I'm assuming you mean the jellyfin server and not the Android TV client specifically.
Running the jellyfin server on an SBC is possible, I'm running it on a pi 4 right now. Personally, I'd recommend installing docker and running the service in a container. There's official docs for how to do so https://jellyfin.org/docs/general/installation/container/
That being said, Jellyfin docs recommend against running on an SBC. I too, running it on an SBC, recommend against it. It can do the "happy path" well. But if the stored media is in a format that requires the server to transcode it for the current, it cannot handle it. The time it takes to transcode is several times longer than the actual run time of the media. You will have a bad time. I'm currently looking to change/upgrade the hardware to work around this
I see other commenters saying you should use docker. And I agree. If you are set on doing this without learning docker, feel free to ignore this comment.
Otherwise, I would argue that learning docker and docker compose is a good investment for your linux learning. The TL;DR of docker is that it is a way to run software like jellyfin, which is prone to issues like you are currently seeing when running on "bare metal" (here defined as simply: not running in docker), in an environment created specifically for that software.
Docker makes it so other (usually really knowledgeable) people can set up a server that runs some software properly. It has all the files in the right place, any recurring jobs happening, all the permissions set up, etc. And then, they create a snapshot of that server and put it in a docker image. That image is publicly distributed and others (like you and me) can take that image to start a container. The terms are not super intuitive. But an image can be thought of as a "snapshot" of a specific computer at a specific time; it is usually set up to run a specific task. And a container is an actually running instance built off one of those snapshots.
To tie this into your use case, the idea is that you use docker to take a popular and robust jellyfin image and use docker to create a container that's running jellyfin smooth as silk for you to use. Docker is popular amongst the self-hosting community because containers don't tend to run into issues like you see above. Docker and/or the image itself control what environment variables they receive, what other software might be running with them, and a whole host of other headaches that come with running the service "bare metal."
Some comments mention Docker Compose. This can be thought of as an extension to docker functionality. To run a container in docker, you'll run a command like
docker run -d <a whole goddamn host of arguments> lscr.io/linuxserver/jellyfin:latestwherelscr.io/linuxserver/jellyfinis the image you want to use andlatestis the tag (which is essentially the image's version except that some tags, like latest, change what they point to). This is totally fine and will work. But it's hard to make updates. The "whole goddamn host of arguments" will have important information about how your host server interacts with the container. It'll specify things like what ports from your host are forwarded to the container, what files from within the container persist after it has been stopped, and what environment variables the container runs with. With "base" docker, you need to run a command like this to bring up a container, which can get hugely cumbersome if you'rr maintaining a lot of services in containers or are trying to experiment with different container arguments. Docker Compose is a way to specify containers you want to bring up in a YAML file so that you don't need to type out or remember each service's command every time. I would strongly recommend using Docker Compose as well.So, I'd recommend taking the time to install Docker and Docker Compose. And then the little extra learning curve to use them to run jellyfin in a container. It will take more time now, but save you time in the long run. You will know you have installed docker and docker compose correctly if you can run the command
docker --versionand see your version information anddocker compose versionand similarly see version information.Appendix:
My last note: we all started as noobs. I give this advice because it is the advice I would give my earlier self. I believe that the time investment in this now will save you a lot of pain both in avoiding the debugging now and in avoiding this debugging in future. Please feel free to reach out if you have questions.