471 lines
19 KiB
Python
471 lines
19 KiB
Python
# Copyright 2014-2016 OpenMarket Ltd
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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 typing import TYPE_CHECKING, Dict, List, Mapping, Optional, Tuple, Union
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from synapse.storage._base import SQLBaseStore
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from synapse.storage.database import (
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DatabasePool,
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LoggingDatabaseConnection,
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LoggingTransaction,
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)
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from synapse.storage.engines import PostgresEngine
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from synapse.types import MutableStateMap, StateMap
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from synapse.types.state import StateFilter
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from synapse.util.caches import intern_string
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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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MAX_STATE_DELTA_HOPS = 100
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class StateGroupBackgroundUpdateStore(SQLBaseStore):
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"""Defines functions related to state groups needed to run the state background
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updates.
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"""
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def _count_state_group_hops_txn(
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self, txn: LoggingTransaction, state_group: int
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) -> int:
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"""Given a state group, count how many hops there are in the tree.
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This is used to ensure the delta chains don't get too long.
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"""
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if isinstance(self.database_engine, PostgresEngine):
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sql = """
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WITH RECURSIVE state(state_group) AS (
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VALUES(?::bigint)
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UNION ALL
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SELECT prev_state_group FROM state_group_edges e, state s
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WHERE s.state_group = e.state_group
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)
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SELECT count(*) FROM state;
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"""
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txn.execute(sql, (state_group,))
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row = txn.fetchone()
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if row and row[0]:
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return row[0]
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else:
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return 0
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else:
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# We don't use WITH RECURSIVE on sqlite3 as there are distributions
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# that ship with an sqlite3 version that doesn't support it (e.g. wheezy)
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next_group: Optional[int] = state_group
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count = 0
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while next_group:
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next_group = self.db_pool.simple_select_one_onecol_txn(
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txn,
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table="state_group_edges",
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keyvalues={"state_group": next_group},
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retcol="prev_state_group",
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allow_none=True,
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)
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if next_group:
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count += 1
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return count
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def _get_state_groups_from_groups_txn(
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self,
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txn: LoggingTransaction,
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groups: List[int],
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state_filter: Optional[StateFilter] = None,
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) -> Mapping[int, StateMap[str]]:
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state_filter = state_filter or StateFilter.all()
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results: Dict[int, MutableStateMap[str]] = {group: {} for group in groups}
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if isinstance(self.database_engine, PostgresEngine):
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# Temporarily disable sequential scans in this transaction. This is
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# a temporary hack until we can add the right indices in
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txn.execute("SET LOCAL enable_seqscan=off")
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# The below query walks the state_group tree so that the "state"
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# table includes all state_groups in the tree. It then joins
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# against `state_groups_state` to fetch the latest state.
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# It assumes that previous state groups are always numerically
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# lesser.
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# This may return multiple rows per (type, state_key), but last_value
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# should be the same.
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sql = """
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WITH RECURSIVE sgs(state_group) AS (
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VALUES(?::bigint)
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UNION ALL
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SELECT prev_state_group FROM state_group_edges e, sgs s
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WHERE s.state_group = e.state_group
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)
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%s
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"""
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overall_select_query_args: List[Union[int, str]] = []
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# This is an optimization to create a select clause per-condition. This
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# makes the query planner a lot smarter on what rows should pull out in the
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# first place and we end up with something that takes 10x less time to get a
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# result.
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use_condition_optimization = (
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not state_filter.include_others and not state_filter.is_full()
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)
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state_filter_condition_combos: List[Tuple[str, Optional[str]]] = []
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# We don't need to caclculate this list if we're not using the condition
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# optimization
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if use_condition_optimization:
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for etype, state_keys in state_filter.types.items():
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if state_keys is None:
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state_filter_condition_combos.append((etype, None))
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else:
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for state_key in state_keys:
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state_filter_condition_combos.append((etype, state_key))
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# And here is the optimization itself. We don't want to do the optimization
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# if there are too many individual conditions. 10 is an arbitrary number
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# with no testing behind it but we do know that we specifically made this
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# optimization for when we grab the necessary state out for
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# `filter_events_for_client` which just uses 2 conditions
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# (`EventTypes.RoomHistoryVisibility` and `EventTypes.Member`).
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if use_condition_optimization and len(state_filter_condition_combos) < 10:
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select_clause_list: List[str] = []
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for etype, skey in state_filter_condition_combos:
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if skey is None:
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where_clause = "(type = ?)"
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overall_select_query_args.extend([etype])
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else:
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where_clause = "(type = ? AND state_key = ?)"
