how to get matched data after the lookup - node.js

I am trying to get values by matching location ids. But I am getting error.in this locationId is an array like locationId[id1,id2] and location is an id.
Mongodb:
[err, assetsList] = await to(Assets.aggregate([
{
$match: {
"company" : new mongoose.Types.ObjectId(company)
// "auditAssetAvailability" : false
}
},
{
$lookup: {
from: "audits",
localField: "location",
foreignField: "locationId",
as: "asset_locations"
}
},
{
$unwind: '$asset_locations'
},
{
$match: {
"location" : { $in: [new mongoose.Types.ObjectId("asset_locations")] }
}
},
{
$project: {
"asset_locations":1,
"asset_name":1, "asset_code":1
}
},
]))
error:
message: "Argument passed in must be a single String of 12 bytes or a string of 24 hex characters"
it was working if I pass values like below:
{
$match: {
"location" : { $in: [new mongoose.Types.ObjectId("5f0968286fbe3f1278fb299f"),new mongoose.Types.ObjectId("5f09b8086fbe3f1278fb29a8")] }
}
},
Example:
Audit record:
{
"_id" : ObjectId("5fb3dcec0a3b9b4b44fb77c7"),
"locationId" : [
ObjectId("5f0968286fbe3f1278fb299f"),
ObjectId("5f09b8086fbe3f1278fb29a8")
],
"assetTypeId" : [
ObjectId("5f09683a6fbe3f1278fb29a0")
],
"auditUserId" : [
ObjectId("5f0c1a96bde0191914faa169")
],
"status" : true,
"startDate" : ISODate("2020-11-03T00:00:00.000Z"),
"endDate" : ISODate("2020-11-30T00:00:00.000Z"),
"company" : ObjectId("5f0964314a8580273c5ce687"),
"auditName" : "Q1 Audit",
"auditStatus" : ObjectId("5fb36cec93e1df254c4b97c3"),
"createdAt" : ISODate("2020-11-17T14:23:40.325Z"),
"updatedAt" : ISODate("2020-11-17T14:25:36.524Z")
}
asset record:
{
"_id" : ObjectId("5fb3e0620a3b9b4b44fb77d5"),
"discarded_date" : null,
"discordedNote" : null,
"company" : ObjectId("5f0964314a8580273c5ce687"),
"location" : ObjectId("5f09b8916fbe3f1278fb29a9"),
"statusCondition" : "stock_type"
}
Thank you in Advance.

Related

Mongoose aggregation not returning latest document

I have an aggregation that returns a document, but I need it to return a document that is the latest one in the collection messageTrackingId. The one that has the most recent value in the creationDate field I have a sort to accomplish this, but I keep getting returned documents that aren't the latest and I'm not sure why. The purpose is to show the user the time stamp of the last message sent between that user and another user regardless of who sent it. appreciate any help.
app.get("/api/messages", (req, res, next) => {
query = {};
inbox = false;
messageId = false;
console.log(req.query.recipientId);
if (req.query.recipientId) {
query = { recipientId: req.query.recipientId };
inbox = true;
Messages.aggregate([
{
$match: {
$or: [
{ recipientId: req.query.recipientId },
{ creator: mongoose.Types.ObjectId(req.query.recipientId) }
]
}
},
{
$addFields: {
conversant: {
$cond: [
{ $ne: ["$recipientId", req.query.recipientId] },
"$recipientId",
"$creator"
]
}
}
},
{
$sort: { creationDate: 1 }
},
{
$group: {
_id: "$conversant",
message: { $last: "$message" },
recipientId: { $last: "$recipientId" },
creator: { $last: "$creator" },
messageTrackingId: { $last: "$messageTrackingId" },
recipient: { $last: "$recipient" },
creationDate: { $last: "$creationDate" }
}
},
{
$lookup: {
from: "users",
let: { creator: "$creator" },
pipeline: [
{ $match: { $expr: { $eq: ["$_id", "$$creator"] } } },
{ $project: { instagramName: 1 } }
],
as: "creatorName"
}
}
]).then(documents => {
if (inbox === true) {
res.status(200).json({
message: "User's Inbox Retrieved!",
posts: documents
});
}
});
I cleared out the message table and sent 3 messsages back and forth to demonstrate. When I reload the page, I only receive 2 of the docs in the JSON response instead of the latest one. Of the 2 received, none of them seem to be the latest either. I'm not sure why it's not returning one. Please see output on page load below.
