Snoop on replication to learn about joins on other workers

synapse/replication/tcp/client.py

@@ -21,7 +21,7 @@ from twisted.internet.interfaces import IAddress, IConnector
 from twisted.internet.protocol import ReconnectingClientFactory
 from twisted.python.failure import Failure
 
-from synapse.api.constants import EventTypes, ReceiptTypes
+from synapse.api.constants import EventTypes, Membership, ReceiptTypes
 from synapse.federation import send_queue
 from synapse.federation.sender import FederationSender
 from synapse.logging.context import PreserveLoggingContext, make_deferred_yieldable
@@ -219,6 +219,21 @@ class ReplicationDataHandler:
                     membership=row.data.membership,
                 )
 
+                # If this event is a join, make a note of it so we have an accurate
+                # cross-worker room rate limit.
+                # TODO: Erik said we should exclude rows that came from ex_outliers
+                #  here, but I don't see how we can determine that. I guess we could
+                #  add a flag to row.data?
+                if (
+                    row.data.type == EventTypes.Member
+                    and row.data.membership == Membership.JOIN
+                    and not row.data.outlier
+                ):
+                    # TODO retrieve the previous state, and exclude join -> join transitions
+                    self.notifier.notify_user_joined_room(
+                        row.data.event_id, row.data.room_id
+                    )
+
         await self._presence_handler.process_replication_rows(
             stream_name, instance_name, token, rows
         )