I have these two 3 models User, Product and Orders and are also has references to each other.
My Orders Schema:
const orderSchema = Schema({
buyerId:{
type: Schema.Types.ObjectId,
ref: 'User'
},
totalAmount: {
type: Number,
required: [true, "description is required"]
},
createdOn: {
type: Date,
default: new Date()
},
items:[{type:Schema.Types.ObjectId, ref: 'Product'}]})
I'm trying to use populate() like this:
Order.find()
.populate('buyerId')//Reference to User Model
.populate('items')// Reference to Product Model
.exec(function (err, result){
console.log(result);// RETURNS ONLY buyerId populated
console.log(result.buyerId.name);//Successfully references to my User model and prints name
console.log(result.items);//Prints Undefined
})
You can see my console log above and what it returns is only the populated buyerId(only got the reference from my User model)
Seems like my populate('items') doesnt work at all. The items field contains array of IDs, where the IDs are those of products. I need to reference to User and Product both. I'm just following the documentation in mongoose, I don't know what I might be doing wrong.
use aggregate
Order.aggregate([
{ $match:{ user:"sample_id"
}
},
{$lookup:{
from:'users', // users collection name
localField:'buyerId',
foreignField:'_id',
as:'buyerId'
}},
{
$lookup:{
from:'items', //items collection name
localField:'items',
foreignField:'_id',
as:'items'
}
},
])
Related
I am building an education application and I am trying to add/update a field which is an array of objects with addToSet from a javascript array, and if the object already exists (matched with objectId) I want to update the already existing object's array (addToSet) and change another field of that same object.
My model looks like this (simplified):
const course = new Schema(
{
events: [
{
type: Schema.Types.ObjectId,
ref: 'event'
}
],
students: [
{
user: {
type: Schema.Types.ObjectId,
ref: 'user'
},
status: {
type: String,
enum: ['notBooked', 'booked', 'attended', 'completed']
},
events: [
{
type: Schema.Types.ObjectId,
ref: 'event'
}
]
}
],
});
And ideally I would like to use an updateOne query to both addToSet to the course's list of events, while also updating the students list.
Currently I am using this code to accomplish my updates by first finding the course and then using javascript to update it, which works:
const studentsToAdd = this.attendees.map((attendee) => ({
user: attendee._id,
status: 'booked',
events: [this._id]
}));
const studentIds = studentsToAdd.map((student) => student.user);
const course = await courseModel.findById(this.course);
console.log(studentIds);
course.events.push(this._id);
course.students.forEach((student) => {
if (studentIds.some((s) => s.equals(student.user))) {
student.events.push(this._id);
student.status = 'booked';
studentsToAdd.splice(studentsToAdd.indexOf(studentsToAdd.find((s) => s.user.equals(student.user))), 1);
}
});
course.students.push(...studentsToAdd);
course.save();
However I am curious if it is possible to solve this using a single updateOne on the courseModel schema.
This is part of a mongoose middleware function, and "this" references an event object, which has its own _id, attendees of the event, and the course ID (named course).
The goal is to add the student object part of studentsToAdd to the students array of the course IF the student does not exist (signified by user being a reference by objectId), and if the student already exists then I want to add the eventId (this._id) to the events array for that particular student and set status for that student to "booked".
Is this possible? I have tried many iterations using $cond, $elemmatch, "students.$[]" and so forth but I am quite new to mongodb and am unsure how to go about this.
Im coding an app in Node.js which is using MongoDB. I chose MongooseJS to handle my DB queries.
I have two collections that are referenced to each other (Room which is the 'superior' collection and DeviceGroups which is contained within Room collection).
I have a query that gets a list of all of the rooms from Room collection, populates deviceGroups field (which is the Rooms reference to DeviceGroup collection) and inside it there is a map method that goes through every room found in the Room collection and for every room it makes another query - it looks for any deviceGroups in DeviceGroup collection that are referenced to the current room in the map method.
