Develop Reference

How to make a mongoose schema of arrays with nested subdocuments

I want to store an array of nested subdocuments such as the one down bellow:
[
{"2021-02-01income":{"value":37.95,"tax":0,"type":"income"}},
{"2021-03-01income":{"value":38.25,"tax":0,"type":"income"}},
{"2021-03-08fund": {"value":-78,"type":"fund","transaction":"610378deead56742a898443b"}},
{"2021-04-01income":{"value":38.53,"tax":0,"type":"income"}},
{"2021-07-01income":{"type":"income","tax":0,"value":134}},
]
I came up with the following schema which is not working, because as you can see the array of objects is based on unique keys nested objects...
Is there any workaround I can try:
const incomeSchema = mongoose.Schema({
type: { type: String, required: true },
value: { type: Number, required: true },
tax: { type: Number, required: false },
transaction: {
type: mongoose.Schema.Types.ObjectId,
required: false,
ref: 'Transaction',
},
});
const investmentSchema = mongoose.Schema(
{
incomes: [{ type: incomeSchema }],
name: { type: String, required: true },
user: {
type: mongoose.Schema.Types.ObjectId,
required: false,
ref: 'User',
},
account: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'Account',
},
broker: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'Broker',
},
type: { type: String, required: true },
rate: { type: String, required: true },
indexer: { type: String, required: true },
investment_date: { type: Date, required: true },
due_date: { type: Date, required: true },
initial_amount: { type: Number, required: true },
accrued_income: { type: Number, required: false, default: 0 },
taxes: { type: Number, required: false, default: 0 },
},
{ timestamps: true }
);
const Investment = mongoose.model('Investment', investmentSchema);

I found a workaround.... I just setted the _id in the Transaction schema as string and now everything is working... I mean I can update the array of neste subdocuments

What is the best way to attach properties to mongoose documents

I have an array of posts and each post contains an author id. I want to loop through each post and find author from User model by using author id and then attach it to post. What is the best and efficient way to do it. I am currently doing it this way, but it decreases the performance. Thanks.
posts = await Promise.all(
posts.map(async post => {
post.author = await User.findById(post.author).lean();
return post;
})
);
// POST SCHEMA
const postSchema = new mongoose.Schema({
author: {
type: String,
required: true
},
body: {
type: String,
required: true
},
post_image: {
url: String,
public_id: String,
width: Number,
height: Number
},
date_created: {
type: Date,
default: Date.now()
}
});
// USER SCHEMA
const userSchema = new mongoose.Schema({
name: {
type: String,
required: true
},
email: {
type: String,
required: true,
unique: true
},
password: {
type: String,
required: true
},
register_date: {
type: Date,
required: true,
default: Date.now()
},
friends: {
type: Array,
default: []
}
});

// NEW POST SCHEMA
const postSchema = new mongoose.Schema({
author: {
type: mongoose.Schema.Types.ObjectId,
ref: 'users',
required: true
},
body: {
type: String,
required: true
},
post_image: {
url: String,
public_id: String,
width: Number,
height: Number
},
date_created: {
type: Date,
default: Date.now()
}
});
// USER SCHEMA
const userSchema = new mongoose.Schema({
name: {
type: String,
required: true
},
email: {
type: String,
required: true,
unique: true
},
password: {
type: String,
required: true
},
register_date: {
type: Date,
required: true,
default: Date.now()
},
friends: [{
type: mongoose.Schema.Types.ObjectId,
ref: 'users',
required: true
}],
});
You can use auto population of mongo object in mongoose. It won't cause performance issues as it uses id index. Similar to this doc: https://mongoosejs.com/docs/populate.html
Your query will look like this:
const post = await Post.find({ author: { $in: req.user.friends }})
.populate('author')
.exec();
console.log(post);
Or you can use aggregate according to this document: https://mongoosejs.com/docs/api/aggregate.html
Your query will then look like:
const query = [
{ $match: { author: { $in: req.user.friends } } },
{ $lookup: { from: "users", localField: "author", foreignField: "_id", as: "authorDetails" } },
{ $unwind: "authorDetails" },
]
const post = await Post.aggregate(query).exec();
console.log(post);

