How can I set this condition in my mongoose query?
Note that coinId is a populated field
signalModel
.find(
{
'coinId.Price': { $gt: 1000 }
},
(err, signals) => {
if (err) throw err
res.json(signals)
}
)
.populate('coinId')
Update:
I tried this query from the answers, but I didn't satisfied with the result since the coin field is an empty array.
let signals = await signalModel.aggregate([
{
$lookup: {
from: 'Coin',
localField: 'coinId',
foreignField: '_id',
as: 'coin'
}
},
{
$match: {
type: req.query.type ?? /^(buy|sell)$/i,
'coin.Price': { $gt: 1000 }
}
}
])
The result:
{
"_id": "616eb8d2c31a52512900f56b",
"coinId": "616e8c07ca518ef7fac3eea9",
"type": "buy",
"highEntryPoint": 60000,
"lowEntryPoint": 59500,
"stopLoss": 59000,
"takeProfit": 60500,
"lastPrice": 61998.1102423889,
"status": "waiting",
"__v": 0,
"coin": []
}
Update2
Input Example/Signal
{
"_id" : ObjectId("616eb8d2c31a52512900f56b"),
"coinId" : ObjectId("616e8c07ca518ef7fac3eea9"),
"type" : "buy",
"highEntryPoint" : 60000,
"lowEntryPoint" : 59500,
"stopLoss" : 59000,
"takeProfit" : 60500,
"lastPrice" : 61998.1102423889,
"status" : "waiting",
"__v" : 0
}
Input Example/Coin
{
"_id" : ObjectId("616e8c07ca518ef7fac3eea9"),
"Name" : "BTC",
"Price" : 61700.9584311177,
"__v" : 0
}
first use $lookup then add condition in aggregate like this :
signalModel.aggregate([
{$lookup:{
from: 'Coins' // coins collection name
localField: coindId,
foreignField: _id
as: coins
}},
{
$match:{'coins':{$ne: []}}
}
,{
$match :{"coins.Price":{$gt:1000}}
}
])
Related
I am using aggregation query to retrieve 20000 records. while retrieving it is taking much time. I will mention my query below, Please help me to improve the query performance.
Query:
[err, data] = await to(LeadsLog.aggregate([
{$lookup:{
from: "leads",
localField: "leadId",
foreignField: "_id",
as: "leadId"
}},
{$lookup:{
from: "company_contacts",
localField: "leadId.assignedTo",
foreignField: "_id",
as: "assignedTo"
}},
{
$unwind:{
path: "$leadId",
preserveNullAndEmptyArrays: true
}
},
{
$match:{"leadId.assignedTo":new mongoose.Types.ObjectId(userId),
"result":{$eq:null}}
},
{ '$facet' : {
metadata: [ { $count: "total" }, { $addFields: { page: 1 } } ],
data: [ { $skip: 0 }, { $limit: 20000 } ]
} }
] ));
LeadId:
{
"_id" : ObjectId("617a84b401c98424e00d1310"),
"status" : true,
"address" : "Howmif Trail",
"city" : "Kinawnet",
"state" : "LA",
"country" : "LA",
"pincode" : null,
"extraFormObject" : null,
"lead_name" : "Jayden",
"phone" : "(524) 387-4912",
"email" : "niligis#taptehe.cm",
"company" : ObjectId("6155c2758609663d10fff796"),
"createdBy" : ObjectId("6155c2758609663d10fff798"),
"createdAt" : ISODate("2021-10-28T11:08:40.433Z"),
"updatedAt" : ISODate("2021-10-30T04:43:49.490Z")
}
LeadLog:
{
"_id" : ObjectId("617a84bf01c98424e00daf52"),
"callLogId" : null,
"result" : null,
"assignedTo" : ObjectId("6155c2758609663d10fff798"),
"extraFormObject" : null,
"subResult" : null,
"apptDate" : null,
"nextcallDate" : ISODate("2021-10-28T11:02:50.516Z"),
"callDate" : null,
"leadId" : ObjectId("617a84b401c98424e00d1310"),
"company" : ObjectId("6155c2758609663d10fff796"),
"createdAt" : ISODate("2021-10-28T11:08:50.962Z"),
"updatedAt" : ISODate("2021-10-30T04:43:50.281Z")
}
Please help me with better solution. thank you.
There are a few simple tweaks that you can improve your existing query:
make intermediate result as small as possible; one of the common ways is pushing $match stages as early as possible
use Pipeline Coalescence Optimization as much as possible; one of the common tuples would be $lookup + $unwind combination
index the $match fields and $lookup fields
Based on the first 2 points, here is my suggested form of your query:
You can see result : {$eq: null} is pushed to first stage. The performance gain will depends on the selectivity of the clause.
the $lookup and $unwind leads are grouped together to utilize the coalescence optimization.
