mirror of
https://mau.dev/maunium/synapse.git
synced 2024-10-01 01:36:05 -04:00
451 lines
16 KiB
Python
451 lines
16 KiB
Python
# -*- coding: utf-8 -*-
|
|
# Copyright 2018, 2019 New Vector Ltd
|
|
#
|
|
# 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 twisted.internet import defer
|
|
|
|
from synapse.api.constants import EventTypes, Membership
|
|
from synapse.storage.state_deltas import StateDeltasStore
|
|
from synapse.util.caches.descriptors import cached
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
# these fields track absolutes (e.g. total number of rooms on the server)
|
|
ABSOLUTE_STATS_FIELDS = {
|
|
"room": (
|
|
"current_state_events",
|
|
"joined_members",
|
|
"invited_members",
|
|
"left_members",
|
|
"banned_members",
|
|
"state_events",
|
|
),
|
|
"user": ("public_rooms", "private_rooms"),
|
|
}
|
|
|
|
TYPE_TO_ROOM = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}
|
|
|
|
TEMP_TABLE = "_temp_populate_stats"
|
|
|
|
|
|
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.register_background_update_handler(
|
|
"populate_stats_createtables", self._populate_stats_createtables
|
|
)
|
|
self.register_background_update_handler(
|
|
"populate_stats_process_rooms", self._populate_stats_process_rooms
|
|
)
|
|
self.register_background_update_handler(
|
|
"populate_stats_cleanup", self._populate_stats_cleanup
|
|
)
|
|
|
|
@defer.inlineCallbacks
|
|
def _populate_stats_createtables(self, progress, batch_size):
|
|
|
|
if not self.stats_enabled:
|
|
yield self._end_background_update("populate_stats_createtables")
|
|
defer.returnValue(1)
|
|
|
|
# Get all the rooms that we want to process.
|
|
def _make_staging_area(txn):
|
|
sql = (
|
|
"CREATE TABLE IF NOT EXISTS "
|
|
+ TEMP_TABLE
|
|
+ "_rooms(room_id TEXT NOT NULL, events BIGINT NOT NULL)"
|
|
)
|
|
txn.execute(sql)
|
|
|
|
sql = (
|
|
"CREATE TABLE IF NOT EXISTS "
|
|
+ TEMP_TABLE
|
|
+ "_position(position TEXT NOT NULL)"
|
|
)
|
|
txn.execute(sql)
|
|
|
|
# Get rooms we want to process from the database
|
|
sql = """
|
|
SELECT room_id, count(*) FROM current_state_events
|
|
GROUP BY room_id
|
|
"""
|
|
txn.execute(sql)
|
|
rooms = [{"room_id": x[0], "events": x[1]} for x in txn.fetchall()]
|
|
self._simple_insert_many_txn(txn, TEMP_TABLE + "_rooms", rooms)
|
|
del rooms
|
|
|
|
new_pos = yield self.get_max_stream_id_in_current_state_deltas()
|
|
yield self.runInteraction("populate_stats_temp_build", _make_staging_area)
|
|
yield self._simple_insert(TEMP_TABLE + "_position", {"position": new_pos})
|
|
self.get_earliest_token_for_room_stats.invalidate_all()
|
|
|
|
yield self._end_background_update("populate_stats_createtables")
|
|
defer.returnValue(1)
|
|
|
|
@defer.inlineCallbacks
|
|
def _populate_stats_cleanup(self, progress, batch_size):
|
|
"""
|
|
Update the user directory stream position, then clean up the old tables.
