I am using includeArrayIndex to add the rank based on sorting
Here is the aggregation query
dbo.collection("funds").aggregate([
{
"$sort": {
"amount": -1
}
},
{
"$group": {
"_id": "",
"items": {
"$push": "$$ROOT"
}
}
},
{
"$unwind": {
"path": "$items",
"includeArrayIndex": "items.rank"
}
},
{
"$replaceRoot": {
"newRoot": "$items"
}
},
{
"$sort": {
"rank": -1
}
}
])
and this assign the rank field but starting from 0, is there any way to start it from 1
tried with set like this
[
{
'$sort': {
'amount': -1
}
}, {
'$group': {
'_id': '',
'items': {
'$push': '$$ROOT'
}
}
}, {
'$unwind': {
'path': '$items',
'includeArrayIndex': 'items.rank'
}
}, {
'$replaceRoot': {
'newRoot': '$items'
}
},
{
'$set': {
'rank': {
'$add': [
'$rank', 1
]
}
}
},
// {
// '$sort': {
// 'rank': 1
// }
// }
]
in the mongodb compass aggregation tab it shows that field got added but when i run this script using nodejs it does not add the rank field
even i tried with
const a = await dbo.collection("funds").aggregate(
[
{
'$sort': {
'amount': 1
}
}, {
'$group': {
'_id': '',
'items': {
'$push': '$$ROOT'
}
}
}, {
'$unwind': {
'path': '$items',
'includeArrayIndex': 'items.rank'
}
}, {
'$replaceRoot': {
'newRoot': '$items'
}
},
{
'$addFields': {
'rank': {
'$add': [
'$rank', 1
]
}
}
}
]
).toArray();
and this even prints on console as a
[
{ _id: new ObjectId("6220d2fe20e33d48c865b720"), amount: 1, rank: 1 },
{
_id: new ObjectId("6220d2cf20e33d48c865b71e"),
amount: 10,
rank: 2
},
{
_id: new ObjectId("6220d2f520e33d48c865b71f"),
amount: 12,
rank: 3
}
]
and then tried with $setWindowFields
dbo.collection("funds").aggregate( [
{
$setWindowFields: {
sortBy: { amount: -1 },
output: {
rank: {
$rank: {}
}
}
}
}
] )
but it shows
err MongoServerError: Unrecognized pipeline stage name: '$setWindowFields'
Sample document is like
[
{amount : 20, name :""},
{amount : 22, name :""}
]
Not sure if this was already answered. But you just have to add { $out: "funds" }
at the last of your code. PFB the working code ...
const a = await dbo.collection("funds").aggregate(
[
{
'$sort': {
'amount': 1
}
}, {
'$group': {
'_id': '',
'items': {
'$push': '$$ROOT'
}
}
}, {
'$unwind': {
'path': '$items',
'includeArrayIndex': 'items.rank'
}
}, {
'$replaceRoot': {
'newRoot': '$items'
}
},
{
'$addFields': {
'rank': {
'$add': [
'$rank', 1
]
}
}
},
{ $out: "funds" }
], {allowDiskUse:true}
).toArray();
Related
I have the following document structure which contains an array of votes:
{ _id: ObjectId("6350e2c1a15e0e656f4a7472"),
category: 'business',
votes:
[ { voteType: 'like',
userId: ObjectId("62314007da34df3f32f7cfc0") },
{ voteType: 'like',
userId: ObjectId("6356b5cbe2272ebf628451b") } ] }
What I would like to achieve is to add for each document the sum of votes for which voteType = like, while keeping the original document, such as:
[ [{ _id: ObjectId("6350e2c1a15e0e656f4a7472"),
category: 'business',
votes:
[ { voteType: 'like',
userId: ObjectId("62314007da34df3f32f7cfc0") },
{ voteType: 'like',
userId: ObjectId("6356b5cbe2272ebf628451b") } ] }, {sum: 2, voteType: "like"} ], ...]
