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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>9.13. Text Search Functions and Operators</title><link rel="stylesheet" type="text/css" href="stylesheet.css" /><link rev="made" href="pgsql-docs@lists.postgresql.org" /><meta name="generator" content="DocBook XSL Stylesheets Vsnapshot" /><link rel="prev" href="functions-net.html" title="9.12. Network Address Functions and Operators" /><link rel="next" href="functions-uuid.html" title="9.14. UUID Functions" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">9.13. Text Search Functions and Operators</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="functions-net.html" title="9.12. Network Address Functions and Operators">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="functions.html" title="Chapter 9. Functions and Operators">Up</a></td><th width="60%" align="center">Chapter 9. Functions and Operators</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 16.2 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="functions-uuid.html" title="9.14. UUID Functions">Next</a></td></tr></table><hr /></div><div class="sect1" id="FUNCTIONS-TEXTSEARCH"><div class="titlepage"><div><div><h2 class="title" style="clear: both">9.13. Text Search Functions and Operators <a href="#FUNCTIONS-TEXTSEARCH" class="id_link">#</a></h2></div></div></div><a id="id-1.5.8.19.2" class="indexterm"></a><a id="id-1.5.8.19.3" class="indexterm"></a><p>
<a class="xref" href="functions-textsearch.html#TEXTSEARCH-OPERATORS-TABLE" title="Table 9.42. Text Search Operators">Table 9.42</a>,
<a class="xref" href="functions-textsearch.html#TEXTSEARCH-FUNCTIONS-TABLE" title="Table 9.43. Text Search Functions">Table 9.43</a> and
<a class="xref" href="functions-textsearch.html#TEXTSEARCH-FUNCTIONS-DEBUG-TABLE" title="Table 9.44. Text Search Debugging Functions">Table 9.44</a>
summarize the functions and operators that are provided
for full text searching. See <a class="xref" href="textsearch.html" title="Chapter 12. Full Text Search">Chapter 12</a> for a detailed
explanation of <span class="productname">PostgreSQL</span>'s text search
facility.
</p><div class="table" id="TEXTSEARCH-OPERATORS-TABLE"><p class="title"><strong>Table 9.42. Text Search Operators</strong></p><div class="table-contents"><table class="table" summary="Text Search Operators" border="1"><colgroup><col /></colgroup><thead><tr><th class="func_table_entry"><p class="func_signature">
Operator
</p>
<p>
Description
</p>
<p>
Example(s)
</p></th></tr></thead><tbody><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsvector</code> <code class="literal">@@</code> <code class="type">tsquery</code>
→ <code class="returnvalue">boolean</code>
</p>
<p class="func_signature">
<code class="type">tsquery</code> <code class="literal">@@</code> <code class="type">tsvector</code>
→ <code class="returnvalue">boolean</code>
</p>
<p>
Does <code class="type">tsvector</code> match <code class="type">tsquery</code>?
(The arguments can be given in either order.)
</p>
<p>
<code class="literal">to_tsvector('fat cats ate rats') @@ to_tsquery('cat & rat')</code>
→ <code class="returnvalue">t</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">text</code> <code class="literal">@@</code> <code class="type">tsquery</code>
→ <code class="returnvalue">boolean</code>
</p>
<p>
Does text string, after implicit invocation
of <code class="function">to_tsvector()</code>, match <code class="type">tsquery</code>?
</p>
<p>
<code class="literal">'fat cats ate rats' @@ to_tsquery('cat & rat')</code>
→ <code class="returnvalue">t</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsvector</code> <code class="literal">@@@</code> <code class="type">tsquery</code>
→ <code class="returnvalue">boolean</code>
</p>
<p class="func_signature">
<code class="type">tsquery</code> <code class="literal">@@@</code> <code class="type">tsvector</code>
→ <code class="returnvalue">boolean</code>
</p>
<p>
This is a deprecated synonym for <code class="literal">@@</code>.
</p>
<p>
<code class="literal">to_tsvector('fat cats ate rats') @@@ to_tsquery('cat & rat')</code>
→ <code class="returnvalue">t</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsvector</code> <code class="literal">||</code> <code class="type">tsvector</code>
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Concatenates two <code class="type">tsvector</code>s. If both inputs contain
lexeme positions, the second input's positions are adjusted
accordingly.
</p>
<p>
<code class="literal">'a:1 b:2'::tsvector || 'c:1 d:2 b:3'::tsvector</code>
→ <code class="returnvalue">'a':1 'b':2,5 'c':3 'd':4</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsquery</code> <code class="literal">&&</code> <code class="type">tsquery</code>
→ <code class="returnvalue">tsquery</code>
</p>
<p>
ANDs two <code class="type">tsquery</code>s together, producing a query that
matches documents that match both input queries.
