mirror/postgresql
2
0
Fork 0
mirror of https://git.postgresql.org/git/postgresql.git synced 2024-11-21 03:13:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Minor wording improvements per suggestion from Jeff Davis. Also tweak

Browse Source 
hyphenated-word parser examples per earlier discussion with Alvaro.
This commit is contained in:
Tom Lane 2007-10-27 00:19:45 +00:00
parent 8a8bcb447a
commit 2aac6f10f6
1 changed files with 17 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

33
doc/src/sgml/textsearch.sgml
View File

@ -1,4 +1,4 @@
<!-- $PostgreSQL: pgsql/doc/src/sgml/textsearch.sgml,v 1.26 2007/10/25 13:06:35 alvherre Exp $ -->
<!-- $PostgreSQL: pgsql/doc/src/sgml/textsearch.sgml,v 1.27 2007/10/27 00:19:45 tgl Exp $ -->
<chapter id="textsearch">
<title id="textsearch-title">Full Text Search</title>
@ -1770,7 +1770,7 @@ LIMIT 10;
<row>
<entry><literal>hword</></entry>
<entry>Hyphenated word, all letters</entry>
<entry><literal>pol&iacute;tico-militar</literal></entry>
<entry><literal>l&oacute;gico-matem&aacute;tica</literal></entry>
</row>
<row>
<entry><literal>numhword</></entry>
@ -1780,14 +1780,13 @@ LIMIT 10;
<row>
<entry><literal>hword_asciipart</></entry>
<entry>Hyphenated word part, all ASCII</entry>
<entry><literal>militar</literal> in the context
<literal>pol&iacute;tico-militar</literal>, or <literal>postgresql</literal> in the context <literal>postgresql-beta1</literal></entry>
<entry><literal>postgresql</literal> in the context <literal>postgresql-beta1</literal></entry>
</row>
<row>
<entry><literal>hword_part</></entry>
<entry>Hyphenated word part, all letters</entry>
<entry><literal>f&iacute;sico</literal> or <literal>qu&iacute;mico</literal>
in the context <literal>f&iacute;sico-qu&iacute;mico</literal></entry>
<entry><literal>l&oacute;gico</literal> or <literal>matem&aacute;tica</literal>
in the context <literal>l&oacute;gico-matem&aacute;tica</literal></entry>
</row>
<row>
<entry><literal>hword_numpart</></entry>
@ -1902,12 +1901,12 @@ SELECT alias, description, token FROM ts_debug('foo-bar-beta1');
instructive example:
<programlisting>
SELECT alias, description, token FROM ts_debug('http://foo.com/stuff/index.html');
alias | description | token
----------+---------------+--------------------------
SELECT alias, description, token FROM ts_debug('http://example.com/stuff/index.html');
alias | description | token
----------+---------------+------------------------------
protocol | Protocol head | http://
url | URL | foo.com/stuff/index.html
host | Host | foo.com
url | URL | example.com/stuff/index.html
host | Host | example.com
uri | URI | /stuff/index.html
</programlisting>
</para>
@ -3093,8 +3092,9 @@ SELECT plainto_tsquery('supernovae stars');
</para>
<para>
A GiST index is <firstterm>lossy</firstterm>, meaning it is necessary
to check the actual table row to eliminate false matches.
A GiST index is <firstterm>lossy</firstterm>, meaning that the index
may produce false matches, and it is necessary
to check the actual table row to eliminate such false matches.
<productname>PostgreSQL</productname> does this automatically; for
example, in the query plan below, the <literal>Filter:</literal>
line indicates the index output will be rechecked:
@ -3112,14 +3112,15 @@ EXPLAIN SELECT * FROM apod WHERE textsearch @@ to_tsquery('supernovae');
index by a fixed-length signature. The signature is generated by hashing
each word into a random bit in an n-bit string, with all these bits OR-ed
together to produce an n-bit document signature. When two words hash to
the same bit position there will be a false match, and if all words in
the same bit position there will be a false match. If all words in
the query have matches (real or false) then the table row must be
retrieved to see if the match is correct.
</para>
<para>
Lossiness causes performance degradation since random access to table
records is slow; this limits the usefulness of GiST indexes. The
Lossiness causes performance degradation due to useless fetches of table
records that turn out to be false matches. Since random access to table
records is slow, this limits the usefulness of GiST indexes. The
likelihood of false matches depends on several factors, in particular the
number of unique words, so using dictionaries to reduce this number is
recommended.