Quodlibet reacting slow - solution ?

[fumohr]

Hi there,
I have a HUGE music collection of mainly FLAC songs (130.000+). With that collection Quodlibet gets very slowly, on starting and especially during browsing through the songs, it is even like frozen every few minutes, not reacting to clicks anymore.

When I just put 20. or 30.000 songs to the library, startup ist still a little slow, but after that its lightning fast and responding very well.

So I am looking for a solution to make everything quicker with the full library.

I think the main problem is my old hardware:
Asrock A320 pro4 Mainboard,
AMD Ryzen 3 2200G CPU,
8 GB RAM (Viper, 2x4GB, 2166 MHz, CL-15)
Crucial 1TB SSD for System / Programs
Seagate 12TB HDD with 7200 upm

System is Linuxmint Zara 22.2, everything up to date
Quodlibet ist the newest update in the Linuxmint-Distro (v.4.6...)

I have dual boot with Windows 10, and under win Quodlibet behaves (windows version) more or less the same.

My first guessing was putting 16GB RAM instead of 8, but when i was using the mint resource monitor, it showed only 6,1 GB of RAM in use when quodlibet was lagging.

It also showed CPU on 100%, but just one core of the four, the other 3 cores only on 2-7%.
So maybe better use a stronger CPU ?

The 12TB HDD already is several years younger then the rest of the bunch, so it is the most modern part.

I also thought to divide the library into 3 or 4 independant parts, but is that possible ?
Is there a recommended maximum of songs ?

Or do I have just too much music (of course I have, but thats my addiction .... 😁).

Any suggestion is very welcome !
Cheers
Francesco

[declension]

Hi. Sorry, missed this before.

That's definitely a very large library.

It also showed CPU on 100%, but just one core of the four, the other 3 cores only on 2-7%.

Yes, this is typical Python unfortunately. We could do better with launching separate processes for scanning on big libraries, maybe.

Seagate 12TB HDD with 7200 upm

I guess if you have 130k songs then it's not an option... but if you can get an SSD big enough that would help a lot at scanning time, if that's a problem. Once loaded, won't make much difference I suspect.

So maybe better use a stronger CPU ?

Yes, this would help a lot! Not multicore so much, but just a fast modern CPU will get a lot more.

I'm not an expert, but https://gadgetversus.com/processor/amd-ryzen-9-vs-amd-ryzen-3/ would indicate that a Ryzen 9 would massively improve on a Ryzen 3 for single core.

[fumohr]

Hi, thanks for your message !
First, because I still had 2 empty RAM slots, I now put another 8 GB, so I have a total of 16 GB now. I think, before there was some swapping, now there is not.
Ryzen 9 is very expensive, but the Ryzen 7 5700G fits into my motherboard (AM4 !), so that will be the next upgrade.
The quodlibet behaviour is strange now: its always loading some serious time, 2-3 minutes, before its reacting to any input.
But then, after loading, sometimes its really snappy and fluent, other times its still lagging a lot, doesnt react to any input for a minute or even more. These both conditions under the same conditions: no other programs running, after a reboot. So the additional RAM is helping seriously, but just in one of two cases .....

Apart from that:
I tried Strawberry now, which unfortunately does not have the tagging abilities of quodlibet, but it is fluent all the time, I dont have to wait at all.
I will see which one I use on a regular basis.

Thanks again !

[fumohr]

Ah, your suggestion changing to SSD:
you are right, its not an option 😁