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synapse-old/synapse/storage/databases/main/events_worker.py

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# Copyright 2018 New Vector Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import threading
import weakref
from enum import Enum, auto
from itertools import chain
from typing import (
TYPE_CHECKING,
Any,
Collection,
Dict,
Iterable,
List,
MutableMapping,
Optional,
Set,
Tuple,
cast,
overload,
)
import attr
from prometheus_client import Gauge
from typing_extensions import Literal
from twisted.internet import defer
from synapse.api.constants import Direction, EventTypes
from synapse.api.errors import NotFoundError, SynapseError
from synapse.api.room_versions import (
KNOWN_ROOM_VERSIONS,
EventFormatVersions,
RoomVersion,
RoomVersions,
)
from synapse.events import EventBase, make_event_from_dict
from synapse.events.snapshot import EventContext
from synapse.events.utils import prune_event
from synapse.logging.context import (
PreserveLoggingContext,
current_context,
make_deferred_yieldable,
)
from synapse.logging.opentracing import start_active_span, tag_args, trace
from synapse.metrics.background_process_metrics import (
run_as_background_process,
wrap_as_background_process,
)
from synapse.replication.tcp.streams import BackfillStream, UnPartialStatedEventStream
from synapse.replication.tcp.streams.events import EventsStream
from synapse.replication.tcp.streams.partial_state import UnPartialStatedEventStreamRow
from synapse.storage._base import SQLBaseStore, db_to_json, make_in_list_sql_clause
from synapse.storage.database import (
DatabasePool,
LoggingDatabaseConnection,
LoggingTransaction,
)
from synapse.storage.engines import PostgresEngine
from synapse.storage.types import Cursor
from synapse.storage.util.id_generators import (
AbstractStreamIdGenerator,
MultiWriterIdGenerator,
StreamIdGenerator,
)
from synapse.storage.util.sequence import build_sequence_generator
from synapse.types import JsonDict, get_domain_from_id
from synapse.types.state import StateFilter
from synapse.util import unwrapFirstError
from synapse.util.async_helpers import ObservableDeferred, delay_cancellation
from synapse.util.caches.descriptors import cached, cachedList
from synapse.util.caches.lrucache import AsyncLruCache
from synapse.util.caches.stream_change_cache import StreamChangeCache
from synapse.util.cancellation import cancellable
from synapse.util.iterutils import batch_iter
from synapse.util.metrics import Measure
if TYPE_CHECKING:
from synapse.server import HomeServer
logger = logging.getLogger(__name__)
# These values are used in the `enqueue_event` and `_fetch_loop` methods to
# control how we batch/bulk fetch events from the database.
# The values are plucked out of thing air to make initial sync run faster
# on jki.re
# TODO: Make these configurable.
EVENT_QUEUE_THREADS = 3 # Max number of threads that will fetch events
EVENT_QUEUE_ITERATIONS = 3 # No. times we block waiting for requests for events
EVENT_QUEUE_TIMEOUT_S = 0.1 # Timeout when waiting for requests for events
event_fetch_ongoing_gauge = Gauge(
"synapse_event_fetch_ongoing",
"The number of event fetchers that are running",
)
class InvalidEventError(Exception):
"""The event retrieved from the database is invalid and cannot be used."""
@attr.s(slots=True, auto_attribs=True)
class EventCacheEntry:
event: EventBase
redacted_event: Optional[EventBase]
@attr.s(slots=True, frozen=True, auto_attribs=True)
class _EventRow:
"""
An event, as pulled from the database.
Properties:
event_id: The event ID of the event.
stream_ordering: stream ordering for this event
json: json-encoded event structure
internal_metadata: json-encoded internal metadata dict
format_version: The format of the event. Hopefully one of EventFormatVersions.
'None' means the event predates EventFormatVersions (so the event is format V1).
room_version_id: The version of the room which contains the event. Hopefully
one of RoomVersions.
Due to historical reasons, there may be a few events in the database which
do not have an associated room; in this case None will be returned here.
rejected_reason: if the event was rejected, the reason why.
redactions: a list of event-ids which (claim to) redact this event.
outlier: True if this event is an outlier.
"""
event_id: str
stream_ordering: int
json: str
internal_metadata: str
format_version: Optional[int]
room_version_id: Optional[str]
rejected_reason: Optional[str]
redactions: List[str]
outlier: bool
class EventRedactBehaviour(Enum):
"""
What to do when retrieving a redacted event from the database.
"""
as_is = auto()
redact = auto()
block = auto()
class EventsWorkerStore(SQLBaseStore):
# Whether to use dedicated DB threads for event fetching. This is only used
# if there are multiple DB threads available. When used will lock the DB
# thread for periods of time (so unit tests want to disable this when they
# run DB transactions on the main thread). See EVENT_QUEUE_* for more
# options controlling this.
USE_DEDICATED_DB_THREADS_FOR_EVENT_FETCHING = True
def __init__(
self,
database: DatabasePool,
db_conn: LoggingDatabaseConnection,
hs: "HomeServer",
):
super().__init__(database, db_conn, hs)
self._stream_id_gen: AbstractStreamIdGenerator
self._backfill_id_gen: AbstractStreamIdGenerator
if isinstance(database.engine, PostgresEngine):
# If we're using Postgres than we can use `MultiWriterIdGenerator`
# regardless of whether this process writes to the streams or not.
self._stream_id_gen = MultiWriterIdGenerator(
db_conn=db_conn,
db=database,
notifier=hs.get_replication_notifier(),
stream_name="events",
instance_name=hs.get_instance_name(),
tables=[("events", "instance_name", "stream_ordering")],
sequence_name="events_stream_seq",
writers=hs.config.worker.writers.events,
)
self._backfill_id_gen = MultiWriterIdGenerator(
db_conn=db_conn,
db=database,
notifier=hs.get_replication_notifier(),
stream_name="backfill",
instance_name=hs.get_instance_name(),
tables=[("events", "instance_name", "stream_ordering")],
sequence_name="events_backfill_stream_seq",
positive=False,
writers=hs.config.worker.writers.events,
)
else:
# Multiple writers are not supported for SQLite.
#
# We shouldn't be running in worker mode with SQLite, but its useful
# to support it for unit tests.
self._stream_id_gen = StreamIdGenerator(
db_conn,
hs.get_replication_notifier(),
"events",
"stream_ordering",
is_writer=hs.get_instance_name() in hs.config.worker.writers.events,
)
self._backfill_id_gen = StreamIdGenerator(
db_conn,
hs.get_replication_notifier(),
"events",
"stream_ordering",
step=-1,
extra_tables=[("ex_outlier_stream", "event_stream_ordering")],
is_writer=hs.get_instance_name() in hs.config.worker.writers.events,
)
events_max = self._stream_id_gen.get_current_token()
curr_state_delta_prefill, min_curr_state_delta_id = self.db_pool.get_cache_dict(
db_conn,
"current_state_delta_stream",
entity_column="room_id",
stream_column="stream_id",
max_value=events_max, # As we share the stream id with events token
limit=1000,
)
self._curr_state_delta_stream_cache: StreamChangeCache = StreamChangeCache(
"_curr_state_delta_stream_cache",
min_curr_state_delta_id,
prefilled_cache=curr_state_delta_prefill,
)
if hs.config.worker.run_background_tasks:
# We periodically clean out old transaction ID mappings
self._clock.looping_call(
self._cleanup_old_transaction_ids,
5 * 60 * 1000,
)
self._get_event_cache: AsyncLruCache[
Tuple[str], EventCacheEntry
] = AsyncLruCache(
cache_name="*getEvent*",
max_size=hs.config.caches.event_cache_size,
)
# Map from event ID to a deferred that will result in a map from event
# ID to cache entry. Note that the returned dict may not have the
# requested event in it if the event isn't in the DB.
self._current_event_fetches: Dict[
str, ObservableDeferred[Dict[str, EventCacheEntry]]
] = {}
# We keep track of the events we have currently loaded in memory so that
# we can reuse them even if they've been evicted from the cache. We only
# track events that don't need redacting in here (as then we don't need
# to track redaction status).
self._event_ref: MutableMapping[str, EventBase] = weakref.WeakValueDictionary()
self._event_fetch_lock = threading.Condition()
self._event_fetch_list: List[
Tuple[Iterable[str], "defer.Deferred[Dict[str, _EventRow]]"]
] = []
self._event_fetch_ongoing = 0
event_fetch_ongoing_gauge.set(self._event_fetch_ongoing)
# We define this sequence here so that it can be referenced from both
# the DataStore and PersistEventStore.
def get_chain_id_txn(txn: Cursor) -> int:
txn.execute("SELECT COALESCE(max(chain_id), 0) FROM event_auth_chains")
return cast(Tuple[int], txn.fetchone())[0]
self.event_chain_id_gen = build_sequence_generator(
db_conn,
database.engine,
get_chain_id_txn,
"event_auth_chain_id",
table="event_auth_chains",
id_column="chain_id",
)
self._un_partial_stated_events_stream_id_gen: AbstractStreamIdGenerator
if isinstance(database.engine, PostgresEngine):
self._un_partial_stated_events_stream_id_gen = MultiWriterIdGenerator(
db_conn=db_conn,
db=database,
notifier=hs.get_replication_notifier(),
stream_name="un_partial_stated_event_stream",
instance_name=hs.get_instance_name(),
tables=[
("un_partial_stated_event_stream", "instance_name", "stream_id")
],
sequence_name="un_partial_stated_event_stream_sequence",
# TODO(faster_joins, multiple writers) Support multiple writers.
writers=["master"],
)
else:
self._un_partial_stated_events_stream_id_gen = StreamIdGenerator(
db_conn,
hs.get_replication_notifier(),
"un_partial_stated_event_stream",
"stream_id",
)
def get_un_partial_stated_events_token(self, instance_name: str) -> int:
return (
self._un_partial_stated_events_stream_id_gen.get_current_token_for_writer(
instance_name
)
)
async def get_un_partial_stated_events_from_stream(
self, instance_name: str, last_id: int, current_id: int, limit: int
) -> Tuple[List[Tuple[int, Tuple[str, bool]]], int, bool]:
"""Get updates for the un-partial-stated events replication stream.