|
|
"""
|
|
if not self.stats_enabled:
|
|
yield self._end_background_update("populate_stats_cleanup")
|
|
defer.returnValue(1)
|
|
|
|
position = yield self._simple_select_one_onecol(
|
|
TEMP_TABLE + "_position", None, "position"
|
|
)
|
|
yield self.update_stats_stream_pos(position)
|
|
|
|
def _delete_staging_area(txn):
|
|
txn.execute("DROP TABLE IF EXISTS " + TEMP_TABLE + "_rooms")
|
|
txn.execute("DROP TABLE IF EXISTS " + TEMP_TABLE + "_position")
|
|
|
|
yield self.runInteraction("populate_stats_cleanup", _delete_staging_area)
|
|
|
|
yield self._end_background_update("populate_stats_cleanup")
|
|
defer.returnValue(1)
|
|
|
|
@defer.inlineCallbacks
|
|
def _populate_stats_process_rooms(self, progress, batch_size):
|
|
|
|
if not self.stats_enabled:
|
|
yield self._end_background_update("populate_stats_process_rooms")
|
|
defer.returnValue(1)
|
|
|
|
# If we don't have progress filed, delete everything.
|
|
if not progress:
|
|
yield self.delete_all_stats()
|
|
|
|
def _get_next_batch(txn):
|
|
# Only fetch 250 rooms, so we don't fetch too many at once, even
|
|
# if those 250 rooms have less than batch_size state events.
|
|
sql = """
|
|
SELECT room_id, events FROM %s_rooms
|
|
ORDER BY events DESC
|
|
LIMIT 250
|
|
""" % (
|
|
TEMP_TABLE,
|
|
)
|
|
txn.execute(sql)
|
|
rooms_to_work_on = txn.fetchall()
|
|
|
|
if not rooms_to_work_on:
|
|
return None
|
|
|
|
# Get how many are left to process, so we can give status on how
|
|
# far we are in processing
|
|
txn.execute("SELECT COUNT(*) FROM " + TEMP_TABLE + "_rooms")
|
|
progress["remaining"] = txn.fetchone()[0]
|
|
|
|
return rooms_to_work_on
|
|
|
|
rooms_to_work_on = yield self.runInteraction(
|
|
"populate_stats_temp_read", _get_next_batch
|
|
)
|
|
|
|
# No more rooms -- complete the transaction.
|
|
if not rooms_to_work_on:
|
|
yield self._end_background_update("populate_stats_process_rooms")
|
|
defer.returnValue(1)
|
|
|
|
logger.info(
|
|
"Processing the next %d rooms of %d remaining",
|
|
len(rooms_to_work_on), progress["remaining"],
|
|
)
|
|
|
|
# Number of state events we've processed by going through each room
|
|
processed_event_count = 0
|
|
|
|
for room_id, event_count in rooms_to_work_on:
|
|
|
|
current_state_ids = yield self.get_current_state_ids(room_id)
|
|
|
|
join_rules = yield self.get_event(
|
|
current_state_ids.get((EventTypes.JoinRules, "")), allow_none=True
|
|
)
|
|
history_visibility = yield self.get_event(
|
|
current_state_ids.get((EventTypes.RoomHistoryVisibility, "")),
|
|
allow_none=True,
|
|
)
|
|
encryption = yield self.get_event(
|
|
current_state_ids.get((EventTypes.RoomEncryption, "")), allow_none=True
|
|
)
|
|
name = yield self.get_event(
|
|
current_state_ids.get((EventTypes.Name, "")), allow_none=True
|
|
)
|
|
topic = yield self.get_event(
|
|
current_state_ids.get((EventTypes.Topic, "")), allow_none=True
|
|
)
|
|
avatar = yield self.get_event(
|
|
current_state_ids.get((EventTypes.RoomAvatar, "")), allow_none=True
|
|
)
|
|
canonical_alias = yield self.get_event(
|
|
current_state_ids.get((EventTypes.CanonicalAlias, "")), allow_none=True
|
|
)
|
|
|
|
def _or_none(x, arg):
|
|
if x:
|
|
return x.content.get(arg)
|
|
return None
|
|
|
|
yield self.update_room_state(
|
|
room_id,
|
|
{
|
|
"join_rules": _or_none(join_rules, "join_rule"),
|
|
"history_visibility": _or_none(
|
|
history_visibility, "history_visibility"
|
|
),
|
|
