Enrich array of objects with another document based on a condition - mongodb

Given two collections users and activities, I want to enrich users.friends.user with all relevant activities, such that users.friends.user matches doc2.invitations.userId.
Below describes exactly what I would like:
user f24b189f-9e00-4d2b-b7f2-148a265fae7c is not a part of any activity, so their activities array is [].
user 223f2e04-6f0c-40a3-a88a-69d0127f2e92 is a part of an activity, so their activities array is populated with the activity object.
Raw:
db={
"users": [
{
"_id": "9c69a57f-e90a-43be-b559-449e973c6cba",
"__v": {
"$numberInt": "0"
},
"friends": [
{
"status": "ACCEPTED",
"user": "f24b189f-9e00-4d2b-b7f2-148a265fae7c"
},
{
"status": "ACCEPTED",
"user": "223f2e04-6f0c-40a3-a88a-69d0127f2e92"
}
]
}
],
"activities": [
{
"_id": {
"$oid": "63a92531bc6dea668f93bb06"
},
"invitations": [
{
"_id": {
"$oid": "63a92531bc6dea668f93bb07"
},
"userId": "9c69a57f-e90a-43be-b559-449e973c6cba",
"status": "ACCEPTED"
},
{
"_id": {
"$oid": "63a92544bc6dea668f93bb09"
},
"userId": "223f2e04-6f0c-40a3-a88a-69d0127f2e92",
"status": "ACCEPTED"
},
],
"__v": {
"$numberInt": "0"
}
}
]
}
Expected result:
"expectedResult": [
{
"_id": "9c69a57f-e90a-43be-b559-449e973c6cba",
"__v": {
"$numberInt": "0"
},
"friends": [
{
"status": "ACCEPTED",
"activities": [{
"_id": {
"$oid": "63a92531bc6dea668f93bb06"
},
"invitations": [
{
"_id": {
"$oid": "63a92531bc6dea668f93bb07"
},
"userId": "9c69a57f-e90a-43be-b559-449e973c6cba",
"status": "ACCEPTED"
},
{
"_id": {
"$oid": "63a92544bc6dea668f93bb09"
},
"userId": "223f2e04-6f0c-40a3-a88a-69d0127f2e92",
"status": "ACCEPTED"
},
],
"__v": {
"$numberInt": "0"
}
}]
},
{
"status": "ACCEPTED",
"activities": []
}
]
}
]
And here's a link to the playground.
I played around with aggregate and populate, but this use case is unlike a regular "join", which is throwing me off. Any pointers will be appreciated.

Related

springboot monogdb update nested document

Document Structure
{
"_id": {
"$oid": "61e6e300f78f707b9c3ec32f"
},
"userId": "61d51daa0e09c2a97f11c81d",
"services": [
{
"sId": "62036c3cde7ac3b60203bdb5",
"status": 1,
"permissionGroups": [
{
"pgId": "61e52858b6d31433bb7faf6c",
"status": 1,
"permissions": [
{
"pId": "61e3f5891e0b130b3a228ff0",
"status": 1
},
{
"pId": "61e4ec54974ad2600b58f2ad",
"status": 1
},
{
"pId": "61e4ec54974ad2600b58f2ae",
"status": 1
}
]
},
{
"pgId": "61e8456e5b1359cb2b89888c",
"status": 1,
"permissions": [
{
"pId": "61e5086fd3af37389f1ba2a0",
"status": 1
},
{
"pId": "61e50870d3af37389f1ba2a1",
"status": 1
},
{
"pId": "61e52313f1a85a169f4f9afd",
"status": 1
},
{
"pId": "61e525c4f1a85a169f4f9b00",
"status": 1
}
]
}
]
}
]
}
Im trying to update a field in the nested document (above mentioned) using mongo query in springboot. my purpose is to update the field called status inside permissions array. i know the query to update it using mongo shell, can someone help me convert the query to java or suggest me a way to do the same.
db.customer_service_details.update(
{
"userId": "61d51daa0e09c2a97f11c81d",
"services": {
"$elemMatch": {
"sId": "62036c3cde7ac3b60203bdb5","permissionGroups.pgId": "61e52858b6d31433bb7faf6c","permissionGroups.permissions.pId":"61e3f5891e0b130b3a228ff0"
}
}
},
{
"$set": { "services.$[outer].permissionGroups.$[inner].permissions.$[inner3].status": "7899" }
},
{
"arrayFilters": [{ "outer.sId": "62036c3cde7ac3b60203bdb5" },{ "inner.pgId": "61e52858b6d31433bb7faf6c" },{"inner3.pId":"61e3f5891e0b130b3a228ff0"}]
}
)

