Discover the Closest Database Pointers on Google Maps Based on My Current Location

Currently, I am in the process of creating a feature where users can enter their postcode or address information and be presented with markers that are nearby.

All of my markers are stored in a database. Initially, I planned to retrieve results from MySQL within a specified range.

For example, if my latitude/longitude is 1.500 by 2.100, the database would return rows that have latitudes between 1.450 and 1.550 and longitudes between 2.050 and 2.150.

While this method would suffice, I'm curious to know if there is an existing solution within the Google Maps API that can accomplish this task more efficiently than my current approach?

Answer №1

I recently worked on a project that involved utilizing GeoLocation to display current location and markers on Google Maps. Although it's not fully complete, I have shared the code on GitHub. Feel free to check it out and hopefully it will be helpful for your own project!

https://github.com/RichBuff/TexasHistoricalMarkers

Answer №2

Currently, this is the method I am using until I come across a more efficient solution. It's possible that as more rows are added, performance might start to decline.

Utilizing PHP/SQL

public function getMapNodes($lat, $long) {
    $SQL = 'SELECT users.id AS usersId, screenName, lat, lng,
            COALESCE(flagSrc, 0) AS flag, src
            FROM users_locations, users
            LEFT JOIN users_prefs ON users_prefs.userId = users.id
            LEFT JOIN users_images ON users_images.userId = users.id
                LEFT JOIN languages ON users_prefs.languageId = languages.id
            WHERE users.id = users_locations.userId
            AND (? < (lat+0.2) AND ? > (lat-0.2))
            AND (? < (lng+0.3) AND ? > (lng-0.3))';
    $r = $this->db->prepare($SQL);
    $r->execute(array($lat, $lat, $long, $long));
    return $r->fetchAll();
}

If there is a noticeable decrease in performance, implementing Memcache could be a beneficial solution.

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