提交 19dd2fbf 编写于 作者: B Bruce Momjian

Add GIN documentation.

Christopher Kings-Lynne
上级 a65f7db3
<!-- $PostgreSQL: pgsql/doc/src/sgml/filelist.sgml,v 1.44 2005/09/12 22:11:38 neilc Exp $ -->
<!-- $PostgreSQL: pgsql/doc/src/sgml/filelist.sgml,v 1.45 2006/09/04 20:10:53 momjian Exp $ -->
<!entity history SYSTEM "history.sgml">
<!entity info SYSTEM "info.sgml">
......@@ -78,6 +78,7 @@
<!entity catalogs SYSTEM "catalogs.sgml">
<!entity geqo SYSTEM "geqo.sgml">
<!entity gist SYSTEM "gist.sgml">
<!entity gin SYSTEM "gin.sgml">
<!entity planstats SYSTEM "planstats.sgml">
<!entity indexam SYSTEM "indexam.sgml">
<!entity nls SYSTEM "nls.sgml">
......
<!-- $PostgreSQL: pgsql/doc/src/sgml/gin.sgml,v 1.1 2006/09/04 20:10:53 momjian Exp $ -->
<chapter id="GIN">
<title>GIN Indexes</title>
<indexterm>
<primary>index</primary>
<secondary>GIN</secondary>
</indexterm>
<sect1 id="gin-intro">
<title>Introduction</title>
<para>
<acronym>GIN</acronym> stands for Generalized Inverted Index. It is
an index structure storing a set of (key, posting list) pairs, where
'posting list' is a set of documents in which the key occurs.
</para>
<para>
It is generalized in the sense that a <acronym>GIN</acronym> index
does not need to be aware of the operation that it accelerates.
Instead, it uses custom strategies defined for particular data types.
</para>
<para>
One advantage of <acronym>GIN</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.
This is much the same advantage as using <acronym>GiST</acronym>.
</para>
<para>
The <acronym>GIN</acronym>
implementation in <productname>PostgreSQL</productname> is primarily
maintained by Teodor Sigaev and Oleg Bartunov, and there is more
information on their
<ulink url="http://www.sai.msu.su/~megera/oddmuse/index.cgi/Gin">website</ulink>.
</para>
</sect1>
<sect1 id="gin-extensibility">
<title>Extensibility</title>
<para>
The <acronym>GIN</acronym> interface has a high level of abstraction,
requiring the access method implementer to only implement the semantics of
the data type being accessed. The <acronym>GIN</acronym> layer itself
takes care of concurrency, logging and searching the tree structure.
</para>
<para>
All it takes to get a <acronym>GIN</acronym> access method working
is to implement four user-defined methods, which define the behavior of
keys in the tree. In short, <acronym>GIN</acronym> combines extensibility
along with generality, code reuse, and a clean interface.
</para>
</sect1>
<sect1 id="gin-implementation">
<title>Implementation</title>
<para>
There are four methods that an index operator class for
<acronym>GIN</acronym> must provide:
</para>
<variablelist>
<varlistentry>
<term>compare</term>
<listitem>
<para>
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>extract value</term>
<listitem>
<para>
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>extract query</term>
<listitem>
<para>
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>consistent</term>
<listitem>
<para>
</para>
</listitem>
</varlistentry>
</variablelist>
</sect1>
<sect1 id="gin-examples">
<title>Examples</title>
<para>
The <productname>PostgreSQL</productname> source distribution includes
<acronym>GIN</acronym> classes for one-dimensional arrays of all internal
types. The following
<filename>contrib</> modules also contain <acronym>GIN</acronym>
operator classes:
</para>
<variablelist>
<varlistentry>
<term>intarray</term>
<listitem>
<para>Enhanced support for int4[]</para>
</listitem>
</varlistentry>
<varlistentry>
<term>tsearch2</term>
<listitem>
<para>Support for inverted text indexing. This is much faster for very
large, mostly-static sets of documents.
</para>
</listitem>
</varlistentry>
</chapter>
<!-- $PostgreSQL: pgsql/doc/src/sgml/xindex.sgml,v 1.43 2006/03/10 19:10:49 momjian Exp $ -->
<!-- $PostgreSQL: pgsql/doc/src/sgml/xindex.sgml,v 1.44 2006/09/04 20:10:53 momjian Exp $ -->
<sect1 id="xindex">
<title>Interfacing Extensions To Indexes</title>
......@@ -380,6 +380,41 @@
</tgroup>
</table>
<para>
GIN indexes require four support functions,
shown in <xref linkend="xindex-gin-support-table">.
</para>
<table tocentry="1" id="xindex-gin-support-table">
<title>GIN Support Functions</title>
<tgroup cols="2">
<thead>
<row>
<entry>Function</entry>
<entry>Support Number</entry>
</row>
</thead>
<tbody>
<row>
<entry>compare</entry>
<entry>1</entry>
</row>
<row>
<entry>extract value</entry>
<entry>2</entry>
</row>
<row>
<entry>extract query</entry>
<entry>3</entry>
</row>
<row>
<entry>consistent</entry>
<entry>4</entry>
</row>
</tbody>
</tgroup>
</table>
<para>
Unlike strategy operators, support functions return whichever data
type the particular index method expects; for example in the case
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册