Yield during large v2 state res. (#7735)

State res v2 across large data sets can be very CPU intensive, and if
all the relevant events are in the cache the algorithm will run from
start to finish within a single reactor tick. This can result in
blocking the reactor tick for several seconds, which can have major
repercussions on other requests.

To fix this we simply add the occaisonal `sleep(0)` during iterations to
yield execution until the next reactor tick. The aim is to only do this
for large data sets so that we don't impact otherwise quick resolutions.=

synapse/state/v2.py

@@ -27,12 +27,20 @@ from synapse.api.errors import AuthError
 from synapse.api.room_versions import KNOWN_ROOM_VERSIONS
 from synapse.events import EventBase
 from synapse.types import StateMap
+from synapse.util import Clock
 
 logger = logging.getLogger(__name__)
 
 
+# We want to yield to the reactor occasionally during state res when dealing
+# with large data sets, so that we don't exhaust the reactor. This is done by
+# yielding to reactor during loops every N iterations.
+_YIELD_AFTER_ITERATIONS = 100
+
+
 @defer.inlineCallbacks
 def resolve_events_with_store(
+    clock: Clock,
     room_id: str,
     room_version: str,
     state_sets: List[StateMap[str]],
@@ -42,13 +50,11 @@ def resolve_events_with_store(
     """Resolves the state using the v2 state resolution algorithm
 
     Args:
+        clock
         room_id: the room we are working in
-
         room_version: The room version
-
         state_sets: List of dicts of (type, state_key) -> event_id,
             which are the different state groups to resolve.
-
         event_map:
             a dict from event_id to event, for any events that we happen to
             have in flight (eg, those currently being persisted). This will be
@@ -113,7 +119,7 @@ def resolve_events_with_store(
     )
 
     sorted_power_events = yield _reverse_topological_power_sort(
-        room_id, power_events, event_map, state_res_store, full_conflicted_set
+        clock, room_id, power_events, event_map, state_res_store, full_conflicted_set
     )
 
     logger.debug("sorted %d power events", len(sorted_power_events))
@@ -142,7 +148,7 @@ def resolve_events_with_store(
 
     pl = resolved_state.get((EventTypes.PowerLevels, ""), None)
     leftover_events = yield _mainline_sort(
-        room_id, leftover_events, pl, event_map, state_res_store
+        clock, room_id, leftover_events, pl, event_map, state_res_store
     )
 
     logger.debug("resolving remaining events")
@@ -317,12 +323,13 @@ def _add_event_and_auth_chain_to_graph(
 
 @defer.inlineCallbacks
 def _reverse_topological_power_sort(
-    room_id, event_ids, event_map, state_res_store, auth_diff
+    clock, room_id, event_ids, event_map, state_res_store, auth_diff
 ):
     """Returns a list of the event_ids sorted by reverse topological ordering,
     and then by power level and origin_server_ts
 
     Args:
+        clock (Clock)
         room_id (str): the room we are working in
         event_ids (list[str]): The events to sort
         event_map (dict[str,FrozenEvent])
@@ -334,18 +341,28 @@ def _reverse_topological_power_sort(
     """
 
     graph = {}
-    for event_id in event_ids:
+    for idx, event_id in enumerate(event_ids, start=1):
         yield _add_event_and_auth_chain_to_graph(
             graph, room_id, event_id, event_map, state_res_store, auth_diff
         )
 
+        # We yield occasionally when we're working with large data sets to
+        # ensure that we don't block the reactor loop for too long.
+        if idx % _YIELD_AFTER_ITERATIONS == 0:
+            yield clock.sleep(0)
+
     event_to_pl = {}
-    for event_id in graph:
+    for idx, event_id in enumerate(graph, start=1):
         pl = yield _get_power_level_for_sender(
             room_id, event_id, event_map, state_res_store
         )
         event_to_pl[event_id] = pl
 
+        # We yield occasionally when we're working with large data sets to
+        # ensure that we don't block the reactor loop for too long.
+        if idx % _YIELD_AFTER_ITERATIONS == 0:
+            yield clock.sleep(0)
+
     def _get_power_order(event_id):
         ev = event_map[event_id]
         pl = event_to_pl[event_id]
@@ -423,12 +440,13 @@ def _iterative_auth_checks(
 
 @defer.inlineCallbacks
 def _mainline_sort(
-    room_id, event_ids, resolved_power_event_id, event_map, state_res_store
+    clock, room_id, event_ids, resolved_power_event_id, event_map, state_res_store
 ):
     """Returns a sorted list of event_ids sorted by mainline ordering based on
     the given event resolved_power_event_id
 
     Args:
+        clock (Clock)
         room_id (str): room we're working in
         event_ids (list[str]): Events to sort
         resolved_power_event_id (str): The final resolved power level event ID
@@ -438,8 +456,14 @@ def _mainline_sort(
     Returns:
         Deferred[list[str]]: The sorted list
     """
+    if not event_ids:
+        # It's possible for there to be no event IDs here to sort, so we can
+        # skip calculating the mainline in that case.
+        return []
+
     mainline = []
     pl = resolved_power_event_id
+    idx = 0
     while pl:
         mainline.append(pl)
         pl_ev = yield _get_event(room_id, pl, event_map, state_res_store)
@@ -453,17 +477,29 @@ def _mainline_sort(
                 pl = aid
                 break
 
+        # We yield occasionally when we're working with large data sets to
+        # ensure that we don't block the reactor loop for too long.
+        if idx != 0 and idx % _YIELD_AFTER_ITERATIONS == 0:
+            yield clock.sleep(0)
+
+        idx += 1
+
     mainline_map = {ev_id: i + 1 for i, ev_id in enumerate(reversed(mainline))}
 
     event_ids = list(event_ids)
 
     order_map = {}
-    for ev_id in event_ids:
+    for idx, ev_id in enumerate(event_ids, start=1):
         depth = yield _get_mainline_depth_for_event(
             event_map[ev_id], mainline_map, event_map, state_res_store
         )
         order_map[ev_id] = (depth, event_map[ev_id].origin_server_ts, ev_id)
 
+        # We yield occasionally when we're working with large data sets to
+        # ensure that we don't block the reactor loop for too long.
+        if idx % _YIELD_AFTER_ITERATIONS == 0:
+            yield clock.sleep(0)
+
     event_ids.sort(key=lambda ev_id: order_map[ev_id])
 
     return event_ids