I have a table that stores a pupil_id, a category and an effective date (amongst other things). The dates can be past, present or future. I need a query that will extract a pupil's current status from the table.
The following query works:
SELECT *
FROM pupil_status
WHERE (status_pupil_id, status_date) IN (
SELECT status_pupil_id, MAX(status_date)
FROM pupil_status
WHERE status_date < NOW() -- to ensure we ignore the "future status"
GROUP BY status_pupil_id );
In MySQL, the table is defined as follows:
CREATE TABLE IF NOT EXISTS `pupil_status` (
`status_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`status_pupil_id` int(10) unsigned NOT NULL, -- a foreign key
`status_category_id` int(10) unsigned NOT NULL, -- a foreign key
`status_date` datetime NOT NULL, -- effective date/time of status change
`status_modify` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`status_staff_id` int(10) unsigned NOT NULL, -- a foreign key
`status_notes` text NOT NULL, -- notes detailing the reason for status change
PRIMARY KEY (`status_id`),
KEY `status_pupil_id` (`status_pupil_id`,`status_category_id`),
KEY `status_pupil_id_2` (`status_pupil_id`,`status_date`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=1409 ;
However, with 950 pupils and just over 1400 statuses in the table, the query takes 0.185 seconds to process. Perhaps acceptable now, but when the table swells, I'm worried about scalability. It is likely that the production system will have over 10000 pupils and each will have 15-20 statuses each.
Is there a better way to write this query? Are there better indexes that I should have to assist the query? Please let me know.