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events.py
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# Copyright 2014-2016 OpenMarket Ltd
# Copyright 2018-2019 New Vector Ltd
# Copyright 2019-2021 The Matrix.org Foundation C.I.C.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import itertools
import logging
from collections import OrderedDict
from http import HTTPStatus
from typing import (
TYPE_CHECKING,
Any,
Collection,
Dict,
Generator,
Iterable,
List,
Optional,
Sequence,
Set,
Tuple,
)
import attr
from prometheus_client import Counter
import synapse.metrics
from synapse.api.constants import EventContentFields, EventTypes, RelationTypes
from synapse.api.errors import Codes, SynapseError
from synapse.api.room_versions import RoomVersions
from synapse.events import EventBase, relation_from_event
from synapse.events.snapshot import EventContext
from synapse.logging.opentracing import trace
from synapse.storage._base import db_to_json, make_in_list_sql_clause
from synapse.storage.database import (
DatabasePool,
LoggingDatabaseConnection,
LoggingTransaction,
)
from synapse.storage.databases.main.events_worker import EventCacheEntry
from synapse.storage.databases.main.search import SearchEntry
from synapse.storage.engines import PostgresEngine
from synapse.storage.util.id_generators import AbstractStreamIdGenerator
from synapse.storage.util.sequence import SequenceGenerator
from synapse.types import JsonDict, StateMap, get_domain_from_id
from synapse.util import json_encoder
from synapse.util.iterutils import batch_iter, sorted_topologically
from synapse.util.stringutils import non_null_str_or_none
if TYPE_CHECKING:
from synapse.server import HomeServer
from synapse.storage.databases.main import DataStore
logger = logging.getLogger(__name__)
persist_event_counter = Counter("synapse_storage_events_persisted_events", "")
event_counter = Counter(
"synapse_storage_events_persisted_events_sep",
"",
["type", "origin_type", "origin_entity"],
)
class PartialStateConflictError(SynapseError):
"""An internal error raised when attempting to persist an event with partial state
after the room containing the event has been un-partial stated.
This error should be handled by recomputing the event context and trying again.
This error has an HTTP status code so that it can be transported over replication.
It should not be exposed to clients.
"""
def __init__(self) -> None:
super().__init__(
HTTPStatus.CONFLICT,
msg="Cannot persist partial state event in un-partial stated room",
errcode=Codes.UNKNOWN,
)
@attr.s(slots=True, auto_attribs=True)
class DeltaState:
"""Deltas to use to update the `current_state_events` table.
Attributes:
to_delete: List of type/state_keys to delete from current state
to_insert: Map of state to upsert into current state
no_longer_in_room: The server is not longer in the room, so the room
should e.g. be removed from `current_state_events` table.
"""
to_delete: List[Tuple[str, str]]
to_insert: StateMap[str]
no_longer_in_room: bool = False
class PersistEventsStore:
"""Contains all the functions for writing events to the database.
Should only be instantiated on one process (when using a worker mode setup).
Note: This is not part of the `DataStore` mixin.
"""
def __init__(
self,
hs: "HomeServer",
db: DatabasePool,
main_data_store: "DataStore",
db_conn: LoggingDatabaseConnection,
):
self.hs = hs
self.db_pool = db
self.store = main_data_store
self.database_engine = db.engine
self._clock = hs.get_clock()
self._instance_name = hs.get_instance_name()
self._ephemeral_messages_enabled = hs.config.server.enable_ephemeral_messages
self.is_mine_id = hs.is_mine_id
# This should only exist on instances that are configured to write
assert (
hs.get_instance_name() in hs.config.worker.writers.events
), "Can only instantiate EventsStore on master"
# Since we have been configured to write, we ought to have id generators,
# rather than id trackers.
assert isinstance(self.store._backfill_id_gen, AbstractStreamIdGenerator)
assert isinstance(self.store._stream_id_gen, AbstractStreamIdGenerator)