At the moment, the only workaround that I found is through an aggregation although I cannot manage to keep the original documents in the results:
db.getCollection('MyDocument') .aggregate([ {
$unwind: "$votes" }, {
$match: {
"votes.voteType": "like",
} }, {
$group: {
_id: {
name: "$_id",
type: "$votes.voteType"
},
count: {
$sum: 1
}
} },
{ $sort : { "count" : -1 } }, {$limit : 5}
])
which gives me:
{ _id: { name: ObjectId("635004f1b96e494947caaa5e"), type: 'like' },
count: 3 }
{ _id: { name: ObjectId("63500456b96e494947cbd448"), type: 'like' },
count: 3 }
{ _id: { name: ObjectId("63500353b6c7eb0a01df268e"), type: 'like' },
count: 2 }
{ _id: { name: ObjectId("634e315bb7d17339f8077c39"), type: 'like' },
count: 1 }
You can do it like this:
$cond with $isArray - to check if the votes property is of the type array.
$filter - to filter votes based on voteType property.
$size - to get the sized of the filtered array.
db.collection.aggregate([
{
"$set": {
"count": {
"$cond": {
"if": {
"$isArray": "$votes"
},
"then": {
"$size": {
"$filter": {
"input": "$votes",
"cond": {
"$eq": [
"$$this.voteType",
"like"
]
}
}
}
},
"else": 0
}
}
}
}
])
Working example
In my MongoDB database, I have a collection 'produits' with documents like this
{
"_id": {
"$oid": "6048e97b4a5f000096007505"
},
"modeles": [
{
"id": "OppoA3",
"pieces": [
{
"id": "OppoA3avn"
},
{
"id": "OppoA3bat"
}]
]
},
{
"id": "OppoA1",
"pieces": [
{
"id": "OppoA1avn",
},
{
"id": "OppoA1batt",
}
]
}
]
}
How can I delete all modeles.pieces from all my documents.
I managed to delete with a filter on modeles.id but with that code but not on all the collection
db.produits.update(
{marque_id:'OPPO', 'modeles.id':'RENOZ'},
{$set:
{
'modeles.$.pieces': []
}
}
, { multi : true }
)
I would like all documents like this finally
{
"_id": {
"$oid": "6048e97b4a5f000096007505"
},
"modeles": [
{
"id": "OppoA3",
"pieces": []
},
{
"id": "OppoA1",
"pieces": []
}
]
}
Thank you for your help.
I have done a javascript loop like this, but i think it's not best practice
async removePieces(){
var doc
try {
doc = await produitModel.find()
for (var produit of doc) {
for (var modele of produit.modeles) {
const filter = {'marque_id': produit.marque_id, 'modeles.id': modele.id}
const set = {
$set: {
'modeles.$.pieces': []
}
}
await db.collection('produits').updateOne(filter, set)
}
}
console.log('removePieces() ==> Terminé')
} catch(err) {
console.log(err)
}
}
db.produits.update({
modeles: {//This is because your second document will create failure otherwise
$exists: true
}
},
{
$set: {
"modeles.$.pieces": []
}
},
{
multi: true
})
I want to make an upsert call to update as well as insert my data in nested array of mongo db.
This is my mongo document.
{
"_id" : "575",
"_class" : "com.spyne.sharing.SpyneShareUserProject",
"spyneSharePhotoList" : [
{
"_id" : "fxLO68XyMR",
"spyneShareUsers" : [
{
"_id" : "chittaranjan#eventila.com",
"selectedByClient" : false
},
{
"_id" : "chittaranjan#gmail.com",
"selectedByClient" : false
}
]
},
{
"_id" : "nVpD0KoQAI",
"spyneShareUsers" : [
{
"_id" : "chittaranjan#eventila.com",
"selectedByClient" : true
}
]
},
{
"_id" : "Pm0B3Q9Igv",
"spyneShareUsers" : [
{
"_id" : "chittaranjan#gmail.com",
"selectedByClient" : true
}
]
}
]
}
Here my requirement is,
lets say i have an ID i.e. 575 (_id)
Then i will have the nested array ID i.e. fxLO68XyMR (spyneSharePhotoList._id)
Then i will have nested email id as ID i.e. chittaranjan#eventila.com (spyneSharePhotoList.spyneShareUsers._id) and selectedByClient (boolean)
Now i want is to check if this ID (spyneSharePhotoList.spyneShareUsers._id) is already present in the desired location i want to update the boolean value i.e. selectedByClient (true / false) according to that email id.
