I have a MySQL table with indexed spatial data that looks like:
CREATE TABLE `mytable` (
`ID` bigint(20) NOT NULL AUTO_INCREMENT,
`TIME` datetime DEFAULT NULL,
`SPOT` point NOT NULL,
PRIMARY KEY (`ID`),
SPATIAL KEY `SPOT` (`SPOT`)
) ENGINE=MyISAM AUTO_INCREMENT=6473924464345089 DEFAULT CHARSET=utf8;
Rows are inserted like:
INSERT INTO mytable (time, spot) VALUES (now(), (GeomFromText('POINT(110.0 120.0)', 4326)));
I am doing a query to find the closest spots given a latlong
SELECT id, x(spot) as longitude, y(spot) as latitude
FROM mytable
ORDER BY st_distance(GeomFromText('POINT(10.0 12.0)', 4326), spot) LIMIT 5;
but it is doing a Full Table Scan though 'spot' is indexed.
I would appreciate any help optimizing it!
It doesn't help that Spot is indexed, MySQL still have to calculate each st_distance
from the point 10.0, 12.0
to be able to order it.
If you wan't to do searches like this fast you should add a where condition
to narrow the number of points that can might close enough, that could use the index.