I have these models:
const UserSchema = new Schema({
profile: {
type: Schema.Types.ObjectId,
ref: "profiles",
},
});
And this model:
const ProfileSchema = new Schema({
user: {
type: Schema.Types.ObjectId,
ref: "users",
},
education: [
{
institution: {
type: Schema.Types.ObjectId,
ref: "institutions",
},
major: {
type: Schema.Types.ObjectId,
ref: "majors",
},
},
],
date: {
type: Date,
default: Date.now,
},
});
I've been trying to populate the user.profile.education array using aggregate.
Particularly, the fields institution and major.
So the expected result is the array of education to have its education elements populated.
So the expected result should be something like this:
[
// user 1
{
profile: {
education: [
{ institution: "institution_1_data", major: "major_1_data" },
{ institution: "institution_2_data", major: "major_2_data" },
{ institution: "institution_3_data", major: "major_3_data" },
],
},
},
// user 2
{
profile: {
education: [
{ institution: "institution_1_data", major: "major_1_data" },
{ institution: "institution_2_data", major: "major_2_data" },
],
},
},
];
This is the query that I wrote:
const getUsersWithPopulatedMajorAndInstitution = async () => {
const unwind_education_stage = {
$unwind: "$education",
};
const populate_education_stage = {
$lookup: {
from: "majors",
let: { major: "$education.major" },
pipeline: [{ $match: { $expr: { $eq: ["$_id", "$$major"] } } }],
as: "education.major",
},
$lookup: {
from: "institutions",
let: { institution: "$education.institution" },
pipeline: [{ $match: { $expr: { $eq: ["$_id", "$$institution"] } } }],
as: "education.institution",
},
};
const populate_profile_stage = {
$lookup: {
from: "profiles",
let: { profile_id: "$profile" },
pipeline: [
{
$match: {
$expr: { $eq: ["$_id", "$$profile_id"] },
},
},
unwind_education_stage,
populate_education_stage,
{
$project: {
education: "$education",
},
},
],
as: "profile",
},
};
let users = await User.aggregate([populate_profile_stage]);
return users;
};
There are two problems with this query.
PROBLEM 1:
It only populates institution because the institution $lookup stage was added after the major $lookup stage.
This makes no sense to me, as I've been using aggregate for a while and would expect both major and institution to be populated.
PROBLEM 2:
Using $unwind means education field would be unwinded.
So if the education array contains more than 1 education element (like the examples above), three "copies" of the user will be created and the end result is something like this:
[
// user 1
{
profile: {
education: [{ institution: "institution_1_data", major: "major_1_data" }],
},
},
{
profile: {
education: [{ institution: "institution_2_data", major: "major_2_data" }],
},
},
{
profile: {
education: [{ institution: "institution_3_data", major: "major_3_data" }],
},
},
// user 2
{
profile: {
education: [{ institution: "institution_1_data", major: "major_1_data" }],
},
},
{
profile: {
education: [{ institution: "institution_2_data", major: "major_2_data" }],
},
},
];
But, that's not the expected result as I mentioned above.
What should I change/add in the query?
Solved this this way:
const getUsersWithPopulatedMajorAndInstitution = async (
user_name_surname_input_value
) => {
const unwind_education_stage = {
$unwind: "$education",
};
const look_up_institution_stage = {
$lookup: {
from: "institutions",
localField: "education.institution",
foreignField: "_id",
as: "education.institution",
},
};
const look_up_major_stage = {
$lookup: {
from: "majors",
localField: "education.major",
foreignField: "_id",
as: "education.major",
},
};
const populate_stage = {
$lookup: {
from: "profiles",
let: { profile_id: "$profile" },
pipeline: [
{
$match: {
$expr: { $eq: ["$_id", "$$profile_id"] },
},
},
unwind_education_stage,
look_up_major_stage,
look_up_institution_stage,
// This is necessary to regroup education elements after unwinding them
{
$group: {
_id: null,
education: {
$push: "$education",
},
},
},
{
$project: {
education: "$education",
},
},
],
as: "profile",
},
};
let filtered_users = await User.aggregate([
populate_stage,
]);
return filtered_users;
};
Related
So I have 2 models user & form.