# Ideally we'd move these ID gens here, unfortunately some other ID
# generators are chained off them so doing so is a bit of a PITA.
self._backfill_id_gen: AbstractStreamIdGenerator = self.store._backfill_id_gen
self._stream_id_gen: AbstractStreamIdGenerator = self.store._stream_id_gen
@trace
async def _persist_events_and_state_updates(
self,
events_and_contexts: List[Tuple[EventBase, EventContext]],
*,
state_delta_for_room: Dict[str, DeltaState],
new_forward_extremities: Dict[str, Set[str]],
use_negative_stream_ordering: bool = False,
inhibit_local_membership_updates: bool = False,
) -> None:
"""Persist a set of events alongside updates to the current state and
forward extremities tables.
Args:
events_and_contexts:
state_delta_for_room: Map from room_id to the delta to apply to
room state
new_forward_extremities: Map from room_id to set of event IDs
that are the new forward extremities of the room.
use_negative_stream_ordering: Whether to start stream_ordering on
the negative side and decrement. This should be set as True
for backfilled events because backfilled events get a negative
stream ordering so they don't come down incremental `/sync`.
inhibit_local_membership_updates: Stop the local_current_membership
from being updated by these events. This should be set to True
for backfilled events because backfilled events in the past do
not affect the current local state.
Returns:
Resolves when the events have been persisted
Raises:
PartialStateConflictError: if attempting to persist a partial state event in
a room that has been un-partial stated.
"""
# We want to calculate the stream orderings as late as possible, as
# we only notify after all events with a lesser stream ordering have
# been persisted. I.e. if we spend 10s inside the with block then
# that will delay all subsequent events from being notified about.
# Hence why we do it down here rather than wrapping the entire
# function.
#
# Its safe to do this after calculating the state deltas etc as we
# only need to protect the *persistence* of the events. This is to
# ensure that queries of the form "fetch events since X" don't
# return events and stream positions after events that are still in
# flight, as otherwise subsequent requests "fetch event since Y"
# will not return those events.
#
# Note: Multiple instances of this function cannot be in flight at
# the same time for the same room.
if use_negative_stream_ordering:
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)
)
async with stream_ordering_manager as stream_orderings:
for (event, _), stream in zip(events_and_contexts, stream_orderings):
event.internal_metadata.stream_ordering = stream
await self.db_pool.runInteraction(
"persist_events",
self._persist_events_txn,
events_and_contexts=events_and_contexts,
inhibit_local_membership_updates=inhibit_local_membership_updates,
state_delta_for_room=state_delta_for_room,
new_forward_extremities=new_forward_extremities,
)
persist_event_counter.inc(len(events_and_contexts))
if not use_negative_stream_ordering:
# we don't want to set the event_persisted_position to a negative
# stream_ordering.
synapse.metrics.event_persisted_position.set(stream)
for event, context in events_and_contexts:
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.labels(event.type, origin_type, origin_entity).inc()
for room_id, latest_event_ids in new_forward_extremities.items():
self.store.get_latest_event_ids_in_room.prefill(
(room_id,), list(latest_event_ids)
)
async def _get_events_which_are_prevs(self, event_ids: Iterable[str]) -> List[str]:
"""Filter the supplied list of event_ids to get those which are prev_events of
existing (non-outlier/rejected) events.
Args:
event_ids: event ids to filter
Returns:
Filtered event ids
"""
results: List[str] = []
def _get_events_which_are_prevs_txn(
txn: LoggingTransaction, batch: Collection[str]
) -> None:
sql = """
SELECT prev_event_id, internal_metadata
FROM event_edges
INNER JOIN events USING (event_id)
LEFT JOIN rejections USING (event_id)
LEFT JOIN event_json USING (event_id)
WHERE
NOT events.outlier
AND rejections.event_id IS NULL
AND
"""
clause, args = make_in_list_sql_clause(
self.database_engine, "prev_event_id", batch
)
txn.execute(sql + clause, args)
results.extend(r[0] for r in txn if not db_to_json(r[1]).get("soft_failed"))
for chunk in batch_iter(event_ids, 100):
await self.db_pool.runInteraction(
"_get_events_which_are_prevs", _get_events_which_are_prevs_txn, chunk
)
return results
async def _get_prevs_before_rejected(self, event_ids: Iterable[str]) -> Set[str]:
"""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: Events to find prev events for. Note that these must have
already been persisted.
