Calculate Latitude/Longitude Distances in MySQL with the Haversine Function

Re:Calculate Latitude/Longitude Distances in MySQL with the ... by zachster on Thursday October 28, 2010 @01:45AM (#1841905)

Thanks for the pointer! This looks interesting. The edge conditions seem like they might pose a problem. I'll have to check out how often it would occur. Maybe the geospatial indexes are a better bet. It looks like MongoDB supports them also. Good excuse to try that out.

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Re:Calculate Latitude/Longitude Distances in MySQL with the ... by bravo_sierra on Thursday October 28, 2010 @02:08AM (#1841950)

The edge cases happen all the time.

Using a B-Tree on a Geohash (like MongoDB does) is a bit more efficient that just indexing min/max values, but not by much. MySQL, PostgreSQL and even SQLite have R-Tree indices that perform 10x better.

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Re:Calculate Latitude/Longitude Distances in MySQL with the ... by nl on Thursday October 28, 2010 @01:53AM (#1841922)

If you are prepared to introduce new technology specifically to solve this problem, then you should take a look at LocalLucene, too: http://www.gissearch.com/locallucene

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Re:Calculate Latitude/Longitude Distances in MySQL with the ... by thibaut_barrere on Thursday October 28, 2010 @04:47AM (#1842227)

I've been using either MySQL with Sphinx or MongoDB with the built-in geonear successfully.

If you're already using MongoDB, it's really dead-easy to setup (see the docs).

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