21 KiB
Scaling synapse via workers
For small instances it recommended to run Synapse in the default monolith mode. For larger instances where performance is a concern it can be helpful to split out functionality into multiple separate python processes. These processes are called 'workers', and are (eventually) intended to scale horizontally independently.
Synapse's worker support is under active development and subject to change as
we attempt to rapidly scale ever larger Synapse instances. However we are
documenting it here to help admins needing a highly scalable Synapse instance
similar to the one running matrix.org.
All processes continue to share the same database instance, and as such, workers only work with PostgreSQL-based Synapse deployments. SQLite should only be used for demo purposes and any admin considering workers should already be running PostgreSQL.
See also https://matrix.org/blog/2020/11/03/how-we-fixed-synapses-scalability for a higher level overview.
Main process/worker communication
The processes communicate with each other via a Synapse-specific protocol called 'replication' (analogous to MySQL- or Postgres-style database replication) which feeds streams of newly written data between processes so they can be kept in sync with the database state.
When configured to do so, Synapse uses a Redis pub/sub channel to send the replication stream between all configured Synapse processes. Additionally, processes may make HTTP requests to each other, primarily for operations which need to wait for a reply ─ such as sending an event.
Redis support was added in v1.13.0 with it becoming the recommended method in v1.18.0. It replaced the old direct TCP connections (which is deprecated as of v1.18.0) to the main process. With Redis, rather than all the workers connecting to the main process, all the workers and the main process connect to Redis, which relays replication commands between processes. This can give a significant cpu saving on the main process and will be a prerequisite for upcoming performance improvements.
If Redis support is enabled Synapse will use it as a shared cache, as well as a pub/sub mechanism.
See the Architectural diagram section at the end for a visualisation of what this looks like.
Setting up workers
A Redis server is required to manage the communication between the processes.
The Redis server should be installed following the normal procedure for your
distribution (e.g. apt install redis-server on Debian). It is safe to use an
existing Redis deployment if you have one.
Once installed, check that Redis is running and accessible from the host running
Synapse, for example by executing echo PING | nc -q1 localhost 6379 and seeing
a response of +PONG.
The appropriate dependencies must also be installed for Synapse. If using a virtualenv, these can be installed with:
pip install "matrix-synapse[redis]"
Note that these dependencies are included when synapse is installed with pip install matrix-synapse[all]. They are also included in the debian packages from
matrix.org and in the docker images at
https://hub.docker.com/r/matrixdotorg/synapse/.
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. See reverse_proxy.md for information on setting up a reverse proxy.
When using workers, each worker process has its own configuration file which contains settings specific to that worker, such as the HTTP listener that it provides (if any), logging configuration, etc.
Normally, the worker processes are configured to read from a shared configuration file as well as the worker-specific configuration files. This makes it easier to keep common configuration settings synchronised across all the processes.
The main process is somewhat special in this respect: it does not normally need its own configuration file and can take all of its configuration from the shared configuration file.
Shared configuration
Normally, only a couple of changes are needed to make an existing configuration file suitable for use with workers. First, you need to enable an "HTTP replication listener" for the main process; and secondly, you need to enable redis-based replication. Optionally, a shared secret can be used to authenticate HTTP traffic between workers. For example:
# extend the existing `listeners` section. This defines the ports that the
# main process will listen on.
listeners:
# The HTTP replication port
- port: 9093
bind_address: '127.0.0.1'
type: http
resources:
- names: [replication]
# Add a random shared secret to authenticate traffic.
worker_replication_secret: ""
redis:
enabled: true
See the sample config for the full documentation of each option.
Under no circumstances should the replication listener be exposed to the public internet; it has no authentication and is unencrypted.
Worker configuration
In the config file for each worker, you must specify the type of worker
application (worker_app), and you should specify a unique name for the worker
(worker_name). The currently available worker applications are listed below.
You must also specify the HTTP replication endpoint that it should talk to on
the main synapse process. worker_replication_host should specify the host of
the main synapse and worker_replication_http_port should point to the HTTP
replication port. If the worker will handle HTTP requests then the
worker_listeners option should be set with a http listener, in the same way
as the listeners option in the shared config.
For example:
worker_app: synapse.app.generic_worker
worker_name: worker1
# The replication listener on the main synapse process.
worker_replication_host: 127.0.0.1
worker_replication_http_port: 9093
worker_listeners:
- type: http
port: 8083
resources:
- names:
- client
- federation
worker_log_config: /home/matrix/synapse/config/worker1_log_config.yaml
...is a full configuration for a generic worker instance, which will expose a
plain HTTP endpoint on port 8083 separately serving various endpoints, e.g.
/sync, which are listed below.
Obviously you should configure your reverse-proxy to route the relevant
endpoints to the worker (localhost:8083 in the above example).
