774 lines
28 KiB
Python
774 lines
28 KiB
Python
# 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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import logging
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from enum import Enum
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from itertools import chain
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, cast
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from typing_extensions import Counter
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from twisted.internet.defer import DeferredLock
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from synapse.api.constants import EventContentFields, EventTypes, Membership
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from synapse.api.errors import StoreError
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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.databases.main.state_deltas import StateDeltasStore
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from synapse.types import JsonDict
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from synapse.util.caches.descriptors import cached
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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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# these fields track absolutes (e.g. total number of rooms on the server)
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# You can think of these as Prometheus Gauges.
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# You can draw these stats on a line graph.
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# Example: number of users in a room
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ABSOLUTE_STATS_FIELDS = {
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"room": (
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"current_state_events",
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"joined_members",
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"invited_members",
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"knocked_members",
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"left_members",
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"banned_members",
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"local_users_in_room",
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),
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"user": ("joined_rooms",),
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}
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TYPE_TO_TABLE = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}
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# these are the tables (& ID columns) which contain our actual subjects
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TYPE_TO_ORIGIN_TABLE = {"room": ("rooms", "room_id"), "user": ("users", "name")}
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class UserSortOrder(Enum):
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"""
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Enum to define the sorting method used when returning users
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with get_users_paginate in __init__.py
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and get_users_media_usage_paginate in stats.py
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When moves this to __init__.py gets `builtins.ImportError` with
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`most likely due to a circular import`
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MEDIA_LENGTH = ordered by size of uploaded media.
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MEDIA_COUNT = ordered by number of uploaded media.
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USER_ID = ordered alphabetically by `user_id`.
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NAME = ordered alphabetically by `user_id`. This is for compatibility reasons,
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as the user_id is returned in the name field in the response in list users admin API.
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DISPLAYNAME = ordered alphabetically by `displayname`
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GUEST = ordered by `is_guest`
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ADMIN = ordered by `admin`
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DEACTIVATED = ordered by `deactivated`
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USER_TYPE = ordered alphabetically by `user_type`
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AVATAR_URL = ordered alphabetically by `avatar_url`
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SHADOW_BANNED = ordered by `shadow_banned`
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CREATION_TS = ordered by `creation_ts`
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"""
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MEDIA_LENGTH = "media_length"
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MEDIA_COUNT = "media_count"
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USER_ID = "user_id"
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NAME = "name"
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DISPLAYNAME = "displayname"
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GUEST = "is_guest"
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ADMIN = "admin"
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DEACTIVATED = "deactivated"
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USER_TYPE = "user_type"
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AVATAR_URL = "avatar_url"
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SHADOW_BANNED = "shadow_banned"
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CREATION_TS = "creation_ts"
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class StatsStore(StateDeltasStore):
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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.server_name = hs.hostname
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self.clock = self.hs.get_clock()
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self.stats_enabled = hs.config.stats.stats_enabled
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self.stats_delta_processing_lock = DeferredLock()
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self.db_pool.updates.register_background_update_handler(
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"populate_stats_process_rooms", self._populate_stats_process_rooms
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)
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self.db_pool.updates.register_background_update_handler(
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"populate_stats_process_users", self._populate_stats_process_users
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)
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# we no longer need to perform clean-up, but we will give ourselves
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# the potential to reintroduce it in the future – so documentation
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# will still encourage the use of this no-op handler.
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self.db_pool.updates.register_noop_background_update("populate_stats_cleanup")
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self.db_pool.updates.register_noop_background_update("populate_stats_prepare")
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async def _populate_stats_process_users(
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self, progress: JsonDict, batch_size: int
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) -> int:
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"""
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This is a background update which regenerates statistics for users.
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"""
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if not self.stats_enabled:
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await self.db_pool.updates._end_background_update(
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"populate_stats_process_users"
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)
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return 1
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last_user_id = progress.get("last_user_id", "")
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def _get_next_batch(txn: LoggingTransaction) -> List[str]:
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sql = """
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SELECT DISTINCT name FROM users
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WHERE name > ?
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ORDER BY name ASC
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LIMIT ?
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"""
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txn.execute(sql, (last_user_id, batch_size))
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return [r for r, in txn]
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users_to_work_on = await self.db_pool.runInteraction(
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"_populate_stats_process_users", _get_next_batch
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)
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# No more rooms -- complete the transaction.