User Schema
firstName: {
type: String,
required: true,
},
lastName: {
type: String,
required: true,
},
email: {
type: String,
required: true,
}
Form Schema
approvalLog: [
{
attachments: {
type: [String],
},
by: {
type: ObjectId,
},
comment: {
type: String,
},
date: {
type: Date,
},
},
],
userId: {
type: ObjectId,
required: true,
},
... other form parameters
When returning a form, I'm trying to aggregate the user info of every user in the approvalLog into their respective objects as below.
{
...other form info
approvalLog: [
{
attachments: [],
_id: '619cc4953de8413b548f61a6',
by: '619cba9cd64af530448b6347',
comment: 'visit store for disburement',
date: '2021-11-23T10:38:13.565Z',
user: {
_id: '619cba9cd64af530448b6347',
firstName: 'admin',
lastName: 'user',
email: 'admin#mail.com',
},
},
{
attachments: [],
_id: '619cc4ec3ea3e940a42b2d01',
by: '619cbd7b3de8413b548f61a0',
comment: '',
date: '2021-11-23T10:39:40.168Z',
user: {
_id: '619cbd7b3de8413b548f61a0',
firstName: 'sam',
lastName: 'ben',
email: 'sb#mail.com',
},
},
{
attachments: [],
_id: '61a9deab8f472c52d8bac095',
by: '61a87fd93dac9b209096ed94',
comment: '',
date: '2021-12-03T09:08:59.479Z',
user: {
_id: '61a87fd93dac9b209096ed94',
firstName: 'john',
lastName: 'doe',
email: 'jd#mail.com',
},
},
],
}
My current code is
Form.aggregate([
{
$lookup: {
from: 'users',
localField: 'approvalLog.by',
foreignField: '_id',
as: 'approvedBy',
},
},
{ $addFields: { 'approvalLog.user': { $arrayElemAt: ['$approvedBy', 0] } } },
])
but it only returns the same user for all objects. How do I attach the matching user for each index?
I've also tried
Form.aggregate([
{
$lookup: {
from: 'users',
localField: 'approvalLog.by',
foreignField: '_id',
as: 'approvedBy',
},
},
{
$addFields: {
approvalLog: {
$map: {
input: { $zip: { inputs: ['$approvalLog', '$approvedBy'] } },
in: { $mergeObjects: '$$this' },
},
},
},
},
])
This adds the right user to their respective objects, but I can only add the to the root object and not a new one.
You can try the approach,
$map to iterate loop of approvalLog
$filter to iterate loop of approvedBy array and search for user id by
$arrayElemAt to get first element from above filtered result
$mergeObjects to merge current object properties of approvalLog and filtered user
$$REMOVE don't need approvedBy now
await Form.aggregate([
{
$lookup: {
from: "users",
localField: "approvalLog.by",
foreignField: "_id",
as: "approvedBy"
}
},
{
$addFields: {
approvalLog: {
$map: {
input: "$approvalLog",
as: "a",
in: {
$mergeObjects: [
"$$a",
{
user: {
$arrayElemAt: [
{
$filter: {
input: "$approvedBy",
cond: { $eq: ["$$a.by", "$$this._id"] }
}
},
0
]
}
}
]
}
}
},
approvedBy: "$$REMOVE"
}
}
])
Playground
The second approach using $unwind,
$unwind deconstruct the approvalLog array
$lookup with user collection
$addFields and $arrayElemAt to get first element from lookup result
$group by _id and reconstruct the approvalLog array and get first value of other required properties
await Form.aggregate([
{ $unwind: "$approvalLog" },
{
$lookup: {
from: "users",
localField: "approvalLog.by",
foreignField: "_id",
as: "approvalLog.user"
}
},
{
$addFields: {
"approvalLog.user": {
$arrayElemAt: ["$approvalLog.user", 0]
}
}
},
{
$group: {
_id: "$_id",
approvalLog: { $push: "$approvalLog" },
userId: { $first: "$userId" },
// add your other properties like userId
}
}
])
Playground
Hello i am trying to join two collections...