Args:
instance_name: The writer we want to fetch updates from. Unused
here since there is only ever one writer.
last_id: The token to fetch updates from. Exclusive.
current_id: The token to fetch updates up to. Inclusive.
limit: The requested limit for the number of rows to return. The
function may return more or fewer rows.
Returns:
A tuple consisting of: the updates, a token to use to fetch
subsequent updates, and whether we returned fewer rows than exists
between the requested tokens due to the limit.
The token returned can be used in a subsequent call to this
function to get further updatees.
The updates are a list of 2-tuples of stream ID and the row data
"""
if last_id == current_id:
return [], current_id, False
def get_un_partial_stated_events_from_stream_txn(
txn: LoggingTransaction,
) -> Tuple[List[Tuple[int, Tuple[str, bool]]], int, bool]:
sql = """
SELECT stream_id, event_id, rejection_status_changed
FROM un_partial_stated_event_stream
WHERE ? < stream_id AND stream_id <= ? AND instance_name = ?
ORDER BY stream_id ASC
LIMIT ?
"""
txn.execute(sql, (last_id, current_id, instance_name, limit))
updates = [
(
row[0],
(
row[1],
bool(row[2]),
),
)
for row in txn
]
limited = False
upto_token = current_id
if len(updates) >= limit:
upto_token = updates[-1][0]
limited = True
return updates, upto_token, limited
return await self.db_pool.runInteraction(
"get_un_partial_stated_events_from_stream",
get_un_partial_stated_events_from_stream_txn,
)
def process_replication_rows(
self,
stream_name: str,
instance_name: str,
token: int,
rows: Iterable[Any],
) -> None:
if stream_name == UnPartialStatedEventStream.NAME:
for row in rows:
assert isinstance(row, UnPartialStatedEventStreamRow)
self.is_partial_state_event.invalidate((row.event_id,))
if row.rejection_status_changed:
# If the partial-stated event became rejected or unrejected
# when it wasn't before, we need to invalidate this cache.
self._invalidate_local_get_event_cache(row.event_id)
super().process_replication_rows(stream_name, instance_name, token, rows)
def process_replication_position(
self, stream_name: str, instance_name: str, token: int
) -> None:
if stream_name == EventsStream.NAME:
self._stream_id_gen.advance(instance_name, token)
elif stream_name == BackfillStream.NAME:
self._backfill_id_gen.advance(instance_name, -token)
elif stream_name == UnPartialStatedEventStream.NAME:
self._un_partial_stated_events_stream_id_gen.advance(instance_name, token)
super().process_replication_position(stream_name, instance_name, token)
async def have_censored_event(self, event_id: str) -> bool:
"""Check if an event has been censored, i.e. if the content of the event has been erased
from the database due to a redaction.
Args:
event_id: The event ID that was redacted.
Returns:
True if the event has been censored, False otherwise.
"""
censored_redactions_list = await self.db_pool.simple_select_onecol(
table="redactions",
keyvalues={"redacts": event_id},
retcol="have_censored",
desc="get_have_censored",
)
return any(censored_redactions_list)
# Inform mypy that if allow_none is False (the default) then get_event
# always returns an EventBase.
@overload
async def get_event(
self,
event_id: str,
redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.redact,
get_prev_content: bool = ...,
allow_rejected: bool = ...,
allow_none: Literal[False] = ...,
check_room_id: Optional[str] = ...,
) -> EventBase:
...
@overload
async def get_event(
self,
event_id: str,
redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.redact,
get_prev_content: bool = ...,
allow_rejected: bool = ...,
allow_none: Literal[True] = ...,
check_room_id: Optional[str] = ...,
) -> Optional[EventBase]:
...
@cancellable
async def get_event(
self,
event_id: str,
redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.redact,
get_prev_content: bool = False,
allow_rejected: bool = False,
allow_none: bool = False,
check_room_id: Optional[str] = None,
) -> Optional[EventBase]:
"""Get an event from the database by event_id.
Args:
event_id: The event_id of the event to fetch
redact_behaviour: Determine what to do with a redacted event. Possible values:
* as_is - Return the full event body with no redacted content
* redact - Return the event but with a redacted body
* block - Do not return redacted events (behave as per allow_none
if the event is redacted)
get_prev_content: If True and event is a state event,
include the previous states content in the unsigned field.
allow_rejected: If True, return rejected events. Otherwise,
behave as per allow_none.
allow_none: If True, return None if no event found, if
False throw a NotFoundError
check_room_id: if not None, check the room of the found event.
If there is a mismatch, behave as per allow_none.
Returns:
The event, or None if the event was not found and allow_none is `True`.
"""
if not isinstance(event_id, str):
raise TypeError("Invalid event event_id %r" % (event_id,))
events = await self.get_events_as_list(
[event_id],
redact_behaviour=redact_behaviour,
get_prev_content=get_prev_content,
allow_rejected=allow_rejected,
)
event = events[0] if events else None
if event is not None and check_room_id is not None:
if event.room_id != check_room_id:
event = None
if event is None and not allow_none:
raise NotFoundError("Could not find event %s" % (event_id,))
return event
async def get_events(
self,
event_ids: Collection[str],
redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.redact,
get_prev_content: bool = False,
allow_rejected: bool = False,
) -> Dict[str, EventBase]:
"""Get events from the database
Args:
event_ids: The event_ids of the events to fetch
redact_behaviour: Determine what to do with a redacted event. Possible
values:
* as_is - Return the full event body with no redacted content
* redact - Return the event but with a redacted body
* block - Do not return redacted events (omit them from the response)
get_prev_content: If True and event is a state event,
include the previous states content in the unsigned field.
allow_rejected: If True, return rejected events. Otherwise,
omits rejected events from the response.
Returns:
A mapping from event_id to event.
"""
events = await self.get_events_as_list(
event_ids,
redact_behaviour=redact_behaviour,
get_prev_content=get_prev_content,
allow_rejected=allow_rejected,
)
return {e.event_id: e for e in events}
@trace
@tag_args
@cancellable
async def get_events_as_list(
self,
event_ids: Collection[str],
redact_behaviour: EventRedactBehaviour = EventRedactBehaviour.redact,
get_prev_content: bool = False,
allow_rejected: bool = False,
) -> List[EventBase]:
"""Get events from the database and return in a list in the same order
as given by `event_ids` arg.
Unknown events will be omitted from the response.
Args:
event_ids: The event_ids of the events to fetch
redact_behaviour: Determine what to do with a redacted event. Possible values:
* as_is - Return the full event body with no redacted content
* redact - Return the event but with a redacted body
* block - Do not return redacted events (omit them from the response)
get_prev_content: If True and event is a state event,
include the previous states content in the unsigned field.
allow_rejected: If True, return rejected events. Otherwise,
omits rejected events from the response.
Returns:
List of events fetched from the database. The events are in the same
order as `event_ids` arg.
Note that the returned list may be smaller than the list of event
IDs if not all events could be fetched.
