1303 lines
46 KiB
Python
1303 lines
46 KiB
Python
# Copyright 2014-2016 OpenMarket Ltd
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# Copyright 2017 Vector Creations Ltd
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# Copyright 2018-2019 New Vector Ltd
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# Copyright 2019 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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""" This module is responsible for getting events from the DB for pagination
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and event streaming.
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The order it returns events in depend on whether we are streaming forwards or
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are paginating backwards. We do this because we want to handle out of order
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messages nicely, while still returning them in the correct order when we
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paginate bacwards.
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This is implemented by keeping two ordering columns: stream_ordering and
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topological_ordering. Stream ordering is basically insertion/received order
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(except for events from backfill requests). The topological_ordering is a
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weak ordering of events based on the pdu graph.
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This means that we have to have two different types of tokens, depending on
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what sort order was used:
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- stream tokens are of the form: "s%d", which maps directly to the column
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- topological tokems: "t%d-%d", where the integers map to the topological
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and stream ordering columns respectively.
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"""
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import abc
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import logging
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from collections import namedtuple
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from typing import TYPE_CHECKING, Collection, Dict, List, Optional, Set, Tuple
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from twisted.internet import defer
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from synapse.api.filtering import Filter
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from synapse.events import EventBase
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from synapse.logging.context import make_deferred_yieldable, run_in_background
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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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LoggingTransaction,
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make_in_list_sql_clause,
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)
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from synapse.storage.databases.main.events_worker import EventsWorkerStore
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from synapse.storage.engines import BaseDatabaseEngine, PostgresEngine
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from synapse.storage.util.id_generators import MultiWriterIdGenerator
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from synapse.types import PersistedEventPosition, RoomStreamToken
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from synapse.util.caches.descriptors import cached
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from synapse.util.caches.stream_change_cache import StreamChangeCache
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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_STREAM_SIZE = 1000
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_STREAM_TOKEN = "stream"
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_TOPOLOGICAL_TOKEN = "topological"
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# Used as return values for pagination APIs
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_EventDictReturn = namedtuple(
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"_EventDictReturn", ("event_id", "topological_ordering", "stream_ordering")
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)
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def generate_pagination_where_clause(
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direction: str,
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column_names: Tuple[str, str],
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from_token: Optional[Tuple[Optional[int], int]],
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to_token: Optional[Tuple[Optional[int], int]],
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engine: BaseDatabaseEngine,
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) -> str:
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"""Creates an SQL expression to bound the columns by the pagination
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tokens.
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For example creates an SQL expression like:
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(6, 7) >= (topological_ordering, stream_ordering)
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AND (5, 3) < (topological_ordering, stream_ordering)
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would be generated for dir=b, from_token=(6, 7) and to_token=(5, 3).
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Note that tokens are considered to be after the row they are in, e.g. if
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a row A has a token T, then we consider A to be before T. This convention
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is important when figuring out inequalities for the generated SQL, and
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produces the following result:
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- If paginating forwards then we exclude any rows matching the from
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token, but include those that match the to token.
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- If paginating backwards then we include any rows matching the from
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token, but include those that match the to token.
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Args:
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direction: Whether we're paginating backwards("b") or forwards ("f").
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column_names: The column names to bound. Must *not* be user defined as
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these get inserted directly into the SQL statement without escapes.
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from_token: The start point for the pagination. This is an exclusive
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minimum bound if direction is "f", and an inclusive maximum bound if
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direction is "b".
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to_token: The endpoint point for the pagination. This is an inclusive
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maximum bound if direction is "f", and an exclusive minimum bound if
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direction is "b".
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engine: The database engine to generate the clauses for
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Returns:
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The sql expression
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"""
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assert direction in ("b", "f")
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where_clause = []
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if from_token:
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where_clause.append(
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_make_generic_sql_bound(
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bound=">=" if direction == "b" else "<",
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column_names=column_names,
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values=from_token,
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engine=engine,
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)
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)
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if to_token:
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where_clause.append(
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_make_generic_sql_bound(
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bound="<" if direction == "b" else ">=",
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column_names=column_names,
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values=to_token,
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engine=engine,
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)
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)
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return " AND ".join(where_clause)
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def _make_generic_sql_bound(
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bound: str,
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column_names: Tuple[str, str],
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values: Tuple[Optional[int], int],
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engine: BaseDatabaseEngine,
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) -> str:
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"""Create an SQL expression that bounds the given column names by the
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values, e.g. create the equivalent of `(1, 2) < (col1, col2)`.
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Only works with two columns.
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Older versions of SQLite don't support that syntax so we have to expand it
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out manually.
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Args:
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bound: The comparison operator to use. One of ">", "<", ">=",
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"<=", where the values are on the left and columns on the right.
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names: The column names. Must *not* be user defined
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as these get inserted directly into the SQL statement without
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escapes.
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values: The values to bound the columns by. If
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the first value is None then only creates a bound on the second
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column.
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engine: The database engine to generate the SQL for
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Returns:
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The SQL statement
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"""
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assert bound in (">", "<", ">=", "<=")
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name1, name2 = column_names
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val1, val2 = values
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if val1 is None:
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val2 = int(val2)
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return "(%d %s %s)" % (val2, bound, name2)
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val1 = int(val1)
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val2 = int(val2)
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if isinstance(engine, PostgresEngine):
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# Postgres doesn't optimise ``(x < a) OR (x=a AND y<b)`` as well
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# as it optimises ``(x,y) < (a,b)`` on multicolumn indexes. So we
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# use the later form when running against postgres.
