How to add a condition for xads this query? (Exp: lads.status=1 )
db.xads.aggregate([
{
$lookup: {
from: 'xaditems',
localField: '_id',
foreignField: 'masterId',
as: 'xadItems'
},
}
]);
Works! Thanks DHIRAJ KATEKAR
db.xads.aggregate([
{
$match:{"status":1}
},
{
$lookup: {
from: 'xaditems',
localField: '_id',
foreignField: 'masterId',
as: 'xadItems'
},
}
]);
db.xads.aggregate([
{
$match:{"status":1} //add you filters in match
},
{
$lookup: {
from: 'xaditems',
localField: '_id',
foreignField: 'masterId',
as: 'xadItems'
},
}
]);
Related
I'm using MongoDB. I need different types of booking(booking, classBooking, workshopBooking, membershipBooking). There are 2 statuses of booking (approve, rejected). I need only approved booking.
Problem is when there were not approved booking in any specific field entire records get empty.
I have coded as below.
var payData = await countryModel
.aggregate([
{ $match: filter },
{
$lookup: {
from: "venues",
localField: "_id",
foreignField: "country",
as: "venue",
},
},
{
$lookup: {
from: "bookings",
localField: "venue._id",
foreignField: "venue",
as: "booking",
},
},
// { $match: { "booking.status": "approve" } },
{
$lookup: {
from: "classbookings",
localField: "venue._id",
foreignField: "venue",
as: "classbooking",
},
},
// { $match: { "classbooking.status": "approve" } },
{
$lookup: {
from: "workshobookings",
localField: "venue._id",
foreignField: "venue",
as: "workshopbooking",
},
},
// { $match: { "workshopbooking.status": "approve" } },
{
$lookup: {
from: "membershipbookings",
localField: "venue._id",
foreignField: "venue",
as: "membershipbooking",
},
},
// { $match: { "membershipbooking.status": "approve" } },
])
.exec();
Suppose there are membership booking, but not other booking. I get empty because pipeline get empty because of previous records empty records.
I want if there are not approve records then that field should empty list'[]', otherwise list of that booking
I have written this aggregate and it works fine
db.ParcelStatus.aggregate([{
{
$lookup: {
from: "Parcel",
localField: "parcelId",
foreignField: "_id",
as: "parcel"
}
},
{
$unwind: {
path: "$parcel",
preserveNullAndEmptyArrays: true
}
},
{
$lookup: {
from: "ParcelStatus",
localField: "parcel._id",
foreignField: "parcelId",
as: "parcel.parcelStatuses"
}
},
{
$lookup: {
from: "Customer",
localField: "parcel.customerData.customerId",
foreignField: "_id",
as: "parcel.customerData.customer"
}
},
{
$unwind: "$parcel.customerData.customer"
}
])
Now in ParcelStatus array that is INCLUDED inside PARCEL object i need to check that
if(parcel.ParcelStatus.includes((x) => x.statusRepositoryId === 'ID's from frontend')
//then run $match on root against statusRepositoryId === 'SPECIFIC STATIC ID'
I don't know how i can do that inside aggregate. Your help will be much appreciated
Just add this $match stage:
{
$match: {
"parcel.parcelStatuses.statusRepositoryId": {$in: idArrayFromClient}
}
}
I have an aggregate call as listed below. I believe the massive delay is caused when the roles lookup happens because there are applicants, hired, and rejected people to lookup from the resources table. There are over 10,000 entries in the resource collection so the query is taking about 6 seconds. Is there something I am doing that is incredibly wrong here? I don't see how I can use indexes because all of the lookups are done by with the _id which is already indexed by default.
The applications, hired, and rejected fields are just arrays of object Ids e.g.
applicants: [
ObjectId('asldkajsdlkj'),
ObjectId('asldkjaoksdjak')
]
Any help would be greatly appreciated.It was taking 6 seconds on an M0 instance and is no faster on an M10 instance.
return db.collection('projects').aggregate([
{
$match: {
agents: ObjectId('SOMETHING')
}
},
{
$lookup: {
from: "agents",
localField: "agents",
foreignField: "_id",
as: "agents"
}
},
{
$lookup: {
from: "agencies",
localField: "agency",
foreignField: "_id",
as: "agency"
}
},
{
$lookup: {
from: "roles",
let: { "roles": "$roles" },
pipeline: [
{ $match: { $expr: { $in: [ "$_id", "$$roles" ] } } },
{
$lookup: {
from:"resources",
let: { "applicants": "$applicants" },
pipeline: [
{ $match: { $expr: { $in: [ "$_id", "$$applicants" ] } } }
],
as: "applicants"
}
},
{
$lookup: {
from: "resources",
let: { "hired": "$hired" },
pipeline: [
{ $match: { $expr: { $in: [ "$_id", "$$hired" ] } } }
],
as: "hired"
}
},
{
$lookup: {
from: "resources",
let: { "rejected": "$rejected" },
pipeline: [
{ $match: { $expr: { $in: [ "$_id", "$$rejected" ] } } }
],
as: "rejected"
}
},
{
$lookup: {
from: "agents",
localField: "hiring_agent",
foreignField: "_id",
as: "hiring_agent"
}
}
],
as: "roles"
}
}
], {
allowDiskUse: true
})
MongoDB is designed to store "boiled" data. It means, in project collection, you need to store redundant information to transform into desired result.
In your case, performance decreases with inner $lookup with let - pipeline for role collection due to this error.
