From: | Rory Campbell-Lange <rory(at)campbell-lange(dot)net> |
---|---|
To: | Merlin Moncure <mmoncure(at)gmail(dot)com> |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Comments requested on IO performance : new db server |
Date: | 2012-03-10 10:19:29 |
Message-ID: | 20120310101929.GA9760@campbell-lange.net |
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Lists: | pgsql-performance |
On 09/03/12, Merlin Moncure (mmoncure(at)gmail(dot)com) wrote:
> On Fri, Mar 9, 2012 at 5:15 AM, Rory Campbell-Lange
> <rory(at)campbell-lange(dot)net> wrote:
> > I've taken the liberty of reposting this message as my addendum to a
> > long thread that I started on the subject of adding a new db server to
> > our existing 4-year old workhorse got lost in discussion.
> >
> > Our workload is several small databases totalling less than 40GB of disk
> > space. The proposed system has 48GB RAM, 2 * quad core E5620 @ 2.40GHz
> > and 4 WD Raptors behind an LSI SAS card. Our supplier has just run a set
> > of tests on the machine we intend to buy. The test rig had the following
> > setup:
> >
> > LSI MegaRAID SAS 9260-8i
> > Firmware: 12.12.0-0090
> > Kernel: 2.6.39.4
> > Hard disks: 4x WD6000BLHX
> > Test done on 256GB volume
> > BS = blocksize in bytes
> >
> > The test tool is fio. I'd be grateful to know if the results below are
> > considered acceptable. An ancillary question is whether a 4096 block
> > size is a good idea. I suppose we will be using XFS which I understand
> > has a default block size of 4096 bytes.
> >
> > RAID 10
> > --------------------------------------
...
> > --------------------------------------
> > Random write
> >
> > BS MB/s IOPs
> > 512 0000.53 001103.60
> > 1024 0001.15 001179.20
> > 4096 0004.43 001135.30
> > 16384 0017.61 001127.56
> > 65536 0061.39 000982.39
> > 131072 0079.27 000634.16
> > --------------------------------------
>
> since your RAM is larger than the database size, read performance is
> essentially a non-issue. your major gating factors are going to be
> cpu bound queries and random writes -- 1000 IOPS essentially puts an
> upper bound on your write TPS, especially if your writes are frequent
> and randomly distributed, the case that is more or less simulated by
> pgbench with large scaling factors.
>
> Now, 1000 write tps is quite alot (3.6 mil transactions/hour) and
> your workload will drive the hardware consideration.
Thanks for your comments, Merlin. With regard to the "gating factors" I
believe the following is pertinent:
CPU
My current server has 2 * quad Xeon E5420 @ 2.50GHz. The server
occasionally reaches 20% sutained utilisation according to sar.
This cpu has a "passmark" of 7,730.
http://www.cpubenchmark.net/cpu_lookup.php?cpu=[Dual+CPU]+Intel+Xeon+E5420+%40+2.50GHz
My proposed CPU is an E5620 @ 2.40GHz with CPU "passmark" of 9,620
http://www.cpubenchmark.net/cpu_lookup.php?cpu=[Dual+CPU]+Intel+Xeon+E5620+%40+2.40GHz
Since the workload will be very similar I'm hoping for about 20% better
CPU performance from the new server, which should drop max CPU load by
5% or so.
Random Writes
I'll have to test this. My current server (R10 4*15K SCSI) produced the
following pgbench stats while running its normal workload:
-c -t TPS
5 20000 446
10 10000 542
20 5000 601
30 3333 647
I'd be grateful to know what parameters I should use for a "large
scaling factor" pgbench test.
Many thanks
Rory
--
Rory Campbell-Lange
rory(at)campbell-lange(dot)net
Campbell-Lange Workshop
www.campbell-lange.net
0207 6311 555
3 Tottenham Street London W1T 2AF
Registered in England No. 04551928
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