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anonymousland-synapse/synapse/storage/state.py
Matthew Hodgson 254fb430d1 incorporate review
2018-07-23 19:21:20 +01:00

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# -*- coding: utf-8 -*-
# Copyright 2014-2016 OpenMarket 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 collections import namedtuple
from six import iteritems, itervalues
from six.moves import range
from twisted.internet import defer
from synapse.storage.background_updates import BackgroundUpdateStore
from synapse.storage.engines import PostgresEngine
from synapse.util.caches import get_cache_factor_for, intern_string
from synapse.util.caches.descriptors import cached, cachedList
from synapse.util.caches.dictionary_cache import DictionaryCache
from synapse.util.stringutils import to_ascii
from ._base import SQLBaseStore
logger = logging.getLogger(__name__)
MAX_STATE_DELTA_HOPS = 100
class _GetStateGroupDelta(namedtuple("_GetStateGroupDelta", ("prev_group", "delta_ids"))):
"""Return type of get_state_group_delta that implements __len__, which lets
us use the itrable flag when caching
"""
__slots__ = []
def __len__(self):
return len(self.delta_ids) if self.delta_ids else 0
class StateGroupWorkerStore(SQLBaseStore):
"""The parts of StateGroupStore that can be called from workers.
"""
STATE_GROUP_DEDUPLICATION_UPDATE_NAME = "state_group_state_deduplication"
STATE_GROUP_INDEX_UPDATE_NAME = "state_group_state_type_index"
CURRENT_STATE_INDEX_UPDATE_NAME = "current_state_members_idx"
def __init__(self, db_conn, hs):
super(StateGroupWorkerStore, self).__init__(db_conn, hs)
self._state_group_cache = DictionaryCache(
"*stateGroupCache*", 500000 * get_cache_factor_for("stateGroupCache")
)
@cached(max_entries=100000, iterable=True)
def get_current_state_ids(self, room_id):
"""Get the current state event ids for a room based on the
current_state_events table.
Args:
room_id (str)
Returns:
deferred: dict of (type, state_key) -> event_id
"""
def _get_current_state_ids_txn(txn):
txn.execute(
"""SELECT type, state_key, event_id FROM current_state_events
WHERE room_id = ?
""",
(room_id,)
)
return {
(intern_string(r[0]), intern_string(r[1])): to_ascii(r[2]) for r in txn
}
return self.runInteraction(
"get_current_state_ids",
_get_current_state_ids_txn,
)
@cached(max_entries=10000, iterable=True)
def get_state_group_delta(self, state_group):
"""Given a state group try to return a previous group and a delta between
the old and the new.
Returns:
(prev_group, delta_ids), where both may be None.
"""
def _get_state_group_delta_txn(txn):
prev_group = self._simple_select_one_onecol_txn(
txn,
table="state_group_edges",
keyvalues={
"state_group": state_group,
},
retcol="prev_state_group",
allow_none=True,
)
if not prev_group:
return _GetStateGroupDelta(None, None)
delta_ids = self._simple_select_list_txn(
txn,
table="state_groups_state",
keyvalues={
"state_group": state_group,
},
retcols=("type", "state_key", "event_id",)
)
return _GetStateGroupDelta(prev_group, {
(row["type"], row["state_key"]): row["event_id"]
for row in delta_ids
})
return self.runInteraction(
"get_state_group_delta",
_get_state_group_delta_txn,
)
@defer.inlineCallbacks
def get_state_groups_ids(self, room_id, event_ids):
if not event_ids:
defer.returnValue({})
event_to_groups = yield self._get_state_group_for_events(
event_ids,
)
groups = set(itervalues(event_to_groups))
group_to_state = yield self._get_state_for_groups(groups)
defer.returnValue(group_to_state)
@defer.inlineCallbacks
def get_state_ids_for_group(self, state_group):
"""Get the state IDs for the given state group
Args:
state_group (int)
Returns:
Deferred[dict]: Resolves to a map of (type, state_key) -> event_id
"""
group_to_state = yield self._get_state_for_groups((state_group,))
defer.returnValue(group_to_state[state_group])
@defer.inlineCallbacks
def get_state_groups(self, room_id, event_ids):
""" Get the state groups for the given list of event_ids
The return value is a dict mapping group names to lists of events.
