// 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' }, { name: 'mary', age: 30, birthday: new Date().setFullYear((new Date().getFullYear() - 30)), gender: 'Female' }, { name: 'bob', age: 21, birthday: new Date().setFullYear((new Date().getFullYear() - 21)), gender: 'Male' }, { name: 'lilly', age: 26, birthday: new Date().setFullYear((new Date().getFullYear() - 26)), gender: 'Female' }, { name: 'alucard', age: 1000, birthday: new Date().setFullYear((new Date().getFullYear() - 1000)), gender: 'Male' } ]; 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) { // handle error } // alright, simple map reduce example. We will find the total ages of each // gender // create the options object var o = {}; o.map = function() { // in this function, 'this' refers to the current document being // processed. Return the (gender, age) tuple using /* global emit */ emit(this.gender, this.age); }; // the reduce function receives the array of ages that are grouped by the // id, which in this case is the gender o.reduce = function(id, ages) { return Array.sum(ages); }; // other options that can be specified // o.query = { age : { $lt : 1000 }}; // the query object // o.limit = 3; // max number of documents // o.keeptemp = true; // default is false, specifies whether to keep temp data // o.finalize = someFunc; // function called after reduce // o.scope = {}; // the scope variable exposed to map/reduce/finalize // o.jsMode = true; // default is false, force execution to stay in JS o.verbose = true; // default is false, provide stats on the job // o.out = {}; // objects to specify where output goes, by default is // returned, but can also be stored in a new collection // see: http://mongoosejs.com/docs/api.html#model_Model.mapReduce Person.mapReduce(o, function(err, results, stats) { console.log('map reduce took %d ms', stats.processtime); console.log(results); cleanup(); }); }); }); function cleanup() { Person.remove(function() { mongoose.disconnect(); }); }