update a nested document reference [duplicate] - mongodb

This question already has answers here:
Updating a Nested Array with MongoDB
(2 answers)
MongooseJS - How to save document and referenced document
(2 answers)
Closed 3 years ago.
I have a document called MentorProfile that has a reference to document CommentFeed. I am executing the following:
MentorProfile.findOneAndUpdate(
{
_id: req.body.profileId,
'lessons._id': req.body.lessonId,
'lessons.completedList.userData': { $ne: req.user._id }
},
{
$push: {
'lessons.$.completedList': {
name: req.user.name,
avatar: req.body.userAvatar,
userRecord: req.user._id
}
},
$push: {
'lessons.$.commentFeed.comments': {
user:{name:'name', avatar:'avatar', userRecord:'8u38u3jfj'}
text: 'test'
}
}
},
{ new: true }
)
I am wanting to push a new comment to the comments array, where the array is nested as follows:
MentorProfile>CommentFeed>comments
The code snippet I attached doesn't work, i'm sure i'm missing something obvious
MentorProfile snippet of relevant info
lessons: [
{
completedList: [
{
name: { type: String, required: true },
avatar: { type: String, required: true },
userData: {
type: Schema.Types.ObjectId,
ref: 'User'
}
}
],
stepType: { type: String, required: true },
commentFeed: { type: Schema.Types.ObjectId, ref: 'CommentFeed', required: true }
}
]
CommentFeed snippet
comments: [
{
user: {
name: { type: String, required: true },
avatar: { type: String, required: true },
userRecord: {
type: Schema.Types.ObjectId,
ref: 'User'
}
},
text: { type: String, required: true }]}

Related

How do you update a nested array with Mongoose?

This is what I have so far. This is my AnswerSchema with a comments array nested within that I am trying to update.
const AnswerSchema = new Schema({
user: {
type: Schema.Types.ObjectId,
ref: 'user',
},
question: {
type: Schema.Types.ObjectId,
ref: 'question',
},
text: {
type: String,
required: true,
},
name: {
type: String,
},
avatar: {
type: String,
},
views: {
type: Number,
},
date: {
type: Date,
default: Date.now,
},
answerLikes: [
{
user: {
type: Schema.Types.ObjectId,
ref: 'user',
},
},
],
comments: [
{
user: {
type: Schema.Types.ObjectId,
ref: 'user',
},
text: {
type: String,
required: true,
},
name: {
type: String,
},
avatar: {
type: String,
},
commentLikes: [
{
user: {
type: Schema.Types.ObjectId,
ref: 'user',
},
},
],
date: {
type: Date,
default: Date.now,
},
},
],
})
and here is my update route that I am trying to use to update the comments array text field
try {
const updatedAnswer = await Answer.findOneAndUpdate(
{ _id: req.params.answer_id },
{
$set: { 'comments.$[comment].text': formattedAnswer },
},
{
arrayFilters: [{'comment._id': req.params.comment_id }],
},
{ new: true }
)
res.json(updatedAnswer)
I keep getting the error 'Callback must be a function, got [object Object]' and cant figure out a fix.
Any ideas?
Thanks!
The problem in your code is that you are passing 4 parameters to the findOneAndUpdate function.
The 4th argument is a callback which accepts a function:
(err /* an error if occurred */, doc /* the updated document */) => {}
In order to solve that you need to combine your last 2 arguments into one object like:
{
arrayFilters: [{'comment._id': req.params.comment_id }],
new: true
}
Final query:
const updatedAnswer = await Answer.findOneAndUpdate(
{ _id: req.params.answer_id },
{
$set: { 'comments.$[comment].text': formattedAnswer },
},
{
arrayFilters: [{'comment._id': req.params.comment_id }],
new: true
}
)
The 4th argument in findOneAndUpdate function takes in a callback function that was where your error was.
Try this
try{
const updatedAnswer = await Answer.findOneAndUpdate(
{ _id: req.params.answer_id },
{
$set: { 'comments.$[comment].text': formattedAnswer },
},
{
arrayFilters: [{'comment._id': req.params.comment_id }],
new: true
}
);
res.json(updatedAnswer);
}catch(err){
//console.log(err)
}