"""
if not event_ids:
return []
# there may be duplicates so we cast the list to a set
event_entry_map = await self.get_unredacted_events_from_cache_or_db(
set(event_ids), allow_rejected=allow_rejected
)
events = []
for event_id in event_ids:
entry = event_entry_map.get(event_id, None)
if not entry:
continue
if not allow_rejected:
assert not entry.event.rejected_reason, (
"rejected event returned from _get_events_from_cache_or_db despite "
"allow_rejected=False"
)
# We may not have had the original event when we received a redaction, so
# we have to recheck auth now.
if not allow_rejected and entry.event.type == EventTypes.Redaction:
if entry.event.redacts is None:
# A redacted redaction doesn't have a `redacts` key, in
# which case lets just withhold the event.
#
# Note: Most of the time if the redactions has been
# redacted we still have the un-redacted event in the DB
# and so we'll still see the `redacts` key. However, this
# isn't always true e.g. if we have censored the event.
logger.debug(
"Withholding redaction event %s as we don't have redacts key",
event_id,
)
continue
redacted_event_id = entry.event.redacts
event_map = await self.get_unredacted_events_from_cache_or_db(
[redacted_event_id]
)
original_event_entry = event_map.get(redacted_event_id)
if not original_event_entry:
# we don't have the redacted event (or it was rejected).
#
# We assume that the redaction isn't authorized for now; if the
# redacted event later turns up, the redaction will be re-checked,
# and if it is found valid, the original will get redacted before it
# is served to the client.
logger.debug(
"Withholding redaction event %s since we don't (yet) have the "
"original %s",
event_id,
redacted_event_id,
)
continue
original_event = original_event_entry.event
if original_event.type == EventTypes.Create:
# we never serve redactions of Creates to clients.
logger.info(
"Withholding redaction %s of create event %s",
event_id,
redacted_event_id,
)
continue
if original_event.room_id != entry.event.room_id:
logger.info(
"Withholding redaction %s of event %s from a different room",
event_id,
redacted_event_id,
)
continue
if entry.event.internal_metadata.need_to_check_redaction():
original_domain = get_domain_from_id(original_event.sender)
redaction_domain = get_domain_from_id(entry.event.sender)
if original_domain != redaction_domain:
# the senders don't match, so this is forbidden
logger.info(
"Withholding redaction %s whose sender domain %s doesn't "
"match that of redacted event %s %s",
event_id,
redaction_domain,
redacted_event_id,
original_domain,
)
continue
# Update the cache to save doing the checks again.
entry.event.internal_metadata.recheck_redaction = False
event = entry.event
if entry.redacted_event:
if redact_behaviour == EventRedactBehaviour.block:
# Skip this event
continue
elif redact_behaviour == EventRedactBehaviour.redact:
event = entry.redacted_event
events.append(event)
if get_prev_content:
if "replaces_state" in event.unsigned:
prev = await self.get_event(
event.unsigned["replaces_state"],
get_prev_content=False,
allow_none=True,
)
if prev:
event.unsigned = dict(event.unsigned)
event.unsigned["prev_content"] = prev.content
event.unsigned["prev_sender"] = prev.sender
return events
@cancellable
async def get_unredacted_events_from_cache_or_db(
self,
event_ids: Iterable[str],
allow_rejected: bool = False,
) -> Dict[str, EventCacheEntry]:
"""Fetch a bunch of events from the cache or the database.
Note that the events pulled by this function will not have any redactions
applied, and no guarantee is made about the ordering of the events returned.
If events are pulled from the database, they will be cached for future lookups.
Unknown events are omitted from the response.
Args:
event_ids: The event_ids of the events to fetch
allow_rejected: Whether to include rejected events. If False,
rejected events are omitted from the response.
Returns:
map from event id to result
"""
# Shortcut: check if we have any events in the *in memory* cache - this function
# may be called repeatedly for the same event so at this point we cannot reach
# out to any external cache for performance reasons. The external cache is
# checked later on in the `get_missing_events_from_cache_or_db` function below.
event_entry_map = self._get_events_from_local_cache(
event_ids,
)
missing_events_ids = {e for e in event_ids if e not in event_entry_map}
# We now look up if we're already fetching some of the events in the DB,
# if so we wait for those lookups to finish instead of pulling the same
# events out of the DB multiple times.
#
# Note: we might get the same `ObservableDeferred` back for multiple
# events we're already fetching, so we deduplicate the deferreds to
# avoid extraneous work (if we don't do this we can end up in a n^2 mode
# when we wait on the same Deferred N times, then try and merge the
# same dict into itself N times).
already_fetching_ids: Set[str] = set()
already_fetching_deferreds: Set[
ObservableDeferred[Dict[str, EventCacheEntry]]
] = set()
for event_id in missing_events_ids:
deferred = self._current_event_fetches.get(event_id)
if deferred is not None:
# We're already pulling the event out of the DB. Add the deferred
# to the collection of deferreds to wait on.
already_fetching_ids.add(event_id)
already_fetching_deferreds.add(deferred)
missing_events_ids.difference_update(already_fetching_ids)
if missing_events_ids:
async def get_missing_events_from_cache_or_db() -> Dict[
str, EventCacheEntry
]:
"""Fetches the events in `missing_event_ids` from the database.
Also creates entries in `self._current_event_fetches` to allow
concurrent `_get_events_from_cache_or_db` calls to reuse the same fetch.
"""
log_ctx = current_context()
log_ctx.record_event_fetch(len(missing_events_ids))
# Add entries to `self._current_event_fetches` for each event we're
# going to pull from the DB. We use a single deferred that resolves
# to all the events we pulled from the DB (this will result in this
# function returning more events than requested, but that can happen
# already due to `_get_events_from_db`).
fetching_deferred: ObservableDeferred[
Dict[str, EventCacheEntry]
] = ObservableDeferred(defer.Deferred(), consumeErrors=True)
for event_id in missing_events_ids:
self._current_event_fetches[event_id] = fetching_deferred
# Note that _get_events_from_db is also responsible for turning db rows
# into FrozenEvents (via _get_event_from_row), which involves seeing if
# the events have been redacted, and if so pulling the redaction event
# out of the database to check it.
#
try:
# Try to fetch from any external cache. We already checked the
# in-memory cache above.
missing_events = await self._get_events_from_external_cache(
missing_events_ids,
)
# Now actually fetch any remaining events from the DB
db_missing_events = await self._get_events_from_db(
missing_events_ids - missing_events.keys(),
)
missing_events.update(db_missing_events)
except Exception as e:
with PreserveLoggingContext():
fetching_deferred.errback(e)
raise e
finally:
# Ensure that we mark these events as no longer being fetched.
for event_id in missing_events_ids:
self._current_event_fetches.pop(event_id, None)
with PreserveLoggingContext():
fetching_deferred.callback(missing_events)
return missing_events
# We must allow the database fetch to complete in the presence of
# cancellations, since multiple `_get_events_from_cache_or_db` calls can
# reuse the same fetch.
missing_events: Dict[str, EventCacheEntry] = await delay_cancellation(
get_missing_events_from_cache_or_db()
)
event_entry_map.update(missing_events)
if already_fetching_deferreds:
# Wait for the other event requests to finish and add their results
# to ours.
results = await make_deferred_yieldable(
defer.gatherResults(
(d.observe() for d in already_fetching_deferreds),
consumeErrors=True,
)
).addErrback(unwrapFirstError)
for result in results:
# We filter out events that we haven't asked for as we might get
# a *lot* of superfluous events back, and there is no point
# going through and inserting them all (which can take time).
event_entry_map.update(
(event_id, entry)
for event_id, entry in result.items()
if event_id in already_fetching_ids
)
if not allow_rejected:
event_entry_map = {
event_id: entry
for event_id, entry in event_entry_map.items()
if not entry.event.rejected_reason
}
return event_entry_map
def invalidate_get_event_cache_after_txn(
self, txn: LoggingTransaction, event_id: str
) -> None:
"""
Prepares a database transaction to invalidate the get event cache for a given
event ID when executed successfully. This is achieved by attaching two callbacks
to the transaction, one to invalidate the async cache and one for the in memory
sync cache (importantly called in that order).
Arguments:
txn: the database transaction to attach the callbacks to
event_id: the event ID to be invalidated from caches
"""
txn.async_call_after(self._invalidate_async_get_event_cache, event_id)
txn.call_after(self._invalidate_local_get_event_cache, event_id)
async def _invalidate_async_get_event_cache(self, event_id: str) -> None:
"""
Invalidates an event in the asynchronous get event cache, which may be remote.
Arguments:
event_id: the event ID to invalidate
"""
await self._get_event_cache.invalidate((event_id,))
def _invalidate_local_get_event_cache(self, event_id: str) -> None:
"""
Invalidates an event in local in-memory get event caches.
Arguments:
event_id: the event ID to invalidate
"""
self._get_event_cache.invalidate_local((event_id,))
self._event_ref.pop(event_id, None)
self._current_event_fetches.pop(event_id, None)
def _invalidate_local_get_event_cache_all(self) -> None:
"""Clears the in-memory get event caches.
Used when we purge room history.
"""
self._get_event_cache.clear()
self._event_ref.clear()
self._current_event_fetches.clear()
async def _get_events_from_cache(
self, events: Iterable[str], update_metrics: bool = True
) -> Dict[str, EventCacheEntry]:
"""Fetch events from the caches, both in memory and any external.
May return rejected events.
Args:
events: list of event_ids to fetch
update_metrics: Whether to update the cache hit ratio metrics
"""
event_map = self._get_events_from_local_cache(
events, update_metrics=update_metrics
)
missing_event_ids = (e for e in events if e not in event_map)
event_map.update(
await self._get_events_from_external_cache(
events=missing_event_ids,
update_metrics=update_metrics,
)
)
return event_map
async def _get_events_from_external_cache(
self, events: Iterable[str], update_metrics: bool = True
) -> Dict[str, EventCacheEntry]:
"""Fetch events from any configured external cache.
May return rejected events.
Args:
events: list of event_ids to fetch
update_metrics: Whether to update the cache hit ratio metrics
"""
event_map = {}
for event_id in events:
ret = await self._get_event_cache.get_external(
(event_id,), None, update_metrics=update_metrics
)
if ret:
event_map[event_id] = ret
return event_map
def _get_events_from_local_cache(
self, events: Iterable[str], update_metrics: bool = True
) -> Dict[str, EventCacheEntry]:
"""Fetch events from the local, in memory, caches.
