ordering": event.internal_metadata.stream_ordering,
"chunk_id": chunk_id,
"topological_ordering": topo,
"depth": event.depth,
"event_id": event.event_id,
"room_id": event.room_id,
"type": event.type,
"processed": True,
"outlier": event.internal_metadata.is_outlier(),
"content": encode_json(event.content).decode("UTF-8"),
"origin_server_ts": int(event.origin_server_ts),
"received_ts": self._clock.time_msec(),
"sender": event.sender,
"contains_url": (
"url" in event.content
and isinstance(event.content["url"], basestring)
),
}
for event, _ in events_and_contexts
],
)
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.
"""
# Remove the rejected events from the list now that we've added them
# to the events table and the events_json table.
to_remove = set()
for event, context in events_and_contexts:
if context.rejected:
# Insert the event_id into the rejections table
self._store_rejections_txn(
txn, event.event_id, context.rejected
)
to_remove.add(event)
return [
ec for ec in events_and_contexts if ec[0] not in to_remove
]
def _update_metadata_tables_txn(self, txn, events_and_contexts,
all_events_and_contexts, backfilled):
"""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
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.
backfilled (bool): True if the events were backfilled
"""
# 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,
all_events_and_contexts=all_events_and_contexts,
)
if not events_and_contexts:
# nothing to do here
return
for event, context in events_and_contexts:
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
)
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
for auth_id, _ in event.auth_events
if event.is_state()
],
)
# Update the event_forward_extremities, event_backward_extremities and
# event_edges tables.
self._handle_mult_prev_events(
txn,
events=[event for event, _ in events_and_contexts],
)
for event, _ in events_and_contexts:
if event.type == EventTypes.Name:
# Insert into the room_names and event_search tables.
self._store_room_name_txn(txn, event)
elif event.type == EventTypes.Topic:
# Insert into the topics table and event_search table.
self._store_room_topic_txn(txn, event)
elif event.type == EventTypes.Message:
# Insert into the event_search table.
self._store_room_message_txn(txn, event)
elif event.type == EventTypes.Redaction:
# Insert into the redactions table.
self._store_redaction(txn, event)
elif event.type == EventTypes.RoomHistoryVisibility:
# Insert into the event_search table.
self._store_history_visibility_txn(txn, event)
elif event.type == EventTypes.GuestAccess:
# Insert into the event_search table.
self._store_guest_access_txn(txn, event)
# Insert into the room_memberships table.
self._store_room_members_txn(
txn,
[
event
for event, _ in events_and_contexts
if event.type == EventTypes.Member
],
backfilled=backfilled,
)
# Insert event_reference_hashes table.
self._store_event_reference_hashes_txn(
txn, [event for event, _ in events_and_contexts]
)
state_events_and_contexts = [
ec for ec in events_and_contexts if ec[0].is_state()
]
state_values = []
for event, context in state_events_and_contexts:
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
state_values.append(vals)
self._simple_insert_many_txn(
txn,
table="state_events",
values=state_values,
)
self._simple_insert_many_txn(
txn,
table="event_edges",
values=[
{
"event_id": event.event_id,
"prev_event_id": prev_id,
"room_id": event.room_id,
"is_state": True,
}
for event, _ in state_events_and_contexts
for prev_id, _ in event.prev_state
],
)
# Prefill the event cache
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):
ev_map = {
e[0].event_id: e[0]
for e in events_and_contexts[i:i + N]
}
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)),)
txn.execute(sql, ev_map.keys())
rows = self.cursor_to_dict(txn)
for row in rows:
event = ev_map[row["event_id"]]
if not row["rejects"] and not row["redacts"]:
to_prefill.append(_EventCacheEntry(
event=event,
redacted_event=None,
))
def prefill():
for cache_entry in to_prefill:
self._get_event_cache.prefill((cache_entry[0].event_id,), cache_entry)
txn.call_after(prefill)
def _store_redaction(self, txn, event):
# invalidate the cache for the redacted event
txn.call_after(self._invalidate_get_event_cache, event.redacts)
txn.execute(
"INSERT INTO redactions (event_id, redacts) VALUES (?,?)",
(event.event_id, event.redacts)
)
def _compute_chunk_id_txn(self, txn, room_id, event_id, prev_event_ids):
"""Computes the chunk ID and topological ordering for an event.
