> -----Original Message-----
> From: Hijax [mailto:hijax_pl@wp.pl]
> Sent: Thursday, December 18, 2003 5:34 AM
> To: pgsql-general@postgresql.org
> Subject: [GENERAL] performance in selecting from very large recordset
>
>
> Hi,
>
> What about posgtesql performace in selecting from million of records?
>
> I have a database with about 23 miilion of touples in single
> table. Data represents a analog signal values from multiples
> sources... These values are gathered in every minute...
>
> How to create a select statement.... or how to create
> indexes... for maximum performance...
>
> Any guidelines?
The normal guideline is that for 'equal' searches or 'in list' searches,
use a hashed index. That is what I do with most database systems.
For comparision searches, you need a btree index. You can add both
kinds, but the more indexes you add the slower the inserts will be.
There were problems with hashed indexes in PostgreSQL before. I think
that they have all been addressed in 7.4, but I am not an expert on
their usage in that environment, so it would be good if others can
supply feedback. I develop database systems under many environments,
and so my advice is not PG specific.
There is a performance alias that would be a better place for your
inquiry than the general list.