If the id is not present in the array, the it will make a new entry. as
{
"_id" : "chittaranjan#gmail.com",
"selectedByClient" : false
}
in spyneShareUsers list.
Please help me to do this task. Thank you
Most likely this is not the smartest solution, but it should work:
shareUserProject = {
id: "575",
PhotoListId: "fxLO68XyMR",
ShareUserId: "chittaranjan_new#eventila.com"
}
db.collection.aggregate([
{ $match: { _id: shareUserProject.id } },
{
$facet: {
root: [{ $match: {} }],
update: [
{ $unwind: "$spyneSharePhotoList" },
{ $match: { "spyneSharePhotoList._id": shareUserProject.PhotoListId } },
{
$set: {
"spyneSharePhotoList.spyneShareUsers": {
$concatArrays: [
{
$filter: {
input: "$spyneSharePhotoList.spyneShareUsers",
cond: { $ne: ["$$this._id", shareUserProject.ShareUserId] }
}
},
[{
_id: shareUserProject.ShareUserId,
selectedByClient: { $in: [shareUserProject.ShareUserId, "$spyneSharePhotoList.spyneShareUsers._id"] }
}]
]
}
}
}
]
}
},
{ $unwind: "$root" },
{ $unwind: "$update" },
{
$set: {
"root.spyneSharePhotoList": {
$concatArrays: [
["$update.spyneSharePhotoList"],
{
$filter: {
input: "$root.spyneSharePhotoList",
cond: { $ne: ["$$this._id", shareUserProject.PhotoListId] }
}
}
]
}
}
},
{ $replaceRoot: { newRoot: "$root" } }
]).forEach(function (doc) {
db.collection.replaceOne({ _id: doc._id }, doc);
})
I did not check whether all operators are available in MongoDB 3.5
My goal was to process everything in aggregation pipeline and run just a single replaceOne() at the end.
Here another solution based on $map operator:
db.collection.aggregate([
{ $match: { _id: shareUserProject.id } },
{
$set: {
spyneSharePhotoList: {
$map: {
input: "$spyneSharePhotoList",
as: "photoList",
in: {
$cond: {
if: { $eq: [ "$$photoList._id", shareUserProject.PhotoListId ] },
then: {
"_id": "$$photoList._id",
spyneShareUsers: {
$cond: {
if: { $in: [ shareUserProject.ShareUserId, "$$photoList.spyneShareUsers._id" ] },
then: {
$map: {
input: "$$photoList.spyneShareUsers",
as: "shareUsers",
in: {
$cond: {
if: { $eq: [ "$$shareUsers._id", shareUserProject.ShareUserId ] },
then: { _id: shareUserProject.ShareUserId, selectedByClient: true },
else: "$$shareUsers"
}
}
}
},
else: {
$concatArrays: [
"$$photoList.spyneShareUsers",
[ { _id: shareUserProject.ShareUserId, selectedByClient: false } ]
]
}
}
}
},
else: "$$photoList"
}
}
}
}
}
}
]).forEach(function (doc) {
db.collection.replaceOne({ _id: doc._id }, doc);
})
You can achieve the same result also with two updates:
shareUserProject = {
id: "575",
PhotoListId: "fxLO68XyMR_x",
ShareUserId: "chittaranjan_new#gmail.com"
}
ret = db.collection.updateOne(
{ _id: shareUserProject.id },
{ $pull: { "spyneSharePhotoList.$[photoList].spyneShareUsers": { _id: shareUserProject.ShareUserId } } },
{ arrayFilters: [{ "photoList._id": shareUserProject.PhotoListId }] }
)
db.collection.updateOne(
{ _id: shareUserProject.id },
{ $push: { "spyneSharePhotoList.$[photoList].spyneShareUsers": { _id: shareUserProject.ShareUserId, selectedByClient: ret.modifiedCount == 1 } } },
{ arrayFilters: [{ "photoList._id": shareUserProject.PhotoListId }] }
)
I have this 'Sales' collection and a sample of it looks like this:
[
{cusID: 'a412q39x',
cusCountry: 'MEX',
itemPurchased: 'Toy_A'
},
{cusID: 'r760e11s',
cusCountry: 'USA',
itemPurchased: 'Toy_B'
},
{cusID: 'g723f01z',
cusCountry: 'USA',
itemPurchased: 'Toy_C'
},
{cusID: 'h277p01c',
cusCountry: 'CAN',
itemPurchased: 'Toy_B'
}
]
This is the result I am hoping to achieve.
