this is the code which i used
getCartProducts:(userId)=>{
return new Promise(async(resolve,reject)=>{
let cartItems = await db.get().collection(collection.CART_COLLECTION).aggregate([
{
$match:{user:objectId(userId)}
},
{
$lookup:{
from:collection.PRODUCT_COLLECTION,
let:{prodList:'$products'},
pipeline:[
{
$match:{
$expr:{
$in:['$_id',"$$prodList"]
},
},
},
],
as:'cartItems'
}
}
]).toArray()
resolve(cartItems)
})
}
router code:-
router.get('/cart',varifiedLogin,async(req,res)=>{
let products = await userHelpers.getCartProducts(req.session.user._id)
console.log(products);
res.render('user/cart')
})
output i am getting:-
[
{
_id: 5fac03eed5f7b103a8906c03,
user: 5fa8f0dbd417a11f6db37544,
products: [
5fac03eed5f7b103a8906c02,
5fac06f454045e0403e470e0,
5fac268d2071f006ff398666
],
cartItems: []
}
]
this is the expected output. i should be getting objects inside the cartItems.
_id is the product id
user field having the user id
the product having 3 items which i added to the cart.
and inside cart item i need to get the products as array.
[
{
_id: 5fac03eed5f7b103a8906c03,
user: 5fa8f0dbd417a11f6db37544,
products: [
5fac03eed5f7b103a8906c02,
5fac06f454045e0403e470e0,
5fac268d2071f006ff398666
],
cartItems: [[Object],[Object]]
}
]
Use an array of second Argument in $in. $in takes exactly 2 arguments.
like this-
$in: ['$_id', ["$$prodList"]]
Related
I'm trying to get data with $in operator on multiple cases,
here below is my sample data
[{
"userId":1,
"attemptNum":2,
"submissionCount":1,
"questionId":1
},
{
"userId":1,
"attemptNum":2,
"submissionCount":2,
"questionId":1
},
{
"userId":1,
"attemptNum":2,
"submissionCount":1,
"questionId":2
}]
and here below is my query
let history = await this.dbCollection.
.find({
$and: [
{ userId: 1 },
{ attemptNum: 2 },
{ questionId: { $in: [1, 2] } },
{ submissionCount: { $in: [2, 1] } },
],
})
.lean();
expected output:
[{
"userId":1,
"attemptNum":2,
"submissionCount":2,
"questionId":1
},
{
"userId":1,
"attemptNum":2,
"submissionCount":1,
"questionId":2
}]
One thing i got to know that $in works as $or by this SO question,
for temporary solution i written map and getting the desired output
here below is sample code of map
codingHistory.map((mongoHistory) =>{
submittedQuestionIds.map((postgresData) =>{
if(postgresData.submissionCount == mongoHistory.submissionCount && postgresData.questionId == mongoHistory.questionId){
filteredData.push(mongoHistory)
}
})
})
so my question is how can I make this work with a mongo query without external loops
any help or suggestions are really so helpful.
I need to find and update documents with category that corresponding to the query. Array could contain mo than one corresponding id.
Query:
{
"ids": ["61f1cda47018c60012b3dd01", "61f1cdb87018c60012b3dd07"],
"userId": "61eab3e57018c60012b3db3f"
}
I got collection with documents like:
`{
"_id":{"$oid":"61f1cdd07018c60012b3dd09"},
"expenses":[
{"category":"61eafc104b88e154caa58616","price":"1111.00"},
{"category":"61f1cdb87018c60012b3dd07","price":"2222.00"},
{"category":"61f1cda47018c60012b3dd01","price":"1241.00"},
{"category":"61f1cdb87018c60012b3dd07","price":"111.00"}
],
"userId":"61eab3e57018c60012b3db3f"
}`
my method:
async myMethod(ids: [string], userId: string) {
try {
const { ok } = await this.ExpensesModel.updateMany(
{"userId": userId, "expenses.category": { $in: ids }},
{$set: {"expenses.$.category": "newCategoryID"}}
);
return ok
} ........
I path array of ids ["61f1cda47018c60012b3dd01","61f1cdb87018c60012b3dd07","61f1cdb87018c60012b3dd07"] and userId, this code update only 1 category by document.