Updating count of individual sub document that's in an array of a mongo document

So the example right now is for the User table.. I have a UserWeapon document embedded that is an array of all the weapon's a user has and how many kills they have with the weapon. I want to write a query that when given the userId, weaponId, and new kills, it'll update the sub document accordingly.
So something like
const user = await User.findById(userId);
const userWeapon = await user.userWeapon.findById(weaponId);
userWeapon.kills = userWeapon.kills + newAmmountOfKills
user.save();
What would be the most efficient way to do this?
Schemas:
const UserWeaponSchema = new Schema({
weapon: { type: Schema.Types.ObjectId, ref: 'Weapon' },
user: { type: Schema.Types.ObjectId, ref: 'User' },
kills: {
type: Number,
required: true,
unique: false,
},
deaths: {
type: Number,
required: true,
unique: false
},
equippedSkin: {
type: Schema.Types.ObjectId, ref: 'WeaponSkin',
required: false,
},
ownedWeaponSkins: [{ type: Schema.Types.ObjectId, ref: 'WeaponSkin'}]
});
const UserSchema = new Schema({
username: {
type: String,
required: true,
unique: true,
},
password: {
type: String,
required: true,
},
weapons: [{
type: Schema.Types.ObjectId, ref: 'UserWeapon'
}],
});

You can use $inc operator and run update operation, something like:
UserWeaponSchema.update({ weapon: weaponId, user: userId }, { '$inc': { 'kills': newAmmountOfKills } })

Populate in nested schema Mongoose

I have this User model:
const userSchema = new Schema({
_id: {
type: Schema.Types.ObjectId,
required: true
},
name: {
type: String,
required: true
},
email: {
type: String,
unique: true,
required: true
},
notification: {
experiment_id: {
type: Schema.Types.ObjectId,
ref: "Experiment",
required: false
},
seen: {
type: Boolean,
required: true,
default: false
}
}
});
And this Experiment model:
const experimentSchema = new Schema(
{
_id: {
type: Schema.Types.ObjectId,
required: true
},
name: {
type: String,
required: true
},
description: {
type: String,
required: true,
default: "No Description"
},
author_id: {
type: Schema.Types.ObjectId,
ref: "User",
required: true
}
);
I am trying to populate from User the experiment_id in notification.
And from this populate, I would like to populate the author_id as well.
I have seen some code like I have done below but I didn't succeed.
I am trying this:
User.find(
{
_id: req.params.currentUserId
},
"notification"
)
.populate({ path: "experiment_id", populate: { path: "author_id" } })
.exec((err, notif) => {
});

I fixed it by adding notification.experiment_id in the path
User.find(
{
_id: req.params.currentUserId
},
"notification"
)
.populate({ path: "notification.experiment_id", populate: { path: "author_id" } })
.exec((err, notif) => {
});

Updating nested array's field

I have a schema
const RoomSchema = mongoose.Schema({
title: {
type: String,
required: true
},
body: {
type: String,
required: true
},
author: {
type: String,
required: true
},
resource: {
type: String
},
posts: {
type: Array,
default: []
},
url: {
type: String
},
created_at: {
type: String,
required: true
}});
Field 'posts' is another document in my db, defined by the following schema:
const PostSchema = mongoose.Schema({
header: {
type: String,
required: true
},
body: {
type: String,
required: true
},
author: {
username: {type:String, required: true},
_id: {type:String, required:true}
},
room: {
type: String,
required: true
}});
So, I'm trying to create a query that would update fields of certain post inside posts array inside room. I've already tried suggested here, thought without results. I would appreciate any help on the subject
Room.update({ '_id': roomId, 'posts._id': postId },
{ $set: { 'posts.$.header': newHeader, 'posts.$.body': newBody } },
callback);