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Revert "Improve DB performance of calculating badge counts for push. (#16756)" (#16979)

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Andrew Morgan 2024-03-05 12:27:27 +00:00 committed by GitHub
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1
changelog.d/16979.misc Normal file
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@ -0,0 +1 @@
Revert https://github.com/element-hq/synapse/pull/16756, which caused incorrect notification counts on mobile clients.

8
synapse/push/push_tools.py
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@ -29,11 +29,17 @@ from synapse.storage.databases.main import DataStore
async def get_badge_count(store: DataStore, user_id: str, group_by_room: bool) -> int:
invites = await store.get_invited_rooms_for_local_user(user_id)
joins = await store.get_rooms_for_user(user_id)
badge = len(invites)
room_to_count = await store.get_unread_counts_by_room_for_user(user_id)
for _room_id, notify_count in room_to_count.items():
for room_id, notify_count in room_to_count.items():
# room_to_count may include rooms which the user has left,
# ignore those.
if room_id not in joins:
continue
if notify_count == 0:
continue

253
synapse/storage/databases/main/event_push_actions.py
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@ -358,6 +358,10 @@ class EventPushActionsWorkerStore(ReceiptsWorkerStore, StreamWorkerStore, SQLBas
This function is intentionally not cached because it is called to calculate the
unread badge for push notifications and thus the result is expected to change.
Note that this function assumes the user is a member of the room. Because
summary rows are not removed when a user leaves a room, the caller must
filter out those results from the result.
Returns:
A map of room ID to notification counts for the given user.
"""
@ -370,170 +374,127 @@ class EventPushActionsWorkerStore(ReceiptsWorkerStore, StreamWorkerStore, SQLBas
def _get_unread_counts_by_room_for_user_txn(
self, txn: LoggingTransaction, user_id: str
) -> Dict[str, int]:
# To get the badge count of all rooms we need to make three queries:
# 1. Fetch all counts from `event_push_summary`, discarding any stale
# rooms.
# 2. Fetch all notifications from `event_push_actions` that haven't
# been rotated yet.
# 3. Fetch all notifications from `event_push_actions` for the stale
# rooms.
#
# The "stale room" scenario generally happens when there is a new read
# receipt that hasn't yet been processed to update the
# `event_push_summary` table. When that happens we ignore the
# `event_push_summary` table for that room and calculate the count
# manually from `event_push_actions`.
# We need to only take into account read receipts of these types.
receipt_types_clause, receipt_types_args = make_in_list_sql_clause(
receipt_types_clause, args = make_in_list_sql_clause(
self.database_engine,
"receipt_type",
(ReceiptTypes.READ, ReceiptTypes.READ_PRIVATE),
)
args.extend([user_id, user_id])
# Step 1, fetch all counts from `event_push_summary` for the user. This
# is slightly convoluted as we also need to pull out the stream ordering
# of the most recent receipt of the user in the room (either a thread
# aware receipt or thread unaware receipt) in order to determine
# whether the row in `event_push_summary` is stale. Hence the outer
# GROUP BY and odd join condition against `receipts_linearized`.
sql = f"""
SELECT room_id, notif_count, stream_ordering, thread_id, last_receipt_stream_ordering,
MAX(receipt_stream_ordering)
FROM (
SELECT e.room_id, notif_count, e.stream_ordering, e.thread_id, last_receipt_stream_ordering,
ev.stream_ordering AS receipt_stream_ordering
FROM event_push_summary AS e
INNER JOIN local_current_membership USING (user_id, room_id)
LEFT JOIN receipts_linearized AS r ON (
e.user_id = r.user_id
AND e.room_id = r.room_id
AND (e.thread_id = r.thread_id OR r.thread_id IS NULL)
AND {receipt_types_clause}
)
LEFT JOIN events AS ev ON (r.event_id = ev.event_id)
WHERE e.user_id = ? and notif_count > 0
) AS es
GROUP BY room_id, notif_count, stream_ordering, thread_id, last_receipt_stream_ordering
receipts_cte = f"""
WITH all_receipts AS (
SELECT room_id, thread_id, MAX(event_stream_ordering) AS max_receipt_stream_ordering
FROM receipts_linearized
LEFT JOIN events USING (room_id, event_id)
WHERE
{receipt_types_clause}
AND user_id = ?
