Node.JS + MongoDB aggregation Find array in array from DataBase in MongoDB - arrays

I have a Model in MongoDB which include an array(category) which has an array(picture) inside it.
Shirt Model looks like this:
{ _id: 100, category: [ { name: 'CatName', _id: 101, picture: [Object] } ] }
And my Picture Array looks like this:
[ { path: 'p1', _id: 102 },
{ path: 'p2', _id: 103 } ] }
I Pass 3 variables
main array id which is 100 (var1)
category name which is CatName (var2)
picture id which is 102 (var3)
I want to GET an array which looks like:
{ _id: 100, category: [ { name: 'CatName', _id: 101,
picture: [ { path: 'p1', _id: 102 }]
} ]
}
What I have tried is this:
Shirt.find( {_id: var1} ,
{category: { $and:[ { name: var2 } , { picture: {$elemMatch: {_id: var3}}} ] }} )
.exec(function(err, product) {
console.log('Result ' + product );
res.jsonp(product);
});
But the Result I receive is Undefined for First Code
Second Code That I tried:
Shirt.find( {_id: var1} ,
{category: {$elemMatch: { name: var2,picture: {$elemMatch: {_id: var3} }}} } )
And Result from second code filter the array for var1 and var2
But it contain the whole picture array which means it does not filter var3
What is the correct code to find what I want?
Is this a correct approach for a Shopping Website database Or you have a better suggestion?
Am I applying Parent and Child Database Correctly?
Thanks!

Following mongo query will give you expected result:
db.collection.find({
"category": {
$elemMatch: {
"name": "CatName",
"picture": {
$elemMatch: {
"_id": 102
}
}
}
}
})
You need to convert it in node.js format.
Following format may help you. Not Tested
collection.find({
_id: "" // add your match Id here} ,
{
category: {
"$elemMatch": {
"name": "CatName",
"picture": {
$elemMatch: {
"_id": 102
}
}
}
}
}
})
.exec(function(err, product) {
console.log('Result ' + product);
res.jsonp(product);
});
AFTER EDIT QUESTION
You should use mongo aggregation to get required values. Query will be like following -
db.collection.aggregate({
$unwind: '$category'
}, {
$unwind: '$category.picture'
}, {
$match: {
_id: 100, // add here your var1 variable instead of 100
'category.name': 'CatName', // add here your var2 variable instead of 'CatName'
'category._id': 102, //add your match id here if any otherwise remove this condition
'category.picture._id': 102 //add your var3 instead of 102
}
}, {
$group: {
_id: '$category.name',
'name': {
$first: '$category.name'
},
'picture': {
'$push': '$category.picture'
}
}
})

Related

Mongodb: check that all the fields of the elements of an array of objects respect a condition

I have a database of a the employees of a company that looks like this:
{
_id: 7698,
name: 'Blake',
job: 'manager',
manager: 7839,
hired: ISODate("1981-05-01T00:00:00.000Z"),
salary: 2850,
department: {name: 'Sales', location: 'Chicago'},
missions: [
{company: 'Mac Donald', location: 'Chicago'},
{company: 'IBM', location: 'Chicago'}
]
}
I have an exercise in which I need to write the MongoDb command that returns all them employees who did all their missions in Chicago. I struggle with the all because I cannot find a way to check that all the locations of the missions array are equal to 'Chicago'.
I was thinking about doing it in two time: first find the total number of missions the employee has and then compare it to the number of mission he has in Chicago (that how I would do in SQL I guess). But I cannot found the number of mission the employee did in Chicago. Here is what I tried:
db.employees.aggregate([
{
$match: { "missions": { $exists: true } }
},
{
$project: {
name: 1,
nbMissionsChicago: {
$sum: {
$cond: [
{
$eq: [{
$getField: {
field: { $literal: "$location" },
input: "$missions"
}
}, "Chicago"]
}, 1, 0
]
}
}
}
}
])
Here is the result :
{ _id: 7698, name: 'Blake', nbMissionsChicago: 0 }
{ _id: 7782, name: 'Clark', nbMissionsChicago: 0 }
{ _id: 8000, name: 'Smith', nbMissionsChicago: 0 }
{ _id: 7902, name: 'Ford', nbMissionsChicago: 0 }
{ _id: 7499, name: 'Allen', nbMissionsChicago: 0 }
{ _id: 7654, name: 'Martin', nbMissionsChicago: 0 }
{ _id: 7900, name: 'James', nbMissionsChicago: 0 }
{ _id: 7369, name: 'Smith', nbMissionsChicago: 0 }
First of all, is there a better method to check that all the locations of the missions array respect the condition? And why does this commands returns only 0 ?
Thanks!
If all you need is the agents who had all their missions in "Chicago" then you don't need an aggregation pipeline for it, specifically the approach of filtering the array as part of the aggregation can't utilize an index and will make performance even worse.
A simple query should suffice here:
db.collection.find({
$and: [
{
"missions": {
$exists: true
}
},
{
"missions.location": {
$not: {
$gt: "Chicago"
}
}
},
{
"missions.location": {
$not: {
$lt: "Chicago"
}
}
}
]
})
Mongo Playground
This way we can build an index on the missions field and utilize it properly, any documents with a different value other then "Chigaco" will not match as they will fail the $gt or $lt comparion.
Note that an empty array also matches the condition, you can change the generic "missions" exists condition key into "missions.0": {$exists: true}, this will also require at least one mission.
You are unable to get the correct result as it is not the correct way to iterate the element in an array field.
Instead, you need to work with $size operator to get the size of an array and the $filter operator to filter the document.
Updated: You can directly compare the filtered array with the original array.
db.employees.aggregate([
{
$match: {
"missions": {
$exists: true
}
}
},
{
$project: {
name: 1,
nbMissionsChicago: {
$eq: [
{
$filter: {
input: "$missions",
cond: {
$eq: [
"$$this.location",
"Chicago"
]
}
}
},
"$missions"
]
}
}
}
])
Demo # Mongo Playground