#COLLECTION 1
const valuesSchema= new Schema({
value: { type: String },
})
const categoriesSchema = new Schema({
name: { type: String },
values: [valuesSchema]
})
mongoose.model('categories', categoriesSchema )
#COLLECTION 2
const productsSchema = new Schema({
name: { type: String },
description: { type: String },
categories: [{
type: mongoose.Schema.Types.ObjectId,
ref: 'categories',
}]
})
mongoose.model('productos', productsSchema )
Now, what i pretend to do is join these collections and have an output like this.
#Example Product Document
{
name: 'My laptop',
description: 'Very ugly laptop',
categories: ['5f55949054f3f31db0491b5c','5f55949054f3f31db0491b5b'] // these are _id of valuesSchema
}
#Expected Output
{
name: 'My laptop',
description: 'Very ugly laptop',
categories: [{value: 'Laptop'}, {value: 'PC'}]
}
This is what i tried.
{
$lookup: {
from: "categories",
let: { "categories": "$categories" },
as: "categories",
pipeline: [
{
$match: {
$expr: {
$in: [ '$values._id','$$categories']
},
}
},
]
}
}
but this query is not matching... Any help please?
You can try,
$lookup with categories
$unwind deconstruct values array
$match categories id with value id
$project to show required field
db.products.aggregate([
{
$lookup: {
from: "categories",
let: { cat: "$categories" },
as: "categories",
pipeline: [
{ $unwind: "$values" },
{ $match: { $expr: { $in: ["$values._id", "$$cat"] } } },
{
$project: {
_id: 0,
value: "$values.value"
}
}
]
}
}
])
Playground
Since you try to use the non-co-related queries, I appreciate it, you can easily achieve with $unwind to flat the array and then $match. To regroup the array we use $group. The $reduce helps to move on each arrays and store some particular values.
[
{
$lookup: {
from: "categories",
let: {
"categories": "$categories"
},
as: "categories",
pipeline: [
{
$unwind: "$values"
},
{
$match: {
$expr: {
$in: [
"$values._id",
"$$categories"
]
},
}
},
{
$group: {
_id: "$_id",
values: {
$addToSet: "$values"
}
}
}
]
}
},
{
$project: {
categories: {
$reduce: {
input: "$categories",
initialValue: [],
in: {
$concatArrays: [
"$$this.values",
"$$value"
]
}
}
}
}
}
]
Working Mongo template
I have collection schools with field groups and I am attempting to $lookup documents from the users collection. I am getting empty results however and an extra schools document.
Schools Schema
const SchoolSchema = new Schema({
groups: [
{
name: { type: String },
color: { type: String },
userDrivenName: { type: String },
},
]
});
module.exports = School = mongoose.model("School", SchoolSchema);
User Schema
const UserSchema = new Schema({
name: {
type: String,
required: true,
},
groups: [
{
groupId: { type: String },
name: { type: String },
color: { type: String },
userDrivenName: { type: String },
},
]
});
Query
db.schools.aggregate([
{
$match: {
_id: ObjectId("5d836e584a24e20e6090fd7b")
}
},
{
$project: {
groups: 1
}
},
{
$unwind: "$groups"
},
{
$lookup: {
from: "users",
let: {
groupId: "$groups._id"
},
pipeline: [
{
$match: {
"groups.groupId": "$$groupId"
}
}
],
as: "groups",
},
},
])
Results:
[
{
"_id": "5d836e584a24e20e6090fd7b",
"groups": []
},
{
"_id": "5d836e584a24e20e6090fd7b",
"groups": []
}
]
Expected Results:
[
{
"_id":"5d836e584a24e20e6090fd7b",
"groups":[
{
"_id":"5ec01fdc1dfb0a4f08316dfe",
"name":"GROUP 1",
"users":[
{
"name":"Luke Skywalker"
}
]
}
]
}
]
MongoPlayground
Two things:
There's a type mismatch between groupId and groups.groupId so you need to use $toString (based on your Mongo Playground example),
$lookup with custom pipelines allows only expression when you use $match so you need $in and $expr:
{
$lookup: {
from: "users",
let: { groupId: { $toString: "$groups._id" } },
pipeline: [
{
$match: {
$expr: {
$in: ["$$groupId","$groups.groupId"]
}
}
}
],
as: "groups"
}
}
Mongo Playground
in my project a user can create products. each user have a reference to all of its products and each product have a reference to its user.
