So here’s my situation:

I’m on Fedora 40 on a laptop and I’ve recently decided to add a Hibernate option to my own logout/powermenu script that I use. The script executes systemctl hibernate but there’s a problem. It didn’t seem to work. When I ran the above command in terminal, I got an error stating that there’s not enough suitable swap space for that. Turns out that I’m using swap-to-zram hence why Hibernate doesn’t work.

So, I decided to ask ChatGPT and it recommended creating a swapfile. I can do that no problem.

The thing is, if I’m using swap-to-zram, I concluded it is likely that if I’m making use of that swap-to-zram all the time, I will probably need a larger swapfile for the hibernation.

So I asked our AI overlords if there’s a risk in that. It said there isn’t any real risk, other than increased drive wear-and-tear and potential performance issues.

Dear Linux users of Lemmy, are there any issues or concerns I should be aware of before attempting something like this (running multiple types of swap simultaneously, excess swapfile space, etc.)? Thank you.

Edit: Not sure how relevant it is, seeing as I’m not asking about swap partitions, but I’ll mention using BTRFS, just in case. And no, I don’t know anything about it, I just know it has cool features I’m yet to start learning about.

  • theshatterstone54OP
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    23 days ago

    Okay, my concern was that if I have, say 1.4G in zram, that would unpack to, say, 2G, which, when added to 7G, would go over the 8G limit. I was worried that RAM might be saved in its uncompressed manner, when saved in the swapfile for hibernation.

    • gnuhaut@lemmy.ml
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      23 days ago

      I think the hibernation image is compressed by default (all of it). Also, some of what is in your RAM is just files from disk. I think those don’t need to be saved into the hibernation image, since they’re already on disk. For example, libc.so.6 would definitely be in RAM and in use, but it’s also on disk, so no need to save it during hibernate.

      So the hibernation image should be substantially smaller than your used RAM.