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Message-ID: <20190718170458.GA6139@castle.dhcp.thefacebook.com>
Date: Thu, 18 Jul 2019 17:05:04 +0000
From: Roman Gushchin <guro@...com>
To: Christopher Lameter <cl@...ux.com>
CC: Waiman Long <longman@...hat.com>,
Pekka Enberg <penberg@...nel.org>,
"David Rientjes" <rientjes@...gle.com>,
Joonsoo Kim <iamjoonsoo.kim@....com>,
"Andrew Morton" <akpm@...ux-foundation.org>,
"linux-mm@...ck.org" <linux-mm@...ck.org>,
"linux-kernel@...r.kernel.org" <linux-kernel@...r.kernel.org>,
Michal Hocko <mhocko@...nel.org>,
"Johannes Weiner" <hannes@...xchg.org>,
Shakeel Butt <shakeelb@...gle.com>,
"Vladimir Davydov" <vdavydov.dev@...il.com>
Subject: Re: [PATCH v2 1/2] mm, slab: Extend slab/shrink to shrink all memcg
caches
On Thu, Jul 18, 2019 at 11:38:11AM +0000, Christopher Lameter wrote:
> On Wed, 17 Jul 2019, Waiman Long wrote:
>
> > Currently, a value of '1" is written to /sys/kernel/slab/<slab>/shrink
> > file to shrink the slab by flushing out all the per-cpu slabs and free
> > slabs in partial lists. This can be useful to squeeze out a bit more memory
> > under extreme condition as well as making the active object counts in
> > /proc/slabinfo more accurate.
>
> Acked-by: Christoph Lameter <cl@...ux.com>
>
> > # grep task_struct /proc/slabinfo
> > task_struct 53137 53192 4288 61 4 : tunables 0 0
> > 0 : slabdata 872 872 0
> > # grep "^S[lRU]" /proc/meminfo
> > Slab: 3936832 kB
> > SReclaimable: 399104 kB
> > SUnreclaim: 3537728 kB
> >
> > After shrinking slabs:
> >
> > # grep "^S[lRU]" /proc/meminfo
> > Slab: 1356288 kB
> > SReclaimable: 263296 kB
> > SUnreclaim: 1092992 kB
>
> Well another indicator that it may not be a good decision to replicate the
> whole set of slabs for each memcg. Migrate the memcg ownership into the
> objects may allow the use of the same slab cache. In particular together
> with the slab migration patches this may be a viable way to reduce memory
> consumption.
>
Btw I'm working on an alternative solution. It's way too early to present
anything, but preliminary results are looking promising: slab memory usage
is decreased by 10-40% depending on the workload.
Thanks!
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