"leadId.assignedTo": new mongoose.Types.ObjectId(userId) is moved earlier to minimize intermediate result size
Don't forget to index the relevant $match fields and $lookup fields. From my personal experience, good usage of index will help most with the performance.
[err, data] = await to(LeadsLog.aggregate([
{
$match: {
"result": {
$eq: null
}
}
},
{
$lookup: {
from: "leads",
localField: "leadId",
foreignField: "_id",
as: "leadId"
}
},
{
$unwind: {
path: "$leadId",
preserveNullAndEmptyArrays: true
}
},
{
$match: {
"leadId.assignedTo": new mongoose.Types.ObjectId(userId)
}
},
{
$lookup: {
from: "company_contacts",
localField: "leadId.assignedTo",
foreignField: "_id",
as: "assignedTo"
}
},
{
"$facet": {
metadata: [
{
$count: "total"
},
{
$addFields: {
page: 1
}
}
],
data: [
{
$skip: 0
},
{
$limit: 20000
}
]
}
}
]));
I am trying to find documents in a collection, but filtered based on the value of an embedded ObjectID relation.
Mongoose schema is as follows:
const UserQualificationSchema = new Schema(
{
user: {
type: mongoose.Schema.Types.ObjectId,
ref: 'User',
},
}
const UserSchema = new Schema(
{
fleet: {
type: [String], // Eg ["FleetA", "FleetB", "FleetC"]
required: true,
}
}
I need to find all UserQualifications where an item in the user's fleet equals a value in a filter array.
For example: Find all User Qualifications where user.fleet: {$in: ["FleetA", "FleetC"]}
I've looked at aggregations and querying inside .populate() but can't seem to get it to work.
Any ideas much appreciated.
Use aggregation query for your problem, I have created a query for you.
users.collection.json
/* 1 */
{
"_id" : ObjectId("61056c4a8cca27df3db2e4c8"),
"firstName" : "Rahul",
"lastName" : "soni",
"fleet" : [
"FleetA",
"FleetB",
"FleetC"
],
"createdAt" : ISODate("2021-07-31T15:29:14.918Z")
}
userqualifications.collection.json
/* 1 */
{
"_id" : ObjectId("61056c908cca27df3db2e4c9"),
"user" : ObjectId("61056c4a8cca27df3db2e4c8"),
"createdAt" : ISODate("2021-07-31T15:30:24.510Z")
}
aggregation query:
it will get the result only if a user has FleetA and FleetC.
if anyone is not matched then it will return 0 records
db.userqualifications.aggregate([{
"$lookup": {
"from": "users",
"localField": "user",
"foreignField": "_id",
"as": "user"
}
}, {
"$unwind": "$user"
}, {
"$match": {
"user.fleet": {
"$elemMatch": {
"$eq": "FleetA",
"$eq": "FleetC"
}
}
}
}])
Result:
/* 1 */
{
"_id" : ObjectId("61056c908cca27df3db2e4c9"),
"user" : {
"_id" : ObjectId("61056c4a8cca27df3db2e4c8"),
"firstName" : "Rahul",
"lastName" : "soni",
"fleet" : [
"FleetA",
"FleetB",
"FleetC"
],
"createdAt" : ISODate("2021-07-31T15:29:14.918Z")
},
"createdAt" : ISODate("2021-07-31T15:30:24.510Z")
}
if the goal is to get only UserQualifications then the following should be an efficient way as it can use an index on the fleet field of the User collection.
db.User.aggregate([
{
$match: {
fleet: { $in: ["FleetA", "FleetB"] }
}
},
{
$lookup: {
from: "UserQualification",
localField: "_id",
foreignField: "user",
as: "qualifications"
}
},
{
$unwind: "$qualifications"
},
{
$replaceWith: "$qualifications"
}
])
on the other hand if you start from the UserQualifications collection, you can't efficiently narrow down the records as you're filtering on something that it doesn't have the data for.
Thank you for the answer - it did achieve the results I was looking for - however I am now struggling to add a $match with $and to the aggregate to only return the qualifications where the user ID equals one inside a submitted array AND a given fleet.
I have the following aggregate:
db.UserQualifications.aggregate([{
{
$lookup: {
from: 'users',
localField: 'user',
foreignField: '_id',
as: 'user',
},
},
{
$unwind: '$user',
},
{
$match: {
$and: [
'user.fleet': {
$in: ["Fleet A", "Fleet C"], // This works on it's own
},
user: { // Also tried 'user._id'
$in: ["6033e4129070031c07fbbf29"] // Adding this returns blank array
}
]
},
}
}])
I have double checked that I am passing in the correct User ID's inside the arrays, but when I add this to the $and inside match, it only returns a blank array.
