How to create simple fuzzy search with PostgreSQL only?

Postgres provides a module with several string comparsion functions such as soundex and metaphone. But you will want to use the levenshtein edit distance function.

Example:

test=# SELECT levenshtein('GUMBO', 'GAMBOL');
 levenshtein
-------------
           2
(1 row)

The 2 is the edit distance between the two words. When you apply this against a number of words and sort by the edit distance result you will have the type of fuzzy matches that you’re looking for.

Try this query sample: (with your own object names and data of course)

SELECT * 
FROM some_table
WHERE levenshtein(code, 'AB123-lHdfj') <= 3
ORDER BY levenshtein(code, 'AB123-lHdfj')
LIMIT 10

This query says:

Give me the top 10 results of all data from some_table where the edit distance between the code value and the input ‘AB123-lHdfj’ is less than 3. You will get back all rows where the value of code is within 3 characters difference to ‘AB123-lHdfj’…

Note: if you get an error like:

function levenshtein(character varying, unknown) does not exist

Install the fuzzystrmatch extension using:

test=# CREATE EXTENSION fuzzystrmatch;