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overall_select_query_args.extend([etype, skey])
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select_clause_list.append(
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f"""
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(
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SELECT DISTINCT ON (type, state_key)
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type, state_key, event_id
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FROM state_groups_state
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INNER JOIN sgs USING (state_group)
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WHERE {where_clause}
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ORDER BY type, state_key, state_group DESC
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)
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"""
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)
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overall_select_clause = " UNION ".join(select_clause_list)
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else:
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where_clause, where_args = state_filter.make_sql_filter_clause()
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# Unless the filter clause is empty, we're going to append it after an
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# existing where clause
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if where_clause:
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where_clause = " AND (%s)" % (where_clause,)
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overall_select_query_args.extend(where_args)
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overall_select_clause = f"""
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SELECT DISTINCT ON (type, state_key)
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type, state_key, event_id
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FROM state_groups_state
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WHERE state_group IN (
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SELECT state_group FROM sgs
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) {where_clause}
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ORDER BY type, state_key, state_group DESC
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"""
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for group in groups:
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args: List[Union[int, str]] = [group]
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args.extend(overall_select_query_args)
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txn.execute(sql % (overall_select_clause,), args)
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for row in txn:
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typ, state_key, event_id = row
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key = (intern_string(typ), intern_string(state_key))
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results[group][key] = event_id
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else:
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max_entries_returned = state_filter.max_entries_returned()
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where_clause, where_args = state_filter.make_sql_filter_clause()
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# Unless the filter clause is empty, we're going to append it after an
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# existing where clause
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if where_clause:
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where_clause = " AND (%s)" % (where_clause,)
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# We don't use WITH RECURSIVE on sqlite3 as there are distributions
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# that ship with an sqlite3 version that doesn't support it (e.g. wheezy)
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for group in groups:
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next_group: Optional[int] = group
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while next_group:
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# We did this before by getting the list of group ids, and
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# then passing that list to sqlite to get latest event for
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# each (type, state_key). However, that was terribly slow
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# without the right indices (which we can't add until
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# after we finish deduping state, which requires this func)
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args = [next_group]
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args.extend(where_args)
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txn.execute(
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"SELECT type, state_key, event_id FROM state_groups_state"
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" WHERE state_group = ? " + where_clause,
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args,
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)
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results[group].update(
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((typ, state_key), event_id)
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for typ, state_key, event_id in txn
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if (typ, state_key) not in results[group]
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)
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# If the number of entries in the (type,state_key)->event_id dict
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# matches the number of (type,state_keys) types we were searching
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# for, then we must have found them all, so no need to go walk
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# further down the tree... UNLESS our types filter contained
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# wildcards (i.e. Nones) in which case we have to do an exhaustive
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# search
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if (
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max_entries_returned is not None
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and len(results[group]) == max_entries_returned
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):
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break
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next_group = self.db_pool.simple_select_one_onecol_txn(
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txn,
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table="state_group_edges",
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keyvalues={"state_group": next_group},
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retcol="prev_state_group",
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allow_none=True,
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)
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# The results shouldn't be considered mutable.
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return results
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class StateBackgroundUpdateStore(StateGroupBackgroundUpdateStore):
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STATE_GROUP_DEDUPLICATION_UPDATE_NAME = "state_group_state_deduplication"
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STATE_GROUP_INDEX_UPDATE_NAME = "state_group_state_type_index"
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STATE_GROUPS_ROOM_INDEX_UPDATE_NAME = "state_groups_room_id_idx"
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STATE_GROUP_EDGES_UNIQUE_INDEX_UPDATE_NAME = "state_group_edges_unique_idx"
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def __init__(
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self,
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database: DatabasePool,
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db_conn: LoggingDatabaseConnection,
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hs: "HomeServer",
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):
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super().__init__(database, db_conn, hs)
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self.db_pool.updates.register_background_update_handler(
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self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME,
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self._background_deduplicate_state,
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)
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self.db_pool.updates.register_background_update_handler(
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self.STATE_GROUP_INDEX_UPDATE_NAME, self._background_index_state
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)
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self.db_pool.updates.register_background_index_update(
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self.STATE_GROUPS_ROOM_INDEX_UPDATE_NAME,
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index_name="state_groups_room_id_idx",
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table="state_groups",
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columns=["room_id"],
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)
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# `state_group_edges` can cause severe performance issues if duplicate
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# rows are introduced, which can accidentally be done by well-meaning
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# server admins when trying to restore a database dump, etc.
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# See https://github.com/matrix-org/synapse/issues/11779.
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# Introduce a unique index to guard against that.
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self.db_pool.updates.register_background_index_update(
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self.STATE_GROUP_EDGES_UNIQUE_INDEX_UPDATE_NAME,
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index_name="state_group_edges_unique_idx",
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table="state_group_edges",
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columns=["state_group", "prev_state_group"],
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unique=True,
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# The old index was on (state_group) and was not unique.
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replaces_index="state_group_edges_idx",
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)
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async def _background_deduplicate_state(
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self, progress: dict, batch_size: int
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) -> int:
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"""This background update will slowly deduplicate state by reencoding
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them as deltas.
