sort documents by their children in mongoose - javascript

I have a mongodb collection as follows:
[
{
"_id": { "$oid": "609b8f06a28f6728d19b486d" },
"user1": "609952c2b112741634d27d89",
"user2": "609b8202b5a389099cae3ce6",
"messages": [
{
"body": "Hello user 2",
"user": "609952c2b112741634d27d89",
"readed": true,
"created": { "$date": "2021-05-13T01:38:07.502Z" }
},
{
"body": "How old are you?",
"user": "609952c2b112741634d27d89",
"readed": false,
"created": "2021-05-13T01:40:07.502Z"
},
{
"body": "I am fine. Are you ready?",
"user": "609b8202b5a389099cae3ce6",
"readed": false,
"created": "2021-05-13T01:42:07.502Z"
},
{
"body": "Yes. Lighgui start",
"user": "609952c2b112741634d27d89",
"readed": false,
"created": "2021-05-13T01:38:50.502Z"
}
]
}
]
I want to sort chats that have messages up first how do I do that?
also if possible i would like to get the latest message of each chat and the number of messages with readed=false

You can use
$unwind to destructure the array
$sort to sort the array based on created of messages
$group to restructure the array
Here is the code
db.collection.aggregate([
{
$unwind: {
path: "$messages",
preserveNullAndEmptyArrays: true
}
},
{
"$sort": {"messages.created": 1 }
},
{
"$group": {
"_id": "$_id",
user1: { $first: "$user1" },
user2: { $first: "$user2" },
"messages": { "$push": "$messages" }
}
}
])
Working Mongo playground

Related

Aggregate framework returns empty array instead of single object (MongoDB/Mongoose)

I am building an api for a kanban task management app. I have this data stored in the database.
{
"_id": "62fa5aa25778ec97bc6ee231",
"user": "62f0eb5ebebd0f236abcaf9d",
"name": "Marketing Plan",
"columns": [
{
"name": "todo",
"_id": "62fa5aa25778ec97bc6ee233",
"tasks": [
{
"title": "Task Four testing 2",
"description": "This is task four",
"subtasks": [
{
"name": "wash dshes test",
"completed": false,
"_id": "62ff74bfe80b11ade2d34456"
},
{
"name": "do homework",
"completed": false,
"_id": "62ff74bfe80b11ade2d34457"
}
],
"_id": "62ff74bfe80b11ade2d34455"
}
]
},
{
"name": "doing",
"_id": "62fa5aa25778ec97bc6ee234",
"tasks": []
},
{
"name": "done",
"_id": "62fa5aa25778ec97bc6ee235",
"tasks": []
}
],
"__v":0
}
I tried to return a single object with the id of req.params.id which in this case is 62ff74bfe80b11ade2d34455 however, it returns an empty array instead of returning a single object.
const getTask = asyncHandler(async (req, res) => {
const task = await Board.aggregate([
{
$match: {
"columns.tasks._id": req.params.id,
},
},
{
$project: {
columns: {
$first: {
$filter: {
input: "$columns.tasks",
cond: {
$eq: ["$$this._id", req.params.id],
},
},
},
},
},
},
{
$replaceRoot: {
newRoot: "$columns",
},
},
]);
});
As #yung-shun suggested, I needed to cast req.params.id as an Object ID.
const task = await Board.aggregate([
{
$match: {
"columns.tasks._id": new ObjectId(req.params.id),
},
},
{ $unwind: "$columns" },
{
$match: {
"columns.tasks._id": new ObjectId(req.params.id),
},
},
{
$project: {
task: {
$first: {
$filter: {
input: "$columns.tasks",
cond: { $eq: ["$$this._id", new ObjectId(req.params.id)] },
},
},
},
},
},
{ $replaceWith: "$task" },
]);
res.status(200).json(task);

How to update nested object in array (Mongoose/MongoDB)

