Hey,

I am working on an e-shop which sells products only via loans. I display 10 products per page in any category, each product has 3 different price tags - 3 different loan types. Everything went pretty well during testing time, query execution time was perfect, but today when transfered the changes to the production server, the site "collapsed" in about 2 minutes. The query that is used to select loan types sometimes hangs for ~10 seconds and it happens frequently and thus it cant keep up and its hella slow. The table that is used to store the data has approximately 2 milion records and each select looks like this:

SELECT * 
FROM products_loans 
WHERE KOD IN("X17/Q30-10", "X17/12", "X17/5-24") 
AND 369.27 BETWEEN CENA_OD AND CENA_DO;

3 loan types and the price that needs to be in range between CENA_OD and CENA_DO, thus 3 rows are returned.

But since I need to display 10 products per page, I need to run it trough a modified select using OR, since I didnt find any other solution to this. I have asked about it here, but got no answer. As mentioned in the referencing post, this has to be done separately since there is no column that could be used in a join (except of course price and code, but that ended very, very badly). Here is the show create table, kod and CENA_OD/CENA_DO very indexed via INDEX.

CREATE TABLE `products_loans` (
  `KOEF_ID` bigint(20) NOT NULL,
  `KOD` varchar(30) NOT NULL,
  `AKONTACIA` int(11) NOT NULL,
  `POCET_SPLATOK` int(11) NOT NULL,
  `koeficient` decimal(10,2) NOT NULL default '0.00',
  `CENA_OD` decimal(10,2) default NULL,
  `CENA_DO` decimal(10,2) default NULL,
  `PREDAJNA_CENA` decimal(10,2) default NULL,
  `AKONTACIA_SUMA` decimal(10,2) default NULL,
  `TYP_VYHODY` varchar(4) default NULL,
  `stage` smallint(6) NOT NULL default '1',
 PRIMARY KEY  (`KOEF_ID`),
 KEY `CENA_OD` (`CENA_OD`),
 KEY `CENA_DO` (`CENA_DO`),
 KEY `KOD` (`KOD`),
 KEY `stage` (`stage`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8

And also selecting all loan types and later filtering them trough php doesnt work good, since each type has over 50k records and the select takes too much time as well...

Any ides about improving the speed are appreciated.