Re: Ceph performance, empty vs part full

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I've just made the same change ( 4 and 40 for now) on my cluster which is a similar size to yours. I didn't see any merging happening, although most of the directory's I looked at had more files in than the new merge threshold, so I guess this is to be expected

I'm currently splitting my PG's from 1024 to 2048 to see if that helps to bring things back into order.

> -----Original Message-----
> From: ceph-users [mailto:ceph-users-bounces@xxxxxxxxxxxxxx] On Behalf Of
> Wang, Warren
> Sent: 04 September 2015 01:21
> To: Mark Nelson <mnelson@xxxxxxxxxx>; Ben Hines <bhines@xxxxxxxxx>
> Cc: ceph-users <ceph-users@xxxxxxxxxxxxxx>
> Subject: Re:  Ceph performance, empty vs part full
> 
> I'm about to change it on a big cluster too. It totals around 30 million, so I'm a
> bit nervous on changing it. As far as I understood, it would indeed move
> them around, if you can get underneath the threshold, but it may be hard to
> do. Two more settings that I highly recommend changing on a big prod
> cluster. I'm in favor of bumping these two up in the defaults.
> 
> Warren
> 
> -----Original Message-----
> From: ceph-users [mailto:ceph-users-bounces@xxxxxxxxxxxxxx] On Behalf Of
> Mark Nelson
> Sent: Thursday, September 03, 2015 6:04 PM
> To: Ben Hines <bhines@xxxxxxxxx>
> Cc: ceph-users <ceph-users@xxxxxxxxxxxxxx>
> Subject: Re:  Ceph performance, empty vs part full
> 
> Hrm, I think it will follow the merge/split rules if it's out of whack given the
> new settings, but I don't know that I've ever tested it on an existing cluster to
> see that it actually happens.  I guess let it sit for a while and then check the
> OSD PG directories to see if the object counts make sense given the new
> settings? :D
> 
> Mark
> 
> On 09/03/2015 04:31 PM, Ben Hines wrote:
> > Hey Mark,
> >
> > I've just tweaked these filestore settings for my cluster -- after
> > changing this, is there a way to make ceph move existing objects
> > around to new filestore locations, or will this only apply to newly
> > created objects? (i would assume the latter..)
> >
> > thanks,
> >
> > -Ben
> >
> > On Wed, Jul 8, 2015 at 6:39 AM, Mark Nelson <mnelson@xxxxxxxxxx>
> wrote:
> >> Basically for each PG, there's a directory tree where only a certain
> >> number of objects are allowed in a given directory before it splits
> >> into new branches/leaves.  The problem is that this has a fair amount
> >> of overhead and also there's extra associated dentry lookups to get at any
> given object.
> >>
> >> You may want to try something like:
> >>
> >> "filestore merge threshold = 40"
> >> "filestore split multiple = 8"
> >>
> >> This will dramatically increase the number of objects per directory
> allowed.
> >>
> >> Another thing you may want to try is telling the kernel to greatly
> >> favor retaining dentries and inodes in cache:
> >>
> >> echo 1 | sudo tee /proc/sys/vm/vfs_cache_pressure
> >>
> >> Mark
> >>
> >>
> >> On 07/08/2015 08:13 AM, MATHIAS, Bryn (Bryn) wrote:
> >>>
> >>> If I create a new pool it is generally fast for a short amount of time.
> >>> Not as fast as if I had a blank cluster, but close to.
> >>>
> >>> Bryn
> >>>>
> >>>> On 8 Jul 2015, at 13:55, Gregory Farnum <greg@xxxxxxxxxxx> wrote:
> >>>>
> >>>> I think you're probably running into the internal PG/collection
> >>>> splitting here; try searching for those terms and seeing what your
> >>>> OSD folder structures look like. You could test by creating a new
> >>>> pool and seeing if it's faster or slower than the one you've already filled
> up.
> >>>> -Greg
> >>>>
> >>>> On Wed, Jul 8, 2015 at 1:25 PM, MATHIAS, Bryn (Bryn)
> >>>> <bryn.mathias@xxxxxxxxxxxxxxxxxx> wrote:
> >>>>>
> >>>>> Hi All,
> >>>>>
> >>>>>
> >>>>> I’m perf testing a cluster again,
> >>>>> This time I have re-built the cluster and am filling it for testing.
> >>>>>
> >>>>> on a 10 min run I get the following results from 5 load
> >>>>> generators, each writing though 7 iocontexts, with a queue depth of
