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First step of making user_rooms_intersect() faster - implement in intersection logic in Python code terms of a DB query that is cacheable per user
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1 changed files with 19 additions and 17 deletions
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@ -240,28 +240,30 @@ class RoomMemberStore(SQLBaseStore):
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results = self._parse_events_txn(txn, rows)
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results = self._parse_events_txn(txn, rows)
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return results
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return results
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@defer.inlineCallbacks
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def user_rooms_intersect(self, user_id_list):
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def user_rooms_intersect(self, user_id_list):
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""" Checks whether all the users whose IDs are given in a list share a
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""" Checks whether all the users whose IDs are given in a list share a
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room.
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room.
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This is a "hot path" function that's called a lot, e.g. by presence for
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generating the event stream.
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"""
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"""
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def interaction(txn):
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if len(user_id_list) < 2:
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user_list_clause = " OR ".join(["m.user_id = ?"] * len(user_id_list))
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defer.returnValue(True)
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sql = (
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"SELECT m.room_id FROM room_memberships as m "
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"INNER JOIN current_state_events as c "
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"ON m.event_id = c.event_id "
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"WHERE m.membership = 'join' "
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"AND (%(clause)s) "
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# TODO(paul): We've got duplicate rows in the database somewhere
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# so we have to DISTINCT m.user_id here
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"GROUP BY m.room_id HAVING COUNT(DISTINCT m.user_id) = ?"
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) % {"clause": user_list_clause}
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args = list(user_id_list)
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deferreds = [
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args.append(len(user_id_list))
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self.get_rooms_for_user_where_membership_is(
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u, membership_list=[Membership.JOIN],
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)
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for u in user_id_list
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]
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txn.execute(sql, args)
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results = yield defer.DeferredList(deferreds)
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return len(txn.fetchall()) > 0
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# A list of sets of strings giving room IDs for each user
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room_id_lists = [set([r.room_id for r in result[1]]) for result in results]
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return self.runInteraction("user_rooms_intersect", interaction)
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# There isn't a setintersection(*list_of_sets)
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ret = len(room_id_lists.pop(0).intersection(*room_id_lists)) > 0
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defer.returnValue(ret)
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