439 lines
17 KiB
Python
439 lines
17 KiB
Python
# Copyright 2018 New Vector
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, cast
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from synapse.metrics.background_process_metrics import wrap_as_background_process
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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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make_in_list_sql_clause,
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)
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from synapse.storage.databases.main.registration import RegistrationWorkerStore
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from synapse.util.caches.descriptors import cached
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from synapse.util.threepids import canonicalise_email
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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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# Number of msec of granularity to store the monthly_active_user timestamp
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# This means it is not necessary to update the table on every request
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LAST_SEEN_GRANULARITY = 60 * 60 * 1000
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class MonthlyActiveUsersWorkerStore(RegistrationWorkerStore):
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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._clock = hs.get_clock()
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self.hs = hs
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if hs.config.redis.redis_enabled:
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# If we're using Redis, we can shift this update process off to
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# the background worker
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self._update_on_this_worker = hs.config.worker.run_background_tasks
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else:
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# If we're NOT using Redis, this must be handled by the master
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self._update_on_this_worker = hs.get_instance_name() == "master"
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self._limit_usage_by_mau = hs.config.server.limit_usage_by_mau
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self._max_mau_value = hs.config.server.max_mau_value
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self._mau_stats_only = hs.config.server.mau_stats_only
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if self._update_on_this_worker:
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# Do not add more reserved users than the total allowable number
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self.db_pool.new_transaction(
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db_conn,
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"initialise_mau_threepids",
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[],
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[],
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[],
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self._initialise_reserved_users,
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hs.config.server.mau_limits_reserved_threepids[: self._max_mau_value],
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)
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@cached(num_args=0)
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async def get_monthly_active_count(self) -> int:
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"""Generates current count of monthly active users
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Returns:
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Number of current monthly active users
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"""
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def _count_users(txn: LoggingTransaction) -> int:
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# Exclude app service users
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sql = """
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SELECT COUNT(*)
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FROM monthly_active_users
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LEFT JOIN users
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ON monthly_active_users.user_id=users.name
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WHERE (users.appservice_id IS NULL OR users.appservice_id = '');
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"""
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txn.execute(sql)
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(count,) = cast(Tuple[int], txn.fetchone())
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return count
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return await self.db_pool.runInteraction("count_users", _count_users)
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@cached(num_args=0)
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async def get_monthly_active_count_by_service(self) -> Dict[str, int]:
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"""Generates current count of monthly active users broken down by service.
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A service is typically an appservice but also includes native matrix users.
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Since the `monthly_active_users` table is populated from the `user_ips` table
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`config.appservice.track_appservice_user_ips` must be set to `true` for this
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method to return anything other than native matrix users.
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Returns:
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A mapping between app_service_id and the number of occurrences.
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"""
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def _count_users_by_service(txn: LoggingTransaction) -> Dict[str, int]:
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sql = """
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SELECT COALESCE(appservice_id, 'native'), COUNT(*)
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FROM monthly_active_users
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LEFT JOIN users ON monthly_active_users.user_id=users.name
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GROUP BY appservice_id;
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"""
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txn.execute(sql)
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result = cast(List[Tuple[str, int]], txn.fetchall())
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return dict(result)
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return await self.db_pool.runInteraction(
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"count_users_by_service", _count_users_by_service
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)
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async def get_monthly_active_users_by_service(
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self, start_timestamp: Optional[int] = None, end_timestamp: Optional[int] = None
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) -> List[Tuple[str, str]]:
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"""Generates list of monthly active users and their services.
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Please see "get_monthly_active_count_by_service" docstring for more details
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about services.
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Arguments:
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start_timestamp: If specified, only include users that were first active
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at or after this point
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end_timestamp: If specified, only include users that were first active
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at or before this point
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Returns:
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A list of tuples (appservice_id, user_id). "native" is emitted as the
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appservice for users that don't come from appservices (i.e. native Matrix
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users).
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"""
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if start_timestamp is not None and end_timestamp is not None:
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where_clause = 'WHERE "timestamp" >= ? and "timestamp" <= ?'
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query_params = [start_timestamp, end_timestamp]
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elif start_timestamp is not None:
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where_clause = 'WHERE "timestamp" >= ?'
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query_params = [start_timestamp]
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elif end_timestamp is not None:
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where_clause = 'WHERE "timestamp" <= ?'
