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Merge pull request 'Docs: Changes to pgtune docs' (#449) from ilja/akkoma:docs_small_adition_to_pgtune into develop

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Reviewed-on: https://akkoma.dev/AkkomaGang/akkoma/pulls/449
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floatingghost 2023-01-30 11:25:46 +00:00
parent d601ddeb91 377527ea03
commit 702979bca3
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docs/docs/configuration/postgresql.md
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@ -6,6 +6,31 @@ Akkoma performance is largely dependent on performance of the underlying databas
[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.
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.
### Example configurations
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
```
## Disable generic query plans
When PostgreSQL receives a query, it decides on a strategy for searching the requested data, this is called a query plan. The query planner has two modes: generic and custom. Generic makes a plan for all queries of the same shape, ignoring the parameters, which is then cached and reused. Custom, on the contrary, generates a unique query plan based on query parameters.
@ -23,26 +48,3 @@ config :pleroma, Pleroma.Repo,
```
A more detailed explaination of the issue can be found at <https://blog.soykaf.com/post/postgresql-elixir-troubles/>.
## Example configurations
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
```