mirror of
https://mau.dev/maunium/synapse.git
synced 2024-08-24 03:05:48 +00:00
5d92a1428c
`StatsHandler` handles updates to the `current_state_delta_stream`, and updates room stats such as the amount of state events, joined users, etc. However, it counts every new join membership as a new user entering a room (and that user being in another room), whereas it's possible for a user's membership status to go from join -> join, for instance when they change their per-room profile information. This PR adds a check for join->join membership transitions, and bails out early, as none of the further checks are necessary at that point. Due to this bug, membership stats in many rooms have ended up being wildly larger than their true values. I am not sure if we also want to include a migration step which recalculates these statistics (possibly using the `_populate_stats_process_rooms` bg update). Bug introduced in the initial implementation https://github.com/matrix-org/synapse/pull/4338.
879 lines
31 KiB
Python
879 lines
31 KiB
Python
# -*- 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 typing import Tuple
|
||
|
||
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.database import Database
|
||
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, database: Database, db_conn, hs):
|
||
super(StatsStore, self).__init__(database, 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.db.updates.register_background_update_handler(
|
||
"populate_stats_process_rooms", self._populate_stats_process_rooms
|
||
)
|
||
self.db.updates.register_background_update_handler(
|
||
"populate_stats_process_rooms_2", self._populate_stats_process_rooms_2
|
||
)
|
||
self.db.updates.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.db.updates.register_noop_background_update("populate_stats_cleanup")
|
||
self.db.updates.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
|
||
|
||
async def _populate_stats_process_users(self, progress, batch_size):
|
||
"""
|
||
This is a background update which regenerates statistics for users.
|
||
"""
|
||
if not self.stats_enabled:
|
||
await self.db.updates._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 = await self.db.runInteraction(
|
||
"_populate_stats_process_users", _get_next_batch
|
||
)
|
||
|
||
# No more rooms -- complete the transaction.
|
||
if not users_to_work_on:
|
||
await self.db.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.runInteraction(
|
||
"populate_stats_process_users",
|
||
self.db.updates._background_update_progress_txn,
|
||
"populate_stats_process_users",
|
||
progress,
|
||
)
|
||
|
||
return len(users_to_work_on)
|
||
|
||
async def _populate_stats_process_rooms(self, progress, batch_size):
|
||
"""
|
||
This was a background update which regenerated statistics for rooms.
|
||
|
||
It has been replaced by StatsStore._populate_stats_process_rooms_2. This background
|
||
job has been scheduled to run as part of Synapse v1.0.0, and again now. To ensure
|
||
someone upgrading from <v1.0.0, this background task has been turned into a no-op
|
||
so that the potentially expensive task is not run twice.
|
||
|
||
Further context: https://github.com/matrix-org/synapse/pull/7977
|
||
"""
|
||
await self.db.updates._end_background_update("populate_stats_process_rooms")
|
||
return 1
|
||
|
||
async def _populate_stats_process_rooms_2(self, progress, batch_size):
|
||
"""
|
||
This is a background update which regenerates statistics for rooms.
|
||
|
||
It replaces StatsStore._populate_stats_process_rooms. See its docstring for the
|
||
reasoning.
|
||
"""
|
||
if not self.stats_enabled:
|
||
await self.db.updates._end_background_update(
|
||
"populate_stats_process_rooms_2"
|
||
)
|
||
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 = await self.db.runInteraction(
|
||
"populate_stats_rooms_2_get_batch", _get_next_batch
|
||
)
|
||
|
||
# No more rooms -- complete the transaction.
|
||
if not rooms_to_work_on:
|
||
await self.db.updates._end_background_update(
|
||
"populate_stats_process_rooms_2"
|
||
)
|
||
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.runInteraction(
|
||
"_populate_stats_process_rooms_2",
|
||
self.db.updates._background_update_progress_txn,
|
||
"populate_stats_process_rooms_2",
|
||
progress,
|
||
)
|
||
|
||
return len(rooms_to_work_on)
|
||
|
||
def get_stats_positions(self):
|
||
"""
|
||
Returns the stats processor positions.
|
||
"""
|
||
return self.db.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.db.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.db.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.db.simple_select_list_paginate_txn(
|
||
txn,
|
||
table + "_historical",
|
||
"end_ts",
|
||
start,
|
||
size,
|
||
retcols=selected_columns + ["bucket_size", "end_ts"],
|
||
keyvalues={id_col: stats_id},
|
||
order_direction="DESC",
|
||
)
|
||
|
||
return slice_list
|
||
|
||
@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.db.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.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.simple_update_one_txn(
|
||
txn,
|
||
table="stats_incremental_position",
|
||
keyvalues={},
|
||
updatevalues={"stream_id": stream_id},
|
||
)
|
||
|
||
return self.db.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.db.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.db.simple_select_one_txn(
|
||
txn, table, keyvalues, retcols, allow_none=True
|
||
)
|
||
if current_row is None:
|
||
merged_dict = {**keyvalues, **absolutes, **additive_relatives}
|
||
self.db.simple_insert_txn(txn, table, merged_dict)
|
||
else:
|
||
for (key, val) in additive_relatives.items():
|
||
current_row[key] += val
|
||
current_row.update(absolutes)
|
||
self.db.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.db.simple_select_one_txn(
|
||
txn, src_table, keyvalues, copy_columns
|
||
)
|
||
all_dest_keyvalues = {**keyvalues, **extra_dst_keyvalues}
|
||
dest_current_row = self.db.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.db.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.db.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.db.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
|
||
|
||
async def _calculate_and_set_initial_state_for_room(
|
||
self, room_id: str
|
||
) -> Tuple[dict, dict, int]:
|
||
"""Calculate and insert an entry into room_stats_current.
|
||
|
||
Args:
|
||
room_id: The room ID under calculation.
|
||
|
||
Returns:
|
||
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.db.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 = [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,
|
||
) = await self.db.runInteraction(
|
||
"get_initial_state_for_room", _fetch_current_state_stats
|
||
)
|
||
|
||
state_event_map = await 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.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("m.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),
|
||
"local_users_in_room": len(local_users_in_room),
|
||
},
|
||
)
|
||
|
||
async 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 = await self.db.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},
|
||
)
|