"encryption": _or_none(encryption, "algorithm"),
|
|
"name": _or_none(name, "name"),
|
|
"topic": _or_none(topic, "topic"),
|
|
"avatar": _or_none(avatar, "url"),
|
|
"canonical_alias": _or_none(canonical_alias, "alias"),
|
|
},
|
|
)
|
|
|
|
now = self.hs.get_reactor().seconds()
|
|
|
|
# quantise time to the nearest bucket
|
|
now = (now // self.stats_bucket_size) * self.stats_bucket_size
|
|
|
|
def _fetch_data(txn):
|
|
|
|
# Get the current token of the room
|
|
current_token = self._get_max_stream_id_in_current_state_deltas_txn(txn)
|
|
|
|
current_state_events = len(current_state_ids)
|
|
joined_members = self._get_user_count_in_room_txn(
|
|
txn, room_id, Membership.JOIN
|
|
)
|
|
invited_members = self._get_user_count_in_room_txn(
|
|
txn, room_id, Membership.INVITE
|
|
)
|
|
left_members = self._get_user_count_in_room_txn(
|
|
txn, room_id, Membership.LEAVE
|
|
)
|
|
banned_members = self._get_user_count_in_room_txn(
|
|
txn, room_id, Membership.BAN
|
|
)
|
|
total_state_events = self._get_total_state_event_counts_txn(
|
|
txn, room_id
|
|
)
|
|
|
|
self._update_stats_txn(
|
|
txn,
|
|
"room",
|
|
room_id,
|
|
now,
|
|
{
|
|
"bucket_size": self.stats_bucket_size,
|
|
"current_state_events": current_state_events,
|
|
"joined_members": joined_members,
|
|
"invited_members": invited_members,
|
|
"left_members": left_members,
|
|
"banned_members": banned_members,
|
|
"state_events": total_state_events,
|
|
},
|
|
)
|
|
self._simple_insert_txn(
|
|
txn,
|
|
"room_stats_earliest_token",
|
|
{"room_id": room_id, "token": current_token},
|
|
)
|
|
|
|
yield self.runInteraction("update_room_stats", _fetch_data)
|
|
|
|
# We've finished a room. Delete it from the table.
|
|
yield self._simple_delete_one(TEMP_TABLE + "_rooms", {"room_id": room_id})
|
|
# Update the remaining counter.
|
|
progress["remaining"] -= 1
|
|
yield self.runInteraction(
|
|
"populate_stats",
|
|
self._background_update_progress_txn,
|
|
"populate_stats_process_rooms",
|
|
progress,
|
|
)
|
|
|
|
processed_event_count += event_count
|
|
|
|
if processed_event_count > batch_size:
|
|
# Don't process any more rooms, we've hit our batch size.
|
|
defer.returnValue(processed_event_count)
|
|
|
|
defer.returnValue(processed_event_count)
|
|
|
|
def delete_all_stats(self):
|
|
"""
|
|
Delete all statistics records.
|
|
"""
|
|
|
|
def _delete_all_stats_txn(txn):
|
|
txn.execute("DELETE FROM room_state")
|
|
txn.execute("DELETE FROM room_stats")
|
|
txn.execute("DELETE FROM room_stats_earliest_token")
|
|
txn.execute("DELETE FROM user_stats")
|
|
|
|
return self.runInteraction("delete_all_stats", _delete_all_stats_txn)
|
|
|
|
def get_stats_stream_pos(self):
|
|
return self._simple_select_one_onecol(
|
|
table="stats_stream_pos",
|
|
keyvalues={},
|
|
retcol="stream_id",
|
|
desc="stats_stream_pos",
|
|
)
|
|
|
|
def update_stats_stream_pos(self, stream_id):
|
|
return self._simple_update_one(
|
|
table="stats_stream_pos",
|
|
keyvalues={},
|
|
updatevalues={"stream_id": stream_id},
|
|
desc="update_stats_stream_pos",
|
|
)
|
|
|
|
def update_room_state(self, room_id, fields):
|
|
"""
|
|
Args:
|
|
room_id (str)
|
|
fields (dict[str:Any])
|
|
"""
|
|
return self._simple_upsert(
|
|
table="room_state",
|
|
keyvalues={"room_id": room_id},
|
|
values=fields,
|
|
desc="update_room_state",
|
|
)
|
|
|
|
def get_deltas_for_room(self, room_id, start, size=100):
|
|
"""
|
|
Get statistics deltas for a given room.