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if not users_to_work_on:
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await self.db_pool.updates._end_background_update(
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"populate_stats_process_users"
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)
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return 1
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for user_id in users_to_work_on:
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await self._calculate_and_set_initial_state_for_user(user_id)
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progress["last_user_id"] = user_id
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await self.db_pool.runInteraction(
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"populate_stats_process_users",
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self.db_pool.updates._background_update_progress_txn,
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"populate_stats_process_users",
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progress,
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)
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return len(users_to_work_on)
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async def _populate_stats_process_rooms(
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self, progress: JsonDict, batch_size: int
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) -> int:
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"""This is a background update which regenerates statistics for rooms."""
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if not self.stats_enabled:
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await self.db_pool.updates._end_background_update(
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"populate_stats_process_rooms"
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)
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return 1
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last_room_id = progress.get("last_room_id", "")
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def _get_next_batch(txn: LoggingTransaction) -> List[str]:
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sql = """
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SELECT DISTINCT room_id FROM current_state_events
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WHERE room_id > ?
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ORDER BY room_id ASC
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LIMIT ?
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"""
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txn.execute(sql, (last_room_id, batch_size))
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return [r for r, in txn]
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rooms_to_work_on = await self.db_pool.runInteraction(
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"populate_stats_rooms_get_batch", _get_next_batch
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)
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# No more rooms -- complete the transaction.
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if not rooms_to_work_on:
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await self.db_pool.updates._end_background_update(
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"populate_stats_process_rooms"
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)
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return 1
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for room_id in rooms_to_work_on:
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await self._calculate_and_set_initial_state_for_room(room_id)
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progress["last_room_id"] = room_id
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await self.db_pool.runInteraction(
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"_populate_stats_process_rooms",
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self.db_pool.updates._background_update_progress_txn,
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"populate_stats_process_rooms",
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progress,
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)
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return len(rooms_to_work_on)
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async def get_stats_positions(self) -> int:
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"""
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Returns the stats processor positions.
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"""
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return await self.db_pool.simple_select_one_onecol(
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table="stats_incremental_position",
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keyvalues={},
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retcol="stream_id",
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desc="stats_incremental_position",
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)
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async def update_room_state(self, room_id: str, fields: Dict[str, Any]) -> None:
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"""Update the state of a room.
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fields can contain the following keys with string values:
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* join_rules
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* history_visibility
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* encryption
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* name
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* topic
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* avatar
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* canonical_alias
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* guest_access
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A is_federatable key can also be included with a boolean value.
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Args:
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room_id: The room ID to update the state of.
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fields: The fields to update. This can include a partial list of the
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above fields to only update some room information.
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"""
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# Ensure that the values to update are valid, they should be strings and
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# not contain any null bytes.
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#
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# Invalid data gets overwritten with null.
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#
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# Note that a missing value should not be overwritten (it keeps the
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# previous value).
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sentinel = object()
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for col in (
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"join_rules",
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"history_visibility",
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"encryption",
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"name",
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"topic",
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"avatar",
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"canonical_alias",
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"guest_access",
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):
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field = fields.get(col, sentinel)
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if field is not sentinel and (not isinstance(field, str) or "\0" in field):
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fields[col] = None
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await self.db_pool.simple_upsert(
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table="room_stats_state",
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keyvalues={"room_id": room_id},
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values=fields,
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desc="update_room_state",
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)
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@cached()
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async def get_earliest_token_for_stats(
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self, stats_type: str, id: str
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) -> Optional[int]:
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"""
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Fetch the "earliest token". This is used by the room stats delta
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processor to ignore deltas that have been processed between the
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start of the background task and any particular room's stats
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being calculated.
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Returns:
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The earliest token.
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"""
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table, id_col = TYPE_TO_TABLE[stats_type]
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return await self.db_pool.simple_select_one_onecol(
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"%s_current" % (table,),
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keyvalues={id_col: id},
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retcol="completed_delta_stream_id",
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allow_none=True,
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)
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async def bulk_update_stats_delta(
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self, ts: int, updates: Dict[str, Dict[str, Counter[str]]], stream_id: int
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) -> None:
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"""Bulk update stats tables for a given stream_id and updates the stats
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incremental position.
