Avoid sending massive replication updates when purging a room. (#16510)
parent
bcff01b406
commit
49c9745b45
|
@ -0,0 +1 @@
|
||||||
|
Improve replication performance when purging rooms.
|
|
@ -13,6 +13,7 @@
|
||||||
# See the License for the specific language governing permissions and
|
# See the License for the specific language governing permissions and
|
||||||
# limitations under the License.
|
# limitations under the License.
|
||||||
import heapq
|
import heapq
|
||||||
|
from collections import defaultdict
|
||||||
from typing import TYPE_CHECKING, Iterable, Optional, Tuple, Type, TypeVar, cast
|
from typing import TYPE_CHECKING, Iterable, Optional, Tuple, Type, TypeVar, cast
|
||||||
|
|
||||||
import attr
|
import attr
|
||||||
|
@ -51,8 +52,19 @@ data part are:
|
||||||
* The state_key of the state which has changed
|
* The state_key of the state which has changed
|
||||||
* The event id of the new state
|
* The event id of the new state
|
||||||
|
|
||||||
|
A "state-all" row is sent whenever the "current state" in a room changes, but there are
|
||||||
|
too many state updates for a particular room in the same update. This replaces any
|
||||||
|
"state" rows on a per-room basis. The fields in the data part are:
|
||||||
|
|
||||||
|
* The room id for the state changes
|
||||||
|
|
||||||
"""
|
"""
|
||||||
|
|
||||||
|
# Any room with more than _MAX_STATE_UPDATES_PER_ROOM will send a EventsStreamAllStateRow
|
||||||
|
# instead of individual EventsStreamEventRow. This is predominantly useful when
|
||||||
|
# purging large rooms.
|
||||||
|
_MAX_STATE_UPDATES_PER_ROOM = 150
|
||||||
|
|
||||||
|
|
||||||
@attr.s(slots=True, frozen=True, auto_attribs=True)
|
@attr.s(slots=True, frozen=True, auto_attribs=True)
|
||||||
class EventsStreamRow:
|
class EventsStreamRow:
|
||||||
|
@ -111,9 +123,17 @@ class EventsStreamCurrentStateRow(BaseEventsStreamRow):
|
||||||
event_id: Optional[str]
|
event_id: Optional[str]
|
||||||
|
|
||||||
|
|
||||||
|
@attr.s(slots=True, frozen=True, auto_attribs=True)
|
||||||
|
class EventsStreamAllStateRow(BaseEventsStreamRow):
|
||||||
|
TypeId = "state-all"
|
||||||
|
|
||||||
|
room_id: str
|
||||||
|
|
||||||
|
|
||||||
_EventRows: Tuple[Type[BaseEventsStreamRow], ...] = (
|
_EventRows: Tuple[Type[BaseEventsStreamRow], ...] = (
|
||||||
EventsStreamEventRow,
|
EventsStreamEventRow,
|
||||||
EventsStreamCurrentStateRow,
|
EventsStreamCurrentStateRow,
|
||||||
|
EventsStreamAllStateRow,
|
||||||
)
|
)
|
||||||
|
|
||||||
TypeToRow = {Row.TypeId: Row for Row in _EventRows}
|
TypeToRow = {Row.TypeId: Row for Row in _EventRows}
|
||||||
|
@ -213,9 +233,28 @@ class EventsStream(Stream):
|
||||||
if stream_id <= upper_limit
|
if stream_id <= upper_limit
|
||||||
)
|
)
|
||||||
|
|
||||||
|
# Separate out rooms that have many state updates, listeners should clear
|
||||||
|
# all state for those rooms.
|
||||||
|
state_updates_by_room = defaultdict(list)
|
||||||
|
for stream_id, room_id, _type, _state_key, _event_id in state_rows:
|
||||||
|
state_updates_by_room[room_id].append(stream_id)
|
||||||
|
|
||||||
|
state_all_rows = [
|
||||||
|
(stream_ids[-1], room_id)
|
||||||
|
for room_id, stream_ids in state_updates_by_room.items()
|
||||||
|
if len(stream_ids) >= _MAX_STATE_UPDATES_PER_ROOM
|
||||||
|
]
|
||||||
|
state_all_updates: Iterable[Tuple[int, Tuple]] = (
|
||||||
|
(max_stream_id, (EventsStreamAllStateRow.TypeId, (room_id,)))
|
||||||
|
for (max_stream_id, room_id) in state_all_rows
|
||||||
|
)
|
||||||
|
|
||||||
|
# Any remaining state updates are sent individually.
|
||||||
|
state_all_rooms = {room_id for _, room_id in state_all_rows}
|
||||||
state_updates: Iterable[Tuple[int, Tuple]] = (
|
state_updates: Iterable[Tuple[int, Tuple]] = (
|
||||||
(stream_id, (EventsStreamCurrentStateRow.TypeId, rest))
|
(stream_id, (EventsStreamCurrentStateRow.TypeId, rest))
|
||||||
for (stream_id, *rest) in state_rows
|
for (stream_id, *rest) in state_rows
|
||||||
|
if rest[0] not in state_all_rooms
|
||||||
)
|
)
|
||||||
|
|
||||||
ex_outliers_updates: Iterable[Tuple[int, Tuple]] = (
|
ex_outliers_updates: Iterable[Tuple[int, Tuple]] = (
|
||||||
|
@ -224,7 +263,11 @@ class EventsStream(Stream):
|
||||||
)
|
)
