MYSQL Value Difference optimization

Hallo guys,

I'm running a very large database (ATM like >5 Million datasets). My database stores custom generated numbers (which and how they compose doesn't really matters here) and the corresponding date to this one. In addition there is a ID stored for every product (means one product can have multiple entries for different dates in my database -> primary key is divided). Now I want to SELECT those top 10 ID's which got the largest difference in theire numbers in the last two days. Currently I tried to achieve this using J开发者_如何转开发OINS but since I got that much datasets this way is far to slow. How could I speed up the whole operation?

SELECT 
  d1.place,d2.place,d1.ID 
FROM 
  daily 
INNER JOIN 
  daily AS d1 ON d1.date = CURDATE() 
INNER JOIN 
  daily as d2 ON d2.date = DATE_ADD(CURDATE(), INTERVAL -1 DAY) 
ORDER BY 
  d2.code-d1.code LIMIT 10

EDIT: Thats how my structure looks like

CREATE TABLE IF NOT EXISTS `daily` (
 `ID` bigint(40) NOT NULL,
 `source` char(20) NOT NULL,
 `date` date NOT NULL,
 `code` int(11) NOT NULL,
 `cc` char(2) NOT NULL,
 PRIMARY KEY (`ID`,`source`,`date`,`cc`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;

Thats the output of the Explain Statement

    id  select_type table   type    possible_keys   key key_len ref rows    Extra
1   SIMPLE  d1  ALL PRIMARY NULL    NULL    NULL    5150350 Using where; Using temporary; Using filesort
1   SIMPLE  d2  ref PRIMARY PRIMARY 8   mytable.d1.ID   52  Using where

How about this?

SELECT
  d1.ID, d1.place, d2.place
FROM
  daily AS d1
CROSS JOIN
  daily AS d2
USING (ID)
WHERE
  d1.date = CURDATE()
  AND d2.date = CURDATE() - INTERVAL 1 DAY
ORDER BY
  d2.code - d1.code DESC
LIMIT
  10

Some thoughts about your table structure.

`ID` bigint(40) NOT NULL,

Why BIGINT? You would need to be doing 136 inserts/s 24h a day, 7 days a week for a year to exhaust the range of INT. And before you get halfway there, your application will probably need a professional DBA anyway. Remember, Smaller primary index leads to fater lookups - which brings us to:

PRIMARY KEY (`ID`,`source`,`date`,`cc`)

Why? A single column PK on ID column should be enough. If you need indexes on other columns, create additional indexes (and to it wisely). As it is, you basically have a covering index for entire table... which is like having entire table in the index.

Last but not least: where is place column? You've used it in your query (and then I in mine), but it's nowhere to be seen?

Proposed table structure:

CREATE TABLE IF NOT EXISTS `daily` (
 `ID` int(10) UNSIGNED NOT NULL,  --usually AUTO_INCREMENT is used as well,
 `source` char(20) NOT NULL,
 `date` date NOT NULL,
 `code` int(11) NOT NULL,
 `cc` char(2) NOT NULL,
 PRIMARY KEY (`ID`),
 KEY `ID_date` (`ID`,`date`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;