May return rejected events.
Args:
events: list of event_ids to fetch
update_metrics: Whether to update the cache hit ratio metrics
"""
event_map = {}
for event_id in events:
# First check if it's in the event cache
ret = self._get_event_cache.get_local(
(event_id,), None, update_metrics=update_metrics
)
if ret:
event_map[event_id] = ret
continue
# Otherwise check if we still have the event in memory.
event = self._event_ref.get(event_id)
if event:
# Reconstruct an event cache entry
cache_entry = EventCacheEntry(
event=event,
# We don't cache weakrefs to redacted events, so we know
# this is None.
redacted_event=None,
)
event_map[event_id] = cache_entry
# We add the entry back into the cache as we want to keep
# recently queried events in the cache.
self._get_event_cache.set_local((event_id,), cache_entry)
return event_map
async def get_stripped_room_state_from_event_context(
self,
context: EventContext,
state_keys_to_include: StateFilter,
membership_user_id: Optional[str] = None,
) -> List[JsonDict]:
"""
Retrieve the stripped state from a room, given an event context to retrieve state
from as well as the state types to include. Optionally, include the membership
events from a specific user.
"Stripped" state means that only the `type`, `state_key`, `content` and `sender` keys
are included from each state event.
Args:
context: The event context to retrieve state of the room from.
state_keys_to_include: The state events to include, for each event type.
membership_user_id: An optional user ID to include the stripped membership state
events of. This is useful when generating the stripped state of a room for
invites. We want to send membership events of the inviter, so that the
invitee can display the inviter's profile information if the room lacks any.
Returns:
A list of dictionaries, each representing a stripped state event from the room.
"""
if membership_user_id:
types = chain(
state_keys_to_include.to_types(),
[(EventTypes.Member, membership_user_id)],
)
filter = StateFilter.from_types(types)
else:
filter = state_keys_to_include
selected_state_ids = await context.get_current_state_ids(filter)
# We know this event is not an outlier, so this must be
# non-None.
assert selected_state_ids is not None
# Confusingly, get_current_state_events may return events that are discarded by
# the filter, if they're in context._state_delta_due_to_event. Strip these away.
selected_state_ids = filter.filter_state(selected_state_ids)
state_to_include = await self.get_events(selected_state_ids.values())
return [
{
"type": e.type,
"state_key": e.state_key,
"content": e.content,
"sender": e.sender,
}
for e in state_to_include.values()
]
def _maybe_start_fetch_thread(self) -> None:
"""Starts an event fetch thread if we are not yet at the maximum number."""
with self._event_fetch_lock:
if (
self._event_fetch_list
and self._event_fetch_ongoing < EVENT_QUEUE_THREADS
):
self._event_fetch_ongoing += 1
event_fetch_ongoing_gauge.set(self._event_fetch_ongoing)
# `_event_fetch_ongoing` is decremented in `_fetch_thread`.
should_start = True
else:
should_start = False
if should_start:
run_as_background_process("fetch_events", self._fetch_thread)
async def _fetch_thread(self) -> None:
"""Services requests for events from `_event_fetch_list`."""
exc = None
try:
await self.db_pool.runWithConnection(self._fetch_loop)
except BaseException as e:
exc = e
raise
finally:
should_restart = False
event_fetches_to_fail = []
with self._event_fetch_lock:
self._event_fetch_ongoing -= 1
event_fetch_ongoing_gauge.set(self._event_fetch_ongoing)
# There may still be work remaining in `_event_fetch_list` if we
# failed, or it was added in between us deciding to exit and
# decrementing `_event_fetch_ongoing`.
if self._event_fetch_list:
if exc is None:
# We decided to exit, but then some more work was added
# before `_event_fetch_ongoing` was decremented.
# If a new event fetch thread was not started, we should
# restart ourselves since the remaining event fetch threads
# may take a while to get around to the new work.
#
# Unfortunately it is not possible to tell whether a new
# event fetch thread was started, so we restart
# unconditionally. If we are unlucky, we will end up with
# an idle fetch thread, but it will time out after
# `EVENT_QUEUE_ITERATIONS * EVENT_QUEUE_TIMEOUT_S` seconds
# in any case.
#
# Note that multiple fetch threads may run down this path at
# the same time.
should_restart = True
elif isinstance(exc, Exception):
if self._event_fetch_ongoing == 0:
# We were the last remaining fetcher and failed.
# Fail any outstanding fetches since no one else will
# handle them.
event_fetches_to_fail = self._event_fetch_list
self._event_fetch_list = []
else:
# We weren't the last remaining fetcher, so another
# fetcher will pick up the work. This will either happen
# after their existing work, however long that takes,
# or after at most `EVENT_QUEUE_TIMEOUT_S` seconds if
# they are idle.
pass
else:
# The exception is a `SystemExit`, `KeyboardInterrupt` or
# `GeneratorExit`. Don't try to do anything clever here.
pass
if should_restart:
# We exited cleanly but noticed more work.
self._maybe_start_fetch_thread()
if event_fetches_to_fail:
# We were the last remaining fetcher and failed.
# Fail any outstanding fetches since no one else will handle them.
assert exc is not None
with PreserveLoggingContext():
for _, deferred in event_fetches_to_fail:
deferred.errback(exc)
def _fetch_loop(self, conn: LoggingDatabaseConnection) -> None:
"""Takes a database connection and waits for requests for events from
the _event_fetch_list queue.
"""
i = 0
while True:
with self._event_fetch_lock:
event_list = self._event_fetch_list
self._event_fetch_list = []
if not event_list:
# There are no requests waiting. If we haven't yet reached the
# maximum iteration limit, wait for some more requests to turn up.
# Otherwise, bail out.
single_threaded = self.database_engine.single_threaded
if (
not self.USE_DEDICATED_DB_THREADS_FOR_EVENT_FETCHING
or single_threaded
or i > EVENT_QUEUE_ITERATIONS
):
return
self._event_fetch_lock.wait(EVENT_QUEUE_TIMEOUT_S)
i += 1
continue
i = 0
self._fetch_event_list(conn, event_list)
def _fetch_event_list(
self,
conn: LoggingDatabaseConnection,
event_list: List[Tuple[Iterable[str], "defer.Deferred[Dict[str, _EventRow]]"]],
) -> None:
"""Handle a load of requests from the _event_fetch_list queue
Args:
conn: database connection
event_list:
The fetch requests. Each entry consists of a list of event
ids to be fetched, and a deferred to be completed once the
events have been fetched.
The deferreds are callbacked with a dictionary mapping from event id
to event row. Note that it may well contain additional events that
were not part of this request.
"""
with Measure(self._clock, "_fetch_event_list"):
try:
events_to_fetch = {
event_id for events, _ in event_list for event_id in events
}
row_dict = self.db_pool.new_transaction(
conn,
"do_fetch",
[],
[],
[],
self._fetch_event_rows,
events_to_fetch,
)
# We only want to resolve deferreds from the main thread
def fire() -> None:
for _, d in event_list:
d.callback(row_dict)
with PreserveLoggingContext():
self.hs.get_reactor().callFromThread(fire)
except Exception as e:
logger.exception("do_fetch")
# We only want to resolve deferreds from the main thread
def fire_errback(exc: Exception) -> None:
for _, d in event_list:
d.errback(exc)
with PreserveLoggingContext():
self.hs.get_reactor().callFromThread(fire_errback, e)
async def _get_events_from_db(
self, event_ids: Collection[str]
) -> Dict[str, EventCacheEntry]:
"""Fetch a bunch of events from the database.
May return rejected events.
Returned events will be added to the cache for future lookups.
Unknown events are omitted from the response.
Args:
event_ids: The event_ids of the events to fetch
Returns:
map from event id to result. May return extra events which
weren't asked for.
"""
fetched_event_ids: Set[str] = set()
fetched_events: Dict[str, _EventRow] = {}
async def _fetch_event_ids_and_get_outstanding_redactions(
event_ids_to_fetch: Collection[str],
) -> Collection[str]:
"""
Fetch all of the given event_ids and return any associated redaction event_ids
that we still need to fetch in the next iteration.