My goal here is to return a list of all of the rooms with deviceGroups field filled in with actual data, not only references.
What I am getting after the queries (inside the then method) is a Mongoose document. The whole algorithm is used as a handler of a GET method, so I need a pure JavaScript object as a response.
Main goal I want to achieve is to get result of all of the queries and population inside them as pure javascript object, so I can create a response object and send it (i dont want to send everything that db returns, because not all of the data is needed for this case)
EDIT:
I am so sorry, I have deleted my code and didnt realize it.
My current code is below:
Schema:
const roomSchema = Schema({
name: {
type: String,
required: [true, 'Room name not provided']
},
deviceGroups: [{
type: Schema.Types.ObjectId,
ref: 'DeviceGroup'
}]
}, { collection: 'rooms' });
const deviceGroupSchema = Schema({
parentRoomId: {
type: Schema.Types.ObjectId,
ref: 'Room'
},
groupType: {
type: String,
enum: ['LIGHTS', 'BLINDS', 'ALARM_SENSORS', 'WEATHER_SENSORS']
},
devices: [
{
type: Schema.Types.ObjectId,
ref: 'LightBulb'
}
]
}, { collection: 'deviceGroups' });
Queries:
app.get('/api/id/rooms', function(req, res) {
Room.find({}).populate('deviceGroups').lean().exec(function(err, parentRoom) {
parentRoom.map(function(currentRoom) {
DeviceGroup.findOne({ parentRoomId: currentRoom._id }, function (err, devices) {
return devices;
});
});
}).then(function(roomList) {
res.send(roomList);
});
});
where are you confusing. here is a simple and effective code snippet
Room.findById(req.params.id)
.select("roomname")
.populate({
path: 'deviceGroup',
select: 'devicename',
model:'DeviceGroups'
populate:{
path: 'device',
select: 'devicename',
model:'Device'
}
})
.lean()
.exec((err, data)=>{
console.log(data);
})
I've been struggling with a weird exception and still confused about it after an hour.
CastError: Cast to ObjectId failed for value "pedrammarandi#gmail.com"
at path "_id" for model "Account"
I'm trying to retrieve an Account via email address. Here is my query
export async function getPendingRecipients(user_id, email_address) {
const account = await Account
.find({email: email_address})
.exec();
return true;
}
This is my Schema object
const userGmailSchema = new Schema({
id: {
type: String,
unique: true
},
displayName: String,
image: Object,
accessToken: String,
user: {
type: Schema.Types.ObjectId,
ref: 'User'
},
refreshToken: {
type: String,
default: null
},
email: {
type: String,
unique: true
},
emails: [
{
type: Schema.Types.ObjectId,
ref: 'Emails'
}
]
});
I'm not sure, but I guess the problem is you wrote an id field.
In MongoDB, the "primary key" is _id field, which is an ObjectId object (actually it's a 12-byte-value), and in mongoose, id is a virtual getter of _id, easily said, id is an alias of _id.
(A little different is that, _id returns ObjectId, id returns String version of _id.)
By default, mongoose manage _id field automatically, so commonly we should not write anything about id in schema.
If your id is for something like primary key ID in SQL DB, just remove it from mongoose schema. If it's means something else in your app, try to add an option:
const userGmailSchema = new Schema({
// your schemas here
},
{
{ id: false } // disable the virtual getter
})
or rename it.
http://mongoosejs.com/docs/guide.html#id
Hope this helps.
According to 3.6 release notes I should be able to populate the categories in my order.items.product docs but no go. Here's the schemas:
var Order = new Schema({
items: [{
product: {
type: Schema.Types.ObjectId,
ref: "Product",
}
...
