Let's say I have a User and Group model, groups have users, like
var GroupSchema = mongoose.Schema({
name: String,
users: [{ type: mongoose.Schema.ObjectId, ref: 'User' }]
});
How would I query to get all the Users but exclude the ones that are on
Group.users, I'm already doing this by querying first Group then manually filtering against all users
var groupP = Group.findById(group_id).populate('users');
var userP = User.find();
Promise.props({
group: groupPromise.exec(),
users: usersPromise.exec()
})
.then(function (result) {
//this gives the expected result but I'm looking for a more straight forward mongoose only solution if possible
var users = differenceWith(result.users, result.group.users, (a, b) => { return a._id.toString() == b._id.toString()});
})
You can try below query.
var groupP = Group.findById(group_id);
var userP = User.find({_id:{$nin:groupP.users}});
Related
Given a situation where you have a User Scheme that you use to create a base model called User. And then for user roles, you use mongoose discriminators to create inherited models called Admin, Employee and Client. Is there a way to programmatically determine how many discriminations/inheritances/roles of the User model are available, as well as the available names?
My question in terms of code:
File: models/user.js
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var options = {discriminatorKey: 'role'};
var userSchema = mongoose.Schema({
name: String,
email: String,
password: String,
},options);
var User = mongoose.model('User', userSchema);
var Client = User.discriminator("Client", mongoose.Schema({
Address : String,
Tax_identification : String,
Phone_number : String,
Internal_Remarks : String,
CRM_status : String,
Recent_contact : String,
}));
var Employee = User.discriminator("Employee",mongoose.Schema({
Staff_Id: String,
}));
module.exports = {User: User, Client: Client, Employee: Employee };
File: controllers/usersController.js
var User = require('../models/user.js').User;
module.exports = {
registerRoutes: function(app){
app.get('user/create',this.userCreateCallback)
},
userCreateCallback: function(req,res){
//Get Available User Roles - The function below doesn't exist,
//Just what I hypothetically want to achieve:
User.geAvailableDiscriminators(function(err,roles){
res.render('user/create',{roles:roles})
});
}
};
I hope I managed to express what I want to do. Alternative approaches are also welcome.
Since v4.11.13, mongoose model has model.discriminators which is an array of models, keyed on the name of the discriminator model.
In your case if you do console.log(User.discriminators) you will get:
{
Client: {
....
},
Employee: {
}
}
As far as I can see, this is not documented anywhere.
Line 158 in lib.helpers.model.discriminators.js is where this is created.
I think you want to fetch the names and values of all the discriminators as for the names you can simply use
User.discriminators
but for finding values you can use this
return Promise.all(Object.keys(discriminators).map(i =>
discriminators[i].find({ userId: this._id }))
).then(promiseResults =>
promiseResults.reduce((arr, el) => arr.concat(el), [])
);
you need to put userId under each discriminators for that.
I've recently started using Mongoose with Express.js in a Node.js application and I have a question about a proper way to design my schemas.
I have several schemas that have some relationships, i.e. Location schema has an array of Objects (it's not a JS object in this context), and Object schema has its Location property. I've learned that relationships in Mongoose are resolved using population, but when I implemented this approach I noticed that I have to type a lot of duplicate code, i.e. whenever I want to create a new Object I have to also update the Location's array of Objects and then assign the Location to the Object's property. Wouldn't it be more trivial to just manually assemble all the Objects that has a locationId property equal to the Location that I want to get from the database in a separate query?
I have also considered just storing Objects in an array in a Location document (as subdocuments) but I decided that I want to be able to work with Objects (create, remove, update) separately from Locations (without querying a Location) so this approach doesn't fit my needs I guess. But then population has its drawbacks too in my case, so I guess it's really the best to just go with manually collecting Objects of a specific Location in a separate query by that Location's id.
I would like to hear an opinion of some professional or advanced user of this technology on designing Mongoose schemas so that I and others don't get into trouble later maintaining and scaling our applications.
