Clean up some stray references to tsearch2.

diff --git a/doc/src/sgml/gin.sgml b/doc/src/sgml/gin.sgml
index 842ce0167d007444eec204b52156676197a7d63e..61a3f0f4ec126c36258260ed624ec8c49d03dfca 100644 (file)
--- a/doc/src/sgml/gin.sgml
+++ b/doc/src/sgml/gin.sgml
@@ -1,4 +1,4 @@
-<!-- $PostgreSQL: pgsql/doc/src/sgml/gin.sgml,v 2.11 2007/02/16 03:50:29 momjian Exp $ -->
+<!-- $PostgreSQL: pgsql/doc/src/sgml/gin.sgml,v 2.12 2007/11/13 23:36:26 tgl Exp $ -->
 
 <chapter id="GIN">
 <title>GIN Indexes</title>
@@ -232,13 +232,20 @@
 
  <para>
   The <productname>PostgreSQL</productname> source distribution includes
-  <acronym>GIN</acronym> classes for one-dimensional arrays of all internal
-  types.  The following
+  <acronym>GIN</acronym> operator classes for <type>tsvector</> and
+  for one-dimensional arrays of all internal types.  The following
   <filename>contrib</> modules also contain <acronym>GIN</acronym>
   operator classes:
  </para>
 
  <variablelist>
+  <varlistentry>
+   <term>hstore</term>
+   <listitem>
+    <para>Module for storing (key, value) pairs</para>
+   </listitem>
+  </varlistentry>
+
   <varlistentry>
    <term>intarray</term>
    <listitem>
@@ -247,11 +254,9 @@
   </varlistentry>
 
   <varlistentry>
-   <term>tsearch2</term>
+   <term>pg_trgm</term>
    <listitem>
-    <para>Support for inverted text indexing.  This is much faster for very
-     large, mostly-static sets of documents.
-    </para>
+    <para>Text similarity using trigram matching</para>
    </listitem>
   </varlistentry>
  </variablelist>

diff --git a/doc/src/sgml/gist.sgml b/doc/src/sgml/gist.sgml
index a02da6a9f6508e306a4bbf5f7d0c100c8c5a4335..587517da1d17ce13b54f998accb6d871e2da2d3b 100644 (file)
--- a/doc/src/sgml/gist.sgml
+++ b/doc/src/sgml/gist.sgml
@@ -1,4 +1,4 @@
-<!-- $PostgreSQL: pgsql/doc/src/sgml/gist.sgml,v 1.28 2007/01/31 20:56:17 momjian Exp $ -->
+<!-- $PostgreSQL: pgsql/doc/src/sgml/gist.sgml,v 1.29 2007/11/13 23:36:26 tgl Exp $ -->
 
 <chapter id="GiST">
 <title>GiST Indexes</title>
@@ -181,8 +181,9 @@
  <para>
   The <productname>PostgreSQL</productname> source distribution includes
   several examples of index methods implemented using
-  <acronym>GiST</acronym>.  The core system currently provides R-Tree
-  equivalent functionality for some of the built-in geometric data types
+  <acronym>GiST</acronym>.  The core system currently provides text search
+  support (indexing for <type>tsvector</> and <type>tsquery</>) as well as
+  R-Tree equivalent functionality for some of the built-in geometric data types
   (see <filename>src/backend/access/gist/gistproc.c</>).  The following
   <filename>contrib</> modules also contain <acronym>GiST</acronym>
   operator classes: 
@@ -203,6 +204,13 @@
    </listitem>
   </varlistentry>
 
+  <varlistentry>
+   <term>hstore</term>
+   <listitem>
+    <para>Module for storing (key, value) pairs</para>
+   </listitem>
+  </varlistentry>
+
   <varlistentry>
    <term>intarray</term>
    <listitem>
@@ -230,13 +238,6 @@
     <para>Indexing for <quote>float ranges</quote></para>
    </listitem>
   </varlistentry>
-
-  <varlistentry>
-   <term>tsearch2</term>
-   <listitem>
-    <para>Full text indexing</para>
-   </listitem>
-  </varlistentry>
  </variablelist>
 
 </sect1>

diff --git a/doc/src/sgml/indices.sgml b/doc/src/sgml/indices.sgml
index 2c238d342944e7147da55d8f0508d452d0c0049a..6fcb6968ffc190a69aac2bb975050f1ad291e0e8 100644 (file)
--- a/doc/src/sgml/indices.sgml
+++ b/doc/src/sgml/indices.sgml
@@ -1,4 +1,4 @@
-<!-- $PostgreSQL: pgsql/doc/src/sgml/indices.sgml,v 1.71 2007/04/06 22:33:41 tgl Exp $ -->
+<!-- $PostgreSQL: pgsql/doc/src/sgml/indices.sgml,v 1.72 2007/11/13 23:36:26 tgl Exp $ -->
 