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return "((%d,%d) %s (%s,%s))" % (val1, val2, bound, name1, name2)
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# We want to generate queries of e.g. the form:
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#
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# (val1 < name1 OR (val1 = name1 AND val2 <= name2))
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#
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# which is equivalent to (val1, val2) < (name1, name2)
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return """(
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{val1:d} {strict_bound} {name1}
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OR ({val1:d} = {name1} AND {val2:d} {bound} {name2})
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)""".format(
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name1=name1,
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val1=val1,
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name2=name2,
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val2=val2,
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strict_bound=bound[0], # The first bound must always be strict equality here
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bound=bound,
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)
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def _filter_results(
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lower_token: Optional[RoomStreamToken],
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upper_token: Optional[RoomStreamToken],
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instance_name: str,
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topological_ordering: int,
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stream_ordering: int,
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) -> bool:
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"""Returns True if the event persisted by the given instance at the given
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topological/stream_ordering falls between the two tokens (taking a None
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token to mean unbounded).
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Used to filter results from fetching events in the DB against the given
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tokens. This is necessary to handle the case where the tokens include
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position maps, which we handle by fetching more than necessary from the DB
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and then filtering (rather than attempting to construct a complicated SQL
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query).
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"""
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event_historical_tuple = (
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topological_ordering,
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stream_ordering,
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)
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if lower_token:
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if lower_token.topological is not None:
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# If these are historical tokens we compare the `(topological, stream)`
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# tuples.
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if event_historical_tuple <= lower_token.as_historical_tuple():
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return False
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else:
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# If these are live tokens we compare the stream ordering against the
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# writers stream position.
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if stream_ordering <= lower_token.get_stream_pos_for_instance(
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instance_name
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):
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return False
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if upper_token:
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if upper_token.topological is not None:
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if upper_token.as_historical_tuple() < event_historical_tuple:
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return False
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else:
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if upper_token.get_stream_pos_for_instance(instance_name) < stream_ordering:
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return False
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return True
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def filter_to_clause(event_filter: Optional[Filter]) -> Tuple[str, List[str]]:
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# NB: This may create SQL clauses that don't optimise well (and we don't
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# have indices on all possible clauses). E.g. it may create
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# "room_id == X AND room_id != X", which postgres doesn't optimise.
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if not event_filter:
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return "", []
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clauses = []
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args = []
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if event_filter.types:
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clauses.append("(%s)" % " OR ".join("type = ?" for _ in event_filter.types))
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args.extend(event_filter.types)
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for typ in event_filter.not_types:
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clauses.append("type != ?")
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args.append(typ)
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if event_filter.senders:
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clauses.append("(%s)" % " OR ".join("sender = ?" for _ in event_filter.senders))
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args.extend(event_filter.senders)
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for sender in event_filter.not_senders:
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clauses.append("sender != ?")
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args.append(sender)
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if event_filter.rooms:
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clauses.append("(%s)" % " OR ".join("room_id = ?" for _ in event_filter.rooms))
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args.extend(event_filter.rooms)
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for room_id in event_filter.not_rooms:
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clauses.append("room_id != ?")
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args.append(room_id)
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if event_filter.contains_url:
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clauses.append("contains_url = ?")
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args.append(event_filter.contains_url)
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# We're only applying the "labels" filter on the database query, because applying the
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# "not_labels" filter via a SQL query is non-trivial. Instead, we let
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# event_filter.check_fields apply it, which is not as efficient but makes the
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# implementation simpler.
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if event_filter.labels:
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clauses.append("(%s)" % " OR ".join("label = ?" for _ in event_filter.labels))
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args.extend(event_filter.labels)
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return " AND ".join(clauses), args
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class StreamWorkerStore(EventsWorkerStore, SQLBaseStore, metaclass=abc.ABCMeta):
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"""This is an abstract base class where subclasses must implement
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`get_room_max_stream_ordering` and `get_room_min_stream_ordering`
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which can be called in the initializer.
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"""
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def __init__(self, database: DatabasePool, db_conn, hs: "HomeServer"):
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super().__init__(database, db_conn, hs)
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self._instance_name = hs.get_instance_name()
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self._send_federation = hs.should_send_federation()
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self._federation_shard_config = hs.config.worker.federation_shard_config
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# If we're a process that sends federation we may need to reset the
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# `federation_stream_position` table to match the current sharding
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# config. We don't do this now as otherwise two processes could conflict
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# during startup which would cause one to die.
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self._need_to_reset_federation_stream_positions = self._send_federation
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events_max = self.get_room_max_stream_ordering()
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event_cache_prefill, min_event_val = self.db_pool.get_cache_dict(
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db_conn,
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"events",
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entity_column="room_id",
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stream_column="stream_ordering",
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max_value=events_max,
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)
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self._events_stream_cache = StreamChangeCache(
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"EventsRoomStreamChangeCache",
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min_event_val,
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prefilled_cache=event_cache_prefill,
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)
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self._membership_stream_cache = StreamChangeCache(
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"MembershipStreamChangeCache", events_max
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)
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self._stream_order_on_start = self.get_room_max_stream_ordering()
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@abc.abstractmethod
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def get_room_max_stream_ordering(self) -> int:
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raise NotImplementedError()
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@abc.abstractmethod
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def get_room_min_stream_ordering(self) -> int:
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raise NotImplementedError()
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def get_room_max_token(self) -> RoomStreamToken:
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"""Get a `RoomStreamToken` that marks the current maximum persisted
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position of the events stream. Useful to get a token that represents
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"now".