</p>
<p>
<code class="literal">'fat | rat'::tsquery && 'cat'::tsquery</code>
→ <code class="returnvalue">( 'fat' | 'rat' ) & 'cat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsquery</code> <code class="literal">||</code> <code class="type">tsquery</code>
→ <code class="returnvalue">tsquery</code>
</p>
<p>
ORs two <code class="type">tsquery</code>s together, producing a query that
matches documents that match either input query.
</p>
<p>
<code class="literal">'fat | rat'::tsquery || 'cat'::tsquery</code>
→ <code class="returnvalue">'fat' | 'rat' | 'cat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="literal">!!</code> <code class="type">tsquery</code>
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Negates a <code class="type">tsquery</code>, producing a query that matches
documents that do not match the input query.
</p>
<p>
<code class="literal">!! 'cat'::tsquery</code>
→ <code class="returnvalue">!'cat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsquery</code> <code class="literal"><-></code> <code class="type">tsquery</code>
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Constructs a phrase query, which matches if the two input queries
match at successive lexemes.
</p>
<p>
<code class="literal">to_tsquery('fat') <-> to_tsquery('rat')</code>
→ <code class="returnvalue">'fat' <-> 'rat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsquery</code> <code class="literal">@></code> <code class="type">tsquery</code>
→ <code class="returnvalue">boolean</code>
</p>
<p>
Does first <code class="type">tsquery</code> contain the second? (This considers
only whether all the lexemes appearing in one query appear in the
other, ignoring the combining operators.)
</p>
<p>
<code class="literal">'cat'::tsquery @> 'cat & rat'::tsquery</code>
→ <code class="returnvalue">f</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="type">tsquery</code> <code class="literal"><@</code> <code class="type">tsquery</code>
→ <code class="returnvalue">boolean</code>
</p>
<p>
Is first <code class="type">tsquery</code> contained in the second? (This
considers only whether all the lexemes appearing in one query appear
in the other, ignoring the combining operators.)
</p>
<p>
<code class="literal">'cat'::tsquery <@ 'cat & rat'::tsquery</code>
→ <code class="returnvalue">t</code>
</p>
<p>
<code class="literal">'cat'::tsquery <@ '!cat & rat'::tsquery</code>
→ <code class="returnvalue">t</code>
</p></td></tr></tbody></table></div></div><br class="table-break" /><p>
In addition to these specialized operators, the usual comparison
operators shown in <a class="xref" href="functions-comparison.html#FUNCTIONS-COMPARISON-OP-TABLE" title="Table 9.1. Comparison Operators">Table 9.1</a> are
available for types <code class="type">tsvector</code> and <code class="type">tsquery</code>.
These are not very
useful for text searching but allow, for example, unique indexes to be
built on columns of these types.
</p><div class="table" id="TEXTSEARCH-FUNCTIONS-TABLE"><p class="title"><strong>Table 9.43. Text Search Functions</strong></p><div class="table-contents"><table class="table" summary="Text Search Functions" border="1"><colgroup><col /></colgroup><thead><tr><th class="func_table_entry"><p class="func_signature">
Function
</p>
<p>
Description
</p>
<p>
Example(s)
</p></th></tr></thead><tbody><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.1.1.1.1" class="indexterm"></a>
<code class="function">array_to_tsvector</code> ( <code class="type">text[]</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Converts an array of text strings to a <code class="type">tsvector</code>.
The given strings are used as lexemes as-is, without further
processing. Array elements must not be empty strings
or <code class="literal">NULL</code>.
</p>
<p>
<code class="literal">array_to_tsvector('{fat,cat,rat}'::text[])</code>
→ <code class="returnvalue">'cat' 'fat' 'rat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.2.1.1.1" class="indexterm"></a>
<code class="function">get_current_ts_config</code> ( )
→ <code class="returnvalue">regconfig</code>
</p>
<p>
Returns the OID of the current default text search configuration
(as set by <a class="xref" href="runtime-config-client.html#GUC-DEFAULT-TEXT-SEARCH-CONFIG">default_text_search_config</a>).
</p>
<p>
<code class="literal">get_current_ts_config()</code>
→ <code class="returnvalue">english</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.3.1.1.1" class="indexterm"></a>
<code class="function">length</code> ( <code class="type">tsvector</code> )
→ <code class="returnvalue">integer</code>
</p>
<p>
Returns the number of lexemes in the <code class="type">tsvector</code>.
