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8 Jul 11 - Database Trends and Applications - Managing Time Series Data with Informix... Read
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IDS Forum

Re: IDS 11 on a RedHat VM

Posted By: Art Kagel
Date: Friday, 4 July 2014, at 2:29 p.m.

In Response To: IDS 11 on a RedHat VM (Keith Simmons)

Keith, this is EXACTLY the behavior I would expect from a VM, especially an
ESX 4 VM. I did extensive testing for a client several years ago on the
same systems and not only is the IO throughput fixed on a single VM no
matter how many threads are writing to/reading from the disk(s) but on a
HUGE machine running multiple VMs gets you the same total throughput across
all VMs with the average total throughput about the same as the rated
throughput of a single 10K spindle and I was testing against RAID10 arrays
with ten 10K drive pairs.

Reports from the client since those test indicate that after working with
VMWare and EMC^2 for over a year are that if you run the VMs over the
vSphere Hypervisor the IO throughput about doubles but is still nailed to a

My recommendation has always been and continues to be that you run
Informix, and all databases, on an OS that is running on bare metal.


Art S. Kagel, Principal Consultant
ASK Database Management


Disclaimer: Please keep in mind that my own opinions are my own opinions
and do not reflect on the IIUG, nor any other organization with which I am
associated either explicitly, implicitly, or by inference. Neither do
those opinions reflect those of other individuals affiliated with any
entity with which I am affiliated nor those of the entities themselves.

On Fri, Jul 4, 2014 at 12:24 PM, Keith Simmons <> wrote:

> Hi all
> We are currently in the process of migrating an 850 (ish) Gb database from
> AIX 5/IDS9.4 to a vm server (ESX 4) running Red hat
> 2.6.32-431.3.1.el6.x86_64/IDS 11.70.FC7.
> New server has the same numbers of CPUs, identical memory and the same
> amount of disk.
> Shifting the data across from the existing machine to new one is being doen
> by multiple streams of 'UNLOAD TO `pipe` SELECT * FROM' combined with
> 'DBLOAD', plus a single stream of ' SELECT * FROM INSERT INTO' for 300
> smaller tables (there are around 30 large tables in 6 unload streams).
> Source and target machines are in the same subnet and have 1Gb end to end
> network plus the data source is an HDR secondary which is NOT used for any
> other purpose (such as read-only queries).
> Basically the load performance sucks on anything more than a single stream
> and when we have managed a full load, initial testing of the application
> returns abysmal performance.
> The disks on the source are not stressed in any way (around 25%
> utilisation) but the disks on the new server are constantly at 100% but can
> only seem to shift some 10 Mb/s.
> The main structural difference between the machines seems to be how the
> disk is presented and I am trying to find out what is considered 'best
> practise' or how to get some decent performance. The existing server has
> direct attached (2Gb fibre, redundant path) storage presenting as 27 x 36Gb
> disks which are then carved up by AIX LVM into 4 and 8 Gb chunks and
> assigned to dbspaces. On the new server there is 1 Tb of SAN disk presented
> through a parascsi adapter to the server as a single disk (/dev/sde) which
> is then carved up by the RedHat LVM. When loading the data, no matter how
> many streams run or how many chunks are being hit, the overall thoughput
> seems to be topping out at 10 Mb/sec.
> I suppose my queston is, is this the best way of presenting this amount of
> disk or would it be better to get 10 x 100Gb disks, treat them as separate
> spindles and divide the data/indexing between them as I would do on
> tranditionally attached disk. Any thoughts, comments, suggestions
> gratefully received.
> Keith
> ps I only have limited, view accessto the VM environment as it is managed
> for us but I do hve full root access to the RedHat environment, I have no
> visibility on the SAN.
> --089e0115f5183fa01f04fd608efb
> *******************************************************************************
> Forum Note: Use "Reply" to post a response in the discussion forum.


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