Also handles updating chunk_graph table.
Args:
txn,
room_id (str)
event_id (str)
prev_event_ids (list[str])
Returns:
tuple[int, int]: Returns the chunk_id, topological_ordering for
the event
"""
# We calculate the chunk for an event using the following rules:
#
# 1. If all prev events have the same chunk ID then use that chunk ID
# 2. If we have none of the prev events but do have events pointing to
# it, then we use their chunk ID if:
# - They’re all in the same chunk, and
# - All their prev events match the events being inserted
# 3. Otherwise, create a new chunk and use that
# Set of chunks that the event refers to. Includes None if there were
# prev events that we don't have (or don't have a chunk for)
prev_chunk_ids = set()
for eid in prev_event_ids:
chunk_id = self._simple_select_one_onecol_txn(
txn,
table="events",
keyvalues={"event_id": eid},
retcol="chunk_id",
allow_none=True,
)
prev_chunk_ids.add(chunk_id)
forward_events = self._simple_select_onecol_txn(
txn,
table="event_edges",
keyvalues={
"prev_event_id": event_id,
"is_state": False,
},
retcol="event_id",
)
# Set of chunks that refer to this event.
forward_chunk_ids = set()
# Set of event_ids of all prev_events of those in `forward_events`. This
# is guaranteed to contain at least the given event_id.
sibling_events = set()
for eid in set(forward_events):
chunk_id = self._simple_select_one_onecol_txn(
txn,
table="events",
keyvalues={"event_id": eid},
retcol="chunk_id",
allow_none=True,
)
if chunk_id is not None:
# chunk_id can be None if it's an outlier
forward_chunk_ids.add(chunk_id)
pes = self._simple_select_onecol_txn(
txn,
table="event_edges",
keyvalues={
"event_id": eid,
"is_state": False,
},
retcol="prev_event_id",
)
sibling_events.update(pes)
table = ChunkDBOrderedListStore(
txn, room_id, self.clock, self.database_engine,
)
# If there is only one previous chunk (and that isn't None), then this
# satisfies condition one.
if len(prev_chunk_ids) == 1 and None not in prev_chunk_ids:
chunk_id = list(prev_chunk_ids)[0]
# This event is being inserted at the end of the chunk
new_topo = self._simple_select_one_onecol_txn(
txn,
table="events",
keyvalues={
"room_id": room_id,
"chunk_id": chunk_id,
},
retcol="COALESCE(MAX(topological_ordering), 0)",
)
new_topo += 1
# We need to now update the database with any new edges between chunks
current_prev_ids = set()
current_forward_ids = self._simple_select_onecol_txn(
txn,
table="chunk_graph",
keyvalues={
"prev_id": chunk_id,
},
retcol="chunk_id",
)
# If there is only one forward chunk and only one sibling event (which
# would be the given event), then this satisfies condition two.
elif len(forward_chunk_ids) == 1 and len(sibling_events) == 1:
chunk_id = list(forward_chunk_ids)[0]
# This event is being inserted at the start of the chunk
new_topo = self._simple_select_one_onecol_txn(
txn,
table="events",
keyvalues={
"room_id": room_id,
"chunk_id": chunk_id,
},
retcol="COALESCE(MIN(topological_ordering), 0)",
)
new_topo -= 1
# We need to now update the database with any new edges between chunks
current_prev_ids = self._simple_select_onecol_txn(
txn,
table="chunk_graph",
keyvalues={
"chunk_id": chunk_id,
},
retcol="prev_id",
)
current_forward_ids = set()
else:
chunk_id = self._chunk_id_gen.get_next()
new_topo = 0
# We've generated a new chunk, so we have to tell the
# ChunkDBOrderedListStore about that.
table.add_node(chunk_id)
# We need to now update the database with any new edges between chunks
current_prev_ids = self._simple_select_onecol_txn(
txn,
table="chunk_graph",
keyvalues={
"chunk_id": chunk_id,
},
retcol="prev_id",
)
current_forward_ids = self._simple_select_onecol_txn(
txn,
table="chunk_graph",
keyvalues={
"prev_id": chunk_id,
},
retcol="chunk_id",
)
prev_chunk_ids = set(
pid for pid in prev_chunk_ids
if pid is not None and pid not in current_prev_ids and pid != chunk_id
)
forward_chunk_ids = set(
fid for fid in forward_chunk_ids
if fid not in current_forward_ids and fid != chunk_id
)
if prev_chunk_ids:
for pid in prev_chunk_ids:
