I want data from places where userid is equal to the body.user._id
PLACE DATA
{
"_id": "5e8ddd0f7f5b174290bbefc8",
"type": 0,
"location": [
24.8757396,
67.3464698
],
"title": "E 22, Steel Town Karachi, Karachi City, Sindh, Pakistan",
"googlePlaceId": "ChIJlbvA8BIzsz4Rlh7w_fKfwus",
"createdDate": "2020-04-08T14:17:51.869Z",
"__v": 0,
},
{
"_id": "5e8de4204396310017564a2b",
"type": 0,
"location": [
24.910688,
67.0310973
],
"title": "Nazimabad, Karachi, Pakistan",
"googlePlaceId": "ChIJzZudRr0_sz4R81KZ48Ylk3Q",
"createdDate": "2020-04-08T14:48:00.557Z",
"__v": 0,
},
{
"_id": "5e8de4364396310017564a2d",
"type": 0,
"location": [
24.9180271,
67.0970916
],
"title": "Gulshan-e-Iqbal, Karachi, Pakistan",
"googlePlaceId": "ChIJsda_CLg4sz4RIghXwgIae5k",
"createdDate": "2020-04-08T14:48:22.979Z",
"__v": 0,
},
{
"_id": "5e8dea79894854524cc554e0",
"type": 0,
"location": [
24.9343322,
67.177173
],
"title": "Malir Cantt Check Post No 6, Malir Link to Super Highway, Karachi, Pakistan",
"googlePlaceId": "ChIJJ7BbsyQ4sz4RvpkV9Ig_aU4",
"createdDate": "2020-04-08T15:15:05.360Z",
"__v": 0,
}**
Visited Places DATA
{
"_id":"5e90998f8bc84d0017a6d2f3",
"visitingNo":"0",
"_userId":"5e8f3ef5434f5800170c7169"
"_placeId":"5e908fdb8bc84d0017a6d2e8"
"createdDate":"2020-04-10T16:06:39.231+00:00"
"__v":"0"
},
{
"_id":"5e90998f8bc84d0017a6d2f3",
"visitingNo":"0",
"_userId":"5e8f3ef5434f5800170c7169"
"_placeId":"5e908fdb8bc84d0017a6d2e8"
"createdDate":"2020-04-10T16:06:39.231+00:00"
"__v":"0"
},
{
"_id":"5e90998f8bc84d0017a6d2f3",
"visitingNo":"0",
"_userId":"5e8f3ef5434f5800170c7169"
"_placeId":"5e908fdb8bc84d0017a6d2e8"
"createdDate":"2020-04-10T16:06:39.231+00:00"
"__v":"0"
},
MY CODE
const palace = placeData.aggregate([
{
$lookup:{
from: `${visitplaceData}`,
// localField: "_id",
// foreignField: "_placeId",
let : {
"placeId" : "$_id"
},
pipeline : [
{ $sort: { visitingNo : -1 } },
{
$match : {
$expr : {
$and : [
{$eq: [ "$_placeId", "$$placeId" ]},
{"_userId": body.user._id}
]
}
}
},
],
as: "places"
}
}
])
Related
I want count of all documents before doing grouping as show in my Query. The purpose of this if ai get count of all documents then I can calculate Percentage(%) of each individual students count. I tried with $count but after using that I'm not able to group my query. Is there any way 1st I can have counts of all documents after using $match function then store it to another variable without losing data.
This is the Query
const data = await AttendanceSchema.aggregate([
{ $match: { subjectID: mongoose.Types.ObjectId(`${req.params.Sid}`) } },
// Before Group I also want count of all documents
{ $group: { _id: "$studentID", count: { $sum: 1 } } },
{
$lookup: {
from: "students",
localField: "_id",
foreignField: "_id",
as: "student",
},
},
{
$project: {
"student.createdAt": 0,
"student.updatedAt": 0,
"student.__v": 0,
"student.password": 0,
},
},
]);
The data I'm getting from this query
{
"data": [
{
"_id": "635d40803352895afffdc294",
"count": 3,
"student": [
{
"_id": "635d40803352895afffdc294",
"name": "D R",
"email": "d#gmail.com",
"number": "9198998888",
"rollNumber": 202,
"departmentID": "635a8ca21444a47d65d32c1a",
"classID": "635a92141a081229013255b4",
"position": "Student"
}
]
},
{
"_id": "635eb8898dea5f437789b751",
"count": 4,
"student": [
{
"_id": "635eb8898dea5f437789b751",
"name": "V R",
"email": "v#gmail.com",
"number": "9198998899",
"rollNumber": 203,
"departmentID": "635a8ca21444a47d65d32c1a",
"classID": "635a92141a081229013255b4",
"position": "Student"
}
]
}
]
}
The desired output:
"data": [
{
"_id": "635d40803352895afffdc294",
"totalCount: 7, //This is what I want
"count": 3,
"student": [
{
"_id": "635d40803352895afffdc294",
"name": "D R",
"email": "d#gmail.com",
"number": "9198998888",
"rollNumber": 202,
"departmentID": "635a8ca21444a47d65d32c1a",
"classID": "635a92141a081229013255b4",
"position": "Student"
}
]
},
{
"_id": "635eb8898dea5f437789b751",
"totalCount: 7, //This is what I want
"count": 4,
"student": [
{
"_id": "635eb8898dea5f437789b751",
"name": "V R",
"email": "v#gmail.com",
"number": "9198998899",
"rollNumber": 203,
"departmentID": "635a8ca21444a47d65d32c1a",
"classID": "635a92141a081229013255b4",
"position": "Student"
}
]
}
]
}
You could add a few more stages to you aggregation pipeline to output what you want.
