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From: Neil Conway <neilc@samurai.com>
To: pryscila.lista@gmail.com
Cc: pgsql-performance@postgresql.org
Subject: Re: About method of PostgreSQL's Optimizer
Date: Tue, 13 Sep 2005 19:16:26 -0400
Message-ID: <43275DCA.7040006@samurai.com> (raw)
In-Reply-To: <cf0868bd05091315503024742@mail.gmail.com>
References: <cf0868bd05091315503024742@mail.gmail.com>

Pryscila B Guttoski wrote:
> On my master course, I'm studying the PostgreSQL's optimizer.
> I don't know if anyone in this list have been participated from the 
> PostgreSQL's Optimizer development, but maybe someone can help me on this 
> question.

pgsql-hackers might be more appropriate.

> PostgreSQL generates all possible plans of executing the query (using an 
> almost exhaustive search), then gives a cost to each plan and finally the 
> cheapest one is selected for execution.
> There are other methods for query optimization, one of them is based on plan 
> transformations (for example, using A-Star algorithm) instead of plan 
> constructions used by PostgreSQL. 

Right, the main query planner uses a nearly-exhaustive search. For 
queries with many joins (when the cost of an exhaustive search would be 
prohibitive), "GEQO" is used, which uses a genetic algorithm to avoid an 
exhaustive search of the solution space.

> Does anyone know why this method was choosen?

As far as I know, the main planner algorithm is fairly standard and is 
mainly different from System R's canonical algorithm in the details, 
like whether non-left-deep plans are pruned.

> Are there any papers or researches about it?

There are many papers on the System R algorithm and similar techniques, 
which should explain the basic motivations for the design. I'm not aware 
of any papers specifically on the PostgreSQL query optimizer, although 
there have been a few presentations on it:

http://neilc.treehou.se/optimizer.pdf
http://conferences.oreillynet.com/presentations/os2003/lane_tom.pdf

-Neil



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