MongoDB using skip and distinct in a query based on values inside an array

So I have document that is structure like this
_id: ObjectId('62bbe17d8fececa06b91873d')
clubName: 'test'
staff:[
'62bbe47f8fececa06b9187d8'
'624f4b56ab4f5170570cdba3' //IDS of staff members
]
A single staff can be assigned to multiple clubs so what I'm trying to achieve is to get all staff that has been assigned to at least one club and display them on a table on the front end, I followed this solution since distinct and skip can't be used on a single query but it just returned this:
[
{ _id: [ '624f5054ab4f5170570cdd16', '624f5054ab4f5170570cdd16' ] } //staff from club 1,
{ _id: [ '624f5054ab4f5170570cdd16', '624f9194ab4f5170570cded1' ] } //staff from club 2,
{ _id: [ '624f4b56ab4f5170570cdba3' ]} //staff from club 3
]
my desired outcome would be like this:
[ _id : ['624f5054ab4f5170570cdd16', '624f9194ab4f5170570cded1', '624f4b56ab4f5170570cdba3'] ]
here's my query:
const query = this.clubModel.aggregate(
[{ $group: { _id: '$staff' } }, { $skip: 0}, { $limit: 10}],
(err, results) => {
console.log(results);
},
);
the values returned are not distinct at all, is there an operation that can evaluate the value inside an array and make them distinct?
Here's my new query after adding the 'createdAt' field in my document structure:
const query = this.clubModel.aggregate([
{ $sort: { createdAt: -1 } },
{
$unwind: '$drivers',
},
{
$project: {
isActive: true,
},
},
{
$group: {
_id: 'null',
ids: {
$addToSet: '$drivers',
},
},
},
{
$project: {
_id: 0,
},
},
{
$skip: skip,
},
{
$limit: limit,
},
]);
Does this works for you, first UNWIND the staff array, and then group on "_id" as null and add staff values using $addToSet:
db.collection.aggregate([
{
"$unwind": "$staff"
},
{
"$group": {
"_id": "null",
"ids": {
"$addToSet": "$staff"
}
}
},
{
"$project": {
"_id": 0,
}
},
{
$skip: 0
},
{
$limit: 10
}
])
Here's the working link.

mongodb - using join on a local variable

I'm using node.js and mongodb, I have an array of objects which holds the names of an id. Let's say below is my array
let names = [
{ value: 1, text: 'One' },
{ value: 2, text: 'Two' },
{ value: 3, text: 'Three' },
{ value: 4, text: 'Gour' }
]
And this is my query result of a collection using $group which gives me the distinct values.
[
{ _id: { code: '1', number: 5 } },
{ _id: { code: '2', number: 5 } },
{ _id: { code: '3', number: 2 } },
{ _id: { code: '4', number: 22 } },
]
$lookup let's us to join the data from a different collection, but in my case I have an array which holds the text value for each of the codes which I got from the query.
Is there a way we can map the text from the array to the results from mongodb?
Any help will be much appreciated.
EDIT
MongoDB query which I was trying
db.collection.aggregate([
{
$match: {
_Id: id
}
},
{
$lookup: {
localField: "code",
from: names,
foreignField: "value",
as: "renderedNames"
}
},
{
"$group" : {
"_id": {
code: "$code",
number: "$number"
}
}
}
]);
Local variable lives in nodejs app, and mongodb knows nothing about it.
It looks like it belongs to representation layer, where you want to show codes as meaningful names. The mapping should be done there. I believe find is the most suitable here:
names.find(name => name.code === doc._id.code).text
If the names are not truly variable but quite constant, you can move it to own collection, e.g. codeNames:
db.codeNames.insert([
{ _id: "1", text: 'One' },
{ _id: "2", text: 'Two' },
{ _id: "3", text: 'Three' },
{ _id: "4", text: 'Gour' }
]);
and use $lookup as following:
db.collection.aggregate([
{
$match: {
_Id: id
}
},
{
"$group" : {
"_id": {
code: "$code",
number: "$number"
}
}
},
{
$lookup: {
localField: "_id.code",
from: "codeNames",
foreignField: "_id",
as: "renderedNames"
}
}
]);
If none of the above suit your usecase, you can pass the names to the database in each request to map names db-side, but you must be really really sure you cannot use 2 previous options:
db.collection.aggregate([
{
$match: {
_Id: id
}
},
{
"$group" : {
"_id": {
code: "$code",
number: "$number"
}
}
},
{
$project: {
renderedNames: { $filter: {
input: [
{ value: "1", text: 'One' },
{ value: "2", text: 'Two' },
{ value: "3", text: 'Three' },
{ value: "4", text: 'Gour' }
],
as: "name",
cond: { $eq: [ "$$name.value", "$_id.code" ] }
}
}
}
},
]);
As a side note, I find $match: {_Id: id} quite confusing, especially followed by $group. If _Id is _id, it is unique. You can have no more than 1 document after this stage, so there is not too much to group really.

Count an array inside an array and then sum them MongoDB NodeJS

I have an object that has an array of page objects and each page object has an array of questions.
Ex object:
{
Id: 1,
UserId: 14,
Deleted: false,
Collaborators: [],
Title: "Awesome",
Pages: [{
Id: 1,
Title: 'Jank',
Questions: [
{ Id: 1, Content: 'Ask me about it' },
{ Id: 2, Content: 'Ask me about it again' }
]
}, {
Id: 2,
Title: 'Janker',
Questions: [
{ Id: 1, Content: 'Tell me about it' },
{ Id: 2, Content: 'Tell me about it again' }
]
}]
}
What I am trying to do is to get a count of all the questions for the entire bas object. I am not sure how to do that. I have tried to use aggregate and $sum the total questions and then do another function to $sum those all together to get a total for the entire object. Unfortunately my $sum is not working like I thought it would.
Ex code (nodejs):
var getQuestionCount = function(id) {
var cursor = mongo.collection('surveys').aggregate([{
$match: {
$or: [{
"UserId": id
}, {
"Collaborators": {
$in: [id]
}
}]
}
}, {
$match: {
"Deleted": false
}
}, {
$unwind: "$Pages"
},
{ $group: { _id: null, number: { $sum: "$Pages.Questions" } } }
], function(err, result) {
//This log just gives me [object Object], [object Object]
console.log('q count ' + result);
});
}
Any idea how to do this? My end result from the example object above would ideally return 4 as the question count for the whole object.
I'd try following shell query.
db.collection.aggregate([
// filter out unwanted documents.
{$match:{Id: 1}},
// Unwind Pages collection to access Questions array
{$unwind:"$Pages"},
// Count items in Questions array
{$project:{count: {$size:"$Pages.Questions"}}},
// Finally sum items previously counted.
{$group:{_id:"$_id", total: {$sum: "$count"}}}
])
Based on your sample document, it should return correct count of Questions.
{
"_id" : ObjectId("57723bb8c10c41c41ff4897c"),
"total" : NumberInt(4)
}

Update embedded mongoose document in array

Lets say that I have the following document in the books collection:
{
_id:0 ,
item: "TBD",
stock: 0,
info: { publisher: "1111", pages: 430 },
tags: [ "technology", "computer" ],
ratings: [ { _id:id1, by: "ijk", rating: 4 }, {_id:id2 by: "lmn", rating: 5 } ],
reorder: false
}
I would like to update the value of ratings[k].rating and all I know is the id of the collection and the _id of the objects existing in the array ratings.
The tutorial of mongoDB has the following example that uses the position of the object inside the array but I suppose that if the update can only be done by knowing the position, this means that I firstly have to find the position and then proceed with the update? Can I do the update with only one call and if so how I can do that?
db.books.update(
{ _id: 1 },
{
$inc: { stock: 5 },
$set: {
item: "ABC123",
"info.publisher": "2222",
tags: [ "software" ],
"ratings.1": { by: "xyz", rating: 3 }
}
}
)
Sorry for late answer; I think this is what you want to do with mongoose.
Books.findOneAndUpdate({
_id: 1,
'ratings._id': id1
},
{
$set: {
'ratings.$.rating' : 3
}
}, function(err, book){
// Response
});
Positional operator may help you:
db.books.update(
// find book by `book_id` with `rating_id` specified
{ "_id": book_id, "ratings._id": rating_id },
// set new `value` for that rating
{ $set: { 'ratings.$.rating': value }}
);
$ will save position of matched document.

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