|
||||||
|
|
||||||
# we need to return a sorted list, so merge them together.
|
# we need to return a sorted list, so merge them together.
|
||||||
updates = list(heapq.merge(event_updates, state_updates, ex_outliers_updates))
|
updates = list(
|
||||||
|
heapq.merge(
|
||||||
|
event_updates, state_all_updates, state_updates, ex_outliers_updates
|
||||||
|
)
|
||||||
|
)
|
||||||
return updates, upper_limit, limited
|
return updates, upper_limit, limited
|
||||||
|
|
||||||
@classmethod
|
@classmethod
|
||||||
|
|
|
@ -23,6 +23,7 @@ from synapse.metrics.background_process_metrics import wrap_as_background_proces
|
||||||
from synapse.replication.tcp.streams import BackfillStream, CachesStream
|
from synapse.replication.tcp.streams import BackfillStream, CachesStream
|
||||||
from synapse.replication.tcp.streams.events import (
|
from synapse.replication.tcp.streams.events import (
|
||||||
EventsStream,
|
EventsStream,
|
||||||
|
EventsStreamAllStateRow,
|
||||||
EventsStreamCurrentStateRow,
|
EventsStreamCurrentStateRow,
|
||||||
EventsStreamEventRow,
|
EventsStreamEventRow,
|
||||||
EventsStreamRow,
|
EventsStreamRow,
|
||||||
|
@ -264,6 +265,13 @@ class CacheInvalidationWorkerStore(SQLBaseStore):
|
||||||
(data.state_key,)
|
(data.state_key,)
|
||||||
)
|
)
|
||||||
self.get_rooms_for_user.invalidate((data.state_key,)) # type: ignore[attr-defined]
|
self.get_rooms_for_user.invalidate((data.state_key,)) # type: ignore[attr-defined]
|
||||||
|
elif row.type == EventsStreamAllStateRow.TypeId:
|
||||||
|
assert isinstance(data, EventsStreamAllStateRow)
|
||||||
|
# Similar to the above, but the entire caches are invalidated. This is
|
||||||
|
# unfortunate for the membership caches, but should recover quickly.
|
||||||
|
self._curr_state_delta_stream_cache.entity_has_changed(data.room_id, token) # type: ignore[attr-defined]
|
||||||
|
self.get_rooms_for_user_with_stream_ordering.invalidate_all() # type: ignore[attr-defined]
|
||||||
|
self.get_rooms_for_user.invalidate_all() # type: ignore[attr-defined]
|
||||||
else:
|
else:
|
||||||
raise Exception("Unknown events stream row type %s" % (row.type,))
|
raise Exception("Unknown events stream row type %s" % (row.type,))
|
||||||
|
|
||||||
|
|
|
@ -14,6 +14,8 @@
|
||||||
|
|
||||||
from typing import Any, List, Optional
|
from typing import Any, List, Optional
|
||||||
|
|
||||||
|
from parameterized import parameterized
|
||||||
|
|
||||||
from twisted.test.proto_helpers import MemoryReactor
|
from twisted.test.proto_helpers import MemoryReactor
|
||||||
|
|
||||||
from synapse.api.constants import EventTypes, Membership
|
from synapse.api.constants import EventTypes, Membership
|
||||||
|
@ -21,6 +23,8 @@ from synapse.events import EventBase
|
||||||
from synapse.replication.tcp.commands import RdataCommand
|
from synapse.replication.tcp.commands import RdataCommand
|
||||||
from synapse.replication.tcp.streams._base import _STREAM_UPDATE_TARGET_ROW_COUNT
|
from synapse.replication.tcp.streams._base import _STREAM_UPDATE_TARGET_ROW_COUNT
|
||||||
from synapse.replication.tcp.streams.events import (
|
from synapse.replication.tcp.streams.events import (
|
||||||
|
_MAX_STATE_UPDATES_PER_ROOM,
|
||||||
|
EventsStreamAllStateRow,
|
||||||
EventsStreamCurrentStateRow,
|
EventsStreamCurrentStateRow,
|
||||||
EventsStreamEventRow,
|
EventsStreamEventRow,
|
||||||
EventsStreamRow,
|
EventsStreamRow,
|
||||||
|
@ -106,11 +110,21 @@ class EventsStreamTestCase(BaseStreamTestCase):
|
||||||
|
|
||||||
self.assertEqual([], received_rows)
|
self.assertEqual([], received_rows)
|
||||||
|
|
||||||
def test_update_function_huge_state_change(self) -> None:
|
@parameterized.expand(
|
||||||
|
[(_STREAM_UPDATE_TARGET_ROW_COUNT, False), (_MAX_STATE_UPDATES_PER_ROOM, True)]
|
||||||
|
)
|
||||||
|
def test_update_function_huge_state_change(
|
||||||
|
self, num_state_changes: int, collapse_state_changes: bool
|
||||||
|
) -> None:
|
||||||
"""Test replication with many state events
|
"""Test replication with many state events
|
||||||
|
|
||||||
Ensures that all events are correctly replicated when there are lots of
|
Ensures that all events are correctly replicated when there are lots of
|
||||||
state change rows to be replicated.
