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    <p>You can't add that sort of grouping constraint to your query (at least, with MongoDB 2.0.x) so you would have to iterate the results in your app code to pull out what you need.</p> <p>Have created an example below assuming that:</p> <ul> <li>it would be useful to keep track of the number of matches for a given name </li> <li>you only want to include details of the nearest match for a given name</li> <li>MongoDB <a href="http://www.mongodb.org/display/DOCS/Geospatial+Indexing/#GeospatialIndexing-geoNearCommand" rel="nofollow">geoNear()</a> sorts by distance so the first match should be the nearest</li> </ul> <p>This is using the JS shell:</p> <pre><code>// Hash to save results &gt; var cars = {} // Find closest cars to given geo point using geoNear &gt; db.runCommand( { geoNear: 'car', near : [50.93939251390,-114], num:5} ).results.forEach( function(doc) { if (cars[doc.obj.name]) { // Increment number of matches for this name cars[doc.obj.name]['matches'] = cars[doc.obj.name]['matches'] + 1; } else { // Closest match found doc.obj['matches'] = 1; doc.obj['distance'] = doc.dis; cars[doc.obj.name] = doc.obj; } } ) // Check the results &gt; cars { "Skoda" : { "_id" : ObjectId("501d108c9d2b5b2b5443712d"), "name" : "Skoda", "affiliation" : "Skoda", "loc" : { "lon" : 50.93939251390387, "lat" : -113.999 }, "matches" : 2, "distance" : 0.0010000000000047748 }, "Skoda SUV" : { "_id" : ObjectId("501d108c9d2b5b2b5443712f"), "name" : "Skoda SUV", "affiliation" : "Skoda", "loc" : { "lon" : 50.93939251390387, "lat" : -113.999 }, "matches" : 1, "distance" : 0.0010000000000047748 }, "Benz" : { "_id" : ObjectId("501d108c9d2b5b2b5443712e"), "name" : "Benz", "affiliation" : "Skoda", "loc" : { "lon" : 51.93939251390387, "lat" : -113.999 }, "matches" : 1, "distance" : 1.0000005000037404 }, "Ford" : { "_id" : ObjectId("501d108c9d2b5b2b5443712a"), "name" : "Ford", "affiliation" : "Ford", "loc" : { "lon" : 45.93939251390387, "lat" : -113.999 }, "matches" : 1, "distance" : 5.000000099996134 } } </code></pre> <p>A common approach for this sort of search result would be to display all matches found in a list and also plot them on a map. Ideally your map view would support some sort of <a href="http://code.google.com/p/google-maps-utility-library-v3/wiki/Libraries#MarkerClusterer" rel="nofollow">Marker Clustering</a> to automatically group markers based on the user's selected zoom level.</p>
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    1. POGet unique GEO data from MongoDB
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    1. COAwesome !! Thanks much. It works... So I want to show the closest location first hence I did element shuffling in the loop. Is that correct ? Or any other straight forward mechanism avaliable.
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    2. CO@Siva: as mentioned in my assumptions, if you have a query which returns the results sorted by distance then the first result for a given name should also be the closest. I updated the example to use `geoNear` rather than a `$within` so the distance can be explicitly checked/included.
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    3. COThanks Stennie !! But in geoNear we can not use Radius right? I want to list the closest data from the given Geo with radius. Please advice.
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