Matrix-Mirrors/synapse-product
1
0
Fork 0
mirror of https://git.anonymousland.org/anonymousland/synapse-product.git synced 2024-12-30 10:46:12 -05:00
Code Issues Packages Projects Releases Wiki Activity
ac3e02d089
synapse-product/synapse/storage/databases/main/events.py
Richard van der Hoff 224f2f949b
Combine LruCache.invalidate and invalidate_many (#9973) 
* Make `invalidate` and `invalidate_many` do the same thing

... so that we can do either over the invalidation replication stream, and also
because they always confused me a bit.

* Kill off `invalidate_many`

* changelog
2021-05-27 10:33:56 +01:00

2182 lines
83 KiB
Python
Raw Blame History

# Copyright 2014-2016 OpenMarket Ltd
# Copyright 2018-2019 New Vector Ltd
# Copyright 2019 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, namedtuple
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generator,
Iterable,
List,
Optional,
Set,
Tuple,
)
import attr
from prometheus_client import Counter
import synapse.metrics
from synapse.api.constants import EventContentFields, EventTypes, RelationTypes
from synapse.api.room_versions import RoomVersions
from synapse.crypto.event_signing import compute_event_reference_hash
from synapse.events import EventBase # noqa: F401
from synapse.events.snapshot import EventContext # noqa: F401
from synapse.logging.utils import log_function
from synapse.storage._base import db_to_json, make_in_list_sql_clause
from synapse.storage.database import DatabasePool, LoggingTransaction
from synapse.storage.databases.main.search import SearchEntry
from synapse.storage.types import Connection
from synapse.storage.util.id_generators import MultiWriterIdGenerator
from synapse.storage.util.sequence import SequenceGenerator
from synapse.types import StateMap, get_domain_from_id
from synapse.util import json_encoder
from synapse.util.iterutils import batch_iter, sorted_topologically
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"],
)
_EventCacheEntry = namedtuple("_EventCacheEntry", ("event", "redacted_event"))
@attr.s(slots=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 = attr.ib(type=List[Tuple[str, str]])
to_insert = attr.ib(type=StateMap[str])
no_longer_in_room = attr.ib(type=bool, default=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: Connection,
):
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.enable_ephemeral_messages
self.is_mine_id = hs.is_mine_id
# 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 = (
self.store._backfill_id_gen
) # type: MultiWriterIdGenerator
self._stream_id_gen = self.store._stream_id_gen # type: MultiWriterIdGenerator
# 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"
async def _persist_events_and_state_updates(
self,
events_and_contexts: List[Tuple[EventBase, EventContext]],
current_state_for_room: Dict[str, StateMap[str]],
state_delta_for_room: Dict[str, DeltaState],
new_forward_extremeties: Dict[str, List[str]],
backfilled: bool = False,
) -> None:
"""Persist a set of events alongside updates to the current state and
forward extremities tables.
Args:
events_and_contexts:
current_state_for_room: Map from room_id to the current state of
the room based on forward extremities
state_delta_for_room: Map from room_id to the delta to apply to
room state
new_forward_extremities: Map from room_id to list of event IDs
that are the new forward extremities of the room.
backfilled
Returns:
Resolves when the events have been persisted
"""
# 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 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)
)
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,
backfilled=backfilled,
state_delta_for_room=state_delta_for_room,
new_forward_extremeties=new_forward_extremeties,
)
persist_event_counter.inc(len(events_and_contexts))
if not backfilled:
# backfilled events have negative stream orderings, so we don't
# want to set the event_persisted_position to that.
synapse.metrics.event_persisted_position.set(
events_and_contexts[-1][0].internal_metadata.stream_ordering
)
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, new_state in current_state_for_room.items():
self.store.get_current_state_ids.prefill((room_id,), new_state)
for room_id, latest_event_ids in new_forward_extremeties.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 = [] # type: List[str]
def _get_events_which_are_prevs_txn(txn, batch):
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, batch):
to_recursively_check = batch
while to_recursively_check:
sql = """
SELECT
event_id, prev_event_id, internal_metadata,
rejections.event_id IS NOT NULL
FROM event_edges
INNER JOIN events USING (event_id)
LEFT JOIN rejections USING (event_id)
LEFT JOIN event_json USING (event_id)
WHERE
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
@log_function
def _persist_events_txn(
self,
txn: LoggingTransaction,
events_and_contexts: List[Tuple[EventBase, EventContext]],
backfilled: bool,
state_delta_for_room: Optional[Dict[str, DeltaState]] = None,
new_forward_extremeties: Optional[Dict[str, List[str]]] = 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
backfilled: True if the events were backfilled
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_extremetie: The new forward extremities for each room.