"""
row_map = await self._enqueue_events(event_ids_to_fetch)
# we need to recursively fetch any redactions of those events
redaction_ids: Set[str] = set()
for event_id in event_ids_to_fetch:
row = row_map.get(event_id)
fetched_event_ids.add(event_id)
if row:
fetched_events[event_id] = row
redaction_ids.update(row.redactions)
event_ids_to_fetch = redaction_ids.difference(fetched_event_ids)
return event_ids_to_fetch
# Grab the initial list of events requested
event_ids_to_fetch = await _fetch_event_ids_and_get_outstanding_redactions(
event_ids
)
# Then go and recursively find all of the associated redactions
with start_active_span("recursively fetching redactions"):
while event_ids_to_fetch:
logger.debug("Also fetching redaction events %s", event_ids_to_fetch)
event_ids_to_fetch = (
await _fetch_event_ids_and_get_outstanding_redactions(
event_ids_to_fetch
)
)
# build a map from event_id to EventBase
event_map: Dict[str, EventBase] = {}
for event_id, row in fetched_events.items():
assert row.event_id == event_id
rejected_reason = row.rejected_reason
# If the event or metadata cannot be parsed, log the error and act
# as if the event is unknown.
try:
d = db_to_json(row.json)
except ValueError:
logger.error("Unable to parse json from event: %s", event_id)
continue
try:
internal_metadata = db_to_json(row.internal_metadata)
except ValueError:
logger.error(
"Unable to parse internal_metadata from event: %s", event_id
)
continue
format_version = row.format_version
if format_version is None:
# This means that we stored the event before we had the concept
# of a event format version, so it must be a V1 event.
format_version = EventFormatVersions.ROOM_V1_V2
room_version_id = row.room_version_id
room_version: Optional[RoomVersion]
if not room_version_id:
# this should only happen for out-of-band membership events which
# arrived before #6983 landed. For all other events, we should have
# an entry in the 'rooms' table.
#
# However, the 'out_of_band_membership' flag is unreliable for older
# invites, so just accept it for all membership events.
#
if d["type"] != EventTypes.Member:
raise InvalidEventError(
"Room %s for event %s is unknown" % (d["room_id"], event_id)
)
# so, assuming this is an out-of-band-invite that arrived before #6983
# landed, we know that the room version must be v5 or earlier (because
# v6 hadn't been invented at that point, so invites from such rooms
# would have been rejected.)
#
# The main reason we need to know the room version here (other than
# choosing the right python Event class) is in case the event later has
# to be redacted - and all the room versions up to v5 used the same
# redaction algorithm.
#
# So, the following approximations should be adequate.
if format_version == EventFormatVersions.ROOM_V1_V2:
# if it's event format v1 then it must be room v1 or v2
room_version = RoomVersions.V1
elif format_version == EventFormatVersions.ROOM_V3:
# if it's event format v2 then it must be room v3
room_version = RoomVersions.V3
else:
# if it's event format v3 then it must be room v4 or v5
room_version = RoomVersions.V5
else:
room_version = KNOWN_ROOM_VERSIONS.get(room_version_id)
if not room_version:
logger.warning(
"Event %s in room %s has unknown room version %s",
event_id,
d["room_id"],
room_version_id,
)
continue
if room_version.event_format != format_version:
logger.error(
"Event %s in room %s with version %s has wrong format: "
"expected %s, was %s",
event_id,
d["room_id"],
room_version_id,
room_version.event_format,
format_version,
)
continue
original_ev = make_event_from_dict(
event_dict=d,
room_version=room_version,
internal_metadata_dict=internal_metadata,
rejected_reason=rejected_reason,
)
original_ev.internal_metadata.stream_ordering = row.stream_ordering
original_ev.internal_metadata.outlier = row.outlier
# Consistency check: if the content of the event has been modified in the
# database, then the calculated event ID will not match the event id in the
# database.
if original_ev.event_id != event_id:
# it's difficult to see what to do here. Pretty much all bets are off
# if Synapse cannot rely on the consistency of its database.
raise RuntimeError(
f"Database corruption: Event {event_id} in room {d['room_id']} "
f"from the database appears to have been modified (calculated "
f"event id {original_ev.event_id})"
)
event_map[event_id] = original_ev
# finally, we can decide whether each one needs redacting, and build
# the cache entries.
result_map: Dict[str, EventCacheEntry] = {}
for event_id, original_ev in event_map.items():
redactions = fetched_events[event_id].redactions
redacted_event = self._maybe_redact_event_row(
original_ev, redactions, event_map
)
cache_entry = EventCacheEntry(
event=original_ev, redacted_event=redacted_event
)
await self._get_event_cache.set((event_id,), cache_entry)
result_map[event_id] = cache_entry
if not redacted_event:
# We only cache references to unredacted events.
self._event_ref[event_id] = original_ev
return result_map
async def _enqueue_events(self, events: Collection[str]) -> Dict[str, _EventRow]:
"""Fetches events from the database using the _event_fetch_list. This
allows batch and bulk fetching of events - it allows us to fetch events
without having to create a new transaction for each request for events.
Args:
events: events to be fetched.
Returns:
A map from event id to row data from the database. May contain events
that weren't requested.
"""
events_d: "defer.Deferred[Dict[str, _EventRow]]" = defer.Deferred()
with self._event_fetch_lock:
self._event_fetch_list.append((events, events_d))
self._event_fetch_lock.notify()
self._maybe_start_fetch_thread()
logger.debug("Loading %d events: %s", len(events), events)
with PreserveLoggingContext():
row_map = await events_d
logger.debug("Loaded %d events (%d rows)", len(events), len(row_map))
return row_map
def _fetch_event_rows(
self, txn: LoggingTransaction, event_ids: Iterable[str]
) -> Dict[str, _EventRow]:
"""Fetch event rows from the database
Events which are not found are omitted from the result.
Args:
txn: The database transaction.
event_ids: event IDs to fetch
Returns:
A map from event id to event info.
"""
event_dict = {}
for evs in batch_iter(event_ids, 200):
sql = """\
SELECT
e.event_id,
e.stream_ordering,
ej.internal_metadata,
ej.json,
ej.format_version,
r.room_version,
rej.reason,
e.outlier
FROM events AS e
JOIN event_json AS ej USING (event_id)
LEFT JOIN rooms r ON r.room_id = e.room_id
LEFT JOIN rejections as rej USING (event_id)
WHERE """
clause, args = make_in_list_sql_clause(
txn.database_engine, "e.event_id", evs
)
txn.execute(sql + clause, args)
for row in txn:
event_id = row[0]
event_dict[event_id] = _EventRow(
event_id=event_id,
stream_ordering=row[1],
internal_metadata=row[2],
json=row[3],
format_version=row[4],
room_version_id=row[5],
rejected_reason=row[6],
redactions=[],
outlier=row[7],
)
# check for redactions
redactions_sql = "SELECT event_id, redacts FROM redactions WHERE "
clause, args = make_in_list_sql_clause(txn.database_engine, "redacts", evs)
txn.execute(redactions_sql + clause, args)
for redacter, redacted in txn:
d = event_dict.get(redacted)
if d:
d.redactions.append(redacter)
return event_dict
def _maybe_redact_event_row(
self,
original_ev: EventBase,
redactions: Iterable[str],
event_map: Dict[str, EventBase],
) -> Optional[EventBase]:
"""Given an event object and a list of possible redacting event ids,
determine whether to honour any of those redactions and if so return a redacted
event.
Args:
original_ev: The original event.
redactions: list of event ids of potential redaction events
event_map: other events which have been fetched, in which we can
look up the redaaction events. Map from event id to event.
Returns:
If the event should be redacted, a pruned event object. Otherwise, None.
"""
if original_ev.type == "m.room.create":
# we choose to ignore redactions of m.room.create events.
return None
for redaction_id in redactions:
redaction_event = event_map.get(redaction_id)
if not redaction_event or redaction_event.rejected_reason:
# we don't have the redaction event, or the redaction event was not
# authorized.
logger.debug(
"%s was redacted by %s but redaction not found/authed",
original_ev.event_id,
redaction_id,
)
continue
if redaction_event.room_id != original_ev.room_id:
logger.debug(
"%s was redacted by %s but redaction was in a different room!",
original_ev.event_id,
redaction_id,
)
continue
# Starting in room version v3, some redactions need to be
# rechecked if we didn't have the redacted event at the
# time, so we recheck on read instead.
if redaction_event.internal_metadata.need_to_check_redaction():
expected_domain = get_domain_from_id(original_ev.sender)
if get_domain_from_id(redaction_event.sender) == expected_domain:
# This redaction event is allowed. Mark as not needing a recheck.
redaction_event.internal_metadata.recheck_redaction = False
else:
# Senders don't match, so the event isn't actually redacted
logger.debug(
"%s was redacted by %s but the senders don't match",
original_ev.event_id,
redaction_id,
)
continue
logger.debug("Redacting %s due to %s", original_ev.event_id, redaction_id)
# we found a good redaction event. Redact!
redacted_event = prune_event(original_ev)
redacted_event.unsigned["redacted_by"] = redaction_id
# It's fine to add the event directly, since get_pdu_json
# will serialise this field correctly
redacted_event.unsigned["redacted_because"] = redaction_event
return redacted_event
# no valid redaction found for this event
return None
async def have_events_in_timeline(self, event_ids: Iterable[str]) -> Set[str]:
"""Given a list of event ids, check if we have already processed and
stored them as non outliers.
"""
rows = await self.db_pool.simple_select_many_batch(
table="events",
retcols=("event_id",),
column="event_id",
iterable=list(event_ids),
keyvalues={"outlier": False},
desc="have_events_in_timeline",
)
return {r["event_id"] for r in rows}
@trace
@tag_args
async def have_seen_events(
self, room_id: str, event_ids: Iterable[str]
) -> Set[str]:
"""Given a list of event ids, check if we have already processed them.
The room_id is only used to structure the cache (so that it can later be
invalidated by room_id) - there is no guarantee that the events are actually
in the room in question.
Args:
room_id: Room we are polling
event_ids: events we are looking for
Returns:
The set of events we have already seen.
