Bill,
Never assume . . .
Depending on where you got the PostgreSQL, was it in binary form or
source. Most binarys are NOT optimized for higher end, more current
processors, rather they are optimized for the most common family of CPU's.
But if your database application is really CPU bound, I would look at the
data model and how your application is accessing and using the
data. RDBMS's can be very effiicent, or terribly inefficient. In the
worst case you can cause an RDBMS to serially go through every record
searching for data or doing a calculation.
While a bigger cache may help, as may dual core CPU's, or faster CPU's. In
the end, you may only see marginal improvement if the application or
database is really where you need to tune things.
-Derek
At 08:25 AM 4/25/2006, Bill Moran wrote:
On Tue, 25 Apr 2006 07:56:03 -0500
Derek Ragona <[EMAIL PROTECTED]> wrote:
> Yes, dual core is on average 20% faster than hyperthreaded CPU's. But
that
> is general benchmark. The range of performance difference is 10% - 30%
> depending on the application mix.
Thanks.
> If you use well optimized applications, you see the larger performance
> gain. Poor optimization causes a CPU to chug along, flushing the CPU
cache
> often, and slowing things down considerably.
I know. That's why I'm so desperately trying to find a way to determine
how often the cache is being invalidated - so I can determine whether
larger cache sizes (such as 8M) are worthwhile.
The database server is PostgreSQL. If we find optimization problems
with it, we'll definitely work with the PostgreSQL folks to get those
problems addressed, but I'm not expecting a lot of poorly-written code
in something as mature as PostgreSQL. So, making a (reasonable)
assumption that PostgreSQL is well-optimized, I need a way to tell if
adding another 6M of cache will improve performance, _before_ we pay
for it.
That's my question.
--
Bill Moran
Collaborative Fusion Inc.
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