For each room, a list of the event ids which are the forward
extremities.
"""
state_delta_for_room = state_delta_for_room or {}
new_forward_extremeties = new_forward_extremeties 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
# stream orderings should have been assigned by now
assert min_stream_order
assert 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.
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,
backfilled=backfilled,
)
# We call this last as it assumes we've inserted the events into
# room_memberships, where applicable.
self._update_current_state_txn(txn, state_delta_for_room, min_stream_order)
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",
values=[
{
"event_id": event.event_id,
"room_id": event.room_id,
"auth_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,
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, List[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 = {} # type: 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, state_key, chain_id, sequence_number
FROM events
INNER JOIN state_events 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:
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",
values=[
{"event_id": event_id, "chain_id": c_id, "sequence_number": 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",
iterable=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",
values=[
{
"origin_chain_id": source_id,
"origin_sequence_number": source_seq,
"target_chain_id": target_id,
"target_sequence_number": target_seq,
}
for (
source_id,
source_seq,
target_id,
target_seq,
) in chain_links.get_additions()
],
)
@staticmethod
def _allocate_chain_ids(
txn,
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, List[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() # type: Set[int]
tree = [] # type: 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 = {row[0]: row[1] for row in txn} # type: Dict[Any, int]
# 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() # type: Set[object]
new_chain_tuples = {} # type: 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 = None # type: Optional[Tuple[Any, int]]
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(
zip(unallocated_chain_ids, newly_allocated_chain_ids)
) # type: Dict[Any, int]
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]],
):
"""Persist the mapping from transaction IDs to event IDs (if defined)."""
to_insert = []
for event, _ in events_and_contexts:
token_id = getattr(event.internal_metadata, "token_id", None)
txn_id = getattr(event.internal_metadata, "txn_id", None)
if token_id and txn_id:
to_insert.append(
{
"event_id": event.event_id,
"room_id": event.room_id,
"user_id": event.sender,
"token_id": token_id,
"txn_id": txn_id,
"inserted_ts": self._clock.time_msec(),
}
)
if to_insert:
self.db_pool.simple_insert_many_txn(
txn,
table="event_txn_id",
values=to_insert,
)
def _update_current_state_txn(
self,
txn: LoggingTransaction,
state_delta_by_room: Dict[str, DeltaState],
stream_id: int,
):
for room_id, delta_state in state_delta_by_room.items():
to_delete = delta_state.to_delete
to_insert = delta_state.to_insert
if delta_state.no_longer_in_room:
# Server is no longer in the room so we delete the room from
# current_state_events, being careful we've already updated the
# rooms.room_version column (which gets populated in a
# background task).
self._upsert_room_version_txn(txn, room_id)
# Before deleting we populate the current_state_delta_stream
# so that async background tasks get told what happened.
sql = """
INSERT INTO current_state_delta_stream
(stream_id, instance_name, room_id, type, state_key, event_id, prev_event_id)
SELECT ?, ?, room_id, type, state_key, null, event_id
FROM current_state_events
WHERE room_id = ?
"""
txn.execute(sql, (stream_id, self._instance_name, room_id))
self.db_pool.simple_delete_txn(
txn,
table="current_state_events",
keyvalues={"room_id": room_id},
)
else:
# We're still in the room, so we update the current state as normal.
# First we add entries to the current_state_delta_stream. We
# do this before updating the current_state_events table so
# that we can use it to calculate the `prev_event_id`. (This
# allows us to not have to pull out the existing state
# unnecessarily).
#
# The stream_id for the update is chosen to be the minimum of the stream_ids
# for the batch of the events that we are persisting; that means we do not
# end up in a situation where workers see events before the
# current_state_delta updates.
#
sql = """
INSERT INTO current_state_delta_stream
(stream_id, instance_name, room_id, type, state_key, event_id, prev_event_id)
SELECT ?, ?, ?, ?, ?, ?, (
SELECT event_id FROM current_state_events
WHERE room_id = ? AND type = ? AND state_key = ?
