Thanks Christian .
Still
"So yes, your numbers are normal for single client, low depth reads, as many
threads in this ML confirm."
we're facing very high latency ( i expect much less latency from ssd
cluster ) :
clat percentiles (usec):
| 1.00th=[ 350], 5.00th=[ 390], 10.00th=[ 414], 20.00th=[ 454],
| 30.00th=[ 494], 40.00th=[ 540], 50.00th=[ 612], 60.00th=[ 732],
| 70.00th=[ 1064], 80.00th=[10304], 90.00th=[37632], 95.00th=[38656],
| 99.00th=[40192], 99.50th=[41216], 99.90th=[43264], 99.95th=[43776],
Thanks
*Yair Magnezi *
*Storage & Data Protection TL // KenshooOffice +972 7 32862423 //
Mobile +972 50 575-2955__________________________________________*
On Tue, Mar 15, 2016 at 2:28 AM, Christian Balzer <ch...@gol.com> wrote:
>
> Hello,
>
> On Mon, 14 Mar 2016 15:51:11 +0200 Yair Magnezi wrote:
>
> > On Fri, Mar 11, 2016 at 2:01 AM, Christian Balzer <ch...@gol.com> wrote:
> >
> > >
> > > Hello,
> > >
> > > As alway there are many similar threads in here, googling and reading
> > > up stuff are good for you.
> > >
> > > On Thu, 10 Mar 2016 16:55:03 +0200 Yair Magnezi wrote:
> > >
> > > > Hello Cephers .
> > > >
> > > > I wonder if anyone has some experience with full ssd cluster .
> > > > We're testing ceph ( "firefly" ) with 4 nodes ( supermicro
> > > > SYS-F628R3-R72BPT ) * 1TB SSD , total of 12 osds .
> > > > Our network is 10 gig .
> > > Much more, relevant details, from SW versions (kernel, OS, Ceph) and
> > > configuration (replica size of your pool) to precise HW info.
> > >
> >
> > H/W --> 4 nodes supermicro ( SYS-F628R3-R72BPT ) , every node has
> > 64 GB mem ,
> > MegaRAID SAS 2208 : RAID0 , 4 * 1 TB ssd ( SAMSUNG
> > MZ7KM960HAHP-00005 )
> >
>
> SM863, they should be fine.
> However I've never seen any results of them with sync writes, if you have
> the time, something to test.
>
> > Cluster --. 4 nodes , 12 OSD's , replica size = 2 , ubuntu 14.04.1
> > LTS ,
> >
> Otherwise similar to my cache pool against which I tested below,
> 2 nodes with 4x 800GB Intel DC S3610 each, replica of 2, thus 8 OSDs.
> 2 E5-2623 (3GHz base speed) per node.
> Network is QDR Infiniband, IPoIB.
>
> Debian Jessie and Ceph Hammer, though.
>
> > >
> > > In particular your SSDs, exact maker/version/size.
> > > Where are your journals?
> > >
> > > SAMSUNG MZ7KM960HAHP-00005 , 893.752 GB
> > Journals on the same drive data ( all SSD as mentioned )
> >
> Again, should be fine but test these with sync writes.
> And of course monitor their wearout over time.
>
> >
> > > Also Firefly is EOL, Hammer and even more so the upcoming Jewel have
> > > significant improvements with SSDs.
> > >
> > > > We used the ceph_deploy for installation with all defaults
> > > > ( followed ceph documentation for integration with open-stack )
> > > > As much as we understand there is no need to enable the rbd cache as
> > > > we're running on full ssd.
> > > RBD cache as in the client side librbd cache is always very helpful,
> > > fast backing storage or not.
> > > It can significantly reduce the number of small writes, something Ceph
> > > has to do a lot of heavy lifting for.
> > >
> > > > bench marking the cluster shows very poor performance write but
> > > > mostly read ( clients are open-stack but also vmware instances ) .
> > >
> > > Benchmarking how (exact command line for fio for example) and with what
> > > results?
> > > You say poor, but that might be "normal" for your situation, we can't
> > > really tell w/o hard data.