"""
# @cachedList chomps lots of memory if you call it with a big list, so
# we break it down. However, each batch requires its own index scan, so we make
# the batches as big as possible.
results: Set[str] = set()
for event_ids_chunk in batch_iter(event_ids, 500):
events_seen_dict = await self._have_seen_events_dict(
room_id, event_ids_chunk
)
results.update(
eid for (eid, have_event) in events_seen_dict.items() if have_event
)
return results
@cachedList(cached_method_name="have_seen_event", list_name="event_ids")
async def _have_seen_events_dict(
self,
room_id: str,
event_ids: Collection[str],
) -> Dict[str, bool]:
"""Helper for have_seen_events
Returns:
a dict {event_id -> bool}
"""
# TODO: We used to query the _get_event_cache here as a fast-path before
# hitting the database. For if an event were in the cache, we've presumably
# seen it before.
#
# But this is currently an invalid assumption due to the _get_event_cache
# not being invalidated when purging events from a room. The optimisation can
# be re-added after https://github.com/matrix-org/synapse/issues/13476
def have_seen_events_txn(txn: LoggingTransaction) -> Dict[str, bool]:
# we deliberately do *not* query the database for room_id, to make the
# query an index-only lookup on `events_event_id_key`.
#
# We therefore pull the events from the database into a set...
sql = "SELECT event_id FROM events AS e WHERE "
clause, args = make_in_list_sql_clause(
txn.database_engine, "e.event_id", event_ids
)
txn.execute(sql + clause, args)
found_events = {eid for eid, in txn}
# ... and then we can update the results for each key
return {eid: (eid in found_events) for eid in event_ids}
return await self.db_pool.runInteraction(
"have_seen_events", have_seen_events_txn
)
@cached(max_entries=100000, tree=True)
async def have_seen_event(self, room_id: str, event_id: str) -> bool:
res = await self._have_seen_events_dict(room_id, [event_id])
return res[event_id]
def _get_current_state_event_counts_txn(
self, txn: LoggingTransaction, room_id: str
) -> int:
"""
See get_current_state_event_counts.
"""
sql = "SELECT COUNT(*) FROM current_state_events WHERE room_id=?"
txn.execute(sql, (room_id,))
row = txn.fetchone()
return row[0] if row else 0
async def get_current_state_event_counts(self, room_id: str) -> int:
"""
Gets the current number of state events in a room.
Args:
room_id: The room ID to query.
Returns:
The current number of state events.
"""
return await self.db_pool.runInteraction(
"get_current_state_event_counts",
self._get_current_state_event_counts_txn,
room_id,
)
async def get_room_complexity(self, room_id: str) -> Dict[str, float]:
"""
Get a rough approximation of the complexity of the room. This is used by
remote servers to decide whether they wish to join the room or not.
Higher complexity value indicates that being in the room will consume
more resources.
Args:
room_id: The room ID to query.
Returns:
Map of complexity version to complexity.
"""
state_events = await self.get_current_state_event_counts(room_id)
# Call this one "v1", so we can introduce new ones as we want to develop
# it.
complexity_v1 = round(state_events / 500, 2)
return {"v1": complexity_v1}
async def get_all_new_forward_event_rows(
self, instance_name: str, last_id: int, current_id: int, limit: int
) -> List[Tuple[int, str, str, str, str, str, str, str, bool, bool]]:
"""Returns new events, for the Events replication stream
Args:
last_id: the last stream_id from the previous batch.
current_id: the maximum stream_id to return up to
limit: the maximum number of rows to return
Returns:
a list of events stream rows. Each tuple consists of a stream id as
the first element, followed by fields suitable for casting into an
EventsStreamRow.
"""
def get_all_new_forward_event_rows(
txn: LoggingTransaction,
) -> List[Tuple[int, str, str, str, str, str, str, str, bool, bool]]:
sql = (
"SELECT e.stream_ordering, e.event_id, e.room_id, e.type,"
" se.state_key, redacts, relates_to_id, membership, rejections.reason IS NOT NULL,"
" e.outlier"
" FROM events AS e"
" LEFT JOIN redactions USING (event_id)"
" LEFT JOIN state_events AS se USING (event_id)"
" LEFT JOIN event_relations USING (event_id)"
" LEFT JOIN room_memberships USING (event_id)"
" LEFT JOIN rejections USING (event_id)"
" WHERE ? < stream_ordering AND stream_ordering <= ?"
" AND instance_name = ?"
" ORDER BY stream_ordering ASC"
" LIMIT ?"
)
txn.execute(sql, (last_id, current_id, instance_name, limit))
return cast(
List[Tuple[int, str, str, str, str, str, str, str, bool, bool]],
txn.fetchall(),
)
return await self.db_pool.runInteraction(
"get_all_new_forward_event_rows", get_all_new_forward_event_rows
)
async def get_ex_outlier_stream_rows(
self, instance_name: str, last_id: int, current_id: int
) -> List[Tuple[int, str, str, str, str, str, str, str, bool, bool]]:
"""Returns de-outliered events, for the Events replication stream
Args:
last_id: the last stream_id from the previous batch.
current_id: the maximum stream_id to return up to
Returns:
a list of events stream rows. Each tuple consists of a stream id as
the first element, followed by fields suitable for casting into an
EventsStreamRow.
"""
def get_ex_outlier_stream_rows_txn(
txn: LoggingTransaction,
) -> List[Tuple[int, str, str, str, str, str, str, str, bool, bool]]:
sql = (
"SELECT out.event_stream_ordering, e.event_id, e.room_id, e.type,"
" se.state_key, redacts, relates_to_id, membership, rejections.reason IS NOT NULL,"
" e.outlier"
" FROM events AS e"
# NB: the next line (inner join) is what makes this query different from
# get_all_new_forward_event_rows.
" INNER JOIN ex_outlier_stream AS out USING (event_id)"
" LEFT JOIN redactions USING (event_id)"
" LEFT JOIN state_events AS se USING (event_id)"
" LEFT JOIN event_relations USING (event_id)"
" LEFT JOIN room_memberships USING (event_id)"
" LEFT JOIN rejections USING (event_id)"
" WHERE ? < out.event_stream_ordering"
" AND out.event_stream_ordering <= ?"
" AND out.instance_name = ?"
" ORDER BY out.event_stream_ordering ASC"
)
txn.execute(sql, (last_id, current_id, instance_name))
return cast(
List[Tuple[int, str, str, str, str, str, str, str, bool, bool]],
txn.fetchall(),
)
return await self.db_pool.runInteraction(
"get_ex_outlier_stream_rows", get_ex_outlier_stream_rows_txn
)
async def get_all_new_backfill_event_rows(
self, instance_name: str, last_id: int, current_id: int, limit: int
) -> Tuple[List[Tuple[int, Tuple[str, str, str, str, str, str]]], int, bool]:
"""Get updates for backfill replication stream, including all new
backfilled events and events that have gone from being outliers to not.
NOTE: The IDs given here are from replication, and so should be
*positive*.
Args:
instance_name: The writer we want to fetch updates from. Unused
here since there is only ever one writer.
last_id: The token to fetch updates from. Exclusive.
current_id: The token to fetch updates up to. Inclusive.
limit: The requested limit for the number of rows to return. The
function may return more or fewer rows.
Returns:
A tuple consisting of: the updates, a token to use to fetch
subsequent updates, and whether we returned fewer rows than exists
between the requested tokens due to the limit.
The token returned can be used in a subsequent call to this
function to get further updatees.
The updates are a list of 2-tuples of stream ID and the row data
"""
if last_id == current_id:
return [], current_id, False
def get_all_new_backfill_event_rows(
txn: LoggingTransaction,
) -> Tuple[List[Tuple[int, Tuple[str, str, str, str, str, str]]], int, bool]:
sql = (
"SELECT -e.stream_ordering, e.event_id, e.room_id, e.type,"
" se.state_key, redacts, relates_to_id"
" FROM events AS e"
" LEFT JOIN redactions USING (event_id)"
" LEFT JOIN state_events AS se USING (event_id)"
" LEFT JOIN event_relations USING (event_id)"
" WHERE ? > stream_ordering AND stream_ordering >= ?"
" AND instance_name = ?"
" ORDER BY stream_ordering ASC"
" LIMIT ?"
)
txn.execute(sql, (-last_id, -current_id, instance_name, limit))
new_event_updates: List[
Tuple[int, Tuple[str, str, str, str, str, str]]
] = []
row: Tuple[int, str, str, str, str, str, str]
# Type safety: iterating over `txn` yields `Tuple`, i.e.
# `Tuple[Any, ...]` of arbitrary length. Mypy detects assigning a
# variadic tuple to a fixed length tuple and flags it up as an error.
for row in txn: # type: ignore[assignment]
new_event_updates.append((row[0], row[1:]))
limited = False
if len(new_event_updates) == limit:
upper_bound = new_event_updates[-1][0]
limited = True
else:
upper_bound = current_id
sql = (
"SELECT -event_stream_ordering, e.event_id, e.room_id, e.type,"
" se.state_key, redacts, relates_to_id"
" FROM events AS e"
" INNER JOIN ex_outlier_stream AS out USING (event_id)"
" LEFT JOIN redactions USING (event_id)"
" LEFT JOIN state_events AS se USING (event_id)"
" LEFT JOIN event_relations USING (event_id)"
" WHERE ? > event_stream_ordering"
" AND event_stream_ordering >= ?"
