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From: Somnath Roy <Somnath.Roy@sandisk.com>
To: "dillaman@redhat.com" <dillaman@redhat.com>
Cc: "ceph-devel@vger.kernel.org" <ceph-devel@vger.kernel.org>
Subject: RE: Severe performance degradation with jewel rbd image
Date: Wed, 25 May 2016 23:08:15 +0000	[thread overview]
Message-ID: <BL2PR02MB21158B4F676CFDF982E52704F4400@BL2PR02MB2115.namprd02.prod.outlook.com> (raw)
In-Reply-To: <CA+aFP1B_+TqDLNzxpvNYCz_3-Wsc4HAHUtKLzoJ+xUvqNHE0NQ@mail.gmail.com>

Hi Jason,
Yes, I am running on single image but with multiple fio jobs (with numjobs = 10 in the fio parameter) . I expected that this exclusive lock is locking between the jobs and that's why I have posted the single job result. Single job result is *not degrading*.
But, we need numjob and QD combination to extract most performance from an image with fio-rbd. A single librbd instance performance seems to be stuck at 40K and we can't scale this image up without running multiple librbd instances on this in parallel.
16X performance degradation because of this lock seems very destructive.

Thanks & Regards
Somnath

-----Original Message-----
From: Jason Dillaman [mailto:jdillama@redhat.com] 
Sent: Wednesday, May 25, 2016 3:47 PM
To: Somnath Roy
Cc: ceph-devel@vger.kernel.org
Subject: Re: Severe performance degradation with jewel rbd image

Just to eliminate the most straightforward explanation, are you running multiple fio jobs against the same image concurrently?  If the exclusive lock had to ping-pong back-and-forth between clients, that would certainly explain the severe performance penalty.

Otherwise, the exclusive lock is not in the IO path once the client has acquired the exclusive lock.  If you are seeing a performance penalty for a single-client scenario with exclusive lock enabled, this is something we haven't seen and will have to investigate ASAP.

Thanks,

On Wed, May 25, 2016 at 4:48 PM, Somnath Roy <Somnath.Roy@sandisk.com> wrote:
> Hi Mark/Josh,
> As I mentioned in the performance meeting today , if we create rbd image with default 'rbd create' command in jewel , the individual image performance for 4k RW is not scaling up well. But, multiple of rbd images running in parallel aggregated throughput is scaling.
> For the same QD and numjob combination, image created with image format 1 (and with hammer like rbd_default_features = 3) is producing *16X* more performance. I did some digging and here is my findings.
>
> Setup:
> --------
>
> 32 osds (all SSD) over 4 nodes. Pool size = 2 , min_size = 1.
>
> root@stormeap-1:~# ceph -s
>     cluster db0febf1-d2b0-4f8d-8f20-43731c134763
>      health HEALTH_WARN
>             noscrub,nodeep-scrub,sortbitwise flag(s) set
>      monmap e1: 1 mons at {a=10.60.194.10:6789/0}
>             election epoch 5, quorum 0 a
>      osdmap e139: 32 osds: 32 up, 32 in
>             flags noscrub,nodeep-scrub,sortbitwise
>       pgmap v20532: 2500 pgs, 1 pools, 7421 GB data, 1855 kobjects
>             14850 GB used, 208 TB / 223 TB avail
>                 2500 active+clean
>
> IO profile : Fio rbd with QD 128 and numjob = 10 rbd cache is 
> disabled.
>
> Result:
> --------
> root@stormeap-1:~# rbd info recovery_test/rbd_degradation rbd image 
> 'rbd_degradation':
>         size 1953 GB in 500000 objects
>         order 22 (4096 kB objects)
>         block_name_prefix: rb.0.5f5f.6b8b4567
>         format: 1
>
> On the above image with format 1 it is giving *~102K iops*
>
> root@stormeap-1:~# rbd info 
> recovery_test/rbd_degradation_with_hammer_features
> rbd image 'rbd_degradation_with_hammer_features':
>         size 195 GB in 50000 objects
>         order 22 (4096 kB objects)
>         block_name_prefix: rbd_data.5f8d6b8b4567
>         format: 2
>         features: layering
>         flags:
>
> On the above image with hammer rbd features on , it is giving *~105K 
> iops*
>
> root@stormeap-1:~# rbd info recovery_test/rbd_degradation_with_7
> rbd image 'rbd_degradation_with_7':
>         size 195 GB in 50000 objects
>         order 22 (4096 kB objects)
>         block_name_prefix: rbd_data.5fd86b8b4567
>         format: 2
>         features: layering, exclusive-lock
>         flags:
>
> On the above image with feature 7 (exclusive lock feature on) , it is 
> giving *~8K iops*...So, >12X degradation
>
> Tried with single numjob and QD = 128 , performance bumped up till ~40K..Further increasing QD , performance is not going up.
>
>
> root@stormeap-1:~# rbd info recovery_test/rbd_degradation_with_15
> rbd image 'rbd_degradation_with_15':
>         size 195 GB in 50000 objects
>         order 22 (4096 kB objects)
>         block_name_prefix: rbd_data.5fab6b8b4567
>         format: 2
>         features: layering, exclusive-lock, object-map
>         flags:
>
> On the above image with feature 15 (exclusive lock, object map feature 
> on) , it is giving *~8K iops*...So, >12X degradation
>
> Tried with single numjob and QD = 128 , performance bumped up till ~40K..Further increasing QD , performance is not going up.
>
>
> root@stormeap-1:~# rbd info recovery_test/ceph_recovery_img_1 rbd 
> image 'ceph_recovery_img_1':
>         size 4882 GB in 1250000 objects
>         order 22 (4096 kB objects)
>         block_name_prefix: rbd_data.371b6b8b4567
>         format: 2
>         features: layering, exclusive-lock, object-map, fast-diff, deep-flatten
>         flags:
>
> On the above image with feature 61 (Jewel default) , it is giving *~6K 
> iops*...So, *>16X* degradation
>
> Tried with single numjob and QD = 128 , performance bumped up till ~35K..Further increasing QD , performance is not going up.
>
> Summary :
> ------------
>
> 1. It seems exclusive lock feature is degrading performance.
>
> 2. It is degrading a bit further on enabling fast-diff, deep-flatten
>
>
> Let me know if you need more information on this.
>
> Thanks & Regards
> Somnath
>
>
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--
Jason

  reply	other threads:[~2016-05-25 23:22 UTC|newest]

Thread overview: 18+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2016-05-25 20:48 Severe performance degradation with jewel rbd image Somnath Roy
2016-05-25 22:47 ` Jason Dillaman
2016-05-25 23:08   ` Somnath Roy [this message]
2016-05-26  0:50     ` Jason Dillaman
2016-05-26  3:39       ` Somnath Roy
2016-05-26  3:52         ` Jason Dillaman
2016-05-26  4:19           ` Somnath Roy
2016-05-26 13:28             ` Jason Dillaman
2016-05-26 17:47               ` Somnath Roy
2016-05-26 18:02                 ` Samuel Just
2016-05-26 18:17                   ` Jason Dillaman
2016-05-26 18:49                     ` Somnath Roy
2016-05-26 18:52                       ` Jason Dillaman
2016-05-28  7:29                         ` Alexandre DERUMIER
2016-05-28 16:23                           ` Somnath Roy
2016-05-31 19:57                           ` Jason Dillaman
2016-06-01  6:58                             ` Alexandre DERUMIER
2016-05-26  2:01     ` Haomai Wang

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