MongoDB unwinding 2 embedded arrays separately - mongodb

I have a question regarding MongoDB aggregation query which is almost similar to $unwind 2 fields separately in mongodb query.
This is the document:
{
"_id" : "1",
"details" : {
"phonenumber" : [
"1",
"2"
],
"name" : [
"a",
"b"
]
}
}
And I am trying to frame a query which will return me the following result:
{ "_id" : "1", "phonenumber" : "1", "name" : null },
{ "_id" : "1", "phonenumber" : "2", "name" : null },
{ "_id" : "1", "phonenumber" : null, "name" : "a" },
{ "_id" : "1", "phonenumber" : null, "name" : "b" }
Could someone please help me with that?
Closest solution I could figure out is by following query:
db.document.aggregate( [ { $unwind: { path: "$details.name"} }, { $unwind: { path: "$details.phonenumber" } }, { $project: { _id: 1, name: "$details.name", phonenumber: "$details.phonenumber" } } ] )
And the output from above query is:
{ "_id" : "1", "phonenumber" : "1", "name" : "a" },
{ "_id" : "1", "phonenumber" : "1", "name" : "b" },
{ "_id" : "1", "phonenumber" : "2", "name" : "a" },
{ "_id" : "1", "phonenumber" : "2", "name" : "b" }

With MongoDB v3.4, one of the possible solution would be,
db.document.aggregate({
'$facet': {
'phonenumber': [{
'$unwind': '$details.phonenumber'
}, {
'$project': {
phonenumber: '$details.phonenumber',
name: null
}
}],
'name': [{
'$unwind': '$details.name'
}, {
'$project': {
name: '$details.name',
phonenumber: null
}
}]
}
}, {
'$project': {
'combined': {
'$setUnion': ['$phonenumber', '$name']
}
}
}, {
'$unwind': '$combined'
}, {
'$replaceRoot': {
'newRoot': '$combined'
}
})
facet allows us to include multiple aggregation pipelines within a single stage, which is available from version 3.4

Alternate solution for earlier versions of mongodb,
db.document.aggregate([{
$unwind: {
path: "$details.name"
}
}, {
$group: {
_id: "$_id",
nameArr: {
$push: {
name: "$details.name",
phonenumber: {
$ifNull: ["$description", null]
}
}
},
"details": {
$first: "$details"
}
}
}, {
$unwind: "$details.phonenumber"
}, {
$group: {
_id: "$_id",
phoneArr: {
$push: {
phonenumber: "$details.phonenumber",
name: {
$ifNull: ["$description", null]
}
}
},
"nameArr": {
$first: "$nameArr"
}
}
}, {
$project: {
_id: 1,
value: {
$setUnion: ["$nameArr", "$phoneArr"]
}
}
}, {
$unwind: "$value"
}, {
$project: {
name: "$value.name",
phonenumber: "$value.phonenumber"
}
}])

Related

how to get data in single array in mongodb?

I want to achieve my documents in a single array
My data is this:
"summary_data" : [
{
"_id" : ObjectId("60418b730ba57044ec0afddd"),
"category" : "Entertainment",
"name" : "Alia bhatt",
"profession" : "acting"
},
{
"_id" : ObjectId("60418bc838497d42a80879e3"),
"category" : "Entertainment",
"name" : "priyanka chopra",
"profession" : "acting"
},
{
"_id" : ObjectId("60418bef38497d42a80879eb"),
"category" : "Entertainment",
"name" : "radhika apte",
"profession" : "acting"
},
]
}
And i want data like this having min 10(limit) category data of each category.How can achieve this:
"summary_data" : [
{
"_id": ObjectId("60418b730ba57044ec0afddd"),
"data": [{
"Entertainment": [{
"_id": ObjectId("60418ce138497d42a8087a03"),
"category": "Entertainment",
"name": "Alia bhatt",
"profession": "acting"
}],
}]
i have tried many queries some of them are:
db.getCollection('experts').aggregate([
{
$match: {
$or: [
{ category: "Sports" },
{ category: "other" },
{ category: "Entertainment" }
]
}
},
{ $limit: 10 },
{
$group:
{
_id: null,
summary_data: {
$push: {
_id: "$_id",
category: "$category",
name: "$name",
profession: "$profession",
}
},
}
},
])
Please help me to build this query. Thanks in advance.

Project boolean value if any of the nested array item satisfies a condition in mongoDB

An example structure of my collection is below
{
"_id" : ObjectId("5f631d6f3792ae9ce5e35ddd"),
"from" : "kathy",
"content" : "hello",
"to" : [
{
"name" : "david",
"isfavorite" : true
},
{
"name" : "james",
"isfavorite" : false
},
{
"name" : "steve",
"isfavorite" : true
}
]
}
{
"_id" : ObjectId("5f631d6f3792ae9ce5e35dde"),
"from" : "kathy",
"content" : "hey",
"to" : [
{
"name" : "david",
"isfavorite" : false
},
{
"name" : "john",
"isfavorite" : false
},
{
"name" : "roy",
"isfavorite" : true
}
]
}
I am trying to get messages received by a particular person. In this case if we show steve's messages I need to know if it is set as favorite by him. What I need is to project the favorite flag on the outer document itself if it matches some condition
I tried this but not working
db.getCollection('Messages_Collection').aggregate([
{
$match:
{
"to":
{
$elemMatch:
{
"name":"steve"
}
}
}
},
{
$project:
{
"_id":1,
"from":1,
"to":1,
"isfavorite":
{
$cond:
{
if:
{
"$to":
{
$elemMatch:
{
"isfavorite":true,
"name":"david"
}
},
then:true,
else:false
}
}
}
}
}])
Mongo version :4.0.13
You can simply use $filter to filter the particular person and get.
[
{
$match: {
"to.name": "steve"
}
},
{
$addFields: {
isfavorite: {
"$arrayElemAt": [
{
$filter: {
input: "$to",
cond: {
$eq: [
"$$this.name",
"steve"
]
}
}
},
0
]
}
}
},
{
$addFields: {
isfavorite: "$isfavorite.isfavorite"
}
}
]
Working Mongo playground

How to update array of objects to LowerCase in mongodb?

I need to update the role in team array to lowercase.
db.users.find().pretty().limit(1)
{
"_id" : ObjectId("5d9fd81d3d598088d2ea5dc9"),
"employed" : "USA-Atlanta",
"firstName" : "Rory",
"siteRole" : "super admin",
"status" : "active",
"team" : [
{
"name" : "SALES AND MARKETING",
"displayName" : "S&M",
"role" : "Manager"
}
]
}
Tried this code.I m getting it with normal fields.
db.users.find( {}, { 'role': 1 } ).forEach(function(doc) {
db.users.update(
{ _id: doc._id},
{ $set : { 'role' : doc.role.toLowerCase() } },
{ multi: true }
)
});
sample output
"team" : [
{
"name" : "SALES AND MARKETING",
"displayName" : "S&M",
"role" : "manager"
}
]
I think the below Aggregation query is what you are looking for
var count = 0;
db.users.aggregate([
{
"$match": {
"team.role": {$exists: true}
}
},
{
"$project": {
"_id": 1,
// "team": 1,
"teamModified": {
"$map": {
"input": "$team",
"as": "arrayElems",
"in": {
"$mergeObjects": [
"$$arrayElems",
{"role": {"$toLower": "$$arrayElems.role"}}
]
}
}
}
}
},
]).forEach(function(it) {
db.users.updateOne({
"_id": it["_id"]
}, {
"$set": {
"team": it["teamModified"]
}
})
printjson(++count);
})
printjson("DONE!!!")
Note: I haven't tested the script properly in my local, so do let me know if it didn't help you out

How to aggregate lookup sub array documents in mongoDB, and projecting the result?

I have 2 Collections
Posts
Users
Posts collection contains comments array which stores { userId, comment } object, along with other information.
users ollection contains user's information.
I want to return the complete result.
Ex:
{
"postId":"xvzeee",
"post": "Good Morning",
"likedBy":[
12342234,
23456534
]
"comments": [
{
"comment": "very good morning",
"userName": "Max"
},
{
"comment": "v. GM",
"userName": "Suraj"
}
]
}
My Approach to achieve the above result is.
db.wall.aggregate([
{ $lookup: { from: 'profiles', localField: 'likedBy', foreignField: 'profileId', as: 'likedBy' } },
{ $lookup: { from: 'profiles', localField: 'comments.commentedBy', foreignField: 'profileId', as: 'commentedUser' } },
{
$project:{
"likedBy.name": 1,
"likedBy.profileId": 1,
createdBy: 1,
createdAt: 1,
updatedAt: 1,
comments : [{
comment: "$comments.comment",
user: "$commentedUser.name"
}],
"commentedUser.name" : 1
}
}
])
The result is coming like below:
{
"_id" : ObjectId("5dfdbb129f644213c413eb18"),
"likedBy" : [
{
"profileId" : "96444206",
"name" : "Vinay3"
},
{
"profileId" : "400586806",
"name" : "Dev"
}
],
"createdBy" : "96444206",
"commentedUser" : [
{
"name" : "Vinay3"
},
{
"name" : "Dev"
}
],
/*Facing problem in comment array*/
"comments" : [
{
"comment" : [
"Super-awesome",
"FAB",
],
"user" : [
"Vinay3",
"Dev"
]
}
]
}
The comment should look like :
[{
...
"comments" : [
{
"comments" : [
{
comment :"Super-awesome",
user: "Vinay3",
profileId: "11111..."
},
{
comment: "FAB",
user: "Dev",
profileId: "2222..."
}
],
}
]
}]
The Posts Collection looks like this :
[{
"_id" : ObjectId("5dfdbb129f699913c413eb18"),
"post":"Good Morning",
"createdBy" : "96444206",
"postId" : "D9644s5h8m",
"likedBy" : [
"96444206",
"40058680"
],
"comments" : [
{
"commentId" : "COM9644",
"commentedBy" : "96444206",
"comment" : "Super-awesome"
},
{
"commentId" : "COM9644",
"commentedBy" : "96444206",
"comment" : "#FAB"
},
{
"commentId" : "COM00587",
"commentedBy" : "400586806",
"comment" : "marvelous"
}
],
"createdAt" : ISODate("2019-12-21T11:56:26.944+05:30"),
"updatedAt" : ISODate("2019-12-21T12:12:35.047+05:30"),
"__v" : 0
}, {...}, {...}]
User Profiles Collection
[{
"_id" : ObjectId("5dd4ff3abe53181160efa446"),
"accountStatus" : "CONFIRMED",
"profileId" : "400586806",
"name" : "Dev",
"email" : "dev#xyz.com",
"createdAt" : ISODate("2019-11-20T14:24:18.692+05:30"),
"updatedAt" : ISODate("2019-12-20T16:58:06.041+05:30"),
"__v" : 0
}, {...}, {...} ]
How to achieve this, any help will much be appreciated.
However, I'm able to give a solution to my problem like below.
If there any better solution than this will much be appreciated.
db.wall.aggregate([
{ $unwind: '$comments'},
{ $lookup: { from: 'profiles', localField: 'comments.commentedBy', foreignField: 'profileId', as: 'comments.user' } },
{ $unwind: '$comments.user' },
{
$group: {
_id:'$_id',
postId: { $first: "$postId"},
likedBy: { $first: "$likedBy"},
createdBy: { $first: '$createdBy'},
comments: { $push : '$comments' },
createdAt: { $first: "$createdAt" },
updatedAt: { $first: "$updatedAt" },
}
},{
$project: {
_id:1,
postId: 1,
"likedBy.name": 1,
"likedBy.profileId": 1,
createdBy: 1,
comments: {
$map : {
input: '$comments',
as: 'com',
in: {
commentId: "$$com.commentId",
comment: "$$com.comment",
name: "$$com.user.name"
}
}
},
createdAt: 1,
updatedAt: 1,
}
}
])
I want to add isActive => true || false field to the comments object.
now the challenge is how to filter only isActive => true comments ?
Here is my approach
db.posts.aggregate([
{
$unwind: '$likedBy',
},
{
$unwind: '$comments',
},
{
$lookup: {
from: 'users',
localField: 'likedBy',
foreignField: 'profileId',
as: 'likedByUser'
},
},
{
$unwind: '$likedByUser'
},
{
$lookup: {
from: 'users',
localField: 'comments.commentedBy',
foreignField: 'profileId',
as: 'commentByUser'
},
},
{
$unwind: '$commentByUser'
},
{
$group: {
"_id": '$postId',
"post": { $first: 'post'} ,
comments: {
$push: {
"commentId": "$comments.commentId",
"commentedBy": "$likedByUser.name",
"comment": "$comments.comment"
}
},
likes: {
$push: {
"likedByName": "$likedByUser.name",
"likeById": "$likedBy"
}
}
}
},
{
$project: {
"_id": 0,
"postId":'$_id',
"post": 1,
"comments": 1,
"likes": 1
}
}
])

Mongodb $unwind removes objects. if $lookup doesn't have reference [duplicate]

This question already has an answer here:
Handling unwind for the non existing embedded document [duplicate]
(1 answer)
Closed 3 years ago.
If country doesn't have reference states and cities. $unwind removes country name from the collections.
Expected Output will be Mongodb should return country name even if the country doesn't any states and cities reference.
Country Collection:
[
{
"_id": "5d052c76df076d23a48d4a3b",
"name": "India"
},
{
"_id": "5d052c76df076d23a48d4b07",
"name": "Indonesia"
},
{
"_id": "5d052c76df076d23a48d22f4",
"name": "Iran"
}
]
State Collection:
[
{
"_id": "5d2236c37ed1112b3cc41397",
"name": "Andaman and Nicobar Islands",
"countryId": "5d052c76df076d23a48d4a3b"
},
{
"_id": "5d2236c37ed1112b3cc41398",
"name": "Andhra Pradesh",
"countryId": "5d052c76df076d23a48d4a3b"
}
]
City Collection:
[
{
"name": "Port Blair",
"stateId": "5d2236c37ed1112b3cc41397"
},
{
"name": "Adoni",
"stateId": "5d2236c37ed1112b3cc41398"
}
]
Query:
Country.aggregate([
{
$lookup:{
from: 'states',
localField:'_id',
foreignField:'countryId',
as:'states'
}
},
{
$unwind: {
path: "$states"
}
},
{
$lookup:{
from: 'cities',
localField:'states._id',
foreignField:'stateId',
as:'states.cities'
}
},
{
$group: {
_id: {
_id: '$_id',
name: '$name'
},
states: {
$push: '$states'
}
}
},
{
$project: {
_id: '$_id._id',
name: '$_id.name',
states: 1
}
}
])
Output:
[
{
"_id":"5d052c76df076d23a48d4a3b",
"name":"India",
"states":[
{
"_id":"5d2236c37ed1112b3cc41397",
"name":"Andaman and Nicobar Islands",
"countryId":"5d052c76df076d23a48d4a3b",
"cities":[
{
"name":"Port Blair",
"stateId":"5d2236c37ed1112b3cc41397"
}
]
},
{
"_id":"5d2236c37ed1112b3cc41398",
"name":"Andhra Pradesh",
"countryId":"5d052c76df076d23a48d4a3b",
"cities":[
{
"name":"Adoni",
"stateId":"5d2236c37ed1112b3cc41398"
}
]
}
]
}
]
Expected Output:
[
{
"_id":"5d052c76df076d23a48d4a3b",
"name":"India",
"states":[
{
"_id":"5d2236c37ed1112b3cc41397",
"name":"Andaman and Nicobar Islands",
"countryId":"5d052c76df076d23a48d4a3b",
"cities":[
{
"name":"Port Blair",
"stateId":"5d2236c37ed1112b3cc41397"
}
]
},
{
"_id":"5d2236c37ed1112b3cc41398",
"name":"Andhra Pradesh",
"countryId":"5d052c76df076d23a48d4a3b",
"cities":[
{
"name":"Adoni",
"stateId":"5d2236c37ed1112b3cc41398"
}
]
}
]
},
{
"_id":"5d052c76df076d23a48d4b07",
"name":"Indonesia",
"states":[
]
},
{
"_id":"5d052c76df076d23a48d22f4",
"name":"Iran",
"states":[
]
}
]
just add " preserveNullAndEmptyArrays: true " to $unwind
Country.aggregate([
{
$lookup:{
from: 'states',
localField:'_id',
foreignField:'countryId',
as:'states'
}
},
{
$unwind: {
path: "$states",
preserveNullAndEmptyArrays: true
}
},
{
$lookup:{
from: 'cities',
localField:'states._id',
foreignField:'stateId',
as:'states.cities'
}
},
{
$group: {
_id: {
_id: '$_id',
name: '$name'
},
states: {
$push: '$states'
}
}
},
{
$project: {
_id: '$_id._id',
name: '$_id.name',
states: 1
}
}
])
output
[
{
"states" : [
{
"cities" : []
}
],
"_id" : "5d052c76df076d23a48d22f4",
"name" : "Iran"
},
{
"states" : [
{
"cities" : []
}
],
"_id" : "5d052c76df076d23a48d4b07",
"name" : "Indonesia"
},
{
"states" : [
{
"_id" : "5d2236c37ed1112b3cc41397",
"name" : "Andaman and Nicobar Islands",
"countryId" : "5d052c76df076d23a48d4a3b",
"cities" : [
{
"_id" : ObjectId("5d38ccb6f9c5fa48bf099027"),
"name" : "Port Blair",
"stateId" : "5d2236c37ed1112b3cc41397"
}
]
},
{
"_id" : "5d2236c37ed1112b3cc41398",
"name" : "Andhra Pradesh",
"countryId" : "5d052c76df076d23a48d4a3b",
"cities" : [
{
"_id" : ObjectId("5d38ccbcf9c5fa48bf09902a"),
"name" : "Adoni",
"stateId" : "5d2236c37ed1112b3cc41398"
}
]
}
],
"_id" : "5d052c76df076d23a48d4a3b",
"name" : "India"
}
]