mongodb:complex nested aggregation

I have this collection:
[
{
"_id": {
"$oid": "60b22e1dbd46fa18a8308318"
},
"title": "basketball",
"price": 12,
"category": "Furniture",
"description": "",
"images": [
"http://res.cloudinary.com/hadarush100/image/upload/v1622289949/nfg948x3zro6gbiuknrz.jpg"
],
"categoryId": 1,
"userId": "60ad16493062eb11141d4927",
"createdAt": 1622289948232,
"chats": [
{
"id": 1,
"createdAt": 1622289948232,
"messages": [
{
"id": "1",
"createdAt": 1622289948232,
"senderId": "60ad16493062eb11141d4927",
"text": "Hello, Im the seller of this product."
}
]
},
{
"id": "2",
"createdAt": 1622289948232,
"messages": [
{
"id": 1,
"createdAt": 1622289948232,
"senderId": "60ad16493062eb11141d4927",
"text": "Hello, Im the seller of this product."
}
]
}
]
}
]
and i want to find specific document (by _id), then dive into specific chat in this document (by id), than use $lookup for replacing the "senderId" property in each message with a "sender" property that contains the full sender details (as a user), that exist in another collection (users). the result needs to look like this:
[
{
"_id": {
"$oid": "60b22e1dbd46fa18a8308318"
},
"title": "basketball",
"price": 12,
"category": "Furniture",
"description": "",
"images": [
"http://res.cloudinary.com/hadarush100/image/upload/v1622289949/nfg948x3zro6gbiuknrz.jpg"
],
"categoryId": 1,
"userId": "60ad16493062eb11141d4927",
"createdAt": 1622289948232,
"chats": [
{
"id": 1,
"createdAt": 1622289948232,
"messages": [
{
"id": "1",
"createdAt": 1622289948232,
"sender": {
"_id": {
"$oid": "60ad16493062eb11141d4927"
},
"username": "hadar",
"email": "hadarushha#gmail.com",
"profileImgUrl": "https://randomuser.me/api/portraits/men/79.jpg",
"createdAt": 1621956168518
},
"text": "Hello, Im the seller of this product."
}
]
},
{
"id": "2",
"createdAt": 1622289948232,
"messages": [
{
"id": 1,
"createdAt": 1622289948232,
"sender": {
"_id": {
"$oid": "60ad16493062eb11141d4927"
},
"username": "hadar",
"email": "hadarushha#gmail.com",
"profileImgUrl": "https://randomuser.me/api/portraits/men/79.jpg",
"createdAt": 1621956168518
},
"text": "Hello, Im the seller of this product."
}
]
}
]
}
]
You can use this aggregation:
$match to filter only selected document (_id)
$unwind multiple time to transform arrays into objects
$lookup to query external collection (users)
$group in reverse order
I assumed that your collections are more or less like this (next time, post both collections and also an example on a working playground)
db={
"products": [
{
"_id": {
"$oid": "60b22e1dbd46fa18a8308318"
},
"title": "basketball",
"price": 12,
"category": "Furniture",
"description": "",