 <chapter id="indexes">
  <title id="indexes-title">Indexes</title>
@@ -235,8 +235,6 @@ CREATE INDEX <replaceable>name</replaceable> ON <replaceable>table</replaceable>
 
    (See <xref linkend="functions-geometry"> for the meaning of
    these operators.)
-   Also, an <literal>IS NULL</> condition on
-   an index column can be used with a GiST index.
    Many other GiST operator
    classes are available in the <literal>contrib</> collection or as separate
    projects.  For more information see <xref linkend="GiST">.
@@ -269,10 +267,9 @@ CREATE INDEX <replaceable>name</replaceable> ON <replaceable>table</replaceable>
 
    (See <xref linkend="functions-array"> for the meaning of
    these operators.)
-   GIN indexes cannot use <literal>IS NULL</> as a search condition.
-   Other GIN operator classes are available in the <literal>contrib</>
-   <literal>tsearch2</literal> and <literal>intarray</literal> modules.
-   For more information see <xref linkend="GIN">.
+   Many other GIN operator
+   classes are available in the <literal>contrib</> collection or as separate
+   projects.  For more information see <xref linkend="GIN">.
   </para>
  </sect1>
 

diff --git a/doc/src/sgml/trgm.sgml b/doc/src/sgml/trgm.sgml
index 6d61404a4a17b3f3ea5c0303dc36552e162a3c87..63f677a6475142d39cc41882bf1420368df1fc43 100644 (file)
--- a/doc/src/sgml/trgm.sgml
+++ b/doc/src/sgml/trgm.sgml
@@ -131,24 +131,24 @@ ORDER BY
  </sect2>
 
  <sect2>
-  <title>Tsearch2 Integration</title>
+  <title>Text Search Integration</title>
   <para>
    Trigram matching is a very useful tool when used in conjunction
-   with a text index created by the Tsearch2 contrib module. (See
-   contrib/tsearch2)
+   with a full text index.
   </para>
   <para>
    The first step is to generate an auxiliary table containing all
-   the unique words in the Tsearch2 index:
+   the unique words in the documents:
   </para>
   <programlisting>
 CREATE TABLE words AS SELECT word FROM 
         stat('SELECT to_tsvector(''simple'', bodytext) FROM documents');
   </programlisting>
   <para>
-   Where 'documents' is a table that has a text field 'bodytext'
-   that TSearch2 is used to search.  The use of the 'simple' dictionary
-   with the to_tsvector function, instead of just using the already
+   where <structname>documents</> is a table that has a text field
+   <structfield>bodytext</> that we wish to search.  The use of the
+   <literal>simple</> configuration with the <function>to_tsvector</>
+   function, instead of just using the already
    existing vector is to avoid creating a list of already stemmed
    words.  This way, only the original, unstemmed words are added
    to the word list.
@@ -174,9 +174,9 @@ CREATE INDEX words_idx ON words USING gin(word gist_trgm_ops);
   <para>
    <note>
     <para>
-     Since the 'words' table has been generated as a separate,
+     Since the <structname>words</> table has been generated as a separate,
      static table, it will need to be periodically regenerated so that
-     it remains up to date with the word list in the Tsearch2 index.
+     it remains up to date with the document collection.
     </para>
    </note>
   </para>
@@ -184,14 +184,14 @@ CREATE INDEX words_idx ON words USING gin(word gist_trgm_ops);
 
  <sect2>
   <title>References</title>
-  <para>
-   Tsearch2 Development Site
-   <ulink url="http://www.sai.msu.su/~megera/postgres/gist/tsearch/V2/"></ulink>
-  </para>
   <para>
    GiST Development Site
    <ulink url="http://www.sai.msu.su/~megera/postgres/gist/"></ulink>
   </para>
+  <para>
+   Tsearch2 Development Site
+   <ulink url="http://www.sai.msu.su/~megera/postgres/gist/tsearch/V2/"></ulink>
+  </para>
  </sect2>
 
  <sect2>

diff --git a/src/backend/access/gin/README b/src/backend/access/gin/README
index aa9ae3db3b930533b485c57e8abce323679b68e0..c914759aa82a9edde48bf756743ade25b80d1a58 100644 (file)
--- a/src/backend/access/gin/README
+++ b/src/backend/access/gin/README
@@ -48,7 +48,7 @@ Features
   * User-defined opclasses.  (The scheme is similar to GiST.)
   * Optimized index creation (Makes use of maintenance_work_mem to accumulate
     postings in memory.)
-  * Tsearch2 support via an opclass
+  * Text search support via an opclass
   * Soft upper limit on the returned results set using a GUC variable:
     gin_fuzzy_search_limit