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The token returned is a "live" token that may have an instance_map
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component.
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"""
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min_pos = self._stream_id_gen.get_current_token()
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positions = {}
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if isinstance(self._stream_id_gen, MultiWriterIdGenerator):
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# The `min_pos` is the minimum position that we know all instances
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# have finished persisting to, so we only care about instances whose
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# positions are ahead of that. (Instance positions can be behind the
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# min position as there are times we can work out that the minimum
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# position is ahead of the naive minimum across all current
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# positions. See MultiWriterIdGenerator for details)
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positions = {
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i: p
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for i, p in self._stream_id_gen.get_positions().items()
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if p > min_pos
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}
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return RoomStreamToken(None, min_pos, positions)
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async def get_room_events_stream_for_rooms(
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self,
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room_ids: Collection[str],
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from_key: RoomStreamToken,
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to_key: RoomStreamToken,
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limit: int = 0,
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order: str = "DESC",
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) -> Dict[str, Tuple[List[EventBase], RoomStreamToken]]:
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"""Get new room events in stream ordering since `from_key`.
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Args:
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room_ids
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from_key: Token from which no events are returned before
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to_key: Token from which no events are returned after. (This
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is typically the current stream token)
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limit: Maximum number of events to return
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order: Either "DESC" or "ASC". Determines which events are
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returned when the result is limited. If "DESC" then the most
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recent `limit` events are returned, otherwise returns the
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oldest `limit` events.
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Returns:
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A map from room id to a tuple containing:
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- list of recent events in the room
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- stream ordering key for the start of the chunk of events returned.
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"""
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room_ids = self._events_stream_cache.get_entities_changed(
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room_ids, from_key.stream
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)
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if not room_ids:
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return {}
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results = {}
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room_ids = list(room_ids)
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for rm_ids in (room_ids[i : i + 20] for i in range(0, len(room_ids), 20)):
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res = await make_deferred_yieldable(
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defer.gatherResults(
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[
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run_in_background(
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self.get_room_events_stream_for_room,
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room_id,
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from_key,
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to_key,
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limit,
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order=order,
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)
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for room_id in rm_ids
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],
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consumeErrors=True,
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)
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)
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results.update(dict(zip(rm_ids, res)))
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return results
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def get_rooms_that_changed(
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self, room_ids: Collection[str], from_key: RoomStreamToken
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) -> Set[str]:
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"""Given a list of rooms and a token, return rooms where there may have
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been changes.
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"""
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from_id = from_key.stream
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return {
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room_id
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for room_id in room_ids
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if self._events_stream_cache.has_entity_changed(room_id, from_id)
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}
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async def get_room_events_stream_for_room(
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self,
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room_id: str,
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from_key: RoomStreamToken,
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to_key: RoomStreamToken,
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limit: int = 0,
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order: str = "DESC",
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) -> Tuple[List[EventBase], RoomStreamToken]:
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"""Get new room events in stream ordering since `from_key`.
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Args:
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room_id
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from_key: Token from which no events are returned before
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to_key: Token from which no events are returned after. (This
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is typically the current stream token)
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limit: Maximum number of events to return
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order: Either "DESC" or "ASC". Determines which events are
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returned when the result is limited. If "DESC" then the most
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recent `limit` events are returned, otherwise returns the
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oldest `limit` events.
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Returns:
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The list of events (in ascending order) and the token from the start
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of the chunk of events returned.
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"""
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if from_key == to_key:
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return [], from_key
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has_changed = self._events_stream_cache.has_entity_changed(
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room_id, from_key.stream
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)
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if not has_changed:
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return [], from_key
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def f(txn):
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# To handle tokens with a non-empty instance_map we fetch more
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# results than necessary and then filter down
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min_from_id = from_key.stream
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max_to_id = to_key.get_max_stream_pos()
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sql = """
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SELECT event_id, instance_name, topological_ordering, stream_ordering
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FROM events
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WHERE
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room_id = ?
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AND not outlier
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AND stream_ordering > ? AND stream_ordering <= ?
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ORDER BY stream_ordering %s LIMIT ?
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""" % (
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order,
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)
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txn.execute(sql, (room_id, min_from_id, max_to_id, 2 * limit))
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rows = [
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_EventDictReturn(event_id, None, stream_ordering)
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for event_id, instance_name, topological_ordering, stream_ordering in txn
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if _filter_results(
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from_key,
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to_key,
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instance_name,
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topological_ordering,
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stream_ordering,
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)
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][:limit]
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return rows
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rows = await self.db_pool.runInteraction("get_room_events_stream_for_room", f)
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|
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ret = await self.get_events_as_list(
|
|
[r.event_id for r in rows], get_prev_content=True
|
|
)
|
|
|
|
self._set_before_and_after(ret, rows, topo_order=False)
|
|
|
|
if order.lower() == "desc":
|
|
ret.reverse()
|
|
|
|
if rows:
|
|
key = RoomStreamToken(None, min(r.stream_ordering for r in rows))
|
|
else:
|
|
# Assume we didn't get anything because there was nothing to
|
|
# get.
|
|
key = from_key
|
|
|
|
return ret, key
|
|
|
|
async def get_membership_changes_for_user(
|
|
self, user_id: str, from_key: RoomStreamToken, to_key: RoomStreamToken
|
|
) -> List[EventBase]:
|
|
if from_key == to_key:
|
|
return []
|
|
|
|
if from_key:
|
|
has_changed = self._membership_stream_cache.has_entity_changed(
|
|
user_id, int(from_key.stream)
|
|
)
|
|
if not has_changed:
|
|
return []
|
|
|
|
def f(txn):
|
|
# To handle tokens with a non-empty instance_map we fetch more
|
|
# results than necessary and then filter down
|
|
min_from_id = from_key.stream
|
|
max_to_id = to_key.get_max_stream_pos()
|
|
|
|
sql = """
|
|
SELECT m.event_id, instance_name, topological_ordering, stream_ordering
|
|
FROM events AS e, room_memberships AS m
|
|
WHERE e.event_id = m.event_id
|
|
AND m.user_id = ?
