What kind of performance boost do you get from using raid 10? I am trying to do a little cost analysis. Benjamin Arai barai@xxxxxxxxxx benjamin@xxxxxxxxxx http://www.benjaminarai.com > -----Original Message----- > From: pgsql-general-owner@xxxxxxxxxxxxxx > [mailto:pgsql-general-owner@xxxxxxxxxxxxxx] On Behalf Of > Franz.Rasper@xxxxxx > Sent: Monday, December 12, 2005 11:50 PM > To: vivek@xxxxxxxxx > Cc: pgsql-general@xxxxxxxxxxxxxx > Subject: Re: [GENERAL] Performance large tables. > > Hello, > > may I ask you some questions. > > What is the performance difference between U320 15kRPM and > U320 10kRPM ? > Does your RAID crontoller has some memory (e.g. 128 MB or 256 > MB ) and something like memory backup write cache (like HP DL > 380 server) ? > Do you use Intel or Opteron cpus ? > > regards, > > -Franz > > -----Ursprüngliche Nachricht----- > Von: Vivek Khera [mailto:vivek@xxxxxxxxx] > Gesendet: Montag, 12. Dezember 2005 23:15 > An: PG-General General > Betreff: Re: [GENERAL] Performance large tables. > > > > On Dec 10, 2005, at 6:37 PM, Benjamin Arai wrote: > > > For the most part the updates are simple one liners. I currently > > commit in large batch to increase performance but it still takes a > > while as stated above. From evaluating the computers performance > > during an update, the system is thrashing both memory and > disk. I > > am currently using Postgresql 8.0.3. > > Then buy faster disks. My current favorite is to use U320 15kRPM > disks using a dual-chanel RAID controller with 1/2 the disks on one > channel and 1/2 on the other and mirroring them across > channels, then > striping down the mirrors (ie, RAID10). > > I use no fewer than 6 disks (RAID 10) for data and 2 for pg_log in a > RAID1. > > > ---------------------------(end of > broadcast)--------------------------- > TIP 3: Have you checked our extensive FAQ? > > http://www.postgresql.org/docs/faq > > ---------------------------(end of > broadcast)--------------------------- > TIP 4: Have you searched our list archives? > > http://archives.postgresql.org >