Here are the extra stages:
{
"$group": {
"_id": null,
"totalCount": {"$sum": "$count"},
"docs": {"$push": "$$ROOT"}
}
},
{
"$project": {
"docs": {
"$map": {
"input": "$docs",
"as": "doc",
"in": {
"$mergeObjects": [
"$$doc",
{"totalCount": "$totalCount"}
]
}
}
}
}
},
{"$unwind": "$docs"},
{"$replaceWith": "$docs"}
Try it on mongoplayground.net.
My documents look like this
{
"_id": {
"$oid": "62825f71005ce00c5f0235c1"
},
"user": "jon",
"roles": {
"User": 2001,
},
"STOCK ": [
{
"sku": "BLACK-M",
"productname": "BLACK",
"sendout": 0,
"recived": 1,
"totalinstock": 40,
"location": "B32",
"_id": {
"$oid": "62826016005ce00c5f0235c8"
}
},
{
"sku": "CJNS",
"productname": "89796363",
"sendout": 0,
"recived": 45,
"totalinstock": 0,
"location": "B232",
"_id": {
"$oid": "62836f2d56b4f1ac79c99b8d"
}
}
],
"ORDERS": [
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "745607",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "8678678678",
"Name": "Holly ",
"Trackingnumber": 40,
"ZipCode": 00000,
"Province": "New ",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a7"
}
},
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
]
}
I successful to return all the objects in STOCK or all the objects in ORDERS
Through this query
const foundUser= await User.find({"user":req.body.user},("Orders") ).exec()
Now I want to filter the response to include only items where "Trackingnumber" is different from 0
For the sample data I expect to receive only
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
You can use an aggregation pipeline with a $filter for this:
db.collection.aggregate([
{
$match: {
"user": "jon"
}
},
{
$project: {
ORDERS: {
$filter: {
input: "$ORDERS",
as: "item",
cond: {$ne: ["$$item.Trackingnumber", 0]}
}
}
}
}
])
Playground example
User.find({"Orders" : {"Trackingnumber": 0} })
I have 2 entities to merge: Customer and Feedback. Feedback contains an embedded array of upvotes (Upvote)
A customer is not able to upvote more than once for a specific feedback.
What I would like to achieve is - given a specific feedback id - get the complete list of customers with an additional virtual attribute that states whether he/she upvoted the given feedback.
Customer.aggregate(
[
{
$match: { company_id: new ObjectID(req.user.company_id) }
},
{
$lookup: {
from: 'feedbacks',
let: { 'c_id': '$_id' },
pipeline: [
{
$unwind: '$upvotes'
},
{
$match: { $expr: { $eq: ['$upvotes.customer_id._id', '$$c_id'] } }
}
],
as: 'upvotes'
}
}
],
function(err, customers) {
if (err) {
console.log(err);
res.status(400).send(err);
} else {
res.send({ customers });
}
}
);
To do that I have to look through the list of upvotes for that specific feedback and, then, join it with the customer table using the customer_id.
The above mentioned approach does not work. Any suggestion what I am doing wrong?
