What is the difference between nesting schema in schema (subdocuments) vs creating two separate models and referring to them, What about their performance?
subdocuments:
const postSchema = new Schema({
title: String,
content: String
});
const userSchema = new Schema({
name: String,
posts: [postSchema]
});
module.export = mongoose.model('User', userSchema);
nested models (Populating by reference):
const postSchema = new Schema({
title: String,
content: String,
author: { type: String, ref: 'User' }
});
module.export = mongoose.model('Post', postSchema);
const userSchema = new Schema({
name: String,
posts: [{ type: Schema.Types.ObjectId, ref: 'Post'}]
});
module.export = mongoose.model('User', userSchema);
Edit: This is not a duplicate question.
In this question: Mongoose subdocuments vs nested schema - mongoose subdocuments and nested schema is exactly the same.
BUT nested models creating a separate collection in database.
My question is what is diffrence in nested schema vs nested models, not subdocuments vs nested schema.
When using subdocuments, you actually have a copy of the data within your parent-document, wich allows you to get all the document + sub-document-data in a single query.
When using "nested models" you're not really nesting them, but referencing from the parent-model to the child-model. In this case you have to use population, which means you can't get all the data in a single query.
In short: subdocuments actually nest the data, and your "nested models" only reference them via their id
Related
I want to create a schema where I can add the same item type as a child to itself.
For instance, a page can be a sub-page with the same properties.
You can use mongoose.Schema.ObjectId and make a reference to the same schema.
In your case, it might be like this:
const mongoose = require('mongoose')
const PageSchema = new mongoose.Schema({
name: {
type: String
},
subPage: {
type: mongoose.Schema.ObjectId,
ref: 'Page'
}
})
module.exports = mongoose.model('Page', PageSchema)
By the way, don't forget to register your schema with the same name as you use in the reference. In the above example, it is registered as Page.
At the moment I am looking at mongoDB. I try to implement a simple one-to-many relation using nodejs and mongoose:
Model/Schema User:
var mongoose = require('mongoose'),
Schema = mongoose.Schema;
var UserSchema = new Schema({
name: String
});
module.exports = mongoose.model('User', UserSchema);
Model/Schema Article:
var mongoose = require('mongoose'),
Schema = mongoose.Schema;
var ArticleSchema = new Schema({
name: {
type: String,
required: true
},
user: {
type: Schema.ObjectId,
ref: 'User'
}
});
module.exports = mongoose.model('Article', ArticleSchema);
So my question, now:
How can I get all Users including its Articles?
Do I really have to add a ref to my UserScheme, too? What is the best-practice in an one-to-many relation like this? Is there something like a join in mongodb?
One User has many Articles - an Article belongs to one User.
Calling something like /user/:user_id , I want to receive the user with _id=user_id containing all of his articles.
That is the most horrible idea, for various reasons.
First, there is a 16MB BSON document size limit. You simply can not put more into a document. Embedding documents is rather suited for "One-to-(VERY-)Few" relationships than for a "One-to-Many".
As for the use case: What is your question here? It is
For a given user, what are the articles?
REST wise, you should only return the articles when /users/:id/articles is GETed and the articles (and only the articles) should be returned as a JSON array.
So, your model seems to be natural. As for the user:
{
_id: theObjectId,
username: someString
…
}
and an article should look like this:
{
_id: articleIdOrSlugOrWhatever,
authors: [theObjectId],
// or author: theObjectId
retention: someISODate,
published: someOtherISODate
}
So when your REST service is called for /users/:id you'd simply look up
var user = db.users.findOne({_id:id})
And when /users/:id/articles is called, you'd lookup
var articles = db.articles.find({author:id})
Problem solved in a scalable way, adhering to REST principles.
I have this 2 schemas in mongoose:
The Booking schema
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var bookingSchema = new Schema({
bookingNO: { type: Number, unique: true},
plateNO: String,
startDate: String,
bookedTime: Number,
creator: {type: Schema.Types.ObjectId, ref: 'User'}
});
var Booking = mongoose.model('Booking', bookingSchema);
The User schema:
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var userSchema = new Schema({
username: String,
password: String,
balance: Number,
bookings: [{type: Schema.Types.ObjectId, ref: 'Booking'}]
});
var User = mongoose.model('User', userSchema);
The problem with this design is:
Some Bookings were NOT created by a user - in which case the 'creator' field in Booking would be empty. Likewise, some Users do NOT necessarily contain a Booking - they may later on.
I was thinking about deleting the creator and bookings fields from the 2 Schemas, and using the { strict: false } option in Mongoose. Would this be the best option ?
If this is the case, I would have to add the 'creator' property to the Booking model, and 'bookings' property to the User, which would then get saved to the DB.
