Fediversity/matrix/synapse/workers.md

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# Introduction to a worker-based setup

Very busy servers are brought down because a single thread can't keep up with
the load. So you want to create several threads for different types of work.

See this [Matrix blog](https://matrix.org/blog/2020/11/03/how-we-fixed-synapse-s-scalability/)
for some background information.

The traditional Synapse setup is one monolithic piece of software that does
everything. Joining a very busy room makes a bottleneck, as the server will
spend all its cycles on synchronizing that room.

You can split the server into workers, that are basically Synapse servers
themselves. Redirect specific tasks to them and you have several different
servers doing all kinds of tasks at the same time. A busy room will no longer
freeze the rest.

Workers communicate with each other via socket files and Redis.

**Important note**

While the use of workers can drastically improve speed, the law of diminished
returns applies. Splitting off more and more workers will not further improve
speed after a certain point. Plus: you need to understand what the most
resource-consuming tasks are before you can start to plan how many workers for
what tasks you need.

In this document we'll basically create a worker for every task, and several
workers for a few heavy tasks, as an example. You mileage may not only vary, it
will.

Tuning the rest of the machine and network also counts, especially PostgreSQL.
A well-tuned PostgreSQL can make a really big difference and should probably
be considered even before configuring workers.

With workers, PostgreSQL's configuration should be changed accordingly: see
[Tuning PostgreSQL for a Matrix Synapse
server](https://tcpipuk.github.io/postgres/tuning/index.html) for hints and
examples.


# Redis

First step is to install Redis.

```
apt install redis-server
```

For less overhead we use a UNIX socket instead of a network connection to
localhost. Disable the TCP listener and enable the socket in
`/etc/redis/redis.conf`:

```
port 0

unixsocket /run/redis/redis-server.sock
unixsocketperm 770
```

Our matrix user (`matrix-synapse`) has to be able to read from and write to
that socket, which is created by Redis and owned by `redis:redis`, so we add
user `matrix-synapse` to the group `redis`.

```
adduser matrix-synapse redis
```

Restart Redis for these changes to take effect. Check if port 6379 is no
longer active, and if the socketfile `/run/redis/redis-server.sock` exists.


# Synapse

Workers communicate with each other over sockets, that are all placed in one
directory. To make sure only the users that need access will have it, we
create a new group and add the users to it.

Then, create the directory where all the socket files for workers will come,
and give it the correct user, group and permission:

```
groupadd --system clubmatrix
useradd matrix-synapse clubmatrix
useradd www-data clubmatrix
mkdir /run/matrix-synapse
dpkg-statoverride --add --update matrix-synapse clubmatrix 2770 /run/matrix-synapse
```

First we change Synapse from listening on `localhost:8008` to listening on a
socket. We'll do most of our workers work in `conf.d/listeners.yaml`, so let's
put the new configuration for the main proccess there:

Add a replication listener:

```
listeners:
  - path: /run/matrix-synapse/inbound_main.sock
    mode: 0660
    type: http
    resources:
      - names:
        - client
        - consent
        - federation

  - path: /run/matrix-synapse/replication.sock
    mode: 0660
    type: http
    resources:
      - names:
        - replication 
```

This means Synapse will create two sockets under `/run/matrix/synapse`: one
for incoming traffic that is forwarded by nginx (`inbound_main.sock`), and one for
communicating with all the other workers (`replication.sock`).

If you restart Synapse now, it won't do anything anymore, because nginx is
still forwarding its traffic to `localhost:8008`. We'll get to nginx later,
but you'd have to change

```
proxy_forward http://localhost:8008;
```

to

```
proxy_forward http://unix:/run/matrix-synapse/inbound_main.sock;
```

If you've done this, restart Synapse, check if the socket is created and has
the correct permissions. Now point Synapse at Redis in `conf.d/redis.yaml`:

```
redis:
  enabled: true
  path: /run/redis/redis-server.sock
```

Check if Synapse can connect to Redis via the socket, you should find log
entries like this:

```
synapse.replication.tcp.redis - 292 - INFO - sentinel - Connecting to redis server UNIXAddress('/run/redis/redis-server.sock')
synapse.util.httpresourcetree - 56 - INFO - sentinel - Attaching <synapse.replication.http.ReplicationRestResource object at 0x7f95f850d150> to path b'/_synapse/replication'
synapse.replication.tcp.redis - 126 - INFO - sentinel - Connected to redis
synapse.replication.tcp.redis - 138 - INFO - subscribe-replication-0 - Sending redis SUBSCRIBE for ['matrix.example.com/USER_IP', 'matrix.example.com']
synapse.replication.tcp.redis - 141 - INFO - subscribe-replication-0 - Successfully subscribed to redis stream, sending REPLICATE command
synapse.replication.tcp.redis - 146 - INFO - subscribe-replication-0 - REPLICATE successfully sent
```


# Worker overview

Every worker is, in fact, a Synapse server, only with a limited set of tasks.
Some tasks can be handled by a number of workers, others only by one. Every
worker starts as a normal Synapse process, reading all the normal
configuration files, and then a bit of configuration for the specific worker
itself.