Pushing into array mongoose and mongo

I get the following error Cannot create field 'likes' in element whenever I am trying to push into my likeList array nested inside my comments.
When executing the following:
Feed.findOneAndUpdate(
{
owner: req.body.authorId,
"posts.comments.commentList._id": req.body.commentId
},
{
$push: {
"posts.$.comments.commentList.likes.likeList": {
user: req.user._id,
avatar: req.user.profile.profile_picture.url,
name: req.user.name
}
)
And my schema is as follows:
Feed Schema
owner: {
type: Schema.Types.ObjectId,
ref: "userType"
},
posts: [
{
author: {
userType: {
type: String,
enum: ["IndustryPartner", "User", "School"]
},
user: {
type: Schema.Types.ObjectId,
ref: "posts.author.userType", //<- This may cause an issue, if there are any issues with retrieving user fields, CHECK THIS
required: true
},
name: { type: String, required: true },
avatar: { type: String, required: true }
},
comments: {
totalComments: { type: Number, default: 0 },
commentList: [
{
likes: {
totalLikes: { type: Number, default: 0 },
likeList: [ <---//Trying to push here
{
user: { type: Schema.Types.ObjectId, ref: "User" },
avatar: { type: String },
name: { type: String },
date: {
type: Date,
default: Date.now
}
}
]
...
I am not sure if it's an issue with the query I am using in the first parameter to filter.
Update entire error message
It is odd because it appears that it is actually finding the correct commentList to go to, but is unable to access the likes field within the array itself. Am I wrong assuming that this should be able to step through it? posts.$.comments.commentList.likes.likeList
{ MongoError: Cannot create field 'likes' in element {commentList: [ { likes: { totalLikes: 0, likeList: [] },
_id: ObjectId('5cf6b3293b61fe06f48794e3'), user: ObjectId('5c9bf6eb1da18b038ca660b8'), avatar: "https://sli.blob.core.windows.net/stuli/
profile-picture-e1367a7a-41c2-4ab4-9cb5-621d2008260f.jpg", name: "Luke Skywalker", text: "Test comment from Luke", repliesToComment: [], date: new Date(1559671593009) } ]}
After further research, it appears the positional operator is no longer useful after stepping through 2 levels of arrays. So, the solution would be to use JS to change push the values into the array and then save them.

how to search for any value in the document

I want to search for all value present without specifying key explicitly. Is it possible with this type of schema? If so, how can I write my query. I tried to write query with other refs but I am unable to write without specifying key for each.
const pschema = new Schema({
user: {
type: Schema.Types.ObjectId, // combine by id
ref: "users" //existing model reference
},
company: {
empNo: {
type: Number,
required: true
},
status: {
type: String,
required: true
},...
},
personal: {
gender: {
type: String
},
dob: {
type: Date
},...
},
skills: {
type: [String],
required: true
},
experience: [
{
title: {
type: String,
required: true
},
company: {
type: String,
required: true
},
location: {
type: String
}...
}
],
education: [
{
school: {
type: String,
required: true
},
degree: {
type: String,
required: true
},
specialization: {
type: String
},..
}
],
social: {
twitter: {
type: String
},
facebook: {
type: String
},
linkedin: {
type: String
},...
}
});
For example: If i give linkedin url if should search in social-linkedin and same if i give c it should search in skills array