</p>
<p>
<code class="literal">length('fat:2,4 cat:3 rat:5A'::tsvector)</code>
→ <code class="returnvalue">3</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.4.1.1.1" class="indexterm"></a>
<code class="function">numnode</code> ( <code class="type">tsquery</code> )
→ <code class="returnvalue">integer</code>
</p>
<p>
Returns the number of lexemes plus operators in
the <code class="type">tsquery</code>.
</p>
<p>
<code class="literal">numnode('(fat & rat) | cat'::tsquery)</code>
→ <code class="returnvalue">5</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.5.1.1.1" class="indexterm"></a>
<code class="function">plainto_tsquery</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>query</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Converts text to a <code class="type">tsquery</code>, normalizing words according to
the specified or default configuration. Any punctuation in the string
is ignored (it does not determine query operators). The resulting
query matches documents containing all non-stopwords in the text.
</p>
<p>
<code class="literal">plainto_tsquery('english', 'The Fat Rats')</code>
→ <code class="returnvalue">'fat' & 'rat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.6.1.1.1" class="indexterm"></a>
<code class="function">phraseto_tsquery</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>query</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Converts text to a <code class="type">tsquery</code>, normalizing words according to
the specified or default configuration. Any punctuation in the string
is ignored (it does not determine query operators). The resulting
query matches phrases containing all non-stopwords in the text.
</p>
<p>
<code class="literal">phraseto_tsquery('english', 'The Fat Rats')</code>
→ <code class="returnvalue">'fat' <-> 'rat'</code>
</p>
<p>
<code class="literal">phraseto_tsquery('english', 'The Cat and Rats')</code>
→ <code class="returnvalue">'cat' <2> 'rat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.7.1.1.1" class="indexterm"></a>
<code class="function">websearch_to_tsquery</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>query</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Converts text to a <code class="type">tsquery</code>, normalizing words according
to the specified or default configuration. Quoted word sequences are
converted to phrase tests. The word <span class="quote">“<span class="quote">or</span>”</span> is understood
as producing an OR operator, and a dash produces a NOT operator;
other punctuation is ignored.
This approximates the behavior of some common web search tools.
</p>
<p>
<code class="literal">websearch_to_tsquery('english', '"fat rat" or cat dog')</code>
→ <code class="returnvalue">'fat' <-> 'rat' | 'cat' & 'dog'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.8.1.1.1" class="indexterm"></a>
<code class="function">querytree</code> ( <code class="type">tsquery</code> )
→ <code class="returnvalue">text</code>
</p>
<p>
Produces a representation of the indexable portion of
a <code class="type">tsquery</code>. A result that is empty or
just <code class="literal">T</code> indicates a non-indexable query.
</p>
<p>
<code class="literal">querytree('foo & ! bar'::tsquery)</code>
→ <code class="returnvalue">'foo'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.9.1.1.1" class="indexterm"></a>
<code class="function">setweight</code> ( <em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>, <em class="parameter"><code>weight</code></em> <code class="type">"char"</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Assigns the specified <em class="parameter"><code>weight</code></em> to each element
of the <em class="parameter"><code>vector</code></em>.
</p>
<p>
<code class="literal">setweight('fat:2,4 cat:3 rat:5B'::tsvector, 'A')</code>
→ <code class="returnvalue">'cat':3A 'fat':2A,4A 'rat':5A</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.10.1.1.1" class="indexterm"></a>
<code class="function">setweight</code> ( <em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>, <em class="parameter"><code>weight</code></em> <code class="type">"char"</code>, <em class="parameter"><code>lexemes</code></em> <code class="type">text[]</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Assigns the specified <em class="parameter"><code>weight</code></em> to elements
of the <em class="parameter"><code>vector</code></em> that are listed
in <em class="parameter"><code>lexemes</code></em>.
The strings in <em class="parameter"><code>lexemes</code></em> are taken as lexemes
as-is, without further processing. Strings that do not match any
lexeme in <em class="parameter"><code>vector</code></em> are ignored.
</p>
<p>
<code class="literal">setweight('fat:2,4 cat:3 rat:5,6B'::tsvector, 'A', '{cat,rat}')</code>
→ <code class="returnvalue">'cat':3A 'fat':2,4 'rat':5A,6A</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.11.1.1.1" class="indexterm"></a>
<code class="function">strip</code> ( <code class="type">tsvector</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Removes positions and weights from the <code class="type">tsvector</code>.
