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Diffstat (limited to 'synapse/storage/data_stores/main/stats.py')
| -rw-r--r-- | synapse/storage/data_stores/main/stats.py | 881 |
1 files changed, 881 insertions, 0 deletions
diff --git a/synapse/storage/data_stores/main/stats.py b/synapse/storage/data_stores/main/stats.py new file mode 100644 index 0000000000..5ab639b2ad --- /dev/null +++ b/synapse/storage/data_stores/main/stats.py @@ -0,0 +1,881 @@ +# -*- coding: utf-8 -*- +# 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 itertools import chain + +from twisted.internet import defer +from twisted.internet.defer import DeferredLock + +from synapse.api.constants import EventTypes, Membership +from synapse.storage.data_stores.main.state_deltas import StateDeltasStore +from synapse.storage.engines import PostgresEngine +from synapse.util.caches.descriptors import cached + +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", + "left_members", + "banned_members", + "local_users_in_room", + ), + "user": ("joined_rooms",), +} + +# these fields are per-timeslice and so should be reset to 0 upon a new slice +# You can draw these stats on a histogram. +# Example: number of events sent locally during a time slice +PER_SLICE_FIELDS = { + "room": ("total_events", "total_event_bytes"), + "user": ("invites_sent", "rooms_created", "total_events", "total_event_bytes"), +} + +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 StatsStore(StateDeltasStore): + def __init__(self, db_conn, hs): + super(StatsStore, self).__init__(db_conn, hs) + + self.server_name = hs.hostname + self.clock = self.hs.get_clock() + self.stats_enabled = hs.config.stats_enabled + self.stats_bucket_size = hs.config.stats_bucket_size + + self.stats_delta_processing_lock = DeferredLock() + + self.register_background_update_handler( + "populate_stats_process_rooms", self._populate_stats_process_rooms + ) + self.register_background_update_handler( + "populate_stats_process_users", self._populate_stats_process_users + ) + # we no longer need to perform clean-up, but we will give ourselves + # the potential to reintroduce it in the future – so documentation + # will still encourage the use of this no-op handler. + self.register_noop_background_update("populate_stats_cleanup") + self.register_noop_background_update("populate_stats_prepare") + + def quantise_stats_time(self, ts): + """ + Quantises a timestamp to be a multiple of the bucket size. + + Args: + ts (int): the timestamp to quantise, in milliseconds since the Unix + Epoch + + Returns: + int: a timestamp which + - is divisible by the bucket size; + - is no later than `ts`; and + - is the largest such timestamp. + """ + return (ts // self.stats_bucket_size) * self.stats_bucket_size + + @defer.inlineCallbacks + def _populate_stats_process_users(self, progress, batch_size): + """ + This is a background update which regenerates statistics for users. + """ + if not self.stats_enabled: + yield self._end_background_update("populate_stats_process_users") + return 1 + + last_user_id = progress.get("last_user_id", "") + + def _get_next_batch(txn): + 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 = yield self.runInteraction( + "_populate_stats_process_users", _get_next_batch + ) + + # No more rooms -- complete the transaction. + if not users_to_work_on: + yield self._end_background_update("populate_stats_process_users") + return 1 + + for user_id in users_to_work_on: + yield self._calculate_and_set_initial_state_for_user(user_id) + progress["last_user_id"] = user_id + + yield self.runInteraction( + "populate_stats_process_users", + self._background_update_progress_txn, + "populate_stats_process_users", + progress, + ) + + return len(users_to_work_on) + + @defer.inlineCallbacks + def _populate_stats_process_rooms(self, progress, batch_size): + """ + This is a background update which regenerates statistics for rooms. + """ + if not self.stats_enabled: + yield self._end_background_update("populate_stats_process_rooms") + return 1 + + last_room_id = progress.get("last_room_id", "") + + def _get_next_batch(txn): + 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 = yield self.runInteraction( + "populate_stats_rooms_get_batch", _get_next_batch + ) + + # No more rooms -- complete the transaction. + if not rooms_to_work_on: + yield self._end_background_update("populate_stats_process_rooms") + return 1 + + for room_id in rooms_to_work_on: + yield self._calculate_and_set_initial_state_for_room(room_id) + progress["last_room_id"] = room_id + + yield self.runInteraction( + "_populate_stats_process_rooms", + self._background_update_progress_txn, + "populate_stats_process_rooms", + progress, + ) + + return len(rooms_to_work_on) + + def get_stats_positions(self): + """ + Returns