Re: Comparative performance - Mailing list pgsql-performance

From Joe
Subject Re: Comparative performance
Date
Msg-id 433C5108.6070202@freedomcircle.net
Whole thread Raw
In response to Re: Comparative performance  (Andreas Pflug <pgadmin@pse-consulting.de>)
Responses Re: Comparative performance  ("Jim C. Nasby" <jnasby@pervasive.com>)
List pgsql-performance
Andreas Pflug wrote:
> Hm, if you only have 4 tables, why do you need 12 queries?
> To reduce queries, join them in the query; no need to merge them
> physically. If you have only two main tables, I'd bet you only need 1-2
> queries for the whole page.

There are more than four tables and the queries are not functionally
overlapping.  As an example, allow me to refer to the page
www.freedomcircle.com/topic.php/Economists.

The top row of navigation buttons (Life, Liberty, etc.) is created from a query
of the 'topic' table.  It could've been hard-coded as a PHP array, but with less
flexibility.  The alphabetical links are from a SELECT DISTINCT substring from
topic.  It could've been generated by a PHP for loop (originally implemented
that way) but again with less flexibility.  The listing of economists is another
SELECT from topic.  The subheadings (Articles, Books) come from a SELECT of an
entry_type table --which currently has 70 rows-- and is read into a PHP array
since we don't know what headings will be used in a given page.  The detail of
the entries comes from that query that I posted earlier, but there are three
additional queries that are used for specialized entry types (relationships
between topics --e.g., Prof. Williams teaches at George Mason, events, and
multi-author or multi-subject articles and books).  And there's yet another
table for the specific book information.  Once the data is retrieved it's sorted
internally with PHP, at the heading level, before display.

Maybe there is some way to merge all the queries (some already fairly complex)
that fetch the data for the entries box but I believe it would be a monstrosity
with over 100 lines of SQL.

Thanks,

Joe


pgsql-performance by date:

Previous
From: Tony Wasson
Date:
Subject: Re: Monitoring Postgresql performance
Next
From: Joe
Date:
Subject: Re: Comparative performance