|
|
AND e.stream_ordering > ? AND e.stream_ordering <= ?
|
|
ORDER BY e.stream_ordering ASC
|
|
"""
|
|
txn.execute(
|
|
sql,
|
|
(
|
|
user_id,
|
|
min_from_id,
|
|
max_to_id,
|
|
),
|
|
)
|
|
|
|
rows = [
|
|
_EventDictReturn(event_id, None, stream_ordering)
|
|
for event_id, instance_name, topological_ordering, stream_ordering in txn
|
|
if _filter_results(
|
|
from_key,
|
|
to_key,
|
|
instance_name,
|
|
topological_ordering,
|
|
stream_ordering,
|
|
)
|
|
]
|
|
|
|
return rows
|
|
|
|
rows = await self.db_pool.runInteraction("get_membership_changes_for_user", f)
|
|
|
|
ret = await self.get_events_as_list(
|
|
[r.event_id for r in rows], get_prev_content=True
|
|
)
|
|
|
|
self._set_before_and_after(ret, rows, topo_order=False)
|
|
|
|
return ret
|
|
|
|
async def get_recent_events_for_room(
|
|
self, room_id: str, limit: int, end_token: RoomStreamToken
|
|
) -> Tuple[List[EventBase], RoomStreamToken]:
|
|
"""Get the most recent events in the room in topological ordering.
|
|
|
|
Args:
|
|
room_id
|
|
limit
|
|
end_token: The stream token representing now.
|
|
|
|
Returns:
|
|
A list of events and a token pointing to the start of the returned
|
|
events. The events returned are in ascending order.
|
|
"""
|
|
|
|
rows, token = await self.get_recent_event_ids_for_room(
|
|
room_id, limit, end_token
|
|
)
|
|
|
|
events = await self.get_events_as_list(
|
|
[r.event_id for r in rows], get_prev_content=True
|
|
)
|
|
|
|
self._set_before_and_after(events, rows)
|
|
|
|
return (events, token)
|
|
|
|
async def get_recent_event_ids_for_room(
|
|
self, room_id: str, limit: int, end_token: RoomStreamToken
|
|
) -> Tuple[List[_EventDictReturn], RoomStreamToken]:
|
|
"""Get the most recent events in the room in topological ordering.
|
|
|
|
Args:
|
|
room_id
|
|
limit
|
|
end_token: The stream token representing now.
|
|
|
|
Returns:
|
|
A list of _EventDictReturn and a token pointing to the start of the
|
|
returned events. The events returned are in ascending order.
|
|
"""
|
|
# Allow a zero limit here, and no-op.
|
|
if limit == 0:
|
|
return [], end_token
|
|
|
|
rows, token = await self.db_pool.runInteraction(
|
|
"get_recent_event_ids_for_room",
|
|
self._paginate_room_events_txn,
|
|
room_id,
|
|
from_token=end_token,
|
|
limit=limit,
|
|
)
|
|
|
|
# We want to return the results in ascending order.
|
|
rows.reverse()
|
|
|
|
return rows, token
|
|
|
|
async def get_room_event_before_stream_ordering(
|
|
self, room_id: str, stream_ordering: int
|
|
) -> Optional[Tuple[int, int, str]]:
|
|
"""Gets details of the first event in a room at or before a stream ordering
|
|
|
|
Args:
|
|
room_id:
|
|
stream_ordering:
|
|
|
|
Returns:
|
|
A tuple of (stream ordering, topological ordering, event_id)
|
|
"""
|
|
|
|
def _f(txn):
|
|
sql = (
|
|
"SELECT stream_ordering, topological_ordering, event_id"
|
|
" FROM events"
|
|
" WHERE room_id = ? AND stream_ordering <= ?"
|
|
" AND NOT outlier"
|
|
" ORDER BY stream_ordering DESC"
|
|
" LIMIT 1"
|
|
)
|
|
txn.execute(sql, (room_id, stream_ordering))
|
|
return txn.fetchone()
|
|
|
|
return await self.db_pool.runInteraction(
|
|
"get_room_event_before_stream_ordering", _f
|
|
)
|
|
|
|
async def get_room_events_max_id(self, room_id: Optional[str] = None) -> str:
|
|
"""Returns the current token for rooms stream.
|
|
|
|
By default, it returns the current global stream token. Specifying a
|
|
`room_id` causes it to return the current room specific topological
|
|
token.