So can i made it with mongo build in methods? or i need to find matching document and update it it by my self and after that update or insert;
Update with arrayFilters
db.collection.update({
"expenses.category": {
$in: [
"61f1cda47018c60012b3dd01",
"61f1cdb87018c60012b3dd07"
]
}
},
{
$set: {
"expenses.$[elem].category": "61eab3e57018c60012b3db3f"
}
},
{
arrayFilters: [
{
"elem.category": {
$in: [
"61f1cda47018c60012b3dd01",
"61f1cdb87018c60012b3dd07"
]
}
}
]
})
mongoplayground
Below is my code to display review array data which is part of the restaurant collection object:
async get(reviewId) {
const restaurantsCollection = await restaurants();
reviewId = ObjectId(reviewId)
const r = await restaurantsCollection.findOne(
{ reviews: { $elemMatch: { _id : reviewId } } },
{"projection" : { "reviews.$": true }}
)
return r
}
My object looks like:
{
_id: '6176e58679a981181d94dfaf',
name: 'The Blue Hotel',
location: 'Noon city, New York',
phoneNumber: '122-536-7890',
website: 'http://www.bluehotel.com',
priceRange: '$$$',
cuisines: [ 'Mexican', 'Italian' ],
overallRating: 0,
serviceOptions: { dineIn: true, takeOut: true, delivery: true },
reviews: []
}
My output looks like:
{
"_id": "6174cfb953edbe9dc5054f99", // restaurant Id
"reviews": [
{
"_id": "6176df77d4639898b0c155f0", // review Id
"title": "This place was great!",
"reviewer": "scaredycat",
"rating": 5,
"dateOfReview": "10/13/2021",
"review": "This place was great! the staff is top notch and the food was delicious! They really know how to treat their customers"
}
]
}
What I want as output:
{
"_id": "6176df77d4639898b0c155f0",
"title": "This place was great!",
"reviewer": "scaredycat",
"rating": 5,
"dateOfReview": "10/13/2021",
"review": "This place was great! the staff is top notch and the food was delicious! They really know how to treat their customers"
}
How can I get the output as only the review without getting the restaurant ID or the whole object?
So the query operators, find and findOne do not allow "advanced" restructure of data.
So you have 2 alternatives:
The more common approach will be to do this in code, usually people either use some thing mongoose post trigger or have some kind of "shared" function that handles all of these transformations, this is how you avoid code duplication.
Use the aggregation framework, like so:
const r = await restaurantsCollection.aggregate([
{
$match: { reviews: { $elemMatch: { _id : reviewId } } },
},
{
$replaceRoot: {
newRoot: {
$arrayElemAt: [
{
$filter: {
input: "$reviews",
as: "review",
cond: {$eq: ["$$review._id", reviewId]}
}
},
0
]
}
}
}
])
return r[0]
I have these two models:
User.js
const UserSchema = new Schema({
profile: {
type: Schema.Types.ObjectId,
ref: "profiles",
},
following: [
{
type: Schema.Types.ObjectId,
ref: "users",
},
],
});
module.exports = User = mongoose.model("users", UserSchema);
Profile.js
const ProfileSchema = new Schema({
videoURL: {
type: String,
},
});
module.exports = Profile = mongoose.model("profiles", ProfileSchema);
Here's an example of a User document:
{
"following": [
{
"profile":{
"videoURL":"video_url_1"
}
},
{
"profile":{
"videoURL":"video_url_2"
}
},
{
"profile":{}
},
{
"profile":{
"videoURL":"video_url_3"
}
},
{
"profile":{
"videoURL":"video_url_4"
}
},
{
"profile":{
"videoURL":"video_url_5"
}
},
{
"profile":{}
},
{
"profile":{
"videoURL":"video_url_6"
}
}
]
}
I am trying to implement an infinite scroll of the videos of the users followed by the connected user.
This means, I will have to filter user.following.profile.videoURL
WHERE videoURL exists
Suppose, I will be loading two videos, by two videos:
Response 1: ["video_url_1","video_url_2"]
Response 2: ["video_url_3","video_url_4"]
Response 3: ["video_url_5","video_url_6"]
Usually, infinite scroll is easy because all I have to load the documents 2 by 2 by order of storage without filtering on any field.
Example: Displaying the followed users two by two in an infinite scroll
User.findById(user_id).populate({
path: "following",
options: {
skip: 2 * page,
limit: 2,
},
});
But, now I have to perform filtering on each followed_user.profile.video, and return two by two. And I don't see how I can perform BOTH the filtering and the infinite scroll at the same time.