the stats processor positions. + """ + return self._simple_select_one_onecol( + table="stats_incremental_position", + keyvalues={}, + retcol="stream_id", + desc="stats_incremental_position", + ) + + def update_room_state(self, room_id, fields): + """ + Args: + room_id (str) + fields (dict[str:Any]) + """ + + # For whatever reason some of the fields may contain null bytes, which + # postgres isn't a fan of, so we replace those fields with null. + for col in ( + "join_rules", + "history_visibility", + "encryption", + "name", + "topic", + "avatar", + "canonical_alias", + ): + field = fields.get(col) + if field and "\0" in field: + fields[col] = None + + return self._simple_upsert( + table="room_stats_state", + keyvalues={"room_id": room_id}, + values=fields, + desc="update_room_state", + ) + + def get_statistics_for_subject(self, stats_type, stats_id, start, size=100): + """ + Get statistics for a given subject. + + Args: + stats_type (str): The type of subject + stats_id (str): The ID of the subject (e.g. room_id or user_id) + start (int): Pagination start. Number of entries, not timestamp. + size (int): How many entries to return. + + Returns: + Deferred[list[dict]], where the dict has the keys of + ABSOLUTE_STATS_FIELDS[stats_type], and "bucket_size" and "end_ts". + """ + return self.runInteraction( + "get_statistics_for_subject", + self._get_statistics_for_subject_txn, + stats_type, + stats_id, + start, + size, + ) + + def _get_statistics_for_subject_txn( + self, txn, stats_type, stats_id, start, size=100 + ): + """ + Transaction-bound version of L{get_statistics_for_subject}. + """ + + table, id_col = TYPE_TO_TABLE[stats_type] + selected_columns = list( + ABSOLUTE_STATS_FIELDS[stats_type] + PER_SLICE_FIELDS[stats_type] + ) + + slice_list = self._simple_select_list_paginate_txn( + txn, + table + "_historical", + {id_col: stats_id}, + "end_ts", + start, + size, + retcols=selected_columns + ["bucket_size", "end_ts"], + order_direction="DESC", + ) + + return slice_list + + def get_room_stats_state(self, room_id): + """ + Returns the current room_stats_state for a room. + + Args: + room_id (str): The ID of the room to return state for. + + Returns (dict): + Dictionary containing these keys: + "name", "topic", "canonical_alias", "avatar", "join_rules", + "history_visibility" + """ + return self._simple_select_one( + "room_stats_state", + {"room_id": room_id}, + retcols=( + "name", + "topic", + "canonical_alias", + "avatar", + "join_rules", + "history_visibility", + ), + ) + + @cached() + def get_earliest_token_for_stats(self, stats_type, id): + """ + 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: + Deferred[int] + """ + table, id_col = TYPE_TO_TABLE[stats_type] + + return self._simple_select_one_onecol( + "%s_current" % (table,), + keyvalues={id_col: id}, + retcol="completed_delta_stream_id", + allow_none=True, + ) + + def bulk_update_stats_delta(self, ts, updates, stream_id): + """Bulk update stats tables for a given stream_id and updates the stats + incremental position. + + Args: + ts (int): Current timestamp in ms + updates(dict[str, dict[str, dict[str, Counter]]]): The updates to + commit as a mapping stats_type -> stats_id -> field -> delta. + stream_id (int): Current position. + + Returns: + Deferred + """ + + def _bulk_update_stats_delta_txn(txn): + for stats_type, stats_updates in updates.items(): + for stats_id, fields in stats_updates.items(): + logger.info( + "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._simple_update_one_txn( + txn, + table="stats_incremental_position", + keyvalues={}, + updatevalues={"stream_id": stream_id}, + ) + + return self.runInteraction( + "bulk_update_stats_delta", _bulk_update_stats_delta_txn + ) + + def update_stats_delta( + self, + ts, + stats_type, + stats_id, + fields, + complete_with_stream_id, + absolute_field_overrides=None, + ): + """ + Updates the statistics for a subject, with a delta (difference/relative + change). + + Args: + ts (int): timestamp of the change + stats_type (str): "room" or "user" – the kind of subject + stats_id (str): the subject's ID (room ID or user ID) + fields (dict[str, int]): Deltas of stats values. + complete_with_stream_id (int, optional): + 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 (dict[str, int]): Current stats values + (i.e. not deltas) of absolute fields. + Does not work with per-slice fields. + """ + + return self.