"""
if not event_ids:
defer.returnValue({})
group_to_ids = yield self.get_state_groups_ids(room_id, event_ids)
state_event_map = yield self.get_events(
[
ev_id for group_ids in itervalues(group_to_ids)
for ev_id in itervalues(group_ids)
],
get_prev_content=False
)
defer.returnValue({
group: [
state_event_map[v] for v in itervalues(event_id_map)
if v in state_event_map
]
for group, event_id_map in iteritems(group_to_ids)
})
@defer.inlineCallbacks
def _get_state_groups_from_groups(self, groups, types, filtered_types=None):
"""Returns the state groups for a given set of groups, filtering on
types of state events.
Args:
groups(list[int]): list of state group IDs to query
types (Iterable[str, str|None]|None): list of 2-tuples of the form
(`type`, `state_key`), where a `state_key` of `None` matches all
state_keys for the `type`. If None, all types are returned.
filtered_types(Iterable[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
Returns:
dictionary state_group -> (dict of (type, state_key) -> event id)
"""
results = {}
chunks = [groups[i:i + 100] for i in range(0, len(groups), 100)]
for chunk in chunks:
res = yield self.runInteraction(
"_get_state_groups_from_groups",
self._get_state_groups_from_groups_txn, chunk, types, filtered_types,
)
results.update(res)
defer.returnValue(results)
def _get_state_groups_from_groups_txn(
self, txn, groups, types=None, filtered_types=None,
):
results = {group: {} for group in groups}
if types is not None:
types = list(set(types)) # deduplicate types list
if isinstance(self.database_engine, PostgresEngine):
# Temporarily disable sequential scans in this transaction. This is
# a temporary hack until we can add the right indices in
txn.execute("SET LOCAL enable_seqscan=off")
# The below query walks the state_group tree so that the "state"
# table includes all state_groups in the tree. It then joins
# against `state_groups_state` to fetch the latest state.
# It assumes that previous state groups are always numerically
# lesser.
# The PARTITION is used to get the event_id in the greatest state
# group for the given type, state_key.
# This may return multiple rows per (type, state_key), but last_value
# should be the same.
sql = ("""
WITH RECURSIVE state(state_group) AS (
VALUES(?::bigint)
UNION ALL
SELECT prev_state_group FROM state_group_edges e, state s
WHERE s.state_group = e.state_group
)
SELECT type, state_key, last_value(event_id) OVER (
PARTITION BY type, state_key ORDER BY state_group ASC
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
) AS event_id FROM state_groups_state
WHERE state_group IN (
SELECT state_group FROM state
)
%s
""")
# Turns out that postgres doesn't like doing a list of OR's and
# is about 1000x slower, so we just issue a query for each specific
# type seperately.
if types:
clause_to_args = [
(
"AND type = ? AND state_key = ?",
(etype, state_key)
) if state_key is not None else (
"AND type = ?",
(etype,)
)
for etype, state_key in types
]
if filtered_types is not None:
# XXX: check whether this slows postgres down like a list of
# ORs does too?
unique_types = set(filtered_types)
clause_to_args.append(
(
"AND type <> ? " * len(unique_types),
list(unique_types)
)
)
else:
# If types is None we fetch all the state, and so just use an
# empty where clause with no extra args.
clause_to_args = [("", [])]
for where_clause, where_args in clause_to_args:
for group in groups:
args = [group]
args.extend(where_args)
txn.execute(sql % (where_clause,), args)
for row in txn:
typ, state_key, event_id = row
key = (typ, state_key)
results[group][key] = event_id
else:
where_args = []
where_clauses = []
wildcard_types = False
if types is not None:
for typ in types:
if typ[1] is None:
where_clauses.append("(type = ?)")
where_args.append(typ[0])
wildcard_types = True
else:
where_clauses.append("(type = ? AND state_key = ?)")
