Can Someone Help Me Figure Out How to Reduce Jellyfin's Memory Usage to the Same Leve

[21tc_sea]

Docker stats for my test instances.

Code:

CONTAINER ID  NAME                      CPU %    MEM USAGE / LIMIT    MEM %    NET I/O  BLOCK I/O        PIDS
46849591f45b  jellyfin-stable-testing  0.01%    953.9MiB / 31.09GiB  3.00%    0B / 0B  1.63GB / 1.06GB  21
e1db2e291ed3  jellyfin-unstable        0.01%    640.9MiB / 31.09GiB  2.01%    0B / 0B  3.59GB / 3.41GB  17

My stable testing instance has the same library as my production instance, memory stats for my production instance below (package install in Ubuntu).

Code:

chris@rat-trap:~$ ps -p 3816 -o %cpu,%mem,cmd
%CPU %MEM CMD
0.4  2.5 /usr/bin/jellyfin

2.5% of 32GB is ~820MB.

My library.db size for 250 movies, 4400 episodes, 4200 songs, 64 audiobooks, and 500 music videos is 107MB.

Code:

chris@rat-trap:~$ ll -h /var/lib/jellyfin/data/library.db
-rw-r--r-- 1 jellyfin jellyfin 107M Jun 12 10:12 /var/lib/jellyfin/data/library.db

And the metadata directory is 14GB.

Code:

chris@rat-trap:~$ du -sh /var/lib/jellyfin/metadata/
14G    /var/lib/jellyfin/metadata/

So this is where the problem lies! My library.db is 3.5GB, and my Jellyfin container, without any memory limit, is now occupying 15GB. If your library.db is as large as mine, I guess you would also encounter the same awkward situation as me, having to wait a long time for it to finish starting up!