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Optimizing MySQL's ORDER BY RAND() Performance
When optimizing MySQL queries, addressing slow queries containing the ORDER BY RAND() function can be challenging. This article explores effective solutions to enhance the performance of such queries.
A common approach is to use a subquery that calculates the rank of each row based on a random value. This allows for efficient selection of random rows without requiring actual sorting.
SELECT * FROM ( SELECT @cnt := COUNT(*) + 1, @lim := 10 FROM t_random ) vars STRAIGHT_JOIN ( SELECT r.*, @lim := @lim - 1 FROM t_random r WHERE (@cnt := @cnt - 1) AND RAND(20090301) < @lim / @cnt ) i
This method is particularly efficient for MyISAM tables, but offers significant performance improvements in InnoDB as well.
For selecting a single random record, an alternative approach can be used:
SELECT aco.* FROM ( SELECT minid + FLOOR((maxid - minid) * RAND()) AS randid FROM ( SELECT MAX(ac_id) AS maxid, MIN(ac_id) AS minid FROM accomodation ) q ) q2 JOIN accomodation aco ON aco.ac_id = COALESCE ( ( SELECT accomodation.ac_id FROM accomodation WHERE ac_id > randid AND ac_status != 'draft' AND ac_images != 'b:0;' AND NOT EXISTS ( SELECT NULL FROM accomodation_category WHERE acat_id = ac_category AND acat_slug = 'vendeglatohely' ) ORDER BY ac_id LIMIT 1 ), ( SELECT accomodation.ac_id FROM accomodation WHERE ac_status != 'draft' AND ac_images != 'b:0;' AND NOT EXISTS ( SELECT NULL FROM accomodation_category WHERE acat_id = ac_category AND acat_slug = 'vendeglatohely' ) ORDER BY ac_id LIMIT 1 ) )
This approach assumes a relatively even distribution of ac_id values. By utilizing these techniques, you can significantly optimize MySQL queries involving ORDER BY RAND().
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