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Optimization of MySQL's ORDER BY RAND() Function
Introduction
The use of the ORDER BY RAND() function in MySQL can result in slow query performance, particularly in poorly optimized tables. This article delves into efficient techniques for optimizing such queries and provides practical solutions to resolve this issue.
Optimization Techniques
One effective solution involves the use of a subquery combined with STRAIGHT_JOIN, as demonstrated below:
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 has proven particularly efficient for MyISAM tables due to the instantaneous nature of the COUNT(*) operation. For InnoDB tables, it remains significantly faster than ORDER BY RAND().
In cases where only a single random record is required, a different 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 method assumes a relatively even distribution of ac_id values.
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