Here are my current schemas in question:
var locationSchema = new mongoose.Schema({
title: String,
objects: [{ type: String, ref: 'object' }]
});
var objectSchema = new mongoose.Schema({
title: String,
location: { type: String, ref: 'location' }
});
Checkout this example
db/schemas.js:
const Schema = mongoose.Schema;
const ObjectSchema = {
title: Schema.Types.String
}
const LocationSchema = new Schema({
title: Schema.Types.String,
objects: [{type: Schema.Types.ObjectId, ref: 'Object'}]
})
module.exports = {
Object: ObjectSchema,
Location: LocationSchema
};
db/model.js:
const
mongoose = require('mongoose'),
schemas = require('./schemas');
module.exports = model => mongoose.model(model, schemas[model+'Schema']);
usage:
const
model = require('./db/model'),
LocationModel = model('Location');
LocationModel
.findOne({_id: 'some id here'})
.populate('objects')
.exec((err, LocationInstance) => {
console.log(LocationInstance.title, ' objects:', LocationInstance.objects);
});
when You create an object and want to relate to location:
const
model = require('./db/model'),
ObjectModel = model('Object'),
LocationModel = model('Location');
let
ObjectInstance = new ObjectModel({title: 'Something'});
ObjectInstance.save((err, result) => {
LocationModel
.findByIdAndUpdate(
'some id here',
{$push: {objects: ObjectInstance._id}},
(err) => {
console.log('Object:', ObjectInstance.title, ' added to location');
});
});
updating object data:
const
model = require('./db/model'),
ObjectModel = model('Object');
let id = 'id of object';
ObjectModel
.findByIdAndUpdate(
id,
{title: 'Something #2'},
(err) => {
console.log('Object title updated');
});
finding location by object:
const
model = require('./db/model'),
LocationModel = model('Object');
let id = 'id of object';
LocationModel
.findOne({objects: id})
.populate('objects')
.exec((err, LocationInstance) => {
console.log('Location objects:', LocationInstance.objects);
});
nothing special findOne({objects: id}) will search inside location documents that has relation by id in objects array
any other question welcome (:
I am designing a MEAN (MongoDb + Express.js + Angular.js + Node.js) app.
The application actors are users and persons; currently there are ~1000 persons and ~100 users.
The users are the application registered users, and the persons are external people the users need to be informed of.
Each user is able to rate and take some notes about any person she is interested in.
The database schemas I'm planning are:
var person = new mongoose.Schema({
name: String,
phone: String,
...
};
var user = new mongoose.Schema({
name: String,
email: String,
...
},
var userToPersonSchema = new mongoose.Schema({
userId: { type: ObjectId , required: true },
personId: { type: ObjectId, required: true },
rating: Number,
notes: String,
...
});
This is the query I plan to add user rating for a person:
db.userToPerson.insert({
userId: currentUserId,
personId: currentPersonId,
rating: 10,
notes: 'my preferred person!'
});
This is the code I have to find all persons with a rating by a user:
var currentUserId = '123...';
var personsAll = db.person.find();
var usersToPersonsAll = db.userToPerson.find({ _id: currentUserId });
var personsRatedByCurrentUser = [];
for (var p = 0; p < personsAll.length; p++) {
for (var u = 0; u < usersToPersonsAll.length; u++) {
if (personsAll[p]._id === usersToPersonsAll[u].personId) {
personsRatedByCurrentUser.push(personsAll[p]);
}
}
}
The question:
for the last "query" I suppose I'd better use some form of aggregation, but I can't find out any...
Any advise about a schema design modification should be welcome, too, of course...
Any time I need a join in MongoDB, I break the problem into two queries.
First, fetch the ids from the first collection using distinct. Distinct just returns an array of unique values.
Then, query the second collection for documents corresponding to those ids. The $in parameter conveniently takes an array.
var currentUserId = '123...';
var personIds = db.userToPerson.distinct("personId", { _id: currentUserId });
var personsRatedByCurrentUser = db.person.find({ _id: {$in, personIds}});
I am trying to use populate to return results that are ref to the Stamp model, under the users array of stamps but for some reason it does not return any results when I see in the database a list of stamp ids in the stamps array...
Here is my code:
var selectQuery = "_id name";
var populateQuery = [{path:'stamps', select: selectQuery, model: 'Stamp', }];
User.findOne({_id: userId}).populate(populateQuery).sort({date: -1}).skip(count).limit(100).exec(function(err, results) {
if(err) {
Here is the User Schema
var mongoose = require('mongoose'),
Schema = mongoose.Schema,
ObjectId = mongoose.Schema.Types.ObjectId,
var Stamp = require('../models/stamp.js');
var User = new Schema({
name: { type: String},
stamps: [{ type: ObjectId, ref: 'Stamp' }],
The "query" form of populate doesn't take an array as argument, but an object:
// `model` can be left out as Mongoose will look that up in the schema
var populateQuery = { path : 'stamps', select : selectQuery };
Using node.js, mongodb on mongoHQ and mongoose. I'm setting a schema for Categories. I would like to use the document ObjectId as my categoryId.
var mongoose = require('mongoose');
var Schema = mongoose.Schema,
ObjectId = Schema.ObjectId;
var Schema_Category = new Schema({
categoryId : ObjectId,
title : String,
sortIndex : String
});
I then run
var Category = mongoose.model('Schema_Category');
var category = new Category();
category.title = "Bicycles";
category.sortIndex = "3";
category.save(function(err) {
if (err) { throw err; }
console.log('saved');
mongoose.disconnect();
});
Notice that I don't provide a value for categoryId. I assumed mongoose will use the schema to generate it but the document has the usual "_id" and not "categoryId". What am I doing wrong?
