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Message-ID: <eacf9cf7-7c93-4e68-b6f3-cf6b252a802a@huaweicloud.com>
Date: Wed, 21 May 2025 09:48:19 +0800
From: Chen Ridong <chenridong@...weicloud.com>
To: Jann Horn <jannh@...gle.com>, Alexey Gladkov <legion@...nel.org>
Cc: akpm@...ux-foundation.org, Liam.Howlett@...cle.com,
lorenzo.stoakes@...cle.com, vbabka@...e.cz, pfalcato@...e.de,
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lujialin4@...wei.com, "Serge E. Hallyn" <serge@...lyn.com>,
David Howells <dhowells@...hat.com>
Subject: Re: [RFC next v2 0/2] ucounts: turn the atomic rlimit to
percpu_counter
On 2025/5/20 5:24, Jann Horn wrote:
> On Mon, May 19, 2025 at 11:01 PM Alexey Gladkov <legion@...nel.org> wrote:
>> On Mon, May 19, 2025 at 09:32:17PM +0200, Jann Horn wrote:
>>> On Mon, May 19, 2025 at 3:25 PM Chen Ridong <chenridong@...weicloud.com> wrote:
>>>> From: Chen Ridong <chenridong@...wei.com>
>>>>
>>>> The will-it-scale test case signal1 [1] has been observed. and the test
>>>> results reveal that the signal sending system call lacks linearity.
>>>> To further investigate this issue, we initiated a series of tests by
>>>> launching varying numbers of dockers and closely monitored the throughput
>>>> of each individual docker. The detailed test outcomes are presented as
>>>> follows:
>>>>
>>>> | Dockers |1 |4 |8 |16 |32 |64 |
>>>> | Throughput |380068 |353204 |308948 |306453 |180659 |129152 |
>>>>
>>>> The data clearly demonstrates a discernible trend: as the quantity of
>>>> dockers increases, the throughput per container progressively declines.
>>>
>>> But is that actually a problem? Do you have real workloads that
>>> concurrently send so many signals, or create inotify watches so
>>> quickly, that this is has an actual performance impact?
>>>
>>>> In-depth analysis has identified the root cause of this performance
>>>> degradation. The ucouts module conducts statistics on rlimit, which
>>>> involves a significant number of atomic operations. These atomic
>>>> operations, when acting on the same variable, trigger a substantial number
>>>> of cache misses or remote accesses, ultimately resulting in a drop in
>>>> performance.
>>>
>>> You're probably running into the namespace-associated ucounts here? So
>>> the issue is probably that Docker creates all your containers with the
>>> same owner UID (EUID at namespace creation), causing them all to
>>> account towards a single ucount, while normally outside of containers,
>>> each RUID has its own ucount instance?
>>>
>>> Sharing of rlimits between containers is probably normally undesirable
>>> even without the cacheline bouncing, because it means that too much
>>> resource usage in one container can cause resource allocations in
>>> another container to fail... so I think the real problem here is at a
>>> higher level, in the namespace setup code. Maybe root should be able
>>> to create a namespace that doesn't inherit ucount limits of its owner
>>> UID, or something like that...
>>
>> If we allow rlimits not to be inherited in the userns being created, the
>> user will be able to bypass their rlimits by running a fork bomb inside
>> the new userns.
>>
>> Or I missed your point ?
>
> You're right, I guess it would actually still be necessary to have one
> shared limit across the entire container, so rather than not having a
> namespace-level ucount, maybe it would make more sense to have a
> private ucount instance for a container...
>
It sounds like the private ucounts were what I was trying to implement
in version 1? It applies batch counts from the parent for each user
namespace, but the approach is complex.
Best regards,
Ridong
> (But to be clear I'm not invested in this suggestion at all, I just
> looked at that patch and was wondering about alternatives if that is
> actually a real performance problem...)
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