</p>
<p>
<code class="literal">strip('fat:2,4 cat:3 rat:5A'::tsvector)</code>
→ <code class="returnvalue">'cat' 'fat' 'rat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.12.1.1.1" class="indexterm"></a>
<code class="function">to_tsquery</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>query</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Converts text to a <code class="type">tsquery</code>, normalizing words according to
the specified or default configuration. The words must be combined
by valid <code class="type">tsquery</code> operators.
</p>
<p>
<code class="literal">to_tsquery('english', 'The & Fat & Rats')</code>
→ <code class="returnvalue">'fat' & 'rat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.13.1.1.1" class="indexterm"></a>
<code class="function">to_tsvector</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Converts text to a <code class="type">tsvector</code>, normalizing words according
to the specified or default configuration. Position information is
included in the result.
</p>
<p>
<code class="literal">to_tsvector('english', 'The Fat Rats')</code>
→ <code class="returnvalue">'fat':2 'rat':3</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">to_tsvector</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">json</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p class="func_signature">
<code class="function">to_tsvector</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">jsonb</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Converts each string value in the JSON document to
a <code class="type">tsvector</code>, normalizing words according to the specified
or default configuration. The results are then concatenated in
document order to produce the output. Position information is
generated as though one stopword exists between each pair of string
values. (Beware that <span class="quote">“<span class="quote">document order</span>”</span> of the fields of a
JSON object is implementation-dependent when the input
is <code class="type">jsonb</code>; observe the difference in the examples.)
</p>
<p>
<code class="literal">to_tsvector('english', '{"aa": "The Fat Rats", "b": "dog"}'::json)</code>
→ <code class="returnvalue">'dog':5 'fat':2 'rat':3</code>
</p>
<p>
<code class="literal">to_tsvector('english', '{"aa": "The Fat Rats", "b": "dog"}'::jsonb)</code>
→ <code class="returnvalue">'dog':1 'fat':4 'rat':5</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.15.1.1.1" class="indexterm"></a>
<code class="function">json_to_tsvector</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">json</code>,
<em class="parameter"><code>filter</code></em> <code class="type">jsonb</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p class="func_signature">
<a id="id-1.5.8.19.7.2.2.15.1.2.1" class="indexterm"></a>
<code class="function">jsonb_to_tsvector</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">jsonb</code>,
<em class="parameter"><code>filter</code></em> <code class="type">jsonb</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Selects each item in the JSON document that is requested by
the <em class="parameter"><code>filter</code></em> and converts each one to
a <code class="type">tsvector</code>, normalizing words according to the specified
or default configuration. The results are then concatenated in
document order to produce the output. Position information is
generated as though one stopword exists between each pair of selected
items. (Beware that <span class="quote">“<span class="quote">document order</span>”</span> of the fields of a
JSON object is implementation-dependent when the input
is <code class="type">jsonb</code>.)
The <em class="parameter"><code>filter</code></em> must be a <code class="type">jsonb</code>
array containing zero or more of these keywords:
<code class="literal">"string"</code> (to include all string values),
<code class="literal">"numeric"</code> (to include all numeric values),
<code class="literal">"boolean"</code> (to include all boolean values),
<code class="literal">"key"</code> (to include all keys), or
<code class="literal">"all"</code> (to include all the above).
As a special case, the <em class="parameter"><code>filter</code></em> can also be a
simple JSON value that is one of these keywords.
</p>
<p>
<code class="literal">json_to_tsvector('english', '{"a": "The Fat Rats", "b": 123}'::json, '["string", "numeric"]')</code>
→ <code class="returnvalue">'123':5 'fat':2 'rat':3</code>
</p>
<p>
<code class="literal">json_to_tsvector('english', '{"cat": "The Fat Rats", "dog": 123}'::json, '"all"')</code>
→ <code class="returnvalue">'123':9 'cat':1 'dog':7 'fat':4 'rat':5</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.16.1.1.1" class="indexterm"></a>
<code class="function">ts_delete</code> ( <em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>, <em class="parameter"><code>lexeme</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Removes any occurrence of the given <em class="parameter"><code>lexeme</code></em>
from the <em class="parameter"><code>vector</code></em>.
The <em class="parameter"><code>lexeme</code></em> string is treated as a lexeme as-is,
without further processing.
</p>
<p>
<code class="literal">ts_delete('fat:2,4 cat:3 rat:5A'::tsvector, 'fat')</code>
→ <code class="returnvalue">'cat':3 'rat':5A</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">ts_delete</code> ( <em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>, <em class="parameter"><code>lexemes</code></em> <code class="type">text[]</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Removes any occurrences of the lexemes
in <em class="parameter"><code>lexemes</code></em>
from the <em class="parameter"><code>vector</code></em>.
