Fixes#12801.
Complement tests are at
https://github.com/matrix-org/complement/pull/567.
Avoid blocking on full state when handling a subsequent join into a
partial state room.
Also always perform a remote join into partial state rooms, since we do
not know whether the joining user has been banned and want to avoid
leaking history to banned users.
Signed-off-by: Mathieu Velten <mathieuv@matrix.org>
Co-authored-by: Sean Quah <seanq@matrix.org>
Co-authored-by: David Robertson <davidr@element.io>
This adds an `event_stream_ordering` column to `current_state_events`,
`local_current_membership` and `room_memberships`. Each of these tables
is regularly joined with the `events` table to get the stream ordering
and denormalising this into each table will yield significant query
performance improvements once used. Includes a background job to
populate these values from the `events` table.
Same idea as https://github.com/matrix-org/synapse/pull/13703.
Signed off by Nick @ Beeper (@fizzadar).
* Perfer `type(x) is int` to `isinstance(x, int)`
This covered all additional instances I could see where `x` was
user-controlled.
The remaining cases are
```
$ rg -s 'isinstance.*[^_]int'
tests/replication/_base.py
576: if isinstance(obj, int):
synapse/util/caches/stream_change_cache.py
136: assert isinstance(stream_pos, int)
214: assert isinstance(stream_pos, int)
246: assert isinstance(stream_pos, int)
267: assert isinstance(stream_pos, int)
synapse/replication/tcp/external_cache.py
133: if isinstance(result, int):
synapse/metrics/__init__.py
100: if isinstance(calls, (int, float)):
synapse/handlers/appservice.py
262: assert isinstance(new_token, int)
synapse/config/_util.py
62: if isinstance(p, int):
```
which cover metrics, logic related to `jsonschema`, and replication and
data streams. AFAICS these are all internal to Synapse
* Changelog
Avoid an n+1 query problem and fetch the bundled aggregations for
m.reference relations in a single query instead of a query per event.
This applies similar logic for as was previously done for edits in
8b309adb43 (#11660; threads
in b65acead42 (#11752); and
annotations in 1799a54a54 (#14491).
Remove type hints from comments which have been added
as Python type hints. This helps avoid drift between comments
and reality, as well as removing redundant information.
Also adds some missing type hints which were simple to fill in.
When the last event in a thread is redacted we need to update
the threads table:
* Find the new latest event in the thread and store it into the table; or
* Remove the thread from the table if it is no longer a thread (i.e. all
events in the thread were redacted).
Implement the /threads endpoint from MSC3856.
This is currently unstable and behind an experimental configuration
flag.
It includes a background update to backfill data, results from
the /threads endpoint will be partial until that finishes.
This moves all the invalidations into a single place and de-duplicates
the code involved in invalidating caches for a given event by using
the base class method.
Adds a `thread_id` column to the `event_push_actions`, `event_push_actions_staging`,
and `event_push_summary` tables. This will notifications to be segmented by the thread
in a future pull request. The `thread_id` column stores the root event ID or the special
value `"main"`.
The `thread_id` column for `event_push_actions` and `event_push_summary` is
backfilled with `"main"` for all existing rows. New entries into `event_push_actions`
and `event_push_actions_staging` will get the proper thread ID.
`receipts_linearized` and `receipts_graph` also gain a `thread_id` column, which is similar,
except `NULL` is a special value meaning the receipt is "unthreaded".
See MSC3771 and MSC3773 for where this data will be useful.
Fix race conditions in the async cache invalidation logic, by separating
the async & local invalidation calls and ensuring any async call i
executed first.
Signed off by Nick @ Beeper (@Fizzadar).
Some experimental prep work to enable external event caching based on #9379 & #12955. Doesn't actually move the cache at all, just lays the groundwork for async implemented caches.
Signed off by Nick @ Beeper (@Fizzadar)
Bounce recalculation of current state to the correct event persister and
move recalculation of current state into the event persistence queue, to
avoid concurrent updates to a room's current state.
Also give recalculation of a room's current state a real stream
ordering.
Signed-off-by: Sean Quah <seanq@matrix.org>
Whenever we want to persist an event, we first compute an event context,
which includes the state at the event and a flag indicating whether the
state is partial. After a lot of processing, we finally try to store the
event in the database, which can fail for partial state events when the
containing room has been un-partial stated in the meantime.
We detect the race as a foreign key constraint failure in the data store
layer and turn it into a special `PartialStateConflictError` exception,
which makes its way up to the method in which we computed the event
context.
To make things difficult, the exception needs to cross a replication
request: `/fed_send_events` for events coming over federation and
`/send_event` for events from clients. We transport the
`PartialStateConflictError` as a `409 Conflict` over replication and
turn `409`s back into `PartialStateConflictError`s on the worker making
the request.
All client events go through
`EventCreationHandler.handle_new_client_event`, which is called in
*a lot* of places. Instead of trying to update all the code which
creates client events, we turn the `PartialStateConflictError` into a
`429 Too Many Requests` in
`EventCreationHandler.handle_new_client_event` and hope that clients
take it as a hint to retry their request.
On the federation event side, there are 7 places which compute event
contexts. 4 of them use outlier event contexts:
`FederationEventHandler._auth_and_persist_outliers_inner`,
`FederationHandler.do_knock`, `FederationHandler.on_invite_request` and
`FederationHandler.do_remotely_reject_invite`. These events won't have
the partial state flag, so we do not need to do anything for then.