> > >
> >
> >
> >
> > fio --name=randread --ioengine=libaio --iodepth=1 --rw=randread
> > --bs=4k --direct=1 --size=256M --numjobs=10 --runtime=120
> > --group_reporting --directory=/ceph_test2
> >
>
> Just to make sure, this is run inside your VM?
>
> > root@open-compute1:~# fio --name=randread --ioengine=libaio
> > --iodepth=1 --rw=randread --bs=4k --direct=1 --size=256M --numjobs=10
> > --runtime=120 --group_reporting --directory=/ceph_test2
> > randread: (g=0): rw=randread, bs=4K-4K/4K-4K/4K-4K, ioengine=libaio,
> > iodepth=1
> > ...
> > randread: (g=0): rw=randread, bs=4K-4K/4K-4K/4K-4K, ioengine=libaio,
> > iodepth=1
> > fio-2.1.3
> > Starting 10 processes
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > randread: Laying out IO file(s) (1 file(s) / 256MB)
> > Jobs: 10 (f=10): [rrrrrrrrrr] [100.0% done] [4616KB/0KB/0KB /s] [1154/0/0
> > iops] [eta 00m:00s]
> > randread: (groupid=0, jobs=10): err= 0: pid=25393: Mon Mar 14 09:17:24
> > 2016 read : io=597360KB, bw=4976.5KB/s, iops=1244, runt=120038msec
> > slat (usec): min=4, max=497, avg=22.91, stdev=14.70
> > clat (usec): min=154, max=57106, avg=8007.97, stdev=14477.89
> > lat (usec): min=276, max=57125, avg=8031.36, stdev=14477.36
> > clat percentiles (usec):
> > | 1.00th=[ 350], 5.00th=[ 390], 10.00th=[ 414],
> > 20.00th=[ 454], | 30.00th=[ 494], 40.00th=[ 540], 50.00th=[ 612],
> > 60.00th=[ 732], | 70.00th=[ 1064], 80.00th=[10304], 90.00th=[37632],
> > 95.00th=[38656], | 99.00th=[40192], 99.50th=[41216], 99.90th=[43264],
> > 99.95th=[43776], | 99.99th=[44800]
> > bw (KB /s): min= 314, max= 967, per=10.01%, avg=498.08,
> > stdev=83.91 lat (usec) : 250=0.01%, 500=31.64%, 750=29.32%, 1000=8.21%
> > lat (msec) : 2=5.22%, 4=3.35%, 10=2.22%, 20=0.46%, 50=19.56%
> > lat (msec) : 100=0.01%
> > cpu : usr=0.14%, sys=0.41%, ctx=153613, majf=0, minf=78
> > IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
> > >=64=0.0%
> > submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
> > >=64=0.0%
> > complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
> > >=64=0.0%
> > issued : total=r=149340/w=0/d=0, short=r=0/w=0/d=0
> >
> > Run status group 0 (all jobs):
> > READ: io=597360KB, aggrb=4976KB/s, minb=4976KB/s, maxb=4976KB/s,
> > mint=120038msec, maxt=120038msec
> >
> > Disk stats (read/write):
> > rbd0: ios=149207/3, merge=0/3, ticks=1194356/0, in_queue=1194452,
> > util=100.00%
> >
>
> Here is the result of a functionally identical fio run inside one of my
> VMs (entirely against the cache pool/nodes):
> ---
> root@tvm-03:~# fio --size=128MB --ioengine=libaio --invalidate=1
> --direct=1 --numjobs=1 --rw=randread --name=fiojob --blocksize=4k
> --iodepth=1
> fiojob: (g=0): rw=randread, bs=4K-4K/4K-4K, ioengine=libaio, iodepth=1
> 2.0.8
> Starting 1 process
> fiojob: (groupid=0, jobs=1): err= 0: pid=18099
> read : io=131072KB, bw=4128.1KB/s, iops=1032 , runt= 31745msec
> slat (usec): min=19 , max=393 , avg=35.58, stdev=11.76
> clat (usec): min=117 , max=7786 , avg=924.96, stdev=422.77
> lat (usec): min=146 , max=7835 , avg=961.91, stdev=423.99
> clat percentiles (usec):
> | 1.00th=[ 149], 5.00th=[ 175], 10.00th=[ 197], 20.00th=[ 772],