Messages :
/* 1 */
{
"_id" : "5e16463be5fcba1d2c56ebb7",
"creator" : "5e0a1d41f86e1e4234fc1a77",
"recipient" : "andy",
"recipientId" : "5df0014e25ee451beccf588a",
"message" : "First message",
"messageTrackingId" : "17c4fc99-d92f-46ef-9bae-1408f415287a",
"creatorName" : "buyer1",
"creationDate" : ISODate("2020-01-08T21:14:35.104Z"),
"__v" : 0.0
}
/* 2 */
{
"_id" : "5e16464de5fcba1d2c56ebb9",
"creator" : "5df0014e25ee451beccf588a",
"recipient" : "buyer1",
"recipientId" : "5e0a1d41f86e1e4234fc1a77",
"message" : "Second Message",
"messageTrackingId" : "17c4fc99-d92f-46ef-9bae-1408f415287a",
"creatorName" : "andy",
"creationDate" : ISODate("2020-01-08T21:14:53.618Z"),
"__v" : 0.0
}
/* 3 */
{
"_id" : "5e16465ce5fcba1d2c56ebbb",
"creator" : "5e0a1d41f86e1e4234fc1a77",
"recipient" : "andy",
"recipientId" : "5df0014e25ee451beccf588a",
"message" : "Third Message",
"messageTrackingId" : "17c4fc99-d92f-46ef-9bae-1408f415287a",
"creatorName" : "buyer1",
"creationDate" : ISODate("2020-01-08T21:15:08.500Z"),
"__v" : 0.0
}
users :
/* 1 */
{
"_id" : "5df00d08c713f722909c99c1",
"email" : "joe#gmail.com",
"password" : "$2b$10$5eWhwL4RNT8TyQRCC191J.myYBwFcJ8hCARqGfofYWUmRaq6jJFQm",
"instagramName" : "joe",
"over21" : "Yes",
"role" : "Artist",
"fullName" : "testdsfdfsfs",
"address1" : "adfsdf",
"address2" : "dssdf",
"city" : "sdfsdfsdf",
"state" : "dsffsdsd",
"zip" : "dsdfsdf",
"passwordCreated" : ISODate("2020-01-07T23:46:57.861Z"),
"__v" : 0
}
/* 2 */
{
"_id" : "5df0014e25ee451beccf588a",
"email" : "andy#gmail.com",
"password" : "$2b$10$fNHmIoDb4mX6x.YeMLXHbu2yIaeW6HVQvNpZR8Nt/a4xVFkhxM1Ey",
"instagramName" : "andy",
"over21" : "Yes",
"role" : "Artist",
"fullName" : "dsfdsfdfdsf",
"address1" : "111",
"address2" : "111",
"city" : "atlanta",
"state" : "ga",
"zip" : "33222",
"passwordCreated" : ISODate("2019-12-19T15:29:46.528Z"),
"__v" : 0
}
Required output (Return last message from each user) :
/* 1 */
{
"_id" : {
"conversant" : "5df0014e25ee451beccf588a",
"recipient" : "andy"
},
"message" : "Third Message",
"recipientId" : "5df0014e25ee451beccf588a",
"creator" : "5e0a1d41f86e1e4234fc1a77",
"messageTrackingId" : "17c4fc99-d92f-46ef-9bae-1408f415287a",
"recipient" : "andy",
"creationDate" : ISODate("2020-01-08T21:15:08.500Z"),
"creatorName" : [
{
"_id" : "5df0014e25ee451beccf588a",
"instagramName" : "andy"
}
]
}
/* 2 */
{
"_id" : {
"conversant" : "5df0014e25ee451beccf588a",
"recipient" : "buyer1"
},
"message" : "Second Message",
"recipientId" : "5e0a1d41f86e1e4234fc1a77",
"creator" : "5df0014e25ee451beccf588a",
"messageTrackingId" : "17c4fc99-d92f-46ef-9bae-1408f415287a",
"recipient" : "buyer1",
"creationDate" : ISODate("2020-01-08T21:14:53.618Z"),
"creatorName" : [
{
"_id" : "5df0014e25ee451beccf588a",
"instagramName" : "andy"
}
]
}
Changes has to be
1) If I understand correctly at this stage you wanted to group by recipientId on a field(since you can't group on two fields for a single value) So you're creating a new field called conversant, So it has to be $eq or you need to swap recipientId & creator & also it has to be $toString:
