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Fast nearest-location finder for SQL (MySQL, PostgreSQL, SQL Server)
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SELECT zip, primary_city, | |
latitude, longitude, distance | |
FROM ( | |
SELECT z.zip, | |
z.primary_city, | |
z.latitude, z.longitude, | |
p.radius, | |
p.distance_unit | |
* DEGREES(ACOS(LEAST(1.0, COS(RADIANS(p.latpoint)) | |
* COS(RADIANS(z.latitude)) | |
* COS(RADIANS(p.longpoint - z.longitude)) | |
+ SIN(RADIANS(p.latpoint)) | |
* SIN(RADIANS(z.latitude))))) AS distance | |
FROM zip AS z | |
JOIN ( /* these are the query parameters */ | |
SELECT 42.81 AS latpoint, -70.81 AS longpoint, | |
50.0 AS radius, 111.045 AS distance_unit | |
) AS p ON 1=1 | |
WHERE z.latitude | |
BETWEEN p.latpoint - (p.radius / p.distance_unit) | |
AND p.latpoint + (p.radius / p.distance_unit) | |
AND z.longitude | |
BETWEEN p.longpoint - (p.radius / (p.distance_unit * COS(RADIANS(p.latpoint)))) | |
AND p.longpoint + (p.radius / (p.distance_unit * COS(RADIANS(p.latpoint)))) | |
) AS d | |
WHERE distance <= radius | |
ORDER BY distance | |
LIMIT 15 |
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SELECT z.zip, | |
z.primary_city, | |
z.latitude, z.longitude, | |
p.distance_unit | |
* DEGREES(ACOS(LEAST(1.0, COS(RADIANS(p.latpoint)) | |
* COS(RADIANS(z.latitude)) | |
* COS(RADIANS(p.longpoint) - RADIANS(z.longitude)) | |
+ SIN(RADIANS(p.latpoint)) | |
* SIN(RADIANS(z.latitude))))) AS distance_in_km | |
FROM zip AS z | |
JOIN ( /* these are the query parameters */ | |
SELECT 42.81 AS latpoint, -70.81 AS longpoint, | |
50.0 AS radius, 111.045 AS distance_unit | |
) AS p ON 1=1 | |
WHERE z.latitude | |
BETWEEN p.latpoint - (p.radius / p.distance_unit) | |
AND p.latpoint + (p.radius / p.distance_unit) | |
AND z.longitude | |
BETWEEN p.longpoint - (p.radius / (p.distance_unit * COS(RADIANS(p.latpoint)))) | |
AND p.longpoint + (p.radius / (p.distance_unit * COS(RADIANS(p.latpoint)))) | |
ORDER BY distance_in_km | |
LIMIT 15 |
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@LostInDarkMath in my case I had to use
HAVING
to take advantage of the indices.