NOTE: According to the documentation:
In general, there is no way to make populate() filter stories based on properties of the story's author. For example, the below query won't return any results, even though author is populated.
const story = await Story.
findOne({ 'author.name': 'Ian Fleming' }).
populate('author').
exec();
story; // null
So I suppose, there is no way for me to use populate to filter based user.followers, based on each user.follower.profile.videoURL
I am not sure it is possible with populate method, but you can try aggregation pipeline,
$match user_id condition
$lookup with aggregation pipeline in users collection for following
$match following id condition
$lookup with profile for following.profile
$match videoURL should exists
$project to show profile field and get first element using $arrayElemAt
$slice to do pagination in following
let page = 0;
let limit = 2;
let skip = limit * page;
User.aggregate([
{ $match: { _id: mongoose.Types.ObjectId(user_id) } },
{
$lookup: {
from: "users",
let: { following: "$following" },
pipeline: [
{ $match: { $expr: { $in: ["$_id", "$$following"] } } },
{
$lookup: {
from: "profiles",
localField: "profile",
foreignField: "_id",
as: "profile"
}
},
{ $match: { "profile.videoURL": { $exists: true } } },
{
$project: {
profile: { $arrayElemAt: ["$profile", 0] }
}
}
],
as: "following"
}
},
{
$addFields: {
following: {
$slice: ["$following", skip, limit]
}
}
}
])
Playground
Suggestion:
You can improve your schema design,
removing profile schema and add profile object in users collection, so you can achieve easily your requirement using populate method,
put match condition in following populate for videoURL exists
const UserSchema = new Schema({
profile: {
type: {
videoURL: {
type: String
}
}
},
following: [
{
type: Schema.Types.ObjectId,
ref: "users"
}
]
});
module.exports = User = mongoose.model("users", UserSchema);
User.findById(user_id).populate({
path: "following",
match: {
"profile.videoURL": { $ne: null }
},
options: {
skip: 2 * page,
limit: 2,
}
});
So what you want is table with infinite scroll and:
You can opt given ways to approach your problem :
Load data (first page) into grid.
Set filter on a col.
Load data again, this time using the filter.
I have a User collection with schema
{
name: String,
books: [
id: { type: Schema.Types.ObjectId, ref: 'Book' } ,
name: String
]
}
Is it possible to get an array of book ids instead of object?
something like:
["53eb797a63ff0e8229b4aca1", "53eb797a63ff0e8229b4aca2", "53eb797a63ff0e8229b4aca3"]
Or
{ids: ["53eb797a63ff0e8229b4aca1", "53eb797a63ff0e8229b4aca2", "53eb797a63ff0e8229b4aca3"]}
and not
{
_id: ObjectId("53eb79d863ff0e8229b97448"),
books:[
{"id" : ObjectId("53eb797a63ff0e8229b4aca1") },
{ "id" : ObjectId("53eb797a63ff0e8229b4acac") },
{ "id" : ObjectId("53eb797a63ff0e8229b4acad") }
]
}
Currently I am doing
User.findOne({}, {"books.id":1} ,function(err, result){
var bookIds = [];
result.books.forEach(function(book){
bookIds.push(book.id);
});
});
Is there any better way?
It could be easily done with Aggregation Pipeline, using $unwind and $group.
db.users.aggregate({
$unwind: '$books'
}, {
$group: {
_id: 'books',
ids: { $addToSet: '$books.id' }
}
})
the same operation using mongoose Model.aggregate() method:
User.aggregate().unwind('$books').group(
_id: 'books',
ids: { $addToSet: '$books.id' }
}).exec(function(err, res) {
// use res[0].ids
})
Note that books here is not a mongoose document, but a plain js object.
You can also add $match to select some part of users collection to run this aggregation query on.
For example, you may select only one particular user:
User.aggregate().match({
_id: uid
}).unwind('$books').group(
_id: 'books',
ids: { $addToSet: '$books.id' }
}).exec(function(err, res) {
// use res[0].ids
})
But if you're not interested in aggregating books from different users into single array, it's best to do it without using $group and $unwind:
User.aggregate().match({
_id: uid
}).project({
_id: 0,
ids: '$books.id'
}).exec(function(err, users) {
// use users[0].ids
})