Geospatial Search

You can query against geospatial indexes in several ways via the Node.js driver, using geospatial query operators.

To create a 2dsphere index on a collection, pass a document containing the name of the field to be indexed with the value ‘2dsphere’ to the createIndex() method.

function create2dSphereIndex(db, callback) {
 // Get the restaurants collection
 const collection = db.collection('restaurants');
 // Create the index
 collection.createIndex(
 { 'address.coord' : "2dsphere" }, function(err, result) {
 console.log(result);
 callback(result);
 });
};
const MongoClient = require('mongodb').MongoClient;
const assert = require('assert');
// Connection URL
const url = 'mongodb://localhost:27017';
// Database Name
const dbName = 'myproject';
// Use connect method to connect to the Server
MongoClient.connect(url, function(err, client) {
 assert.equal(null, err);
 console.log("Connected correctly to server");
 const db = client.db(dbName);
 create2dSphereIndex(db, function() {
 client.close();
 });
});

The following examples assume that a database called test has a collection called restaurants, with a 2d sphere index index on the address.coord field. A sample dataset is available for download.

$near

The $near operator specifies a set of longitude-latitude coordinates and returns documents from nearest to farthest.

function findDocuments(db, callback) {
 // Get the documents collection
 const collection = db.collection('restaurants');
 // Find some documents
 collection.find(
	{ 'address.coord':
	 { $near :
	 { $geometry:
	 { type: "Point", coordinates: [ -73.9667, 40.78 ] },
	 $maxDistance: 1000
	 }
	 }
	}
 ).toArray(function(err, docs) {
 assert.equal(err, null);
 console.log("Found the following records");
 console.log(docs);
 callback(docs);
 }); 
}
// use the findDocuments() function
const MongoClient = require('mongodb').MongoClient;
const assert = require('assert');
// Connection URL
const url = 'mongodb://localhost:27017';
// Database Name
const dbName = 'myproject';
// Use connect method to connect to the Server
MongoClient.connect(url, function(err, client) {
 assert.equal(null, err);
 console.log("Connected correctly to server");
 const db = client.db(dbName);
 findDocuments(db, function() {
 client.close();
 });
});

The $maxDistance option specifies a maximum distance (in meters) from the given coordinates. For a complete list of $near options, see the MongoDB manual.

$geoWithin

The $geoWithin operator selects documents with geospatial data that exist within a specified shape.

function findDocuments(db, callback) {
 // Get the documents collection
 const collection = db.collection('restaurants');
 // Find some documents
 collection.find(
 { 'address.coord':
 { $geoWithin:
 	 { $geometry:
 	 { type : "Polygon" ,
 coordinates: [ [ [ -73, 40 ], [ -74, 41 ], [ -72, 39 ], [ -73, 40 ] ] ]
 }
 }
 }
 }
 ).toArray(function(err, docs) {
 assert.equal(err, null);
 console.log("Found the following records");
 console.log(docs);
 callback(docs);
 }); 
}
// use the findDocuments() function
const MongoClient = require('mongodb').MongoClient;
const assert = require('assert');
// Connection URL
const url = 'mongodb://localhost:27017';
// Database Name
const dbName = 'myproject';
// Use connect method to connect to the Server
MongoClient.connect(url, function(err, client) {
 assert.equal(null, err);
 console.log("Connected correctly to server");
 const db = client.db(dbName);
 findDocuments(db, function() {
 client.close();
 });
});