Returns:
The previous events.
"""
# 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: LoggingTransaction, batch: Collection[str]
) -> None:
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
NOT events.outlier
AND
"""
clause, args = make_in_list_sql_clause(
self.database_engine, "event_id", to_recursively_check
)
txn.execute(sql + clause, args)
to_recursively_check = []
for _, prev_event_id, metadata, rejected in txn:
if prev_event_id in existing_prevs:
continue
soft_failed = db_to_json(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):
await self.db_pool.runInteraction(
"_get_prevs_before_rejected", _get_prevs_before_rejected_txn, chunk
)
return existing_prevs
def _persist_events_txn(
self,
txn: LoggingTransaction,
*,
events_and_contexts: List[Tuple[EventBase, EventContext]],
inhibit_local_membership_updates: bool = False,
state_delta_for_room: Optional[Dict[str, DeltaState]] = None,
new_forward_extremities: Optional[Dict[str, Set[str]]] = None,
) -> None:
"""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
events_and_contexts: events to persist
inhibit_local_membership_updates: Stop the local_current_membership
from being updated by these events. This should be set to True
for backfilled events because backfilled events in the past do
not affect the current local state.
delete_existing True to purge existing table rows for the events
from the database. This is useful when retrying due to
IntegrityError.
state_delta_for_room: The current-state delta for each room.
new_forward_extremities: The new forward extremities for each room.
For each room, a list of the event ids which are the forward
extremities.
Raises:
PartialStateConflictError: if attempting to persist a partial state event in
a room that has been un-partial stated.
"""
state_delta_for_room = state_delta_for_room or {}
new_forward_extremities = new_forward_extremities or {}
all_events_and_contexts = events_and_contexts
min_stream_order = events_and_contexts[0][0].internal_metadata.stream_ordering
max_stream_order = events_and_contexts[-1][0].internal_metadata.stream_ordering
# We check that the room still exists for events we're trying to
# persist. This is to protect against races with deleting a room.
#
# Annoyingly SQLite doesn't support row level locking.
if isinstance(self.database_engine, PostgresEngine):
for room_id in {e.room_id for e, _ in events_and_contexts}:
txn.execute(
"SELECT room_version FROM rooms WHERE room_id = ? FOR SHARE",
(room_id,),
)
row = txn.fetchone()
if row is None:
raise Exception(f"Room does not exist {room_id}")
# stream orderings should have been assigned by now
assert min_stream_order
assert max_stream_order
# Once the txn completes, invalidate all of the relevant caches. Note that we do this
# up here because it captures all the events_and_contexts before any are removed.
for event, _ in events_and_contexts:
self.store.invalidate_get_event_cache_after_txn(txn, event.event_id)
if event.redacts:
self.store.invalidate_get_event_cache_after_txn(txn, event.redacts)
relates_to = None
relation = relation_from_event(event)
if relation:
relates_to = relation.parent_id
assert event.internal_metadata.stream_ordering is not None
txn.call_after(
self.store._invalidate_caches_for_event,
event.internal_metadata.stream_ordering,
event.event_id,
event.room_id,
event.type,
getattr(event, "state_key", None),
event.redacts,
relates_to,
backfilled=False,
)
self._update_forward_extremities_txn(
txn,
new_forward_extremities=new_forward_extremities,
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)
# _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.
self._store_event_txn(txn, events_and_contexts=events_and_contexts)
self._persist_transaction_ids_txn(txn, events_and_contexts)
# Insert into event_to_state_groups.
self._store_event_state_mappings_txn(txn, events_and_contexts)
self._persist_event_auth_chain_txn(txn, [e for e, _ in 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,
inhibit_local_membership_updates=inhibit_local_membership_updates,
)
