Consultar locais dentro de um raio no MongoDB

• Etapa 1) Incorpore um ponto GeoJSON em seus documentos.
• Etapa 2) Indexe o caminho para os pontos, usando 2dsphere .
• Etapa 3) Consulte os pontos nos documentos usando $geoWithin e $centerSphere .

loc : {
    type : "Point",
    coordinates : [lng, lat]
}

// sample setup code.
// use test; 
// db.positions.drop();
// db.positions.insert({
    // pos : {
        // lat : 0,
        // lon : 30
    // }
// });
db.positions.find().forEach(function (doc) {
    var point = {
        _id : doc._id,
        loc : {
            type : "Point",
            coordinates : [doc.pos.lon, doc.pos.lat]
        }
    };
    db.positions.update(doc, point);
});
db.positions.find().pretty();

Exemplo

Configuração

var createLandmarkDoc = function (name, lng, lat) {
    return {
        name : name,
        loc : {
            type : "Point",
            coordinates : [lng, lat]
        }
    };
};
var addNewLandmark = function(name, lng, lat){
    db.landmarks.insert(createLandmarkDoc(name, lng, lat));
};

db.landmarks.drop();
// Step 1: Add points.
addNewLandmark("Washington DC", 38.8993487, -77.0145665);
addNewLandmark("White House", 38.9024593, -77.0388266);
addNewLandmark("Library of Congress", 38.888684, -77.0047189);
addNewLandmark("Patuxent Research Refuge", 39.0391718, -76.8216182);
addNewLandmark("The Pentagon", 38.871857, -77.056267);
addNewLandmark("Massachusetts Institute of Technology", 42.360091, -71.09416);

// Step 2: Create index
db.landmarks.ensureIndex({
    loc : "2dsphere"
});

Consulta:encontre pontos de referência em um raio de 8 km.

var milesToRadian = function(miles){
    var earthRadiusInMiles = 3959;
    return miles / earthRadiusInMiles;
};
var landmark = db.landmarks.findOne({name: "Washington DC"});
var query = {
    "loc" : {
        $geoWithin : {
            $centerSphere : [landmark.loc.coordinates, milesToRadian(5) ]
        }
    }
};
// Step 3: Query points.
db.landmarks.find(query).pretty();

Saída

{
        "_id" : ObjectId("540e70c96033ed0d2d9694fa"),
        "name" : "Washington DC",
        "loc" : {
                "type" : "Point",
                "coordinates" : [
                        38.8993487,
                        -77.0145665
                ]
        }
}
{
        "_id" : ObjectId("540e70c96033ed0d2d9694fc"),
        "name" : "Library of Congress",
        "loc" : {
                "type" : "Point",
                "coordinates" : [
                        38.888684,
                        -77.0047189
                ]
        }
}
{
        "_id" : ObjectId("540e70c96033ed0d2d9694fb"),
        "name" : "White House",
        "loc" : {
                "type" : "Point",
                "coordinates" : [
                        38.9024593,
                        -77.0388266
                ]
        }
}
{
        "_id" : ObjectId("540e70c96033ed0d2d9694fe"),
        "name" : "The Pentagon",
        "loc" : {
                "type" : "Point",
                "coordinates" : [
                        38.871857,
                        -77.056267
                ]
        }
}

• 2dsphere
• Índice 2dsphere
• $centerSphere
• Operadores de consulta geoespacial