MOST importantly, due to the fact that I've removed the references from the Schema, how do I go about creating the reference in the case of using { strict: false } ?
Thanks in advance.
Unless a field has require:true flag, it can be left empty.
If you have a field which isn't defined in the Mongoose schema but is present in a document in MongoDB, you'll have to use doc.get('field') instead of just doc.field. Similarly for saving doc.set('field', value) and strict:false will be required otherwise it won't persist.
IMO you should have your schema inclusive rather than exclusive. Mongoose is just a wrapper for your data in MongoDB which at its heart is already schemaless.
In your specific case, you can create a booking without specifying a 'creator', because its of type ObjectId Mongoose will simply create the document and will leave that field empty. The user.bookings is a different matter as it is an Array, in which case Mongoose will always default to an empty array, even if it was left undefined when creating the document. In this case, would it be that bad to just leave the empty array there? It still represents the data accurately, where the user simply has no bookings, but are still able to potentially have them. If you explicitly don't want bookings, then yes, you'll either have to deal with strict: false, or manually $unset/delete the field from the documents.
I have a question about nesting Mongoose schema.
Here is a simple code snippet
var aSchema = new Schema({bar: String});
var bSchema = new Schema({a: aSchema, foo: String});
var cSchema = new Schema({as: [aSchema], foo:String});
This will throw TypeError on bSchema: TypeError: Undefined type at 's' Did you try nesting Schemas? You can only nest using refs or arrays., but works fine for cSchema.
Just want to ask why bSchema does not work. Cannot find explanation in Mongoose doc. Thanks.
MongoDB is not a relational database. This can cause confusion for some who are used to the RDBS model (I still get tripped up occasionally...but I'm really not a DB guy).
Oftentimes, you'll find it beneficial to reference other documents in your Mongo entities. Mongoose schemas provide a very simple and effective way to do this that feels very relational.
When defining a schema that will store a reference to a different type of document, you define the relevant property as an object with a type and a ref. Typically when defining schema properties, you can simply say: a: Number; however, Mongoose provides many different options for a schema property other than type:
a: {
type: Number,
required: true
}
Setting required: true will prevent us from saving a document where the a property is not present.
Once you understand how to define your schemas with object definitions, you can leverage Mongoose's population mechanic:
a: {
type: Mongoose.Schema.ObjectId,
ref: 'a'
}
This tells Mongoose to store the ObjectId (a Mongoose-specific identifier) of a specific a document as the a property of our schema. Still following me?
When setting this property on a Mongoose document, you can simply say: doc.a = myA. When you go to save doc, Mongoose will automagically make the conversion and only store the ID in your database.
When retrieving a document that references another schema, you'll need to populate. I won't go into that, but its pretty simple - check out the documentation.
I was facing this issue as I was completely new to the MongoDB. Later I found we need to use the relationship as below with the help of Mongoose.
Below is my country schema.
var mongoose = require("mongoose");
var Schema = mongoose.Schema;
var ObjectId = Schema.Types.ObjectId;
var CountrySchema = new Schema({
name: { type: String, required: true },
activeStatus: Boolean,
createdOn: Date,
updatedOn: Date
});
And I can use this schema in my State schema as follows.
var mongoose = require("mongoose");
var Schema = mongoose.Schema;
var ObjectId = Schema.Types.ObjectId;
var StateSchema = new Schema({
name: { type: String, required: true },
country: {type: ObjectId, ref: "Country"},
activeStatus: Boolean,
createdOn: Date,
updatedOn: Date
});
Here I am using pointing to my other schema with the help of ref.
For example, I have user collection in db:
{'_id':0, 'name': 'Joe', 'score':[80, 33]}
{'_id':1, 'name': 'Moe', 'score':[90, 81]}
... ...
How can I read this data with existing format, which means, use it's existing schema without create a new one.
I read Mongoose doc and googled for a while but didn't find satisfied answer.
When using mongoose with an existing collection, you have to reference the collection in your mongoose schema. The way to do this is to add the name of the collection to your schema. So if your collection is in 'mongodb://localhost:27017/test' and called 'things', you would use:
~~~
const Schema = mongoose.Schema;
const ThingSchema = new Schema({
name: {
type: String
}
});
const Model = mongoose.model('Thing', ThingSchema, 'things');
module.exports = Model;
~~~
Thanks to http://chrisflx.blogspot.fr/2014/04/nodejs-mongoose-with-preexisting-data.html?m=1
It will work if you make a model with the same schema.
var schema = new mongoose.Schema({ name: 'string', score: [] });
var user = mongoose.model('User', schema);
Edit:
Mongoose is an ODM, so you need a schema to create objects. If you need to run queries and get raw data from the database, I would stick with this library:
https://github.com/mongodb/node-mongodb-native