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query_params = [end_timestamp]
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else:
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where_clause = ""
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query_params = []
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def _list_users(txn: LoggingTransaction) -> List[Tuple[str, str]]:
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sql = f"""
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SELECT COALESCE(appservice_id, 'native'), user_id
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FROM monthly_active_users
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LEFT JOIN users ON monthly_active_users.user_id=users.name
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{where_clause};
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"""
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txn.execute(sql, query_params)
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return cast(List[Tuple[str, str]], txn.fetchall())
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return await self.db_pool.runInteraction("list_users", _list_users)
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async def get_registered_reserved_users(self) -> List[str]:
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"""Of the reserved threepids defined in config, retrieve those that are associated
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with registered users
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Returns:
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User IDs of actual users that are reserved
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"""
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users = []
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for tp in self.hs.config.server.mau_limits_reserved_threepids[
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: self.hs.config.server.max_mau_value
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]:
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user_id = await self.hs.get_datastores().main.get_user_id_by_threepid(
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tp["medium"], canonicalise_email(tp["address"])
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)
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if user_id:
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users.append(user_id)
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return users
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@cached(num_args=1)
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async def user_last_seen_monthly_active(self, user_id: str) -> Optional[int]:
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"""
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Checks if a given user is part of the monthly active user group
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Arguments:
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user_id: user to add/update
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Return:
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Timestamp since last seen, None if never seen
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"""
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return await self.db_pool.simple_select_one_onecol(
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table="monthly_active_users",
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keyvalues={"user_id": user_id},
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retcol="timestamp",
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allow_none=True,
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desc="user_last_seen_monthly_active",
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)
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@wrap_as_background_process("reap_monthly_active_users")
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async def reap_monthly_active_users(self) -> None:
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"""Cleans out monthly active user table to ensure that no stale
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entries exist.
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"""
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def _reap_users(txn: LoggingTransaction, reserved_users: List[str]) -> None:
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"""
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Args:
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reserved_users: reserved users to preserve
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"""
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thirty_days_ago = int(self._clock.time_msec()) - (1000 * 60 * 60 * 24 * 30)
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in_clause, in_clause_args = make_in_list_sql_clause(
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self.database_engine, "user_id", reserved_users
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)
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txn.execute(
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"DELETE FROM monthly_active_users WHERE timestamp < ? AND NOT %s"
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% (in_clause,),
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[thirty_days_ago] + in_clause_args,
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)
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if self._limit_usage_by_mau:
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# If MAU user count still exceeds the MAU threshold, then delete on
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# a least recently active basis.
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# Note it is not possible to write this query using OFFSET due to
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# incompatibilities in how sqlite and postgres support the feature.
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# Sqlite requires 'LIMIT -1 OFFSET ?', the LIMIT must be present,
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# while Postgres does not require 'LIMIT', but also does not support
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# negative LIMIT values. So there is no way to write it that both can
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# support
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# Limit must be >= 0 for postgres
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num_of_non_reserved_users_to_remove = max(
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self._max_mau_value - len(reserved_users), 0
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)
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# It is important to filter reserved users twice to guard
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# against the case where the reserved user is present in the
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# SELECT, meaning that a legitimate mau is deleted.
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sql = """
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DELETE FROM monthly_active_users
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WHERE user_id NOT IN (
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SELECT user_id FROM monthly_active_users
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WHERE NOT %s
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ORDER BY timestamp DESC
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LIMIT ?
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)
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AND NOT %s
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""" % (
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in_clause,
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in_clause,
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)
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query_args = (
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in_clause_args
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+ [num_of_non_reserved_users_to_remove]
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+ in_clause_args
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)
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txn.execute(sql, query_args)
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# It seems poor to invalidate the whole cache. Postgres supports
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# 'Returning' which would allow me to invalidate only the
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# specific users, but sqlite has no way to do this and instead
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# I would need to SELECT and the DELETE which without locking
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# is racy.
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# Have resolved to invalidate the whole cache for now and do
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# something about it if and when the perf becomes significant
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self._invalidate_all_cache_and_stream(
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txn, self.user_last_seen_monthly_active
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)
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self._invalidate_cache_and_stream(txn, self.get_monthly_active_count, ())
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reserved_users = await self.get_registered_reserved_users()
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await self.db_pool.runInteraction(
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"reap_monthly_active_users", _reap_users, reserved_users
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)
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def _initialise_reserved_users(
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self, txn: LoggingTransaction, threepids: List[dict]
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) -> None:
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"""Ensures that reserved threepids are accounted for in the MAU table, should
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be called on start up.
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Args:
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txn:
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threepids: List of threepid dicts to reserve
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"""
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assert (
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self._update_on_this_worker
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), "This worker is not designated to update MAUs"
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# XXX what is this function trying to achieve? It upserts into
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# monthly_active_users for each *registered* reserved mau user, but why?
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#
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# - shouldn't there already be an entry for each reserved user (at least
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# if they have been active recently)?