}]
});
var Product = new Schema({
categories: [{
type: Schema.Types.ObjectId,
ref: "Category",
}]
});
My Query (one of many - I 've tried a few combos - this seems to be what is suggested)
Order.findById(id).populate('items.product').exec(function(err, doc) {
var opts = {
path: 'items.product.categories'
};
console.log(doc.items[0].product.categories) // [ 524f035de9d6178e460001a2, 524f0965e9d6178e460001b6 ] - these docs are in the database under the Category collection
Order.populate(doc, opts, function(err, doc) {
// Returns order with category array blank for each product
console.log(doc.items[0].product.categories // []
});
});
It looks like you accidentally typed Order again in your sub-population call.
The second populate call should be something like:
Category.populate(doc, opts, function(err, doc) {...
instead of
Order.populate(doc, opts, function(err, doc) {...
You're telling Mongoose to populate each Product's Categories array element as an Order instead of as a Category.
I have models called "Activities" that I am querying for (using Mongoose). Their schema looks like this:
var activitySchema = new mongoose.Schema({
actor: {
type: mongoose.Schema.ObjectId,
ref: 'User',
required: true
},
recipient: {
type: mongoose.Schema.ObjectId,
ref: 'User'
},
timestamp: {
type: Date,
default: Date.now
},
activity: {
type: String,
required: true
},
event: {
type: mongoose.Schema.ObjectId,
ref: 'Event'
},
comment: {
type: mongoose.Schema.ObjectId,
ref: 'Comment'
}
});
When I query for them, I am populating the actor, recipient, event, and comment fields (all the references). After that, I also deep-populate the event field to get event.creator. Here is my code for the query:
var activityPopulateObj = [
{ path: 'event' },
{ path: 'event.creator' },
{ path: 'comment' },
{ path: 'actor' },
{ path: 'recipient' },
{ path: 'event.creator' }
],
eventPopulateObj = {
path: 'event.creator',
model: User
};
Activity.find({ $or: [{recipient: user._id}, {actor: {$in: user.subscriptions}}, {event: {$in: user.attending}}], actor: { $ne: user._id} })
.sort({ _id: -1 })
.populate(activityPopulateObj)
.exec(function(err, retrievedActivities) {
if(err || !retrievedActivities) {
deferred.reject(new Error("No events found."));
}
else {
User.populate(retrievedActivities, eventPopulateObj, function(err, data){
if(err) {
deferred.reject(err.message);
}
else {
deferred.resolve(retrievedActivities);
}
});
}
});
This is already a relatively complex query, but I need to do even more. If it hits the part of the $or statement that says {actor: {$in: user.subscriptions}}, I also need to make sure that the event's privacy field is equal to the string public. I tried using $elemMatch, but since the event has to be populated first, I couldn't query any of its fields. I need to achieve this same goal in multiple other queries, as well.
Is there any way for me to achieve this further filtering like I have described?
The answer is to change your schema.
You've fallen into the trap that many devs have before you when coming into document database development from a history of using relational databases: MongoDB is not a relational database and should not be treated like one.
You need to stop thinking about foreign keys and perfectly normalized data and instead, keep each document as self-contained as possible, thinking about how to best embed relevant associated data within your documents.
This doesn't mean you can't maintain associations as well. It might mean a structure like this, where you embed only necessary details, and query for the full record when needed:
var activitySchema = new mongoose.Schema({
event: {
_id: { type: ObjectId, ref: "Event" },
name: String,
private: String
},
// ... other fields
});
Rethinking your embed strategy will greatly simplify your queries and keep the query count to a minimum. populate will blow your count up quickly, and as your dataset grows this will very likely become a problem.
You can try below aggregation. Look at this answer: https://stackoverflow.com/a/49329687/12729769
And then, you can use fields from $addFields in your query. Like
{score: {$gte: 5}}
but since the event has to be populated first, I couldn't query any of its fields.
No can do. Mongodb cannot do joins. When you make a query, you can work with exactly one collection at a time. And FYI all those mongoose populates are additional, distinct database queries to load those records.
I don't have time to dive into the details of your schema and application, but most likely you will need to denormalize your data and store a copy of whatever event fields you need to join on in the primary collection.