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synapse-old/synapse/storage/databases/main/stats.py

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# Copyright 2018, 2019 New Vector Ltd
# Copyright 2019 The Matrix.org Foundation C.I.C.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
from enum import Enum
from itertools import chain
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union, cast
from typing_extensions import Counter
from twisted.internet.defer import DeferredLock
from synapse.api.constants import EventContentFields, EventTypes, Membership
from synapse.api.errors import StoreError
from synapse.storage.database import (
DatabasePool,
LoggingDatabaseConnection,
LoggingTransaction,
)
from synapse.storage.databases.main.state_deltas import StateDeltasStore
from synapse.types import JsonDict
from synapse.util.caches.descriptors import cached
if TYPE_CHECKING:
from synapse.server import HomeServer
logger = logging.getLogger(__name__)
# these fields track absolutes (e.g. total number of rooms on the server)
# You can think of these as Prometheus Gauges.
# You can draw these stats on a line graph.
# Example: number of users in a room
ABSOLUTE_STATS_FIELDS = {
"room": (
"current_state_events",
"joined_members",
"invited_members",
"knocked_members",
"left_members",
"banned_members",
"local_users_in_room",
),
"user": ("joined_rooms",),
}
TYPE_TO_TABLE = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}
# these are the tables (& ID columns) which contain our actual subjects
TYPE_TO_ORIGIN_TABLE = {"room": ("rooms", "room_id"), "user": ("users", "name")}
class UserSortOrder(Enum):
"""
Enum to define the sorting method used when returning users
with get_users_paginate in __init__.py
and get_users_media_usage_paginate in stats.py
When moves this to __init__.py gets `builtins.ImportError` with
`most likely due to a circular import`
MEDIA_LENGTH = ordered by size of uploaded media.
MEDIA_COUNT = ordered by number of uploaded media.
USER_ID = ordered alphabetically by `user_id`.
NAME = ordered alphabetically by `user_id`. This is for compatibility reasons,
as the user_id is returned in the name field in the response in list users admin API.
DISPLAYNAME = ordered alphabetically by `displayname`
GUEST = ordered by `is_guest`
ADMIN = ordered by `admin`
DEACTIVATED = ordered by `deactivated`
USER_TYPE = ordered alphabetically by `user_type`
AVATAR_URL = ordered alphabetically by `avatar_url`
SHADOW_BANNED = ordered by `shadow_banned`
CREATION_TS = ordered by `creation_ts`
"""
MEDIA_LENGTH = "media_length"
MEDIA_COUNT = "media_count"
USER_ID = "user_id"
NAME = "name"
DISPLAYNAME = "displayname"
GUEST = "is_guest"
ADMIN = "admin"
DEACTIVATED = "deactivated"
USER_TYPE = "user_type"
AVATAR_URL = "avatar_url"
SHADOW_BANNED = "shadow_banned"
CREATION_TS = "creation_ts"
class StatsStore(StateDeltasStore):
def __init__(
self,
database: DatabasePool,
db_conn: LoggingDatabaseConnection,
hs: "HomeServer",
):
super().__init__(database, db_conn, hs)
self.server_name: str = hs.hostname
self.clock = self.hs.get_clock()
self.stats_enabled = hs.config.stats.stats_enabled
self.stats_delta_processing_lock = DeferredLock()
self.db_pool.updates.register_background_update_handler(
"populate_stats_process_rooms", self._populate_stats_process_rooms
)
self.db_pool.updates.register_background_update_handler(
"populate_stats_process_users", self._populate_stats_process_users
)
async def _populate_stats_process_users(
self, progress: JsonDict, batch_size: int
) -> int:
"""
This is a background update which regenerates statistics for users.
"""
if not self.stats_enabled:
await self.db_pool.updates._end_background_update(
"populate_stats_process_users"
)
return 1
last_user_id = progress.get("last_user_id", "")
def _get_next_batch(txn: LoggingTransaction) -> List[str]:
sql = """
SELECT DISTINCT name FROM users
WHERE name > ?
ORDER BY name ASC
LIMIT ?
"""
txn.execute(sql, (last_user_id, batch_size))
return [r for r, in txn]
users_to_work_on = await self.db_pool.runInteraction(
"_populate_stats_process_users", _get_next_batch
)
# No more rooms -- complete the transaction.
if not users_to_work_on:
await self.db_pool.updates._end_background_update(
"populate_stats_process_users"
)
return 1
for user_id in users_to_work_on:
await self._calculate_and_set_initial_state_for_user(user_id)
progress["last_user_id"] = user_id
await self.db_pool.runInteraction(
"populate_stats_process_users",
self.db_pool.updates._background_update_progress_txn,
"populate_stats_process_users",
progress,
)
return len(users_to_work_on)
async def _populate_stats_process_rooms(
self, progress: JsonDict, batch_size: int
) -> int:
"""This is a background update which regenerates statistics for rooms."""
if not self.stats_enabled:
await self.db_pool.updates._end_background_update(
"populate_stats_process_rooms"
)
return 1
last_room_id = progress.get("last_room_id", "")
def _get_next_batch(txn: LoggingTransaction) -> List[str]:
sql = """
SELECT DISTINCT room_id FROM current_state_events
WHERE room_id > ?