)
"""
txn.execute_batch(
sql,
(
(
stream_id,
self._instance_name,
room_id,
etype,
state_key,
to_insert.get((etype, state_key)),
room_id,
etype,
state_key,
)
for etype, state_key in itertools.chain(to_delete, to_insert)
),
)
# Now we actually update the current_state_events table
txn.execute_batch(
"DELETE FROM current_state_events"
" WHERE room_id = ? AND type = ? AND state_key = ?",
(
(room_id, etype, state_key)
for etype, state_key in itertools.chain(to_delete, to_insert)
),
)
# We include the membership in the current state table, hence we do
# a lookup when we insert. This assumes that all events have already
# been inserted into room_memberships.
txn.execute_batch(
"""INSERT INTO current_state_events
(room_id, type, state_key, event_id, membership)
VALUES (?, ?, ?, ?, (SELECT membership FROM room_memberships WHERE event_id = ?))
""",
[
(room_id, key[0], key[1], ev_id, ev_id)
for key, ev_id in to_insert.items()
],
)
# We now update `local_current_membership`. We do this regardless
# of whether we're still in the room or not to handle the case where
# e.g. we just got banned (where we need to record that fact here).
# Note: Do we really want to delete rows here (that we do not
# subsequently reinsert below)? While technically correct it means
# we have no record of the fact the user *was* a member of the
# room but got, say, state reset out of it.
if to_delete or to_insert:
txn.execute_batch(
"DELETE FROM local_current_membership"
" WHERE room_id = ? AND user_id = ?",
(
(room_id, state_key)
for etype, state_key in itertools.chain(to_delete, to_insert)
if etype == EventTypes.Member and self.is_mine_id(state_key)
),
)
if to_insert:
txn.execute_batch(
"""INSERT INTO local_current_membership
(room_id, user_id, event_id, membership)
VALUES (?, ?, ?, (SELECT membership FROM room_memberships WHERE event_id = ?))
""",
[
(room_id, key[1], ev_id, ev_id)
for key, ev_id in to_insert.items()
if key[0] == EventTypes.Member and self.is_mine_id(key[1])
],
)
txn.call_after(
self.store._curr_state_delta_stream_cache.entity_has_changed,
room_id,
stream_id,
)
# 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 invalidate the caches for all
# those users.
members_changed = {
state_key
for ev_type, state_key in itertools.chain(to_delete, to_insert)
if ev_type == EventTypes.Member
}
for member in members_changed:
txn.call_after(
self.store.get_rooms_for_user_with_stream_ordering.invalidate,
(member,),
)
self.store._invalidate_state_caches_and_stream(
txn, room_id, members_changed
)
def _upsert_room_version_txn(self, txn: LoggingTransaction, room_id: str):
"""Update the room version in the database based off current state
events.
This is used when we're about to delete current state and we want to
ensure that the `rooms.room_version` column is up to date.
"""
sql = """
SELECT json FROM event_json
INNER JOIN current_state_events USING (room_id, event_id)
WHERE room_id = ? AND type = ? AND state_key = ?