I've been struggling to get my around how to update a object in a nested array with a particular id. I've attempted to implement $set as shown below. I want to be able to update the task with an _id of 62ff74bfe80b11ade2d34455 with the data from the request body.
{
"_id": "62fa5aa25778ec97bc6ee231",
"user": "62f0eb5ebebd0f236abcaf9d",
"name": "Marketing Plan",
"columns": [
{
"name": "todo",
"_id": "62fa5aa25778ec97bc6ee233",
"tasks": [
{ ====> here
"title": "Task Four",
"description": "This is task four",
"subtasks": [
{
"name": "wash dshes",
"completed": false,
"_id": "62ff74bfe80b11ade2d34456"
},
{
"name": "do homework",
"completed": false,
"_id": "62ff74bfe80b11ade2d34457"
}
],
"_id": "62ff74bfe80b11ade2d34455"
}
]
},
{
"name": "doing",
"_id": "62fa5aa25778ec97bc6ee234",
"tasks": []
},
{
"name": "done",
"_id": "62fa5aa25778ec97bc6ee235",
"tasks": []
}
],
"__v": 0
}
const updatedTask = await Board.findOneAndUpdate(
{
"columns.tasks._id": req.params.id,
},
{ $set: { "columns.$.tasks": req.body } },
{ new: true }
);
You can use the positional operator in combination with an arrayfilter. Here's an example how you'd update a specific field of the relevant task:
db.collection.update({
"columns.tasks._id": req.params.id
},
{
"$set": {
"columns.$[].tasks.$[t].title": "it works"
}
},
{
"arrayFilters": [
{
"t._id": req.params.id
}
]
})
You can also try this on mongoplayground.
If you're looking for a way to replace the matching task object itself you can do:
db.collection.update({
"columns.tasks._id": req.params.id
},
{
"$set": {
"columns.$[].tasks.$[t]": req.body
}
},
{
"arrayFilters": [
{
"t._id": req.params.id
}
]
})

MongoDB : mongoose findbyidandupdate condition not working

I want to update an array in a document where array is array of user object.
The problem is i don't want to add duplicates in this array ( not the same user more than one time).
what i do :
const updatedTopic = await Topic.findByIdAndUpdate(
// #ts-ignore
{ _id: id, 'votes.user': { $ne: req.user?._id.valueOf() } },
// #ts-ignore
{ $push: { votes: { year, comment, user: req.user } } },
{ new: true }
);
But this isn't working as you can see below :
{
"name": "Argomento 1",
"exam": {
"$oid": "62b71b9dcaf3e92ac568c729"
},
"slug": "argomento-1",
"user": {
"$oid": "62534e5798a11bcba35464f6"
},
"votes": [
{
"year": 2022,
"comment": "",
"user": {
"$oid": "62b22fd314c40b9067f84cc2" -> same user
},
"_id": {
"$oid": "62b8bbcf876b2d27570fdf86"
}
},
{
"year": 2022,
"comment": "",
"user": {
"$oid": "62b22fd314c40b9067f84cc2" -> same user
},
"_id": {
"$oid": "62b8bbd5876b2d27570fdf89"
}
}
],
"createdAt": {
"$date": {
"$numberLong": "1656168790097"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1656274729989"
}
},
"__v": 0
}
I don't know why but changing findByIdAndUpdate to findOneAndUpdate works fine.
Probably findByIdAndUpdate checks only the id condition.