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Args:
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ts: Current timestamp in ms
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updates: The updates to commit as a mapping of
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stats_type -> stats_id -> field -> delta.
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stream_id: Current position.
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"""
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def _bulk_update_stats_delta_txn(txn: LoggingTransaction) -> None:
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for stats_type, stats_updates in updates.items():
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for stats_id, fields in stats_updates.items():
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logger.debug(
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"Updating %s stats for %s: %s", stats_type, stats_id, fields
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)
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self._update_stats_delta_txn(
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txn,
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ts=ts,
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stats_type=stats_type,
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stats_id=stats_id,
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fields=fields,
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complete_with_stream_id=stream_id,
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)
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self.db_pool.simple_update_one_txn(
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txn,
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table="stats_incremental_position",
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keyvalues={},
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updatevalues={"stream_id": stream_id},
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)
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await self.db_pool.runInteraction(
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"bulk_update_stats_delta", _bulk_update_stats_delta_txn
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)
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async def update_stats_delta(
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self,
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ts: int,
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stats_type: str,
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stats_id: str,
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fields: Dict[str, int],
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complete_with_stream_id: int,
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absolute_field_overrides: Optional[Dict[str, int]] = None,
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) -> None:
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"""
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Updates the statistics for a subject, with a delta (difference/relative
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change).
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Args:
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ts: timestamp of the change
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stats_type: "room" or "user" – the kind of subject
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stats_id: the subject's ID (room ID or user ID)
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fields: Deltas of stats values.
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complete_with_stream_id:
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If supplied, converts an incomplete row into a complete row,
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with the supplied stream_id marked as the stream_id where the
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row was completed.
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absolute_field_overrides: Current stats values (i.e. not deltas) of
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absolute fields. Does not work with per-slice fields.
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"""
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await self.db_pool.runInteraction(
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"update_stats_delta",
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self._update_stats_delta_txn,
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ts,
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stats_type,
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stats_id,
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fields,
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complete_with_stream_id=complete_with_stream_id,
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absolute_field_overrides=absolute_field_overrides,
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)
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def _update_stats_delta_txn(
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self,
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txn: LoggingTransaction,
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ts: int,
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stats_type: str,
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stats_id: str,
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fields: Dict[str, int],
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complete_with_stream_id: int,
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absolute_field_overrides: Optional[Dict[str, int]] = None,
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) -> None:
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if absolute_field_overrides is None:
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absolute_field_overrides = {}
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table, id_col = TYPE_TO_TABLE[stats_type]
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# Lets be paranoid and check that all the given field names are known
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abs_field_names = ABSOLUTE_STATS_FIELDS[stats_type]
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for field in chain(fields.keys(), absolute_field_overrides.keys()):
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if field not in abs_field_names:
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# guard against potential SQL injection dodginess
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raise ValueError(
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"%s is not a recognised field"
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" for stats type %s" % (field, stats_type)
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)
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# Per slice fields do not get added to the _current table
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# This calculates the deltas (`field = field + ?` values)
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# for absolute fields,
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# * defaulting to 0 if not specified
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# (required for the INSERT part of upserting to work)
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# * omitting overrides specified in `absolute_field_overrides`
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deltas_of_absolute_fields = {
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key: fields.get(key, 0)
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for key in abs_field_names
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if key not in absolute_field_overrides
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}
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# Keep the delta stream ID field up to date
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absolute_field_overrides = absolute_field_overrides.copy()
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absolute_field_overrides["completed_delta_stream_id"] = complete_with_stream_id
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# first upsert the `_current` table
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self._upsert_with_additive_relatives_txn(
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txn=txn,
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table=table + "_current",
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keyvalues={id_col: stats_id},
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absolutes=absolute_field_overrides,
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additive_relatives=deltas_of_absolute_fields,
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)
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def _upsert_with_additive_relatives_txn(
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self,
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txn: LoggingTransaction,
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table: str,
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keyvalues: Dict[str, Any],
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absolutes: Dict[str, Any],
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additive_relatives: Dict[str, int],
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) -> None:
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"""Used to update values in the stats tables.
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This is basically a slightly convoluted upsert that *adds* to any
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existing rows.