"""
txn.execute(sql, (room_id, EventTypes.Create, ""))
row = txn.fetchone()
if row:
event_json = db_to_json(row[0])
content = event_json.get("content", {})
creator = content.get("creator")
room_version_id = content.get("room_version", RoomVersions.V1.identifier)
self.db_pool.simple_upsert_txn(
txn,
table="rooms",
keyvalues={"room_id": room_id},
values={"room_version": room_version_id},
insertion_values={"is_public": False, "creator": creator},
)
def _update_forward_extremities_txn(
self, txn, new_forward_extremities, max_stream_order
):
for room_id in new_forward_extremities.keys():
self.db_pool.simple_delete_txn(
txn, table="event_forward_extremities", keyvalues={"room_id": room_id}
)
txn.call_after(
self.store.get_latest_event_ids_in_room.invalidate, (room_id,)
)
self.db_pool.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.items()
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.db_pool.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.items()
for event_id in new_extrem
],
)
@classmethod
def _filter_events_and_contexts_for_duplicates(
cls, events_and_contexts: List[Tuple[EventBase, EventContext]]
) -> List[Tuple[EventBase, EventContext]]:
"""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()
) # type: OrderedDict[str, Tuple[EventBase, EventContext]]
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 list(new_events_and_contexts.values())
def _update_room_depths_txn(
self,
txn,
events_and_contexts: List[Tuple[EventBase, EventContext]],
backfilled: bool,
):
"""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 = {} # type: Dict[str, int]
for event, context in events_and_contexts:
# Remove the any existing cache entries for the event_ids
txn.call_after(self.store._invalidate_get_event_cache, event.event_id)
if not backfilled:
txn.call_after(
self.store._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.items():
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
# update the stored internal_metadata to update the "outlier" flag.
# TODO: This is unused as of Synapse 1.31. Remove it once we are happy
# to drop backwards-compatibility with 1.30.
metadata_json = json_encoder.encode(event.internal_metadata.get_dict())
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.db_pool.simple_insert_txn(
txn,
table="ex_outlier_stream",
values={
"event_stream_ordering": stream_order,
"event_id": event.event_id,
"state_group": state_group_id,
"instance_name": self._instance_name,
},
)
sql = "UPDATE events SET outlier = ? WHERE event_id = ?"
txn.execute(sql, (False, event.event_id))
# 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]
def _store_event_txn(self, txn, events_and_contexts):
"""Insert new events into the event, event_json, redaction and
state_events 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
def get_internal_metadata(event):
im = event.internal_metadata.get_dict()
# temporary hack for database compatibility with Synapse 1.30 and earlier:
# store the `outlier` flag inside the internal_metadata json as well as in
# the `events` table, so that if anyone rolls back to an older Synapse,
# things keep working. This can be removed once we are happy to drop support
# for that
if event.internal_metadata.is_outlier():
im["outlier"] = True
return im
self.db_pool.simple_insert_many_txn(
txn,
table="event_json",
values=[
{
"event_id": event.event_id,
"room_id": event.room_id,
"internal_metadata": json_encoder.encode(
get_internal_metadata(event)
),
"json": json_encoder.encode(event_dict(event)),
"format_version": event.format_version,
}
for event, _ in events_and_contexts
],
)
self.db_pool.simple_insert_many_txn(
txn,
table="events",
values=[
{
"instance_name": self._instance_name,
"stream_ordering": event.internal_metadata.stream_ordering,
"topological_ordering": event.depth,
"depth": event.depth,
"event_id": event.event_id,
"room_id": event.room_id,
"type": event.type,
"processed": True,
"outlier": event.internal_metadata.is_outlier(),
"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"], str)
),
}
for event, _ in events_and_contexts
],
)
# If we're persisting an unredacted event we go and ensure
# that we mark any redactions that reference this event as
# requiring censoring.
sql = "UPDATE redactions SET have_censored = ? WHERE redacts = ?"
txn.execute_batch(
sql,
(
(
False,
event.event_id,
)
for event, _ in events_and_contexts
if not event.internal_metadata.is_redacted()
),
)
state_events_and_contexts = [
ec for ec in events_and_contexts if ec[0].is_state()
]
state_values = []
for event, _ 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.db_pool.simple_insert_many_txn(
txn, table="state_events", values=state_values
)
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, _ 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
)
# Remove from relations table.
self._handle_redaction(txn, event.redacts)
# 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 event_search table.
self._store_room_name_txn(txn, event)
elif event.type == EventTypes.Topic:
# Insert into the 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 and event.redacts is not None:
# Insert into the redactions table.
self._store_redaction(txn, event)
elif event.type == EventTypes.Retention:
# Update the room_retention table.
self._store_retention_policy_for_room_txn(txn, event)
self._handle_event_relations(txn, event)