[
{item: 'Toy_A',
USA: 4,
MEX: 2,
CAN: 1,
BRA: 0
},
{item: 'Toy_B',
USA: 3,
MEX: 0,
CAN: 2,
BRA: 1
}
]
I tried:
{
$group:{_id:{toy:'$itemPurchased', country: $cusCountry'},'cnt':{'$sum': 1}}
}
The result was not what I wanted.
[
{
_id.toy: 'Toy_A',
_id.country: 'BRA',
cnt: 43
},
{
_id.toy: 'Toy_A',
_id.country: 'USA',
cnt: 102
},
{
_id.toy: 'Toy_A',
_id.country: 'JPN',
cnt: 72
},
{
_id.toy: 'Toy_B',
_id.country: 'CAN',
cnt: 32
}
]
I have also experimented with $facet but to no avail. Mongo gurus, please enlighten. Thanks in advance.
Try as below:
db.collection.aggregate([
{
$group: { _id: '$itemPurchased' , items: { $push: { "country" : "$cusCountry", "count": { $sum :1} } } }
},
{
"$project": {
"countryCounts": {
"$arrayToObject": {
"$map": {
"input": "$items",
"as": "item",
"in": {
"k": "$$item.country",
"v": "$$item.count",
}
}
}
}
}
},
{ $replaceRoot: { newRoot: { "$mergeObjects":[ "$countryCounts" , { "item":"$_id"} ] } } }
])
You will get the result like below:
{
"USA" : 1,
"item" : "Toy_C"
},
/* 2 */
{
"USA" : 1,
"CAN" : 1,
"item" : "Toy_B"
},
/* 3 */
{
"MEX" : 1,
"item" : "Toy_A"
}
//Existing Json that i have
[
{
"Id":1,
"Authors":[
{
"Id":10,
"Name":"Arun"
},
{
"Id":14,
"Name":"Arjun"
}
],
"tags":[
{
"Name":"Java"
}
]
},
{
"Id":5,
"Authors":[
{
"Id":7,
"Name":"Shyama"
}
],
"tags":[
{
"Name":"C#"
},
{
"Name":"C++"
}
]
}
]
//New Json (converted)
//Here i want to combine both the author
[
{
"Id":1,
"Authors":"Arun, Arjun",
"tags":"Java"
},
{
"Id":5,
"Authors":"Shyama",
"tags":"C#,C++"
}
]
//Controller that i have created
$scope.request = response.data;//request contain all json data
//---------- logic to create new json------------
}
var json = [
{
"Id":1,
"Authors":[
{
"Id":10,
"Name":"Arun"
},
{
"Id":14,
"Name":"Arjun"
}
],
"tags":[
{
"Name":"Java"
}
]
},
{
"Id":5,
"Authors":[
{
"Id":7,
"Name":"Shyama"
}
],
"tags":[
{
"Name":"C#"
},
{
"Name":"C++"
}
]
}
];
for (var i=0, j=json.length; i<j; i++) {
json[i].Authors = json[i].Authors.map(function(item) {return item.Name;}).join(',');
json[i].tags = json[i].tags.map(function(item) {return item.Name;}).join(',');
}
console.log(json);