... to stop us doing the cache cleanup jobs on the master.
8 KiB
Scaling synapse via workers
Synapse has experimental support for splitting out functionality into multiple separate python processes, helping greatly with scalability. These processes are called 'workers', and are (eventually) intended to scale horizontally independently.
All of the below is highly experimental and subject to change as Synapse evolves, but documenting it here to help folks needing highly scalable Synapses similar to the one running matrix.org!
All processes continue to share the same database instance, and as such, workers only work with postgres based synapse deployments (sharing a single sqlite across multiple processes is a recipe for disaster, plus you should be using postgres anyway if you care about scalability).
The workers communicate with the master synapse process via a synapse-specific TCP protocol called 'replication' - analogous to MySQL or Postgres style database replication; feeding a stream of relevant data to the workers so they can be kept in sync with the main synapse process and database state.
Configuration
To make effective use of the workers, you will need to configure an HTTP reverse-proxy such as nginx or haproxy, which will direct incoming requests to the correct worker, or to the main synapse instance. Note that this includes requests made to the federation port. The caveats regarding running a reverse-proxy on the federation port still apply (see https://github.com/matrix-org/synapse/blob/master/README.rst#reverse-proxying-the-federation-port).
To enable workers, you need to add a replication listener to the master synapse, e.g.:
listeners:
- port: 9092
bind_address: '127.0.0.1'
type: replication
Under no circumstances should this replication API listener be exposed to the public internet; it currently implements no authentication whatsoever and is unencrypted.
You then create a set of configs for the various worker processes. These should be worker configuration files, and should be stored in a dedicated subdirectory, to allow synctl to manipulate them.
Each worker configuration file inherits the configuration of the main homeserver configuration file. You can then override configuration specific to that worker, e.g. the HTTP listener that it provides (if any); logging configuration; etc. You should minimise the number of overrides though to maintain a usable config.
You must specify the type of worker application
(worker_app
). The currently available worker applications
are listed below. You must also specify the replication endpoint that
it's talking to on the main synapse process
(worker_replication_host
and
worker_replication_port
).
For instance:
worker_app: synapse.app.synchrotron
# The replication listener on the synapse to talk to.
worker_replication_host: 127.0.0.1
worker_replication_port: 9092
worker_listeners:
- type: http
port: 8083
resources:
- names:
- client
worker_daemonize: True
worker_pid_file: /home/matrix/synapse/synchrotron.pid
worker_log_config: /home/matrix/synapse/config/synchrotron_log_config.yaml
...is a full configuration for a synchrotron worker instance, which
will expose a plain HTTP /sync
endpoint on port 8083
separately from the /sync
endpoint provided by the main
synapse.
Obviously you should configure your reverse-proxy to route the
relevant endpoints to the worker (localhost:8083
in the
above example).
Finally, to actually run your worker-based synapse, you must pass synctl the -a commandline option to tell it to operate on all the worker configurations found in the given directory, e.g.:
synctl -a $CONFIG/workers start
Currently one should always restart all workers when restarting or upgrading synapse, unless you explicitly know it's safe not to. For instance, restarting synapse without restarting all the synchrotrons may result in broken typing notifications.
To manipulate a specific worker, you pass the -w option to synctl:
synctl -w $CONFIG/workers/synchrotron.yaml restart
Available worker applications
synapse.app.pusher
Handles sending push notifications to sygnal and email. Doesn't
handle any REST endpoints itself, but you should set
start_pushers: False
in the shared configuration file to
stop the main synapse sending these notifications.
Note this worker cannot be load-balanced: only one instance should be active.
synapse.app.synchrotron
The synchrotron handles sync
requests from clients. In
particular, it can handle REST endpoints matching the following regular
expressions:
^/_matrix/client/(v2_alpha|r0)/sync$
^/_matrix/client/(api/v1|v2_alpha|r0)/events$
^/_matrix/client/(api/v1|r0)/initialSync$
^/_matrix/client/(api/v1|r0)/rooms/[^/]+/initialSync$
The above endpoints should all be routed to the synchrotron worker by the reverse-proxy configuration.
It is possible to run multiple instances of the synchrotron to scale horizontally. In this case the reverse-proxy should be configured to load-balance across the instances, though it will be more efficient if all requests from a particular user are routed to a single instance. Extracting a userid from the access token is currently left as an exercise for the reader.
synapse.app.appservice
Handles sending output traffic to Application Services. Doesn't
handle any REST endpoints itself, but you should set
notify_appservices: False
in the shared configuration file
to stop the main synapse sending these notifications.
Note this worker cannot be load-balanced: only one instance should be active.
synapse.app.federation_reader
Handles a subset of federation endpoints. In particular, it can handle REST endpoints matching the following regular expressions:
^/_matrix/federation/v1/event/
^/_matrix/federation/v1/state/
^/_matrix/federation/v1/state_ids/
^/_matrix/federation/v1/backfill/
^/_matrix/federation/v1/get_missing_events/
^/_matrix/federation/v1/publicRooms
The above endpoints should all be routed to the federation_reader worker by the reverse-proxy configuration.
synapse.app.federation_sender
Handles sending federation traffic to other servers. Doesn't handle
any REST endpoints itself, but you should set
send_federation: False
in the shared configuration file to
stop the main synapse sending this traffic.
Note this worker cannot be load-balanced: only one instance should be active.
synapse.app.media_repository
Handles the media repository. It can handle all endpoints starting with:
/_matrix/media/
You should also set enable_media_repo: False
in the
shared configuration file to stop the main synapse running background
jobs related to managing the media repository.
Note this worker cannot be load-balanced: only one instance should be active.
synapse.app.client_reader
Handles client API endpoints. It can handle REST endpoints matching the following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/publicRooms$
synapse.app.user_dir
Handles searches in the user directory. It can handle REST endpoints matching the following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/user_directory/search$
synapse.app.frontend_proxy
Proxies some frequently-requested client endpoints to add caching and remove load from the main synapse. It can handle REST endpoints matching the following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/keys/upload
It will proxy any requests it cannot handle to the main synapse
instance. It must therefore be configured with the location of the main
instance, via the worker_main_http_uri
setting in the
frontend_proxy worker configuration file. For example:
worker_main_http_uri: http://127.0.0.1:8008