|
|
// 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(); }); }
|