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Args:
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table: Table name
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keyvalues: Row-identifying key values
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absolutes: Absolute (set) fields
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additive_relatives: Fields that will be added onto if existing row present.
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"""
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if self.database_engine.can_native_upsert:
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absolute_updates = [
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"%(field)s = EXCLUDED.%(field)s" % {"field": field}
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for field in absolutes.keys()
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]
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relative_updates = [
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"%(field)s = EXCLUDED.%(field)s + COALESCE(%(table)s.%(field)s, 0)"
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% {"table": table, "field": field}
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for field in additive_relatives.keys()
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]
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insert_cols = []
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qargs = []
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for (key, val) in chain(
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keyvalues.items(), absolutes.items(), additive_relatives.items()
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):
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insert_cols.append(key)
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qargs.append(val)
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sql = """
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INSERT INTO %(table)s (%(insert_cols_cs)s)
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VALUES (%(insert_vals_qs)s)
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ON CONFLICT (%(key_columns)s) DO UPDATE SET %(updates)s
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""" % {
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"table": table,
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"insert_cols_cs": ", ".join(insert_cols),
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"insert_vals_qs": ", ".join(
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["?"] * (len(keyvalues) + len(absolutes) + len(additive_relatives))
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),
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"key_columns": ", ".join(keyvalues),
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"updates": ", ".join(chain(absolute_updates, relative_updates)),
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}
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txn.execute(sql, qargs)
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else:
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self.database_engine.lock_table(txn, table)
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retcols = list(chain(absolutes.keys(), additive_relatives.keys()))
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current_row = self.db_pool.simple_select_one_txn(
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txn, table, keyvalues, retcols, allow_none=True
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)
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if current_row is None:
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merged_dict = {**keyvalues, **absolutes, **additive_relatives}
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self.db_pool.simple_insert_txn(txn, table, merged_dict)
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else:
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for (key, val) in additive_relatives.items():
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if current_row[key] is None:
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current_row[key] = val
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else:
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current_row[key] += val
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current_row.update(absolutes)
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self.db_pool.simple_update_one_txn(txn, table, keyvalues, current_row)
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async def _calculate_and_set_initial_state_for_room(self, room_id: str) -> None:
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"""Calculate and insert an entry into room_stats_current.
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Args:
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room_id: The room ID under calculation.
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"""
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def _fetch_current_state_stats(
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txn: LoggingTransaction,
|
||
) -> Tuple[List[str], Dict[str, int], int, List[str], int]:
|
||
pos = self.get_room_max_stream_ordering() # type: ignore[attr-defined]
|
||
|
||
rows = self.db_pool.simple_select_many_txn(
|
||
txn,
|
||
table="current_state_events",
|
||
column="type",
|
||
iterable=[
|
||
EventTypes.Create,
|
||
EventTypes.JoinRules,
|
||
EventTypes.RoomHistoryVisibility,
|
||
EventTypes.RoomEncryption,
|
||
EventTypes.Name,
|
||
EventTypes.Topic,
|
||
EventTypes.RoomAvatar,
|
||
EventTypes.CanonicalAlias,
|
||
],
|
||
keyvalues={"room_id": room_id, "state_key": ""},
|
||
retcols=["event_id"],
|
||
)
|
||
|
||
event_ids = cast(List[str], [row["event_id"] for row in rows])
|
||
|
||
txn.execute(
|
||
"""
|
||
SELECT membership, count(*) FROM current_state_events
|
||
WHERE room_id = ? AND type = 'm.room.member'
|
||
GROUP BY membership
|
||
""",
|
||
(room_id,),
|
||
)
|
||
membership_counts = {membership: cnt for membership, cnt in txn}
|
||
|
||
txn.execute(
|
||
"""
|
||
SELECT COUNT(*) FROM current_state_events
|
||
WHERE room_id = ?