MongoDb return both matched results and matched results on subdocument

Hello i am trying to get my database to return both matched and empty results on a sub-document.
I am joining two tables using aggregate and lookup, below is the code
db.collection.aggregate([
{
$addFields: {
cut_off_date: { $toDate: "$shipment_cutoff_date" },
},
},
{
$lookup: {
from: "updates",
localField: "_id",
foreignField: "shipment_id",
as: "updates",
},
},
{
$match: {
"updates.description": { $ne: "All updates completed" },
},
},
]);
Challenge is i am trying to get All rows where all updates have been completed as well as all empty updates. If i remove the match parameters i get all the results including where the updates have been completed and i am trying to avoid doing a foreach after getting all my results.
Here is a snippet of the result without the match
{
"_id": "609927e31233700004370cfb",
"title": "Hello World",
"createdAt": "2021-05-10T12:32:35.799Z",
"updatedAt": "2021-05-10T15:58:59.149Z",
"updates": []
},
{
"_id": "60940ad73ced476b2d0b3626",
"createdAt": "2021-05-06T15:27:19.814Z",
"updatedAt": "2021-05-10T12:49:08.167Z",
"updates": [
{
"_id": "60952c0ed31c6283f302eb23",
"post_id": "60940ad73ced476b2d0b3626",
"description": "This is an update description",
"createdAt": "2021-05-07T12:01:18.815Z",
"updatedAt": "2021-05-07T12:01:18.815Z",
},
]
},
{
"_id": "60940ad73ced476b2d0b3626",
"createdAt": "2021-05-06T15:27:19.814Z",
"updatedAt": "2021-05-10T12:49:08.167Z",
"updates": [
{
"_id": "60952c0ed31c6283f302eb23",
"post_id": "60940ad73ced476b2d0b3626",
"description": "All updates completed",
"createdAt": "2021-05-07T12:01:18.815Z",
"updatedAt": "2021-05-07T12:01:18.815Z",
},
]
}
Here is a snippet of what i will like to achieve after the match
{
"_id": "609927e31233700004370cfb",
"title": "Hello World",
"createdAt": "2021-05-10T12:32:35.799Z",
"updatedAt": "2021-05-10T15:58:59.149Z",
"updates": []
},
{
"_id": "60940ad73ced476b2d0b3626",
"createdAt": "2021-05-06T15:27:19.814Z",
"updatedAt": "2021-05-10T12:49:08.167Z",
"updates": [
{
"_id": "60952c0ed31c6283f302eb23",
"post_id": "60940ad73ced476b2d0b3626",
"description": "This is an update description",
"createdAt": "2021-05-07T12:01:18.815Z",
"updatedAt": "2021-05-07T12:01:18.815Z",
},
]
},
I am trying to get the results without the section where update description is not "All updates completed
Any help here please, MondoDb version is 4+
You can use $filter
$facet to categorize incoming doucment into two. 1. updates == empty array and 2. update != empty array
$redact use to keep or eliminate the document based on the condition we give
$concatArray to combined to both arrays which were produced after $facet
$unwind to deconstruct the array
$replaceRoot to make to root
He is the script
db.collection.aggregate([
{
"$facet": {
"emptyUpdates": [
{
"$match": {
$expr: { $eq: [ "$updates", [] ] }
}
}
],
"withoutUpdate": [
{
"$match": {
$expr: { $ne: [ "$updates", [] ] }
}
},
{
"$redact": {
"$cond": [
{
"$anyElementTrue": {
"$filter": {
"input": "$updates",
"cond": {
$eq: [ "$$this.description","All updates completed" ]
}
}
}
},
"$$PRUNE",
"$$KEEP",
]
}
}
]
}
},
{
"$project": {
combined: {
"$concatArrays": ["$emptyUpdates", "$withoutUpdate" ]
}
}
},
{ "$unwind": "$combined" },
{
"$replaceRoot": {"newRoot": "$combined" }
}
])
Working Mongo playground
Let me know anything goes wrong

How to list unique values ​in a MongoDB collection if the values ​are arrays of objects?

I need to output a list of unique values in a collection. I've used the distinct method when the values are either a string or a number. But in this situation, the values are an array of objects.
The simplified model looks like this:
const mongoose = require('mongoose');
const ItemModel = mongoose.Schema({
category: [{
lang: String,
text: String
}],
discount: {
type: String,
required: true
},
date: {
type: Date,
default: Date.now
}
});
module.exports = mongoose.model('Items', ItemModel);
A typical find() query without parameters produces this result:
[
{
"_id": "5fd8712b374a9a1410f786bf",
"category": [
{
"_id": "5fd8712b374a9a1410f786c2",
"lang": "RU",
"text": "Домашняя одежда"
},
{
"_id": "5fd8712b374a9a1410f786c3",
"lang": "EN",
"text": "Homewear"
}
],
"discount": "45%",
"date": "2020-12-12T11:12:37.811Z",
"__v": 0
},
{
"_id": "5fd4a5b95e1a251ac96b2e08",
"category": [
{
"_id": "5fd4a5b95e1a251ac96b2e0b",
"lang": "RU",
"text": "Домашняя одежда"
},
{
"_id": "5fd4a5b95e1a251ac96b2e0c",
"lang": "EN",
"text": "Homewear"
}
],
"discount": "35%",
"date": "2020-12-12T11:12:37.811Z",
"__v": 0
},
{
"_id": "5fd49e415e1a251ac96b2dfc",
"category": [
{
"_id": "5fd49e415e1a251ac96b2dff",
"lang": "RU",
"text": "Активный отдых"
},
{
"_id": "5fd49e415e1a251ac96b2e00",
"lang": "EN",
"text": "Active"
}
],
"discount": "50%",
"date": "2020-12-12T10:06:53.120Z",
"__v": 0
}
]
I need to output a list of unique "category.text" values where "lang" equals "EN". At the output, we should get an array like this:
[ "Active", "Homewear" ]
How to do it the right way, with good performance?
Regards.
You can use aggregation pipeline,
$unwind to deconstruct category array
$match category.lang is EN
$group by null, and get unique text using $addToSet
StockModel.aggregate([
{ $unwind: "$category" },
{ $match: { "category.lang": "EN" } },
{
$group: {
_id: null,
test: { $addToSet: "$category.text" }
}
}
])
Playground
use aggregation :
take a look at the example below :
StockModel.aggregate([
{
$group: {
_id: 0,
title: { $addToSet: '$title' },
stock_id: { $addToSet: '$stock_id' },
},
},
]);
with aggregation $group you can distinct your collections via filter.

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