Skip to content
This repository has been archived by the owner on Apr 26, 2024. It is now read-only.

bg update to clear out duplicate outbound_device_list_pokes #7193

Merged
merged 5 commits into from
Apr 7, 2020
Merged
Show file tree
Hide file tree
Changes from 2 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions changelog.d/7193.misc
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
Add a background database update job to clear out duplicate `device_lists_outbound_pokes`.
16 changes: 5 additions & 11 deletions synapse/storage/data_stores/main/client_ips.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@

from synapse.metrics.background_process_metrics import wrap_as_background_process
from synapse.storage._base import SQLBaseStore
from synapse.storage.database import Database
from synapse.storage.database import Database, make_tuple_comparison_clause
from synapse.util.caches import CACHE_SIZE_FACTOR
from synapse.util.caches.descriptors import Cache

Expand Down Expand Up @@ -303,16 +303,10 @@ def _devices_last_seen_update_txn(txn):
# we'll just end up updating the same device row multiple
# times, which is fine.

if self.database_engine.supports_tuple_comparison:
where_clause = "(user_id, device_id) > (?, ?)"
where_args = [last_user_id, last_device_id]
else:
# We explicitly do a `user_id >= ? AND (...)` here to ensure
# that an index is used, as doing `user_id > ? OR (user_id = ? AND ...)`
# makes it hard for query optimiser to tell that it can use the
# index on user_id
where_clause = "user_id >= ? AND (user_id > ? OR device_id > ?)"
where_args = [last_user_id, last_user_id, last_device_id]
where_clause, where_args = make_tuple_comparison_clause(
self.database_engine,
[("user_id", last_user_id), ("device_id", last_device_id)],
)

sql = """
SELECT
Expand Down
73 changes: 72 additions & 1 deletion synapse/storage/data_stores/main/devices.py
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,11 @@
)
from synapse.metrics.background_process_metrics import run_as_background_process
from synapse.storage._base import SQLBaseStore, db_to_json, make_in_list_sql_clause
from synapse.storage.database import Database, LoggingTransaction
from synapse.storage.database import (
Database,
LoggingTransaction,
make_tuple_comparison_clause,
)
from synapse.types import Collection, get_verify_key_from_cross_signing_key
from synapse.util.caches.descriptors import (
Cache,
Expand All @@ -49,6 +53,8 @@
"drop_device_list_streams_non_unique_indexes"
)

BG_UPDATE_REMOVE_DUP_OUTBOUND_POKES = "remove_dup_outbound_pokes"


class DeviceWorkerStore(SQLBaseStore):
def get_device(self, user_id, device_id):
Expand Down Expand Up @@ -714,6 +720,11 @@ def __init__(self, database: Database, db_conn, hs):
self._drop_device_list_streams_non_unique_indexes,
)

# clear out duplicate device list outbound pokes
self.db.updates.register_background_update_handler(
BG_UPDATE_REMOVE_DUP_OUTBOUND_POKES, self._remove_duplicate_outbound_pokes,
)

@defer.inlineCallbacks
def _drop_device_list_streams_non_unique_indexes(self, progress, batch_size):
def f(conn):
Expand All @@ -728,6 +739,66 @@ def f(conn):
)
return 1

async def _remove_duplicate_outbound_pokes(self, progress, batch_size):
# for some reason, we have accumulated duplicate entries in
# device_lists_outbound_pokes, which makes prune_outbound_device_list_pokes less
# efficient.
#
# For each duplicate, we delete all the existing rows and put one back.

KEY_COLS = ["stream_id", "destination", "user_id", "device_id"]
last_row = progress.get(
"last_row",
{"stream_id": 0, "destination": "", "user_id": "", "device_id": "",},
)

def _txn(txn):
clause, args = make_tuple_comparison_clause(
self.db.engine, [(x, last_row[x]) for x in KEY_COLS]
)
sql = """
SELECT stream_id, destination, user_id, device_id, MAX(ts) AS ts
FROM device_lists_outbound_pokes
WHERE %s
GROUP BY %s
HAVING count(*) > 1
ORDER BY %s
LIMIT ?
""" % (
clause, # WHERE
",".join(KEY_COLS), # GROUP BY
",".join(KEY_COLS), # ORDER BY
)
txn.execute(sql, args + [batch_size])
rows = self.db.cursor_to_dict(txn)

row = None
for row in rows:
self.db.simple_delete_txn(
txn, "device_lists_outbound_pokes", {x: row[x] for x in KEY_COLS},
)

row["sent"] = False
self.db.simple_insert_txn(
txn, "device_lists_outbound_pokes", row,
)

if row:
self.db.updates._background_update_progress_txn(
txn, BG_UPDATE_REMOVE_DUP_OUTBOUND_POKES, {"last_row": row},
)

return len(rows)

rows = await self.db.runInteraction(BG_UPDATE_REMOVE_DUP_OUTBOUND_POKES, _txn)

if not rows:
await self.db.updates._end_background_update(
BG_UPDATE_REMOVE_DUP_OUTBOUND_POKES
)

return rows


class DeviceStore(DeviceWorkerStore, DeviceBackgroundUpdateStore):
def __init__(self, database: Database, db_conn, hs):
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
/* Copyright 2020 The Matrix.org Foundation C.I.C
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/* for some reason, we have accumulated duplicate entries in
* device_lists_outbound_pokes, which makes prune_outbound_device_list_pokes less
* efficient.
*/

