| From: | "Edward J(dot) Sabol" <edwardjsabol(at)gmail(dot)com> |
|---|---|
| To: | pgsql-admin <pgsql-admin(at)lists(dot)postgresql(dot)org> |
| Cc: | Teju Jakkidi vlogs <teja(dot)jakkidi05(at)gmail(dot)com> |
| Subject: | Re: Query taking long with levenshtein function |
| Date: | 2023-03-01 00:22:08 |
| Message-ID: | 3F924798-147F-4EC7-8F36-8559BCE456A2@gmail.com |
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| Lists: | pgsql-admin |
On Feb 28, 2023, at 6:31 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
Teju Jakkidi vlogs <teja(dot)jakkidi05(at)gmail(dot)com> writes:
We have a query as below which uses the levenshtein function to compare
strings.
SELECT "name", levenshtein("name",'some string') as p FROM table1
where levenshtein("name",'some string') <= 2 order by p desc;
We have a GIST index built on top of this table as below:
CREATE INDEX gist_idx ON table1 USING GIST("name");
AFAIK, that index is completely useless for this query. I don't
really see a good way to index it either --- "levenshtein distance
less than X" seems like a not very tractable requirement. Can
you formulate your matching rules some other way?
Can you use trigram similarity instead? That has index support...
Reference links:
F.35. pg_trgm
postgresql.org
Optimize PostgreSQL query with levenshtein() function
stackoverflow.com
Since they are so similar, I also wonder how difficult it would be to take the pg_trgm module and modify it to work with levenshtein() instead....
Regards,
Ed
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