I currently have a Mongo query that looks like this:
const user = await User.findOne({ userId }).lean() || []
const contributions = await Launch.aggregate([
{ $sort: { addedAt: -1 } },
{ $limit: 10 },
{
$match: {
_id: { $in: user.contributions }
}
},
{
$addFields: {
activity: 'contribution',
launchName: '$name',
launchId: '$_id',
date: '$addedAt',
content: '$description'
}
}
])
But instead of having two different Mongo queries (findOne and aggregate), how can I combine them into one query?
I tried this but it just errors out immediately in the lookup part:
const contributions = await Launch.aggregate([
{ $sort: { addedAt: -1 } },
{ $limit: 10 },
{
$lookup: {
from: 'user',
let: { id: $user.contributions },
pipeline: [
{ $match: { $expr: { $in: [$_id, $$user.contributions] } } }
],
localField: '_id',
foreignField: 'userId',
as: 'user'
}
},
{
$addFields: {
activity: 'contribution',
launchName: '$name',
launchId: '$_id',
date: '$addedAt',
content: '$description'
}
}
])
I've never used the pipeline option so a little confused onn how to fix this problem?
Enclose these $user.contributions, $_id with quotes in order to make the query valid.
Since you declare the id variable with the value of user.contributions. You should use the variable with $$id instead of $$user.contributions.
I don't think the localField and foreignField are needed as you are mapping/joining with pipeline.
Your aggregation query should be looked as below:
const contributions = await Launch.aggregate([
{ $sort: { addedAt: -1 } },
{ $limit: 10 },
{
$lookup: {
from: 'user',
let: { id: "$user.contributions" },
pipeline: [
{ $match: { $expr: { $in: ["$_id", "$$id"] } } }
],
as: 'user'
}
},
{
$addFields: {
activity: 'contribution',
launchName: '$name',
launchId: '$_id',
date: '$addedAt',
content: '$description'
}
}
])
Related
hoping someone can help as I am truly stuck!
I have this query
SwapModel.aggregate([
{
$match: {
organisationId: mongoose.Types.ObjectId(organisationId),
matchId: null,
matchStatus: 0,
offers: {
$elemMatch: {
from: { $lte: new Date(from) },
to: { $gte: new Date(to) },
locations: { $elemMatch: { $eq: location } },
types: { $elemMatch: { $eq: type } },
},
},
//problem is HERE
$or: {
$map: {
input: "$offers",
as: "offer",
in: {
from: { $gte: new Date("$$offer.from") },
to: { $lte: new Date("$$offer.to") },
location: { $in: "$$offer.locations" },
type: { $in: "$$offer.types" },
},
},
},
},
},
{ ...swapUserLookup },
{ $unwind: "$matchedUser" },
{ $sort: { from: 1, to: 1 } },
]);
I'm trying to use the results of the $match document to generate an array for $or. My data looks like this:
[{
_id: ObjectId("id1"),
from: ISODate("2023-01-21T06:30:00.000Z"),
to: ISODate("2023-01-21T18:30:00.000Z"),
matchStatus: 0,
matchId: null,
userId: ObjectId("ddbb8f3c59cf13467cbd6a532"),
organisationId: ObjectId("246afaf417be1cfdcf55792be"),
location: "Chertsey",
type: "DCA",
offers: [{
from: ISODate("2023-01-23T05:00:00.000Z"),
to: ISODate("2023-01-24T07:00:00.000Z"),
locations: ["Chertsey", "Walton"],
types: ["DCA", "SRV"],
}]
}, {
_id: ObjectId("id2"),
from: ISODate("2023-01-23T06:30:00.000Z"),
to: ISODate("2023-01-23T18:30:00.000Z"),
matchStatus: 0,
matchId: null,
userId: ObjectId("d6f10351dd8cf3462e3867f56"),
organisationId: ObjectId("246afaf417be1cfdcf55792be"),
location: "Chertsey",
type: "DCA",
offers: [{
from: ISODate("2023-01-21T05:00:00.000Z"),
to: ISODate("2023-01-21T07:00:00.000Z"),
locations: ["Chertsey", "Walton"],
types: ["DCA", "SRV"],
}]
}]
I want the $or to match all documents that have the corresponding from/to/location/type as the current document - the idea is two shifts that could be swapped
If the offers are known (passed as an array to the function calling aggregate), I can do this with:
$or: offers.map((x) => ({
from: { $gte: new Date(x.from) },
to: { $lte: new Date(x.to) },
location: { $in: x.locations },
type: { $in: x.types },
}))
BUT I want to be able to do this in an aggregation pipeline when the offers will only be known from the current document, $offers
Is this possible? I've tried $in, $map, $lookup, $filter, $getField but can't get it right and can't get anything from Google as it thinks I want $in (which is the opposite of what I need).
