mirror of
https://github.com/atlanticbiomedical/biomedjs.git
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102 lines
2.9 KiB
JavaScript
102 lines
2.9 KiB
JavaScript
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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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likes: ['movies', 'games', 'dogs']
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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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likes: ['movies', 'birds', 'cats']
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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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likes: ['tv', 'games', 'rabbits']
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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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likes: ['books', 'cats', 'dogs']
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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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likes : ['glasses', 'wine', 'the night']
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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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// run an aggregate query that will get all of the people who like a given
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// item. To see the full documentation on ways to use the aggregate
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// framework, see http://docs.mongodb.org/manual/core/aggregation/
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Person.aggregate(
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// select the fields we want to deal with
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{ $project : { name : 1, likes : 1 } },
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// unwind 'likes', which will create a document for each like
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{ $unwind : "$likes" },
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// group everything by the like and then add each name with that like to
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// the set for the like
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{ $group : {
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_id : { likes : "$likes" },
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likers : { $addToSet : "$name" }
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} },
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function(err, result) {
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if (err) throw err;
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console.log(result);
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//[ { _id: { likes: 'the night' }, likers: [ 'alucard' ] },
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//{ _id: { likes: 'wine' }, likers: [ 'alucard' ] },
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//{ _id: { likes: 'books' }, likers: [ 'lilly' ] },
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//{ _id: { likes: 'glasses' }, likers: [ 'alucard' ] },
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//{ _id: { likes: 'birds' }, likers: [ 'mary' ] },
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//{ _id: { likes: 'rabbits' }, likers: [ 'bob' ] },
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//{ _id: { likes: 'cats' }, likers: [ 'lilly', 'mary' ] },
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//{ _id: { likes: 'dogs' }, likers: [ 'lilly', 'bill' ] },
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//{ _id: { likes: 'tv' }, likers: [ 'bob' ] },
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//{ _id: { likes: 'games' }, likers: [ 'bob', 'bill' ] },
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//{ _id: { likes: 'movies' }, likers: [ 'mary', 'bill' ] } ]
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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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