# Note that the edge direction is reversed than what you might
# expect. See ChunkDBOrderedListStore for more details.
table.add_edge(pid, chunk_id)
if forward_chunk_ids:
for fid in forward_chunk_ids:
# Note that the edge direction is reversed than what you might
# expect. See ChunkDBOrderedListStore for more details.
table.add_edge(chunk_id, fid)
# We now need to update the backwards extremities for the chunks.
txn.executemany("""
INSERT INTO chunk_backwards_extremities (chunk_id, event_id)
SELECT ?, ? WHERE NOT EXISTS (
SELECT event_id FROM events WHERE event_id = ?
AND NOT outlier
)
""", [(chunk_id, eid, eid) for eid in prev_event_ids])
self._simple_delete_txn(
txn,
table="chunk_backwards_extremities",
keyvalues={"event_id": event_id},
)
return chunk_id, new_topo
@defer.inlineCallbacks
def have_events_in_timeline(self, event_ids):
"""Given a list of event ids, check if we have already processed and
stored them as non outliers.
"""
rows = yield self._simple_select_many_batch(
table="events",
retcols=("event_id",),
column="event_id",
iterable=list(event_ids),
keyvalues={"outlier": False},
desc="have_events_in_timeline",
)
defer.returnValue(set(r["event_id"] for r in rows))
@defer.inlineCallbacks
def have_seen_events(self, event_ids):
"""Given a list of event ids, check if we have already processed them.
Args:
event_ids (iterable[str]):
Returns:
Deferred[set[str]]: The events we have already seen.
"""
results = set()
def have_seen_events_txn(txn, chunk):
sql = (
"SELECT event_id FROM events as e WHERE e.event_id IN (%s)"
% (",".join("?" * len(chunk)), )
)
txn.execute(sql, chunk)
for (event_id, ) in txn:
results.add(event_id)
# break the input up into chunks of 100
input_iterator = iter(event_ids)
for chunk in iter(lambda: list(itertools.islice(input_iterator, 100)),
[]):
yield self.runInteraction(
"have_seen_events",
have_seen_events_txn,
chunk,
)
defer.returnValue(results)
def get_seen_events_with_rejections(self, event_ids):
"""Given a list of event ids, check if we rejected them.
Args:
event_ids (list[str])
Returns:
Deferred[dict[str, str|None):
Has an entry for each event id we already have seen. Maps to
the rejected reason string if we rejected the event, else maps
to None.
"""
if not event_ids:
return defer.succeed({})
def f(txn):
sql = (
"SELECT e.event_id, reason FROM events as e "
"LEFT JOIN rejections as r ON e.event_id = r.event_id "
"WHERE e.event_id = ?"
)
res = {}
for event_id in event_ids:
txn.execute(sql, (event_id,))
row = txn.fetchone()
if row:
_, rejected = row
res[event_id] = rejected
return res
return self.runInteraction("get_rejection_reasons", f)
@defer.inlineCallbacks
def count_daily_messages(self):
"""
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.
"""
def _count_messages(txn):
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
ret = yield self.runInteraction("count_messages", _count_messages)
defer.returnValue(ret)
@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 > ?
"""
txn.execute(sql, (like_clause, self.stream_ordering_day_ago,))
count, = txn.fetchone()
return count
ret = yield self.runInteraction("count_daily_sent_messages", _count_messages)
defer.returnValue(ret)
@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)
defer.returnValue(ret)
@defer.inlineCallbacks
def _background_reindex_fields_sender(self, progress, batch_size):
target_min_stream_id = progress["target_min_stream_id_inclusive"]
max_stream_id = progress["max_stream_id_exclusive"]
rows_inserted = progress.get("rows_inserted", 0)
INSERT_CLUMP_SIZE = 1000
def reindex_txn(txn):
sql = (
"SELECT stream_ordering, event_id, json FROM events"
" INNER JOIN event_json USING (event_id)"
" WHERE ? <= stream_ordering AND stream_ordering < ?"
" ORDER BY stream_ordering DESC"
" LIMIT ?"