I'm pretty new to MongoDB and am probably approaching this completely wrong but I'd really appreciate any help!
Edit: expected output is simply an array of matching documents, so passing document id1 to the function would return an array with id2 in, because each document is compatible with the other
///expected output, from and to are between an offer in id1's from and to, similarly types/locations are compatible
{
_id: ObjectId("id2"),
from: ISODate("2023-01-23T06:30:00.000Z"),
to: ISODate("2023-01-23T18:30:00.000Z"),
matchStatus: 0,
matchId: null,
userId: ObjectId("d6f10351dd8cf3462e3867f56"),
organisationId: ObjectId("246afaf417be1cfdcf55792be"),
location: "Chertsey",
type: "DCA",
offers: [{
from: ISODate("2023-01-21T05:00:00.000Z"),
to: ISODate("2023-01-21T07:00:00.000Z"),
locations: ["Chertsey", "Walton"],
types: ["DCA", "SRV"],
}]
You can perform self-lookup with your criteria set in the sub-pipeline.
db.collection.aggregate([
{
$match: {
organisationId: "organisationId1",
matchId: null,
matchStatus: 0
}
},
{
$unwind: "$offers"
},
{
"$lookup": {
"from": "collection",
"let": {
offersFrom: "$offers.from",
offersTo: "$offers.to",
offersLocation: "$offers.locations",
offersType: "$offers.types"
},
"pipeline": [
{
$match: {
$expr: {
$and: [
{
$gte: [
"$from",
"$$offersFrom"
]
},
{
$lte: [
"$to",
"$$offersTo"
]
},
{
"$in": [
"$location",
"$$offersLocation"
]
},
{
"$in": [
"$type",
"$$offersType"
]
},
]
}
}
}
],
"as": "selfLookup"
}
},
{
"$unwind": "$selfLookup"
},
{
"$replaceRoot": {
"newRoot": "$selfLookup"
}
}
])
Mongo Playground
I am struggling in Writing that fetches 4 Products of each category. What I have done is
exports.recentproducts = catchAsync(async (req, res, next) => {
const doc = await Product.aggregate([
{ $sort: { date: -1 } },
{
$replaceRoot: {
newRoot: {
$mergeObjects: [{ $arrayElemAt: ['$products', 0] }, '$$ROOT'],
},
},
},
{
$group: {
_id: '$productCategory',
products: { $push: '$$ROOT' },
},
},
{
$project: {
// pagination for products
products: {
$slice: ['$products', 4],
},
_id: 1,
},
},
{
$lookup: {
from: 'Shop',
localField: 'shopId',
foreignField: '_id',
as: 'shop',
},
},
]);
Document Model
const mongoose = require('mongoose');
var ProductSchema = mongoose.Schema({
title: {
type: String,
require: [true, 'Product must have a Title!'],
},
productCategory: {
type: String,
require: [true, 'Product must have a Category!'],
},
shopId: {
type: mongoose.Schema.ObjectId,
ref: 'Shop',
require: [true, 'Product must have a Shop!'],
},
});
var Product = mongoose.model('Product', ProductSchema);
module.exports = Product;
expected result---
result= [
{
productCategory: "Graphics",
products:[//4 products object here
{
must populate shop data
}
]
},
{
productCategory: "3d",
products:[//4 products object here]
},
//there are seven categories I have like that
]
The Code i have done is working fine but it has two problems
It does not populate shopId from Shop Model even through I have tried lookup
It does not sort products in descending order(does not sort by date)
There are few fixes in your implemented query,
$sort stage as it is,
$group stage as it is and moves to the second stage
$project stage as it is and move to third stage
$lookup with shop collection, pass products.shopId as localField
$project for merge shop object in products array
$map to iterate loop of products array
$filter to iterate loop of shop array return matching product
$arrayElemAt to get first element from above filtered result
$mergeOjects to merge current object with filtered shop object
const doc = await Product.aggregate([
{ $sort: { date: -1 } },
{
$group: {
_id: "$productCategory",
products: { $push: "$$ROOT" }
}
