pg_trgm

pg_trgm : text similarity measurement and index searching based on trigrams

Overview

ID	Extension	Package	Version	Category	License	Language
2390	pg_trgm	pg_trgm	`1.6`	FTS	PostgreSQL	C

Attribute	Has Binary	Has Library	Need Load	Has DDL	Relocatable	Trusted
--s-dt-	No	Yes	No	Yes	no	yes

Relationships
See Also	pg_similarity pg_bigm fuzzystrmatch unaccent smlar pgroonga_database rum citext

Packages

PG18	PG17	PG16	PG15	PG14
1.6	1.6	1.6	1.6	1.6

This is a built-in contrib extension ship with the PostgreSQL kernel

Install

Create this extension with:

CREATE EXTENSION pg_trgm;

Usage

pg_trgm: Text similarity measurement and index searching based on trigrams

The pg_trgm module provides functions and operators for determining the similarity of alphanumeric text based on trigram matching, plus index operator classes for fast string similarity searches.

CREATE EXTENSION pg_trgm;

A trigram is a group of three consecutive characters from a string. Two strings are similar if they share many trigrams.

Functions

Function	Description
`similarity(text, text)` → `real`	Returns similarity between 0 and 1
`show_trgm(text)` → `text[]`	Returns array of all trigrams in the string
`word_similarity(text, text)` → `real`	Similarity of first string to most similar word in second
`strict_word_similarity(text, text)` → `real`	Similar but with stricter word boundary matching
`show_limit()` → `real`	(Deprecated) Returns `pg_trgm.similarity_threshold`
`set_limit(real)` → `real`	(Deprecated) Sets `pg_trgm.similarity_threshold`

SELECT similarity('word', 'two words');
-- 0.36363637

SELECT show_trgm('word');
-- {"  w"," wo",ord,"rd ",wor}

Operators

Operator	Description
`text % text` → `boolean`	True if similarity > `pg_trgm.similarity_threshold`
`text <% text` → `boolean`	True if word similarity > `pg_trgm.word_similarity_threshold`
`text %> text` → `boolean`	Commutator of `<%`
`text <<% text` → `boolean`	True if strict word similarity > threshold
`text %>> text` → `boolean`	Commutator of `<<%`
`text <-> text` → `real`	Distance (1 - similarity)
`text <<-> text` → `real`	Word distance (1 - word_similarity)
`text <->> text` → `real`	Commutator of `<<->`
`text <<<-> text` → `real`	Strict word distance
`text <->>> text` → `real`	Commutator of `<<<->`

GUC Parameters

Parameter	Default	Description
`pg_trgm.similarity_threshold`	0.3	Threshold for `%` operator
`pg_trgm.word_similarity_threshold`	0.6	Threshold for `<%` and `%>` operators
`pg_trgm.strict_word_similarity_threshold`	0.5	Threshold for `<<%` and `%>>` operators

Index Support

GiST and GIN indexes support the similarity operators:

-- GIN index (faster lookups, slower builds)
CREATE INDEX trgm_idx ON test_trgm USING GIN (t gin_trgm_ops);

-- GiST index (supports distance operators for KNN)
CREATE INDEX trgm_idx ON test_trgm USING GIST (t gist_trgm_ops);

-- GiST with custom signature length
CREATE INDEX trgm_idx ON test_trgm USING GIST (t gist_trgm_ops(siglen=32));

Text Search Example

Using trigram indexes to speed up LIKE / ILIKE / regex queries:

SELECT t, similarity(t, 'word') AS sml
FROM test_trgm
WHERE t % 'word'
ORDER BY sml DESC, t;

-- KNN search using distance operator
SELECT t, t <-> 'word' AS dist
FROM test_trgm
ORDER BY dist
LIMIT 10;

GIN and GiST trigram indexes also accelerate LIKE, ILIKE, ~, and ~* queries automatically.

Last updated on 2026-03-14

fuzzystrmatch citus