"images": [
"http://res.cloudinary.com/hadarush100/image/upload/v1622289949/nfg948x3zro6gbiuknrz.jpg"
],
"categoryId": 1,
"userId": "60ad16493062eb11141d4927",
"createdAt": 1622289948232,
"chats": [
{
"id": 1,
"createdAt": 1622289948232,
"messages": [
{
"id": "1",
"createdAt": 1622289948232,
"senderId": "60ad16493062eb11141d4927",
"text": "Hello, Im the seller of this product."
}
]
},
{
"id": "2",
"createdAt": 1622289948232,
"messages": [
{
"id": 1,
"createdAt": 1622289948232,
"senderId": "60ad16493062eb11141d4927",
"text": "Hello, Im the seller of this product."
}
]
}
]
},
{
"_id": {
"$oid": "60b22e1dbd46fa18a8308319"
},
"title": "volleyball",
"price": 8,
"category": "Furniture",
"description": "",
"images": [
"http://res.cloudinary.com/hadarush100/image/upload/v1622289949/nfg948x3zro6gbiuknrz.jpg"
],
"categoryId": 1,
"userId": "60ad16493062eb11141d4927",
"createdAt": 1622289948232,
"chats": [
{
"id": 1,
"createdAt": 1622289948232,
"messages": [
{
"id": "1",
"createdAt": 1622289948232,
"senderId": "60ad16493062eb11141d4927",
"text": "Hello, Im the seller of this product."
}
]
},
{
"id": "2",
"createdAt": 1622289948232,
"messages": [
{
"id": 1,
"createdAt": 1622289948232,
"senderId": "60ad16493062eb11141d4928",
"text": "Hello, Im the seller of this product."
}
]
}
]
}
],
"users": [
{
"_id": {
"$oid": "60ad16493062eb11141d4927"
},
"username": "hadar",
"email": "hadarushha#gmail.com",
"profileImgUrl": "https://randomuser.me/api/portraits/men/79.jpg",
"createdAt": 1621956168518
},
{
"_id": {
"$oid": "60ad16493062eb11141d4928"
},
"username": "test",
"email": "test#gmail.com",
"profileImgUrl": "https://randomuser.me/api/portraits/men/49.jpg",
"createdAt": 1621956168528
},
]
}
And here is the working aggregation:
db.products.aggregate([
{
"$match": {
"_id": {
"$oid": "60b22e1dbd46fa18a8308319"
}
}
},
{
"$unwind": "$chats"
},
{
"$unwind": "$chats.messages"
},
{
"$addFields": {
"chats.messages.senderIdObjId": {
"$convert": {
"input": "$chats.messages.senderId",
"to": "objectId",
}
}
}
},
{
"$lookup": {
"from": "users",
"localField": "chats.messages.senderIdObjId",
"foreignField": "_id",
"as": "chats.messages.sender"
}
},
{
"$unwind": "$chats.messages.sender"
},
{
"$group": {
"_id": "$chats.id",
"messages": {
"$push": "$chats.messages"
},
"allFields": {
"$first": "$$ROOT"
}
}
},
{
"$addFields": {
"allFields.chats.messages": "$messages"
}
},
{
"$replaceWith": "$allFields"
},
{
"$group": {
"_id": "$_id",
"chats": {
"$push": "$chats"
},
"allFields": {
"$first": "$$ROOT"
}
}
},
{
"$addFields": {
"allFields.chats": "$chats"
}
},
{
"$replaceWith": "$allFields"
},
])
Working Playground here