Unlike traditional RBDMs, mongoDB doesn't allow you to define any random field as the primary key, the _id field MUST exist for all standard documents.
For this reason, it doesn't make sense to create a separate uuid field.
In mongoose, the ObjectId type is used not to create a new uuid, rather it is mostly used to reference other documents.
Here is an example:
var mongoose = require('mongoose');
var Schema = mongoose.Schema,
ObjectId = Schema.ObjectId;
var Schema_Product = new Schema({
categoryId : ObjectId, // a product references a category _id with type ObjectId
title : String,
price : Number
});
As you can see, it wouldn't make much sense to populate categoryId with a ObjectId.
However, if you do want a nicely named uuid field, mongoose provides virtual properties that allow you to proxy (reference) a field.
Check it out:
var mongoose = require('mongoose');
var Schema = mongoose.Schema,
ObjectId = Schema.ObjectId;
var Schema_Category = new Schema({
title : String,
sortIndex : String
});
Schema_Category.virtual('categoryId').get(function() {
return this._id;
});
So now, whenever you call category.categoryId, mongoose just returns the _id instead.
You can also create a "set" method so that you can set virtual properties, check out this link
for more info
I was looking for a different answer for the question title, so maybe other people will be too.
To set type as an ObjectId (so you may reference author as the author of book, for example), you may do like:
const Book = mongoose.model('Book', {
author: {
type: mongoose.Schema.Types.ObjectId, // here you set the author ID
// from the Author colection,
// so you can reference it
required: true
},
title: {
type: String,
required: true
}
});
My solution on using ObjectId
// usermodel.js
const mongoose = require('mongoose')
const Schema = mongoose.Schema
const ObjectId = Schema.Types.ObjectId
let UserSchema = new Schema({
username: {
type: String
},
events: [{
type: ObjectId,
ref: 'Event' // Reference to some EventSchema
}]
})
UserSchema.set('autoIndex', true)
module.exports = mongoose.model('User', UserSchema)
Using mongoose's populate method
// controller.js
const mongoose = require('mongoose')
const User = require('./usermodel.js')
let query = User.findOne({ name: "Person" })
query.exec((err, user) => {
if (err) {
console.log(err)
}
user.events = events
// user.events is now an array of events
})
The solution provided by #dex worked for me. But I want to add something else that also worked for me: Use
let UserSchema = new Schema({
username: {
type: String
},
events: [{
type: ObjectId,
ref: 'Event' // Reference to some EventSchema
}]
})
if what you want to create is an Array reference. But if what you want is an Object reference, which is what I think you might be looking for anyway, remove the brackets from the value prop, like this:
let UserSchema = new Schema({
username: {
type: String
},
events: {
type: ObjectId,
ref: 'Event' // Reference to some EventSchema
}
})
Look at the 2 snippets well. In the second case, the value prop of key events does not have brackets over the object def.
You can directly define the ObjectId
var Schema = new mongoose.Schema({
categoryId : mongoose.Schema.Types.ObjectId,
title : String,
sortIndex : String
})
Note: You need to import the mongoose module
Another possible way is to transform your _id to something you like.
Here's an example with a Page-Document that I implemented for a project:
interface PageAttrs {
label: string
// ...
}
const pageSchema = new mongoose.Schema<PageDoc>(
{
label: {
type: String,
required: true
}
// ...
},
{
toJSON: {
transform(doc, ret) {
// modify ret directly
ret.id = ret._id
delete ret._id
}
}
}
)
pageSchema.statics.build = (attrs: PageAttrs) => {
return new Page({
label: attrs.label,
// ...
})
}
const Page = mongoose.model<PageDoc, PageModel>('Page', pageSchema)
Now you can directly access the property 'id', e.g. in a unit test like so:
it('implements optimistic concurrency', async () => {
const page = Page.build({
label: 'Root Page'
// ...
})
await page.save()
const firstInstance = await Page.findById(page.id)
const secondInstance = await Page.findById(page.id)
firstInstance!.set({ label: 'Main Page' })
secondInstance!.set({ label: 'Home Page' })
await firstInstance!.save()
try {
await secondInstance!.save()
} catch (err) {
console.error('Error:', err)
return
}
throw new Error('Should not reach this point')
})