> 50 async writes.
> >>>>>
> >>>>>
> >>>>> Gen1
> >>>>> Percentile 100 = 0.729775905609
> >>>>> Max latencies = 0.729775905609, Min = 0.0320818424225, mean =
> >>>>> 0.0750389684542
> >>>>> Total objects writen = 113088 in time 604.259738207s gives
> >>>>> 187.151307376/s (748.605229503 MB/s)
> >>>>>
> >>>>> Gen2
> >>>>> Percentile 100 = 0.735981941223
> >>>>> Max latencies = 0.735981941223, Min = 0.0340068340302, mean =
> >>>>> 0.0745198070711
> >>>>> Total objects writen = 113822 in time 604.437897921s gives
> >>>>> 188.310495407/s (753.241981627 MB/s)
> >>>>>
> >>>>> Gen3
> >>>>> Percentile 100 = 0.828994989395
> >>>>> Max latencies = 0.828994989395, Min = 0.0349340438843, mean =
> >>>>> 0.0745455575197
> >>>>> Total objects writen = 113670 in time 604.352181911s gives
> >>>>> 188.085694736/s (752.342778944 MB/s)
> >>>>>
> >>>>> Gen4
> >>>>> Percentile 100 = 1.06834602356
> >>>>> Max latencies = 1.06834602356, Min = 0.0333499908447, mean =
> >>>>> 0.0752239764659
> >>>>> Total objects writen = 112744 in time 604.408732891s gives
> >>>>> 186.536020849/s (746.144083397 MB/s)
> >>>>>
> >>>>> Gen5
> >>>>> Percentile 100 = 0.609658002853
> >>>>> Max latencies = 0.609658002853, Min = 0.032968044281, mean =
> >>>>> 0.0744482759499
> >>>>> Total objects writen = 113918 in time 604.671534061s gives
> >>>>> 188.396498897/s (753.585995589 MB/s)
> >>>>>
> >>>>> example ceph -w output:
> >>>>> 2015-07-07 15:50:16.507084 mon.0 [INF] pgmap v1077: 2880 pgs: 2880
> >>>>> active+clean; 1996 GB data, 2515 GB used, 346 TB / 348 TB avail;
> >>>>> active+2185 MB/s
> >>>>> wr, 572 op/s
> >>>>>
> >>>>>
> >>>>> However when the cluster gets over 20% full I see the following
> >>>>> results, this gets worse as the cluster fills up:
> >>>>>
> >>>>> Gen1
> >>>>> Percentile 100 = 6.71176099777
> >>>>> Max latencies = 6.71176099777, Min = 0.0358741283417, mean =
> >>>>> 0.161760483485
> >>>>> Total objects writen = 52196 in time 604.488474131s gives
> >>>>> 86.347386648/s
> >>>>> (345.389546592 MB/s)
> >>>>>
> >>>>> Gen2
> >>>>> Max latencies = 4.09169006348, Min = 0.0357890129089, mean =
> >>>>> 0.163243938477
> >>>>> Total objects writen = 51702 in time 604.036739111s gives
> >>>>> 85.5941313704/s (342.376525482 MB/s)
> >>>>>
> >>>>> Gen3
> >>>>> Percentile 100 = 7.32526683807
> >>>>> Max latencies = 7.32526683807, Min = 0.0366668701172, mean =
> >>>>> 0.163992217926
> >>>>> Total objects writen = 51476 in time 604.684302092s gives
> >>>>> 85.1287189397/s (340.514875759 MB/s)
> >>>>>
> >>>>> Gen4
> >>>>> Percentile 100 = 7.56094503403
> >>>>> Max latencies = 7.56094503403, Min = 0.0355761051178, mean =
> >>>>> 0.162109421231
> >>>>> Total objects writen = 52092 in time 604.769910812s gives
> >>>>> 86.1352376642/s (344.540950657 MB/s)
> >>>>>
> >>>>>
> >>>>> Gen5
> >>>>> Percentile 100 = 6.99595499039
> >>>>> Max latencies = 6.99595499039, Min = 0.0364680290222, mean =
> >>>>> 0.163651215426
> >>>>> Total objects writen = 51566 in time 604.061977148s gives
> >>>>> 85.3654127404/s (341.461650961 MB/s)
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>> Cluster details:
> >>>>> 5*HPDL380’s with 13*6Tb OSD’s
> >>>>> 128Gb Ram
> >>>>> 2*intel 2620v3
> >>>>> 10 Gbit Ceph public network
> >>>>> 10 Gbit Ceph private network
> >>>>>
> >>>>> Load generators connected via a 20Gbit bond to the ceph public
> network.
> >>>>>
> >>>>>
> >>>>> Is this likely to be something happening to the journals?
> >>>>>
> >>>>> Or is there something else going on.
> >>>>>
> >>>>> I have run FIO and iperf tests and the disk and network
> >>>>> performance is very high.
> >>>>>
> >>>>>
> >>>>> Kind Regards,
> >>>>> Bryn Mathias
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>> _______________________________________________
> >>>>> ceph-users mailing list
> >>>>> ceph-users@xxxxxxxxxxxxxx
> >>>>> http://lists.ceph.com/listinfo.cgi/ceph-users-ceph.com
> >>>
> >>>
> >>> _______________________________________________
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> >>>
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