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Updated mongoose
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100
node_modules/mongoose/examples/mapreduce/mapreduce.js
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node_modules/mongoose/examples/mapreduce/mapreduce.js
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// import async to make control flow simplier
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var async = require('async');
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// import the rest of the normal stuff
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var mongoose = require('../../lib');
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require('./person.js')();
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var Person = mongoose.model('Person');
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// define some dummy data
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var data = [
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{
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name: 'bill',
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age: 25,
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birthday: new Date().setFullYear((new Date().getFullYear() - 25)),
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gender : "Male"
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},
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{
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name: 'mary',
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age: 30,
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birthday: new Date().setFullYear((new Date().getFullYear() - 30)),
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gender: "Female"
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},
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{
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name: 'bob',
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age: 21,
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birthday : new Date().setFullYear((new Date().getFullYear() - 21)),
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gender: "Male"
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},
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{
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name: 'lilly',
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age: 26,
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birthday: new Date().setFullYear((new Date().getFullYear() - 26)),
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gender: "Female"
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},
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{
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name: 'alucard',
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age: 1000,
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birthday: new Date().setFullYear((new Date().getFullYear() - 1000)),
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gender : "Male"
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}
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];
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mongoose.connect('mongodb://localhost/persons', function(err) {
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if (err) throw err;
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// create all of the dummy people
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async.each(data, function(item, cb) {
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Person.create(item, cb);
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}, function(err) {
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if (err) {
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// handle error
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}
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// alright, simple map reduce example. We will find the total ages of each
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// gender
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// create the options object
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var o = {};
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o.map = function() {
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// in this function, 'this' refers to the current document being
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// processed. Return the (gender, age) tuple using
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/* global emit */
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emit(this.gender, this.age);
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};
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// the reduce function receives the array of ages that are grouped by the
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// id, which in this case is the gender
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o.reduce = function(id, ages) {
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return Array.sum(ages);
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};
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// other options that can be specified
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// o.query = { age : { $lt : 1000 }}; // the query object
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// o.limit = 3; // max number of documents
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// o.keeptemp = true; // default is false, specifies whether to keep temp data
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// o.finalize = someFunc; // function called after reduce
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// o.scope = {}; // the scope variable exposed to map/reduce/finalize
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// o.jsMode = true; // default is false, force execution to stay in JS
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o.verbose = true; // default is false, provide stats on the job
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// o.out = {}; // objects to specify where output goes, by default is
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// returned, but can also be stored in a new collection
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// see: http://mongoosejs.com/docs/api.html#model_Model.mapReduce
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Person.mapReduce(o, function(err, results, stats) {
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console.log("map reduce took %d ms", stats.processtime);
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console.log(results);
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cleanup();
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});
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});
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});
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function cleanup() {
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Person.remove(function() {
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mongoose.disconnect();
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});
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}
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14
node_modules/mongoose/examples/mapreduce/package.json
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node_modules/mongoose/examples/mapreduce/package.json
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{
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"name": "map-reduce-example",
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"private": "true",
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"version": "0.0.0",
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"description": "deps for map reduce example",
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"main": "mapreduce.js",
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"scripts": {
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"test": "echo \"Error: no test specified\" && exit 1"
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},
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"dependencies": { "async": "*" },
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"repository": "",
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"author": "",
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"license": "BSD"
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}
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16
node_modules/mongoose/examples/mapreduce/person.js
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node_modules/mongoose/examples/mapreduce/person.js
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// import the necessary modules
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var mongoose = require('../../lib');
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var Schema = mongoose.Schema;
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// create an export function to encapsulate the model creation
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module.exports = function() {
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// define schema
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var PersonSchema = new Schema({
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name : String,
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age : Number,
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birthday : Date,
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gender: String
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});
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mongoose.model('Person', PersonSchema);
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};
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