ORDER BY room_id ASC
LIMIT ?
"""
txn.execute(sql, (last_room_id, batch_size))
return [r for r, in txn]
rooms_to_work_on = await self.db_pool.runInteraction(
"populate_stats_rooms_get_batch", _get_next_batch
)
# No more rooms -- complete the transaction.
if not rooms_to_work_on:
await self.db_pool.updates._end_background_update(
"populate_stats_process_rooms"
)
return 1
for room_id in rooms_to_work_on:
await self._calculate_and_set_initial_state_for_room(room_id)
progress["last_room_id"] = room_id
await self.db_pool.runInteraction(
"_populate_stats_process_rooms",
self.db_pool.updates._background_update_progress_txn,
"populate_stats_process_rooms",
progress,
)
return len(rooms_to_work_on)
async def get_stats_positions(self) -> int:
"""
Returns the stats processor positions.
"""
return await self.db_pool.simple_select_one_onecol(
table="stats_incremental_position",
keyvalues={},
retcol="stream_id",
desc="stats_incremental_position",
)
async def update_room_state(self, room_id: str, fields: Dict[str, Any]) -> None:
"""Update the state of a room.
fields can contain the following keys with string values:
* join_rules
* history_visibility
* encryption
* name
* topic
* avatar
* canonical_alias
* guest_access
* room_type
A is_federatable key can also be included with a boolean value.
Args:
room_id: The room ID to update the state of.
fields: The fields to update. This can include a partial list of the
above fields to only update some room information.
"""
# Ensure that the values to update are valid, they should be strings and
# not contain any null bytes.
#
# Invalid data gets overwritten with null.
#
# Note that a missing value should not be overwritten (it keeps the
# previous value).
sentinel = object()
for col in (
"join_rules",
"history_visibility",
"encryption",
"name",
"topic",
"avatar",
"canonical_alias",
"guest_access",
"room_type",
):
field = fields.get(col, sentinel)
if field is not sentinel and (not isinstance(field, str) or "\0" in field):
fields[col] = None
await self.db_pool.simple_upsert(
table="room_stats_state",
keyvalues={"room_id": room_id},
values=fields,
desc="update_room_state",
)
@cached()
async def get_earliest_token_for_stats(
self, stats_type: str, id: str
) -> Optional[int]:
"""
Fetch the "earliest token". This is used by the room stats delta
processor to ignore deltas that have been processed between the
start of the background task and any particular room's stats
being calculated.
Returns:
The earliest token.
"""
table, id_col = TYPE_TO_TABLE[stats_type]
return await self.db_pool.simple_select_one_onecol(
"%s_current" % (table,),
keyvalues={id_col: id},
retcol="completed_delta_stream_id",
allow_none=True,
desc="get_earliest_token_for_stats",
)
async def bulk_update_stats_delta(
self, ts: int, updates: Dict[str, Dict[str, Counter[str]]], stream_id: int
) -> None:
"""Bulk update stats tables for a given stream_id and updates the stats
incremental position.
Args:
ts: Current timestamp in ms
updates: The updates to commit as a mapping of
stats_type -> stats_id -> field -> delta.
stream_id: Current position.
"""
def _bulk_update_stats_delta_txn(txn: LoggingTransaction) -> None:
for stats_type, stats_updates in updates.items():
for stats_id, fields in stats_updates.items():
logger.debug(
"Updating %s stats for %s: %s", stats_type, stats_id, fields
)
self._update_stats_delta_txn(
txn,
ts=ts,
stats_type=stats_type,
stats_id=stats_id,
fields=fields,
complete_with_stream_id=stream_id,
)
self.db_pool.simple_update_one_txn(
txn,
table="stats_incremental_position",
keyvalues={},
updatevalues={"stream_id": stream_id},
)
await self.db_pool.runInteraction(
"bulk_update_stats_delta", _bulk_update_stats_delta_txn
)
async def update_stats_delta(
self,
ts: int,
stats_type: str,
stats_id: str,
fields: Dict[str, int],
complete_with_stream_id: int,
absolute_field_overrides: Optional[Dict[str, int]] = None,
) -> None:
"""
Updates the statistics for a subject, with a delta (difference/relative
change).