{
$addFields: {
conversant: {
$cond: [
{ $eq: ["$recipientId", req.query.recipientId] },
"$recipientId",
{$toString : "$creator"}
]
}
}
}
2) You don't need this $sort stage, as all latest additions to collection will be added at the end (Expecting creationDate is once created but never updated) :
// Not useful
{
$sort: { creationDate: 1 }
}
Also you need to group by _id: { conversant: "$conversant", recipient: '$recipient' } for group on last messages based on user. In $lookup change to this let: { conversant: "$_id.conversant" }.
Try this :
Messages.aggregate([
{
$match: {
$or: [
{ recipientId: req.query.recipientId },
{ creator: mongoose.Types.ObjectId(req.query.recipientId) }
]
}
},
{
$addFields: {
conversant: {
$cond: [
{ $eq: ["$recipientId", req.query.recipientId] },
"$recipientId",
{ $toString: "$creator" }
]
}
}
},
{
$group: {
_id: { conversant: "$conversant", recipient: '$recipient' },
message: { $last: "$message" },
recipientId: { $last: "$recipientId" },
creator: { $last: "$creator" },
messageTrackingId: { $last: "$messageTrackingId" },
recipient: { $last: "$recipient" },
creationDate: { $last: "$creationDate" }
}
},
{
$lookup: {
from: "users",
let: { conversant: "$_id.conversant" },
pipeline: [
{ $match: { $expr: { $eq: ["$_id", "$$conversant"] } } },
{ $project: { instagramName: 1 } }
],
as: "creatorName"
}
},
// this is optional only if you wanted to return latest document irrespective of user.
{ $sort: { creationDate: -1 } }
])

Mongoose: how to use aggregate and flatten subdocument to list

How can i get this result in this situation?
I have one collection named coins
[
{
"_id" : ObjectId("5dc8c47f638267be1b00e808"),
"mintTxid" : "abc371bb13034ed6acf96a39e09b22347f0038002eb8a21493032885ba6b77da",
"address" : "mokZmpYj3vSqghQaZXZ8AGt1oo1HyidLow",
"spentTxid" : "fddc7f7c6492e0cf670ff4f96e7aaaeeee3d75c51538a35286b66b6707260b46"
},
{
"_id" : ObjectId("5dc91d0d638267be1b21c2eb"),
"mintTxid" : "fddc7f7c6492e0cf670ff4f96e7aaaeeee3d75c51538a35286b66b6707260b46",
"address" : "mwE7bR8nLF9G1jUY17DzRhdWRrs4fGppvA"
}
]
I used $lookup and joined itself(spentTxid = mintTxid)
db.getCollection('coins').aggregate([
{ $match: {'address': 'mokZmpYj3vSqghQaZXZ8AGt1oo1HyidLow'}},
{
$lookup: {
from: 'coins',
localField: 'spentTxid',
foreignField: 'mintTxid',
as: 'spents'
}
},
{
$unwind: {
path: '$spents',
preserveNullAndEmptyArrays: true
}
}
])
And here is a result
{
"_id" : ObjectId("5dc8c47f638267be1b00e808"),
"mintTxid" : "abc371bb13034ed6acf96a39e09b22347f0038002eb8a21493032885ba6b77da",
"address" : "mokZmpYj3vSqghQaZXZ8AGt1oo1HyidLow",
"spentTxid" : "fddc7f7c6492e0cf670ff4f96e7aaaeeee3d75c51538a35286b66b6707260b46",
"spents" : {
"_id" : ObjectId("5dc91d0d638267be1b21c2eb"),
"mintTxid" : "fddc7f7c6492e0cf670ff4f96e7aaaeeee3d75c51538a35286b66b6707260b46",
"address" : "mwE7bR8nLF9G1jUY17DzRhdWRrs4fGppvA",
}
}
How can i get a result like this? i used $replaceRoot option, But that option return only child.