# We call this last as it assumes we've inserted the events into
# room_memberships, where applicable.
# NB: This function invalidates all state related caches
self._update_current_state_txn(txn, state_delta_for_room, min_stream_order)
def _persist_event_auth_chain_txn(
self,
txn: LoggingTransaction,
events: List[EventBase],
) -> None:
# We only care about state events, so this if there are no state events.
if not any(e.is_state() for e in events):
return
# 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.db_pool.simple_insert_many_txn(
txn,
table="event_auth",
keys=("event_id", "room_id", "auth_id"),
values=[
(event.event_id, event.room_id, auth_id)
for event in events
for auth_id in event.auth_event_ids()
if event.is_state()
],
)
# We now calculate chain ID/sequence numbers for any state events we're
# persisting. We ignore out of band memberships as we're not in the room
# and won't have their auth chain (we'll fix it up later if we join the
# room).
#
# See: docs/auth_chain_difference_algorithm.md
# We ignore legacy rooms that we aren't filling the chain cover index
# for.
rows = self.db_pool.simple_select_many_txn(
txn,
table="rooms",
column="room_id",
iterable={event.room_id for event in events if event.is_state()},
keyvalues={},
retcols=("room_id", "has_auth_chain_index"),
)
rooms_using_chain_index = {
row["room_id"] for row in rows if row["has_auth_chain_index"]
}
state_events = {
event.event_id: event
for event in events
if event.is_state() and event.room_id in rooms_using_chain_index
}
if not state_events:
return
# We need to know the type/state_key and auth events of the events we're
# calculating chain IDs for. We don't rely on having the full Event
# instances as we'll potentially be pulling more events from the DB and
# we don't need the overhead of fetching/parsing the full event JSON.
event_to_types = {
e.event_id: (e.type, e.state_key) for e in state_events.values()
}
event_to_auth_chain = {
e.event_id: e.auth_event_ids() for e in state_events.values()
}
event_to_room_id = {e.event_id: e.room_id for e in state_events.values()}
self._add_chain_cover_index(
txn,
self.db_pool,
self.store.event_chain_id_gen,
event_to_room_id,
event_to_types,
event_to_auth_chain,
)
@classmethod
def _add_chain_cover_index(
cls,
txn: LoggingTransaction,
db_pool: DatabasePool,
event_chain_id_gen: SequenceGenerator,
event_to_room_id: Dict[str, str],
event_to_types: Dict[str, Tuple[str, str]],
event_to_auth_chain: Dict[str, Sequence[str]],
) -> None:
"""Calculate the chain cover index for the given events.
Args:
event_to_room_id: Event ID to the room ID of the event
event_to_types: Event ID to type and state_key of the event
event_to_auth_chain: Event ID to list of auth event IDs of the
event (events with no auth events can be excluded).
"""
# Map from event ID to chain ID/sequence number.
chain_map: Dict[str, Tuple[int, int]] = {}
# Set of event IDs to calculate chain ID/seq numbers for.
events_to_calc_chain_id_for = set(event_to_room_id)
# We check if there are any events that need to be handled in the rooms
# we're looking at. These should just be out of band memberships, where
# we didn't have the auth chain when we first persisted.
rows = db_pool.simple_select_many_txn(
txn,
table="event_auth_chain_to_calculate",
keyvalues={},
column="room_id",
iterable=set(event_to_room_id.values()),
retcols=("event_id", "type", "state_key"),
)
for row in rows:
event_id = row["event_id"]
event_type = row["type"]
state_key = row["state_key"]
# (We could pull out the auth events for all rows at once using
# simple_select_many, but this case happens rarely and almost always
# with a single row.)
auth_events = db_pool.simple_select_onecol_txn(
txn,
"event_auth",
keyvalues={"event_id": event_id},
retcol="auth_id",
)
events_to_calc_chain_id_for.add(event_id)
event_to_types[event_id] = (event_type, state_key)