Running Synapse with workers
Finally, you need to start your worker processes. This can be done with either
synctl or your distribution's preferred service manager such as systemd. We
recommend the use of systemd where available: for information on setting up
systemd to start synapse workers, see
systemd-with-workers. To use synctl, see
synctl_workers.md.
Available worker applications
synapse.app.generic_worker
This worker can handle API requests matching the following regular expressions:
# Sync requests
^/_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$
# Federation requests
^/_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
^/_matrix/federation/v1/query/
^/_matrix/federation/v1/make_join/
^/_matrix/federation/v1/make_leave/
^/_matrix/federation/v1/send_join/
^/_matrix/federation/v2/send_join/
^/_matrix/federation/v1/send_leave/
^/_matrix/federation/v2/send_leave/
^/_matrix/federation/v1/invite/
^/_matrix/federation/v2/invite/
^/_matrix/federation/v1/query_auth/
^/_matrix/federation/v1/event_auth/
^/_matrix/federation/v1/exchange_third_party_invite/
^/_matrix/federation/v1/user/devices/
^/_matrix/federation/v1/get_groups_publicised$
^/_matrix/key/v2/query
# Inbound federation transaction request
^/_matrix/federation/v1/send/
# Client API requests
^/_matrix/client/(api/v1|r0|unstable)/publicRooms$
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/joined_members$
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/context/.*$
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/members$
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/state$
^/_matrix/client/(api/v1|r0|unstable)/account/3pid$
^/_matrix/client/(api/v1|r0|unstable)/devices$
^/_matrix/client/(api/v1|r0|unstable)/keys/query$
^/_matrix/client/(api/v1|r0|unstable)/keys/changes$
^/_matrix/client/versions$
^/_matrix/client/(api/v1|r0|unstable)/voip/turnServer$
^/_matrix/client/(api/v1|r0|unstable)/joined_groups$
^/_matrix/client/(api/v1|r0|unstable)/publicised_groups$
^/_matrix/client/(api/v1|r0|unstable)/publicised_groups/
# Registration/login requests
^/_matrix/client/(api/v1|r0|unstable)/login$
^/_matrix/client/(r0|unstable)/register$
^/_matrix/client/(r0|unstable)/auth/.*/fallback/web$
# Event sending requests
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/redact
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/send
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/state/
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/(join|invite|leave|ban|unban|kick)$
^/_matrix/client/(api/v1|r0|unstable)/join/
^/_matrix/client/(api/v1|r0|unstable)/profile/
Additionally, the following REST endpoints can be handled for GET requests:
^/_matrix/federation/v1/groups/
Pagination requests can also be handled, but all requests for a given room must be routed to the same instance. Additionally, care must be taken to ensure that the purge history admin API is not used while pagination requests for the room are in flight:
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/messages$
Additionally, the following endpoints should be included if Synapse is configured to use SSO (you only need to include the ones for whichever SSO provider you're using):
# for all SSO providers
^/_matrix/client/(api/v1|r0|unstable)/login/sso/redirect
^/_synapse/client/pick_idp$
^/_synapse/client/pick_username
^/_synapse/client/new_user_consent$
^/_synapse/client/sso_register$
# OpenID Connect requests.
^/_synapse/client/oidc/callback$
# SAML requests.
^/_synapse/client/saml2/authn_response$
# CAS requests.
^/_matrix/client/(api/v1|r0|unstable)/login/cas/ticket$
Ensure that all SSO logins go to a single process. For multiple workers not handling the SSO endpoints properly, see #7530.
Note that a HTTP listener with client and federation resources must be
configured in the worker_listeners option in the worker config.
Load balancing
It is possible to run multiple instances of this worker app, with incoming requests being load-balanced between them by the reverse-proxy. However, different endpoints have different characteristics and so admins may wish to run multiple groups of workers handling different endpoints so that load balancing can be done in different ways.
For /sync and /initialSync requests it will be more efficient if all
requests from a particular user are routed to a single instance. Extracting a
user ID from the access token or Authorization header is currently left as an
exercise for the reader. Admins may additionally wish to separate out /sync
requests that have a since query parameter from those that don't (and
/initialSync), as requests that don't are known as "initial sync" that happens
when a user logs in on a new device and can be very resource intensive, so
isolating these requests will stop them from interfering with other users ongoing
syncs.
Federation and client requests can be balanced via simple round robin.
The inbound federation transaction request ^/_matrix/federation/v1/send/
should be balanced by source IP so that transactions from the same remote server
go to the same process.
Registration/login requests can be handled separately purely to help ensure that unexpected load doesn't affect new logins and sign ups.
