[laumars]

Yeah, that’s the kernel caching that (as I described) not some hardware specific thing the CPU is doing. Not disagreeing with you that L1 and L2 cache does exist on the CPU (and L3 in some instances) but it is much too small to hold the kind of data you’re suggesting. It’s really the kernel freeable memory (or file system driver - eg in the case if ZFS) where file system data - inc file contents too - will be cached. The CPU cache is much more valuable for application data to fill with file system meta data (in my personal opinion, you might override that behaviour in nnn but I’d hope not)

However regardless of where that cache is, it’s volatile, it’s freeable. And thus you cannot guarantee it will be there when you need it. Particularly on systems with less system memory (remember that’s one of your target demographics).

If you wanted though, you could easily check if a particular file is cached and if not, perform the rescan. I can’t recall the APIs to do that off hand but it would be platform specific and not all encompassing (eg ZFS cache is separate to the kernels cache on Linux and FreeBSD) so it wouldn’t be particularly reliable nor portable. Plus depending on the syscall used, you might find it’s more overhead than an actual refresh on all but a rare subset of edge cases. As an aside, this is why I would build my own cache. Sure it cost more RAM but it was cheaper in the long run - fewer syscalls, less kernel/user space memory swapping, easier to track what is in cache and what is not, etc. But obviously the cost is I lose precision with regards to when a cache goes stale.

While on the topic of stale caches, I’ve actually ran into issues on SunOS (or was it Linux? I used a lot of platforms back then) where contents on an NFS volume could be updated on one host but various other connected machines wouldn’t see the updated file without doing a ‘touch’ on that file from those machines. So stale caches is something that can affect the host as well.

[apjana]

> but it is much too small to hold the kind of data you’re suggesting

My toy has a 3 MB L1 cache, 8 MB L2. You'll notice from the same figures that the resident memory usage of `nnn` was 3616 KB. And in the default start (not du) right now the figure is:

      PID USER      PR  NI    VIRT    RES    SHR S  %CPU %MEM     TIME+ COMMAND                                
    23034 vaio      20   0   14692   3256   2472 S   0.0  0.0   0:00.00 nnn -c 1 -i

So it required around 350 KB for `du`. Oh yes, it can be cached at will.

> check if a particular file is cached and if not

I am a userland utility. I don't add deps on fs drivers (and maintain redundant code... I discourage code bloat as much as feature bloat) when standard APIs are available to read, write, stat.

> However regardless of where that cache is, it’s volatile, it’s freeable.

Yes!!! The worst case! And the worst case for you is where all dirs have changed. There you issue rescan, `nnn` issues rescan. `nnn` is accurate because it doesn't omit independent files for _personal_ optimization preferences. You do. You show _stale_, _wrong_ info in the worst case.

[laumars]

3MB is not enough to store the kind of data you’re talking about. In your example you were coping files from an SSD to a removable device; what happens if that file is 4MB big? Or 20MB?

Some program executables are multiple megabytes in size these days, your CPU cache is much more valuable storing that than it is storing a random 20MB XLSX file you happened to copy half an hour earlier. ;)

> You do. You show wrong info in the worst case.

Yes, I’d repeatedly said that myself. However I was making a case study rather than giving a lecture on how your tool should be written. Remember when I said “there is no right or wrong answer”? (You have ignored my point that you cannot guarantee the kernels / fs drivers cache isn’t also stale though. That does happen in some rare edge cases).

My point is you shouldn’t be so certain that you’re method is the best because there are plenty of scenarios when accuracy and low memory usage is more costly (eg the fastest file copying tools are those that buffer data - costing more RAM during usage). Plus let’s not forget that syscalls are expensive too. But that’s the trade off you take and that is what is advantageous for the perpose you’re targeting nnn for.

So there really isn’t a right or wrong answer here at all and memory usage is in fact only a very small part of the equation (which is what the other projects author what trying to say).

[apjana]

> Some program executables are multiple megabytes in size these days

I have shared the figures from my system right now in my earlier comment. The memory required for the meta info is extremely cache-able.

And yes, let's call it a day now. In fact, I am happy we had a very informative discussion towards the end. This is what I expected from the other dev and you from the very beginning. I am always ready for a productive non-abusive technical discussion. And if I find someday `ncdu` takes comparable/lesser memory than `nnn` I will update that data verbatim as well. But I wouldn't take uncalled-for shitstorm in public forums from strangers lying low.

[laumars]

But that’s what you’re storing in the system memory, not CPU cache. Ok let’s say the kernel does cache recently accessed memeory in the L2 cache, you’re still competing with everything else - particularly in a multi-user or multi-threaded system. So that is not going to stay in L2 for long.

You’re making so many assumptions about the host platform and they simply don’t stack up for the majority of cases - it’s just that most systems are fast enough to hide your incorrect assumptions.

Also your understanding of how file system caching works is completely off. Granted that’s not something most normal engineers need to worry about, but given the claims you’re making about nnn, I would suggest you spend a little time researching the fundamentals here.

Edit:

> I am happy we had a very informative discussion towards the end. This is what I expected from the other dev

That was exactly what the other dev was doing. You just weren’t ready to listen to him - which is why I started making comments about your “narky” replies. ;)

[apjana]

Well, I shared the numbers, I gave you ways to test it. We are done here.

[laumars]

but You’re not proving that the data you are expecting to be in L2 actually ends up in L2. Let alone persists long enough to be recalled from L2 when you do your rescans. Your test is crude and thus doesn’t prove anything. Which is what we have all been telling you right from the start!!!!

You cannot just throw numbers up and say “look I’m right” if the test of flawed from the outset.

But yes, it’s probably better we do call it a day.