Re: Hardware upgraded but performance still ain't good enough

From: "Alex Turner" <armtuk(at)gmail(dot)com>
To: "Alvaro Nunes Melo" <al_nunes(at)atua(dot)com(dot)br>
Cc: pgsql-performance(at)postgresql(dot)org
Subject: Re: Hardware upgraded but performance still ain't good enough
Date: 2006-08-08 06:33:39
Message-ID: 33c6269f0608072333o67ab6adei29095091718901dc@mail.gmail.com
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First off - very few third party tools support debian. Debian is a sure
fire way to have an unsupported system. Use RedHat or SuSe (flame me all
you want, it doesn't make it less true).

Second, run bonnie++ benchmark against your disk array(s) to see what
performance you are getting, and make sure it's reasonable.

Single drives for stuff is not a great way to go for either speed or
reliability, highly not recommended for a production system. Use SAS or
SATA for the best speed for your $$s, don't buy SAN, they are overpriced and
often don't perform. RAM could be more to be honest too.

Diagnosing the bottleneck can be done with combinations of top, iostat and
vmstat. If you have high iowait numbers then your system is waiting on the
disks. If you have high system CPU usage, then disks are also worth a look,
but not as bad as high iowait. If you have high user CPU with little iowait
and little system CPU, and very little io activity in iostat, then you are
CPU bound. If you are IO bound, you need to figure if it's reads or
writes. If it's reads, then more RAM will help. if it's writes, then you
need more spindles and more controller cache with RAID (please think
carefully before using RAID 5 in a write intensive environment, it's not
ideal).

The other thing is you will probably want to turn on stats in postgres to
figure out which queries are the bad ones (does anyone have good docs posted
for this?). Once you have identified the bad queries, you can explain
analyze them, and figure out why they suck.

Alex.

On 8/7/06, Alvaro Nunes Melo <al_nunes(at)atua(dot)com(dot)br> wrote:
>
> Hi,
>
> First of all I must tell that my reality in a southern brazilian city is
> way different than what we read in the list. I was lookig for ways to
> find the HW bottleneck and saw a configuration like:
>
> "we recently upgraded our dual Xeon Dell to a brand new Sun v40z with 4
> opterons, 16GB of memory and MegaRAID with enough disks. OS is Debian
> Sarge amd64, PostgreSQL is 8.0.3." on
> (http://archives.postgresql.org/pgsql-performance/2005-07/msg00431.php)
>
> Our old server was a very modest Dell Xeon 2.8 (512 Kb Cache), with 1 GB
> RAM and one SCSI disc. This server runs PostgreSQL (8.1.4), Apache (PHP)
> and other minor services. We managed to get a test machine, a HP Xeon
> 3.2 (2 MB cache), also with 1 GB RAM but 4 SCSI discs (in one sigle
> array controller). They're organized in the following way:
>
> disk 0: Linux Root
> disk 1: Database Cluster
> disk 2: pg_xlog
> disk 3: a dir the suffers constant read/write operations
>
> The database size stands around 10 GB. The new server has a better
> performance than the old one, but sometimes it still stucks. We tried to
> use a HP proprietary tool to monitor the server, and find out what is
> the bottleneck, but it's been difficult to install it on Debian. The
> tool is only certified for SuSe and RedHat. So we tried to use some
> Linux tools to see what's going on, like vmstat and iostat. Are this
> tools (vm and iostat) enough? Should we use something else? Is there any
> specifical material about finding bottlenecks in Linux/PostgreSQL
> machines? Is our disks design proper?
>
> I really apologize for my lack of knowledge in this area, and for the
> excessive number of questions in a single e-mail.
>
> Best regards,
> Alvaro
>
> ---------------------------(end of broadcast)---------------------------
> TIP 9: In versions below 8.0, the planner will ignore your desire to
> choose an index scan if your joining column's datatypes do not
> match
>

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