Finally, event sending requests can be balanced by the room ID in the URI (or
the full URI, or even just round robin), the room ID is the path component after
/rooms/. If there is a large bridge connected that is sending or may send lots
of events, then a dedicated set of workers can be provisioned to limit the
effects of bursts of events from that bridge on events sent by normal users.
Stream writers
Additionally, there is experimental support for moving writing of specific streams (such as events) off of the main process to a particular worker. (This is only supported with Redis-based replication.)
Currently supported streams are events and typing.
To enable this, the worker must have a HTTP replication listener configured,
have a worker_name and be listed in the instance_map config. For example to
move event persistence off to a dedicated worker, the shared configuration would
include:
instance_map:
event_persister1:
host: localhost
port: 8034
stream_writers:
events: event_persister1
The events stream also experimentally supports having multiple writers, where
work is sharded between them by room ID. Note that you must restart all worker
instances when adding or removing event persisters. An example stream_writers
configuration with multiple writers:
stream_writers:
events:
- event_persister1
- event_persister2
Background tasks
There is also experimental support for moving background tasks to a separate worker. Background tasks are run periodically or started via replication. Exactly which tasks are configured to run depends on your Synapse configuration (e.g. if stats is enabled).
To enable this, the worker must have a worker_name and can be configured to run
background tasks. For example, to move background tasks to a dedicated worker,
the shared configuration would include:
run_background_tasks_on: background_worker
You might also wish to investigate the update_user_directory and
media_instance_running_background_jobs settings.
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 push notifications.
Note this worker cannot be load-balanced: only one instance should be active.
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 appservice notifications.
Note this worker cannot be load-balanced: only one instance should be active.
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.
If running multiple federation senders then you must list each
instance in the federation_sender_instances option by their worker_name.
All instances must be stopped and started when adding or removing instances.
For example:
federation_sender_instances:
- federation_sender1
- federation_sender2
synapse.app.media_repository
Handles the media repository. It can handle all endpoints starting with:
/_matrix/media/
... and the following regular expressions matching media-specific administration APIs:
^/_synapse/admin/v1/purge_media_cache$
^/_synapse/admin/v1/room/.*/media.*$
^/_synapse/admin/v1/user/.*/media.*$
^/_synapse/admin/v1/media/.*$
^/_synapse/admin/v1/quarantine_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.
In the media_repository worker configuration file, configure the http listener to
expose the media resource. For example:
worker_listeners:
- type: http
port: 8085
resources:
- names:
- media
Note that if running multiple media repositories they must be on the same server and you must configure a single instance to run the background tasks, e.g.:
media_instance_running_background_jobs: "media-repository-1"
Note that if a reverse proxy is used , then /_matrix/media/ must be routed for both inbound client and federation requests (if they are handled separately).
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$
When using this worker you must also set update_user_directory: False in the
shared configuration file to stop the main synapse running background
jobs related to updating the user directory.
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
If use_presence is False in the homeserver config, it can also handle REST
endpoints matching the following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/presence/[^/]+/status
This "stub" presence handler will pass through GET request but make the
PUT effectively a no-op.
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
Historical apps
Note: Historically there used to be more apps, however they have been
amalgamated into a single synapse.app.generic_worker app. The remaining apps
are ones that do specific processing unrelated to requests, e.g. the pusher
that handles sending out push notifications for new events. The intention is for
all these to be folded into the generic_worker app and to use config to define
which processes handle the various proccessing such as push notifications.
Migration from old config
There are two main independent changes that have been made: introducing Redis
support and merging apps into synapse.app.generic_worker. Both these changes
are backwards compatible and so no changes to the config are required, however
server admins are encouraged to plan to migrate to Redis as the old style direct
TCP replication config is deprecated.
To migrate to Redis add the redis config as above, and optionally remove the
TCP replication listener from master and worker_replication_port from worker
config.
To migrate apps to use synapse.app.generic_worker simply update the
worker_app option in the worker configs, and where worker are started (e.g.
in systemd service files, but not required for synctl).
Architectural diagram
The following shows an example setup using Redis and a reverse proxy:
Clients & Federation
|
v
+-----------+
| |
| Reverse |
| Proxy |
| |
+-----------+
| | |
| | | HTTP requests
+-------------------+ | +-----------+
| +---+ |
| | |
v v v
+--------------+ +--------------+ +--------------+ +--------------+
| Main | | Generic | | Generic | | Event |
| Process | | Worker 1 | | Worker 2 | | Persister |
+--------------+ +--------------+ +--------------+ +--------------+
^ ^ | ^ | | ^ | ^ ^
| | | | | | | | | |
| | | | | HTTP | | | | |
| +----------+<--|---|---------+ | | | |
| | +-------------|-->+----------+ |
| | | |
| | | |
v v v v
====================================================================
Redis pub/sub channel