synapse-product/synapse/storage/databases/main/metrics.py
Richard van der Hoff 20e7c4de26 Add an improved "forward extremities" metric
Hopefully, N(extremities) * N(state_events) is a more realistic approximation
to "how big a problem is this room?".
2020-09-30 16:49:15 +01:00

140 lines
5.2 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2020 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.
from synapse.metrics import GaugeBucketCollector
from synapse.metrics.background_process_metrics import run_as_background_process
from synapse.storage._base import SQLBaseStore
from synapse.storage.database import DatabasePool
from synapse.storage.databases.main.event_push_actions import (
EventPushActionsWorkerStore,
)
# Collect metrics on the number of forward extremities that exist.
_extremities_collecter = GaugeBucketCollector(
"synapse_forward_extremities",
"Number of rooms on the server with the given number of forward extremities"
" or fewer",
buckets=[1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500],
)
# we also expose metrics on the "number of excess extremity events", which is
# (E-1)*N, where E is the number of extremities and N is the number of state
# events in the room. This is an approximation to the number of state events
# we could remove from state resolution by reducing the graph to a single
# forward extremity.
_excess_state_events_collecter = GaugeBucketCollector(
"synapse_excess_extremity_events",
"Number of rooms on the server with the given number of excess extremity "
"events, or fewer",
buckets=[0] + [1 << n for n in range(12)],
)
class ServerMetricsStore(EventPushActionsWorkerStore, SQLBaseStore):
"""Functions to pull various metrics from the DB, for e.g. phone home
stats and prometheus metrics.
"""
def __init__(self, database: DatabasePool, db_conn, hs):
super().__init__(database, db_conn, hs)
# Read the extrems every 60 minutes
def read_forward_extremities():
# run as a background process to make sure that the database transactions
# have a logcontext to report to
return run_as_background_process(
"read_forward_extremities", self._read_forward_extremities
)
hs.get_clock().looping_call(read_forward_extremities, 60 * 60 * 1000)
async def _read_forward_extremities(self):
def fetch(txn):
txn.execute(
"""
SELECT t1.c, t2.c
FROM (
SELECT room_id, COUNT(*) c FROM event_forward_extremities
GROUP BY room_id
) t1 LEFT JOIN (
SELECT room_id, COUNT(*) c FROM current_state_events
GROUP BY room_id
) t2 ON t1.room_id = t2.room_id
"""
)
return txn.fetchall()
res = await self.db_pool.runInteraction("read_forward_extremities", fetch)
_extremities_collecter.update_data(x[0] for x in res)
_excess_state_events_collecter.update_data(
(x[0] - 1) * x[1] for x in res if x[1]
)
async def count_daily_messages(self):
"""
Returns an estimate of the number of messages sent in the last day.
If it has been significantly less or more than one day since the last
call to this function, it will return None.
"""
def _count_messages(txn):
sql = """
SELECT COALESCE(COUNT(*), 0) FROM events
WHERE type = 'm.room.message'
AND stream_ordering > ?
"""
txn.execute(sql, (self.stream_ordering_day_ago,))
(count,) = txn.fetchone()
return count
return await self.db_pool.runInteraction("count_messages", _count_messages)
async def count_daily_sent_messages(self):
def _count_messages(txn):
# This is good enough as if you have silly characters in your own
# hostname then thats your own fault.
like_clause = "%:" + self.hs.hostname
sql = """
SELECT COALESCE(COUNT(*), 0) FROM events
WHERE type = 'm.room.message'
AND sender LIKE ?
AND stream_ordering > ?
"""
txn.execute(sql, (like_clause, self.stream_ordering_day_ago))
(count,) = txn.fetchone()
return count
return await self.db_pool.runInteraction(
"count_daily_sent_messages", _count_messages
)
async def count_daily_active_rooms(self):
def _count(txn):
sql = """
SELECT COALESCE(COUNT(DISTINCT room_id), 0) FROM events
WHERE type = 'm.room.message'
AND stream_ordering > ?
"""
txn.execute(sql, (self.stream_ordering_day_ago,))
(count,) = txn.fetchone()
return count
return await self.db_pool.runInteraction("count_daily_active_rooms", _count)