this post was submitted on 15 Aug 2023
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$ cd lemmy-dir
$ du -sh *
456K    lemmy-ui
15G     pictrs
4.3G    postgres

Guys this is no longer funny please I feel literally chased by the "no space left" message. Please help I don't need those pics I did not upload them

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[–] maor@lemmy.org.il 6 points 11 months ago (1 children)

Thanks a lot, I was looking for this exact kind of community. Posted there <3

[–] xusontha@ls.buckodr.ink 1 points 10 months ago (2 children)
[–] maor@lemmy.org.il 2 points 10 months ago

Haha I'm literally on it right now. My instance crashed a couple of hours ago because of it, so I emptied ~/.rustup to get some time, but idk how to go about it from here. LPP didn't do anything. That seems really curious, does literally everyone use S3?

[–] maor@lemmy.org.il 1 points 10 months ago* (last edited 10 months ago)

Okay, you may not gonna like it but I rented a 1TB storage box from Hetzner for 3 euros a month, just to get that foot off my neck. It's omega cheap and mountable via CIFS so life is good for now. I'm still interested in what I described in the OP, and I even started scribbling some Python, but I'm too scared of fucking anything up as of now.

The annoying part in writing that script was discovering that the filenames on disk don't match the filenames in the URLs. E.g., given this URL:
https://lemmy.org.il/pictrs/image/e6a0682b-d530-4ce8-9f9e-afa8e1b5f201.png. You'd expect that somewhere inside volumes/pictrs you'd find e6a0682b-d530-4ce8-9f9e-afa8e1b5f201.png, right...? So that's not how it works, the filenames are of the exact same format but they don't match.

So my plan was to find non-local posts from the post table, check whether the thumbnail_url column starts with lemmy.org.il (assuming that means my instance cached it), then finding the file by downloading it via the URL and scanning the pictrs directory for files that match the exact size in bytes of the downloaded files. Once found, compare their checksums to be sure it's the same one, then delete it and delete its post entry in the database.

When get close to 1TB I'll get back here for this idea... :P