|
||
""",
|
||
(room_id,),
|
||
)
|
||
|
||
current_state_events_count = cast(Tuple[int], txn.fetchone())[0]
|
||
|
||
users_in_room = self.get_users_in_room_txn(txn, room_id) # type: ignore[attr-defined]
|
||
|
||
return (
|
||
event_ids,
|
||
membership_counts,
|
||
current_state_events_count,
|
||
users_in_room,
|
||
pos,
|
||
)
|
||
|
||
(
|
||
event_ids,
|
||
membership_counts,
|
||
current_state_events_count,
|
||
users_in_room,
|
||
pos,
|
||
) = await self.db_pool.runInteraction(
|
||
"get_initial_state_for_room", _fetch_current_state_stats
|
||
)
|
||
|
||
state_event_map = await self.get_events(event_ids, get_prev_content=False) # type: ignore[attr-defined]
|
||
|
||
room_state = {
|
||
"join_rules": None,
|
||
"history_visibility": None,
|
||
"encryption": None,
|
||
"name": None,
|
||
"topic": None,
|
||
"avatar": None,
|
||
"canonical_alias": None,
|
||
"is_federatable": True,
|
||
}
|
||
|
||
for event in state_event_map.values():
|
||
if event.type == EventTypes.JoinRules:
|
||
room_state["join_rules"] = event.content.get("join_rule")
|
||
elif event.type == EventTypes.RoomHistoryVisibility:
|
||
room_state["history_visibility"] = event.content.get(
|
||
"history_visibility"
|
||
)
|
||
elif event.type == EventTypes.RoomEncryption:
|
||
room_state["encryption"] = event.content.get("algorithm")
|
||
elif event.type == EventTypes.Name:
|
||
room_state["name"] = event.content.get("name")
|
||
elif event.type == EventTypes.Topic:
|
||
room_state["topic"] = event.content.get("topic")
|
||
elif event.type == EventTypes.RoomAvatar:
|
||
room_state["avatar"] = event.content.get("url")
|
||
elif event.type == EventTypes.CanonicalAlias:
|
||
room_state["canonical_alias"] = event.content.get("alias")
|
||
elif event.type == EventTypes.Create:
|
||
room_state["is_federatable"] = (
|
||
event.content.get(EventContentFields.FEDERATE, True) is True
|
||
)
|
||
|
||
await self.update_room_state(room_id, room_state)
|
||
|
||
local_users_in_room = [u for u in users_in_room if self.hs.is_mine_id(u)]
|
||
|
||
await self.update_stats_delta(
|
||
ts=self.clock.time_msec(),
|
||
stats_type="room",
|
||
stats_id=room_id,
|
||
fields={},
|
||
complete_with_stream_id=pos,
|
||
absolute_field_overrides={
|
||
"current_state_events": current_state_events_count,
|
||
"joined_members": membership_counts.get(Membership.JOIN, 0),
|
||
"invited_members": membership_counts.get(Membership.INVITE, 0),
|
||
"left_members": membership_counts.get(Membership.LEAVE, 0),
|
||
"banned_members": membership_counts.get(Membership.BAN, 0),
|
||
"knocked_members": membership_counts.get(Membership.KNOCK, 0),
|
||
"local_users_in_room": len(local_users_in_room),
|
||
},
|
||
)
|
||
|
||
async def _calculate_and_set_initial_state_for_user(self, user_id: str) -> None:
|
||
def _calculate_and_set_initial_state_for_user_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Tuple[int, int]:
|
||
pos = self._get_max_stream_id_in_current_state_deltas_txn(txn)
|
||
|
||
txn.execute(
|
||
"""
|
||
SELECT COUNT(distinct room_id) FROM current_state_events
|
||
WHERE type = 'm.room.member' AND state_key = ?
|
||
AND membership = 'join'
|
||
""",
|
||
(user_id,),
|
||
)
|
||
count = cast(Tuple[int], txn.fetchone())[0]
|
||
return count, pos
|
||
|
||
joined_rooms, pos = await self.db_pool.runInteraction(
|
||
"calculate_and_set_initial_state_for_user",
|
||
_calculate_and_set_initial_state_for_user_txn,
|
||
)
|
||
|
||
await self.update_stats_delta(
|
||
ts=self.clock.time_msec(),
|
||
stats_type="user",
|
||
stats_id=user_id,
|
||
fields={},
|
||
complete_with_stream_id=pos,
|
||
absolute_field_overrides={"joined_rooms": joined_rooms},
|
||
)
|
||
|
||
async def get_users_media_usage_paginate(
|
||
self,
|
||
start: int,
|
||
limit: int,
|
||
from_ts: Optional[int] = None,
|
||
until_ts: Optional[int] = None,
|
||
order_by: Optional[str] = UserSortOrder.USER_ID.value,
|
||
direction: Optional[str] = "f",
|
||
search_term: Optional[str] = None,
|
||
) -> Tuple[List[JsonDict], int]:
|
||
"""Function to retrieve a paginated list of users and their uploaded local media
|
||
(size and number). This will return a json list of users and the
|
||
total number of users matching the filter criteria.