Sample data (Feedback)
{
"size": 0,
"points": 50,
"status": "open",
"potential": 0,
"real": 5000,
"_id": "5c3d033271ceb7edc37d156c",
"title": "Custom Invoice Templates",
"description": "Provide an editor to create custom invoices.",
"owner_id": {
"_id": "5c3b684f7cec8be977c2a465",
"email": "maurizio#acme.com"
},
"company_id": "5c3b684f7cec8be977c2a462",
"project_id": "5c3b68507cec8be977c2a468",
"upvotes": [
{
"_id": "5c3fa5b371ceb7edc37d159a",
"comments": "bbbb",
"priority": "should",
"customer_id": {
"size": 0,
"potential": 0,
"real": 5000,
"_id": "5c3b68507cec8be977c2a485",
"name": "Oyomia Ltd."
},
"owner_id": {
"_id": "5c3b684f7cec8be977c2a465",
"email": "maurizio#acme.com"
}
}
],
"updatedAt": "2019-01-16T21:44:19.215Z",
"createdAt": "2019-01-14T21:46:26.286Z",
"__v": 0
}
Sample data (Customer)
{
"size": 0,
"potential": 0,
"real": 5000,
"_id": "5c3b68507cec8be977c2a485",
"name": "Oyomia Ltd.",
"contact": {
"_id": "5c40f8de71ceb7edc37d15ab",
"name": "Nick Page",
"email": "np#oyoma.com"
},
"company_id": "5c3b684f7cec8be977c2a462",
"deals": [
{
"value": 5000,
"_id": "5c3b68507cec8be977c2a487",
"name": "Armour batch",
"status": "won",
"type": "non_recurring",
"updatedAt": "2019-01-13T16:33:20.870Z"
}
],
"__v": 0,
"updatedAt": "2019-01-17T21:51:26.877Z"
}
I have searched online but could not find any match my case. Here is the situation.
I am using aggregate to combine one collection and one document which is from another collection together
restaurants.aggregate([
{
$match: {
_id: {
$in: idList
}
}
},
{
$lookup: {
from: "tags",
localField: "details.restaurantType",
foreignField: "details.restaurantType._id",
as: "types"
}
},
{
$project: {
restaurantName: "$details.restaurantName",
restaurantType: "$details.restaurantType",
type: {
$filter: {
input: "$types",
as: "type",
cond: {
$eq: ["$$type._id", "$details.restaurantType"]
}
}
},
currency: "$details.currency",
costPerPax: "$details.costPerPax"
}
}
]);
current result
The 'type' field in my current result is [], I need a matched value instead
[
{
"id": "5c20c7a0036dda80a8baabcc",
"restaurantName": "Villagio Restaurant Sutera Mall",
"type": [],
"currency": "RM",
"costPerPax": 22,
},
{
"id": "5c20ceb07715216d3c217b7a",
"restaurantName": "Thai Food Thai Now Sutera Mall",
"type": [],
"currency": "RM",
"costPerPax": 16,
}
]
expected result
I need the 'type' fields has match tag name from another collection like this
[
{
"id": "5c20c7a0036dda80a8baabcc",
"restaurantName": "Villagio Restaurant Sutera Mall",
"type": "Western",
"currency": "RM",
"costPerPax": 22,
},
{
"id": "5c20ceb07715216d3c217b7a",
"restaurantName": "Thai Food Thai Now Sutera Mall",
"type": "Thai",
"currency": "RM",
"costPerPax": 16,
}
]
Extra Information
two document from restaurants collection
{
"details": {
"restaurantName": "Villagio Restaurant Sutera Mall",
"restaurantType": "5c01fb57497a896d50f498a8"
},
"_id": "5c20c7a0036dda80a8baabcc",
"status": "OP",
"__v": 0
},
{
"details": {
"restaurantName": "Kingshahi Japanese Shop",
"restaurantType": "5c01fb57497a896d50f49879"
},
"_id": "5c20cb4fb7e75180480690c2",
"status": "OP",
"__v": 0
}
One document from tag collection
{
"_id": "5c01fb57497a896d50f49876",
"details": {
"restaurantTypeId": "5c01fb57497a896d50f49877",
"restaurantTypes": [
{
"_id": "5c01fb57497a896d50f49879",
"name": "Asian",
"counter": 1
},
{
"_id": "5c01fb57497a896d50f4987a",
"name": "Bakery",
"counter": 0
}
]
}
}
You can use below optimised aggregation pipeline
db.restaurants.aggregate([
{ "$lookup": {
"from": "tags",
"let": { "restaurantType": "$details.restaurantType" },
"pipeline": [
{ "$match": {
"$expr": { "$in": ["$$restaurantType", "$details.restaurantTypes._id"] }
}},
{ "$unwind": "$details.restaurantTypes" },
{ "$match": {
"$expr": { "$eq": ["$details.restaurantTypes._id", "$$restaurantType"] }
}}
],
"as": "types"
}},
{ "$project": {
"restaurantName": "$details.restaurantName",
"restaurantType": "$details.restaurantType",
"type": { "$arrayElemAt": ["$types.details.restaurantTypes.name", 0] },
"currency": "$details.currency",
"costPerPax": "$details.costPerPax"
}}
])
I am having data from two different collections on which I am applying $lookup with $match which is working fine. What I am trying to do is on lookup's result I am applying $match again which is having some conditions. Here is the collection of User on which I am applying lookup.