Workers need to communicate with each other and the main process, they do that
via the `replication` sockets under `/run/matrix-synapse`.

Most worker also need a way to be fed traffic by nginx, they have an `inbound`
socket for that, in the same directory.

Finally, all those replicating workers need to be registered in the main
process: all workers and their  replication sockets are listed inin the `instance_map`.


Every worker has its own configuration file, we'll put those under
`/etc/matrix-synapse/workers`. Create it, and then one systemd service file for
all workers:


## Types of workers

We'll make separate workers for almost every task, and several for the
heaviest tasks: synchronising. An overview of what endpoints are to be
forwarded to a worker is in [Synapse's documentation](https://element-hq.github.io/synapse/latest/workers.html#available-worker-applications).

We'll create the following workers:

* login
* federation_sender
* mediaworker
* userdir
* pusher
* push_rules
* typing
* todevice
* accountdata
* presence
* receipts
* initial_sync: 1 and 2
* normal_sync: 1, 2 and 3

Some of them are `stream_writers`, and the [documentation about
stream_witers](https://element-hq.github.io/synapse/latest/workers.html#stream-writers)
says:

```
Note: The same worker can handle multiple streams, but unless otherwise documented, each stream can only have a single writer.
```

So, stream writers must have unique tasks: you can't have two or more workers
writing to the same stream. Stream writers have to be listed in `stream_writers`:

```
stream_writers:
  account_data:
    - accountdata
  presence:
    - presence
  receipts:
    - receipts
  to_device:
    - todevice
  typing:
    - typing
  push_rules:
    - push_rules
```

As you can see, we've given the stream workers the name of the stream they're
writing to. We could combine all those streams into one worker, which would
probably be enough for most instances.

We could define a worker with the name streamwriter and list it under all
streams instead of a single worker for every stream.

Finally, we have to list all these workers under `instance_map`: their name
and their replication socket:

```
instance_map:
  main:
    path: "/run/matrix-synapse/replication_main.sock"
  login:
    path: "/run/matrix-synapse/replication_login.sock"
  federation_sender:
    path: "/run/matrix-synapse/replication_federation_sender.sock"
  mediaworker:
    path: "/run/matrix-synapse/replication_mediaworker.sock"
...
  normal_sync1:
    path: "unix:/run/matrix-synapse/replication_normal_sync1.sock"
  normal_sync2:
    path: "unix:/run/matrix-synapse/replication_normal_sync2.sock"
  normal_sync3:
    path: "unix:/run/matrix-synapse/replication_normal_sync3.sock"
```


## Defining a worker

Every working starts with the normal configuration files, and then loads its
own. We put those files under `/etc/matrix-synapse/workers`. You have to
create that directory, and make sure Synapse can read them. Being
profesionally paranoid, we restrict access to that directory and the files in
it:

```
mkdir /etc/matrix-synapse/workers
chown matrix-synapse:matrix-synapse /etc/matrix-synapse/workers
chmod 750 /etc/matrix-synapse-workers
```


### Generic worker

Workers look very much the same, very little configuration is needed. This is
what you need:

* name
* replication socket (not every worker needs this)
* inbound socket (not every worker needs this)
* log configuration

One worker we use handles the login actions, this is how it's configured:

```
worker_app: "synapse.app.generic_worker"
worker_name: "login"
worker_log_config: "/etc/matrix-synapse/logconf.d/login.yaml"

worker_listeners:
  - path: "/run/matrix-synapse/inbound_login.sock"
    type: http
    resources:
      - names:
        - client
        - consent
        - federation

  - path: "/run/matrix-synapse/replication_login.sock"
    type: http
    resources:
      - names: [replication]
```

First listener is the socket where nginx sends all traffic related to logins
to. You have to configure nginx to do that, we'll get to that later.

First line defines the type of worker. In the past there were quite a few
different types, but most of them have been phased out in favour of one
generic worker.

The `worker_log_config` defines how and where the worker logs. Of course you'll
need to configure that too, see further.

The first `listener` is the inbound socket, that nginx uses to forward login
related traffic to. Make sure nginx can write to this socket. The
`resources` vary between workers.

The second `listener` is used for communication with the other workers and the
main thread. The only `resource` it needs is `replication`. This socket needs
to be listed in the `instance_map` in the main thread.

Of course, if you need to scale up to the point where you need more than one
machine, these listeners can no longer use UNIX sockets, but will have to use
the network. This creates extra overhead, so you want to use sockets whenever
possible.