[
{
"_id" : ObjectId("5dc8c47f638267be1b00e808"),
"mintTxid" : "abc371bb13034ed6acf96a39e09b22347f0038002eb8a21493032885ba6b77da",
"address" : "mokZmpYj3vSqghQaZXZ8AGt1oo1HyidLow",
"spentTxid" : "fddc7f7c6492e0cf670ff4f96e7aaaeeee3d75c51538a35286b66b6707260b46",
},
{
"_id" : ObjectId("5dc91d0d638267be1b21c2eb"),
"mintTxid" : "fddc7f7c6492e0cf670ff4f96e7aaaeeee3d75c51538a35286b66b6707260b46",
"address" : "mwE7bR8nLF9G1jUY17DzRhdWRrs4fGppvA",
}
]
Please help me...
After aggregate add below pipeline stages and then try:
{
$project: {
array: {
$concatArrays: [
[
{
_id: "$$ROOT._id",
address: "$$ROOT.address",
mintTxid: "$$ROOT.mintTxid",
spentTxid: "$$ROOT.spentTxid",
}
],
[
"$$ROOT.spents"
]
]
}
}
},
{
$unwind: "$array"
},
{
$replaceRoot: {
newRoot: "$array"
}
}
in project we create a new array in which we push two arrays as per our requirements
unwind the array
replace root with data in ROOT

How to use aggregation correctly in MongoDB with embbeded documents?

I have a collection with folowing data:
{
"_id" : ObjectId("5b5066b716d3112cfc2a5deb"),
"username" : "admin",
"password" : "123456",
"token" : "0123",
"bots" : [
{
"name" : "mybot",
"installations" : [
{
"date" : ISODate("2018-07-19T10:23:51.774Z")
},
{
"date" : ISODate("2018-07-19T10:23:51.774Z")
}
],
"commands" : [
{
"name" : "read",
"date" : ISODate("2018-07-19T10:23:51.774Z")
},
{
"name" : "answer",
"date" : ISODate("2018-07-19T10:23:51.774Z")
},
{
"name" : "get",
"date" : ISODate("2018-07-19T11:55:28.858Z")
},
{
"name" : "get",
"date" : ISODate("2018-07-19T11:56:47.419Z")
},
{
"name" : "get",
"date" : ISODate("2018-07-19T11:56:48.499Z")
},
{
"name" : "get",
"date" : ISODate("2018-07-19T11:56:49.089Z")
}
]
}
]
},
{
"_id" : ObjectId("5b50bbfe3ed35b6f2bde6923"),
"username" : "user",
"password" : "123456",
"token" : "44444",
"bots" : [
{
"name" : "anotherBotName",
"installations" : [
{
"date" : ISODate("2018-07-19T16:27:42.012Z")
},
{
"date" : ISODate("2018-07-19T16:27:42.012Z")
}
],
"commands" : [
{
"name" : "update",
"date" : ISODate("2018-07-19T16:27:42.012Z")
},
{
"name" : "update",
"date" : ISODate("2018-07-19T16:27:42.012Z")
}
]
}
]
}
I want to execute SQL-equivalent query
SELECT commands.name, COUNT(commands.name), GROUP BY commands.name
and get a result like:
[
{update: 2},
{get: 4},
{read: 1},
{answer: 1}
]
but when I execute this query in mongo:
.collection(collectionName).aggregate({{'$group': {_id: "$bots.commands.name",count:{$sum:1}}}
}).toArray(callback)
I get such a result:
[
{
_id: [
[ 'test', 'test1' ]
],
count: 1
},
{
_id: [
[ 'read', 'answer', 'get', 'get', 'get', 'get' ]
],
count: 1
}
]
I googled and read about agregation in MongoDB and still don't get much. It's hard to move from SQL to NoN-SQL database
My questions are:
Why my query shows not the result I want to see?
