Hi guys, hoping you can help me on the right track to start optimising my queries. I've never thought too much about optimisation before, but I have a few queries similar to the one below and want to start concentrating on improving their efficiency. An example of a query which I badly need to optimise is as follows:
SELECT COUNT(*) AS `records_found`
FROM (`records_owners` AS `ro`, `records` AS `r`)
WHERE r.reg_no = ro.contact_no
AND `contacted_email` <> "0000-00-00"
AND `contacted_post` <> "0000-00-00"
AND `ro`.`import_date` BETWEEN "2010-01-01" AND "2010-07-11" AND `r`.`pa_date_of_birth` > "2010-01-01" AND EXISTS ( SELECT `number` FROM `roles` WHERE `roles`.`number` = r.`reg_no` )
Running EXPLAIN on the above produces the following:
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------------+-------+--------+---------------+---------+---------+---------------------------------------+-------+-------------+
| 1 | PRIMARY | r | ALL | NULL | NULL | NULL | NULL | 21533 | Using where |
| 1 | PRIMARY | ro | eq_ref | PRIMARY | PRIMARY | 4 | r.reg_no | 1 | Using where |
| 2 | DEPENDENT SUBQUERY | roles | ALL | NULL | NULL | NULL | NULL | 189 | Using where |