)
txn.execute(sql, (target_min_stream_id, max_stream_id, batch_size))
rows = txn.fetchall()
if not rows:
return 0
min_stream_id = rows[-1][0]
update_rows = []
for row in rows:
try:
event_id = row[1]
event_json = json.loads(row[2])
sender = event_json["sender"]
content = event_json["content"]
contains_url = "url" in content
if contains_url:
contains_url &= isinstance(content["url"], basestring)
except (KeyError, AttributeError):
# If the event is missing a necessary field then
# skip over it.
continue
update_rows.append((sender, contains_url, event_id))
sql = (
"UPDATE events SET sender = ?, contains_url = ? WHERE event_id = ?"
)
for index in range(0, len(update_rows), INSERT_CLUMP_SIZE):
clump = update_rows[index:index + INSERT_CLUMP_SIZE]
txn.executemany(sql, clump)
progress = {
"target_min_stream_id_inclusive": target_min_stream_id,
"max_stream_id_exclusive": min_stream_id,
"rows_inserted": rows_inserted + len(rows)
}
self._background_update_progress_txn(
txn, self.EVENT_FIELDS_SENDER_URL_UPDATE_NAME, progress
)
return len(rows)
result = yield self.runInteraction(
self.EVENT_FIELDS_SENDER_URL_UPDATE_NAME, reindex_txn
)
if not result:
yield self._end_background_update(self.EVENT_FIELDS_SENDER_URL_UPDATE_NAME)
defer.returnValue(result)
@defer.inlineCallbacks
def _background_reindex_origin_server_ts(self, progress, batch_size):
target_min_stream_id = progress["target_min_stream_id_inclusive"]
max_stream_id = progress["max_stream_id_exclusive"]
rows_inserted = progress.get("rows_inserted", 0)
INSERT_CLUMP_SIZE = 1000
def reindex_search_txn(txn):
sql = (
"SELECT stream_ordering, event_id FROM events"
" WHERE ? <= stream_ordering AND stream_ordering < ?"
" ORDER BY stream_ordering DESC"
" LIMIT ?"
)
txn.execute(sql, (target_min_stream_id, max_stream_id, batch_size))
rows = txn.fetchall()
if not rows:
return 0
min_stream_id = rows[-1][0]
event_ids = [row[1] for row in rows]
rows_to_update = []
chunks = [
event_ids[i:i + 100]
for i in xrange(0, len(event_ids), 100)
]
for chunk in chunks:
ev_rows = self._simple_select_many_txn(
txn,
table="event_json",
column="event_id",
iterable=chunk,
retcols=["event_id", "json"],
keyvalues={},
)
for row in ev_rows:
event_id = row["event_id"]
event_json = json.loads(row["json"])
try:
origin_server_ts = event_json["origin_server_ts"]
except (KeyError, AttributeError):
# If the event is missing a necessary field then
# skip over it.
continue
rows_to_update.append((origin_server_ts, event_id))
sql = (
"UPDATE events SET origin_server_ts = ? WHERE event_id = ?"
)
for index in range(0, len(rows_to_update), INSERT_CLUMP_SIZE):
clump = rows_to_update[index:index + INSERT_CLUMP_SIZE]
txn.executemany(sql, clump)
progress = {
"target_min_stream_id_inclusive": target_min_stream_id,
"max_stream_id_exclusive": min_stream_id,
"rows_inserted": rows_inserted + len(rows_to_update)
}
self._background_update_progress_txn(
txn, self.EVENT_ORIGIN_SERVER_TS_NAME, progress
)
return len(rows_to_update)
result = yield self.runInteraction(
self.EVENT_ORIGIN_SERVER_TS_NAME, reindex_search_txn
)
if not result:
yield self._end_background_update(self.EVENT_ORIGIN_SERVER_TS_NAME)
defer.returnValue(result)
@defer.inlineCallbacks
def _background_compute_chunks(self, progress, batch_size):
up_to_stream_id = progress.get("up_to_stream_id")
if up_to_stream_id is None:
up_to_stream_id = self.get_current_events_token() + 1
rows_inserted = progress.get("rows_inserted", 0)
def reindex_chunks_txn(txn):
txn.execute("""
SELECT stream_ordering, room_id, event_id,
(
SELECT COALESCE(array_agg(prev_event_id), ARRAY[]::TEXT[])
FROM event_edges AS eg
WHERE NOT is_state AND eg.event_id = e.event_id
) AS prev_events
FROM events AS e
WHERE stream_ordering < ? AND outlier = ? AND chunk_id IS NULL
ORDER BY stream_ordering DESC
LIMIT ?
