Merge pull request #5889 from matrix-org/rei/rss_inc2

Separated Statistics [2/7ish]
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reivilibre 2019-08-28 09:49:38 +01:00 committed by GitHub
commit cc66cf1238
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6 changed files with 460 additions and 13 deletions

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@ -27,19 +27,16 @@ class StatsConfig(Config):
def read_config(self, config, **kwargs):
self.stats_enabled = True
self.stats_bucket_size = 86400
self.stats_bucket_size = 86400 * 1000
self.stats_retention = sys.maxsize
stats_config = config.get("stats", None)
if stats_config:
self.stats_enabled = stats_config.get("enabled", self.stats_enabled)
self.stats_bucket_size = (
self.parse_duration(stats_config.get("bucket_size", "1d")) / 1000
self.stats_bucket_size = self.parse_duration(
stats_config.get("bucket_size", "1d")
)
self.stats_retention = (
self.parse_duration(
stats_config.get("retention", "%ds" % (sys.maxsize,))
)
/ 1000
self.stats_retention = self.parse_duration(
stats_config.get("retention", "%ds" % (sys.maxsize,))
)
def generate_config_section(self, config_dir_path, server_name, **kwargs):

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@ -2270,8 +2270,9 @@ class EventsStore(
"room_aliases",
"room_depth",
"room_memberships",
"room_state",
"room_stats",
"room_stats_state",
"room_stats_current",
"room_stats_historical",
"room_stats_earliest_token",
"rooms",
"stream_ordering_to_exterm",

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@ -31,3 +31,112 @@ DELETE FROM background_updates WHERE update_name IN (
'populate_stats_process_rooms',
'populate_stats_cleanup'
);
----- Create tables for our version of room stats.
-- single-row table to track position of incremental updates
CREATE TABLE IF NOT EXISTS stats_incremental_position (
-- the stream_id of the last-processed state delta
state_delta_stream_id BIGINT,
-- the stream_ordering of the last-processed backfilled event
-- (this is negative)
total_events_min_stream_ordering BIGINT,
-- the stream_ordering of the last-processed normally-created event
-- (this is positive)
total_events_max_stream_ordering BIGINT,
-- If true, this represents the contract agreed upon by the stats
-- regenerator.
-- If false, this is suitable for use by the delta/incremental processor.
is_background_contract BOOLEAN NOT NULL PRIMARY KEY
);
-- insert a null row and make sure it is the only one.
DELETE FROM stats_incremental_position;
INSERT INTO stats_incremental_position (
state_delta_stream_id,
total_events_min_stream_ordering,
total_events_max_stream_ordering,
is_background_contract
) VALUES (NULL, NULL, NULL, (0 = 1)), (NULL, NULL, NULL, (1 = 1));
-- represents PRESENT room statistics for a room
-- only holds absolute fields
CREATE TABLE IF NOT EXISTS room_stats_current (
room_id TEXT NOT NULL PRIMARY KEY,
current_state_events INT NOT NULL,
total_events INT NOT NULL,
joined_members INT NOT NULL,
invited_members INT NOT NULL,
left_members INT NOT NULL,
banned_members INT NOT NULL,
-- If initial stats regen is still to be performed: NULL
-- If initial stats regen has been performed: the maximum delta stream
-- position that this row takes into account.
completed_delta_stream_id BIGINT
);
-- represents HISTORICAL room statistics for a room
CREATE TABLE IF NOT EXISTS room_stats_historical (
room_id TEXT NOT NULL,
-- These stats cover the time from (end_ts - bucket_size)...end_ts (in ms).
-- Note that end_ts is quantised.
end_ts BIGINT NOT NULL,
bucket_size INT NOT NULL,
current_state_events INT NOT NULL,
total_events INT NOT NULL,
joined_members INT NOT NULL,
invited_members INT NOT NULL,
left_members INT NOT NULL,
banned_members INT NOT NULL,
PRIMARY KEY (room_id, end_ts)
);
-- We use this index to speed up deletion of ancient room stats.
CREATE INDEX IF NOT EXISTS room_stats_historical_end_ts ON room_stats_historical (end_ts);
-- We don't need an index on (room_id, end_ts) because PRIMARY KEY sorts that
-- out for us. (We would want it to review stats for a particular room.)
-- represents PRESENT statistics for a user
-- only holds absolute fields
CREATE TABLE IF NOT EXISTS user_stats_current (
user_id TEXT NOT NULL PRIMARY KEY,
public_rooms INT NOT NULL,
private_rooms INT NOT NULL,
-- If initial stats regen is still to be performed: NULL
-- If initial stats regen has been performed: the maximum delta stream
-- position that this row takes into account.
completed_delta_stream_id BIGINT
);
-- represents HISTORICAL statistics for a user
CREATE TABLE IF NOT EXISTS user_stats_historical (
user_id TEXT NOT NULL,
end_ts BIGINT NOT NULL,
bucket_size INT NOT NULL,
public_rooms INT NOT NULL,
private_rooms INT NOT NULL,
PRIMARY KEY (user_id, end_ts)
);
-- We use this index to speed up deletion of ancient user stats.
CREATE INDEX IF NOT EXISTS user_stats_historical_end_ts ON user_stats_historical (end_ts);
-- We don't need an index on (user_id, end_ts) because PRIMARY KEY sorts that
-- out for us. (We would want it to review stats for a particular user.)
-- Also rename room_state to room_stats_state to make its ownership clear.
ALTER TABLE room_state RENAME TO room_stats_state;

