CODEWITHSUNDEEP
mysql
Codecraft
Codecraft

Reputation: 8296

A custom MySQL function to calculate the Haversine distance?

I'm building a 'find my nearest' script whereby my client has provided me with a list of their locations. After some research, I determined that the way to do this was to geocode the address/postcode given by the user, and use the Haversine formula to calculate the distance.

Formula wise, I got the answer I was looking for from this question (kudos to you guys). So I won't repeat the lengthy query/formula here.

What i'd like to have been able to do though, as an example - is something like:

SELECT address, haversine(@myLat,@myLong,db_lat,db_long,'MILES') .....

This would be just easier to remember, easier to read later, and more re-usable by copying the function into future projects without having to relearn / re-integrate the big formula. Additionally, the last argument could help with being able to return distances in different units.

Is it possible to create a user MySQL function / procedure to do this, and how would I go about it? (I assume this is what they are for, but i've never needed to use them!)

Would it offer any speed difference (either way) over the long version?

Upvotes: 1

Views: 1503

Answers (1)

ypercubeᵀᴹ
ypercubeᵀᴹ

Reputation: 115660

Yes, you can create a stored function for this purpose. Something like this:

DELIMITER //
  DROP FUNCTION IF EXISTS Haversine //
  CREATE FUNCTION Haversine
    ( myLat FLOAT
    , myLong FLOAT
    , db_lat FLOAT
    , db_long FLOAT
    , unit VARCHAR(20)
    )
    RETURNS FLOAT
      DETERMINISTIC
    BEGIN
      DECLARE haver FLOAT ;

      IF unit = 'MILES'                    --- calculations
        SET haver = ...                --- calculations

      RETURN haver ;
    END  //
DELIMITER ;

I don't think it offers any speed gains but it's good for all the other reasons you mention: Readability, reusability, ease of maintenance (imagine you find an error after 2 years and you have to edit the code in a (few) hundred places).

Upvotes: 3

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