Args:
ts: timestamp of the change
stats_type: "room" or "user" – the kind of subject
stats_id: the subject's ID (room ID or user ID)
fields: Deltas of stats values.
complete_with_stream_id:
If supplied, converts an incomplete row into a complete row,
with the supplied stream_id marked as the stream_id where the
row was completed.
absolute_field_overrides: Current stats values (i.e. not deltas) of
absolute fields. Does not work with per-slice fields.
"""
await self.db_pool.runInteraction(
"update_stats_delta",
self._update_stats_delta_txn,
ts,
stats_type,
stats_id,
fields,
complete_with_stream_id=complete_with_stream_id,
absolute_field_overrides=absolute_field_overrides,
)
def _update_stats_delta_txn(
self,
txn: LoggingTransaction,
ts: int,
stats_type: str,
stats_id: str,
fields: Dict[str, int],
complete_with_stream_id: int,
absolute_field_overrides: Optional[Dict[str, int]] = None,
) -> None:
if absolute_field_overrides is None:
absolute_field_overrides = {}
table, id_col = TYPE_TO_TABLE[stats_type]
# Lets be paranoid and check that all the given field names are known
abs_field_names = ABSOLUTE_STATS_FIELDS[stats_type]
for field in chain(fields.keys(), absolute_field_overrides.keys()):
if field not in abs_field_names:
# guard against potential SQL injection dodginess
raise ValueError(
"%s is not a recognised field"
" for stats type %s" % (field, stats_type)
)
# Per slice fields do not get added to the _current table
# This calculates the deltas (`field = field + ?` values)
# for absolute fields,
# * defaulting to 0 if not specified
# (required for the INSERT part of upserting to work)
# * omitting overrides specified in `absolute_field_overrides`
deltas_of_absolute_fields = {
key: fields.get(key, 0)
for key in abs_field_names
if key not in absolute_field_overrides
}
# Keep the delta stream ID field up to date
absolute_field_overrides = absolute_field_overrides.copy()
absolute_field_overrides["completed_delta_stream_id"] = complete_with_stream_id
# first upsert the `_current` table
self._upsert_with_additive_relatives_txn(
txn=txn,
table=table + "_current",
keyvalues={id_col: stats_id},
absolutes=absolute_field_overrides,
additive_relatives=deltas_of_absolute_fields,
)
def _upsert_with_additive_relatives_txn(
self,
txn: LoggingTransaction,
table: str,
keyvalues: Dict[str, Any],
absolutes: Dict[str, Any],
additive_relatives: Dict[str, int],
) -> None:
"""Used to update values in the stats tables.
This is basically a slightly convoluted upsert that *adds* to any
existing rows.
Args:
table: Table name
keyvalues: Row-identifying key values
absolutes: Absolute (set) fields
additive_relatives: Fields that will be added onto if existing row present.
"""
absolute_updates = [
"%(field)s = EXCLUDED.%(field)s" % {"field": field}
for field in absolutes.keys()
]
relative_updates = [
"%(field)s = EXCLUDED.%(field)s + COALESCE(%(table)s.%(field)s, 0)"
% {"table": table, "field": field}
for field in additive_relatives.keys()
]
insert_cols = []
qargs = []
for (key, val) in chain(
keyvalues.items(), absolutes.items(), additive_relatives.items()
):
insert_cols.append(key)
qargs.append(val)
sql = """
INSERT INTO %(table)s (%(insert_cols_cs)s)
VALUES (%(insert_vals_qs)s)
ON CONFLICT (%(key_columns)s) DO UPDATE SET %(updates)s
""" % {
"table": table,
"insert_cols_cs": ", ".join(insert_cols),
"insert_vals_qs": ", ".join(
["?"] * (len(keyvalues) + len(absolutes) + len(additive_relatives))
),
"key_columns": ", ".join(keyvalues),
"updates": ", ".join(chain(absolute_updates, relative_updates)),
}
txn.execute(sql, qargs)
async def _calculate_and_set_initial_state_for_room(self, room_id: str) -> None:
"""Calculate and insert an entry into room_stats_current.
Args:
room_id: The room ID under calculation.
"""
def _fetch_current_state_stats(
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: Dict[str, Union[None, bool, str]] = {
"join_rules": None,
"history_visibility": None,
"encryption": None,
"name": None,
"topic": None,
"avatar": None,
"canonical_alias": None,
"is_federatable": True,
"room_type": None,
}
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
)
room_type = event.content.get(EventContentFields.ROOM_TYPE)
if isinstance(room_type, str):
room_state["room_type"] = room_type
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
)
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