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@ -0,0 +1,24 @@
/* 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.
*/
-- These partial indices helps us with finding incomplete stats row
CREATE INDEX IF NOT EXISTS room_stats_not_complete
ON room_stats_current (room_id)
WHERE completed_delta_stream_id IS NULL;
CREATE INDEX IF NOT EXISTS user_stats_not_complete
ON user_stats_current (user_id)
WHERE completed_delta_stream_id IS NULL;

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@ -0,0 +1,27 @@
/* 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.
*/
-- even though SQLite >= 3.8 can support partial indices, we won't enable
-- them, in case the SQLite database may be later used on another system.
-- It's also the case that SQLite is only likely to be used in small
-- deployments or testing, where the optimisations gained by use of a
-- partial index are not a big concern.
CREATE INDEX IF NOT EXISTS room_stats_not_complete
ON room_stats_current (completed_delta_stream_id, room_id);
CREATE INDEX IF NOT EXISTS user_stats_not_complete
ON user_stats_current (completed_delta_stream_id, user_id);

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@ -1,5 +1,6 @@
# -*- 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.
@ -14,12 +15,16 @@
# limitations under the License.
import logging
from itertools import chain
from synapse.storage.state_deltas import StateDeltasStore
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",
@ -27,12 +32,17 @@ ABSOLUTE_STATS_FIELDS = {
"invited_members",
"left_members",
"banned_members",
"state_events",
"total_events",
),
"user": ("public_rooms", "private_rooms"),
}
TYPE_TO_ROOM = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}
# 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": (), "user": ()}
TYPE_TO_TABLE = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}
class StatsStore(StateDeltasStore):
@ -48,6 +58,22 @@ class StatsStore(StateDeltasStore):
self.register_noop_background_update("populate_stats_process_rooms")
self.register_noop_background_update("populate_stats_cleanup")
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
def update_room_state(self, room_id, fields):
"""
Args:
@ -71,8 +97,271 @@ class StatsStore(StateDeltasStore):
fields[col] = None
return self._simple_upsert(
table="room_state",
table="room_stats_state",
keyvalues={"room_id": room_id},
values=fields,
desc="update_room_state",
)
def update_stats_delta(
self, ts, stats_type, stats_id, fields, complete_with_stream_id=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.
"""
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,
)
def _update_stats_delta_txn(
self,
txn,
ts,
stats_type,
stats_id,
fields,
complete_with_stream_id=None,
absolute_field_overrides=None,
):
"""
See L{update_stats_delta}
Additional Args:
absolute_field_overrides (dict[str, int]): Current stats values
(i.e. not deltas) of absolute fields.
Does not work with per-slice fields.
"""
table, id_col = TYPE_TO_TABLE[stats_type]
quantised_ts = self.quantise_stats_time(int(ts))
end_ts = quantised_ts + self.stats_bucket_size
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)
)
# only absolute stats fields are tracked in the `_current` stats tables,
# so those are the only ones that we process deltas for when
# we upsert against 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
}
if absolute_field_overrides is None:
absolute_field_overrides = {}
if complete_with_stream_id is not None:
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,
)
if self.has_completed_background_updates():
# TODO want to check specifically for stats regenerator, not all
# background updates…
# then upsert the `_historical` table.
# we don't support absolute_fields for per-slice fields as it makes
# no sense.
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_keyvalues={
"end_ts": end_ts,
"bucket_size": self.stats_bucket_size,
},
additive_relatives=per_slice_additive_relatives,
src_table=table + "_current",
copy_columns=abs_field_names,
additional_where=" AND completed_delta_stream_id IS NOT NULL",
)
def _upsert_with_additive_relatives_txn(
self, txn, table, keyvalues, absolutes, additive_relatives
):
"""Used to update values in the stats tables.
Args:
txn: Transaction
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 = [table]
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 DO UPDATE SET %(updates)s
""" % {
"table": table,
"insert_cols_cs": ", ".join(insert_cols),
"insert_vals_qs": ", ".join(
["?"] * (len(keyvalues) + len(absolutes) + len(additive_relatives))
),
"updates": ", ".join(chain(absolute_updates, relative_updates)),
}
txn.execute(sql, qargs)
else:
self.database_engine.lock_table(txn, table)
retcols = 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,
additive_relatives,
src_table,
copy_columns,
additional_where="",
):
"""
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`.
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
additional_where (str): Additional SQL for where (prefix with AND
if using).
"""
if self.database_engine.can_native_upsert:
ins_columns = chain(
keyvalues, copy_columns, additive_relatives, extra_dst_keyvalues
)
sel_exprs = chain(
keyvalues,
copy_columns,
("?" for _ in chain(additive_relatives, extra_dst_keyvalues)),
)
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 copy_columns
)
sql = """
INSERT INTO %(into_table)s (%(ins_columns)s)
SELECT %(sel_exprs)s
FROM %(src_table)s
WHERE %(keyvalues_where)s %(additional_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)),
"additional_where": additional_where,
}
qargs = chain(additive_relatives.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
)
dest_current_row = self._simple_select_one_txn(
txn,
into_table,
keyvalues,
chain(additive_relatives.keys(), copy_columns),
allow_none=True,
)
if dest_current_row is None:
merged_dict = {**keyvalues, **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, keyvalues, src_row)