event_to_auth_chain[event_id] = auth_events
# First we get the chain ID and sequence numbers for the events'
# auth events (that aren't also currently being persisted).
#
# Note that there there is an edge case here where we might not have
# calculated chains and sequence numbers for events that were "out
# of band". We handle this case by fetching the necessary info and
# adding it to the set of events to calculate chain IDs for.
missing_auth_chains = {
a_id
for auth_events in event_to_auth_chain.values()
for a_id in auth_events
if a_id not in events_to_calc_chain_id_for
}
# We loop here in case we find an out of band membership and need to
# fetch their auth event info.
while missing_auth_chains:
sql = """
SELECT event_id, events.type, se.state_key, chain_id, sequence_number
FROM events
INNER JOIN state_events AS se USING (event_id)
LEFT JOIN event_auth_chains USING (event_id)
WHERE
"""
clause, args = make_in_list_sql_clause(
txn.database_engine,
"event_id",
missing_auth_chains,
)
txn.execute(sql + clause, args)
missing_auth_chains.clear()
for (
auth_id,
event_type,
state_key,
chain_id,
sequence_number,
) in txn.fetchall():
event_to_types[auth_id] = (event_type, state_key)
if chain_id is None:
# No chain ID, so the event was persisted out of band.
# We add to list of events to calculate auth chains for.
events_to_calc_chain_id_for.add(auth_id)
event_to_auth_chain[auth_id] = db_pool.simple_select_onecol_txn(
txn,
"event_auth",
keyvalues={"event_id": auth_id},
retcol="auth_id",
)
missing_auth_chains.update(
e
for e in event_to_auth_chain[auth_id]
if e not in event_to_types
)
else:
chain_map[auth_id] = (chain_id, sequence_number)
# Now we check if we have any events where we don't have auth chain,
# this should only be out of band memberships.
for event_id in sorted_topologically(event_to_auth_chain, event_to_auth_chain):
for auth_id in event_to_auth_chain[event_id]:
if (
auth_id not in chain_map
and auth_id not in events_to_calc_chain_id_for
):
events_to_calc_chain_id_for.discard(event_id)
# If this is an event we're trying to persist we add it to
# the list of events to calculate chain IDs for next time
# around. (Otherwise we will have already added it to the
# table).
room_id = event_to_room_id.get(event_id)
if room_id:
e_type, state_key = event_to_types[event_id]
db_pool.simple_insert_txn(
txn,
table="event_auth_chain_to_calculate",
values={
"event_id": event_id,
"room_id": room_id,
"type": e_type,
"state_key": state_key,
},
)
# We stop checking the event's auth events since we've
# discarded it.
break
if not events_to_calc_chain_id_for:
return
# Allocate chain ID/sequence numbers to each new event.
new_chain_tuples = cls._allocate_chain_ids(
txn,
db_pool,
event_chain_id_gen,
event_to_room_id,
event_to_types,
event_to_auth_chain,
events_to_calc_chain_id_for,
chain_map,
)
chain_map.update(new_chain_tuples)
db_pool.simple_insert_many_txn(
txn,
table="event_auth_chains",
keys=("event_id", "chain_id", "sequence_number"),
values=[
(event_id, c_id, seq)
for event_id, (c_id, seq) in new_chain_tuples.items()
],
)
db_pool.simple_delete_many_txn(
txn,
table="event_auth_chain_to_calculate",
keyvalues={},
column="event_id",
values=new_chain_tuples,
)