GROUP BY room_id, thread_id
)
"""
txn.execute(
sql,
receipt_types_args
+ [
user_id,
],
)
receipts_joins = """
LEFT JOIN (
SELECT room_id, thread_id,
max_receipt_stream_ordering AS threaded_receipt_stream_ordering
FROM all_receipts
WHERE thread_id IS NOT NULL
) AS threaded_receipts USING (room_id, thread_id)
LEFT JOIN (
SELECT room_id, thread_id,
max_receipt_stream_ordering AS unthreaded_receipt_stream_ordering
FROM all_receipts
WHERE thread_id IS NULL
) AS unthreaded_receipts USING (room_id)
"""
# First get summary counts by room / thread for the user. We use the max receipt
# stream ordering of both threaded & unthreaded receipts to compare against the
# summary table.
#
# PostgreSQL and SQLite differ in comparing scalar numerics.
if isinstance(self.database_engine, PostgresEngine):
# GREATEST ignores NULLs.
max_clause = """GREATEST(
threaded_receipt_stream_ordering,
unthreaded_receipt_stream_ordering
)"""
else:
# MAX returns NULL if any are NULL, so COALESCE to 0 first.
max_clause = """MAX(
COALESCE(threaded_receipt_stream_ordering, 0),
COALESCE(unthreaded_receipt_stream_ordering, 0)
)"""
sql = f"""
{receipts_cte}
SELECT eps.room_id, eps.thread_id, notif_count
FROM event_push_summary AS eps
{receipts_joins}
WHERE user_id = ?
AND notif_count != 0
AND (
(last_receipt_stream_ordering IS NULL AND stream_ordering > {max_clause})
OR last_receipt_stream_ordering = {max_clause}
)
"""
txn.execute(sql, args)
seen_thread_ids = set()
room_to_count: Dict[str, int] = defaultdict(int)
stale_room_ids = set()
for row in txn:
room_id = row[0]
notif_count = row[1]
stream_ordering = row[2]
_thread_id = row[3]
last_receipt_stream_ordering = row[4]
receipt_stream_ordering = row[5]
if last_receipt_stream_ordering is None:
if receipt_stream_ordering is None:
room_to_count[room_id] += notif_count
elif stream_ordering > receipt_stream_ordering:
room_to_count[room_id] += notif_count
else:
# The latest read receipt from the user is after all the rows for
# this room in `event_push_summary`. We ignore them, and
# calculate the count from `event_push_actions` in step 3.
pass
elif last_receipt_stream_ordering == receipt_stream_ordering:
room_to_count[room_id] += notif_count
else:
# The row is stale if `last_receipt_stream_ordering` is set and
# *doesn't* match the latest receipt from the user.
stale_room_ids.add(room_id)
for room_id, thread_id, notif_count in txn:
room_to_count[room_id] += notif_count
seen_thread_ids.add(thread_id)
# Discard any stale rooms from `room_to_count`, as we will recalculate
# them in step 3.
for room_id in stale_room_ids:
room_to_count.pop(room_id, None)
# Now get any event push actions that haven't been rotated using the same OR
# join and filter by receipt and event push summary rotated up to stream ordering.
sql = f"""
{receipts_cte}
SELECT epa.room_id, epa.thread_id, COUNT(CASE WHEN epa.notif = 1 THEN 1 END) AS notif_count
FROM event_push_actions AS epa
{receipts_joins}
WHERE user_id = ?
