Text Search Functions and Operators
| PostgreSQL 9.6.20 Documentation | |||
|---|---|---|---|
| Prev | Up | Chapter 9. Functions and Operators | Next |
Table 9-39 , Table 9-40 and Table 9-41 summarize the functions and operators that are provided for full text searching. See Chapter 12 for a detailed explanation of PostgreSQL 's text search facility.
Table 9-39. Text Search Operators
| Operator | Return Type | Description | Example | Result |
|---|---|---|---|---|
| @@ | boolean | tsvector matches tsquery ? | to_tsvector('fat cats ate rats') @@ to_tsquery('cat & rat') | t |
| @@@ | boolean | deprecated synonym for @@ | to_tsvector('fat cats ate rats') @@@ to_tsquery('cat & rat') | t |
| || | tsvector | concatenate tsvector s | 'a:1 b:2'::tsvector || 'c:1 d:2 b:3'::tsvector | 'a':1 'b':2,5 'c':3 'd':4 |
| && | tsquery | AND tsquery s together | 'fat | rat'::tsquery && 'cat'::tsquery | ( 'fat' | 'rat' ) & 'cat' |
| || | tsquery | OR tsquery s together | 'fat | rat'::tsquery || 'cat'::tsquery | ( 'fat' | 'rat' ) | 'cat' |
| !! | tsquery | negate a tsquery | !! 'cat'::tsquery | !'cat' |
| <-> | tsquery | tsquery followed by tsquery | to_tsquery('fat') <-> to_tsquery('rat') | 'fat' <-> 'rat' |
| @> | boolean | tsquery contains another ? | 'cat'::tsquery @> 'cat & rat'::tsquery | f |
| <@ | boolean | tsquery is contained in ? | 'cat'::tsquery <@ 'cat & rat'::tsquery | t |
Note: The tsquery containment operators consider only the lexemes listed in the two queries, ignoring the combining operators.
In addition to the operators shown in the table, the ordinary B-tree comparison operators ( = , < , etc) are defined for types tsvector and tsquery . These are not very useful for text searching but allow, for example, unique indexes to be built on columns of these types.
Table 9-40. Text Search Functions
| Function | Return Type | Description | Example | Result |
|---|---|---|---|---|
array_to_tsvector(
text[]
)
|
tsvector | convert array of lexemes to tsvector | array_to_tsvector('{fat,cat,rat}'::text[]) | 'cat' 'fat' 'rat' |
get_current_ts_config()
|
regconfig | get default text search configuration | get_current_ts_config() | english |
length(
tsvector
)
|
integer | number of lexemes in tsvector | length('fat:2,4 cat:3 rat:5A'::tsvector) | 3 |
numnode(
tsquery
)
|
integer | number of lexemes plus operators in tsquery | numnode('(fat & rat) | cat'::tsquery) | 5 |
plainto_tsquery([
config
regconfig
,
]
query
text
)
|
tsquery | produce tsquery ignoring punctuation | plainto_tsquery('english', 'The Fat Rats') | 'fat' & 'rat' |
phraseto_tsquery([
config
regconfig
,
]
query
text
)
|
tsquery | produce tsquery that searches for a phrase, ignoring punctuation | phraseto_tsquery('english', 'The Fat Rats') | 'fat' <-> 'rat' |
querytree(
query
tsquery
)
|
text | get indexable part of a tsquery | querytree('foo & ! bar'::tsquery) | 'foo' |
setweight(
vector
tsvector
,
weight
"char"
)
|
tsvector | assign weight to each element of vector | setweight('fat:2,4 cat:3 rat:5B'::tsvector, 'A') | 'cat':3A 'fat':2A,4A 'rat':5A |
setweight(
vector
tsvector
,
weight
"char"
,
lexemes
text[]
)
|
tsvector | assign weight to elements of vector that are listed in lexemes | setweight('fat:2,4 cat:3 rat:5B'::tsvector, 'A', '{cat,rat}') | 'cat':3A 'fat':2,4 'rat':5A |
strip(
tsvector
)
|
tsvector | remove positions and weights from tsvector | strip('fat:2,4 cat:3 rat:5A'::tsvector) | 'cat' 'fat' 'rat' |
to_tsquery([
config
regconfig
,
]
query
text
)
|
tsquery | normalize words and convert to tsquery | to_tsquery('english', 'The & Fat & Rats') | 'fat' & 'rat' |
to_tsvector([
config
regconfig
,
]
document
text
)
|
tsvector | reduce document text to tsvector | to_tsvector('english', 'The Fat Rats') | 'fat':2 'rat':3 |
ts_delete(
vector
tsvector
,
lexeme
text
)
|
tsvector | remove given lexeme from vector | ts_delete('fat:2,4 cat:3 rat:5A'::tsvector, 'fat') | 'cat':3 'rat':5A |
ts_delete(
vector
tsvector
,
lexemes
text[]
)
|
tsvector | remove any occurrence of lexemes in lexemes from vector | ts_delete('fat:2,4 cat:3 rat:5A'::tsvector, ARRAY['fat','rat']) | 'cat':3 |
ts_filter(
vector
tsvector
,
weights
"char"[]
)
|