|
||
|
||
Args:
|
||
start: offset to begin the query from
|
||
limit: number of rows to retrieve
|
||
from_ts: request only media that are created later than this timestamp (ms)
|
||
until_ts: request only media that are created earlier than this timestamp (ms)
|
||
order_by: the sort order of the returned list
|
||
direction: sort ascending or descending
|
||
search_term: a string to filter user names by
|
||
Returns:
|
||
A list of user dicts and an integer representing the total number of
|
||
users that exist given this query
|
||
"""
|
||
|
||
def get_users_media_usage_paginate_txn(
|
||
txn: LoggingTransaction,
|
||
) -> Tuple[List[JsonDict], int]:
|
||
filters = []
|
||
args = [self.hs.config.server.server_name]
|
||
|
||
if search_term:
|
||
filters.append("(lmr.user_id LIKE ? OR displayname LIKE ?)")
|
||
args.extend(["@%" + search_term + "%:%", "%" + search_term + "%"])
|
||
|
||
if from_ts:
|
||
filters.append("created_ts >= ?")
|
||
args.extend([from_ts])
|
||
if until_ts:
|
||
filters.append("created_ts <= ?")
|
||
args.extend([until_ts])
|
||
|
||
# Set ordering
|
||
if UserSortOrder(order_by) == UserSortOrder.MEDIA_LENGTH:
|
||
order_by_column = "media_length"
|
||
elif UserSortOrder(order_by) == UserSortOrder.MEDIA_COUNT:
|
||
order_by_column = "media_count"
|
||
elif UserSortOrder(order_by) == UserSortOrder.USER_ID:
|
||
order_by_column = "lmr.user_id"
|
||
elif UserSortOrder(order_by) == UserSortOrder.DISPLAYNAME:
|
||
order_by_column = "displayname"
|
||
else:
|
||
raise StoreError(
|
||
500, "Incorrect value for order_by provided: %s" % order_by
|
||
)
|
||
|
||
if direction == "b":
|
||
order = "DESC"
|
||
else:
|
||
order = "ASC"
|
||
|
||
where_clause = "WHERE " + " AND ".join(filters) if len(filters) > 0 else ""
|
||
|
||
sql_base = """
|
||
FROM local_media_repository as lmr
|
||
LEFT JOIN profiles AS p ON lmr.user_id = '@' || p.user_id || ':' || ?
|
||
{}
|
||
GROUP BY lmr.user_id, displayname
|
||
""".format(
|
||
where_clause
|
||
)
|
||
|
||
# SQLite does not support SELECT COUNT(*) OVER()
|
||
sql = """
|
||
SELECT COUNT(*) FROM (
|
||
SELECT lmr.user_id
|
||
{sql_base}
|
||
) AS count_user_ids
|
||
""".format(
|
||
sql_base=sql_base,
|
||
)
|
||
txn.execute(sql, args)
|
||
count = cast(Tuple[int], txn.fetchone())[0]
|
||
|
||
sql = """
|
||
SELECT
|
||
lmr.user_id,
|
||
displayname,
|
||
COUNT(lmr.user_id) as media_count,
|
||
SUM(media_length) as media_length
|
||
{sql_base}
|
||
ORDER BY {order_by_column} {order}
|
||
LIMIT ? OFFSET ?
|
||
""".format(
|
||
sql_base=sql_base,
|
||
order_by_column=order_by_column,
|
||
order=order,
|
||
)
|
||
|
||
args += [limit, start]
|
||
txn.execute(sql, args)
|
||
users = self.db_pool.cursor_to_dict(txn)
|
||
|
||
return users, count
|
||
|
||
return await self.db_pool.runInteraction(
|
||
"get_users_media_usage_paginate_txn", get_users_media_usage_paginate_txn
|
||
)
|