### Media worker

The media worker is slightly different than the generic one. It doesn't use the
`synapse.app.generic_worker`, but a specialised one: `synapse.app.media_repository`.
To prevent the main process from handling media itself, you have to explicitly
tell it to leave that to the worker, by adding this to the configuration (in
our setup `conf.d/listeners.yaml`):

```
enable_media_repo: false
media_instance_running_background_jobs: mediaworker
```

The worker `mediaworker` looks like this:

```
worker_app: "synapse.app.media_repository"
worker_name: "mediaworker"
worker_log_config: "/etc/matrix-synapse/logconf.d/media.yaml"

worker_listeners:
  - path: "/run/matrix-synapse/inbound_mediaworker.sock"
    type: http
    resources:
      - names:
        - media
        - federation

  - path: "/run/matrix-synapse/replication_mediaworker.sock"
    type: http
    resources:
      - names: [replication]
```

If you use more than one mediaworker, know that they must all run on the same
machine; scaling it over more than one machine will not work.


## Worker logging

As stated before, you configure the logging of workers in a separate yaml
file. As with the definitions of the workers themselves, you need a directory for
that. We'll use `/etc/matrix-synapse/logconf.d` for that; make it and fix the
permissions.

There's a lot you can configure for logging, but for now we'll give every
worker the same layout. Here's the configuration for the `login` worker:

```
version: 1
formatters:
  precise:
    format: '%(asctime)s - %(name)s - %(lineno)d - %(levelname)s - %(request)s - %(message)s'
handlers:
  file:
    class: logging.handlers.TimedRotatingFileHandler
    formatter: precise
    filename: /var/log/matrix-synapse/login.log
    when: midnight
    backupCount: 3
    encoding: utf8

  buffer:
    class: synapse.logging.handlers.PeriodicallyFlushingMemoryHandler
    target: file
    capacity: 10
    flushLevel: 30
    period: 5

loggers:
  synapse.metrics:
    level: WARN
    handlers: [buffer]
  synapse.replication.tcp:
    level: WARN
    handlers: [buffer]
  synapse.util.caches.lrucache:
    level: WARN
    handlers: [buffer]
  twisted:
    level: WARN
    handlers: [buffer]
  synapse:
    level: INFO
    handlers: [buffer]

root:
  level: INFO
  handlers: [buffer]
```

The only thing you need to change if the filename to which the logs are
written. You could create only one configuration and use that in every worker,
but that would mean all logs will end up in the same file, which may not be
what you want.

See the [Python
documentation](https://docs.python.org/3/library/logging.config.html#configuration-dictionary-schema)
for all the ins and outs of logging.


# Systemd

You want Synapse and its workers managed by systemd. First of all we define a
`target`: a group of services that belong together.

```
systemctl edit --force --full matrix-synapse.target
```

Feed it with this bit:

```
[Unit]
Description=Matrix Synapse with all its workers
After=network.target

[Install]
WantedBy=multi-user.target
```

First add `matrix-synapse.service` to this target by overriding the `WantedBy`
in the unit file (`systemctl edit matrix-synapse.service`):

```
[Install]
WantedBy=matrix.target
```

The same `WantedBy` need to go in the unit files for every worker. For the
workers we're using a template instead of separate unit files for every single
one. Create the template:

```
systemctl edit --full --force matrix-synapse-worker@
```

Fill it with this content:

```
[Unit]
Description=Synapse %i
AssertPathExists=/etc/matrix-synapse/workers/%i.yaml

# This service should be restarted when the synapse target is restarted.
PartOf=matrix-synapse.target
ReloadPropagatedFrom=matrix-synapse.target

# if this is started at the same time as the main, let the main process start
# first, to initialise the database schema.
After=matrix-synapse.service

[Service]
Type=notify
NotifyAccess=main
User=matrix-synapse
WorkingDirectory=/var/lib/matrix-synapse
EnvironmentFile=-/etc/default/matrix-synapse
ExecStart=/opt/venvs/matrix-synapse/bin/python -m synapse.app.generic_worker --config-path=/etc/matrix-synapse/homeserver.yaml --config-path=/etc/matrix-synapse/conf.d/ --config-path=/etc/matrix-synapse/workers/%i.yaml
ExecReload=/bin/kill -HUP $MAINPID
Restart=always
RestartSec=3
SyslogIdentifier=matrix-synapse-%i

[Install]
WantedBy=matrix-synapse.target
```

Every worker needs to be enabled and started individually. Quickest way to do
that, is to run a loop in the directory:

```
cd /etc/matrix-synapse/workers
for worker in `ls *yaml`; do systemctl enable --now matrix-synapse-worker@$worker; done
```

After a reboot, Synapse and all its workers should be started.