where_args.extend([typ[0], typ[1]])
if filtered_types is not None:
unique_types = set(filtered_types)
where_clauses.append(
"(" + " AND ".join(["type <> ?"] * len(unique_types)) + ")"
)
where_args.extend(list(unique_types))
where_clause = "AND (%s)" % (" OR ".join(where_clauses))
else:
where_clause = ""
# We don't use WITH RECURSIVE on sqlite3 as there are distributions
# that ship with an sqlite3 version that doesn't support it (e.g. wheezy)
for group in groups:
next_group = group
while next_group:
# We did this before by getting the list of group ids, and
# then passing that list to sqlite to get latest event for
# each (type, state_key). However, that was terribly slow
# without the right indices (which we can't add until
# after we finish deduping state, which requires this func)
args = [next_group]
if types:
args.extend(where_args)
txn.execute(
"SELECT type, state_key, event_id FROM state_groups_state"
" WHERE state_group = ? %s" % (where_clause,),
args
)
results[group].update(
((typ, state_key), event_id)
for typ, state_key, event_id in txn
if (typ, state_key) not in results[group]
)
# If the number of entries in the (type,state_key)->event_id dict
# matches the number of (type,state_keys) types we were searching
# for, then we must have found them all, so no need to go walk
# further down the tree... UNLESS our types filter contained
# wildcards (i.e. Nones) in which case we have to do an exhaustive
# search
if (
types is not None and
not wildcard_types and
len(results[group]) == len(types)
):
break
next_group = self._simple_select_one_onecol_txn(
txn,
table="state_group_edges",
keyvalues={"state_group": next_group},
retcol="prev_state_group",
allow_none=True,
)
return results
@defer.inlineCallbacks
def get_state_for_events(self, event_ids, types, filtered_types=None):
"""Given a list of event_ids and type tuples, return a list of state
dicts for each event. The state dicts will only have the type/state_keys
that are in the `types` list.
Args:
event_ids (list[string])
types (list[(str, str|None)]|None): List of (type, state_key) tuples
which are used to filter the state fetched. If `state_key` is None,
all events are returned of the given type.
May be None, which matches any key.
filtered_types(list[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
Returns:
deferred: A list of dicts corresponding to the event_ids given.
The dicts are mappings from (type, state_key) -> state_events
"""
event_to_groups = yield self._get_state_group_for_events(
event_ids,
)
groups = set(itervalues(event_to_groups))
group_to_state = yield self._get_state_for_groups(groups, types, filtered_types)
state_event_map = yield self.get_events(
[ev_id for sd in itervalues(group_to_state) for ev_id in itervalues(sd)],
get_prev_content=False
)
event_to_state = {
event_id: {
k: state_event_map[v]
for k, v in iteritems(group_to_state[group])
if v in state_event_map
}
for event_id, group in iteritems(event_to_groups)
}
defer.returnValue({event: event_to_state[event] for event in event_ids})
@defer.inlineCallbacks
def get_state_ids_for_events(self, event_ids, types=None, filtered_types=None):
"""
Get the state dicts corresponding to a list of events
Args:
event_ids(list(str)): events whose state should be returned
types(list[(str, str|None)]|None): List of (type, state_key) tuples
which are used to filter the state fetched. If `state_key` is None,
all events are returned of the given type.
May be None, which matches any key.
filtered_types(list[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
Returns:
A deferred dict from event_id -> (type, state_key) -> state_event
"""
event_to_groups = yield self._get_state_group_for_events(
event_ids,
)
groups = set(itervalues(event_to_groups))
group_to_state = yield self._get_state_for_groups(groups, types, filtered_types)
event_to_state = {
event_id: group_to_state[group]
for event_id, group in iteritems(event_to_groups)
}
defer.returnValue({event: event_to_state[event] for event in event_ids})
@defer.inlineCallbacks
def get_state_for_event(self, event_id, types=None, filtered_types=None):
"""
Get the state dict corresponding to a particular event
Args:
event_id(str): event whose state should be returned
types(list[(str, str|None)]|None): List of (type, state_key) tuples
which are used to filter the state fetched. If `state_key` is None,
all events are returned of the given type.