|
|
|
|
Args:
|
|
room_id (str)
|
|
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["room"] and "ts".
|
|
"""
|
|
return self._simple_select_list_paginate(
|
|
"room_stats",
|
|
{"room_id": room_id},
|
|
"ts",
|
|
start,
|
|
size,
|
|
retcols=(list(ABSOLUTE_STATS_FIELDS["room"]) + ["ts"]),
|
|
order_direction="DESC",
|
|
)
|
|
|
|
def get_all_room_state(self):
|
|
return self._simple_select_list(
|
|
"room_state", None, retcols=("name", "topic", "canonical_alias")
|
|
)
|
|
|
|
@cached()
|
|
def get_earliest_token_for_room_stats(self, room_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]
|
|
"""
|
|
return self._simple_select_one_onecol(
|
|
"room_stats_earliest_token",
|
|
{"room_id": room_id},
|
|
retcol="token",
|
|
allow_none=True,
|
|
)
|
|
|
|
def update_stats(self, stats_type, stats_id, ts, fields):
|
|
table, id_col = TYPE_TO_ROOM[stats_type]
|
|
return self._simple_upsert(
|
|
table=table,
|
|
keyvalues={id_col: stats_id, "ts": ts},
|
|
values=fields,
|
|
desc="update_stats",
|
|
)
|
|
|
|
def _update_stats_txn(self, txn, stats_type, stats_id, ts, fields):
|
|
table, id_col = TYPE_TO_ROOM[stats_type]
|
|
return self._simple_upsert_txn(
|
|
txn, table=table, keyvalues={id_col: stats_id, "ts": ts}, values=fields
|
|
)
|
|
|
|
def update_stats_delta(self, ts, stats_type, stats_id, field, value):
|
|
def _update_stats_delta(txn):
|
|
table, id_col = TYPE_TO_ROOM[stats_type]
|
|
|
|
sql = (
|
|
"SELECT * FROM %s"
|
|
" WHERE %s=? and ts=("
|
|
" SELECT MAX(ts) FROM %s"
|
|
" WHERE %s=?"
|
|
")"
|
|
) % (table, id_col, table, id_col)
|
|
txn.execute(sql, (stats_id, stats_id))
|
|
rows = self.cursor_to_dict(txn)
|
|
if len(rows) == 0:
|
|
# silently skip as we don't have anything to apply a delta to yet.
|
|
# this tries to minimise any race between the initial sync and
|
|
# subsequent deltas arriving.
|
|
return
|
|
|
|
current_ts = ts
|
|
latest_ts = rows[0]["ts"]
|
|
if current_ts < latest_ts:
|
|
# This one is in the past, but we're just encountering it now.
|
|
# Mark it as part of the current bucket.
|
|
current_ts = latest_ts
|
|
elif ts != latest_ts:
|
|
# we have to copy our absolute counters over to the new entry.
|
|
values = {
|
|
key: rows[0][key] for key in ABSOLUTE_STATS_FIELDS[stats_type]
|
|
}
|
|
values[id_col] = stats_id
|
|
values["ts"] = ts
|
|
values["bucket_size"] = self.stats_bucket_size
|
|
|
|
self._simple_insert_txn(txn, table=table, values=values)
|
|
|
|
# actually update the new value
|
|
if stats_type in ABSOLUTE_STATS_FIELDS[stats_type]:
|
|
self._simple_update_txn(
|
|
txn,
|
|
table=table,
|
|
keyvalues={id_col: stats_id, "ts": current_ts},
|
|
updatevalues={field: value},
|
|
)
|
|
else:
|
|
sql = ("UPDATE %s SET %s=%s+? WHERE %s=? AND ts=?") % (
|
|
table,
|
|
field,
|
|
field,
|
|
id_col,
|
|
)
|
|
txn.execute(sql, (value, stats_id, current_ts))
|
|
|
|
return self.runInteraction("update_stats_delta", _update_stats_delta)
|