Heyho,
as a PostgreSQL guy, i’m currently working an tooling environment to simulate load on a lemmy instance and measure the database usage.
The tooling is written in Go (just because it is easy to write parallel load generators with it) and i’m using tools like PoWA to have a deep look at what happens on the database.
Currently, i have some troubles with lemmy itself, that make it hard to realy stress the database. For example the worker pool is far to small to bring the database near any real performance bootlenecks. Also, Ratelimiting per IP is an issue.
I though about ignoring the reverse proxy in front of the lemmy API and just spoof Forwarded-For headers to work around it.
Any ideas are welcome. Anyone willing to help is welcome.
Goals if this should be:
- Get a good feeling for the current database usage of lemmy
- Optimize Statements and DB Layout
- Find possible improvements by caching
As your loved core devs for lemmy have large Issue Tracker backlog, some folks that talk rust fluently would be great, so we can work on this dedicated topic and provide finished PR’s
Greatings, Loki (@tbe on github)
The docker-compose.yml file in the
dockerfolder has a config for postgres logging. We use it to diagnose performance issues in prod. There’s a DB tag on the lemmy issue tracker, I suggest using that to track performance issues.The problem is we need to get some data out of the big sites, Beehaw, Lemmy.ml, Lemmy.world - so that we can see what it is like having far more comments, likes, federation activity, and interactive user loads.
Is someone with a big instance willing to publish their logs?
These log settings are not very good for production. The DB would spend more time logging, then working.
But: We can simulate this kinds of load with local toolings. My first tests look quiet promising, if i would only find the bug in my old pg-exporter i wrote for mal last employer ;) (yes, it is open source).