May be None, which matches any key.
filtered_types(list[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
Returns:
A deferred dict from (type, state_key) -> state_event
"""
state_map = yield self.get_state_for_events([event_id], types, filtered_types)
defer.returnValue(state_map[event_id])
@defer.inlineCallbacks
def get_state_ids_for_event(self, event_id, types=None, filtered_types=None):
"""
Get the state dict corresponding to a particular event
Args:
event_id(str): event whose state should be returned
types(list[(str, str|None)]|None): List of (type, state_key) tuples
which are used to filter the state fetched. If `state_key` is None,
all events are returned of the given type.
May be None, which matches any key.
filtered_types(list[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
Returns:
A deferred dict from (type, state_key) -> state_event
"""
state_map = yield self.get_state_ids_for_events([event_id], types, filtered_types)
defer.returnValue(state_map[event_id])
@cached(max_entries=50000)
def _get_state_group_for_event(self, event_id):
return self._simple_select_one_onecol(
table="event_to_state_groups",
keyvalues={
"event_id": event_id,
},
retcol="state_group",
allow_none=True,
desc="_get_state_group_for_event",
)
@cachedList(cached_method_name="_get_state_group_for_event",
list_name="event_ids", num_args=1, inlineCallbacks=True)
def _get_state_group_for_events(self, event_ids):
"""Returns mapping event_id -> state_group
"""
rows = yield self._simple_select_many_batch(
table="event_to_state_groups",
column="event_id",
iterable=event_ids,
keyvalues={},
retcols=("event_id", "state_group",),
desc="_get_state_group_for_events",
)
defer.returnValue({row["event_id"]: row["state_group"] for row in rows})
def _get_some_state_from_cache(self, group, types, filtered_types=None):
"""Checks if group is in cache. See `_get_state_for_groups`
Returns 3-tuple (`state_dict`, `missing_types`, `got_all`).
`missing_types` is the list of types that aren't in the cache for that
group. `got_all` is a bool indicating if we successfully retrieved all
requests state from the cache, if False we need to query the DB for the
missing state.
Args:
group(int): The state group to lookup
types(list[str, str|None]): List of 2-tuples of the form
(`type`, `state_key`), where a `state_key` of `None` matches all
state_keys for the `type`.
filtered_types(list[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
"""
is_all, known_absent, state_dict_ids = self._state_group_cache.get(group)
type_to_key = {}
# tracks which of the requested types are missing from our cache
missing_types = set()
for typ, state_key in types:
key = (typ, state_key)
if state_key is None:
type_to_key[typ] = None
# we mark the type as missing from the cache because
# when the cache was populated it might have been done with a
# restricted set of state_keys, so the wildcard will not work
# and the cache may be incomplete.
missing_types.add(key)
else:
if type_to_key.get(typ, object()) is not None:
type_to_key.setdefault(typ, set()).add(state_key)
if key not in state_dict_ids and key not in known_absent:
missing_types.add(key)
sentinel = object()
def include(typ, state_key):
valid_state_keys = type_to_key.get(typ, sentinel)
if valid_state_keys is sentinel:
return filtered_types is not None and typ not in filtered_types
if valid_state_keys is None:
return True
if state_key in valid_state_keys:
return True
return False
got_all = is_all or not missing_types
return {
k: v for k, v in iteritems(state_dict_ids)
if include(k[0], k[1])
}, missing_types, got_all
def _get_all_state_from_cache(self, group):
"""Checks if group is in cache. See `_get_state_for_groups`
Returns 2-tuple (`state_dict`, `got_all`). `got_all` is a bool
indicating if we successfully retrieved all requests state from the
cache, if False we need to query the DB for the missing state.
Args:
group: The state group to lookup
"""
is_all, _, state_dict_ids = self._state_group_cache.get(group)
return state_dict_ids, is_all
@defer.inlineCallbacks
def _get_state_for_groups(self, groups, types=None, filtered_types=None):
"""Gets the state at each of a list of state groups, optionally
filtering by type/state_key
Args:
groups (iterable[int]): list of state groups for which we want
to get the state.
types (None|iterable[(str, None|str)]):
indicates the state type/keys required. If None, the whole
state is fetched and returned.