|
|
"""
|
|
token = self.get_room_max_stream_ordering()
|
|
if room_id is None:
|
|
return "s%d" % (token,)
|
|
else:
|
|
topo = await self.db_pool.runInteraction(
|
|
"_get_max_topological_txn", self._get_max_topological_txn, room_id
|
|
)
|
|
return "t%d-%d" % (topo, token)
|
|
|
|
def get_stream_id_for_event_txn(
|
|
self,
|
|
txn: LoggingTransaction,
|
|
event_id: str,
|
|
allow_none=False,
|
|
) -> int:
|
|
return self.db_pool.simple_select_one_onecol_txn(
|
|
txn=txn,
|
|
table="events",
|
|
keyvalues={"event_id": event_id},
|
|
retcol="stream_ordering",
|
|
allow_none=allow_none,
|
|
)
|
|
|
|
async def get_position_for_event(self, event_id: str) -> PersistedEventPosition:
|
|
"""Get the persisted position for an event"""
|
|
row = await self.db_pool.simple_select_one(
|
|
table="events",
|
|
keyvalues={"event_id": event_id},
|
|
retcols=("stream_ordering", "instance_name"),
|
|
desc="get_position_for_event",
|
|
)
|
|
|
|
return PersistedEventPosition(
|
|
row["instance_name"] or "master", row["stream_ordering"]
|
|
)
|
|
|
|
async def get_topological_token_for_event(self, event_id: str) -> RoomStreamToken:
|
|
"""The stream token for an event
|
|
Args:
|
|
event_id: The id of the event to look up a stream token for.
|
|
Raises:
|
|
StoreError if the event wasn't in the database.
|
|
Returns:
|
|
A `RoomStreamToken` topological token.
|
|
"""
|
|
row = await self.db_pool.simple_select_one(
|
|
table="events",
|
|
keyvalues={"event_id": event_id},
|
|
retcols=("stream_ordering", "topological_ordering"),
|
|
desc="get_topological_token_for_event",
|
|
)
|
|
return RoomStreamToken(row["topological_ordering"], row["stream_ordering"])
|
|
|
|
async def get_current_topological_token(self, room_id: str, stream_key: int) -> int:
|
|
"""Gets the topological token in a room after or at the given stream
|
|
ordering.
|
|
|
|
Args:
|
|
room_id
|
|
stream_key
|
|
"""
|
|
sql = (
|
|
"SELECT coalesce(MIN(topological_ordering), 0) FROM events"
|
|
" WHERE room_id = ? AND stream_ordering >= ?"
|
|
)
|
|
row = await self.db_pool.execute(
|
|
"get_current_topological_token", None, sql, room_id, stream_key
|
|
)
|
|
return row[0][0] if row else 0
|
|
|
|
def _get_max_topological_txn(self, txn: LoggingTransaction, room_id: str) -> int:
|
|
txn.execute(
|
|
"SELECT MAX(topological_ordering) FROM events WHERE room_id = ?",
|
|
(room_id,),
|
|
)
|
|
|
|
rows = txn.fetchall()
|
|
return rows[0][0] if rows else 0
|
|
|
|
@staticmethod
|
|
def _set_before_and_after(
|
|
events: List[EventBase], rows: List[_EventDictReturn], topo_order: bool = True
|
|
):
|
|
"""Inserts ordering information to events' internal metadata from
|
|
the DB rows.
|
|
|
|
Args:
|
|
events
|
|
rows
|
|
topo_order: Whether the events were ordered topologically or by stream
|
|
ordering. If true then all rows should have a non null
|
|
topological_ordering.
|
|
"""
|
|
for event, row in zip(events, rows):
|
|
stream = row.stream_ordering
|
|
if topo_order and row.topological_ordering:
|
|
topo = row.topological_ordering
|
|
else:
|
|
topo = None
|
|
internal = event.internal_metadata
|
|
internal.before = RoomStreamToken(topo, stream - 1)
|
|
internal.after = RoomStreamToken(topo, stream)
|
|
internal.order = (int(topo) if topo else 0, int(stream))
|
|
|
|
async def get_events_around(
|
|
self,
|
|
room_id: str,
|
|
event_id: str,
|
|
before_limit: int,
|
|
after_limit: int,
|
|
event_filter: Optional[Filter] = None,
|
|
) -> dict:
|
|
"""Retrieve events and pagination tokens around a given event in a
|
|
room.
|
|
"""
|
|
|
|
results = await self.db_pool.runInteraction(
|
|
"get_events_around",
|
|
self._get_events_around_txn,
|
|
room_id,
|
|
event_id,
|
|
before_limit,
|
|
after_limit,
|
|
event_filter,
|
|
)
|
|
|
|
events_before = await self.get_events_as_list(
|
|
list(results["before"]["event_ids"]), get_prev_content=True
|
|
)
|
|
|
|
events_after = await self.get_events_as_list(
|
|
list(results["after"]["event_ids"]), get_prev_content=True
|
|
)
|
|
|
|
return {
|
|
"events_before": events_before,
|
|
"events_after": events_after,
|
|
"start": results["before"]["token"],
|
|
"end": results["after"]["token"],
|
|
}
|
|
|
|
def _get_events_around_txn(
|
|
self,
|
|
txn: LoggingTransaction,
|
|
room_id: str,
|
|
event_id: str,
|
|
before_limit: int,
|
|
after_limit: int,
|
|
event_filter: Optional[Filter],
|
|
) -> dict:
|
|
"""Retrieves event_ids and pagination tokens around a given event in a
|
|
room.