Try to change:
db.collection('projects').aggregate([
{
$match: {
agents: ObjectId('SOMETHING')
}
},
{
$lookup: {
from: "agents",
localField: "agents",
foreignField: "_id",
as: "agents"
}
},
{
$lookup: {
from: "agencies",
localField: "agency",
foreignField: "_id",
as: "agency"
}
},
{
$lookup: {
from: "roles",
let: { "roles": "$roles" },
pipeline: [
{ $match: { $expr: { $in: [ "$_id", "$$roles" ] } } },
{
$lookup: {
from:"resources",
localField: "applicants",
foreignField: "_id",
as: "applicants"
}
},
{
$lookup: {
from: "resources",
localField: "hired",
foreignField: "_id",
as: "hired"
}
},
{
$lookup: {
from: "resources",
localField: "rejected",
foreignField: "_id",
as: "rejected"
}
},
{
$lookup: {
from: "agents",
localField: "hiring_agent",
foreignField: "_id",
as: "hiring_agent"
}
}
],
as: "roles"
}
}
], {
allowDiskUse: true
})
I have an array of profiles in a somecollection. Profile Array looks like
profiles:[
{userProfile : ObjectId("5cb9588b6f74784babadd38b")},
{customerProfile : ObjectId("5cb9588b6f74784babadd40b")},
{clientProfile : ObjectId("5cb9588b6f74784babadd78b")},
{adminProfile : ObjectId("5cb9588b6f74784babadd66b")}
]
Now I want to look upon every profile collection and get data of every profile in a single profile array.
My Desired Output is :
profiles:[
{userProfile :
{data of user profile}
},
{customerProfile : {data of user customerProfile}},
{clientProfile : {data of user clientProfile}},
{adminProfile : {data of user adminProfile}}
]
The solution which I tried is to lookup 4 times and the result is not what I expected.
Below the code
db.getCollection('clients').aggregate([
{ $lookup
from: 'userProfile ',
localField: 'userProfile ',
foreignField: '_id',
as: 'userProfile '
}
},
{ $lookup
from: 'customerProfile ',
localField: 'customerProfile ',
foreignField: '_id',
as: 'customerProfile '
}
},
{ $lookup
from: 'clientProfile ',
localField: 'clientProfile ',
foreignField: '_id',
as: 'clientProfile '
}
},
{ $lookup
from: 'adminProfile ',
localField: 'adminProfile ',
foreignField: '_id',
as: 'adminProfile '
}
}
])
Assuming your using mongo version less than 3.6 and want to keep using this lookup syntax you need to unwind your array first:
db.getCollection('clients').aggregate([
{ $unwind: "$profiles"},
{
$lookup: {
from: 'userProfile ',
localField: 'profiles.userProfile ',
foreignField: '_id',
as: 'userProfile '
}
},
{
$lookup:{
from: 'customerProfile ',
localField: 'profiles.customerProfile ',
foreignField: '_id',
as: 'customerProfile '
}
},
{
$lookup:{
from: 'clientProfile ',
localField: 'profiles.clientProfile ',
foreignField: '_id',
as: 'clientProfile '
}
},
{
$lookup:{
from: 'adminProfile ',
localField: 'profiles.adminProfile',
foreignField: '_id',
as: 'adminProfile '
}
}
])
However Mongo version 3.6+ has a lookup syntax that can allow you to do all this without unwinding the array and keeping the original structure:
a single lookup would look like this:
{
$lookup:
{
from: adminProfile,
let: { profile_ids: "$profiles.adminProfile" },
pipeline: [
{ $match:
{ $expr:
{ $in: [ "$_id", "$$profile_ids" ] },
}
}],
as: admins
}
}
I've written a pipeline that looks like:
db.getCollection('task_groups').aggregate(
[
{
$match: {status: {$ne: 3}}
},
{
$lookup: {
from: 'tasks',
localField: '_id',
foreignField: 'taskGroupId',
as: 'tasks'
}
},
{
$lookup: {
from: 'publications',
localField: 'publicationId',
foreignField: '_id',
as: 'publication'
}
},
{
$unwind: '$publication'
},
{
$lookup: {
from: 'accounts',
localField: 'publication.accountId',
foreignField: '_id',
as: 'account'
}
},
{
$unwind: '$account'
}
]
)
Output looks like:
Array of tasks has a property "someoneAccountId". It's a ObjectId from "accounts" collection. How can I extend the pipeline to get an account for each "task"?
You can use the other syntax for $lookup (Join Conditions and Uncorrelated Sub-queries)
So you can update your query to:
db.getCollection('task_groups').aggregate([{
$match: {
status: {
$ne: 3
}
}
},
{
$lookup: {
from: 'tasks',
let: {
targetId: '$_id',
},
pipeline: [{
$match: {
$expr: {
$eq: ['$taskGroupId', '$$targetId']
}
}
}, {
$lookup: {
from: 'accounts',
localField: 'someoneAccountId',
foreignField: '_id',
as: 'account' // You might change it to another name if you want
}
}, {
$unwind: '$account'
}],
as: 'tasks'
}
},
{
$lookup: {
from: 'publications',
localField: 'publicationId',
foreignField: '_id',
as: 'publication'
}
},
{
$unwind: '$publication'
},
{
$lookup: {
from: 'accounts',
localField: 'publication.accountId',
foreignField: '_id',
as: 'account'
}
},
{
$unwind: '$account'
}
])