INSERT INTO background_updates (ordering, update_name, progress_json)
VALUES (5800, "remove_dup_outbound_pokes", "{}");
83 changes: 82 additions & 1 deletion synapse/storage/database.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,17 @@
import logging
import time
from time import monotonic as monotonic_time
from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple
from typing import (
Any,
Callable,
Dict,
Iterable,
Iterator,
List,
Optional,
Tuple,
TypeVar,
)

from six import iteritems, iterkeys, itervalues
from six.moves import intern, range
Expand Down Expand Up @@ -1557,3 +1567,74 @@ def make_in_list_sql_clause(
return "%s = ANY(?)" % (column,), [list(iterable)]
else:
return "%s IN (%s)" % (column, ",".join("?" for _ in iterable)), list(iterable)


KV = TypeVar("KV")


def make_tuple_comparison_clause(
database_engine: BaseDatabaseEngine, keys: List[Tuple[str, KV]]
) -> Tuple[str, List[KV]]:
"""Returns a tuple comparison SQL clause

Depending what the SQL engine supports, builds a SQL clause that looks like either
"(a, b) > (?, ?)", or "(a > ?) OR (a == ? AND b > ?)".

Args:
database_engine
keys: A set of (column, value) pairs to be compared.

Returns:
A tuple of SQL query and the args
"""
if database_engine.supports_tuple_comparison:
return (
"(%s) > (%s)" % (",".join(k[0] for k in keys), ",".join("?" for _ in keys)),
[k[1] for k in keys],
)

# we want to build a clause
# (a > ?) OR
# (a == ? AND b > ?) OR
# (a == ? AND b == ? AND c > ?)
# ...
# (a == ? AND b == ? AND ... AND z > ?)
#
# or, equivalently:
#
# (a > ? OR (a == ? AND
# (b > ? OR (b == ? AND
# ...
# (y > ? OR (y == ? AND
# z > ?
# ))
# ...
# ))
# ))
#
# which itself is equivalent to (and apparently easier for the query optimiser):
#
# (a >= ? AND (a > ? OR
# (b >= ? AND (b > ? OR
# ...
# (y >= ? AND (y > ? OR
# z > ?
# ))
# ...
# ))
# ))
#
#

clause = ""
args = [] # type: List[KV]
for k, v in keys[:-1]:
clause = clause + "(%s >= ? AND (%s > ? OR " % (k, k)
args.extend([v, v])

(k, v) = keys[-1]
clause += "%s > ?" % (k,)
args.append(v)

clause += "))" * (len(keys) - 1)
return clause, args
50 changes: 50 additions & 0 deletions tests/storage/test_database.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,50 @@
# -*- coding: utf-8 -*-
# Copyright 2020 The Matrix.org Foundation C.I.C.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from synapse.storage.database import make_tuple_comparison_clause
from synapse.storage.engines import BaseDatabaseEngine

from tests import unittest


def _stub_db_engine(**kwargs) -> BaseDatabaseEngine:
# returns a DatabaseEngine, circumventing the abc mechanism
# any kwargs are set as attributes on the class before instantiating it
t = type(
"TestBaseDatabaseEngine", (BaseDatabaseEngine,), BaseDatabaseEngine.__dict__,
)
# defeat the abc mechanism
t.__abstractmethods__ = set()
for k, v in kwargs.items():
setattr(t, k, v)
return t(None, None)


class TupleComparisonClauseTestCase(unittest.TestCase):
def test_native_tuple_comparison(self):
db_engine = _stub_db_engine(supports_tuple_comparison=True)
clause, args = make_tuple_comparison_clause(db_engine, [("a", 1), ("b", 2)])
self.assertEqual(clause, "(a,b) > (?,?)")
self.assertEqual(args, [1, 2])

def test_emulated_tuple_comparison(self):
db_engine = _stub_db_engine(supports_tuple_comparison=False)
clause, args = make_tuple_comparison_clause(
db_engine, [("a", 1), ("b", 2), ("c", 3)]
)
self.assertEqual(
clause, "(a >= ? AND (a > ? OR (b >= ? AND (b > ? OR c > ?))))"
)
self.assertEqual(args, [1, 1, 2, 2, 3])