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"""
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last_state_group = progress.get("last_state_group", 0)
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rows_inserted = progress.get("rows_inserted", 0)
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max_group = progress.get("max_group", None)
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BATCH_SIZE_SCALE_FACTOR = 100
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batch_size = max(1, int(batch_size / BATCH_SIZE_SCALE_FACTOR))
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if max_group is None:
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rows = await self.db_pool.execute(
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"_background_deduplicate_state",
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None,
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"SELECT coalesce(max(id), 0) FROM state_groups",
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)
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max_group = rows[0][0]
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def reindex_txn(txn: LoggingTransaction) -> Tuple[bool, int]:
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new_last_state_group = last_state_group
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for count in range(batch_size):
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txn.execute(
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"SELECT id, room_id FROM state_groups"
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" WHERE ? < id AND id <= ?"
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" ORDER BY id ASC"
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" LIMIT 1",
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(new_last_state_group, max_group),
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)
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row = txn.fetchone()
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if row:
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state_group, room_id = row
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if not row or not state_group:
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return True, count
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txn.execute(
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"SELECT state_group FROM state_group_edges"
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" WHERE state_group = ?",
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(state_group,),
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)
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# If we reach a point where we've already started inserting
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# edges we should stop.
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if txn.fetchall():
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return True, count
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txn.execute(
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"SELECT coalesce(max(id), 0) FROM state_groups"
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" WHERE id < ? AND room_id = ?",
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(state_group, room_id),
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)
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# There will be a result due to the coalesce.
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(prev_group,) = txn.fetchone() # type: ignore
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new_last_state_group = state_group
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if prev_group:
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potential_hops = self._count_state_group_hops_txn(txn, prev_group)
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if potential_hops >= MAX_STATE_DELTA_HOPS:
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# We want to ensure chains are at most this long,#
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# otherwise read performance degrades.
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continue
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prev_state_by_group = self._get_state_groups_from_groups_txn(
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txn, [prev_group]
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)
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prev_state = prev_state_by_group[prev_group]
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curr_state_by_group = self._get_state_groups_from_groups_txn(
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txn, [state_group]
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)
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curr_state = curr_state_by_group[state_group]
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if not set(prev_state.keys()) - set(curr_state.keys()):
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# We can only do a delta if the current has a strict super set
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# of keys
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delta_state = {
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key: value
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for key, value in curr_state.items()
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if prev_state.get(key, None) != value
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}
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self.db_pool.simple_delete_txn(
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txn,
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table="state_group_edges",
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keyvalues={"state_group": state_group},
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)
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self.db_pool.simple_insert_txn(
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txn,
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table="state_group_edges",
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values={
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"state_group": state_group,
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"prev_state_group": prev_group,
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},
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)
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self.db_pool.simple_delete_txn(
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txn,
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table="state_groups_state",
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keyvalues={"state_group": state_group},
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)
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self.db_pool.simple_insert_many_txn(
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txn,
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table="state_groups_state",
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keys=(
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"state_group",
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"room_id",
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"type",
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"state_key",
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"event_id",
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),
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values=[
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(state_group, room_id, key[0], key[1], state_id)
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for key, state_id in delta_state.items()
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],
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)
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progress = {
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"last_state_group": state_group,
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"rows_inserted": rows_inserted + batch_size,
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"max_group": max_group,
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}
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self.db_pool.updates._background_update_progress_txn(
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txn, self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME, progress
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)
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return False, batch_size
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finished, result = await self.db_pool.runInteraction(
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self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME, reindex_txn
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)
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if finished:
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await self.db_pool.updates._end_background_update(
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self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME
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)
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return result * BATCH_SIZE_SCALE_FACTOR
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async def _background_index_state(self, progress: dict, batch_size: int) -> int:
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def reindex_txn(conn: LoggingDatabaseConnection) -> None:
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conn.rollback()
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if isinstance(self.database_engine, PostgresEngine):
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# postgres insists on autocommit for the index
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conn.set_session(autocommit=True)
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try:
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txn = conn.cursor()
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txn.execute(
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"CREATE INDEX CONCURRENTLY state_groups_state_type_idx"
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" ON state_groups_state(state_group, type, state_key)"
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)
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txn.execute("DROP INDEX IF EXISTS state_groups_state_id")
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finally:
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conn.set_session(autocommit=False)
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else:
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txn = conn.cursor()
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txn.execute(
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"CREATE INDEX state_groups_state_type_idx"
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" ON state_groups_state(state_group, type, state_key)"
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)
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txn.execute("DROP INDEX IF EXISTS state_groups_state_id")
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await self.db_pool.runWithConnection(reindex_txn)
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await self.db_pool.updates._end_background_update(
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self.STATE_GROUP_INDEX_UPDATE_NAME
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)
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return 1
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