Is there another way to do this?
// Updated users collection
/* 1 */
{
"_id" : ObjectId("61056c4a8cca27df3db2e4c8"),
"firstName" : "Rahul",
"lastName" : "soni",
"fleet" : [
"Fleet A",
"Fleet B",
"Fleet C"
],
"createdAt" : ISODate("2021-07-31T15:29:14.918Z")
}
Query:
// userqualifications => this is my collection name, you can add your collection name here db.<YOUR>
db.userqualifications.aggregate([{
$lookup: {
from: 'users',
localField: 'user',
foreignField: '_id',
as: 'user',
},
},
{
$unwind: '$user',
},
{
$match: {
// $and operatory syntax [{}, {}]
$and: [{
'user.fleet': {
// "Fleet A", "Fleet C" (FleetA, FleetC) this is the my first options,
// I have changes according to your problem
$in: ["Fleet A", "Fleet C"], // This works on it's own
}
}, {
// Convert user id to ObjectId type (_bsonType)
"user._id": ObjectId("61056c4a8cca27df3db2e4c8")
}]
}
}
])
Result:
/* 1 */
{
"_id" : ObjectId("61056c908cca27df3db2e4c9"),
"user" : {
"_id" : ObjectId("61056c4a8cca27df3db2e4c8"),
"firstName" : "Rahul",
"lastName" : "soni",
"fleet" : [
"Fleet A",
"Fleet B",
"Fleet C"
],
"createdAt" : ISODate("2021-07-31T15:29:14.918Z")
},
"createdAt" : ISODate("2021-07-31T15:30:24.510Z")
}
Difference Image:
I want new field "isActive" inside modifierStatus sub document which is coming from modifieritems collection.
modifieritems collection :
{
"_id" : ObjectId("5e6a5a0e6d40624b12453a67"),
"modifierName" : "xxx",
"isActive" : 1
}
{
"_id" : ObjectId("5e6a5a0e6d40624b12453a6a"),
"modifierName" : "yyy",
"isActive" : 0
}
favoritedrinks collection :
{
"alcoholName" : "whiskey",
"modifierList" : [{
"_id" : ObjectId("5e6a5a0e6d40624b12453a61"),
"modifierId" : ObjectId("5e6a5a0e6d40624b12453a67"),
"modifierName" : "xxx",
}
{
"_id" : ObjectId("5e6a5a0e6d40624b12453a66"),
"modifierId" : ObjectId("5e6a5a0e6d40624b12453a6a"),
"modifierName" : "yyy",
}]
}
my query is :
db.getCollection('favoritedrinks').aggregate([
{ "$sort": { "alcoholName": 1 } },
{"$lookup": {
"from": "modifieritems",
localField: 'modifierList.modifierId',
foreignField: '_id',
as: 'modifier'
}},
{
$project:{
"alcoholName" : "$alcoholName",
"modifierStatus":"$modifier",
}
},
]);
But my expected result :
{
"alcoholName" : "Whiskey",
"modifierStatus" : [
{
"_id" : ObjectId("5e6a5a0e6d40624b12453a61"),
"modifierId" : ObjectId("5e6a5a0e6d40624b12453a67"),
"modifierName" : "xxx",
"isActive" : 1,
},
{
"_id" : ObjectId("5e6a5a0e6d40624b12453a66"),
"modifierId" : ObjectId("5e6a5a0e6d40624b12453a6a"),
"modifierName" : "yyy",
"isActive" : 0,
}
]
}
anyone please help me?