Otherwise, each entry should be a `(type, state_key)` tuple to
include in the response. A `state_key` of None is a wildcard
meaning that we require all state with that type.
filtered_types(list[str]|None): Only apply filtering via `types` to this
list of event types. Other types of events are returned unfiltered.
If None, `types` filtering is applied to all events.
Returns:
Deferred[dict[int, dict[(type, state_key), EventBase]]]
a dictionary mapping from state group to state dictionary.
"""
if types:
types = frozenset(types)
results = {}
missing_groups = []
if types is not None:
for group in set(groups):
state_dict_ids, _, got_all = self._get_some_state_from_cache(
group, types, filtered_types
)
results[group] = state_dict_ids
if not got_all:
missing_groups.append(group)
else:
for group in set(groups):
state_dict_ids, got_all = self._get_all_state_from_cache(
group
)
results[group] = state_dict_ids
if not got_all:
missing_groups.append(group)
if missing_groups:
# Okay, so we have some missing_types, lets fetch them.
cache_seq_num = self._state_group_cache.sequence
# the DictionaryCache knows if it has *all* the state, but
# does not know if it has all of the keys of a particular type,
# which makes wildcard lookups expensive unless we have a complete
# cache. Hence, if we are doing a wildcard lookup, populate the
# cache fully so that we can do an efficient lookup next time.
if types and any(k is None for (t, k) in types):
types_to_fetch = None
else:
types_to_fetch = types
group_to_state_dict = yield self._get_state_groups_from_groups(
missing_groups, types_to_fetch, filtered_types
)
for group, group_state_dict in iteritems(group_to_state_dict):
state_dict = results[group]
# update the result, filtering by `types`.
if types:
for k, v in iteritems(group_state_dict):
(typ, _) = k
if k in types or (typ, None) in types:
state_dict[k] = v
else:
state_dict.update(group_state_dict)
# update the cache with all the things we fetched from the
# database.
self._state_group_cache.update(
cache_seq_num,
key=group,
value=group_state_dict,
fetched_keys=types_to_fetch,
)
defer.returnValue(results)
def store_state_group(self, event_id, room_id, prev_group, delta_ids,
current_state_ids):
"""Store a new set of state, returning a newly assigned state group.
Args:
event_id (str): The event ID for which the state was calculated
room_id (str)
prev_group (int|None): A previous state group for the room, optional.
delta_ids (dict|None): The delta between state at `prev_group` and
`current_state_ids`, if `prev_group` was given. Same format as
`current_state_ids`.
current_state_ids (dict): The state to store. Map of (type, state_key)
to event_id.
Returns:
Deferred[int]: The state group ID
"""
def _store_state_group_txn(txn):
if current_state_ids is None:
# AFAIK, this can never happen
raise Exception("current_state_ids cannot be None")
state_group = self.database_engine.get_next_state_group_id(txn)
self._simple_insert_txn(
txn,
table="state_groups",
values={
"id": state_group,
"room_id": room_id,
"event_id": event_id,
},
)
# We persist as a delta if we can, while also ensuring the chain
# of deltas isn't tooo long, as otherwise read performance degrades.
if prev_group:
is_in_db = self._simple_select_one_onecol_txn(
txn,
table="state_groups",
keyvalues={"id": prev_group},
retcol="id",
allow_none=True,
)
if not is_in_db:
raise Exception(
"Trying to persist state with unpersisted prev_group: %r"
% (prev_group,)
)
potential_hops = self._count_state_group_hops_txn(
txn, prev_group
)
if prev_group and potential_hops < MAX_STATE_DELTA_HOPS:
self._simple_insert_txn(
txn,
table="state_group_edges",
values={
"state_group": state_group,
"prev_state_group": prev_group,
},
)
self._simple_insert_many_txn(
txn,
table="state_groups_state",
values=[
{
"state_group": state_group,
"room_id": room_id,
"type": key[0],
"state_key": key[1],
"event_id": state_id,
}
for key, state_id in iteritems(delta_ids)
],
)
else:
self._simple_insert_many_txn(
txn,
table="state_groups_state",
values=[
{
"state_group": state_group,
"room_id": room_id,
"type": key[0],
"state_key": key[1],
"event_id": state_id,
}
for key, state_id in iteritems(current_state_ids)
],
)