},
{
$project: {
products: { $slice: ["$products", 4] }
}
},
{
$lookup: {
from: "Shop",
localField: "products.shopId",
foreignField: "_id",
as: "shop"
}
},
{
$project: {
products: {
$map: {
input: "$products",
in: {
$mergeObjects: [
"$$this",
{
shop: {
$arrayElemAt: [
{
$filter: {
input: "$shop",
as: "s",
cond: { $eq: ["$$s._id", "$$this.shopId"] }
}
},
0
]
}
}
]
}
}
}
}
}
])
Playground
Query
in MongoDB 5 we can use $setWindowFields and $rank
partition by productCategory and sort by date descending
keep only rank <= 4 (4 latest products)
lookup to get the shop information
group by category and push all the information of product and shop
Test code here
Product.aggregate(
[{$setWindowFields:
{partitionBy:"$productCategory",
sortBy:{date:-1},
output:{rank:{$rank:{}}}}},
{$match:{rank:{$lte:4}}},
{$lookup:
{from:"Shop",
localField:"shopId",
foreignField:"_id",
as:"shop"}},
{$set:{shop:{$first:"$shop"}}},
{$group:{_id:"$productCategory", products:{$push:"$$ROOT"}}}])
I want to retrieve all information of a specific tv show episode including actors and director.
This is my tv show model.js:
const tvShowSchema = new Schema({
name: String,
year: Number,
country: String,
seasons: [{
number: Number,
year: Number,
episodes: [{
title: String,
number: Number,
releasedOn: Date,
description: String,
cast: [{
type: Schema.Types.ObjectId,
ref: 'actors'
}],
director: {
type: Schema.Types.ObjectId,
ref: 'directors'
}
},
{
timeStamps: true,
versionKey: false
}
]
}]
});
this is the tv show Routes.js:
router.get("/showid/tvepisodeid/:tvshowid/seasonid/:seasonId/episodeid/:episodeId",
tvShowsCtrl.getTvShowEpisode);
And this is the tv show controller.js:
import TVShow from "../models/TVShow";
import {
Types
} from "mongoose";
export const getTvShowEpisode = async (req, res) => {
try {
const id = req.params.id;
const seasonId = req.params.seasonId;
const episodeId = req.params.episodeId;
const tvShowEpisode = await TVShow.aggregate([
{
$match: {
"_id": Types.ObjectId(id),
"seasons._id": Types.ObjectId(seasonId),
"episodes._id": Types.ObjectId(episodeId)
}
}, {
$addFields: {
"isEpisode": {
$eq: ['$seasons.episodes', selectedEpisode]
}
}
}, {
$addFields: {
"cast.isEpisode": {
$eq: ['$seasons.episodes', selectedEpisode]
}
}
}, {
$lookup: {
from: 'actors',
localField: 'seasons.episodes.cast',
foreignField: '_id',
as: 'actors'
}
},
{
$addFields: {
"director.isEpisode": {
$eq: ['$seasons.episodes', selectedEpisode]
}
}
}, {
$lookup: {
from: 'directors',
localField: 'seasons.episodes.director',
foreignField: '_id',
as: 'director'
}
},
/* {$unwind: '$seasons'}, */
{
$match: {
"seasons._id": Types.ObjectId(seasonId)
}
}, {
$project: {
"_id": Types.ObjectId(id)
},
"episode": '$seasons.episodes'
}
]);
if (tvShowEpisode) {
res.send(tvShowEpisode);
} else {
res
.status(404)
.send({
mensaje: `tv show episode not found`
});
}
} catch (error) {
console.log(error);
res.status(500).send({
message: `error: \n\n${error}`
});
}
};
the expected output should be like this:
{
"seasons":[
"number":1,
"year":2019,
"episodes":[
"title":"the restaurant",
"number":2,
"releasedOn":"2019-05-10T14:00:00.025Z",
"description":"the restaurant is new",
"cast":[
{
"_id":"84834h4hrtbb54y4hu4u5h9",
"fullName":"Keith Price",
"age":25,
"nationality":"american"
},
{
"_id":"82j4hy43u45hu54huuh539",
"fullName":"Cindy Kat",
"age":28,
"nationality":"welsh"
}
],
"director":{
"_id":"urirnjr43u242344343",
"fullName":"maurice klossman",
"nationality":"polish"
}
]
]
}
How can I fixed these issues?, why the code is not working?, I want when I'm typing url passing respective parameters got the expected output but in postman I've got the message '500 Internal Server Error'.
