How to make mysql queries with where condition run faster on large tables

Question

I am using the 2 queries below on a mysql dB table which has about 10 million rows. The first count one is quite fast. The second is quite slow (maybe 10 times slower).

SELECT count(*) as count
from $table
WHERE SUBSTRING_INDEX(location, '>', 3) LIKE '%$mylocation%'
... show count


SELECT name, location, hotel, rating     
FROM $table
WHERE SUBSTRING_INDEX(location, '>', 3) LIKE '%$mylocation%'    
...loop to show results

location column has values like - Spain>Canary Islands>Lanzarote>Some Resort

Index set on 'location' column - Table is MyISAM

Does anyone have any ideas on how I can speed up the second query. I understand they both work a bit differently.

Answer 1

Tip: To avoid using something like SELECT count(*) as count Which takes a lot of resource from your server. Recommendation: Store the values into a Database column, everytime you insert something into your database

from $table

Store them in another database table and call it "Sums" , everything something is inserted into $table , Update the value of "Sums" Table to a higher number.