AND epa.notif = 1
AND stream_ordering > (SELECT stream_ordering FROM event_push_summary_stream_ordering)
AND (threaded_receipt_stream_ordering IS NULL OR stream_ordering > threaded_receipt_stream_ordering)
AND (unthreaded_receipt_stream_ordering IS NULL OR stream_ordering > unthreaded_receipt_stream_ordering)
GROUP BY epa.room_id, epa.thread_id
"""
txn.execute(sql, args)
# Step 2, basically the same query, except against `event_push_actions`
# and only fetching rows inserted since the last rotation.
rotated_upto_stream_ordering = self.db_pool.simple_select_one_onecol_txn(
txn,
table="event_push_summary_stream_ordering",
keyvalues={},
retcol="stream_ordering",
for room_id, thread_id, notif_count in txn:
# Note: only count push actions we have valid summaries for with up to date receipt.
if thread_id not in seen_thread_ids:
continue
room_to_count[room_id] += notif_count
thread_id_clause, thread_ids_args = make_in_list_sql_clause(
self.database_engine, "epa.thread_id", seen_thread_ids
)
# Finally re-check event_push_actions for any rooms not in the summary, ignoring
# the rotated up-to position. This handles the case where a read receipt has arrived
# but not been rotated meaning the summary table is out of date, so we go back to
# the push actions table.
sql = f"""
SELECT room_id, thread_id
FROM (
SELECT e.room_id, e.stream_ordering, e.thread_id,
ev.stream_ordering AS receipt_stream_ordering
FROM event_push_actions AS e
INNER JOIN local_current_membership USING (user_id, room_id)
LEFT JOIN receipts_linearized AS r ON (
e.user_id = r.user_id
AND e.room_id = r.room_id
AND (e.thread_id = r.thread_id OR r.thread_id IS NULL)
AND {receipt_types_clause}
)
LEFT JOIN events AS ev ON (r.event_id = ev.event_id)
WHERE e.user_id = ? and notif > 0
AND e.stream_ordering > ?
) AS es
GROUP BY room_id, stream_ordering, thread_id
HAVING stream_ordering > COALESCE(MAX(receipt_stream_ordering), 0)
{receipts_cte}
SELECT epa.room_id, COUNT(CASE WHEN epa.notif = 1 THEN 1 END) AS notif_count
FROM event_push_actions AS epa
{receipts_joins}
WHERE user_id = ?
AND NOT {thread_id_clause}
AND epa.notif = 1
AND (threaded_receipt_stream_ordering IS NULL OR stream_ordering > threaded_receipt_stream_ordering)
AND (unthreaded_receipt_stream_ordering IS NULL OR stream_ordering > unthreaded_receipt_stream_ordering)
GROUP BY epa.room_id
"""
txn.execute(
sql,
receipt_types_args + [user_id, rotated_upto_stream_ordering],
)
for room_id, _thread_id in txn:
# Again, we ignore any stale rooms.
if room_id not in stale_room_ids:
# For event push actions it is one notification per row.
room_to_count[room_id] += 1
args.extend(thread_ids_args)
txn.execute(sql, args)
# Step 3, if we have stale rooms then we need to recalculate the counts
# from `event_push_actions`. Again, this is basically the same query as
# above except without a lower bound on stream ordering and only against
# a specific set of rooms.
if stale_room_ids:
room_id_clause, room_id_args = make_in_list_sql_clause(
self.database_engine,
"e.room_id",
stale_room_ids,
)
sql = f"""
SELECT room_id, thread_id
FROM (
SELECT e.room_id, e.stream_ordering, e.thread_id,
ev.stream_ordering AS receipt_stream_ordering
FROM event_push_actions AS e
INNER JOIN local_current_membership USING (user_id, room_id)
LEFT JOIN receipts_linearized AS r ON (
e.user_id = r.user_id
AND e.room_id = r.room_id
AND (e.thread_id = r.thread_id OR r.thread_id IS NULL)
AND {receipt_types_clause}
)
LEFT JOIN events AS ev ON (r.event_id = ev.event_id)
WHERE e.user_id = ? and notif > 0
AND {room_id_clause}
) AS es
GROUP BY room_id, stream_ordering, thread_id
HAVING stream_ordering > COALESCE(MAX(receipt_stream_ordering), 0)
"""
txn.execute(
sql,
receipt_types_args + [user_id] + room_id_args,
)
for room_id, _ in txn:
room_to_count[room_id] += 1
for room_id, notif_count in txn:
room_to_count[room_id] += notif_count
return room_to_count