mirror of https://github.com/watcha-fr/synapse
Add admin endpoint to query room sizes (#15482)
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Add admin endpoint to query the largest rooms by disk space used in the database. |
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# Copyright 2023 The Matrix.org Foundation C.I.C. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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import logging |
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from collections import Counter |
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from typing import TYPE_CHECKING, Collection, List, Tuple |
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from synapse.api.errors import SynapseError |
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from synapse.storage.database import LoggingTransaction |
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from synapse.storage.databases import Databases |
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from synapse.storage.engines import PostgresEngine |
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if TYPE_CHECKING: |
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from synapse.server import HomeServer |
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logger = logging.getLogger(__name__) |
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class StatsController: |
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"""High level interface for getting statistics.""" |
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def __init__(self, hs: "HomeServer", stores: Databases): |
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self.stores = stores |
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async def get_room_db_size_estimate(self) -> List[Tuple[str, int]]: |
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"""Get an estimate of the largest rooms and how much database space they |
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use, in bytes. |
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Only works against PostgreSQL. |
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Note: this uses the postgres statistics so is a very rough estimate. |
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""" |
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# Note: We look at both tables on the main and state databases. |
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if not isinstance(self.stores.main.database_engine, PostgresEngine): |
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raise SynapseError(400, "Endpoint requires using PostgreSQL") |
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if not isinstance(self.stores.state.database_engine, PostgresEngine): |
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raise SynapseError(400, "Endpoint requires using PostgreSQL") |
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# For each "large" table, we go through and get the largest rooms |
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# and an estimate of how much space they take. We can then sum the |
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# results and return the top 10. |
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# |
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# This isn't the most accurate, but given all of these are estimates |
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# anyway its good enough. |
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room_estimates: Counter[str] = Counter() |
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# Return size of the table on disk, including indexes and TOAST. |
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table_sql = """ |
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SELECT pg_total_relation_size(?) |
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""" |
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# Get an estimate for the largest rooms and their frequency. |
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# |
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# Note: the cast here is a hack to cast from `anyarray` to an actual |
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# type. This ensures that psycopg2 passes us a back a a Python list. |
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column_sql = """ |
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SELECT |
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most_common_vals::TEXT::TEXT[], most_common_freqs::TEXT::NUMERIC[] |
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FROM pg_stats |
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WHERE tablename = ? and attname = 'room_id' |
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""" |
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def get_room_db_size_estimate_txn( |
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txn: LoggingTransaction, |
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tables: Collection[str], |
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) -> None: |
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for table in tables: |
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txn.execute(table_sql, (table,)) |
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row = txn.fetchone() |
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assert row is not None |
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(table_size,) = row |
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txn.execute(column_sql, (table,)) |
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row = txn.fetchone() |
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assert row is not None |
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vals, freqs = row |
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for room_id, freq in zip(vals, freqs): |
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room_estimates[room_id] += int(freq * table_size) |
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await self.stores.main.db_pool.runInteraction( |
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"get_room_db_size_estimate_main", |
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get_room_db_size_estimate_txn, |
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( |
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"event_json", |
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"events", |
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"event_search", |
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"event_edges", |
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"event_push_actions", |
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"stream_ordering_to_exterm", |
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), |
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) |
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await self.stores.state.db_pool.runInteraction( |
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"get_room_db_size_estimate_state", |
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get_room_db_size_estimate_txn, |
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("state_groups_state",), |
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) |
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return room_estimates.most_common(10) |
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