both the user and the product have a 'name' field.
i need to get all of the users products array, and in that array i want to have the product name and the
user name that created it (and only those fields and no others).
for example:
Users:
{ _id: 1, name: 'josh', productIds: [1,3]}
{ _id: 2, name: 'sheldon', productIds: [2]}
Products:
{ _id: 1, name: 'table', price: 45, userId: 1}
{ _id: 2, name: 'television', price: 25 userId: 2}
{ _id: 3, name: 'chair', price: 14 userId: 1}
i want to get the following result:
{ _id: 1, name: 'josh',
products: {
{ _id: 1, name: 'table', user: { _id: 1, name: 'josh' },
{ _id: 3, name: 'chair', user: { _id: 1, name: 'josh' },
}
}
{ _id: 2, name: 'sheldon',
products: {
{ _id: 2, name: 'television', userId: { _id: 2, name: 'sheldon' }
}
}
i tried the following query that didn't fill the inner userId and left it with only the id (no name):
User.aggregate([
{
$lookup:
{
from: 'products',
localField: 'productIds',
foreignField: '_id',
as: 'products'
}
}
i also tried the following, which did the same as the first query except it only retried the first product for each user:
User.aggregate([
{
$lookup:
{
from: 'products',
localField: 'productIds',
foreignField: '_id',
as: 'products'
}
},
{
$unwind: {
path: "$products",
preserveNullAndEmptyArrays: true
}
},
{
$lookup: {
from: "user",
localField: "products.userId",
foreignField: "_id",
as: "prodUsr",
}
},
{
$group: {
_id : "$_id",
products: { $push: "$products" },
"doc": { "$first": "$$ROOT" }
}
},
{
"$replaceRoot": {
"newRoot": "$doc"
}
}
Product:
const schema = new Schema(
{
name: {
type: String,
required: true
},
price: {
type: Number,
required: true
},
userId: {
type: Schema.Types.ObjectId,
ref: 'User',
required: true
},
}
);
module.exports = mongoose.model('Product', schema);
User:
const schema = new Schema(
{
name: {
type: String,
required: true,
unique: true
},
productIds: [{
type: Schema.Types.ObjectId,
ref: 'Product',
require: false
}],
{ timestamps: true }
);
module.exports = mongoose.model('User', schema);
any help will be highly appreciated
It looks like a perfect scenario for $lookup with custom pipeline and another nested $lookup. The inner one allows you to handle product-> user relationship while the outer one handles user -> product one:
db.Users.aggregate([
{
$project: {
productIds: 0
}
},
{
$lookup: {
from: "Products",
let: { user_id: "$_id" },
pipeline: [
{
$match: {
$expr: {
$eq: [ "$userId", "$$user_id" ]
}
}
},
{
$lookup: {
from: "Users",
localField: "userId",
foreignField: "_id",
as: "user"
}
},
{
$unwind: "$user"
},
{
$project: {
"user.productIds": 0,
"price": 0,
"userId": 0
}
}
],
as: "products"
}
}
])
Mongo Playground
I'm working with the followings mongoose schemas:
Question schema:
var Question = new Schema({
title: String,
content: String,
createdBy: {
type: Schema.ObjectId,
ref: 'User',
required: true
},
answers: {
type: [ { type: Schema.Types.ObjectId, ref: 'Answer' } ]
}
});
Answer Shchema:
var Answer = new Schema({
content: {
type: String,
require: 'Content cannot be empty.'
