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>Chapter 49. GiST Indexes</H1
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><B
>Table of Contents</B
></DT
><DT
>49.1. <A
HREF="gist.html#GIST-INTRO"
>Introduction</A
></DT
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>49.2. <A
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>Extensibility</A
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>49.3. <A
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>Implementation</A
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>Examples</A
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><P
> <A
NAME="AEN62790"
></A
>
<A
NAME="AEN62793"
></A
>
<ACRONYM
CLASS="ACRONYM"
>GiST</ACRONYM
> stands for Generalized Search Tree. It is a
balanced, tree-structured access method, that acts as a base template in
which to implement arbitrary indexing schemes. B+-trees, R-trees and many
other indexing schemes can be implemented in <ACRONYM
CLASS="ACRONYM"
>GiST</ACRONYM
>.
</P
><P
> One advantage of <ACRONYM
CLASS="ACRONYM"
>GiST</ACRONYM
> is that it allows the development
of custom data types with the appropriate access methods, by
an expert in the domain of the data type, rather than a database expert.
</P
><P
> Some of the information here is derived from the University of California at
Berkeley's GiST Indexing Project
<A
HREF="http://gist.cs.berkeley.edu/"
TARGET="_top"
>web site</A
> and
<A
HREF="http://www.sai.msu.su/~megera/postgres/gist/papers/concurrency/access-methods-for-next-generation.pdf.gz"
TARGET="_top"
> Marcel Kornacker's thesis, Access Methods for Next-Generation Database Systems</A
>.
The <ACRONYM
CLASS="ACRONYM"
>GiST</ACRONYM
>
implementation in <SPAN
CLASS="PRODUCTNAME"
>PostgreSQL</SPAN
> is primarily
maintained by Teodor Sigaev and Oleg Bartunov, and there is more
information on their
<A
HREF="http://www.sai.msu.su/~megera/postgres/gist/"
TARGET="_top"
>website</A
>.
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