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- synctl(1) -- Synapse server control interface
- =============================================
- ## SYNOPSIS
- Start, stop or restart synapse server.
- `synctl` {start|stop|restart} [configfile] [-w|--worker=<WORKERCONFIG>] [-a|--all-processes=<WORKERCONFIGDIR>]
- ## DESCRIPTION
- **synctl** can be used to start, stop or restart Synapse server. The
- control operation can be done on all processes or a single worker
- process.
- ## OPTIONS
- * `action`:
- The value of action should be one of `start`, `stop` or `restart`.
- * `configfile`:
- Optional path of the configuration file to use. Default value is
- `homeserver.yaml`. The configuration file must exist for the
- operation to succeed.
- * `-w`, `--worker`:
- Perform start, stop or restart operations on a single worker.
- Incompatible with `-a`|`--all-processes`. Value passed must be a
- valid worker's configuration file.
- * `-a`, `--all-processes`:
- Perform start, stop or restart operations on all the workers in
- the given directory and the main synapse process. Incompatible
- with `-w`|`--worker`. Value passed must be a directory containing
- valid work configuration files. All files ending with `.yaml`
- extension shall be considered as configuration files and all other
- files in the directory are ignored.
- ## CONFIGURATION FILE
- Configuration file may be generated as follows:
- $ python -m synapse.app.homeserver -c config.yaml --generate-config --server-name=<server name>
- ## ENVIRONMENT
- * `SYNAPSE_CACHE_FACTOR`:
- Synapse's architecture is quite RAM hungry currently - we deliberately
- cache a lot of recent room data and metadata in RAM in order to speed up
- common requests. We'll improve this in the future, but for now the easiest
- way to either reduce the RAM usage (at the risk of slowing things down)
- is to set the almost-undocumented ``SYNAPSE_CACHE_FACTOR`` environment
- variable. The default is 0.5, which can be decreased to reduce RAM usage
- in memory constrained enviroments, or increased if performance starts to
- degrade.
- However, degraded performance due to a low cache factor, common on
- machines with slow disks, often leads to explosions in memory use due
- backlogged requests. In this case, reducing the cache factor will make
- things worse. Instead, try increasing it drastically. 2.0 is a good
- starting value.
- ## COPYRIGHT
- This man page was written by Sunil Mohan Adapa <<sunil@medhas.org>> for
- Debian GNU/Linux distribution.
- ## SEE ALSO
- synapse_port_db(1), hash_password(1), register_new_matrix_user(1)
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