""", (up_to_stream_id, False, batch_size))
rows = txn.fetchall()
stream_ordering = up_to_stream_id
for stream_ordering, room_id, event_id, prev_events in rows:
chunk_id, topo = self._compute_chunk_id_txn(
txn, room_id, event_id, prev_events,
)
self._simple_update_txn(
txn,
table="events",
keyvalues={"event_id": event_id},
updatevalues={
"chunk_id": chunk_id,
"topological_ordering": topo,
},
)
progress = {
"up_to_stream_id": stream_ordering,
"rows_inserted": rows_inserted + len(rows)
}
self._background_update_progress_txn(
txn, self.EVENT_FIELDS_CHUNK, progress
)
return len(rows)
result = yield self.runInteraction(
self.EVENT_FIELDS_CHUNK, reindex_chunks_txn
)
if not result:
yield self._end_background_update(self.EVENT_FIELDS_CHUNK)
defer.returnValue(result)
def get_current_backfill_token(self):
"""The current minimum token that backfilled events have reached"""
return -self._backfill_id_gen.get_current_token()
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,"
" 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"
" 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,"
" state_key, redacts"
" 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)"
" 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
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,"
" 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"
" 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,"
" state_key, redacts"
" 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)"
" 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
return self.runInteraction(
"get_all_new_backfill_event_rows", get_all_new_backfill_event_rows
)
@cached(num_args=5, max_entries=10)
def get_all_new_events(self, last_backfill_id, last_forward_id,
current_backfill_id, current_forward_id, limit):
"""Get all the new events that have arrived at the server either as
new events or as backfilled events"""
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([], [], [], [], []))
def get_all_new_events_txn(txn):
sql = (
"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"
" LIMIT ?"
)
if have_forward_events:
txn.execute(sql, (last_forward_id, current_forward_id, limit))
new_forward_events = txn.fetchall()
if len(new_forward_events) == limit:
upper_bound = new_forward_events[-1][0]
else:
upper_bound = current_forward_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_forward_id, upper_bound))
forward_ex_outliers = txn.fetchall()
else:
new_forward_events = []
forward_ex_outliers = []
sql = (
"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"
" LIMIT ?"
)
if have_backfill_events:
txn.execute(sql, (-last_backfill_id, -current_backfill_id, limit))
new_backfill_events = txn.fetchall()
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()
else:
new_backfill_events = []
backward_ex_outliers = []
return AllNewEventsResult(
new_forward_events, new_backfill_events,
forward_ex_outliers, backward_ex_outliers,
)
return self.runInteraction("get_all_new_events", get_all_new_events_txn)
def purge_history(
self, room_id, token, delete_local_events,
):
"""Deletes room history before a certain point
Args:
room_id (str):
token (str): A topological token to delete events before
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).
"""
return self.runInteraction(
"purge_history",
self._purge_history_txn, room_id, token,
delete_local_events,
)
def _purge_history_txn(
self, txn, room_id, token_str, delete_local_events,
):
token = RoomStreamToken.parse(token_str)
# Tables that should be pruned:
# event_auth
# event_backward_extremities
# event_content_hashes
# event_destinations
# event_edge_hashes
# event_edges
# event_forward_extremities
# event_json
# event_push_actions
# event_reference_hashes
# event_search
# event_signatures
# event_to_state_groups
# events
# rejections
# room_depth
# state_groups
# state_groups_state
# 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"
")"
)
# 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"
" ON events_to_purge(should_delete)",
)
# We do joins against events_to_purge for e.g. calculating state
# groups to purge, etc., so lets make an index.
txn.execute(
"CREATE INDEX events_to_purge_id"
" ON events_to_purge(event_id)",
)
# 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 = ?",
(room_id,)
)
rows = txn.fetchall()
max_depth = max(row[0] for row in rows)
if max_depth <= token.topological:
# We need to ensure we don't delete all the events from the datanase
# otherwise we wouldn't be able to send any events (due to not
# having any backwards extremeties)
raise SynapseError(
400, "topological_ordering is greater than forward extremeties"
)
logger.info("[purge] looking for events to delete")
should_delete_expr = "state_key IS NULL"
should_delete_params = ()
if not delete_local_events:
should_delete_expr += " AND event_id NOT LIKE ?"