# Prefill the state group cache with this group.
# It's fine to use the sequence like this as the state group map
# is immutable. (If the map wasn't immutable then this prefill could
# race with another update)
txn.call_after(
self._state_group_cache.update,
self._state_group_cache.sequence,
key=state_group,
value=dict(current_state_ids),
)
return state_group
return self.runInteraction("store_state_group", _store_state_group_txn)
def _count_state_group_hops_txn(self, txn, state_group):
"""Given a state group, count how many hops there are in the tree.
This is used to ensure the delta chains don't get too long.
"""
if isinstance(self.database_engine, PostgresEngine):
sql = ("""
WITH RECURSIVE state(state_group) AS (
VALUES(?::bigint)
UNION ALL
SELECT prev_state_group FROM state_group_edges e, state s
WHERE s.state_group = e.state_group
)
SELECT count(*) FROM state;
""")
txn.execute(sql, (state_group,))
row = txn.fetchone()
if row and row[0]:
return row[0]
else:
return 0
else:
# We don't use WITH RECURSIVE on sqlite3 as there are distributions
# that ship with an sqlite3 version that doesn't support it (e.g. wheezy)
next_group = state_group
count = 0
while next_group:
next_group = self._simple_select_one_onecol_txn(
txn,
table="state_group_edges",
keyvalues={"state_group": next_group},
retcol="prev_state_group",
allow_none=True,
)
if next_group:
count += 1
return count
class StateStore(StateGroupWorkerStore, BackgroundUpdateStore):
""" Keeps track of the state at a given event.
This is done by the concept of `state groups`. Every event is a assigned
a state group (identified by an arbitrary string), which references a
collection of state events. The current state of an event is then the
collection of state events referenced by the event's state group.
Hence, every change in the current state causes a new state group to be
generated. However, if no change happens (e.g., if we get a message event
with only one parent it inherits the state group from its parent.)
There are three tables:
* `state_groups`: Stores group name, first event with in the group and
room id.
* `event_to_state_groups`: Maps events to state groups.
* `state_groups_state`: Maps state group to state events.
"""
STATE_GROUP_DEDUPLICATION_UPDATE_NAME = "state_group_state_deduplication"
STATE_GROUP_INDEX_UPDATE_NAME = "state_group_state_type_index"
CURRENT_STATE_INDEX_UPDATE_NAME = "current_state_members_idx"
def __init__(self, db_conn, hs):
super(StateStore, self).__init__(db_conn, hs)
self.register_background_update_handler(
self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME,
self._background_deduplicate_state,
)
self.register_background_update_handler(
self.STATE_GROUP_INDEX_UPDATE_NAME,
self._background_index_state,
)
self.register_background_index_update(
self.CURRENT_STATE_INDEX_UPDATE_NAME,
index_name="current_state_events_member_index",
table="current_state_events",
columns=["state_key"],
where_clause="type='m.room.member'",
)
def _store_event_state_mappings_txn(self, txn, events_and_contexts):
state_groups = {}
for event, context in events_and_contexts:
if event.internal_metadata.is_outlier():
continue
# if the event was rejected, just give it the same state as its
# predecessor.
if context.rejected:
state_groups[event.event_id] = context.prev_group
continue
state_groups[event.event_id] = context.state_group
self._simple_insert_many_txn(
txn,
table="event_to_state_groups",
values=[
{
"state_group": state_group_id,
"event_id": event_id,
}
for event_id, state_group_id in iteritems(state_groups)
],
)
for event_id, state_group_id in iteritems(state_groups):
txn.call_after(
self._get_state_group_for_event.prefill,
(event_id,), state_group_id
)
@defer.inlineCallbacks
def _background_deduplicate_state(self, progress, batch_size):
"""This background update will slowly deduplicate state by reencoding
them as deltas.