tsvector | select only elements with given weights from vector | ts_filter('fat:2,4 cat:3b rat:5A'::tsvector, '{a,b}') | 'cat':3B 'rat':5A |
ts_headline([
config
regconfig
,
]
document
text
,
query
tsquery
[
,
options
text
])
|
text | display a query match | ts_headline('x y z', 'z'::tsquery) | x y z |
ts_rank([
weights
float4[]
,
]
vector
tsvector
,
query
tsquery
[
,
normalization
integer
])
|
float4 | rank document for query | ts_rank(textsearch, query) | 0.818 |
ts_rank_cd([
weights
float4[]
,
]
vector
tsvector
,
query
tsquery
[
,
normalization
integer
])
|
float4 | rank document for query using cover density | ts_rank_cd('{0.1, 0.2, 0.4, 1.0}', textsearch, query) | 2.01317 |
ts_rewrite(
query
tsquery
,
target
tsquery
,
substitute
tsquery
)
|
tsquery | replace target with substitute within query | ts_rewrite('a & b'::tsquery, 'a'::tsquery, 'foo|bar'::tsquery) | 'b' & ( 'foo' | 'bar' ) |
ts_rewrite(
query
tsquery
,
select
text
)
|
tsquery | replace using targets and substitutes from a SELECT command | SELECT ts_rewrite('a & b'::tsquery, 'SELECT t,s FROM aliases') | 'b' & ( 'foo' | 'bar' ) |
tsquery_phrase(
query1
tsquery
,
query2
tsquery
)
|
tsquery | make query that searches for query1 followed by query2 (same as <-> operator) | tsquery_phrase(to_tsquery('fat'), to_tsquery('cat')) | 'fat' <-> 'cat' |
tsquery_phrase(
query1
tsquery
,
query2
tsquery
,
distance
integer
)
|
tsquery | make query that searches for query1 followed by query2 at distance distance | tsquery_phrase(to_tsquery('fat'), to_tsquery('cat'), 10) | 'fat' <10> 'cat' |
tsvector_to_array(
tsvector
)
|
text[] | convert tsvector to array of lexemes | tsvector_to_array('fat:2,4 cat:3 rat:5A'::tsvector) | {cat,fat,rat} |
tsvector_update_trigger()
|
trigger | trigger function for automatic tsvector column update | CREATE TRIGGER ... tsvector_update_trigger(tsvcol, 'pg_catalog.swedish', title, body) | |
tsvector_update_trigger_column()
|
trigger | trigger function for automatic tsvector column update | CREATE TRIGGER ... tsvector_update_trigger_column(tsvcol, configcol, title, body) | |
unnest(
tsvector
, OUT
lexeme
text
, OUT
positions
smallint[]
, OUT
weights
text
)
|
setof record | expand a tsvector to a set of rows | unnest('fat:2,4 cat:3 rat:5A'::tsvector) | (cat,{3},{D}) ... |
Note: All the text search functions that accept an optional regconfig argument will use the configuration specified by default_text_search_config when that argument is omitted.
The functions in Table 9-41 are listed separately because they are not usually used in everyday text searching operations. They are helpful for development and debugging of new text search configurations.
Table 9-41. Text Search Debugging Functions
| Function | Return Type | Description | Example | Result |
|---|---|---|---|---|
ts_debug([
config
regconfig
,
]
document
text
, OUT
alias
text
, OUT
description
text
, OUT
token
text
, OUT
dictionaries
regdictionary[]
, OUT
dictionary
regdictionary
, OUT
lexemes
text[]
)
|
setof record | test a configuration | ts_debug('english', 'The Brightest supernovaes') | (asciiword,"Word, all ASCII",The,{english_stem},english_stem,{}) ... |
ts_lexize(
dict
regdictionary
,
token
text
)
|
text[] | test a dictionary | ts_lexize('english_stem', 'stars') | {star} |
ts_parse(
parser_name
text
,
document
text
, OUT
tokid
integer
, OUT
token
text
)
|
setof record | test a parser | ts_parse('default', 'foo - bar') | (1,foo) ... |
ts_parse(
parser_oid
oid
,
document
text
, OUT
tokid
integer
, OUT
token
text
)
|
setof record | test a parser | ts_parse(3722, 'foo - bar') | (1,foo) ... |
ts_token_type(
parser_name
text
, OUT
tokid
integer
, OUT
alias
text
, OUT
description
text
)
|
setof record | get token types defined by parser | ts_token_type('default') | (1,asciiword,"Word, all ASCII") ... |
ts_token_type(
parser_oid
oid
, OUT
tokid
integer
, OUT
alias
text
, OUT
description
text
)
|
setof record | get token types defined by parser | ts_token_type(3722) | (1,asciiword,"Word, all ASCII") ... |
ts_stat(
sqlquery
text
, [
weights
text
,
] OUT
word
text
, OUT
ndoc
integer
, OUT
nentry
integer
)
|
setof record | get statistics of a tsvector column | ts_stat('SELECT vector from apod') | (foo,10,15) ... |