|
|
|
|
Args:
|
|
room_id
|
|
event_id
|
|
before_limit
|
|
after_limit
|
|
event_filter
|
|
|
|
Returns:
|
|
dict
|
|
"""
|
|
|
|
results = self.db_pool.simple_select_one_txn(
|
|
txn,
|
|
"events",
|
|
keyvalues={"event_id": event_id, "room_id": room_id},
|
|
retcols=["stream_ordering", "topological_ordering"],
|
|
)
|
|
|
|
# This cannot happen as `allow_none=False`.
|
|
assert results is not None
|
|
|
|
# Paginating backwards includes the event at the token, but paginating
|
|
# forward doesn't.
|
|
before_token = RoomStreamToken(
|
|
results["topological_ordering"] - 1, results["stream_ordering"]
|
|
)
|
|
|
|
after_token = RoomStreamToken(
|
|
results["topological_ordering"], results["stream_ordering"]
|
|
)
|
|
|
|
rows, start_token = self._paginate_room_events_txn(
|
|
txn,
|
|
room_id,
|
|
before_token,
|
|
direction="b",
|
|
limit=before_limit,
|
|
event_filter=event_filter,
|
|
)
|
|
events_before = [r.event_id for r in rows]
|
|
|
|
rows, end_token = self._paginate_room_events_txn(
|
|
txn,
|
|
room_id,
|
|
after_token,
|
|
direction="f",
|
|
limit=after_limit,
|
|
event_filter=event_filter,
|
|
)
|
|
events_after = [r.event_id for r in rows]
|
|
|
|
return {
|
|
"before": {"event_ids": events_before, "token": start_token},
|
|
"after": {"event_ids": events_after, "token": end_token},
|
|
}
|
|
|
|
async def get_all_new_events_stream(
|
|
self, from_id: int, current_id: int, limit: int
|
|
) -> Tuple[int, List[EventBase]]:
|
|
"""Get all new events
|
|
|
|
Returns all events with from_id < stream_ordering <= current_id.
|
|
|
|
Args:
|
|
from_id: the stream_ordering of the last event we processed
|
|
current_id: the stream_ordering of the most recently processed event
|
|
limit: the maximum number of events to return
|
|
|
|
Returns:
|
|
A tuple of (next_id, events), where `next_id` is the next value to
|
|
pass as `from_id` (it will either be the stream_ordering of the
|
|
last returned event, or, if fewer than `limit` events were found,
|
|
the `current_id`).
|
|
"""
|
|
|
|
def get_all_new_events_stream_txn(txn):
|
|
sql = (
|
|
"SELECT e.stream_ordering, e.event_id"
|
|
" FROM events AS e"
|
|
" WHERE"
|
|
" ? < e.stream_ordering AND e.stream_ordering <= ?"
|
|
" ORDER BY e.stream_ordering ASC"
|
|
" LIMIT ?"
|
|
)
|
|
|
|
txn.execute(sql, (from_id, current_id, limit))
|
|
rows = txn.fetchall()
|
|
|
|
upper_bound = current_id
|
|
if len(rows) == limit:
|
|
upper_bound = rows[-1][0]
|
|
|
|
return upper_bound, [row[1] for row in rows]
|
|
|
|
upper_bound, event_ids = await self.db_pool.runInteraction(
|
|
"get_all_new_events_stream", get_all_new_events_stream_txn
|
|
)
|
|
|
|
events = await self.get_events_as_list(event_ids)
|
|
|
|
return upper_bound, events
|
|
|
|
async def get_federation_out_pos(self, typ: str) -> int:
|
|
if self._need_to_reset_federation_stream_positions:
|
|
await self.db_pool.runInteraction(
|
|
"_reset_federation_positions_txn", self._reset_federation_positions_txn
|
|
)
|
|
self._need_to_reset_federation_stream_positions = False
|
|
|
|
return await self.db_pool.simple_select_one_onecol(
|
|
table="federation_stream_position",
|
|
retcol="stream_id",
|
|
keyvalues={"type": typ, "instance_name": self._instance_name},
|
|
desc="get_federation_out_pos",
|
|
)
|
|
|
|
async def update_federation_out_pos(self, typ: str, stream_id: int) -> None:
|
|
if self._need_to_reset_federation_stream_positions:
|
|
await self.db_pool.runInteraction(
|
|
"_reset_federation_positions_txn", self._reset_federation_positions_txn
|
|
)
|
|
self._need_to_reset_federation_stream_positions = False
|
|
|
|
await self.db_pool.simple_update_one(
|
|
table="federation_stream_position",
|
|
keyvalues={"type": typ, "instance_name": self._instance_name},
|
|
updatevalues={"stream_id": stream_id},
|
|
desc="update_federation_out_pos",
|
|
)
|
|
|
|
def _reset_federation_positions_txn(self, txn: LoggingTransaction) -> None:
|
|
"""Fiddles with the `federation_stream_position` table to make it match
|
|
the configured federation sender instances during start up.
|
|
"""
|
|
|
|
# The federation sender instances may have changed, so we need to
|
|
# massage the `federation_stream_position` table to have a row per type
|
|
# per instance sending federation. If there is a mismatch we update the
|
|
# table with the correct rows using the *minimum* stream ID seen. This
|
|
# may result in resending of events/EDUs to remote servers, but that is
|
|
# preferable to dropping them.
|
|
|
|
if not self._send_federation:
|
|
return
|
|
|
|
# Pull out the configured instances. If we don't have a shard config then
|
|
# we assume that we're the only instance sending.
|
|
configured_instances = self._federation_shard_config.instances
|
|
if not configured_instances:
|
|
configured_instances = [self._instance_name]
|
|
elif self._instance_name not in configured_instances:
|
|
return
|
|
|
|
instances_in_table = self.db_pool.simple_select_onecol_txn(
|
|
txn,
|
|
table="federation_stream_position",
|
|
keyvalues={},
|
|
retcol="instance_name",
|
|
)
|
|
|
|
if set(instances_in_table) == set(configured_instances):
|
|
# Nothing to do
|
|
return
|
|
|
|
sql = """
|
|
SELECT type, MIN(stream_id) FROM federation_stream_position
|
|
GROUP BY type
|
|
"""
|
|
txn.execute(sql)
|
|
min_positions = {typ: pos for typ, pos in txn} # Map from type -> min position
|
|
|
|
# Ensure we do actually have some values here
|
|
assert set(min_positions) == {"federation", "events"}
|
|
|
|
sql = """
|
|
DELETE FROM federation_stream_position
|
|
WHERE NOT (%s)
|
|
"""
|
|
clause, args = make_in_list_sql_clause(
|
|
txn.database_engine, "instance_name", configured_instances
|
|
)
|
|
txn.execute(sql % (clause,), args)
|
|
|
|
for typ, stream_id in min_positions.items():
|
|
self.db_pool.simple_upsert_txn(
|
|
txn,
|
|
table="federation_stream_position",
|
|
keyvalues={"type": typ, "instance_name": self._instance_name},
|
|
values={"stream_id": stream_id},
|
|
)
|
|
|
|
def has_room_changed_since(self, room_id: str, stream_id: int) -> bool:
|
|
return self._events_stream_cache.has_entity_changed(room_id, stream_id)
|
|
|
|
def _paginate_room_events_txn(
|
|
self,
|
|
txn: LoggingTransaction,
|
|
room_id: str,
|
|
from_token: RoomStreamToken,
|
|
to_token: Optional[RoomStreamToken] = None,
|
|
direction: str = "b",
|
|
limit: int = -1,
|
|
event_filter: Optional[Filter] = None,
|
|
) -> Tuple[List[_EventDictReturn], RoomStreamToken]:
|
|
"""Returns list of events before or after a given token.
|
|
|
|
Args:
|
|
txn
|
|
room_id
|
|
from_token: The token used to stream from
|
|
to_token: A token which if given limits the results to only those before
|
|
direction: Either 'b' or 'f' to indicate whether we are paginating
|
|
forwards or backwards from `from_key`.
|
|
limit: The maximum number of events to return.
|
|
event_filter: If provided filters the events to
|
|
those that match the filter.
|
|
|
|
Returns:
|
|
A list of _EventDictReturn and a token that points to the end of the
|
|
result set. If no events are returned then the end of the stream has
|
|
been reached (i.e. there are no events between `from_token` and
|
|
`to_token`), or `limit` is zero.
|
|
"""
|
|
|
|
assert int(limit) >= 0
|
|
|
|
# Tokens really represent positions between elements, but we use
|
|
# the convention of pointing to the event before the gap. Hence
|
|
# we have a bit of asymmetry when it comes to equalities.
|
|
args = [False, room_id]
|
|
if direction == "b":
|
|
order = "DESC"
|
|
else:
|
|
order = "ASC"
|
|
|
|
# The bounds for the stream tokens are complicated by the fact
|
|
# that we need to handle the instance_map part of the tokens. We do this
|
|
# by fetching all events between the min stream token and the maximum
|
|
# stream token (as returned by `RoomStreamToken.get_max_stream_pos`) and
|
|
# then filtering the results.
|
|
if from_token.topological is not None:
|
|
from_bound: Tuple[Optional[int], int] = from_token.as_historical_tuple()
|
|
elif direction == "b":
|
|
from_bound = (
|
|
None,
|
|
from_token.get_max_stream_pos(),
|
|
)
|
|
else:
|
|
from_bound = (
|
|
None,
|
|
from_token.stream,
|
|
)
|
|
|
|
to_bound: Optional[Tuple[Optional[int], int]] = None
|
|
if to_token:
|
|
if to_token.topological is not None:
|
|
to_bound = to_token.as_historical_tuple()
|
|
elif direction == "b":
|
|
to_bound = (
|
|
None,
|
|
to_token.stream,
|
|
)
|
|
else:
|
|
to_bound = (
|
|
None,
|
|
to_token.get_max_stream_pos(),
|
|
)
|
|
|
|
bounds = generate_pagination_where_clause(
|
|
direction=direction,
|
|
column_names=("topological_ordering", "stream_ordering"),
|
|
from_token=from_bound,
|
|
to_token=to_bound,
|
|
engine=self.database_engine,
|
|
)
|
|
|
|
filter_clause, filter_args = filter_to_clause(event_filter)
|
|
|
|
if filter_clause:
|
|
bounds += " AND " + filter_clause
|
|
args.extend(filter_args)
|
|
|
|
# We fetch more events as we'll filter the result set
|
|
args.append(int(limit) * 2)
|
|
|
|
select_keywords = "SELECT"
|
|
join_clause = ""
|
|
if event_filter and event_filter.labels:
|
|
# If we're not filtering on a label, then joining on event_labels will
|
|
# return as many row for a single event as the number of labels it has. To
|
|
# avoid this, only join if we're filtering on at least one label.
|
|
join_clause = """
|
|
LEFT JOIN event_labels
|
|
USING (event_id, room_id, topological_ordering)
|
|
"""
|
|
if len(event_filter.labels) > 1:
|
|
# Using DISTINCT in this SELECT query is quite expensive, because it
|
|
# requires the engine to sort on the entire (not limited) result set,
|
|
# i.e. the entire events table. We only need to use it when we're
|
|
# filtering on more than two labels, because that's the only scenario
|
|
# in which we can possibly to get multiple times the same event ID in
|
|
# the results.
|
|
select_keywords += "DISTINCT"
|
|
|
|
sql = """
|
|
%(select_keywords)s
|
|
event_id, instance_name,
|
|
topological_ordering, stream_ordering
|
|
FROM events
|
|
%(join_clause)s
|
|
WHERE outlier = ? AND room_id = ? AND %(bounds)s
|
|
ORDER BY topological_ordering %(order)s,
|
|
stream_ordering %(order)s LIMIT ?