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#
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# - if it's important that the timestamp is kept up to date, why do we only
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# run this at startup?
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for tp in threepids:
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user_id = self.get_user_id_by_threepid_txn(txn, tp["medium"], tp["address"])
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if user_id:
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is_support = self.is_support_user_txn(txn, user_id)
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if not is_support:
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# We do this manually here to avoid hitting #6791
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self.db_pool.simple_upsert_txn(
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txn,
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table="monthly_active_users",
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keyvalues={"user_id": user_id},
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values={"timestamp": int(self._clock.time_msec())},
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)
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else:
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logger.warning("mau limit reserved threepid %s not found in db" % tp)
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async def upsert_monthly_active_user(self, user_id: str) -> None:
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"""Updates or inserts the user into the monthly active user table, which
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is used to track the current MAU usage of the server
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Args:
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user_id: user to add/update
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"""
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assert (
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self._update_on_this_worker
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), "This worker is not designated to update MAUs"
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# Support user never to be included in MAU stats. Note I can't easily call this
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# from upsert_monthly_active_user_txn because then I need a _txn form of
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# is_support_user which is complicated because I want to cache the result.
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# Therefore I call it here and ignore the case where
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# upsert_monthly_active_user_txn is called directly from
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# _initialise_reserved_users reasoning that it would be very strange to
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# include a support user in this context.
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is_support = await self.is_support_user(user_id)
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if is_support:
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return
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await self.db_pool.runInteraction(
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"upsert_monthly_active_user", self.upsert_monthly_active_user_txn, user_id
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)
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def upsert_monthly_active_user_txn(
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self, txn: LoggingTransaction, user_id: str
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) -> None:
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"""Updates or inserts monthly active user member
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We consciously do not call is_support_txn from this method because it
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is not possible to cache the response. is_support_txn will be false in
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almost all cases, so it seems reasonable to call it only for
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upsert_monthly_active_user and to call is_support_txn manually
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for cases where upsert_monthly_active_user_txn is called directly,
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like _initialise_reserved_users
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In short, don't call this method with support users. (Support users
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should not appear in the MAU stats).
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Args:
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txn:
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user_id: user to add/update
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"""
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assert (
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self._update_on_this_worker
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), "This worker is not designated to update MAUs"
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# Am consciously deciding to lock the table on the basis that is ought
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# never be a big table and alternative approaches (batching multiple
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# upserts into a single txn) introduced a lot of extra complexity.
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# See https://github.com/matrix-org/synapse/issues/3854 for more
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self.db_pool.simple_upsert_txn(
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txn,
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table="monthly_active_users",
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keyvalues={"user_id": user_id},
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values={"timestamp": int(self._clock.time_msec())},
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)
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self._invalidate_cache_and_stream(txn, self.get_monthly_active_count, ())
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self._invalidate_cache_and_stream(
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txn, self.get_monthly_active_count_by_service, ()
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)
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self._invalidate_cache_and_stream(
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txn, self.user_last_seen_monthly_active, (user_id,)
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)
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async def populate_monthly_active_users(self, user_id: str) -> None:
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"""Checks on the state of monthly active user limits and optionally
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add the user to the monthly active tables
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Args:
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user_id: the user_id to query
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"""
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assert (
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self._update_on_this_worker
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), "This worker is not designated to update MAUs"
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if self._limit_usage_by_mau or self._mau_stats_only:
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# Trial users and guests should not be included as part of MAU group
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is_guest = await self.is_guest(user_id)
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if is_guest:
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return
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is_trial = await self.is_trial_user(user_id)
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if is_trial:
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return
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last_seen_timestamp = await self.user_last_seen_monthly_active(user_id)
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now = self.hs.get_clock().time_msec()
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# We want to reduce to the total number of db writes, and are happy
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# to trade accuracy of timestamp in order to lighten load. This means
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# We always insert new users (where MAU threshold has not been reached),
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# but only update if we have not previously seen the user for
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# LAST_SEEN_GRANULARITY ms
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if last_seen_timestamp is None:
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# In the case where mau_stats_only is True and limit_usage_by_mau is
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# False, there is no point in checking get_monthly_active_count - it
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# adds no value and will break the logic if max_mau_value is exceeded.
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if not self._limit_usage_by_mau:
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await self.upsert_monthly_active_user(user_id)
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else:
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count = await self.get_monthly_active_count()
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if count < self._max_mau_value:
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await self.upsert_monthly_active_user(user_id)
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elif now - last_seen_timestamp > LAST_SEEN_GRANULARITY:
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await self.upsert_monthly_active_user(user_id)
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