- cross-posted to:
- opensource@lemmy.ml
- cross-posted to:
- opensource@lemmy.ml
cross-posted from: https://aussie.zone/post/36389875
Why jump from 10.11.11 directly to 12.0? -> Blog Post
You can find more details about and discuss this release on the official forums.
As always, please ensure you stop your Jellyfin server and take a full backup of your metadata/configs before upgrading!
Direct upgrades from 10.10.7 and 10.11.x to 12.0 are supported; intermediate upgrades are not required. Users running releases older than 10.10.7 are strongly encouraged to upgrade to 10.10.7 before migrating to 12.0.
Installed repository plugins (anything not built-in) should also be removed before migrating. Plugins will likely need time to adapt to the new database changes, so re-adding them afterward is the safest approach for testing.
Official plugins compatible with Jellyfin are available through the stable plugin repository. If you have changed to the unstable plugin repository please change it back.
Go to Dashboard -> Plugins -> Manage Repositories Update the Plugin Repository URL to: https://repo.jellyfin.org/files/plugin/manifest.jsonAfter migrating please perform the following steps.
Perform a full library scan to restore alternative versions Run the "Optimize database" scheduled task___
Any changes to the massive memory footprint of JF? I’m basically stuck on Plex because JF eats multiple gigabytes of my very limited RAM.
Yeah that mostly ironed out by 11.11.
But its also a different philosophy where JF caches more in RAM than it did before, but that’s available for use by other proceases if needed.
Does it actually? My VM has a lot of RAM, and Proxmox reports usage always around 90%, but that’s no matter how much RAM it ACTUALLY has, because almost all of that is cache and not strictly necessary.
free -mshows Jellyfin using maybe 2 Gigs.You could just upgrade, I assume RAM is cheap, haven’t looked in a while, just let me look up memory prices real quick…
They died from the shock. 😔
@jj4211 @german Be sure to take a big swig of coffee first!
Only if either your app requires it to transcode. My cpu is maxed if i try to play off chrome on my phone, but the same file on the jellyfin app keeps it under 1%
@german @selfhosted @Mountaineer
All my homelab uses around 2gb of ram with 20 services, jf one of them.
One thing, I use hw accel with vaapi
If it’s direct play, this makes sense, but it sounds like maybe they are transcoding video
@Statick
That’s what I thought…
JF uses south of 480 mb right now on my rpi4 2gb when idling. It plays fine too, though struggles with transcoding.