" AND out.instance_name = ?"
" ORDER BY event_stream_ordering DESC"
)
txn.execute(sql, (-last_id, -upper_bound, instance_name))
# Type safety: iterating over `txn` yields `Tuple`, i.e.
# `Tuple[Any, ...]` of arbitrary length. Mypy detects assigning a
# variadic tuple to a fixed length tuple and flags it up as an error.
for row in txn: # type: ignore[assignment]
new_event_updates.append((row[0], row[1:]))
if len(new_event_updates) >= limit:
upper_bound = new_event_updates[-1][0]
limited = True
return new_event_updates, upper_bound, limited
return await self.db_pool.runInteraction(
"get_all_new_backfill_event_rows", get_all_new_backfill_event_rows
)
async def get_all_updated_current_state_deltas(
self, instance_name: str, from_token: int, to_token: int, target_row_count: int
) -> Tuple[List[Tuple[int, str, str, str, str]], int, bool]:
"""Fetch updates from current_state_delta_stream
Args:
from_token: The previous stream token. Updates from this stream id will
be excluded.
to_token: The current stream token (ie the upper limit). Updates up to this
stream id will be included (modulo the 'limit' param)
target_row_count: The number of rows to try to return. If more rows are
available, we will set 'limited' in the result. In the event of a large
batch, we may return more rows than this.
Returns:
A triplet `(updates, new_last_token, limited)`, where:
* `updates` is a list of database tuples.
* `new_last_token` is the new position in stream.
* `limited` is whether there are more updates to fetch.
"""
def get_all_updated_current_state_deltas_txn(
txn: LoggingTransaction,
) -> List[Tuple[int, str, str, str, str]]:
sql = """
SELECT stream_id, room_id, type, state_key, event_id
FROM current_state_delta_stream
WHERE ? < stream_id AND stream_id <= ?
AND instance_name = ?
ORDER BY stream_id ASC LIMIT ?
"""
txn.execute(sql, (from_token, to_token, instance_name, target_row_count))
return cast(List[Tuple[int, str, str, str, str]], txn.fetchall())
def get_deltas_for_stream_id_txn(
txn: LoggingTransaction, stream_id: int
) -> List[Tuple[int, str, str, str, str]]:
sql = """
SELECT stream_id, room_id, type, state_key, event_id
FROM current_state_delta_stream
WHERE stream_id = ?
"""
txn.execute(sql, [stream_id])
return cast(List[Tuple[int, str, str, str, str]], txn.fetchall())
# we need to make sure that, for every stream id in the results, we get *all*
# the rows with that stream id.
rows: List[Tuple[int, str, str, str, str]] = await self.db_pool.runInteraction(
"get_all_updated_current_state_deltas",
get_all_updated_current_state_deltas_txn,
)
# if we've got fewer rows than the limit, we're good
if len(rows) < target_row_count:
return rows, to_token, False
# we hit the limit, so reduce the upper limit so that we exclude the stream id
# of the last row in the result.
assert rows[-1][0] <= to_token
to_token = rows[-1][0] - 1
# search backwards through the list for the point to truncate
for idx in range(len(rows) - 1, 0, -1):
if rows[idx - 1][0] <= to_token:
return rows[:idx], to_token, True
# bother. We didn't get a full set of changes for even a single
# stream id. let's run the query again, without a row limit, but for
# just one stream id.
to_token += 1
rows = await self.db_pool.runInteraction(
"get_deltas_for_stream_id", get_deltas_for_stream_id_txn, to_token
)
return rows, to_token, True
@cached(max_entries=5000)
async def get_event_ordering(self, event_id: str) -> Tuple[int, int]:
res = await self.db_pool.simple_select_one(
table="events",
retcols=["topological_ordering", "stream_ordering"],
keyvalues={"event_id": event_id},
allow_none=True,
)
if not res:
raise SynapseError(404, "Could not find event %s" % (event_id,))
return int(res["topological_ordering"]), int(res["stream_ordering"])
async def get_next_event_to_expire(self) -> Optional[Tuple[str, int]]:
"""Retrieve the entry with the lowest expiry timestamp in the event_expiry
table, or None if there's no more event to expire.
Returns:
A tuple containing the event ID as its first element and an expiry timestamp
as its second one, if there's at least one row in the event_expiry table.
None otherwise.
"""
def get_next_event_to_expire_txn(
txn: LoggingTransaction,
) -> Optional[Tuple[str, int]]:
txn.execute(
"""
SELECT event_id, expiry_ts FROM event_expiry
ORDER BY expiry_ts ASC LIMIT 1
"""
)
return cast(Optional[Tuple[str, int]], txn.fetchone())
return await self.db_pool.runInteraction(
desc="get_next_event_to_expire", func=get_next_event_to_expire_txn
)
async def get_event_id_from_transaction_id_and_token_id(
self, room_id: str, user_id: str, token_id: int, txn_id: str
) -> Optional[str]:
"""Look up if we have already persisted an event for the transaction ID,
returning the event ID if so.
"""
return await self.db_pool.simple_select_one_onecol(
table="event_txn_id",
keyvalues={
"room_id": room_id,
"user_id": user_id,
"token_id": token_id,
"txn_id": txn_id,
},
retcol="event_id",
allow_none=True,
desc="get_event_id_from_transaction_id_and_token_id",
)
async def get_event_id_from_transaction_id_and_device_id(
self, room_id: str, user_id: str, device_id: str, txn_id: str
) -> Optional[str]:
"""Look up if we have already persisted an event for the transaction ID,
returning the event ID if so.
"""
return await self.db_pool.simple_select_one_onecol(
table="event_txn_id_device_id",
keyvalues={
"room_id": room_id,
"user_id": user_id,
"device_id": device_id,
"txn_id": txn_id,
},
retcol="event_id",
allow_none=True,
desc="get_event_id_from_transaction_id_and_device_id",
)
async def get_already_persisted_events(
self, events: Iterable[EventBase]
) -> Dict[str, str]:
"""Look up if we have already persisted an event for the transaction ID,
returning a mapping from event ID in the given list to the event ID of
an existing event.
Also checks if there are duplicates in the given events, if there are
will map duplicates to the *first* event.
"""
mapping = {}
txn_id_to_event: Dict[Tuple[str, int, str], str] = {}
for event in events:
token_id = getattr(event.internal_metadata, "token_id", None)
txn_id = getattr(event.internal_metadata, "txn_id", None)
if token_id and txn_id:
# Check if this is a duplicate of an event in the given events.
existing = txn_id_to_event.get((event.room_id, token_id, txn_id))
if existing:
mapping[event.event_id] = existing
continue
# Check if this is a duplicate of an event we've already
# persisted.
existing = await self.get_event_id_from_transaction_id_and_token_id(
event.room_id, event.sender, token_id, txn_id
)
if existing:
mapping[event.event_id] = existing
txn_id_to_event[(event.room_id, token_id, txn_id)] = existing
else:
txn_id_to_event[(event.room_id, token_id, txn_id)] = event.event_id
return mapping
@wrap_as_background_process("_cleanup_old_transaction_ids")
async def _cleanup_old_transaction_ids(self) -> None:
"""Cleans out transaction id mappings older than 24hrs."""
def _cleanup_old_transaction_ids_txn(txn: LoggingTransaction) -> None:
one_day_ago = self._clock.time_msec() - 24 * 60 * 60 * 1000
sql = """
DELETE FROM event_txn_id
WHERE inserted_ts < ?
"""
txn.execute(sql, (one_day_ago,))
sql = """
DELETE FROM event_txn_id_device_id
WHERE inserted_ts < ?
"""
txn.execute(sql, (one_day_ago,))
return await self.db_pool.runInteraction(
"_cleanup_old_transaction_ids",
_cleanup_old_transaction_ids_txn,
)
async def is_event_next_to_backward_gap(self, event: EventBase) -> bool:
"""Check if the given event is next to a backward gap of missing events.
<latest messages> A(False)--->B(False)--->C(True)---> <gap, unknown events> <oldest messages>
Args:
room_id: room where the event lives
event: event to check (can't be an `outlier`)
Returns:
Boolean indicating whether it's an extremity
"""
assert not event.internal_metadata.is_outlier(), (
"is_event_next_to_backward_gap(...) can't be used with `outlier` events. "
"This function relies on `event_backward_extremities` which won't be filled in for `outliers`."
)
def is_event_next_to_backward_gap_txn(txn: LoggingTransaction) -> bool:
# If the event in question has any of its prev_events listed as a
# backward extremity, it's next to a gap.
#
# We can't just check the backward edges in `event_edges` because
# when we persist events, we will also record the prev_events as
# edges to the event in question regardless of whether we have those
# prev_events yet. We need to check whether those prev_events are
# backward extremities, also known as gaps, that need to be
# backfilled.
backward_extremity_query = """
SELECT 1 FROM event_backward_extremities
WHERE
room_id = ?