Users collection :-
{
"_id": {
"$oid": "5b714631faaae220d7cc07cf"
},
"name": "abc",
"surname": "xyz",
"email": "abc#gmail.com",
"hotel_data": [
{
"location": {
"type": "Point",
"coordinates": [
30.7052881,
76.84470799999997
]
},
"_id": {
"$oid": "5b7fb8559849fd485dc47240"
},
"status": true,
"activityname": "Sparrow",
},
{
"location": {
"type": "Point",
"coordinates": [
30.733315,
76.779419
]
},
"_id": {
"$oid": "5b7f9ecb9960053dac7ce6f1"
},
"status": true,
"activityname": "Raj Hotel",
},
]
}
and this is my availabilities collection on which I am applying $lookup with $match.
{
"_id": {
"$oid": "5b867766d63c4e2cdd5534d2"
},
"businessid": {
"$oid": "5b7fb8559849fd485dc47240"
},
"userid": {
"$oid": "5b714631faaae220d7cc07cf"
},
"hotel_filters": [
{
"_id": {
"$oid": "5b867766d63c4e2cdd5534d3"
},
"hotelservice": [
{
"service_id": "5b472fff25556c3f02a875aa",
"service_name": "Pool",
"_id": {
"$oid": "5b867767d63c4e2cdd5534d7"
}
},
{
"service_id": "5b472fdb25556c3f02a875a9",
"service_name": "AIR",
"_id": {
"$oid": "5b867767d63c4e2cdd5534d8"
}
}
],
"location_type": [
{
"locationtype_id": "5b18f4d08c63f42019763b12",
"locationtype_name": "Scenic View",
"_id": {
"$oid": "5b867767d63c4e2cdd5534d5"
}
},
{
"locationtype_id": "5b18f4e38c63f42019763b13",
"locationtype_name": "Central",
"_id": {
"$oid": "5b867767d63c4e2cdd5534d6"
}
}
],
"hotel_type": [
{
"hoteltype_id": "5b081452edefe23318834a28",
"hoteltype_name": "3 Star",
"_id": {
"$oid": "5b867767d63c4e2cdd5534d4"
}
}
]
}
]
}
and what I am trying to do is- after $lookup I only want those availabilities data which are having "hotelservice.service_id" and "location_type.locationtype_id" that I will pass. And I have tried this by applying this query to it(In this query I have only applied "hotelservice.service_id" but later on I also want to apply query with $and on "location_type.locationtype_id").
User.aggregate([
{
$match:{
"hotel_data.location": {
"$geoWithin": {
"$centerSphere": [
[30.7052881, 76.84470799999997], 50/ 6371
]
}
}
}
},{
"$unwind": "$hotel_data"
},
{
$match:{
"hotel_data.location": {
"$geoWithin": {
"$centerSphere": [
[30.7052881, 76.84470799999997], 50/ 6371
]
}
}
}
},
{
$lookup: {
from: "availabilities",
localField: "hotel_data._id",
foreignField: "businessid",
as: "availabilitiesdata"
}
},
{$match:{$and: [{"availabilitiesdata.hotel_filters.hotelservice.service_id":{$in:[5b472fb725556c3f02a875a8]}}]}}
], function(err, data) {
if (err) {
return res.send({data: err, status: false, msg:"No Hotel Found" });
}else{
return res.send({status: true, msg:"Hotel Found", data:data });
}
});
This query gives me result as follow.
