I just solved a problem with my OpenSUSE 15.0 machine that I thought I would share in case anyone has the same issue in the future. It might be something obvious to some and it might be something that is posted in a thousand troubleshooting guides. But I did not come across it in my (short) search for answers. No telling what the search engines might put in front of someone so here it is in case anyone ever comes across it. If you find it obvious or redundant please just ignore it.

My system suddenly started running extremely slow. Did a zypper update and multiple reboots and no joy. Then something occurred to me. It was behaving as if it was low on memory. Maybe the swap partition is FUBAR?

So I went into Partitioner, deleted the swap partition and recreated / formated it. Things were instantly back to normal.

This behaviour is strange.
Last autumn is switched from Opensuse 15.0 to Manjaro 18.0.

Indeed odd - never had a bad swap partition. Never had a bad experience with OpenSUSE Leap 15 either. As long as it worked for you.

It's funny you should bring this up. I run OpenSUSE 15 with Plasma and i too had a slow down last week. I didn't reformat anything but after a zypper up and two reboots my computer is now back to normal. How strange.

So, was your swap or main memory (RAM) full?

I think you would have some dire problems if your swap partition was corrupted. On the other hand, it should be known that swap many times slower than main memory, so it's not surprising that after you reset your swap things were snappy again.

You don't have to remake and format a swap partition to empty out your swap. In the future, you can run "swapoff --all", probably with sudo, and the kernel will try to move everything back into RAM. Then you can "sudo swapon --all" to turn it back on.

Your system probably has tools to review your system resources, either in GUI format (I don't have the names handy), or in CLI format like htop or top.

Be careful with your linux system. Playing around with partitions can be pretty dangerous to your data. Sometimes, you need to use a smaller, more specific tool to solve your real problems.

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