# Now we need to calculate any new links between chains caused by
# the new events.
#
# Links are pairs of chain ID/sequence numbers such that for any
# event A (CA, SA) and any event B (CB, SB), B is in A's auth chain
# if and only if there is at least one link (CA, S1) -> (CB, S2)
# where SA >= S1 and S2 >= SB.
#
# We try and avoid adding redundant links to the table, e.g. if we
# have two links between two chains which both start/end at the
# sequence number event (or cross) then one can be safely dropped.
#
# To calculate new links we look at every new event and:
# 1. Fetch the chain ID/sequence numbers of its auth events,
# discarding any that are reachable by other auth events, or
# that have the same chain ID as the event.
# 2. For each retained auth event we:
# a. Add a link from the event's to the auth event's chain
# ID/sequence number; and
# b. Add a link from the event to every chain reachable by the
# auth event.
# Step 1, fetch all existing links from all the chains we've seen
# referenced.
chain_links = _LinkMap()
rows = db_pool.simple_select_many_txn(
txn,
table="event_auth_chain_links",
column="origin_chain_id",
iterable={chain_id for chain_id, _ in chain_map.values()},
keyvalues={},
retcols=(
"origin_chain_id",
"origin_sequence_number",
"target_chain_id",
"target_sequence_number",
),
)
for row in rows:
chain_links.add_link(
(row["origin_chain_id"], row["origin_sequence_number"]),
(row["target_chain_id"], row["target_sequence_number"]),
new=False,
)
# We do this in toplogical order to avoid adding redundant links.
for event_id in sorted_topologically(
events_to_calc_chain_id_for, event_to_auth_chain
):
chain_id, sequence_number = chain_map[event_id]
# Filter out auth events that are reachable by other auth
# events. We do this by looking at every permutation of pairs of
# auth events (A, B) to check if B is reachable from A.
reduction = {
a_id
for a_id in event_to_auth_chain.get(event_id, [])
if chain_map[a_id][0] != chain_id
}
for start_auth_id, end_auth_id in itertools.permutations(
event_to_auth_chain.get(event_id, []),
r=2,
):
if chain_links.exists_path_from(
chain_map[start_auth_id], chain_map[end_auth_id]
):
reduction.discard(end_auth_id)
# Step 2, figure out what the new links are from the reduced
# list of auth events.
for auth_id in reduction:
auth_chain_id, auth_sequence_number = chain_map[auth_id]
# Step 2a, add link between the event and auth event
chain_links.add_link(
(chain_id, sequence_number), (auth_chain_id, auth_sequence_number)
)
# Step 2b, add a link to chains reachable from the auth
# event.
for target_id, target_seq in chain_links.get_links_from(
(auth_chain_id, auth_sequence_number)
):
if target_id == chain_id:
continue
chain_links.add_link(
(chain_id, sequence_number), (target_id, target_seq)
)
db_pool.simple_insert_many_txn(
txn,
table="event_auth_chain_links",
keys=(
"origin_chain_id",
"origin_sequence_number",
"target_chain_id",
"target_sequence_number",
),
values=[
(source_id, source_seq, target_id, target_seq)
for (
source_id,
source_seq,
target_id,
target_seq,
) in chain_links.get_additions()
],
)
@staticmethod
def _allocate_chain_ids(
txn: LoggingTransaction,
db_pool: DatabasePool,
event_chain_id_gen: SequenceGenerator,
event_to_room_id: Dict[str, str],
event_to_types: Dict[str, Tuple[str, str]],
event_to_auth_chain: Dict[str, Sequence[str]],
events_to_calc_chain_id_for: Set[str],
chain_map: Dict[str, Tuple[int, int]],
) -> Dict[str, Tuple[int, int]]:
"""Allocates, but does not persist, chain ID/sequence numbers for the
events in `events_to_calc_chain_id_for`. (c.f. _add_chain_cover_index
for info on args)
"""