The strings in <em class="parameter"><code>lexemes</code></em> are taken as lexemes
as-is, without further processing. Strings that do not match any
lexeme in <em class="parameter"><code>vector</code></em> are ignored.
</p>
<p>
<code class="literal">ts_delete('fat:2,4 cat:3 rat:5A'::tsvector, ARRAY['fat','rat'])</code>
→ <code class="returnvalue">'cat':3</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.18.1.1.1" class="indexterm"></a>
<code class="function">ts_filter</code> ( <em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>, <em class="parameter"><code>weights</code></em> <code class="type">"char"[]</code> )
→ <code class="returnvalue">tsvector</code>
</p>
<p>
Selects only elements with the given <em class="parameter"><code>weights</code></em>
from the <em class="parameter"><code>vector</code></em>.
</p>
<p>
<code class="literal">ts_filter('fat:2,4 cat:3b,7c rat:5A'::tsvector, '{a,b}')</code>
→ <code class="returnvalue">'cat':3B 'rat':5A</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.19.1.1.1" class="indexterm"></a>
<code class="function">ts_headline</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">text</code>,
<em class="parameter"><code>query</code></em> <code class="type">tsquery</code>
[<span class="optional">, <em class="parameter"><code>options</code></em> <code class="type">text</code> </span>] )
→ <code class="returnvalue">text</code>
</p>
<p>
Displays, in an abbreviated form, the match(es) for
the <em class="parameter"><code>query</code></em> in
the <em class="parameter"><code>document</code></em>, which must be raw text not
a <code class="type">tsvector</code>. Words in the document are normalized
according to the specified or default configuration before matching to
the query. Use of this function is discussed in
<a class="xref" href="textsearch-controls.html#TEXTSEARCH-HEADLINE" title="12.3.4. Highlighting Results">Section 12.3.4</a>, which also describes the
available <em class="parameter"><code>options</code></em>.
</p>
<p>
<code class="literal">ts_headline('The fat cat ate the rat.', 'cat')</code>
→ <code class="returnvalue">The fat <b>cat</b> ate the rat.</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">ts_headline</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">json</code>,
<em class="parameter"><code>query</code></em> <code class="type">tsquery</code>
[<span class="optional">, <em class="parameter"><code>options</code></em> <code class="type">text</code> </span>] )
→ <code class="returnvalue">text</code>
</p>
<p class="func_signature">
<code class="function">ts_headline</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">jsonb</code>,
<em class="parameter"><code>query</code></em> <code class="type">tsquery</code>
[<span class="optional">, <em class="parameter"><code>options</code></em> <code class="type">text</code> </span>] )
→ <code class="returnvalue">text</code>
</p>
<p>
Displays, in an abbreviated form, match(es) for
the <em class="parameter"><code>query</code></em> that occur in string values
within the JSON <em class="parameter"><code>document</code></em>.
See <a class="xref" href="textsearch-controls.html#TEXTSEARCH-HEADLINE" title="12.3.4. Highlighting Results">Section 12.3.4</a> for more details.
</p>
<p>
<code class="literal">ts_headline('{"cat":"raining cats and dogs"}'::jsonb, 'cat')</code>
→ <code class="returnvalue">{"cat": "raining <b>cats</b> and dogs"}</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.21.1.1.1" class="indexterm"></a>
<code class="function">ts_rank</code> (
[<span class="optional"> <em class="parameter"><code>weights</code></em> <code class="type">real[]</code>, </span>]
<em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>,
<em class="parameter"><code>query</code></em> <code class="type">tsquery</code>
[<span class="optional">, <em class="parameter"><code>normalization</code></em> <code class="type">integer</code> </span>] )
→ <code class="returnvalue">real</code>
</p>
<p>
Computes a score showing how well
the <em class="parameter"><code>vector</code></em> matches
the <em class="parameter"><code>query</code></em>. See
<a class="xref" href="textsearch-controls.html#TEXTSEARCH-RANKING" title="12.3.3. Ranking Search Results">Section 12.3.3</a> for details.