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, + ts, + stats_type, + stats_id, + fields, + complete_with_stream_id, + absolute_field_overrides=None, + ): + if absolute_field_overrides is None: + absolute_field_overrides = {} + + table, id_col = TYPE_TO_TABLE[stats_type] + + quantised_ts = self.quantise_stats_time(int(ts)) + end_ts = quantised_ts + self.stats_bucket_size + + # Lets be paranoid and check that all the given field names are known + abs_field_names = ABSOLUTE_STATS_FIELDS[stats_type] + slice_field_names = PER_SLICE_FIELDS[stats_type] + for field in chain(fields.keys(), absolute_field_overrides.keys()): + if field not in abs_field_names and field not in slice_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, + ) + + per_slice_additive_relatives = { + key: fields.get(key, 0) for key in slice_field_names + } + self._upsert_copy_from_table_with_additive_relatives_txn( + txn=txn, + into_table=table + "_historical", + keyvalues={id_col: stats_id}, + extra_dst_insvalues={"bucket_size": self.stats_bucket_size}, + extra_dst_keyvalues={"end_ts": end_ts}, + additive_relatives=per_slice_additive_relatives, + src_table=table + "_current", + copy_columns=abs_field_names, + ) + + def _upsert_with_additive_relatives_txn( + self, txn, table, keyvalues, absolutes, additive_relatives + ): + """Used to update values in the stats tables. + + This is basically a slightly convoluted upsert that *adds* to any + existing rows. + + Args: + txn + table (str): Table name + keyvalues (dict[str, any]): Row-identifying key values + absolutes (dict[str, any]): Absolute (set) fields + additive_relatives (dict[str, int]): Fields that will be added onto + if existing row present. + """ + if self.database_engine.can_native_upsert: + absolute_updates = [ + "%(field)s = EXCLUDED.%(field)s" % {"field": field} + for field in absolutes.keys() + ] + + relative_updates = [ + "%(field)s = EXCLUDED.%(field)s + %(table)s.%(field)s" + % {"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) + else: + self.database_engine.lock_table(txn, table) + retcols = list(chain(absolutes.keys(), additive_relatives.keys())) + current_row = self._simple_select_one_txn( + txn, table, keyvalues, retcols, allow_none=True + ) + if current_row is None: + merged_dict = {**keyvalues, **absolutes, **additive_relatives} + self._simple_insert_txn(txn, table, merged_dict) + else: + for (key, val) in additive_relatives.items(): + current_row[key] += val + current_row.update(absolutes) + self._simple_update_one_txn(txn, table, keyvalues, current_row) + + def _upsert_copy_from_table_with_additive_relatives_txn( + self, + txn, + into_table, + keyvalues, + extra_dst_keyvalues, + extra_dst_insvalues, + additive_relatives, + src_table, + copy_columns, + ): + """Updates the historic stats table with latest updates. + + This involves copying "absolute" fields from the `_current` table, and + adding relative fields to any existing values. + + Args: + txn: Transaction + into_table (str): The destination table to UPSERT the row into + keyvalues (dict[str, any]): Row-identifying key values + extra_dst_keyvalues (dict[str, any]): Additional keyvalues + for `into_table`. + extra_dst_insvalues (dict[str, any]): Additional values to insert + on new row creation for `into_table`. + additive_relatives (dict[str, any]): Fields that will be added onto + if existing row present. (Must be disjoint from copy_columns.) + src_table (str): The source table to copy from + copy_columns (iterable[str]): The list of columns to copy + """ + if self.database_engine.can_native_upsert: + ins_columns = chain( + keyvalues, + copy_columns, + additive_relatives, + extra_dst_keyvalues, + extra_dst_insvalues, + ) + sel_exprs = chain( + keyvalues, + copy_columns, + ( + "?" + for _ in chain( + additive_relatives, extra_dst_keyvalues, extra_dst_insvalues + ) + ), + ) + keyvalues_where = ("%s = ?" % f for f in keyvalues) + + sets_cc = ("%s = EXCLUDED.%s" % (f, f) for f in copy_columns) + sets_ar = ( + "%s = EXCLUDED.%s + %s.%s" % (f, f, into_table, f) + for f in additive_relatives + ) + + sql = """ + INSERT INTO %(into_table)s (%(ins_columns)s) + SELECT %(sel_exprs)s + FROM %(src_table)s + WHERE %(keyvalues_where)s + ON CONFLICT (%(keyvalues)s) + DO UPDATE SET %(sets)s + """ % { + "into_table": into_table, + "ins_columns": ", ".join(ins_columns), + "sel_exprs": ", ".join(sel_exprs), + "keyvalues_where": " AND ".join(keyvalues_where), + "src_table": src_table, + "keyvalues": ", ".join( + chain(keyvalues.keys(), extra_dst_keyvalues.keys()) + ), + "sets": ", ".join(chain(sets_cc, sets_ar)), + } + + qargs = list( + chain( + additive_relatives.values(), + extra_dst_keyvalues.values(), + extra_dst_insvalues.values(), + keyvalues.values(), + ) + ) + txn.execute(sql, qargs) + else: + self.database_engine.lock_table(txn, into_table) + src_row = self._simple_select_one_txn( + txn, src_table, keyvalues, copy_columns + ) + all_dest_keyvalues = {**keyvalues, **extra_dst_keyvalues} + dest_current_row = self._simple_select_one_txn( + txn, + into_table, + keyvalues=all_dest_keyvalues, + retcols=list(chain(additive_relatives.keys(), copy_columns)), + allow_none=True, + ) + + if