The remaining 3 paths which create events are
`FederationEventHandler.process_remote_join`,
`FederationEventHandler.on_send_membership_event` and
`FederationEventHandler._process_received_pdu`.
We can't experience the race in `process_remote_join`, unless we're
handling an additional join into a partial state room, which currently
blocks, so we make no attempt to handle it correctly.
`on_send_membership_event` is only called by
`FederationServer._on_send_membership_event`, so we catch the
`PartialStateConflictError` there and retry just once.
`_process_received_pdu` is called by `on_receive_pdu` for incoming
events and `_process_pulled_event` for backfill. The latter should never
try to persist partial state events, so we ignore it. We catch the
`PartialStateConflictError` in `on_receive_pdu` and retry just once.
Refering to the graph of code paths in
https://github.com/matrix-org/synapse/issues/12988#issuecomment-1156857648
may make the above make more sense.
Signed-off-by: Sean Quah <seanq@matrix.org>
* Remove redundant references to `event_edges.room_id`
We don't need to care about the room_id here, because we are already checking
the event id.
* Clean up the event_edges table
We make a number of changes to `event_edges`:
* We give the `room_id` and `is_state` columns defaults (null and false
respectively) so that we can stop populating them.
* We drop any rows that have `is_state` set true - they should no longer
exist.
* We drop any rows that do not exist in `events` - these should not exist
either.
* We drop the old unique constraint on all the colums, which wasn't much use.
* We create a new unique index on `(event_id, prev_event_id)`.
* We add a foreign key constraint to `events`.
These happen rather differently depending on whether we are on Postgres or
SQLite. For SQLite, we just rebuild the whole table, copying only the rows we
want to keep. For Postgres, we try to do things in the background as much as
possible.
* Stop populating `event_edges.room_id` and `is_state`
We can just rely on the defaults.
Implements the following behind an experimental configuration flag:
* A new push rule kind for mutually related events.
* A new default push rule (`.m.rule.thread_reply`) under an unstable prefix.
This is missing part of MSC3772:
* The `.m.rule.thread_reply_to_me` push rule, this depends on MSC3664 / #11804.
Parse the `m.relates_to` event content field (which describes relations)
in a single place, this is used during:
* Event persistence.
* Validation of the Client-Server API.
* Fetching bundled aggregations.
* Processing of push rules.
Each of these separately implement the logic and each made slightly
different assumptions about what was valid. Some had minor / potential
bugs.
Refactor how the `EventContext` class works, with the intention of reducing the amount of state we fetch from the DB during event processing.
The idea here is to get rid of the cached `current_state_ids` and `prev_state_ids` that live in the `EventContext`, and instead defer straight to the database (and its caching).
One change that may have a noticeable effect is that we now no longer prefill the `get_current_state_ids` cache on a state change. However, that query is relatively light, since its just a case of reading a table from the DB (unlike fetching state at an event which is more heavyweight). For deployments with workers this cache isn't even used.
Part of #12684
This works by taking a row level lock on the `rooms` table at the start of both transactions, ensuring that they don't run at the same time. In the event persistence transaction we also check that there is an entry still in the `rooms` table.
I can't figure out how to do this in SQLite. I was just going to lock the table, but it seems that we don't support that in SQLite either, so I'm *really* confused as to how we maintain integrity in SQLite when using `lock_table`....
We work through all the events with partial state, updating the state at each
of them. Once it's done, we recalculate the state for the whole room, and then
mark the room as having complete state.
Principally, `prometheus_client.REGISTRY.register` now requires its argument to
extend `prometheus_client.Collector`.
Additionally, `Gauge.set` is now annotated so that passing `Optional[int]`
causes an error.
This should speed up push rule calculations for rooms with large numbers of local users when the main push rule cache fails.
Co-authored-by: reivilibre <oliverw@matrix.org>
The unstable identifiers are still supported if the experimental configuration
flag is enabled. The unstable identifiers will be removed in a future release.
This is allowed per MSC2675, although the original implementation did
not allow for it and would return an empty chunk / not bundle aggregations.
The main thing to improve is that the various caches get cleared properly
when an event is redacted, and that edits must not leak if the original
event is redacted (as that would presumably leak something similar to
the original event content).
When we get a partial_state response from send_join, store information in the
database about it:
* store a record about the room as a whole having partial state, and stash the
list of member servers too.
* flag the join event itself as having partial state
* also, for any new events whose prev-events are partial-stated, note that
they will *also* be partial-stated.
We don't yet make any attempt to interpret this data, so API calls (and a bunch
of other things) are just going to get incorrect data.
Don't attempt to add non-string `value`s to `event_search` and add a
background update to clear out bad rows from `event_search` when
using sqlite.
Signed-off-by: Sean Quah <seanq@element.io>
When the server leaves a room the `get_rooms_for_user` cache is not
correctly invalidated for the remote users in the room. This means that
subsequent calls to `get_rooms_for_user` for the remote users would
incorrectly include the room (it shouldn't be included because the
server no longer knows anything about the room).
This should reduce database usage when fetching bundled aggregations
as the number of individual queries (and round trips to the database) are
reduced.
This should reduce database usage when fetching bundled aggregations
as the number of individual queries (and round trips to the database) are
reduced.