|
state change rows to be replicated.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
num_state_changes: The number of state changes to create.
|
||||||
|
collapse_state_changes: Whether the state changes are expected to be
|
||||||
|
collapsed or not.
|
||||||
"""
|
"""
|
||||||
|
|
||||||
# we want to generate lots of state changes at a single stream ID.
|
# we want to generate lots of state changes at a single stream ID.
|
||||||
|
@ -145,7 +159,7 @@ class EventsStreamTestCase(BaseStreamTestCase):
|
||||||
|
|
||||||
events = [
|
events = [
|
||||||
self._inject_state_event(sender=OTHER_USER)
|
self._inject_state_event(sender=OTHER_USER)
|
||||||
for _ in range(_STREAM_UPDATE_TARGET_ROW_COUNT)
|
for _ in range(num_state_changes)
|
||||||
]
|
]
|
||||||
|
|
||||||
self.replicate()
|
self.replicate()
|
||||||
|
@ -202,8 +216,7 @@ class EventsStreamTestCase(BaseStreamTestCase):
|
||||||
row for row in self.test_handler.received_rdata_rows if row[0] == "events"
|
row for row in self.test_handler.received_rdata_rows if row[0] == "events"
|
||||||
]
|
]
|
||||||
|
|
||||||
# first check the first two rows, which should be state1
|
# first check the first two rows, which should be the state1 event.
|
||||||
|
|
||||||
stream_name, token, row = received_rows.pop(0)
|
stream_name, token, row = received_rows.pop(0)
|
||||||
self.assertEqual("events", stream_name)
|
self.assertEqual("events", stream_name)
|
||||||
self.assertIsInstance(row, EventsStreamRow)
|
self.assertIsInstance(row, EventsStreamRow)
|
||||||
|
@ -217,7 +230,7 @@ class EventsStreamTestCase(BaseStreamTestCase):
|
||||||
self.assertIsInstance(row.data, EventsStreamCurrentStateRow)
|
self.assertIsInstance(row.data, EventsStreamCurrentStateRow)
|
||||||
self.assertEqual(row.data.event_id, state1.event_id)
|
self.assertEqual(row.data.event_id, state1.event_id)
|
||||||
|
|
||||||
# now the last two rows, which should be state2
|
# now the last two rows, which should be the state2 event.
|
||||||
stream_name, token, row = received_rows.pop(-2)
|
stream_name, token, row = received_rows.pop(-2)
|
||||||
self.assertEqual("events", stream_name)
|
self.assertEqual("events", stream_name)
|
||||||
self.assertIsInstance(row, EventsStreamRow)
|
self.assertIsInstance(row, EventsStreamRow)
|
||||||
|
@ -231,6 +244,26 @@ class EventsStreamTestCase(BaseStreamTestCase):
|
||||||
self.assertIsInstance(row.data, EventsStreamCurrentStateRow)
|
self.assertIsInstance(row.data, EventsStreamCurrentStateRow)
|
||||||
self.assertEqual(row.data.event_id, state2.event_id)
|
self.assertEqual(row.data.event_id, state2.event_id)
|
||||||
|
|
||||||
|
# Based on the number of
|
||||||
|
if collapse_state_changes:
|
||||||
|
# that should leave us with the rows for the PL event, the state changes
|
||||||
|
# get collapsed into a single row.
|
||||||
|
self.assertEqual(len(received_rows), 2)
|
||||||
|
|
||||||
|
stream_name, token, row = received_rows.pop(0)
|
||||||
|
self.assertEqual("events", stream_name)
|
||||||
|
self.assertIsInstance(row, EventsStreamRow)
|
||||||
|
self.assertEqual(row.type, "ev")
|
||||||
|
self.assertIsInstance(row.data, EventsStreamEventRow)
|
||||||
|
self.assertEqual(row.data.event_id, pl_event.event_id)
|
||||||
|
|
||||||
|
stream_name, token, row = received_rows.pop(0)
|
||||||
|
self.assertIsInstance(row, EventsStreamRow)
|
||||||
|
self.assertEqual(row.type, "state-all")
|
||||||
|
self.assertIsInstance(row.data, EventsStreamAllStateRow)
|
||||||
|
self.assertEqual(row.data.room_id, state2.room_id)
|
||||||
|
|
||||||
|
else:
|
||||||
# that should leave us with the rows for the PL event
|
# that should leave us with the rows for the PL event
|
||||||
self.assertEqual(len(received_rows), len(events) + 2)
|
self.assertEqual(len(received_rows), len(events) + 2)
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue