Re: [PERFORM] disk I/O problems and Solutions

2009-10-09 Thread Flavio Henrique Araque Gurgel
- "Alan McKay" escreveu: > CentOS / PostgreSQL shop over here. > > Our system > IBM 3650 - quad 2Ghz e5405 Xeon > 8K SAS RAID Controller > 6 x 300G 15K/RPM SAS Drives > /dev/sda - 2 drives configured as a RAID 1 for 300G for the OS > /dev/sdb - 3 drives configured as RAID5 for 600G for the DB

Re: [PERFORM] Scalability in postgres

2009-05-28 Thread Flavio Henrique Araque Gurgel
I would ask for your kernel version. uname -a please? > sure, and thanks for you answer Flavio... > > uname -a > Linux SERVIDOR-A 2.6.18-92.el5 #1 SMP Tue Apr 29 13:16:15 EDT 2008 x86_64 > x86_64 x86_64 GNU/Linux > > cat /etc/redhat-release > Red Hat Enterprise Linux Server release 5

Re: [PERFORM] Scalability in postgres

2009-05-28 Thread Flavio Henrique Araque Gurgel
- "Scott Marlowe" escreveu: > On Thu, May 28, 2009 at 12:50 PM, Fabrix wrote: > > > > HI. > > > > Someone had some experience of bad performance with postgres in some server > > with many processors? I had. > > but I have experienced problems with another server that has 8 CPUS quad

Re: [PERFORM] Continuent (was: Postgres Clustering)

2009-05-28 Thread Flavio Henrique Araque Gurgel
- "Alan McKay" escreveu: > Hmmm. Anyone out there have the Continuent solution working with PostgreSQL? > If so, what release? We're at 8.3 right now. I have tested Sequoia 2.10.10 with a high transaction rate database with good servers and plenty of memory. Since that's a OLTP system the

Re: [PERFORM] work_mem in high transaction rate database

2009-03-04 Thread Flavio Henrique Araque Gurgel
- "Scott Marlowe" escreveu: > Oh my lord, that is a foot gun waiting to go off. Assuming 2k > connections, and somehow a fair number of them went active with big > sorts, you'd be able to exhaust all physical memory with about 8 to > 16 connections. Lower work_mem now. To something like 1

[PERFORM] work_mem in high transaction rate database

2009-03-03 Thread Flavio Henrique Araque Gurgel
Hello all In a dedicated server with 16 cores and 16GB of RAM running PostgreSQL 8.2.5 we have a database with basically two kinds of transactions: - short transactions with a couple of updates and inserts that runs all the day; - batch data loads with hundreds of inserts that runs several t