MongoDb extract array

I have a mongodb which I want to extract some specific data.
Here is my json:
{
"jobs" : [
{
"id": 554523,
"code": "1256-554523",
"name": "Banco de Talentos",
"status": "published",
"type": "vacancy_type_effective",
"publicationType": "external",
"numVacancies": 1,
"departmentId": 108141,
"departmentName": "FUTURAS OPORTUNIDADES",
"roleId": 169970,
"roleName": "BANCO DE TALENTOS",
"createdAt": "2020-10-30T12:23:48.572Z",
"updatedAt": "2020-12-30T23:21:30.403Z",
"branchId": null,
"branchName": null
},
{
"id": 616834,
"code": "1256-616834",
"name": "YYYYYY (o) YYYYY",
"status": "frozen",
"type": "vacancy_type_effective",
"publicationType": "external",
"numVacancies": 1,
"departmentId": 109190,
"departmentName": "TESTE TESTE",
"roleId": 165712,
"roleName": "SL - TESTE PL",
"createdAt": "2020-12-16T14:17:36.187Z",
"updatedAt": "2021-01-29T17:08:43.613Z",
"branchId": 120448,
"branchName": "TESTE TESTE1"
}
],
"application": [
{
"id": 50707344,
"score": 40.251965332031254,
"partnerName": "indeed",
"endedAt": null,
"createdAt": "2020-12-21T11:21:30.587Z",
"updatedAt": "2021-02-18T22:02:35.866Z",
"tags": {},
"candidate": {
"birthdate": "1986-04-04",
"id": 578615,
"name": "TESTE",
"lastName": "TESTE TESTE",
"email": "teste#teste.com.br",
"identificationDocument": "34356792807",
"countryOfOrigin": "BR",
"linkedinProfileUrl": "teste",
"gender": "female",
"mobileNumber": "+5511972319799",
"phoneNumber": "(11)2463-2039"
},
"job": {
"id": 619713,
"name": "XXXXde XXXX Pleno"
},
"manualCandidate": null,
"currentStep": {
"id": 3527370,
"name": "Cadastro",
"status": "done"
}
},
{
"id": 50707915,
"score": 3.75547943115234E+1,
"partnerName": "indeed",
"endedAt": null,
"createdAt": "2020-12-21T11:31:31.877Z",
"updatedAt": "2021-02-18T14:07:06.605Z",
"tags": {},
"candidate": {
"birthdate": "1971-10-02",
"id": 919358,
"name": "TESTE TESTE",
"lastName": "SILVA",
"email": "teste.teste#teste.com",
"identificationDocument": "3232323232",
"countryOfOrigin": "BR",
"linkedinProfileUrl": "teste/",
"gender": "female",
"mobileNumber": "11 94021- 5521",
"phoneNumber": "+5511995685247"
},
"job": {
"id": 619713,
"name": "Analista de XXXXX Pleno"
},
"manualCandidate": null,
"currentStep": {
"id": 3527370,
"name": "Cadastro",
"status": "done"
}
}
]
}
My question is: How can I extract only the array objects in jobs and application separately? Anyone knows the code in Mongodb for do this?
I need do this task for after I can insert the extract separated data in different collections.
Thanks a lot.
Unfortunately there is no real "good" way of doing this. Here is an example of how I would do it by using $facet and other operators to manipulate the structure
db.collection.aggregate([
{
$match: {
/** your query*/
}
},
{
$facet: {
jobs: [
{
$unwind: "$jobs"
},
{
$replaceRoot: {
newRoot: "$jobs"
}
}
],
applications: [
{
$unwind: "$application"
},
{
$replaceRoot: {
newRoot: "$application"
}
}
]
}
},
{
$addFields: {
"merged": {
"$concatArrays": [
"$jobs",
"$applications"
]
}
}
},
{
$unwind: "$merged"
},
{
"$replaceRoot": {
"newRoot": "$merged"
}
}
])
Mongo Playground
I would personally just do it in code after you fetched the document.

check if a field of type array contains an array

Im using mongoose, I have the following data of user collection:
[{
"_id": "1",
"notes": [
{
"value": "A90",
"text": "math"
},
{
"value": "A80",
"text": "english"
},
{
"value": "A70",
"text": "art"
}
]
},
{
"_id": "2",
"notes": [
{
"value": "A90",
"text": "math"
},
{
"value": "A80",
"text": "english"
}
]
},
{
"_id": "3",
"notes": [
{
"value": "A80",
"text": "art"
}
]
}]
and I have as a parameters the following array: [ "A90", "A80" ]
so I want to make a query to use this array to return only the records that have all the array items in the notes (value) table.
So for the example above it will return:
[{
"_id": "1",
"notes": [
{
"value": "A90",
"text": "math"
},
{
"value": "A80",
"text": "english"
},
{
"value": "A70",
"text": "art"
}
]
},
{
"_id": "2",
"notes": [
{
"value": "A90",
"text": "math"
},
{
"value": "A80",
"text": "english"
}
]
}]
I tried the following find query:
{ "notes": { $elemMatch: { value: { $in: valuesArray } } }}
but it returns a record even if just one element in valuesArray exist.
it turned out to be quite easy:
find({ "notes.value": { $all: arrayValues } })

Find and Update Inner Array - MongoDB

{
"_id": {
"$oid": "5a99553c1b4a1b0922039e73"
},
"date_added": {
"$date": "2018-03-02T13:42:36.684Z"
},
"title": "Black Panther",
"__v": 14,
"alls": [
{
"name": "Mbezi",
"geocoordinates": "-6.8140361,39.2775983",
"region": "Dar es salaam",
"times": "",
"_id": {
"$oid": "5a9c74885980731a35a013b2"
}
},
{
"name": "DFM",
"geocoordinates": "-6.7726935,39.2196418",
"region": "Dar es salaam",
"times": "",
"_id": {
"$oid": "5a9c7f61bb57291a81d8309e"
}
}
]
}
How can i find alls name equals to "Mbezi" and update times to a certain value? Any links that can help me will be appreciated..