Try this query :
Update with new requirement :
db.favoritedrinks.aggregate([
{
"$sort": {
"alcoholName": 1
}
},
{
"$lookup": {
"from": "modifieritems",
localField: "modifierList.modifierId",
foreignField: "_id",
as: "modifierStatus"
}
},
{
$addFields: {
modifierStatus: {
$map: {
input: "$modifierList",
as: "m",
in: {
$mergeObjects: [
{
$arrayElemAt: [ /** As filter would only get one object (cause you'll have only one matching doc in modifieritems coll for each "modifierList.modifierId", So getting first element out of array, else you need to take this array into an object & merge that field to particular object of 'modifierList') */
{
$filter: {
input: "$modifierStatus",
cond: {
$eq: [
"$$this._id",
"$$m.modifierId"
]
}
}
},
0
]
},
"$$m"
]
}
}
}
}
},
{
$project: {
modifierStatus: 1,
alcoholName: 1,
_id: 0
}
}
])
Test : MongoDB-Playground
Old :
db.favoritedrinks.aggregate([
{
"$sort": {
"alcoholName": 1
}
},
{
$lookup: {
from: "modifieritems",
let: {
id: "$modifierList.modifierId"
},
pipeline: [
{
$match: { $expr: { $in: ["$_id", "$$id"] } }
},
/** Adding a new field modifierId(taken from _id field of modifieritems doc)
* to each matched document from modifieritems coll */
{
$addFields: {
modifierId: "$_id"
}
}
],
as: "modifierStatus"
}
},
/** By mentioning 0 to particular fields to remove them & retain rest all other fields */
{
$project: {
modifierList: 0,
_id: 0
}
}
])
Test : MongoDB-Playground
When you want $project to include a field's current value while keeping the same field name, you need only specify :1. When you use "$field" you are explicitly setting the value, which will overwrite any existing value.
Try making your projection:
{
$project:{
"alcoholName" : 1,
"modifier.isActive": 1,
"modifier.modifierName": 1
}
}
I've 3 tables
1.User
_id:123
name
email
2.contact:
userId:123
hospitalId:321
3.Hospital:
_id:321
I need mongoose equivalent of below SQL query:
select *from user where _id in (select userId from contact where hospitalId = 321)
Users.aggregate(
[
{ "$match": {
"_id": {
"$in": db.contact.distinct("userid",{ "hospitalId": 321 })
}
}}
])
when I tried this I got cyclic dependency error.
This will group users based on the hospitalId by joining data from two collections
db.hospital.aggregate([
{ $group: { _id: "$_id"} },
{ $lookup: {
from: 'contact',
localField: '_id',
foreignField: 'hospitalId',
as: 'Details'
}},
{ $project: {
'Details.hospitalId': 0,
'Details._id': 0 }}
])
The O/P is:
/* 1 */
{
"_id" : 456,
"Details" : [
{
"userId" : 890
}
]
}
/* 2 */
{
"_id" : 321,
"Details" : [
{
"userId" : 123
},
{
"userId" : 4657697
}
]
}
Hospital.find({
hospitalId: {
$eq: mongoose.Types.ObjectId(req.params.hospitalId)
}
}).then((hsptl)=>{
let result = hsptl.map(a => a.pocId);
User.find({
_id: { $in:result }
}).then((usr)=>{
res.json(usr);
});
});
This is the expected solution
i have total 3 collections:
1. users
2. posts
3. actions
My collections look like these:
users:
{
"_id" : ObjectId("57ee65fef5a0c032877725db"),
"fbId" : "EAAXZA4sZCZBKmgBAKe0JpJPrp7utWME6xbHT9yFD",
"name" : "Aftab",
"email" : "xxxe#hotmail.com",
"gender" : "male",
"__v" : NumberInt(0),
"updatedAt" : ISODate("2016-10-10T05:11:35.344+0000"),
"score" : NumberInt(90)
}
actions:
{
"_id" : ObjectId("57f7a0ba3a603627658afdd3"),
"updatedAt" : ISODate("2016-10-07T13:18:50.815+0000"),
"createdAt" : ISODate("2016-10-07T13:18:50.815+0000"),
"userId" : ObjectId("57ee65fef5a0c032877725db"),
"postId" : ObjectId("57f4b5e98899081203883a1b"),
"type" : "like"
}
{
"_id" : ObjectId("57f7a0ba3a603627658afdd4"),
"updatedAt" : ISODate("2016-10-07T13:18:50.815+0000"),
"createdAt" : ISODate("2016-10-07T13:18:50.815+0000"),
"userId" : ObjectId("57ee65fef5a0c032877725db"),
"postId" : ObjectId("57f4b5d58899081203883a1a"),
"type" : "dismiss"
}
posts:
{
"_id" : ObjectId("57f24593e272b5199e9351b9"),
"imgFileLocation" : "http://xxxx/buybye-platform/uploads/image-1475495315229",
"description" : "cool cool",
"title" : "Bad Image ",
"userId" : ObjectId("57f21e3d0b787d0f7ad76dd0"),
"__v" : NumberInt(0)
}
{
"_id" : ObjectId("57f4b5d58899081203883a1a"),
"imgFileLocation" : "http://xxx/buybye-platform/uploads/image-1475655125125",
"description" : "cool & cool",
"title" : "Good Image",
"userId" : ObjectId("57f21e3d0b787d0f7ad76dd0"),
"__v" : NumberInt(0)
}
user can create posts, and other users can perform actions on those posts
posts collection has a reference of userId
and actions collection has ref of userId(who performed that action), postId(on which post) and action-type(like/dislike/dismiss)
I need to query to get all actions performed on a specific user posts
I have able to get all posts against a user, which is pretty straight-forward and is an array. now I need to get all actions performed on every single post of this posts array.
