From: | Shiva Raman <raman(dot)shivag(at)gmail(dot)com> |
---|---|
To: | Fernando Hevia <fhevia(at)ip-tel(dot)com(dot)ar> |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: High CPU load on Postgres Server during Peak times!!!! |
Date: | 2009-09-23 18:28:39 |
Message-ID: | 25bf489c0909231128h3606ba5cp486d2febc9096b92@mail.gmail.com |
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Thread: | |
Lists: | pgsql-performance |
Hi
Thanks for your mail.
*Some quick advice:*
*
*
*>*
*> clusternode2:~ # rpm -qa | grep postgres*
*> postgresql-devel-8.1.9-1.2*
*> postgresql-8.1.9-1.2*
*> postgresql-docs-8.1.9-1.2*
*> postgresql-server-8.1.9-1.2*
*> postgresql-libs-64bit-8.1.9-1.2*
*> postgresql-libs-8.1.9-1.2*
*> postgresql-jdbc-8.1-12.2*
*> postgresql-contrib-8.1.9-1.2*
*>*
*>*
8.1 is quite old. Consider upgrading as newer versions are faster.
Current Postgres version is 8.4.
>
*> High Availability Cluster with two IBM P Series Server and*
*> one DS4700 Storage*
*>*
*> IBM P series P52A with 2-core 2.1 Ghz POWER5+ Processor Card*
*> , 36 MB L3 Cache ,16 GB of RAM,*
*> 73.4 GB 10,000 RPM Ultra320 SCSI Drive for Operating System .*
*>*
*
*
*Sounds you are underpowered on cpu for 500 concurrent users.*
*Of course this really depends on what they are doing.*
*
*
*>*
*> IBM SAN DS4700 Storage with Fibre Channel HDD (73.4 GB * 10)*
*> Two Partitions - 73.4 GB * 3 RAID 5 - 134 GB storage*
*> partitions (One holding Jakarata tomcat*
*> application server and other holding Postgresql Database) .*
*> Four Hard disk RAID 5 with ext3 file systems hold the pgdata on SAN .*
*> Hard disk rotational speed is 73 GB 15K IBM 2 GB Fibre channel*
*>*
*
*
*A more suitable partitioning for an OLTP database would be:*
*
*
*2 x 73.4 GB RAID 1 for App Server + Postgresql and pg_xlog*
*8 x 73.4 GB RAID 10 for pgdata*
*
*
*RAID 5 is strongly discouraged.*
*- Show quoted text -*
*
*
*>*
*> Following is the output of TOP command during offpeak time.*
*>*
*>*
*> top - 18:36:56 up 77 days, 20:33, 1 user, load average:*
*> 12.99, 9.22, 10.37*
*> Tasks: 142 total, 12 running, 130 sleeping, 0 stopped, 0 zombie*
*> Cpu(s): 46.1%us, 1.9%sy, 0.0%ni, 6.1%id, 3.0%wa, 0.0%hi,*
*> 0.1%si, 42.9%st*
*> Mem: 16133676k total, 13657396k used, 2476280k free,*
*> 450908k buffers*
*> Swap: 14466492k total, 124k used, 14466368k free,*
*> 11590056k cached*
*>*
*> PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+*
*> COMMAND*
*> 22458 postgres 19 0 2473m 477m 445m R 40 3.0 0:15.49*
*> postmaster*
*> 22451 postgres 15 0 2442m 447m 437m S 33 2.8 0:30.44*
*> postmaster*
*> 22464 postgres 17 0 2443m 397m 383m R 28 2.5 0:13.78*
*> postmaster*
*> 22484 postgres 16 0 2448m 431m 412m S 20 2.7 0:02.73*
*> postmaster*
*> 22465 postgres 17 0 2440m 461m 449m R 15 2.9 0:03.52*
*> postmaster*
*> 22452 postgres 16 0 2450m 727m 706m R 13 4.6 0:23.46*
*> postmaster*
*> 22476 postgres 16 0 2437m 413m 405m S 13 2.6 0:06.11*
*> postmaster*
*> 22485 postgres 16 0 2439m 230m 222m R 7 1.5 0:05.72*
*> postmaster*
*> 22481 postgres 15 0 2436m 175m 169m S 7 1.1 0:04.44*
*> postmaster*
*> 22435 postgres 17 0 2438m 371m 361m R 6 2.4 1:17.92*
*> postmaster*
*> 22440 postgres 17 0 2445m 497m 483m R 5 3.2 1:44.50*
*> postmaster*
*> 22486 postgres 17 0 2432m 84m 81m R 4 0.5 0:00.76*
*> postmaster*
*>*
*
*
*Are you running several Postgres clusters on this hardware?*
*Please post Top output showing cmd line arguments (press 'c')*
NO Only single Postgres instance
>
> User Access
> Total Number of Users is 500
> Maximum number of Concurrent users will be 500 during peak time
> Off Peak time the maximum number of concurrent user will be
> around 150 to 200.
>
*
*
*A connection pooler like pgpool or pgbouncer would considerably reduce the*
*burden on your system.*
I am already using connection pooling in tomcat web server, so installing
pgpool
will help enhancing the performance ?Any changes i have to do in my
application to
include pgpool?
Regds
Shiva raman
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