should_delete_params += ("%:" + self.hs.hostname, )
next_token = RoomStreamToken(
token.chunk,
token.topological - 1,
token.stream,
)
while True:
rows, next_token, _ = self._paginate_room_events_txn(
txn, room_id, next_token, direction='b', limit=1000,
)
next_token = RoomStreamToken.parse(next_token)
if len(rows) == 0:
break
txn.executemany(
"""INSERT INTO events_to_purge
SELECT event_id, %s
FROM events
LEFT JOIN state_events USING (event_id)
WHERE event_id = ?
""" % (
should_delete_expr,
),
(
should_delete_params + (row.event_id,)
for row in rows
),
)
txn.execute("""
DELETE FROM events_to_purge
WHERE event_id IN (
SELECT event_id FROM event_forward_extremities
)
""")
txn.execute(
"SELECT event_id, should_delete FROM events_to_purge"
)
event_rows = txn.fetchall()
logger.info(
"[purge] found %i events before cutoff, of which %i can be deleted",
len(event_rows), sum(1 for e in event_rows if e[1]),
)
logger.info("[purge] Finding new backward extremities")
# We calculate the new entries for the backward extremeties by finding
# events to be purged that are pointed to by events we're not going to
# purge.
txn.execute(
"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"
" LEFT JOIN events_to_purge AS ep2 ON ed.event_id = ep2.event_id"
" WHERE ep2.event_id IS NULL AND NOT ed.is_state",
)
new_backwards_extrems = txn.fetchall()
logger.info("[purge] replacing backward extremities: %r", new_backwards_extrems)
txn.execute(
"DELETE FROM event_backward_extremities WHERE room_id = ?",
(room_id,)
)
# Update backward extremeties
txn.executemany(
"INSERT INTO event_backward_extremities (room_id, event_id)"
" VALUES (?, ?)",
[
(room_id, event_id) for event_id, in new_backwards_extrems
]
)
txn.execute(
"""DELETE FROM chunk_backwards_extremities
WHERE event_id IN (
SELECT event_id FROM events WHERE room_id = ?
)
""",
(room_id,)
)
txn.execute(
"""
INSERT INTO chunk_backwards_extremities
SELECT DISTINCT ee.chunk_id, e.event_id
FROM events_to_purge AS e
INNER JOIN event_edges AS ed ON e.event_id = ed.prev_event_id
INNER JOIN events AS ee ON ee.event_id = ed.event_id
LEFT JOIN events_to_purge AS ep2 ON ed.event_id = ep2.event_id
WHERE ep2.event_id IS NULL AND NOT ed.is_state
""",
)
logger.info("[purge] finding redundant state groups")
# Get all state groups that are only referenced by events that are
# to be deleted.
# This works by first getting state groups that we may want to delete,
# joining against event_to_state_groups to get events that use that
# state group, then left joining against events_to_purge again. Any
# state group where the left join produce *no nulls* are referenced
# only by events that are going to be purged.
txn.execute("""
SELECT state_group FROM
(
SELECT DISTINCT state_group FROM events_to_purge
INNER JOIN event_to_state_groups USING (event_id)
) AS sp
INNER JOIN event_to_state_groups USING (state_group)
LEFT JOIN events_to_purge AS ep USING (event_id)
GROUP BY state_group
HAVING SUM(CASE WHEN ep.event_id IS NULL THEN 1 ELSE 0 END) = 0
""")
state_rows = txn.fetchall()
logger.info("[purge] found %i redundant state groups", len(state_rows))
# make a set of the redundant state groups, so that we can look them up
# efficiently
state_groups_to_delete = set([sg for sg, in state_rows])
# Now we get all the state groups that rely on these state groups
logger.info("[purge] finding state groups which depend on redundant"
" state groups")
remaining_state_groups = []
for i in xrange(0, len(state_rows), 100):
chunk = [sg for sg, in state_rows[i:i + 100]]
# look for state groups whose prev_state_group is one we are about
# to delete
rows = self._simple_select_many_txn(
txn,
table="state_group_edges",
column="prev_state_group",
iterable=chunk,
retcols=["state_group"],
keyvalues={},
)
remaining_state_groups.extend(
row["state_group"] for row in rows
# exclude state groups we are about to delete: no point in
# updating them
if row["state_group"] not in state_groups_to_delete
)