If you want a solution that leverages the aggregation framework, you can use the $lookup stage that was introduced starting with MongoDB v3.2.
For example, if you want to return a result set containing the details of a post and an array of all the actions performed on that particular post, you can run the following aggregation query:
/*
* QUERY #1
*/
db.posts.aggregate([
{
$lookup: {
from: 'actions',
localField: '_id',
foreignField: 'postId',
as: 'post_actions'
}
}
]);
/*
* RESULT SET #1
*/
{
"_id" : ObjectId("57ff4512a134e614a7178c1d"),
"imgFileLocation" : "http://xxxx/buybye-platform/uploads/image-1475495315229",
"description" : "cool cool",
"title" : "Bad Image ",
"userId" : ObjectId("57f21e3d0b787d0f7ad76dd0"),
"__v" : 0,
"post_actions" : [
{
"_id" : ObjectId("57ff4563a134e614a7178c1e"),
"updatedAt" : ISODate("2016-10-07T13:18:50.815Z"),
"createdAt" : ISODate("2016-10-07T13:18:50.815Z"),
"userId" : ObjectId("57ee65fef5a0c032877725db"),
"postId" : ObjectId("57ff4512a134e614a7178c1d"),
"type" : "like"
},
{
"_id" : ObjectId("57ff4564a134e614a7178c1f"),
"updatedAt" : ISODate("2016-10-07T13:18:50.815Z"),
"createdAt" : ISODate("2016-10-07T13:18:50.815Z"),
"userId" : ObjectId("57ee65fef5a0c032877725db"),
"postId" : ObjectId("57ff4512a134e614a7178c1d"),
"type" : "share"
}
]
}
Otherwise, if you want to only retrieve the actions for a specific array of posts, you can add a $match stage in the aggregation pipeline:
const postIdsArray = [
ObjectId("57ff4512a134e614a7178c1d"),
ObjectId("57ee65fef5a0c032877725db")
];
/*
* QUERY #2
*/
db.posts.aggregate([
{
$match: {
_id: {
$in: postIdsArray
}
}
},
{
$lookup: {
from: 'actions',
localField: '_id',
foreignField: 'postId',
as: 'post_actions'
}
}
]);
Furthermore, if you would want to only retrieve the total count of actions performed on a post, you can add an $unwind stage and then $group all the results:
/*
* QUERY #3
*/
db.posts.aggregate([
{
$lookup: {
from: 'actions',
localField: '_id',
foreignField: 'postId',
as: 'post_actions'
}
},
{
$unwind: '$post_actions'
},
{
$group: {
_id: '$_id',
posts: { $sum: 1 }
}
}
]);
/*
* RESULT SET #3
*/
{ "_id" : ObjectId("57ff4512a134e614a7178c1d"), "posts" : 2 }
UPDATE #1
If you want to retrieve only the actions that are of a certain type (e.g.: like, share etc.), you can add an additional $match stage in your aggregation pipeline, after you $unwind the post_actions array retrieved in the $lookup stage.
For example, the first query would become:
/*
* UPDATED QUERY #1
*/
db.posts.aggregate([
{
$lookup: {
from: 'actions',
localField: '_id',
foreignField: 'postId',
as: 'post_actions'
}
},
{
$unwind: '$post_actions'
},
{
$match: {
"post_actions.type": 'like'
}
}
]);
The second query would become:
const postIdsArray = [
ObjectId("57ff4512a134e614a7178c1d"),
ObjectId("57ee65fef5a0c032877725db")
];
/*
* UPDATED QUERY #2
*/
db.posts.aggregate([
{
$match: {
_id: {
$in: postIdsArray
}
}
},
{
$lookup: {
from: 'actions',
localField: '_id',
foreignField: 'postId',
as: 'post_actions'
}
},
{
$unwind: '$post_actions'
},
{
$match: {
"post_actions.type": 'like'
}
}
]);
The third query would become:
/*
* UPDATED QUERY #3
*/
db.posts.aggregate([
{
$lookup: {
from: 'actions',
localField: '_id',
foreignField: 'postId',
as: 'post_actions'
}
},
{
$unwind: '$post_actions'
},
{
$match: {
"post_actions.type": 'like'
}
},
{
$group: {
_id: '$_id',
posts: { $sum: 1 }
}
}
]);