</p>
<p>
<code class="literal">ts_rank(to_tsvector('raining cats and dogs'), 'cat')</code>
→ <code class="returnvalue">0.06079271</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.22.1.1.1" class="indexterm"></a>
<code class="function">ts_rank_cd</code> (
[<span class="optional"> <em class="parameter"><code>weights</code></em> <code class="type">real[]</code>, </span>]
<em class="parameter"><code>vector</code></em> <code class="type">tsvector</code>,
<em class="parameter"><code>query</code></em> <code class="type">tsquery</code>
[<span class="optional">, <em class="parameter"><code>normalization</code></em> <code class="type">integer</code> </span>] )
→ <code class="returnvalue">real</code>
</p>
<p>
Computes a score showing how well
the <em class="parameter"><code>vector</code></em> matches
the <em class="parameter"><code>query</code></em>, using a cover density
algorithm. See <a class="xref" href="textsearch-controls.html#TEXTSEARCH-RANKING" title="12.3.3. Ranking Search Results">Section 12.3.3</a> for details.
</p>
<p>
<code class="literal">ts_rank_cd(to_tsvector('raining cats and dogs'), 'cat')</code>
→ <code class="returnvalue">0.1</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.23.1.1.1" class="indexterm"></a>
<code class="function">ts_rewrite</code> ( <em class="parameter"><code>query</code></em> <code class="type">tsquery</code>,
<em class="parameter"><code>target</code></em> <code class="type">tsquery</code>,
<em class="parameter"><code>substitute</code></em> <code class="type">tsquery</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Replaces occurrences of <em class="parameter"><code>target</code></em>
with <em class="parameter"><code>substitute</code></em>
within the <em class="parameter"><code>query</code></em>.
See <a class="xref" href="textsearch-features.html#TEXTSEARCH-QUERY-REWRITING" title="12.4.2.1. Query Rewriting">Section 12.4.2.1</a> for details.
</p>
<p>
<code class="literal">ts_rewrite('a & b'::tsquery, 'a'::tsquery, 'foo|bar'::tsquery)</code>
→ <code class="returnvalue">'b' & ( 'foo' | 'bar' )</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">ts_rewrite</code> ( <em class="parameter"><code>query</code></em> <code class="type">tsquery</code>,
<em class="parameter"><code>select</code></em> <code class="type">text</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Replaces portions of the <em class="parameter"><code>query</code></em> according to
target(s) and substitute(s) obtained by executing
a <code class="command">SELECT</code> command.
See <a class="xref" href="textsearch-features.html#TEXTSEARCH-QUERY-REWRITING" title="12.4.2.1. Query Rewriting">Section 12.4.2.1</a> for details.
</p>
<p>
<code class="literal">SELECT ts_rewrite('a & b'::tsquery, 'SELECT t,s FROM aliases')</code>
→ <code class="returnvalue">'b' & ( 'foo' | 'bar' )</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.25.1.1.1" class="indexterm"></a>
<code class="function">tsquery_phrase</code> ( <em class="parameter"><code>query1</code></em> <code class="type">tsquery</code>, <em class="parameter"><code>query2</code></em> <code class="type">tsquery</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Constructs a phrase query that searches
for matches of <em class="parameter"><code>query1</code></em>
and <em class="parameter"><code>query2</code></em> at successive lexemes (same
as <code class="literal"><-></code> operator).
</p>
<p>
<code class="literal">tsquery_phrase(to_tsquery('fat'), to_tsquery('cat'))</code>
→ <code class="returnvalue">'fat' <-> 'cat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">tsquery_phrase</code> ( <em class="parameter"><code>query1</code></em> <code class="type">tsquery</code>, <em class="parameter"><code>query2</code></em> <code class="type">tsquery</code>, <em class="parameter"><code>distance</code></em> <code class="type">integer</code> )
→ <code class="returnvalue">tsquery</code>
</p>
<p>
Constructs a phrase query that searches
for matches of <em class="parameter"><code>query1</code></em> and
<em class="parameter"><code>query2</code></em> that occur exactly
<em class="parameter"><code>distance</code></em> lexemes apart.
</p>
<p>
<code class="literal">tsquery_phrase(to_tsquery('fat'), to_tsquery('cat'), 10)</code>
→ <code class="returnvalue">'fat' <10> 'cat'</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.27.1.1.1" class="indexterm"></a>
<code class="function">tsvector_to_array</code> ( <code class="type">tsvector</code> )
→ <code class="returnvalue">text[]</code>
</p>
<p>
Converts a <code class="type">tsvector</code> to an array of lexemes.
