Updated mongoose

node_modules/mongoose/examples/geospatial/geoJSONSchema.js

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+
+// import the necessary modules
+var mongoose = require('../../lib');
+var Schema = mongoose.Schema;
+
+// create an export function to encapsulate the model creation
+module.exports = function() {
+  // define schema
+  // NOTE : This object must conform *precisely* to the geoJSON specification
+  // you cannot embed a geoJSON doc inside a model or anything like that- IT
+  // MUST BE VANILLA
+  var LocationObject = new Schema({
+    loc: {
+      type: { type: String },
+      coordinates: []
+    }
+  });
+  // define the index
+  LocationObject.index({ loc : '2dsphere' });
+
+  mongoose.model('Location', LocationObject);
+};

node_modules/mongoose/examples/geospatial/geoJSONexample.js

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+
+// import async to make control flow simplier
+var async = require('async');
+
+// import the rest of the normal stuff
+var mongoose = require('../../lib');
+
+require('./geoJSONSchema.js')();
+
+var Location = mongoose.model('Location');
+
+// define some dummy data
+// note: the type can be Point, LineString, or Polygon
+var data = [
+  { loc: { type: 'Point', coordinates: [-20.0, 5.0] }},
+  { loc: { type: 'Point', coordinates: [6.0, 10.0] }},
+  { loc: { type: 'Point', coordinates: [34.0, -50.0] }},
+  { loc: { type: 'Point', coordinates: [-100.0, 70.0] }},
+  { loc: { type: 'Point', coordinates: [38.0, 38.0] }}
+];
+
+
+mongoose.connect('mongodb://localhost/locations', function(err) {
+  if (err) throw err;
+
+  Location.on('index', function(err) {
+    if (err) throw err;
+    // create all of the dummy locations
+    async.each(data, function(item, cb) {
+      Location.create(item, cb);
+    }, function(err) {
+      if (err) throw err;
+      // create the location we want to search for
+      var coords = { type : 'Point', coordinates : [-5, 5] };
+      // search for it
+      Location.find({ loc : { $near : coords }}).limit(1).exec(function(err, res) {
+        if (err) throw err;
+        console.log("Closest to %s is %s", JSON.stringify(coords), res);
+        cleanup();
+      });
+    });
+  });
+});
+
+function cleanup() {
+  Location.remove(function() {
+    mongoose.disconnect();
+  });
+}

node_modules/mongoose/examples/geospatial/geospatial.js

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+
+// import async to make control flow simplier
+var async = require('async');
+
+// import the rest of the normal stuff
+var mongoose = require('../../lib');
+
+require('./person.js')();
+
+var Person = mongoose.model('Person');
+
+// define some dummy data
+var data = [
+    {
+      name: 'bill',
+      age: 25,
+      birthday: new Date().setFullYear((new Date().getFullYear() - 25)),
+      gender: "Male",
+      likes: ['movies', 'games', 'dogs'],
+      loc: [0, 0]
+    },
+    {
+      name: 'mary',
+      age: 30,
+      birthday: new Date().setFullYear((new Date().getFullYear() - 30)),
+      gender: "Female",
+      likes: ['movies', 'birds', 'cats'],
+      loc: [1, 1]
+    },
+    {
+      name: 'bob',
+      age: 21,
+      birthday: new Date().setFullYear((new Date().getFullYear() - 21)),
+      gender: "Male",
+      likes: ['tv', 'games', 'rabbits'],
+      loc: [3, 3]
+    },
+    {
+      name: 'lilly',
+      age: 26,
+      birthday: new Date().setFullYear((new Date().getFullYear() - 26)),
+      gender: "Female",
+      likes: ['books', 'cats', 'dogs'],
+      loc: [6, 6]
+    },
+    {
+      name: 'alucard',
+      age: 1000,
+      birthday: new Date().setFullYear((new Date().getFullYear() - 1000)),
+      gender: "Male",
+      likes: ['glasses', 'wine', 'the night'],
+      loc: [10, 10]
+    }
+];
+
+
+mongoose.connect('mongodb://localhost/persons', function(err) {
+  if (err) throw err;
+
+  // create all of the dummy people
+  async.each(data, function(item, cb) {
+    Person.create(item, cb);
+  }, function(err) {
+    if (err) {
+      // handler error
+    }
+
+    // let's find the closest person to bob
+    Person.find({ name : 'bob' }, function(err, res) {
+      if (err) throw err;
+
+      res[0].findClosest(function(err, closest) {
+        if (err) throw err;
+
+        console.log("%s is closest to %s", res[0].name, closest);
+
+
+        // we can also just query straight off of the model. For more
+        // information about geospatial queries and indexes, see
+        // http://docs.mongodb.org/manual/applications/geospatial-indexes/
+        var coords = [7,7];
+        Person.find({ loc : { $nearSphere : coords }}).limit(1).exec(function(err, res) {
+          console.log("Closest to %s is %s", coords, res);
+          cleanup();
+        });
+      });
+    });
+  });
+});
+
+function cleanup() {
+  Person.remove(function() {
+    mongoose.disconnect();
+  });
+}

node_modules/mongoose/examples/geospatial/package.json

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+{
+  "name": "geospatial-example",
+  "private": "true",
+  "version": "0.0.0",
+  "description": "deps for geospatial example",
+  "main": "geospatial.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "dependencies": { "async": "*" },
+  "repository": "",
+  "author": "",
+  "license": "BSD"
+}

node_modules/mongoose/examples/geospatial/person.js

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+
+// import the necessary modules
+var mongoose = require('../../lib');
+var Schema = mongoose.Schema;
+
+// create an export function to encapsulate the model creation
+module.exports = function() {
+  // define schema
+  var PersonSchema = new Schema({
+    name : String,
+    age : Number,
+    birthday : Date,
+    gender: String,
+    likes: [String],
+    // define the geospatial field
+    loc: { type : [Number], index: '2d' }
+  });
+
+  // define a method to find the closest person
+  PersonSchema.methods.findClosest = function(cb) {
+    return this.model('Person').find({
+      loc : { $nearSphere : this.loc },
+      name : { $ne : this.name }
+    }).limit(1).exec(cb);
+  };
+
+  mongoose.model('Person', PersonSchema);
+};