How to fix it?
Thanks in advance!
Since you have two nested arrays in your schema you should use $unwind operator twice before you apply your $group. After $unwind you'll get separate document for each name. Try:
db.col.aggregate([
{
$unwind: "$bots"
},
{
$unwind: "$bots.commands"
},
{
$group: {
_id: "$bots.commands.name",
count: { $sum: 1 }
}
},
{
$replaceRoot: {
newRoot: {
$let: {
vars: { obj: [ { k: "$_id", v: "$count" } ] },
in: { $arrayToObject: "$$obj" }
}
}
}
}
])
In the last stage you can use $replaceRoot with $arrayToObject to set _id as keys in your final objects.
Outputs:
{ "update" : 2 }
{ "get" : 4 }
{ "answer" : 1 }
{ "read" : 1 }

comapare array of id in and get value through lookup mongoDB

my collection Stucture is like below:
{"_id" : ObjectId("5aec2ce5020ba15d2fb2665a"),
"password" : "e10adc3949ba59abbe56e057f20f883e",
"unique_id" : 22,
"first_name" : "Foram",
"last_name" : "Test ",
"country_phone_code" : "+61",
"email" : "a#a.com",
"phone" : "1231231231",
"device_type" : "android",
"admintypeid" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"vehicle_detail" : [
{
"service_name" : "You",
"_id" : ObjectId("5aec2d08020ba15d2fb2665c"),
"name" : "Qee",
"plate_no" : "Qwe111",
"model" : "Qee",
"color" : "Blue",
"passing_year" : "2005",
"service_type" : [
ObjectId("5a9f9c53b9e8fa66f9b934c1")
],
"admin_type_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"is_selected" : true,
"pictureData" : "vehicle_images/5aec2d08020ba15d2fb2665cWjyP.jpg"
},
{
"pictureData" : "vehicle_images/5aec35e00efc106080e14ec7y2tO.jpg",
"is_selected" : false,
"admin_type_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"service_type" : [
ObjectId("5a9f9c53b9e8fa66f9b934c1"),
ObjectId("5ac954b7075e16583dc3311f")
],
"passing_year" : "2018",
"color" : "No",
"model" : "Bcs",
"plate_no" : "12112",
"name" : "Bcs",
"_id" : ObjectId("5aec35e00efc106080e14ec7"),
"service_name" : "You"
}
],
"service_type" : [
ObjectId("5a9f9c53b9e8fa66f9b934c1")
],
"is_vehicle_document_uploaded" : true,
"is_trip" : [],
"__v" : 14
}
i want to campare ids in my service_type array which is in vehicle_detail array
to another collection named city_types than from that i have to comapare typid of city_types collection to tyes collection and get value of name from type collection
my city_type collection would be something like below
{
"_id" : ObjectId("5a9f9c53b9e8fa66f9b934c1"),
"countryid" : ObjectId("5abb275fd20731597cc01229"),
"cityid" : ObjectId("5abb27cbd20731597cc0122a"),
"typeid" : ObjectId("5a9f9b55b9e8fa66f9b934c0")
"__v" : 0}
containing type_id
and my types collection is like below
{
"_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"typename" : "You",
"description" : "KARRU You",
"__v" : 0,
"main_type" : 0
}
what i want it name of type
from id
i have used code below:
exports.get_provider_vehicle_list = function (req, res, next) {
var mongoose = require('mongoose');
var Schema = mongoose.Types.ObjectId;
var condition = {$match: {"_id": Schema(req.body.provider_id)}};
var vunwind = {$unwind: "$vehicle_detail"}