I've got some issues. I've tried many ways using aggregate function to show only a specific show tv including actors and director but I don't know how to do to code works.
I'd like to know what is wrong with my tv show controller method.
The log error: "Arguments must be aggregate pipeline operators"
I'm doing a $lookup from a _id. So the result is always 1 document. Hence, I want the result to be an object instead an array with one item.
let query = mongoose.model('Discipline').aggregate([
{
$match: {
project: mongoose.Types.ObjectId(req.params.projectId)
},
},
{
$lookup: {
from: "typecategories",
localField: "typeCategory",
foreignField: "_id",
as: "typeCategory"
}
},
{
$project: {
title: 1, typeCategory: "$typeCategory[0]"
}
}
]);
This notation: "$typeCategory[0]" is not working. Is there any smart way of doing this?
You can just use $unwind. It deconstructs an array field from the input documents to output a document for each element
let query = mongoose.model('Discipline').aggregate([
{
$match: {
project: mongoose.Types.ObjectId(req.params.projectId)
},
},
{
$lookup: {
from: "typecategories",
localField: "typeCategory",
foreignField: "_id",
as: "typeCategory"
}
},
{$unwind: '$typeCategory'},
{
$project: {
title: 1, typeCategory: "$typeCategory"
}
}
]);
You can use $arrayElemAt in $project stage.
Syntax of $arrayElemAt is { $arrayElemAt: [ <array>, <idxexOfArray> ] }
like:
mongoose.model('Discipline').aggregate([
{
$match: {
project: mongoose.Types.ObjectId(req.params.projectId)
},
},
{
$lookup: {
from: "typecategories",
localField: "typeCategory",
foreignField: "_id",
as: "typeCategory"
}
},
{
$project: {
name: 1, typeCategory: {$arrayElemAt:["$typeCategory",0]}
}
}
]);
Use $first to return the first element in the array:
$project: {
title: 1,
typeCategory: {$first: "$typeCategory"}
}
For merging two collections:
{$replaceRoot: { newRoot: { $mergeObjects: [ { $arrayElemAt: [ "$typeCategory", 0 ] }, "$$ROOT" ] } } },
{ $project: { typeCategory: 0 } }
I have a document that looks as follows.
{
_id: "1234",
orderIds: [1,2,3,4,5]
}
I want to publish this document, however, I want to lookup and filter this reactively. With an aggregation in 3.2, it would be something like this:
var id = "1234"
db.users.aggregate([
{ $match: { _id: id } },
{ $unwind: '$orderIds' },
{
$lookup: {
from: 'orders',
as: 'orders',
localField: 'orderIds',
foreignField: '_id'
}
},
{ $match: { 'orders.status': { $ne: 'closed' } } },
{
$group: {
_id: "$_id",
orders: { $push: '$orders' }
}
}
])
However, I can't find a way to do this with plain publications, and mongo 2.6.7 that meteor ships with. Is there a way to do it?