# Store the labels for this event.
labels = event.content.get(EventContentFields.LABELS)
if labels:
self.insert_labels_for_event_txn(
txn, event.event_id, labels, event.room_id, event.depth
)
if self._ephemeral_messages_enabled:
# If there's an expiry timestamp on the event, store it.
expiry_ts = event.content.get(EventContentFields.SELF_DESTRUCT_AFTER)
if isinstance(expiry_ts, int) and not event.is_state():
self._insert_event_expiry_txn(txn, event.event_id, expiry_ts)
# 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]
)
# 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 "
)
clause, args = make_in_list_sql_clause(
self.database_engine, "e.event_id", list(ev_map)
)
txn.execute(sql + clause, args)
rows = self.db_pool.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.store._get_event_cache.set((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.store._invalidate_get_event_cache, event.redacts)
self.db_pool.simple_insert_txn(
txn,
table="redactions",
values={
"event_id": event.event_id,
"redacts": event.redacts,
"received_ts": self._clock.time_msec(),
},
)
def insert_labels_for_event_txn(
self, txn, event_id, labels, room_id, topological_ordering
):
"""Store the mapping between an event's ID and its labels, with one row per
(event_id, label) tuple.
Args:
txn (LoggingTransaction): The transaction to execute.
event_id (str): The event's ID.
labels (list[str]): A list of text labels.
room_id (str): The ID of the room the event was sent to.
topological_ordering (int): The position of the event in the room's topology.
"""
return self.db_pool.simple_insert_many_txn(
txn=txn,
table="event_labels",
values=[
{
"event_id": event_id,
"label": label,
"room_id": room_id,
"topological_ordering": topological_ordering,
}
for label in labels
],
)
def _insert_event_expiry_txn(self, txn, event_id, expiry_ts):
"""Save the expiry timestamp associated with a given event ID.
Args:
txn (LoggingTransaction): The database transaction to use.
event_id (str): The event ID the expiry timestamp is associated with.
expiry_ts (int): The timestamp at which to expire (delete) the event.
"""
return self.db_pool.simple_insert_txn(
txn=txn,
table="event_expiry",
values={"event_id": event_id, "expiry_ts": expiry_ts},
)
def _store_event_reference_hashes_txn(self, txn, events):
"""Store a hash for a PDU
Args:
txn (cursor):
events (list): list of Events.
"""
vals = []
for event in events:
ref_alg, ref_hash_bytes = compute_event_reference_hash(event)
vals.append(
{
"event_id": event.event_id,
"algorithm": ref_alg,
"hash": memoryview(ref_hash_bytes),
}
)
self.db_pool.simple_insert_many_txn(
txn, table="event_reference_hashes", values=vals
)
def _store_room_members_txn(self, txn, events, backfilled):
"""Store a room member in the database."""
def str_or_none(val: Any) -> Optional[str]:
return val if isinstance(val, str) else None
self.db_pool.simple_insert_many_txn(
txn,
table="room_memberships",
values=[
{
"event_id": event.event_id,
"user_id": event.state_key,
"sender": event.user_id,
"room_id": event.room_id,
"membership": event.membership,
"display_name": str_or_none(event.content.get("displayname")),
"avatar_url": str_or_none(event.content.get("avatar_url")),
}
for event in events
],
)
for event in events:
txn.call_after(
self.store._membership_stream_cache.entity_has_changed,
event.state_key,
event.internal_metadata.stream_ordering,
)
txn.call_after(
self.store.get_invited_rooms_for_local_user.invalidate,
(event.state_key,),
)