"""
last_state_group = progress.get("last_state_group", 0)
rows_inserted = progress.get("rows_inserted", 0)
max_group = progress.get("max_group", None)
BATCH_SIZE_SCALE_FACTOR = 100
batch_size = max(1, int(batch_size / BATCH_SIZE_SCALE_FACTOR))
if max_group is None:
rows = yield self._execute(
"_background_deduplicate_state", None,
"SELECT coalesce(max(id), 0) FROM state_groups",
)
max_group = rows[0][0]
def reindex_txn(txn):
new_last_state_group = last_state_group
for count in range(batch_size):
txn.execute(
"SELECT id, room_id FROM state_groups"
" WHERE ? < id AND id <= ?"
" ORDER BY id ASC"
" LIMIT 1",
(new_last_state_group, max_group,)
)
row = txn.fetchone()
if row:
state_group, room_id = row
if not row or not state_group:
return True, count
txn.execute(
"SELECT state_group FROM state_group_edges"
" WHERE state_group = ?",
(state_group,)
)
# If we reach a point where we've already started inserting
# edges we should stop.
if txn.fetchall():
return True, count
txn.execute(
"SELECT coalesce(max(id), 0) FROM state_groups"
" WHERE id < ? AND room_id = ?",
(state_group, room_id,)
)
prev_group, = txn.fetchone()
new_last_state_group = state_group
if prev_group:
potential_hops = self._count_state_group_hops_txn(
txn, prev_group
)
if potential_hops >= MAX_STATE_DELTA_HOPS:
# We want to ensure chains are at most this long,#
# otherwise read performance degrades.
continue
prev_state = self._get_state_groups_from_groups_txn(
txn, [prev_group], types=None
)
prev_state = prev_state[prev_group]
curr_state = self._get_state_groups_from_groups_txn(
txn, [state_group], types=None
)
curr_state = curr_state[state_group]
if not set(prev_state.keys()) - set(curr_state.keys()):
# We can only do a delta if the current has a strict super set
# of keys
delta_state = {
key: value for key, value in iteritems(curr_state)
if prev_state.get(key, None) != value
}
self._simple_delete_txn(
txn,
table="state_group_edges",
keyvalues={
"state_group": state_group,
}
)
self._simple_insert_txn(
txn,
table="state_group_edges",
values={
"state_group": state_group,
"prev_state_group": prev_group,
}
)
self._simple_delete_txn(
txn,
table="state_groups_state",
keyvalues={
"state_group": state_group,
}
)
self._simple_insert_many_txn(
txn,
table="state_groups_state",
values=[
{
"state_group": state_group,
"room_id": room_id,
"type": key[0],
"state_key": key[1],
"event_id": state_id,
}
for key, state_id in iteritems(delta_state)
],
)
progress = {
"last_state_group": state_group,
"rows_inserted": rows_inserted + batch_size,
"max_group": max_group,
}
self._background_update_progress_txn(
txn, self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME, progress
)
return False, batch_size
finished, result = yield self.runInteraction(
self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME, reindex_txn
)
if finished:
yield self._end_background_update(self.STATE_GROUP_DEDUPLICATION_UPDATE_NAME)
defer.returnValue(result * BATCH_SIZE_SCALE_FACTOR)
@defer.inlineCallbacks
def _background_index_state(self, progress, batch_size):
def reindex_txn(conn):
conn.rollback()
if isinstance(self.database_engine, PostgresEngine):
# postgres insists on autocommit for the index
conn.set_session(autocommit=True)
try:
txn = conn.cursor()
txn.execute(
"CREATE INDEX CONCURRENTLY state_groups_state_type_idx"
" ON state_groups_state(state_group, type, state_key)"
)
txn.execute(
"DROP INDEX IF EXISTS state_groups_state_id"
)
finally:
conn.set_session(autocommit=False)
else:
txn = conn.cursor()
txn.execute(
"CREATE INDEX state_groups_state_type_idx"
" ON state_groups_state(state_group, type, state_key)"
)
txn.execute(
"DROP INDEX IF EXISTS state_groups_state_id"
)
yield self.runWithConnection(reindex_txn)
yield self._end_background_update(self.STATE_GROUP_INDEX_UPDATE_NAME)
defer.returnValue(1)
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