> | 30.00th=[ 884], 40.00th=[ 956], 50.00th=[ 1012], 60.00th=[ 1064],
> | 70.00th=[ 1128], 80.00th=[ 1192], 90.00th=[ 1288], 95.00th=[ 1400],
> | 99.00th=[ 1800], 99.50th=[ 2224], 99.90th=[ 3600], 99.95th=[ 3952],
> | 99.99th=[ 6880]
> bw (KB/s) : min= 3440, max= 8120, per=100.00%, avg=4135.22,
> stdev=572.73
> lat (usec) : 250=17.95%, 500=0.79%, 750=0.60%, 1000=28.67%
> lat (msec) : 2=51.34%, 4=0.60%, 10=0.05%
> cpu : usr=1.30%, sys=5.61%, ctx=32985, majf=0, minf=23
> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
> >=64=0.0%
> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
> >=64=0.0%
> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
> >=64=0.0%
> issued : total=r=32768/w=0/d=0, short=r=0/w=0/d=0
>
> Run status group 0 (all jobs):
> READ: io=131072KB, aggrb=4128KB/s, minb=4128KB/s, maxb=4128KB/s,
> mint=31745msec, maxt=31745msec
>
> Disk stats (read/write):
> vda: ios=32718/0, merge=0/0, ticks=29312/0, in_queue=29228, util=92.06%
> ---
>
> So same ballpark, note the much lower clat/lat times.
> Note that I use "block/vda/queue/read_ahead_kb = 2048" in sysfs.conf
> instead of Ceph client configurations.
> But then again that's basically identical, supposedly only helping with
> sequential reads and not much of a help with SSDs (and fast CPUs).
>
> So yes, your numbers are normal for single client, low depth reads, as many
> threads in this ML confirm.
>
> Cranking up iodepth to 32 gives me up to 7200 IOPS per client (VM), with
> the storage nodes still very much bored.
>
> Christian
> >
> > conf file ( client side ) -->
> >
> > [global]
> > fsid = 609317d9-c8ee-462f-a82f-f5c28c6c561b
> > mon_initial_members = open-ceph1,open-ceph2,open-ceph3
> > mon_host = 10.63.4.101,10.63.4.102,10.63.4.103
> > auth_cluster_required = none
> > auth_service_required = none
> > auth_client_required = none
> > filestore_xattr_use_omap = true
> > public_network = 10.63.4.0/23
> >
> > filestore_flusher = false
> >
> > [client]
> > rbd cache = true
> > cache writethrough until flush = true
> > rbd_readahead_trigger_requests = 50
> > rbd_readahead_max_bytes = 4096
> > rbd_readahead_disable_after_bytes = 0
> > admin socket = /var/run/ceph/$cluster-$type.$id.$pid.$cctid.asok
> > log file = /var/log/ceph/
> > rbd concurrent management ops = 20
> >
> >
> >
> > > "Poor" write performance would indicative of SSDs that are unsuitable
> > > for Ceph.
> > >
> > > > any input is much appreciated ( especially want to know which
> > > > parameter is crucial for read performance in full ssd cluster )
> > > >
> > >
> > > read_ahead in your clients can improve things, but I guess your cluster
> > > has more fundamental problems than this.
> > >
> http://lists.ceph.com/pipermail/ceph-users-ceph.com/2014-April/028552.html
> > >
> > >
> > > Thanks
> >
> >
> >
> > > Christian
> > > --
> > > Christian Balzer Network/Systems Engineer
> > > ch...@gol.com Global OnLine Japan/Rakuten Communications
> > > http://www.gol.com/
> > >
> >
>
>
> --
> Christian Balzer Network/Systems Engineer
> ch...@gol.com Global OnLine Japan/Rakuten Communications
> http://www.gol.com/
>
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