From: | Joe Conway <mail(at)joeconway(dot)com> |
---|---|
To: | Bill <bill(at)math(dot)uchicago(dot)edu> |
Cc: | Josh Berkus <josh(at)agliodbs(dot)com>, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: postgresql and openmosix migration |
Date: | 2004-06-23 01:25:16 |
Message-ID: | 40D8DBFC.2090208@joeconway.com |
Views: | Raw Message | Whole Thread | Download mbox | Resend email |
Thread: | |
Lists: | pgsql-performance |
Bill wrote:
> Ok, so maybe someone on this group will have a better idea. We have a
> database of financial information, and this has literally millions of
> entries. I have installed indicies, but for the rather computationally
> demanding processes we like to use, like a select query to find the
> commodity with the highest monthly or annual returns, the computer generally
> runs unacceptably slow. So, other than clustring, how could I achieve a
> speed increase in these complex queries? Is this better in mysql or
> postgresql?
If the bottleneck is really computational, not I/O, you might try PL/R
in conjunction with the rpvm R package. rpvm allows R to make use of pvm
to split its load among a cluster. See:
PL/R:
http://www.joeconway.com/plr/
rpvm:
http://cran.r-project.org/src/contrib/Descriptions/rpvm.html
http://cran.r-project.org/doc/packages/rpvm.pdf
I haven't had a chance to play with this myself yet, but I hope to
relatively soon.
HTH,
Joe
From | Date | Subject | |
---|---|---|---|
Next Message | Andrew Hammond | 2004-06-23 14:47:21 | Re: postgresql and openmosix migration |
Previous Message | Tom Lane | 2004-06-22 20:25:19 | Re: after using pg_resetxlog, db lost |