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Editorial Team
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Editorial Team
Asked: May 22, 20262026-05-22T19:42:31+00:00 2026-05-22T19:42:31+00:00

I have a large DB having > 20,000 rows. I have two tables songs

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I have a large DB having > 20,000 rows. I have two tables songs and albums:

table songs contains songid, albumid, songname and table albums contains albumid, albumname

Currently when user searches for a song I give results instantly as soon as he starts typing. Just like Google Instant.

What I am using is: Everytime user types I send that query string to my backend php file and there I execute that query in my DB like this:

SELECT * FROM songs, albums WHERE songs.albumid = albums.albumid AND songs.songname LIKE '%{$query_string}%';

But it’s very inefficient to use DB queries everytime and also it’s not scalable as my DB is growing everyday.

Therefore I want the same feature but faster and efficient and scalable.

Also, I dont want it to be exact pattern matching, for example:

Suppose, if user types “Rihana” instead of “Rihanna” then it should be able to give the results related to Rihanna.

Thanks.

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  1. Editorial Team
    Editorial Team
    2026-05-22T19:42:32+00:00Added an answer on May 22, 2026 at 7:42 pm

    First of all you should find MySQL’s FULLTEXT search support far faster than your current approach.

    I suspect with the kind of speed you’d like from this solution and the support for searching for mis-spelled words that you’d be better off investigating some kind of more featured full text search engine. These include:

    • Sphinx Search
    • Solr
    • ElasticSearch
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