</p>
<p>
<code class="literal">tsvector_to_array('fat:2,4 cat:3 rat:5A'::tsvector)</code>
→ <code class="returnvalue">{cat,fat,rat}</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.7.2.2.28.1.1.1" class="indexterm"></a>
<code class="function">unnest</code> ( <code class="type">tsvector</code> )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>lexeme</code></em> <code class="type">text</code>,
<em class="parameter"><code>positions</code></em> <code class="type">smallint[]</code>,
<em class="parameter"><code>weights</code></em> <code class="type">text</code> )
</p>
<p>
Expands a <code class="type">tsvector</code> into a set of rows, one per lexeme.
</p>
<p>
<code class="literal">select * from unnest('cat:3 fat:2,4 rat:5A'::tsvector)</code>
→ <code class="returnvalue"></code>
</p><pre class="programlisting">
lexeme | positions | weights
--------+-----------+---------
cat | {3} | {D}
fat | {2,4} | {D,D}
rat | {5} | {A}
</pre><p>
</p></td></tr></tbody></table></div></div><br class="table-break" /><div class="note"><h3 class="title">Note</h3><p>
All the text search functions that accept an optional <code class="type">regconfig</code>
argument will use the configuration specified by
<a class="xref" href="runtime-config-client.html#GUC-DEFAULT-TEXT-SEARCH-CONFIG">default_text_search_config</a>
when that argument is omitted.
</p></div><p>
The functions in
<a class="xref" href="functions-textsearch.html#TEXTSEARCH-FUNCTIONS-DEBUG-TABLE" title="Table 9.44. Text Search Debugging Functions">Table 9.44</a>
are listed separately because they are not usually used in everyday text
searching operations. They are primarily helpful for development and
debugging of new text search configurations.
</p><div class="table" id="TEXTSEARCH-FUNCTIONS-DEBUG-TABLE"><p class="title"><strong>Table 9.44. Text Search Debugging Functions</strong></p><div class="table-contents"><table class="table" summary="Text Search Debugging Functions" border="1"><colgroup><col /></colgroup><thead><tr><th class="func_table_entry"><p class="func_signature">
Function
</p>
<p>
Description
</p>
<p>
Example(s)
</p></th></tr></thead><tbody><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.10.2.2.1.1.1.1" class="indexterm"></a>
<code class="function">ts_debug</code> (
[<span class="optional"> <em class="parameter"><code>config</code></em> <code class="type">regconfig</code>, </span>]
<em class="parameter"><code>document</code></em> <code class="type">text</code> )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>alias</code></em> <code class="type">text</code>,
<em class="parameter"><code>description</code></em> <code class="type">text</code>,
<em class="parameter"><code>token</code></em> <code class="type">text</code>,
<em class="parameter"><code>dictionaries</code></em> <code class="type">regdictionary[]</code>,
<em class="parameter"><code>dictionary</code></em> <code class="type">regdictionary</code>,
<em class="parameter"><code>lexemes</code></em> <code class="type">text[]</code> )
</p>
<p>
Extracts and normalizes tokens from
the <em class="parameter"><code>document</code></em> according to the specified or
default text search configuration, and returns information about how
each token was processed.
See <a class="xref" href="textsearch-debugging.html#TEXTSEARCH-CONFIGURATION-TESTING" title="12.8.1. Configuration Testing">Section 12.8.1</a> for details.
</p>
<p>
<code class="literal">ts_debug('english', 'The Brightest supernovaes')</code>
→ <code class="returnvalue">(asciiword,"Word, all ASCII",The,{english_stem},english_stem,{}) ...</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.10.2.2.2.1.1.1" class="indexterm"></a>
<code class="function">ts_lexize</code> ( <em class="parameter"><code>dict</code></em> <code class="type">regdictionary</code>, <em class="parameter"><code>token</code></em> <code class="type">text</code> )
→ <code class="returnvalue">text[]</code>
</p>
<p>
Returns an array of replacement lexemes if the input token is known to
the dictionary, or an empty array if the token is known to the
dictionary but it is a stop word, or NULL if it is not a known word.
See <a class="xref" href="textsearch-debugging.html#TEXTSEARCH-DICTIONARY-TESTING" title="12.8.3. Dictionary Testing">Section 12.8.3</a> for details.
</p>
<p>
<code class="literal">ts_lexize('english_stem', 'stars')</code>
→ <code class="returnvalue">{star}</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.10.2.2.3.1.1.1" class="indexterm"></a>
<code class="function">ts_parse</code> ( <em class="parameter"><code>parser_name</code></em> <code class="type">text</code>,
<em class="parameter"><code>document</code></em> <code class="type">text</code> )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>tokid</code></em> <code class="type">integer</code>,
<em class="parameter"><code>token</code></em> <code class="type">text</code> )
</p>
<p>
Extracts tokens from the <em class="parameter"><code>document</code></em> using the
named parser.