# We update the local_current_membership table only if the event is
# "current", i.e., its something that has just happened.
#
# This will usually get updated by the `current_state_events` handling,
# unless its an outlier, and an outlier is only "current" if it's an "out of
# band membership", like a remote invite or a rejection of a remote invite.
if (
self.is_mine_id(event.state_key)
and not backfilled
and event.internal_metadata.is_outlier()
and event.internal_metadata.is_out_of_band_membership()
):
self.db_pool.simple_upsert_txn(
txn,
table="local_current_membership",
keyvalues={"room_id": event.room_id, "user_id": event.state_key},
values={
"event_id": event.event_id,
"membership": event.membership,
},
)
def _handle_event_relations(self, txn, event):
"""Handles inserting relation data during peristence of events
Args:
txn
event (EventBase)
"""
relation = event.content.get("m.relates_to")
if not relation:
# No relations
return
rel_type = relation.get("rel_type")
if rel_type not in (
RelationTypes.ANNOTATION,
RelationTypes.REFERENCE,
RelationTypes.REPLACE,
):
# Unknown relation type
return
parent_id = relation.get("event_id")
if not parent_id:
# Invalid relation
return
aggregation_key = relation.get("key")
self.db_pool.simple_insert_txn(
txn,
table="event_relations",
values={
"event_id": event.event_id,
"relates_to_id": parent_id,
"relation_type": rel_type,
"aggregation_key": aggregation_key,
},
)
txn.call_after(self.store.get_relations_for_event.invalidate, (parent_id,))
txn.call_after(
self.store.get_aggregation_groups_for_event.invalidate, (parent_id,)
)
if rel_type == RelationTypes.REPLACE:
txn.call_after(self.store.get_applicable_edit.invalidate, (parent_id,))
def _handle_redaction(self, txn, redacted_event_id):
"""Handles receiving a redaction and checking whether we need to remove
any redacted relations from the database.
Args:
txn
redacted_event_id (str): The event that was redacted.
"""
self.db_pool.simple_delete_txn(
txn, table="event_relations", keyvalues={"event_id": redacted_event_id}
)
def _store_room_topic_txn(self, txn, event):
if hasattr(event, "content") and "topic" in event.content:
self.store_event_search_txn(
txn, event, "content.topic", event.content["topic"]
)
def _store_room_name_txn(self, txn, event):
if hasattr(event, "content") and "name" in event.content:
self.store_event_search_txn(
txn, event, "content.name", event.content["name"]
)
def _store_room_message_txn(self, txn, event):
if hasattr(event, "content") and "body" in event.content:
self.store_event_search_txn(
txn, event, "content.body", event.content["body"]
)
def _store_retention_policy_for_room_txn(self, txn, event):
if not event.is_state():
logger.debug("Ignoring non-state m.room.retention event")
return
if hasattr(event, "content") and (
"min_lifetime" in event.content or "max_lifetime" in event.content
):
if (
"min_lifetime" in event.content
and not isinstance(event.content.get("min_lifetime"), int)
) or (
"max_lifetime" in event.content
and not isinstance(event.content.get("max_lifetime"), int)
):
# Ignore the event if one of the value isn't an integer.
return
self.db_pool.simple_insert_txn(
txn=txn,
table="room_retention",
values={
"room_id": event.room_id,
"event_id": event.event_id,
"min_lifetime": event.content.get("min_lifetime"),
"max_lifetime": event.content.get("max_lifetime"),
},
)
self.store._invalidate_cache_and_stream(
txn, self.store.get_retention_policy_for_room, (event.room_id,)
)
def store_event_search_txn(self, txn, event, key, value):
"""Add event to the search table
Args:
txn (cursor):
event (EventBase):
key (str):
value (str):
"""
self.store.store_search_entries_txn(
txn,
(
SearchEntry(
key=key,
value=value,
event_id=event.event_id,
room_id=event.room_id,
stream_ordering=event.internal_metadata.stream_ordering,
origin_server_ts=event.origin_server_ts,
),
),
)
def _set_push_actions_for_event_and_users_txn(
self, txn, events_and_contexts, all_events_and_contexts
):
"""Handles moving push actions from staging table to main
event_push_actions table for all events in `events_and_contexts`.
Also ensures that all events in `all_events_and_contexts` are removed
from the push action staging area.
Args:
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.
"""
sql = """
INSERT INTO event_push_actions (
room_id, event_id, user_id, actions, stream_ordering,
topological_ordering, notif, highlight, unread
)
SELECT ?, event_id, user_id, actions, ?, ?, notif, highlight, unread
FROM event_push_actions_staging
WHERE event_id = ?