var lookup = {
$lookup:
{
from: "types",
localField: "vehicle_detail.admin_type_id",
foreignField: "_id",
as: "type_detail"
}
};
var unwind = {$unwind: {
path: "$type_detail",
preserveNullAndEmptyArrays: true
}
};
var group = {$group: {
_id: null,
"vehicle_detail": {$push: {
is_selected: "$vehicle_detail.is_selected",
admin_type_id: "$vehicle_detail.admin_type_id",
service_type: "$vehicle_detail.service_type",
passing_year: "$vehicle_detail.passing_year",
color: "$vehicle_detail.color",
model: "$vehicle_detail.model",
plate_no: "$vehicle_detail.plate_no",
name: "$vehicle_detail.name",
_id: "$vehicle_detail._id",
type_image_url: '$type_detail.type_image_url',
service_name:"$vehicle_detail.service_name",
pictureData:"$vehicle_detail.pictureData"
}}
}
}
Provider.aggregate([condition, vunwind, lookup, unwind, group], function (err, provider) {
if (err || provider.length == 0) {
res.json({success: true, vehicle_list: []})
} else {
res.json({success: true, vehicle_list: provider[0].vehicle_detail})
}
})
};
and my res is like below:
{
"success": true,
"vehicle_list": [
{
"is_selected": true,
"admin_type_id": "5a9f9b55b9e8fa66f9b934c0",
"service_type": [
"5a9f9c53b9e8fa66f9b934c1",
"5ac954b7075e16583dc3311f"
],
"passing_year": "2005",
"color": "Blue",
"model": "Qee",
"plate_no": "Qwe111",
"name": "Qee",
"_id": "5aec2d08020ba15d2fb2665c",
"type_image_url": "service_type_images/5a9f9b55b9e8fa66f9b934c0mjYA.png",
"service_name": "You",
"pictureData": "vehicle_images/5aec2d08020ba15d2fb2665cWjyP.jpg"
}
]
}
and res i want is below
{
"success": true,
"vehicle_list": [
{
"is_selected": true,
"admin_type_id": "5a9f9b55b9e8fa66f9b934c0",
"service_type": [
"5a9f9c53b9e8fa66f9b934c1",
"5ac954b7075e16583dc3311f"
],
"passing_year": "2005",
"color": "Blue",
"model": "Qee",
"plate_no": "Qwe111",
"name": "Qee",
"_id": "5aec2d08020ba15d2fb2665c",
"type_image_url": "service_type_images/5a9f9b55b9e8fa66f9b934c0mjYA.png",
"service_type_name": [
"You"
],
"service_name": "You",
"pictureData": "vehicle_images/5aec2d08020ba15d2fb2665cWjyP.jpg"
}
]
}
please check.
db.getCollection('vehicle').aggregate([
{
$unwind: {
path: '$vehicle_detail',
preserveNullAndEmptyArrays: true,
},
},
{
$unwind: {
path: '$vehicle_detail.service_type',
preserveNullAndEmptyArrays: true,
},
},
{
$lookup: {
from: 'city_type',
localField: 'vehicle_detail.service_type',
foreignField: '_id',
as: 'city_type',
},
},
{
$unwind: {
path: '$city_type',
preserveNullAndEmptyArrays: true,
},
},
{
$lookup: {
from: 'types',
localField: 'city_type.typeid',
foreignField: '_id',
as: 'types',
},
},
{
$unwind: {
path: '$types',
preserveNullAndEmptyArrays: false,
},
},
{
$group: {
_id: '$_id',
first_name: { $first: 1 },
last_name: { $first: 1 },
types: { $first: '$types' },
},
},
])
Result
{
"_id" : ObjectId("5aec2ce5020ba15d2fb2665a"),
"first_name" : 1.0,
"last_name" : 1.0,
"types" : {
"_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"typename" : "You",
"description" : "KARRU You",
"__v" : 0,
"main_type" : 0
}
}
Note : You can added fields in group which you need.