Ordering two reference arrays together

Suppose I have the following schemas:
var QuizSchema = new mongoose.Schema({
name: { type: String, required: true },
questions: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Question' }],
questionGroups: [{ type: mongoose.Schema.Types.ObjectId, ref: 'QuestionGroup' }]
});
var QuestionSchema = new mongoose.Schema({
number: { type: String, required: true }, // e.g. 1, a, i, anything
question: { type: String, required: true },
type: { type: String, enum: ['multiple choice', 'multiple select', 'short answer'] },
choices: [String],
answers: [String]
});
var QuestionGroupSchema = new mongoose.Schema({
number: { type: String, required: true }, // e.g. 1, a, i, anything
prompt: { type: String },
questions: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Question' }]
});
I am trying to design a way that will allow me to order questions and question groups together.
I was thinking maybe of adding a new field order
var QuizSchema = new mongoose.Schema({
// ...
order: [
{
type: { type: String, enum: ['Question', 'QuestionGroup'] },
id: mongoose.Schema.Types.ObjectId // reference
}
]
});
such that in the database, the field would contain something such as
[
{ type: 'Question', id: ObjectId('57867a34567g67790') },
{ type: 'Question', id: ObjectId('57867a34567g67765') },
{ type: 'QuestionGroup', id: ObjectId('69864b64765y45645') },
{ type: 'Question', id: ObjectId('57867a34567g67770') },
{ type: 'QuestionGroup', id: ObjectId('69864b64767y45647') }
]
This may mean that I would need to "populate" the ordered list of questions and question groups as
quiz.populate('questions questionGroups').exec(function (err, quiz) {
// sort questions and groups by the order
quiz.order = quiz.order.map(function (o) {
if (o.type === 'QuestionGroup') {
return quiz.questionGroups.id(o.id);
}
return quiz.questions.id(o.id);
});
});
So my question: is there a better way to design this?
Virtuals can come in handy here; without persisting order field in db and doing calculations on client each time:
var QuizSchema = new mongoose.Schema({
name: { type: String, required: true },
questions: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Question' }],
questionGroups: [{ type: mongoose.Schema.Types.ObjectId, ref: 'QuestionGroup' }]
},
{
toObject: {
virtuals: true
},
toJSON: {
virtuals: true
}
}
);
QuizSchema
.virtual('order')
.get(function() {
return this.questions.concat(this.questionGroups); //questions followed by questionGroups
});
Sort on createdAt is of course optional, but for that you need to have this field in Question and QuestionGroup:
Quiz.find({}, function (err, quiz) {
//...
})
.populate({path : 'questions', options: {sort: { 'createdAt': 1 }}})
.populate({path : 'questionGroups', options: {sort: { 'createdAt': 1 }}});

Mongoose: How to query objects inside populate? [duplicate]

This question already has answers here:
Querying after populate in Mongoose
(6 answers)
Closed 6 years ago.
I have this route for searching partial user input for orderId.
ordersAdminRouter.route('/searchorder/:term')
.get(function(req, res){
term = req.params.term;
console.log(term);
Orders.find({orderId: new RegExp(term)})
.populate({ path: 'userPurchased products.product', select: '-username -password' })
.exec(function(err, orders){
if (err) throw err;
console.log(orders);
res.json(orders);
});
});
Here is my schema
var orderSchema = new Schema({
orderId: { type: String },
userPurchased: { type: Schema.Types.ObjectId, ref: 'users' },
products: [
{
product: { type: Schema.Types.ObjectId, ref: 'products' },
size: { type: String, required: true },
quantity: { type: Number, required: true },
subTotal: { type: Number, required: true }
}
],
totalQuantity: { type: Number },
totalPrice: { type: Number },
modeOfPayment: { type: String },
shippingAd: { type: String },
refNumber: { type: String },
isDone: { type: Boolean, default: false },
orderStatus: { type: String, default: 'Pending' },
dateOrdered: { type: Date, default: Date.now() },
fromNow: { type: String }
});
Now I need to search for the firstname and lastname inside userPurchased which I only get when I populate. How can search it?
I could not understand what kind of information you are saving in the 'userPurchased' field. I assume the users are in a different collection and you're only persisting the id of the user in the userPurchased. If you are just placing the id, you can search using the following query:
orderSchema.find({userPurchased : 'id'})
If you're putting an object with fields, there's no mystery either. Just use the . operator. For example:
orderSchema.find({userPurchased.firstName : 'name'})
Hope it helped you