# Now we turn the state groups that reference to-be-deleted state
# groups to non delta versions.
for sg in remaining_state_groups:
logger.info("[purge] de-delta-ing remaining state group %s", sg)
curr_state = self._get_state_groups_from_groups_txn(
txn, [sg], types=None
)
curr_state = curr_state[sg]
self._simple_delete_txn(
txn,
table="state_groups_state",
keyvalues={
"state_group": sg,
}
)
self._simple_delete_txn(
txn,
table="state_group_edges",
keyvalues={
"state_group": sg,
}
)
self._simple_insert_many_txn(
txn,
table="state_groups_state",
values=[
{
"state_group": sg,
"room_id": room_id,
"type": key[0],
"state_key": key[1],
"event_id": state_id,
}
for key, state_id in curr_state.iteritems()
],
)
logger.info("[purge] removing redundant state groups")
txn.executemany(
"DELETE FROM state_groups_state WHERE state_group = ?",
state_rows
)
txn.executemany(
"DELETE FROM state_groups WHERE id = ?",
state_rows
)
logger.info("[purge] removing events from event_to_state_groups")
txn.execute(
"DELETE FROM event_to_state_groups "
"WHERE event_id IN (SELECT event_id from events_to_purge)"
)
for event_id, _ in event_rows:
txn.call_after(self._get_state_group_for_event.invalidate, (
event_id,
))
# Delete all remote non-state events
for table in (
"events",
"event_json",
"event_auth",
"event_content_hashes",
"event_destinations",
"event_edge_hashes",
"event_edges",
"event_forward_extremities",
"event_reference_hashes",
"event_search",
"event_signatures",
"rejections",
):
logger.info("[purge] removing events from %s", table)
txn.execute(
"DELETE FROM %s WHERE event_id IN ("
" SELECT event_id FROM events_to_purge WHERE should_delete"
")" % (table,),
)
# event_push_actions lacks an index on event_id, and has one on
# (room_id, event_id) instead.
for table in (
"event_push_actions",
):
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,),
(room_id, )
)
# Mark all state and own events as outliers
logger.info("[purge] marking remaining events as outliers")
txn.execute(
"UPDATE events SET outlier = ?, chunk_id = NULL"
" WHERE event_id IN ("
" SELECT event_id FROM events_to_purge "
" WHERE NOT should_delete"
")",
(True,),
)
# 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.
#
# 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.
txn.execute("""
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 = ?
""", (room_id,))
min_depth, = txn.fetchone()
logger.info("[purge] updating room_depth to %d", min_depth)
txn.execute(
"UPDATE room_depth SET min_depth = ? WHERE room_id = ?",
(min_depth, room_id,)
)
# finally, drop the temp table. this will commit the txn in sqlite,
# so make sure to keep this actually last.
txn.execute(
"DROP TABLE events_to_purge"
)
logger.info("[purge] done")
@defer.inlineCallbacks
def is_event_after(self, event_id1, event_id2):
"""Returns True if event_id1 is after event_id2 in the stream
"""
to_1, so_1 = yield self._get_event_ordering(event_id1)
to_2, so_2 = yield self._get_event_ordering(event_id2)
defer.returnValue((to_1, so_1) > (to_2, so_2))
@cachedInlineCallbacks(max_entries=5000)
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},
allow_none=True
)
if not res:
raise SynapseError(404, "Could not find event %s" % (event_id,))
defer.returnValue((int(res["topological_ordering"]), int(res["stream_ordering"])))
def get_max_current_state_delta_stream_id(self):
return self._stream_id_gen.get_current_token()
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()
return self.runInteraction(
"get_all_updated_current_state_deltas",
get_all_updated_current_state_deltas_txn,
)
AllNewEventsResult = namedtuple("AllNewEventsResult", [
"new_forward_events", "new_backfill_events",
"forward_ex_outliers", "backward_ex_outliers",
])
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