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Merge pull request 'Update PGTune recommendations' (#795) from norm/akkoma:pgtune into develop

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Reviewed-on: https://akkoma.dev/AkkomaGang/akkoma/pulls/795
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floatingghost 2024-06-07 12:57:00 +00:00
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docs/docs/configuration/postgresql.md
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@ -4,32 +4,13 @@ Akkoma performance is largely dependent on performance of the underlying databas
## PGTune
[PgTune](https://pgtune.leopard.in.ua) can be used to get recommended settings. Be sure to set "Number of Connections" to 20, otherwise it might produce settings hurtful to database performance. It is also recommended to not use "Network Storage" option.
[PgTune](https://pgtune.leopard.in.ua) can be used to get recommended settings. Make sure to set the DB type to "Online transaction processing system" for optimal performance. Also set the number of connections to between 25 and 30. This will allow each connection to have access to more resources while still leaving some room for running maintenance tasks while the instance is still running.
If your server runs other services, you may want to take that into account. E.g. if you have 4G ram, but 1G of it is already used for other services, it may be better to tell PGTune you only have 3G. In the end, PGTune only provides recomended settings, you can always try to finetune further.
It is also recommended to not use "Network Storage" option.
### Example configurations
If your server runs other services, you may want to take that into account. E.g. if you have 4G ram, but 1G of it is already used for other services, it may be better to tell PGTune you only have 3G.
Here are some configuration suggestions for PostgreSQL 10+.
#### 1GB RAM, 1 CPU
```
shared_buffers = 256MB
effective_cache_size = 768MB
maintenance_work_mem = 64MB
work_mem = 13107kB
```
#### 2GB RAM, 2 CPU
```
shared_buffers = 512MB
effective_cache_size = 1536MB
maintenance_work_mem = 128MB
work_mem = 26214kB
max_worker_processes = 2
max_parallel_workers_per_gather = 1
max_parallel_workers = 2
```
In the end, PGTune only provides recomended settings, you can always try to finetune further.
## Disable generic query plans