I've to do fuzzy search on multiple fields (in an attempt to create something like autocomplete similar to product search in amazon). I tried this through ElasticSearch but was wondering if there's something equivalent to it in postgreSQL.
Here's sample code for elasticsearch: (both the fields, title and description, are index as type: text)
GET index_name/_search
{
"query": {
"bool": {
"must": [
{
"multi_match": {
fields: ["description", "title"],
query: "postgres",
fuzziness: 1
}
}
]
}
}
}
I've tried the same using pg_tram in postgreSQL, it worked for one field with similarity() (% operator) but I don't know how to extend this on multiple fields.
This is what I did in postgreSQL, not sure if it's good way though:
select * from table t
where similarity("title", "postgres") > 0.5;
select * from table t
where similarity("title", "postgres") > 0.5 OR similarity("description", "postgres") > 0.5;
Also is there any way to introduce fuzziness in ts_vector (FTS) query ?
Will appreciate any help/guidance in this context.
P.S: let me know if my description is missing something.
Thanks :)
%
. Written using the function call form, it will not use the index