Re: [PATCH 00 of 41] Transparent Hugepage Support #17

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On 04/12/2010 12:26 PM, Nick Piggin wrote:
On Mon, Apr 12, 2010 at 12:03:18PM +0300, Avi Kivity wrote:
On 04/12/2010 11:28 AM, Nick Piggin wrote:
We use the "try" tactic extensively.  So long as there's a
reasonable chance of success, and a reasonable fallback on failure,
it's fine.

Do you think we won't have reasonable success rates?  Why?
After the memory is fragmented? It's more or less irriversable. So
success rates (to fill a specific number of huges pages) will be fine
up to a point. Then it will be a continual failure.
So we get just a part of the win, not all of it.
It can degrade over time. This is the difference. Two idencial workloads
may have performance X and Y depending on whether uptime is 1 day or 20
days.

I don't see why it will degrade. Antifrag will prefer to allocate dcache near existing dcache.

The only scenario I can see where it degrades is that you have a dcache load that spills over to all of memory, then falls back leaving a pinned page in every huge frame. It can happen, but I don't see it as a likely scenario. But maybe I'm missing something.

Sure, some workloads simply won't trigger fragmentation problems.
Others will.
Some workloads benefit from readahead.  Some don't.  In fact,
readahead has a higher potential to reduce performance.

Same as with many other optimizations.
Do you see any difference with your examples and this issue?

Memory layout is more persistent. Well, disk layout is even more persistent. Still we do extents, and if our disk is fragmented, we take the hit.

Well, I'll accept what you say since I'm nowhere near as familiar
with the code.  But maybe someone insane will come along and do it.
And it'll get nacked :) And it's not only dcache that can cause a
problem. This is part of the whole reason it is insane. It is insane
to only fix the dcache, because if you accept the dcache is a problem
that needs such complexity to fix, then you must accept the same for
the inode caches, the buffer head caches, vmas, radix tree nodes, files
etc. no?

inodes come with dcache, yes. I thought buffer heads are now a much smaller load. vmas usually don't scale up with memory. If you have a lot of radix tree nodes, then you also have a lot of pagecache, so the radix tree nodes can be contained. Open files also don't scale with memory.

Yet your effective cache size can be reduced by unhappy aliasing of
physical pages in your working set.  It's unlikely but it can
happen.

For a statistical mix of workloads, huge pages will also work just
fine.  Perhaps not all of them, but most (those that don't fill
_all_ of memory with dentries).
Like I said, you don't need to fill all memory with dentries, you
just need to be allocating higher order kernel memory and end up
fragmenting your reclaimable pools.

Allocate those higher order pages from the same huge frame.

And it's not a statistical mix that is the problem. The problem is
that the workloads that do cause fragmentation problems will run well
for 1 day or 5 days and then degrade. And it is impossible to know
what will degrade and what won't and by how much.

I'm not saying this is a showstopper, but it does really suck.


Can you suggest a real life test workload so we can investigate it?

These are all anonymous/pagecache loads, which we deal with well.
Huh? They also involve sockets, files, and involve all of the above
data structures I listed and many more.

A few thousand sockets and open files is chickenfeed for a server. They'll kill a few huge frames but won't significantly affect the rest of memory.


And yes, Linux works pretty well for a multi-workload platform. You
might be thinking too much about virtualization where you put things
in sterile little boxes and take the performance hit.

People do it for a reason.
The reasoning is not always sound though. And also people do other
things. Including increasingly better containers and workload
management in the single kernel.

Containers are wonderful but still a future thing, and even when fully implemented they still don't offer the same isolation as virtualization. For example, the owner of workload A might want to upgrade the kernel to fix a bug he's hitting, while the owner of workload B needs three months to test it.

The whole point behind kvm is to reuse the Linux core.  If we have
to reimplement Linux memory management and scheduling, then it's a
failure.
And if you need to add complexity to the Linux core for it, it's
also a failure.

Well, we need to add complexity, and we already have. If the acceptance criteria for a feature would be 'no new complexity', then the kernel would be a lot smaller than it is now.

Everything has to be evaluated on the basis of its generality, the benefit, the importance of the subsystem that needs it, and impact on the code. Huge pages are already used in server loads so they're not specific to kvm. The benefit, 5-15%, is significant. You and Linus might not be interested in virtualization, but a significant and growing fraction of hosts are virtualized, it's up to us if they run Linux or something else. And I trust Andrea and the reviewers here to keep the code impact sane.


I'm not saying to reimplement things, but if you had a little bit
more support perhaps. Anyway it's just ideas, I'm not saying that
transparent hugepages is wrong simply because KVM is a big user and it
could be implemented in another way.

What do you mean by 'more support'?

But if it is possible for KVM to use libhugetlb with just a bit of
support from the kernel, then it goes some way to reducing the
need for transparent hugepages.

kvm already works with hugetlbfs. But it's brittle, it means we have to choose between performance and overcommit.

Not everything, just the major users that can scale with the amount
of memory in the machine.
Well you need to audit, to determine if it is going to be a problem or
not, and it is more than only dentries. (but even dentries would be a
nightmare considering how widely they're used and how much they're
passed around the vfs and filesystems).

pages are passed around everywhere as well. When something is locked or its reference count doesn't match the reachable pointer count, you give up. Only a small number of objects are in active use at any one time.

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