"""
if events_and_contexts:
txn.execute_batch(
sql,
(
(
event.room_id,
event.internal_metadata.stream_ordering,
event.depth,
event.event_id,
)
for event, _ in events_and_contexts
),
)
room_to_event_ids = {} # type: Dict[str, List[str]]
for e, _ in events_and_contexts:
room_to_event_ids.setdefault(e.room_id, []).append(e.event_id)
for room_id, event_ids in room_to_event_ids.items():
rows = self.db_pool.simple_select_many_txn(
txn,
table="event_push_actions_staging",
column="event_id",
iterable=event_ids,
keyvalues={},
retcols=("user_id",),
)
user_ids = {row["user_id"] for row in rows}
for user_id in user_ids:
txn.call_after(
self.store.get_unread_event_push_actions_by_room_for_user.invalidate,
(room_id, user_id),
)
# Now we delete the staging area for *all* events that were being
# persisted.
txn.execute_batch(
"DELETE FROM event_push_actions_staging WHERE event_id = ?",
((event.event_id,) for event, _ in all_events_and_contexts),
)
def _remove_push_actions_for_event_id_txn(self, txn, room_id, event_id):
# Sad that we have to blow away the cache for the whole room here
txn.call_after(
self.store.get_unread_event_push_actions_by_room_for_user.invalidate,
(room_id,),
)
txn.execute(
"DELETE FROM event_push_actions WHERE room_id = ? AND event_id = ?",
(room_id, event_id),
)
def _store_rejections_txn(self, txn, event_id, reason):
self.db_pool.simple_insert_txn(
txn,
table="rejections",
values={
"event_id": event_id,
"reason": reason,
"last_check": self._clock.time_msec(),
},
)
def _store_event_state_mappings_txn(
self, txn, events_and_contexts: Iterable[Tuple[EventBase, EventContext]]
):
state_groups = {}
for event, context in events_and_contexts:
if event.internal_metadata.is_outlier():
continue
# if the event was rejected, just give it the same state as its
# predecessor.
if context.rejected:
state_groups[event.event_id] = context.state_group_before_event
continue
state_groups[event.event_id] = context.state_group
self.db_pool.simple_insert_many_txn(
txn,
table="event_to_state_groups",
values=[
{"state_group": state_group_id, "event_id": event_id}
for event_id, state_group_id in state_groups.items()
],
)
for event_id, state_group_id in state_groups.items():
txn.call_after(
self.store._get_state_group_for_event.prefill,
(event_id,),
state_group_id,
)
def _update_min_depth_for_room_txn(self, txn, room_id, depth):
min_depth = self.store._get_min_depth_interaction(txn, room_id)
if min_depth is not None and depth >= min_depth:
return
self.db_pool.simple_upsert_txn(
txn,
table="room_depth",
keyvalues={"room_id": room_id},
values={"min_depth": depth},
)
def _handle_mult_prev_events(self, txn, events):
"""
For the given event, update the event edges table and forward and
backward extremities tables.
"""
self.db_pool.simple_insert_many_txn(
txn,
table="event_edges",
values=[
{
"event_id": ev.event_id,
"prev_event_id": e_id,
"room_id": ev.room_id,
"is_state": False,
}
for ev in events
for e_id in ev.prev_event_ids()
],
)
self._update_backward_extremeties(txn, events)
def _update_backward_extremeties(self, txn, events):
"""Updates the event_backward_extremities tables based on the new/updated
events being persisted.
This is called for new events *and* for events that were outliers, but
are now being persisted as non-outliers.
Forward extremities are handled when we first start persisting the events.
"""
events_by_room = {} # type: Dict[str, List[EventBase]]
for ev in events:
events_by_room.setdefault(ev.room_id, []).append(ev)
query = (
"INSERT INTO event_backward_extremities (event_id, room_id)"
" SELECT ?, ? WHERE NOT EXISTS ("
" SELECT 1 FROM event_backward_extremities"
" WHERE event_id = ? AND room_id = ?"
" )"
" AND NOT EXISTS ("
" SELECT 1 FROM events WHERE event_id = ? AND room_id = ? "
" AND outlier = ?"
" )"
)
txn.execute_batch(
query,
[
(e_id, ev.room_id, e_id, ev.room_id, e_id, ev.room_id, False)
for ev in events
for e_id in ev.prev_event_ids()
if not ev.internal_metadata.is_outlier()
],
)
query = (
"DELETE FROM event_backward_extremities"
" WHERE event_id = ? AND room_id = ?"