dest_current_row is None: + merged_dict = { + **keyvalues, + **extra_dst_keyvalues, + **extra_dst_insvalues, + **src_row, + **additive_relatives, + } + self._simple_insert_txn(txn, into_table, merged_dict) + else: + for (key, val) in additive_relatives.items(): + src_row[key] = dest_current_row[key] + val + self._simple_update_txn(txn, into_table, all_dest_keyvalues, src_row) + + def get_changes_room_total_events_and_bytes(self, min_pos, max_pos): + """Fetches the counts of events in the given range of stream IDs. + + Args: + min_pos (int) + max_pos (int) + + Returns: + Deferred[dict[str, dict[str, int]]]: Mapping of room ID to field + changes. + """ + + return self.runInteraction( + "stats_incremental_total_events_and_bytes", + self.get_changes_room_total_events_and_bytes_txn, + min_pos, + max_pos, + ) + + def get_changes_room_total_events_and_bytes_txn(self, txn, low_pos, high_pos): + """Gets the total_events and total_event_bytes counts for rooms and + senders, in a range of stream_orderings (including backfilled events). + + Args: + txn + low_pos (int): Low stream ordering + high_pos (int): High stream ordering + + Returns: + tuple[dict[str, dict[str, int]], dict[str, dict[str, int]]]: The + room and user deltas for total_events/total_event_bytes in the + format of `stats_id` -> fields + """ + + if low_pos >= high_pos: + # nothing to do here. + return {}, {} + + if isinstance(self.database_engine, PostgresEngine): + new_bytes_expression = "OCTET_LENGTH(json)" + else: + new_bytes_expression = "LENGTH(CAST(json AS BLOB))" + + sql = """ + SELECT events.room_id, COUNT(*) AS new_events, SUM(%s) AS new_bytes + FROM events INNER JOIN event_json USING (event_id) + WHERE (? < stream_ordering AND stream_ordering <= ?) + OR (? <= stream_ordering AND stream_ordering <= ?) + GROUP BY events.room_id + """ % ( + new_bytes_expression, + ) + + txn.execute(sql, (low_pos, high_pos, -high_pos, -low_pos)) + + room_deltas = { + room_id: {"total_events": new_events, "total_event_bytes": new_bytes} + for room_id, new_events, new_bytes in txn + } + + sql = """ + SELECT events.sender, COUNT(*) AS new_events, SUM(%s) AS new_bytes + FROM events INNER JOIN event_json USING (event_id) + WHERE (? < stream_ordering AND stream_ordering <= ?) + OR (? <= stream_ordering AND stream_ordering <= ?) + GROUP BY events.sender + """ % ( + new_bytes_expression, + ) + + txn.execute(sql, (low_pos, high_pos, -high_pos, -low_pos)) + + user_deltas = { + user_id: {"total_events": new_events, "total_event_bytes": new_bytes} + for user_id, new_events, new_bytes in txn + if self.hs.is_mine_id(user_id) + } + + return room_deltas, user_deltas + + @defer.inlineCallbacks + def _calculate_and_set_initial_state_for_room(self, room_id): + """Calculate and insert an entry into room_stats_current. + + Args: + room_id (str) + + Returns: + Deferred[tuple[dict, dict, int]]: A tuple of room state, membership + counts and stream position. + """ + + def _fetch_current_state_stats(txn): + pos = self.get_room_max_stream_ordering() + + rows = self._simple_select_many_txn( + txn, + table="current_state_events", + column="type", + iterable=[ + EventTypes.Create, + EventTypes.JoinRules, + EventTypes.RoomHistoryVisibility, + EventTypes.Encryption, + EventTypes.Name, + EventTypes.Topic, + EventTypes.RoomAvatar, + EventTypes.CanonicalAlias, + ], + keyvalues={"room_id": room_id, "state_key": ""}, + retcols=["event_id"], + ) + + event_ids = [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 COALESCE(count(*), 0) FROM current_state_events + WHERE room_id = ? + """, + (room_id,), + ) + + current_state_events_count, = txn.fetchone() + + users_in_room = self.get_users_in_room_txn(txn, room_id) + + 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, + ) = yield self.runInteraction( + "get_initial_state_for_room", _fetch_current_state_stats + ) + + state_event_map = yield self.get_events(event_ids, get_prev_content=False) + + 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.Encryption: + 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("m.federate", True) is True + ) + + yield 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)] + + yield 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), + "local_users_in_room": len(local_users_in_room), + }, + ) + + @defer.inlineCallbacks + def _calculate_and_set_initial_state_for_user(self, user_id): + def _calculate_and_set_initial_state_for_user_txn(txn): + 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, = txn.fetchone() + return count, pos + + joined_rooms, pos = yield self.runInteraction( + "calculate_and_set_initial_state_for_user", + _calculate_and_set_initial_state_for_user_txn, + ) + + yield 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}, + ) |