{
"status": true,
"msg": "Hotel Found",
"data": [
{
"_id": "5b714631faaae220d7cc07cf",
"name": "abc",
"surname": "xyz",
"email": "abc#gmail.com",
"hotel_data": {
"location": {
"type": "Point",
"coordinates": [
30.7052881,
76.84470799999997
]
},
"_id": "5b7fb8559849fd485dc47240",
"status": true,
"activityname": "Sparrow",
},
"availabilitiesdata": [
{
"_id": "5b864fe68ab0b71f4f28021e",
"businessid": "5b7fb8559849fd485dc47240",
"userid": "5b714631faaae220d7cc07cf",
"hotel_filters": [
{
"_id": "5b864fe78ab0b71f4f28021f",
"hotelservice": [
{
"service_id": "5b472fb725556c3f02a875a8",
"service_name": "Parking",
"_id": "5b864fe78ab0b71f4f280223"
},
{
"service_id": "5b472fff25556c3f02a875aa",
"service_name": "Pool",
"_id": "5b864fe78ab0b71f4f280224"
}
],
"location_type": [
{
"locationtype_id": "5b18f4798c63f42019763b11",
"locationtype_name": "Quiet",
"_id": "5b864fe78ab0b71f4f280221"
},
{
"locationtype_id": "5b18f4e38c63f42019763b13",
"locationtype_name": "Central",
"_id": "5b864fe78ab0b71f4f280222"
}
],
"hotel_type": [
{
"hoteltype_id": "5b0813e2edefe23318834a27",
"hoteltype_name": "5 Star",
"_id": "5b864fe78ab0b71f4f280220"
}
]
}
]
},
{
"_id": "5b867766d63c4e2cdd5534d2",
"businessid": "5b7fb8559849fd485dc47240",
"userid": "5b714631faaae220d7cc07cf",
"hotel_filters": [
{
"_id": "5b867766d63c4e2cdd5534d3",
"hotelservice": [
{
"service_id": "5b472fff25556c3f02a875aa",
"service_name": "Pool",
"_id": "5b867767d63c4e2cdd5534d7"
},
{
"service_id": "5b472fdb25556c3f02a875a9",
"service_name": "AIR",
"_id": "5b867767d63c4e2cdd5534d8"
}
],
"location_type": [
{
"locationtype_id": "5b18f4d08c63f42019763b12",
"locationtype_name": "Scenic View",
"_id": "5b867767d63c4e2cdd5534d5"
},
{
"locationtype_id": "5b18f4e38c63f42019763b13",
"locationtype_name": "Central",
"_id": "5b867767d63c4e2cdd5534d6"
}
],
"hotel_type": [
{
"hoteltype_id": "5b081452edefe23318834a28",
"hoteltype_name": "3 Star",
"_id": "5b867767d63c4e2cdd5534d4"
}
]
}
]
}
]
}
]}
but what I want is something like this.
{
"status": true,
"msg": "Hotel Found",
"data": [
{
"_id": "5b714631faaae220d7cc07cf",
"name": "abc",
"surname": "xyz",
"email": "abc#gmail.com",
"hotel_data": {
"location": {
"type": "Point",
"coordinates": [
30.7052881,
76.84470799999997
]
},
"_id": "5b7fb8559849fd485dc47240",
"status": true,
"activityname": "Sparrow",
},
"availabilitiesdata": [
{
"_id": "5b864fe68ab0b71f4f28021e",
"businessid": "5b7fb8559849fd485dc47240",
"userid": "5b714631faaae220d7cc07cf",
"hotel_filters": [
{
"_id": "5b864fe78ab0b71f4f28021f",
"hotelservice": [
{
"service_id": "5b472fb725556c3f02a875a8",
"service_name": "Parking",
"_id": "5b864fe78ab0b71f4f280223"
},
{
"service_id": "5b472fff25556c3f02a875aa",
"service_name": "Pool",
"_id": "5b864fe78ab0b71f4f280224"
}
],
"location_type": [
{
"locationtype_id": "5b18f4798c63f42019763b11",
"locationtype_name": "Quiet",
"_id": "5b864fe78ab0b71f4f280221"
},
{
"locationtype_id": "5b18f4e38c63f42019763b13",
"locationtype_name": "Central",
"_id": "5b864fe78ab0b71f4f280222"
}
],
"hotel_type": [
{
"hoteltype_id": "5b0813e2edefe23318834a27",
"hoteltype_name": "5 Star",
"_id": "5b864fe78ab0b71f4f280220"
}
]
}
]
}
]
}
]}
I want only those availabilities which match the condition on my $lookup availability data. can someone help me out.
You can use $lookup pipeline variant to apply the $match inside the joined collection in 3.6
Something like ( replace $lookup & $match stage with below lookup pipeline )
{"$lookup":{
"from":"availabilities",
"let":{"hotel_data_id":"$hotel_data._id"},
"pipeline":[
{"$match":{
"hotel_filters.hotelservice.service_id":{"$in":["5b472fb725556c3f02a875a8"]},
"hotel_filters.location_type.locationtype_id":{"$in":["5b18f4798c63f42019763b11"]},
"$expr":{"$eq":["$$hotel_data_id","$businessid"]}
}}
],
"as":"availabilitiesdata"
}}