)
txn.execute_batch(
query,
[
(ev.event_id, ev.room_id)
for ev in events
if not ev.internal_metadata.is_outlier()
],
)
@attr.s(slots=True)
class _LinkMap:
"""A helper type for tracking links between chains."""
# Stores the set of links as nested maps: source chain ID -> target chain ID
# -> source sequence number -> target sequence number.
maps = attr.ib(type=Dict[int, Dict[int, Dict[int, int]]], factory=dict)
# Stores the links that have been added (with new set to true), as tuples of
# `(source chain ID, source sequence no, target chain ID, target sequence no.)`
additions = attr.ib(type=Set[Tuple[int, int, int, int]], factory=set)
def add_link(
self,
src_tuple: Tuple[int, int],
target_tuple: Tuple[int, int],
new: bool = True,
) -> bool:
"""Add a new link between two chains, ensuring no redundant links are added.
New links should be added in topological order.
Args:
src_tuple: The chain ID/sequence number of the source of the link.
target_tuple: The chain ID/sequence number of the target of the link.
new: Whether this is a "new" link, i.e. should it be returned
by `get_additions`.
Returns:
True if a link was added, false if the given link was dropped as redundant
"""
src_chain, src_seq = src_tuple
target_chain, target_seq = target_tuple
current_links = self.maps.setdefault(src_chain, {}).setdefault(target_chain, {})
assert src_chain != target_chain
if new:
# Check if the new link is redundant
for current_seq_src, current_seq_target in current_links.items():
# If a link "crosses" another link then its redundant. For example
# in the following link 1 (L1) is redundant, as any event reachable
# via L1 is *also* reachable via L2.
#
# Chain A Chain B
# | |
# L1 |------ |
# | | |
# L2 |---- | -->|
# | | |
# | |--->|
# | |
# | |
#
# So we only need to keep links which *do not* cross, i.e. links
# that both start and end above or below an existing link.
#
# Note, since we add links in topological ordering we should never
# see `src_seq` less than `current_seq_src`.
if current_seq_src <= src_seq and target_seq <= current_seq_target:
# This new link is redundant, nothing to do.
return False
self.additions.add((src_chain, src_seq, target_chain, target_seq))
current_links[src_seq] = target_seq
return True
def get_links_from(
self, src_tuple: Tuple[int, int]
) -> Generator[Tuple[int, int], None, None]:
"""Gets the chains reachable from the given chain/sequence number.
Yields:
The chain ID and sequence number the link points to.
"""
src_chain, src_seq = src_tuple
for target_id, sequence_numbers in self.maps.get(src_chain, {}).items():
for link_src_seq, target_seq in sequence_numbers.items():
if link_src_seq <= src_seq:
yield target_id, target_seq
def get_links_between(
self, source_chain: int, target_chain: int
) -> Generator[Tuple[int, int], None, None]:
"""Gets the links between two chains.
Yields:
The source and target sequence numbers.
"""
yield from self.maps.get(source_chain, {}).get(target_chain, {}).items()
def get_additions(self) -> Generator[Tuple[int, int, int, int], None, None]:
"""Gets any newly added links.
Yields:
The source chain ID/sequence number and target chain ID/sequence number
"""
for src_chain, src_seq, target_chain, _ in self.additions:
target_seq = self.maps.get(src_chain, {}).get(target_chain, {}).get(src_seq)
if target_seq is not None:
yield (src_chain, src_seq, target_chain, target_seq)
def exists_path_from(
self,
src_tuple: Tuple[int, int],
target_tuple: Tuple[int, int],
) -> bool:
"""Checks if there is a path between the source chain ID/sequence and
target chain ID/sequence.
"""
src_chain, src_seq = src_tuple
target_chain, target_seq = target_tuple
if src_chain == target_chain:
return target_seq <= src_seq
links = self.get_links_between(src_chain, target_chain)
for link_start_seq, link_end_seq in links:
if link_start_seq <= src_seq and target_seq <= link_end_seq:
return True
return False
Reference in New Issue View Git Blame Copy Permalink