|
|
""" % {
|
|
"select_keywords": select_keywords,
|
|
"join_clause": join_clause,
|
|
"bounds": bounds,
|
|
"order": order,
|
|
}
|
|
|
|
txn.execute(sql, args)
|
|
|
|
# Filter the result set.
|
|
rows = [
|
|
_EventDictReturn(event_id, topological_ordering, stream_ordering)
|
|
for event_id, instance_name, topological_ordering, stream_ordering in txn
|
|
if _filter_results(
|
|
lower_token=to_token if direction == "b" else from_token,
|
|
upper_token=from_token if direction == "b" else to_token,
|
|
instance_name=instance_name,
|
|
topological_ordering=topological_ordering,
|
|
stream_ordering=stream_ordering,
|
|
)
|
|
][:limit]
|
|
|
|
if rows:
|
|
topo = rows[-1].topological_ordering
|
|
toke = rows[-1].stream_ordering
|
|
if direction == "b":
|
|
# Tokens are positions between events.
|
|
# This token points *after* the last event in the chunk.
|
|
# We need it to point to the event before it in the chunk
|
|
# when we are going backwards so we subtract one from the
|
|
# stream part.
|
|
toke -= 1
|
|
next_token = RoomStreamToken(topo, toke)
|
|
else:
|
|
# TODO (erikj): We should work out what to do here instead.
|
|
next_token = to_token if to_token else from_token
|
|
|
|
return rows, next_token
|
|
|
|
async def paginate_room_events(
|
|
self,
|
|
room_id: str,
|
|
from_key: RoomStreamToken,
|
|
to_key: Optional[RoomStreamToken] = None,
|
|
direction: str = "b",
|
|
limit: int = -1,
|
|
event_filter: Optional[Filter] = None,
|
|
) -> Tuple[List[EventBase], RoomStreamToken]:
|
|
"""Returns list of events before or after a given token.
|
|
|
|
Args:
|
|
room_id
|
|
from_key: The token used to stream from
|
|
to_key: A token which if given limits the results to only those before
|
|
direction: Either 'b' or 'f' to indicate whether we are paginating
|
|
forwards or backwards from `from_key`.
|
|
limit: The maximum number of events to return.
|
|
event_filter: If provided filters the events to those that match the filter.
|
|
|
|
Returns:
|
|
The results as a list of events and a token that points to the end
|
|
of the result set. If no events are returned then the end of the
|
|
stream has been reached (i.e. there are no events between `from_key`
|
|
and `to_key`).
|
|
"""
|
|
|
|
rows, token = await self.db_pool.runInteraction(
|
|
"paginate_room_events",
|
|
self._paginate_room_events_txn,
|
|
room_id,
|
|
from_key,
|
|
to_key,
|
|
direction,
|
|
limit,
|
|
event_filter,
|
|
)
|
|
|
|
events = await self.get_events_as_list(
|
|
[r.event_id for r in rows], get_prev_content=True
|
|
)
|
|
|
|
self._set_before_and_after(events, rows)
|
|
|
|
return (events, token)
|
|
|
|
@cached()
|
|
async def get_id_for_instance(self, instance_name: str) -> int:
|
|
"""Get a unique, immutable ID that corresponds to the given Synapse worker instance."""
|
|
|
|
def _get_id_for_instance_txn(txn):
|
|
instance_id = self.db_pool.simple_select_one_onecol_txn(
|
|
txn,
|
|
table="instance_map",
|
|
keyvalues={"instance_name": instance_name},
|
|
retcol="instance_id",
|
|
allow_none=True,
|
|
)
|
|
if instance_id is not None:
|
|
return instance_id
|
|
|
|
# If we don't have an entry upsert one.
|
|
#
|
|
# We could do this before the first check, and rely on the cache for
|
|
# efficiency, but each UPSERT causes the next ID to increment which
|
|
# can quickly bloat the size of the generated IDs for new instances.
|
|
self.db_pool.simple_upsert_txn(
|
|
txn,
|
|
table="instance_map",
|
|
keyvalues={"instance_name": instance_name},
|
|
values={},
|
|
)
|
|
|
|
return self.db_pool.simple_select_one_onecol_txn(
|
|
txn,
|
|
table="instance_map",
|
|
keyvalues={"instance_name": instance_name},
|
|
retcol="instance_id",
|
|
)
|
|
|
|
return await self.db_pool.runInteraction(
|
|
"get_id_for_instance", _get_id_for_instance_txn
|
|
)
|
|
|
|
@cached()
|
|
async def get_name_from_instance_id(self, instance_id: int) -> str:
|
|
"""Get the instance name from an ID previously returned by
|
|
`get_id_for_instance`.
|
|
"""
|
|
|
|
return await self.db_pool.simple_select_one_onecol(
|
|
table="instance_map",
|
|
keyvalues={"instance_id": instance_id},
|
|
retcol="instance_name",
|
|
desc="get_name_from_instance_id",
|
|
)
|
|
|
|
|
|
class StreamStore(StreamWorkerStore):
|
|
def get_room_max_stream_ordering(self) -> int:
|
|
return self._stream_id_gen.get_current_token()
|
|
|
|
def get_room_min_stream_ordering(self) -> int:
|
|
return self._backfill_id_gen.get_current_token()
|