SSD journal deployment experiences

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Backing up slightly, have you considered RAID 5 over your SSDs?
 Practically speaking, there's no performance downside to RAID 5 when your
devices aren't IOPS-bound.

On Sat Sep 06 2014 at 8:37:56 AM Christian Balzer <chibi at gol.com> wrote:

> On Sat, 6 Sep 2014 14:50:20 +0000 Dan van der Ster wrote:
>
> > September 6 2014 4:01 PM, "Christian Balzer" <chibi at gol.com> wrote:
> > > On Sat, 6 Sep 2014 13:07:27 +0000 Dan van der Ster wrote:
> > >
> > >> Hi Christian,
> > >>
> > >> Let's keep debating until a dev corrects us ;)
> > >
> > > For the time being, I give the recent:
> > >
> > > https://www.mail-archive.com/ceph-users at lists.ceph.com/msg12203.html
> > >
> > > And not so recent:
> > > http://www.spinics.net/lists/ceph-users/msg04152.html
> > > http://comments.gmane.org/gmane.comp.file-systems.ceph.devel/10021
> > >
> > > And I'm not going to use BTRFS for mainly RBD backed VM images
> > > (fragmentation city), never mind the other stability issues that crop
> > > up here ever so often.
> >
> >
> > Thanks for the links... So until I learn otherwise, I better assume the
> > OSD is lost when the journal fails. Even though I haven't understood
> > exactly why :( I'm going to UTSL to understand the consistency better.
> > An op state diagram would help, but I didn't find one yet.
> >
> Using the source as an option of last resort is always nice, having to
> actually do so for something like this feels a bit lacking in the
> documentation department (that or my google foo being weak). ^o^
>
> > BTW, do you happen to know, _if_ we re-use an OSD after the journal has
> > failed, are any object inconsistencies going to be found by a
> > scrub/deep-scrub?
> >
> No idea.
> And really a scenario I hope to never encounter. ^^;;
>
> > >>
> > >> We have 4 servers in a 3U rack, then each of those servers is
> > >> connected to one of these enclosures with a single SAS cable.
> > >>
> > >>>> With the current config, when I dd to all drives in parallel I can
> > >>>> write at 24*74MB/s = 1776MB/s.
> > >>>
> > >>> That's surprisingly low. As I wrote up there, a 2008 has 8 PCIe 2.0
> > >>> lanes, so as far as that bus goes, it can do 4GB/s.
> > >>> And given your storage pod I assume it is connected with 2 mini-SAS
> > >>> cables, 4 lanes each at 6Gb/s, making for 4x6x2 = 48Gb/s SATA
> > >>> bandwidth.
> > >>
> > >> From above, we are only using 4 lanes -- so around 2GB/s is expected.
> > >
> > > Alright, that explains that then. Any reason for not using both ports?
> > >
> >
> > Probably to minimize costs, and since the single 10Gig-E is a bottleneck
> > anyway. The whole thing is suboptimal anyway, since this hardware was
> > not purchased for Ceph to begin with. Hence retrofitting SSDs, etc...
> >
> The single 10Gb/s link is the bottleneck for sustained stuff, but when
> looking at spikes...
> Oh well, I guess if you ever connect that 2nd 10GbE card that 2nd port
> might also get some loving. ^o^
>
> The cluster I'm currently building is based on storage nodes with 4 SSDs
> (100GB DC 3700s, so 800MB/s would be the absolute write speed limit) and 8
> HDDs. Connected with 40Gb/s Infiniband. Dual port, dual switch for
> redundancy, not speed. ^^
>
> > >>> Impressive, even given your huge cluster with 1128 OSDs.
> > >>> However that's not really answering my question, how much data is on
> > >>> an average OSD and thus gets backfilled in that hour?
> > >>
> > >> That's true -- our drives have around 300TB on them. So I guess it
> > >> will take longer - 3x longer - when the drives are 1TB full.
> > >
> > > On your slides, when the crazy user filled the cluster with 250 million
> > > objects and thus 1PB of data, I recall seeing a 7 hour backfill time?
> > >
> >
> > Yeah that was fun :) It was 250 million (mostly) 4k objects, so not
> > close to 1PB. The point was that to fill the cluster with RBD, we'd need
> > 250 million (4MB) objects. So, object-count-wise this was a full
> > cluster, but for the real volume it was more like 70TB IIRC (there were
> > some other larger objects too).
> >
> Ah, I see. ^^
>
> > In that case, the backfilling was CPU-bound, or perhaps
> > wbthrottle-bound, I don't remember... It was just that there were many
> > tiny tiny objects to synchronize.
> >
> Indeed. This is something me and others have seen as well, as in
> backfilling being much slower than the underlying HW would permit and
> being CPU intensive.
>
> > > Anyway, I guess the lesson to take away from this is that size and
> > > parallelism does indeed help, but even in a cluster like yours
> > > recovering from a 2TB loss would likely be in the 10 hour range...
> >
> > Bigger clusters probably backfill faster simply because there are more
> > OSDs involved in the backfilling. In our cluster we initially get 30-40
> > backfills in parallel after 1 OSD fails. That's even with max backfills
> > = 1. The backfilling sorta follows an 80/20 rule -- 80% of the time is
> > spent backfilling the last 20% of the PGs, just because some OSDs
> > randomly get more new PGs than the others.
> >
> You still being on dumpling probably doesn't help that uneven distribution
> bit.
> Definitely another data point to go into a realistic recovery/reliability
> model, though.
>
> Christian
>
> > > Again, see the "Best practice K/M-parameters EC pool" thread. ^.^
> >
> > Marked that one to read, again.
> >
> > Cheers, dan
> >
>
>
> --
> Christian Balzer        Network/Systems Engineer
> chibi at gol.com           Global OnLine Japan/Fusion Communications
> http://www.gol.com/
> _______________________________________________
> ceph-users mailing list
> ceph-users at lists.ceph.com
> http://lists.ceph.com/listinfo.cgi/ceph-users-ceph.com
>
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