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Ciarán Ainsworth 2022-07-23 13:32:35 +00:00 • committed by JuniorJPDJ
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docs/administrator_documentation/configuration_docs/optimize.md
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@ -16,42 +16,47 @@ Reducing the number of celery workers slows down the handling of asynchronous ta
Celery uses a `prefork` pool by default. This enables the server to process many tasks at the same time. You can switch to a `solo` pool which handles tasks one at a time. This reduces memory overhead but removes the ability to process tasks concurrently.
````{tabbed} Debian
::::{tab-set}
:::{tab-item} Debian
:sync: debian
1. Open your `funkwhale-worker` unit file in an editor.
```{code} bash
sudo nano /etc/systemd/system/funkwhale-worker.service
```
```{code} bash
sudo nano /etc/systemd/system/funkwhale-worker.service
```
2. Add the `--pool=solo` flag to the `ExecStart` line of your unit file.
```{code} text
ExecStart=/srv/funkwhale/.local/bin/poetry run celery -A --pool=solo funkwhale_api.taskapp worker -l INFO --concurrency=${CELERYD_CONCURRENCY}
```
```{code} text
ExecStart=/srv/funkwhale/.local/bin/poetry run celery -A --pool=solo funkwhale_api.taskapp worker -l INFO --concurrency=${CELERYD_CONCURRENCY}
```
3. Restart the Celery service.
```{code} bash
sudo systemctl restart funkwhale-worker.service
```
```{code} bash
sudo systemctl restart funkwhale-worker.service
```
````
:::
````{tabbed} Docker
:::{tab-item} Docker
:sync: docker
1. Add the `--pool=solo` flag to the `celerybeat` command in `docker-compose.yml`.
```{code} yaml
celerybeat:
…
command: celery -A --pool=solo funkwhale_api.taskapp beat --pidfile= -l INFO
```
```{code} yaml
celerybeat:
…
command: celery -A --pool=solo funkwhale_api.taskapp beat --pidfile= -l INFO
```
2. Restart Celery.
```{code} bash
docker-compose restart celerybeat
```
```{code} bash
docker-compose restart celerybeat
```
````
:::
::::