From: Filippos <filippos.kal@gmail.com>
To: pgsql-performance@postgresql.org
Subject: heavy load-high cpu itilization
Date: Mon, 25 Jul 2011 11:00:44 -0700 (PDT)
Message-ID: <1311616844194-4631760.post@n5.nabble.com> (raw)
Dear all
first of all congratulations on your greak work here since from time to time
i 've found many answers to my problems. unfortunately for this specific
problem i didnt find much relevant information, so i would ask for your
guidance dealing with the following situation:
we have a dedicated server (8.4.4, redhat) with 24 cpus and 36 GB or RAM. i
would say that the traffic in the server is huge and the cpu utilization is
pretty high too (avg ~ 75% except during the nights when is it much lower).
i am trying to tune the server a little bit to handle this problem. the
incoming data in the database are about 30-40 GB /day.
at first the checkpoint_segments were set to 50, the checkpoint_timeout at
15 min and the checkpoint_completion_target was 0.5 sec.
i noticed that the utilization of the server was higher when it was close to
making a checkpoint and since the parameter of full_page_writes is ON , i
changed the parameters mentioned above to (i did that after reading a lot of
stuff online):
checkpoint_segments->250
checkpoint_timeout->40min
checkpoint_completion_target -> 0.8
but the cpu utilization is not significantly lower. another parameter i will
certainly change is the wal_buffers which is now set at 64KB and i plan to
make it 16MB. can this parameter cause a significant percentage of the
problem?
are there any suggestions what i can do to tune better the server? i can
provide any information you find relevant for the configuration of the
server, the OS, the storage etc
thank you in advance
--
View this message in context: http://postgresql.1045698.n5.nabble.com/heavy-load-high-cpu-itilization-tp4631760p4631760.html
Sent from the PostgreSQL - performance mailing list archive at Nabble.com.
Reply instructions:
You may reply publicly to this message via plain-text email
using any one of the following methods:
* Reply to all the recipients using the --to and --cc options:
reply via email
To: pgsql-performance@postgresql.org
Cc: filippos.kal@gmail.com
Subject: Re: heavy load-high cpu itilization
In-Reply-To: <1311616844194-4631760.post@n5.nabble.com>
* Save the following mbox file, import it into your mail client,
and reply-to-all from there: mbox
This inbox is served by DDX for PostgreSQL; see mirroring instructions
for how to clone and mirror all data and code used for this inbox