See <a class="xref" href="textsearch-debugging.html#TEXTSEARCH-PARSER-TESTING" title="12.8.2. Parser Testing">Section 12.8.2</a> for details.
</p>
<p>
<code class="literal">ts_parse('default', 'foo - bar')</code>
→ <code class="returnvalue">(1,foo) ...</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">ts_parse</code> ( <em class="parameter"><code>parser_oid</code></em> <code class="type">oid</code>,
<em class="parameter"><code>document</code></em> <code class="type">text</code> )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>tokid</code></em> <code class="type">integer</code>,
<em class="parameter"><code>token</code></em> <code class="type">text</code> )
</p>
<p>
Extracts tokens from the <em class="parameter"><code>document</code></em> using a
parser specified by OID.
See <a class="xref" href="textsearch-debugging.html#TEXTSEARCH-PARSER-TESTING" title="12.8.2. Parser Testing">Section 12.8.2</a> for details.
</p>
<p>
<code class="literal">ts_parse(3722, 'foo - bar')</code>
→ <code class="returnvalue">(1,foo) ...</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.10.2.2.5.1.1.1" class="indexterm"></a>
<code class="function">ts_token_type</code> ( <em class="parameter"><code>parser_name</code></em> <code class="type">text</code> )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>tokid</code></em> <code class="type">integer</code>,
<em class="parameter"><code>alias</code></em> <code class="type">text</code>,
<em class="parameter"><code>description</code></em> <code class="type">text</code> )
</p>
<p>
Returns a table that describes each type of token the named parser can
recognize.
See <a class="xref" href="textsearch-debugging.html#TEXTSEARCH-PARSER-TESTING" title="12.8.2. Parser Testing">Section 12.8.2</a> for details.
</p>
<p>
<code class="literal">ts_token_type('default')</code>
→ <code class="returnvalue">(1,asciiword,"Word, all ASCII") ...</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<code class="function">ts_token_type</code> ( <em class="parameter"><code>parser_oid</code></em> <code class="type">oid</code> )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>tokid</code></em> <code class="type">integer</code>,
<em class="parameter"><code>alias</code></em> <code class="type">text</code>,
<em class="parameter"><code>description</code></em> <code class="type">text</code> )
</p>
<p>
Returns a table that describes each type of token a parser specified
by OID can recognize.
See <a class="xref" href="textsearch-debugging.html#TEXTSEARCH-PARSER-TESTING" title="12.8.2. Parser Testing">Section 12.8.2</a> for details.
</p>
<p>
<code class="literal">ts_token_type(3722)</code>
→ <code class="returnvalue">(1,asciiword,"Word, all ASCII") ...</code>
</p></td></tr><tr><td class="func_table_entry"><p class="func_signature">
<a id="id-1.5.8.19.10.2.2.7.1.1.1" class="indexterm"></a>
<code class="function">ts_stat</code> ( <em class="parameter"><code>sqlquery</code></em> <code class="type">text</code>
[<span class="optional">, <em class="parameter"><code>weights</code></em> <code class="type">text</code> </span>] )
→ <code class="returnvalue">setof record</code>
( <em class="parameter"><code>word</code></em> <code class="type">text</code>,
<em class="parameter"><code>ndoc</code></em> <code class="type">integer</code>,
<em class="parameter"><code>nentry</code></em> <code class="type">integer</code> )
</p>
<p>
Executes the <em class="parameter"><code>sqlquery</code></em>, which must return a
single <code class="type">tsvector</code> column, and returns statistics about each
distinct lexeme contained in the data.
See <a class="xref" href="textsearch-features.html#TEXTSEARCH-STATISTICS" title="12.4.4. Gathering Document Statistics">Section 12.4.4</a> for details.
</p>
<p>
<code class="literal">ts_stat('SELECT vector FROM apod')</code>
→ <code class="returnvalue">(foo,10,15) ...</code>
</p></td></tr></tbody></table></div></div><br class="table-break" /></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="functions-net.html" title="9.12. Network Address Functions and Operators">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="functions.html" title="Chapter 9. Functions and Operators">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="functions-uuid.html" title="9.14. UUID Functions">Next</a></td></tr><tr><td width="40%" align="left" valign="top">9.12. Network Address Functions and Operators </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 16.2 Documentation">Home</a></td><td width="40%" align="right" valign="top"> 9.14. UUID Functions</td></tr></table></div></body></html>
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