AND %s
LIMIT 1
"""
# If the event in question is a backward extremity or has any of its
# prev_events listed as a backward extremity, it's next to a
# backward gap.
clause, args = make_in_list_sql_clause(
self.database_engine,
"event_id",
[event.event_id] + list(event.prev_event_ids()),
)
txn.execute(backward_extremity_query % (clause,), [event.room_id] + args)
backward_extremities = txn.fetchall()
# We consider any backward extremity as a backward gap
if len(backward_extremities):
return True
return False
return await self.db_pool.runInteraction(
"is_event_next_to_backward_gap_txn",
is_event_next_to_backward_gap_txn,
)
async def is_event_next_to_forward_gap(self, event: EventBase) -> bool:
"""Check if the given event is next to a forward gap of missing events.
The gap in front of the latest events is not considered a gap.
<latest messages> A(False)--->B(False)--->C(False)---> <gap, unknown events> <oldest messages>
<latest messages> A(False)--->B(False)---> <gap, unknown events> --->D(True)--->E(False) <oldest messages>
Args:
room_id: room where the event lives
event: event to check (can't be an `outlier`)
Returns:
Boolean indicating whether it's an extremity
"""
assert not event.internal_metadata.is_outlier(), (
"is_event_next_to_forward_gap(...) can't be used with `outlier` events. "
"This function relies on `event_edges` and `event_forward_extremities` which won't be filled in for `outliers`."
)
def is_event_next_to_gap_txn(txn: LoggingTransaction) -> bool:
# If the event in question is a forward extremity, we will just
# consider any potential forward gap as not a gap since it's one of
# the latest events in the room.
#
# `event_forward_extremities` does not include backfilled or outlier
# events so we can't rely on it to find forward gaps. We can only
# use it to determine whether a message is the latest in the room.
#
# We can't combine this query with the `forward_edge_query` below
# because if the event in question has no forward edges (isn't
# referenced by any other event's prev_events) but is in
# `event_forward_extremities`, we don't want to return 0 rows and
# say it's next to a gap.
forward_extremity_query = """
SELECT 1 FROM event_forward_extremities
WHERE
room_id = ?
AND event_id = ?
LIMIT 1
"""
# We consider any forward extremity as the latest in the room and
# not a forward gap.
#
# To expand, even though there is technically a gap at the front of
# the room where the forward extremities are, we consider those the
# latest messages in the room so asking other homeservers for more
# is useless. The new latest messages will just be federated as
# usual.
txn.execute(forward_extremity_query, (event.room_id, event.event_id))
if txn.fetchone():
return False
# Check to see whether the event in question is already referenced
# by another event. If we don't see any edges, we're next to a
# forward gap.
forward_edge_query = """
SELECT 1 FROM event_edges
/* Check to make sure the event referencing our event in question is not rejected */
LEFT JOIN rejections ON event_edges.event_id = rejections.event_id
WHERE
event_edges.prev_event_id = ?
/* It's not a valid edge if the event referencing our event in
* question is rejected.
*/
AND rejections.event_id IS NULL
LIMIT 1
"""
# If there are no forward edges to the event in question (another
# event hasn't referenced this event in their prev_events), then we
# assume there is a forward gap in the history.
txn.execute(forward_edge_query, (event.event_id,))
if not txn.fetchone():
return True
return False
return await self.db_pool.runInteraction(
"is_event_next_to_gap_txn",
is_event_next_to_gap_txn,
)
async def get_event_id_for_timestamp(
self, room_id: str, timestamp: int, direction: Direction
) -> Optional[str]:
"""Find the closest event to the given timestamp in the given direction.
Args:
room_id: Room to fetch the event from
timestamp: The point in time (inclusive) we should navigate from in
the given direction to find the closest event.
direction: indicates whether we should navigate forward
or backward from the given timestamp to find the closest event.
Returns:
The closest event_id otherwise None if we can't find any event in
the given direction.
"""
if direction == Direction.BACKWARDS:
# Find closest event *before* a given timestamp. We use descending
# (which gives values largest to smallest) because we want the
# largest possible timestamp *before* the given timestamp.
comparison_operator = "<="
order = "DESC"
else:
# Find closest event *after* a given timestamp. We use ascending
# (which gives values smallest to largest) because we want the
# closest possible timestamp *after* the given timestamp.
comparison_operator = ">="
order = "ASC"
sql_template = f"""
SELECT event_id FROM events
LEFT JOIN rejections USING (event_id)
WHERE
room_id = ?
AND origin_server_ts {comparison_operator} ?
/**
* Make sure the event isn't an `outlier` because we have no way
* to later check whether it's next to a gap. `outliers` do not
* have entries in the `event_edges`, `event_forward_extremeties`,
* and `event_backward_extremities` tables to check against
* (used by `is_event_next_to_backward_gap` and `is_event_next_to_forward_gap`).
*/
AND NOT outlier
/* Make sure event is not rejected */
AND rejections.event_id IS NULL
/**
* First sort by the message timestamp. If the message timestamps are the
* same, we want the message that logically comes "next" (before/after
* the given timestamp) based on the DAG and its topological order (`depth`).
* Finally, we can tie-break based on when it was received on the server
* (`stream_ordering`).
*/
ORDER BY origin_server_ts {order}, depth {order}, stream_ordering {order}
LIMIT 1;
"""
def get_event_id_for_timestamp_txn(txn: LoggingTransaction) -> Optional[str]:
txn.execute(
sql_template,
(room_id, timestamp),
)
row = txn.fetchone()
if row:
(event_id,) = row
return event_id
return None
return await self.db_pool.runInteraction(
"get_event_id_for_timestamp_txn",
get_event_id_for_timestamp_txn,
)
@cachedList(cached_method_name="is_partial_state_event", list_name="event_ids")
async def get_partial_state_events(
self, event_ids: Collection[str]
) -> Dict[str, bool]:
"""Checks which of the given events have partial state
Args:
event_ids: the events we want to check for partial state.
Returns:
a dict mapping from event id to partial-stateness. We return True for
any of the events which are unknown (or are outliers).
"""
result = await self.db_pool.simple_select_many_batch(
table="partial_state_events",
column="event_id",
iterable=event_ids,
retcols=["event_id"],
desc="get_partial_state_events",
)
# convert the result to a dict, to make @cachedList work
partial = {r["event_id"] for r in result}
return {e_id: e_id in partial for e_id in event_ids}
@cached()
async def is_partial_state_event(self, event_id: str) -> bool:
"""Checks if the given event has partial state"""
result = await self.db_pool.simple_select_one_onecol(
table="partial_state_events",
keyvalues={"event_id": event_id},
retcol="1",
allow_none=True,
desc="is_partial_state_event",
)
return result is not None
async def get_partial_state_events_batch(self, room_id: str) -> List[str]:
"""
Get a list of events in the given room that:
- have partial state; and
- are ready to be resynced (because they have no prev_events that are
partial-stated)
See the docstring on `_get_partial_state_events_batch_txn` for more
information.
"""
return await self.db_pool.runInteraction(
"get_partial_state_events_batch",
self._get_partial_state_events_batch_txn,
room_id,
)
@staticmethod
def _get_partial_state_events_batch_txn(
txn: LoggingTransaction, room_id: str
) -> List[str]:
# we want to work through the events from oldest to newest, so
# we only want events whose prev_events do *not* have partial state - hence
# the 'NOT EXISTS' clause in the below.
#
# This is necessary because ordering by stream ordering isn't quite enough
# to ensure that we work from oldest to newest event (in particular,
# if an event is initially persisted as an outlier and later de-outliered,
# it can end up with a lower stream_ordering than its prev_events).
#
# Typically this means we'll only return one event per batch, but that's
# hard to do much about.
#
# See also: https://github.com/matrix-org/synapse/issues/13001
txn.execute(
"""
SELECT event_id FROM partial_state_events AS pse
JOIN events USING (event_id)
WHERE pse.room_id = ? AND
NOT EXISTS(
SELECT 1 FROM event_edges AS ee
JOIN partial_state_events AS prev_pse ON (prev_pse.event_id=ee.prev_event_id)
WHERE ee.event_id=pse.event_id
)
ORDER BY events.stream_ordering
LIMIT 100
""",
(room_id,),
)
return [row[0] for row in txn]
def mark_event_rejected_txn(
self,
txn: LoggingTransaction,
event_id: str,
rejection_reason: Optional[str],
) -> None:
"""Mark an event that was previously accepted as rejected, or vice versa
This can happen, for example, when resyncing state during a faster join.
It is the caller's responsibility to ensure that other workers are
sent a notification so that they call `_invalidate_local_get_event_cache()`.
Args:
txn:
event_id: ID of event to update
rejection_reason: reason it has been rejected, or None if it is now accepted
"""
if rejection_reason is None:
logger.info(
"Marking previously-processed event %s as accepted",
event_id,
)
self.db_pool.simple_delete_txn(
txn,
"rejections",
keyvalues={"event_id": event_id},
)
else:
logger.info(
"Marking previously-processed event %s as rejected(%s)",
event_id,
rejection_reason,
)
self.db_pool.simple_upsert_txn(
txn,
table="rejections",
keyvalues={"event_id": event_id},
values={
"reason": rejection_reason,
"last_check": self._clock.time_msec(),
},
)
self.db_pool.simple_update_txn(
txn,
table="events",
keyvalues={"event_id": event_id},
updatevalues={"rejection_reason": rejection_reason},
)
self.invalidate_get_event_cache_after_txn(txn, event_id)
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