# We now calculate the chain IDs/sequence numbers for the events. We do
# this by looking at the chain ID and sequence number of any auth event
# with the same type/state_key and incrementing the sequence number by
# one. If there was no match or the chain ID/sequence number is already
# taken we generate a new chain.
#
# We try to reduce the number of times that we hit the database by
# batching up calls, to make this more efficient when persisting large
# numbers of state events (e.g. during joins).
#
# We do this by:
# 1. Calculating for each event which auth event will be used to
# inherit the chain ID, i.e. converting the auth chain graph to a
# tree that we can allocate chains on. We also keep track of which
# existing chain IDs have been referenced.
# 2. Fetching the max allocated sequence number for each referenced
# existing chain ID, generating a map from chain ID to the max
# allocated sequence number.
# 3. Iterating over the tree and allocating a chain ID/seq no. to the
# new event, by incrementing the sequence number from the
# referenced event's chain ID/seq no. and checking that the
# incremented sequence number hasn't already been allocated (by
# looking in the map generated in the previous step). We generate a
# new chain if the sequence number has already been allocated.
#
existing_chains: Set[int] = set()
tree: List[Tuple[str, Optional[str]]] = []
# We need to do this in a topologically sorted order as we want to
# generate chain IDs/sequence numbers of an event's auth events before
# the event itself.
for event_id in sorted_topologically(
events_to_calc_chain_id_for, event_to_auth_chain
):
for auth_id in event_to_auth_chain.get(event_id, []):
if event_to_types.get(event_id) == event_to_types.get(auth_id):
existing_chain_id = chain_map.get(auth_id)
if existing_chain_id:
existing_chains.add(existing_chain_id[0])
tree.append((event_id, auth_id))
break
else:
tree.append((event_id, None))
# Fetch the current max sequence number for each existing referenced chain.
sql = """
SELECT chain_id, MAX(sequence_number) FROM event_auth_chains
WHERE %s
GROUP BY chain_id
"""
clause, args = make_in_list_sql_clause(
db_pool.engine, "chain_id", existing_chains
)
txn.execute(sql % (clause,), args)
chain_to_max_seq_no: Dict[Any, int] = {row[0]: row[1] for row in txn}
# Allocate the new events chain ID/sequence numbers.
#
# To reduce the number of calls to the database we don't allocate a
# chain ID number in the loop, instead we use a temporary `object()` for
# each new chain ID. Once we've done the loop we generate the necessary
# number of new chain IDs in one call, replacing all temporary
# objects with real allocated chain IDs.
unallocated_chain_ids: Set[object] = set()
new_chain_tuples: Dict[str, Tuple[Any, int]] = {}
for event_id, auth_event_id in tree:
# If we reference an auth_event_id we fetch the allocated chain ID,
# either from the existing `chain_map` or the newly generated
# `new_chain_tuples` map.
existing_chain_id = None
if auth_event_id:
existing_chain_id = new_chain_tuples.get(auth_event_id)
if not existing_chain_id:
existing_chain_id = chain_map[auth_event_id]
new_chain_tuple: Optional[Tuple[Any, int]] = None
if existing_chain_id:
# We found a chain ID/sequence number candidate, check its
# not already taken.
proposed_new_id = existing_chain_id[0]
proposed_new_seq = existing_chain_id[1] + 1
if chain_to_max_seq_no[proposed_new_id] < proposed_new_seq:
new_chain_tuple = (
proposed_new_id,
proposed_new_seq,
)
# If we need to start a new chain we allocate a temporary chain ID.
if not new_chain_tuple:
new_chain_tuple = (object(), 1)
unallocated_chain_ids.add(new_chain_tuple[0])
new_chain_tuples[event_id] = new_chain_tuple
chain_to_max_seq_no[new_chain_tuple[0]] = new_chain_tuple[1]
# Generate new chain IDs for all unallocated chain IDs.
newly_allocated_chain_ids = event_chain_id_gen.get_next_mult_txn(
txn, len(unallocated_chain_ids)
)
# Map from potentially temporary chain ID to real chain ID
chain_id_to_allocated_map: Dict[Any, int] = dict(
zip(unallocated_chain_ids, newly_allocated_chain_ids)
)
chain_id_to_allocated_map.update((c, c) for c in existing_chains)
return {
event_id: (chain_id_to_allocated_map[chain_id], seq)
for event_id, (chain_id, seq) in new_chain_tuples.items()
}
def _persist_transaction_ids_txn(
self,
txn: LoggingTransaction,
events_and_contexts: List[Tuple[EventBase, EventContext]],
) -> None: