NestJS mongoose aggregate $lookup .exec() check if there are no data - database

so my goal is when i make a requests to the database, check if theres no data returned from the database.
Can you help me? Thanks!
Heres my code:
let rqs: any = this.friendrequestModel
.aggregate([
{
$lookup: {
from: "users",
localField: "author",
foreignField: "_id",
as: "userdata",
// pipeline: [
// {
// $match: {
// friend_id: new mongoose.Types.ObjectId(userid)
// }
// }
// ],
},
},
])
.exec((err, data) => {
if (err) {
console.log(err);
}
if(!data){
console.log("No data returned")
}
});

Related

MongoDB aggregate nested objects

I have two collections in my mongoDb database, one called media, one called users.
Documents in the media collection:
{"_id":{"$oid":"6379204a8cf5677554c26c1b"},"_partition":"6378eb74f6613d5d4192da79","name":"silas test"}
{"_id":{"$oid":"6378eb74f6613d5d4192da79"},"_partition":"6378eb74f6613d5d4192da79","name":"test media"}
Document in the users collection:
{
"_id":{
"$oid":"6379ee6c770a8f43afc8e3e4"},
"_partition":"6378eb74f6613d5d4192da79",
"types":[
{
"mediaReference":[
{"$oid":"6379204a8cf5677554c26c1b"}
],
"mediatype":"podcast"
},
{
"mediaReference":[
{"$oid":"6378eb74f6613d5d4192da79"}
],
"mediatype":"movie"
}
],
"username":"silas"
}
Now im looking for a way to use the mongoDb aggregation pipeline to get the following result:
{
"_id":{
"$oid":"6379ee6c770a8f43afc8e3e4"},
"_partition":"6378eb74f6613d5d4192da79",
"types":[
{
"mediaReference":[
{
"_id": {
"$oid":"6379204a8cf5677554c26c1b"
},
"_partition":"6378eb74f6613d5d4192da79",
"name":"silas test"
}
],
"mediatype":"podcast"
},
{
"mediaReference":[
{
"_id": {
"$oid":"6378eb74f6613d5d4192da79"
},
"_partition":"6378eb74f6613d5d4192da79",
"name":"test media"
}
],
"mediatype":"movie"
}
],
"username":"silas"
}
Basically im searching for a way to paste the refferenced document into the mediaReference object inside the users document.
i would appreciate any help
EDIT:
I've found the solution:
db.users.aggregate([{
$unwind: {
path: '$types'
}
}, {
$lookup: {
from: 'media',
localField: 'types.mediaReference',
foreignField: '_id',
as: 'types.mediaReference'
}
}, {
$group: {
_id: '$_id',
merged: {
$first: '$$ROOT'
},
types: {
$push: '$types'
}
}
}, {
$addFields: {
'merged.types': '$types'
}
}, {
$replaceRoot: {
newRoot: '$merged'
}
}])

Deno aggregate with mongoDB using $lookup and $project

I am trying to connect two tables using aggregate in MongoDB and Deno using this library:
https://deno.land/x/mongo#v0.20.1
According to documentation, this is how we can use it.
// aggregation
const docs = await users.aggregate([
{ $match: { username: "many" } },
{ $group: { _id: "$username", total: { $sum: 1 } } },
]);
But there is no facility or scope to connect two different tables using $lookup and $project
Is there any other way to use lookup and project together in Deno?
This is how aggregation works in Deno and deno_mongo.
var data = Report.aggregate([
{
$lookup: {
from: "users",
localField: "senderId",
foreignField: "_id",
as: "sender",
},
},
{
$lookup: {
from: "users",
localField: "reportedId",
foreignField: "_id",
as: "reported",
},
},
{ $match: { status : 1 } },
{ $sort: { createdAt: 1} },
{ $skip: 10 },
{ $limit: 5 },
]).toArray();

How to use aggregate $lookup in nested data from mongoDB?

I have collections like this:
// tasks
[
{_id: '123', _user: '345', _solutions: ['567', '678'] }
]
// solutions
[
{ _id: '567', _task: '123', _user: '345' },
{ _id: '678', _task: '123', _user: '345' }
]
// users
[
{ _id: '345', name: 'Tom' }
]
With this code:
await db
.collection<Task>('tasks')
.aggregate([
{ $match: { _id: id } },
{
$lookup: {
from: 'solutions',
// I guess here should be pipeline
localField: '_solutions',
foreignField: '_id',
as: '_solutions',
},
},
{ $lookup: { from: 'users', localField: '_user', foreignField: '_id', as: '_user' } },
])
I have result as below:
task = {
_id: 5e14e877fa42402079e38e44,
_solutions: [
{
_id: 5e15022ccafcb4869c153e61,
_task: 5e14e877fa42402079e38e44,
_user: 5e007403fd4ca4f47df69913, <-- this should be userObject instead
},
{
_id: 5e164f31cafcb4869c153e62,
_task: 5e14e877fa42402079e38e44,
_user: 5e007403fd4ca4f47df69913, <-- this should be userObject instead
}
],
_user: [
{
_id: 5e007403fd4ca4f47df69913,
_solutions: [Array],
_tasks: [Array],
}
]
}
and I don't know how to $lookup into _solutions._user - so instead of objectId I will have exact user object.
You can run $lookup with custom pipeline for outer lookup and the regular one for users:
db.tasks.aggregate([
{
$match: {
_id: "123"
}
},
{
$lookup: {
from: "solutions",
let: { solutions: "$_solutions" },
pipeline: [
{ $match: { $expr: { $in: [ "$_id", "$$solutions" ] } } },
{
$lookup: {
from: "users",
localField: "_user",
foreignField: "_id",
as: "_user"
}
},
{ $unwind: "$_user" }
],
as: "_solutions",
}
}
])
Mongo Playground

MongoDB Aggregate ObjectId inside Array of embedded Documents

I have seen a ton of question about the $lookup aggregator for arrays of ObjectIds but I can't seem to find anything about when the ObjectId is inside an array of embedded documents.
I have the follow document inside a mongodb database:
_id: ObjectId('...')
Alarms: [
{
Gateway: ObjectId('...')
Port: 1
},
{
Gateway: ObjectId('...')
Port: 2
}
]
I would like to have the following:
_id: ObjectId('...')
Alarms [
{
Gateway: ...(Gateway Object),
Port: 1
},
{
Gateway: ...(Gateway Object),
Port: 2
}
]
I have tried the following with no success:
$lookup: {
from: 'Gateway',
localField: 'Alarms.Gateway',
foreignField: '_id',
as: 'Alarms.Gateway'
}
But this gives me the following result:
_id: ObjectId('...')
Alarms [
{
Gateway: {
...(Gateway Object)
}
Port: 1
}
]
Please try the below queries :
If you don't want the object which doesn't have match in Gateway collection exist in Alarms array in final result :
db.Alarms.aggregate([{ $unwind: '$Alarms' }, {
$lookup: {
from: 'Gateway',
localField: 'Alarms.Gateway',
foreignField: '_id',
as: 'Alarms.Gateway'
}
}, { $match: { 'Alarms.Gateway': { $ne: [] } } },
{ $addFields: { 'Alarms.Gateway': { $arrayElemAt: ['$Alarms.Gateway', 0] } } },
{ $group: { _id: '$_id', Alarms: { $push: '$Alarms' } } }
])
Test : MongoDB-Playground
Otherwise, if you want all objects in Alarms array to be returned irrespective of whether there is a match in Gateway or not :
db.Alarms.aggregate([{ $unwind: '$Alarms' }, {
$lookup: {
from: 'Gateway',
localField: 'Alarms.Gateway',
foreignField: '_id',
as: 'Alarms.GatewayObj'
}
}, { $addFields: { 'Alarms.Gateway': { $cond: [{ $ne: ['$Alarms.GatewayObj', []] }, { $arrayElemAt: ['$Alarms.GatewayObj', 0] }, '$Alarms.Gateway'] } } },
{ $project: { 'Alarms.GatewayObj': 0 } },
{ $group: { _id: '$_id', Alarms: { $push: '$Alarms' } } }
])
Test : MongoDB-Playground
Difference between two queries would be one will return below object in Alarms array (Vs) one don't.
{
"Gateway": ObjectId("5e2b5425d02e05b6940de2fb"),
"Port": 2
}

MongoDB - How to verify if a nested array item is contained in another nested array item on the same document?

The idea here is to return an array of documents of the users' followers with the information if this user is a friend of that follower or not.
So far I have:
db.getCollection('users').aggregate([
{ $match: { _id: ObjectId("588877d82523b4395039910a") } },
{ $lookup: {
from: 'users',
localField: 'followers',
foreignField: '_id',
as: 's_followers'
}
},
{
$project: {
"s_followers._id": 1,
"s_followers.isFriend": {
$in: ["s_followers.id",
{ $setIntersection: ["$friends", "$followers"] }
]}
}
}
])
But the "s_followers.id" used in the $in operator doesn't seem to retrieve the _id information from the follower, so it always returns false.
When I use a ObjectId directly, I got the result I want:
"s_followers.isFriend": {
$in: [ObjectId("588877d82523b4395039910a"),
{ $setIntersection: ["$friends", "$followers"] }
]}
But I really need this ID to be a reference to the follower _id.
Expected result would be something like:
{
"_id" : ObjectId("588877d82523b4395039910a"),
"s_followers" : [
{
"_id" : ObjectId("5888687e56be8f172844d96f"),
"isFriend" : true
},
{
"_id" : ObjectId("5888ca27d79b8b03949a6e8c"),
"isFriend" : false
}
]
}
Thanks for your help!
UPD: A different approach (maybe easier), would be to use the ID of the user that I have (the one used on $match), but I would still need to get the reference for the follower's follower array
db.getCollection('users').aggregate([
{ $match: { _id: ObjectId("588877d82523b4395039910a") } },
{ $lookup: {
from: 'users',
localField: 'followers',
foreignField: '_id',
as: 's_followers'
}
}, {
$project: {
"firstName": 1,
"s_followers._id": 1,
"s_followers.firstName": 1,
"s_followers.followers": 1,
"s_followers.isFriend": { $in: [ObjectId("588877d82523b4395039910a"), "$s_followers.followers"] }
}
}
])
UPD2: The user data structure (the part that matters)
{
followers: [{ type: mongoose.Schema.Types.ObjectId, ref: "User" }],
friends: [{ type: mongoose.Schema.Types.ObjectId, ref: "User" }],
}
FOR VERSION 3.4.0+
Ok, just got it, I'll post here the code and my understanding of it:
db.getCollection('users').aggregate([
{ $match: { _id: ObjectId("588877d82523b4395039910a") } },
{ $lookup: {
from: 'users',
localField: 'followers',
foreignField: '_id',
as: 's_followers'
}
}, {
$project: {
"firstName": 1,
"s_followers._id": 1,
"s_followers.firstName": 1,
"s_followers.followers": 1,
}
}, {
$unwind: "$s_followers"
}, {
$project: {
"firstName": "$s_followers.firstName",
"isFriend": { $in: [ObjectId("588877d82523b4395039910a"), "$s_followers.followers"] }
}
}
])
My understanding of it:
$match: match the user I'm intended to get the followers of.
$lookup: found each follower detail
$project: select the information I want to return, also get the follower list of each follower
$unwind: create a different document for each follower
With the array unwinded, I can refer to the follower's followers array, and find my object id in it :)
In my example use followers friends list to check current user is friend or not. as {$arrayElemAt:["$s_followers.friends",0]} if want to find in followers then can use "$s_followers.followers"
You can try it.
db.getCollection('user').aggregate([
{ $match: { _id: ObjectId("5714d190e6128b7e7f8d9008") } },
{$unwind:"$followers"},
{ $lookup: {
from: 'user',
localField: 'followers',
foreignField: '_id',
as: 's_followers'
}
},
{$project:{
firstName:1,
s_followers:{$arrayElemAt:["$s_followers",0]},
isFriend:{$cond:[{
$anyElementTrue:{
$map: {"input": {$arrayElemAt:["$s_followers.friends",0]},
"as": "el",
"in": { "$eq": [ "$$el", "$_id" ] }
}
}
},true,false]}
}
},
{$group:{
_id:"$_id",
s_followers:{$push:{_id:"$s_followers._id",isFriend:"$isFriend"}}
}
}
])

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