},
createdBy: {
type: Schema.Types.ObjectId,
ref: 'User'
},
isBest: {
type: Boolean,
default: false
},
createdAt: {
type: Date,
default: Date.now
},
votes: {
type: Number,
default: 0
},
comments: {
type: [{ type: Schema.Types.ObjectId, ref: 'Comment' }]
}
});
and Comment Schema:
var Comment = new Schema({
content: {
type: String,
required: [true, 'Content cannot be empty']
},
createdBy: {
type: Schema.Types.ObjectId,
ref: 'User'
},
createdAt: {
type: Date,
default: Date.now
}
});
Basically what I'm trying to do is doing a $lookup for answers and for comments array in every answer, and then in $project stage try to add an isOwner field that is going to be true if the user logged is the owner of the answer or comment. This is what I' trying:
Question.aggregate([
{
$match: { '_id': { $eq: questionId } }
},
{
$lookup: {
from: 'answers',
localField: 'answers',
foreignField: '_id',
as: 'answers'
}
},{
$lookup:{
from: 'comments',
localField: 'answers.comments',
foreignField: '_id',
as: 'comments'
}
}, {
$project: {
title: true,
content: true,
createdBy: true,
createdAt: true,
isOwner: { $eq : ['$createdBy', currentUser] },
answers: true,
answers: {
isOwner: { $eq : ['$createdBy', currentUser] },
content: true,
createdBy: true,
createdAt: true,
comments: {
content: true,
createdAt: true,
createdBy: true,
isOwner: { $eq : ['$createdBy', currentUser] }
}
}
}
}
])
This is the ouput that I'm expecting:
{
"_id": "58a7be2c98a28f18acaa4be4",
"title": "Some title",
"createdAt:": "2017-03-03T05:13:41.061Z",
"content": "some content",
"isOwner": true,
"createdBy": {
"_id": "58a3a66c088fe517b42775c9",
"name": "User name",
"image": "imgUrl"
},
"answers": [
{
"_id": "58a3a66c088fe517b42775c9",
"content": "an answer content",
"createdAt": "2017-03-03T05:13:41.061Z",
"isBest": false,
"isOwner": false,
"createdBy":{
"_id": "58a3a66c088fe517b42775c9",
"name": "another user",
"image": "another image"
},
"comments": [
{
"_id": "58aa104a4254221580832a8f",
"content": "some comment content",
"createdBy": {
"_id": "58a3a66c088fe517b42775c9",
"name": "another user",
"image": "another image"
},
}
]
}
]
}
I'm using mongodb 3.4.2
You can try addFields stage to add the isOwner field for all the relations.
Question.aggregate([{
$match: {
'_id': {
$eq: questionId
}
}
}, {
$addFields: {
"isOwner": {
$eq: ['$createdBy', currentUser]
}
}
}, { // No unwind needed as answers is scalar of array values.
$lookup: {
from: 'answers',
localField: 'answers',
foreignField: '_id',
as: 'answers'
}
}, {
$addFields: {
"answers.isOwner": {
$eq: ['$createdBy', currentUser]
}
}
}, {
$unwind: "$answers" //Need unwind here as comments is array of scalar array values
}, {
$lookup: {
from: 'comments',
localField: 'answers.comments',
foreignField: '_id',
as: 'comments'
}
}, {
$addFields: {
"comments.isOwner": {
$eq: ['$createdBy', currentUser]
}
}
}, {
$addFields: { // Move the comments back to answers document
"answers.comments": "$comments"
}
}, {
$project: { // Remove the comments embedded array.
"comments": 0
}
}, {
$group: {
_id: null,
isOwner: {
$first: "$isOwner"
},
answers: {
$push: "$answers"
}
}
}])
THe problem with your code is that you have not unwind the answeeres array before lookup
Please check below comment
Question.aggregate([
{
$match: { '_id': { $eq: questionId } }
},
{
$lookup: {
from: 'answers',
localField: 'answers',
foreignField: '_id',
as: 'answers'
}
},
{$unwind : "$answers"}, // <-- Check here
{
$lookup:{
from: 'comments',
localField: 'answers.comments',
foreignField: '_id',
as: 'comments'
}
},
{
$group : {
_id : null,
title: {$first : true},
content: {$first :true},
createdBy: {$first :true},
createdAt: {$first :true},
isOwner: { $eq : ['$createdBy', currentUser] },
answersStatus: {$first :true},
answers : {$push : $answer}
}
}
])