I am sending what I understood from your explanation. I hope it helps.
Some points:
I changed your objects city_types and types to an array, since you said Collections;
I link the id to match Vehicle->city->types
function ObjectId(id){
return id;
}
var obj = {"_id" : ObjectId("5aec2ce5020ba15d2fb2665a"),
"password" : "e10adc3949ba59abbe56e057f20f883e",
"unique_id" : 22,
"first_name" : "Foram",
"last_name" : "Test ",
"country_phone_code" : "+61",
"email" : "a#a.com",
"phone" : "1231231231",
"device_type" : "android",
"admintypeid" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"vehicle_detail" : [
{
"service_name" : "Service 1",
"_id" : ObjectId("5aec2d08020ba15d2fb2665c"),
"name" : "Qee",
"plate_no" : "Qwe111",
"model" : "Qee",
"color" : "Blue",
"passing_year" : "2005",
"service_type" : [
ObjectId("5a9f9c53b9e8fa66f9b934c1")
],
"admin_type_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"is_selected" : true,
"pictureData" : "vehicle_images/5aec2d08020ba15d2fb2665cWjyP.jpg"
},
{
"pictureData" : "vehicle_images/5aec35e00efc106080e14ec7y2tO.jpg",
"is_selected" : false,
"admin_type_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"service_type" : [
ObjectId("5a9f9c53b9e8fa66f9b934c1"),
ObjectId("5ac954b7075e16583dc3311f")
],
"passing_year" : "2018",
"color" : "No",
"model" : "Bcs",
"plate_no" : "12112",
"name" : "Bcs",
"_id" : ObjectId("5aec35e00efc106080e14ec7"),
"service_name" : "Service 2"
}
],
"service_type" : [
ObjectId("5a9f9c53b9e8fa66f9b934c1")
],
"is_vehicle_document_uploaded" : true,
"is_trip" : [],
"__v" : 14
};
var city_types = [{
"_id" : ObjectId("5aec2d08020ba15d2fb2665c"),
"countryid" : ObjectId("5abb275fd20731597cc01229"),
"cityid" : ObjectId("5abb27cbd20731597cc0122a"),
"typeid" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"__v" : 0
}];
var types = [{
"_id" : ObjectId("5a9f9b55b9e8fa66f9b934c0"),
"typename" : "You",
"description" : "KARRU You",
"__v" : 0,
"main_type" : 0
}];
function print() {
//iterate over vehicle_detail
obj.vehicle_detail.forEach((vehicle)=>{
console.log("vehicle="+ vehicle._id);
//iterate over cities type
city_types.forEach((city)=> {
console.log("city="+ city._id);
if (city._id == vehicle._id) {
//iterate over types
types.forEach((type)=> {
console.log("type="+ type._id);
if (city.typeid == type._id) {
console.log("Type Name: "+type.typename);
}
})
}
})
});
}
print();
The output of the program is:
>node index4.js
vehicle=5aec2d08020ba15d2fb2665c
city=5aec2d08020ba15d2fb2665c
type=5a9f9b55b9e8fa66f9b934c0
Type Name: You
vehicle=5aec35e00efc106080e14ec7
city=5aec2d08020ba15d2fb2665c

Get array elements across all documents in the collection that match a specific array element content

I have the following document structure in my MongoDB and I am trying to return an array of objects containing all prices for itemID "5a59c587fa9b4a212b0a1312" across all documents using the following query but unfortunately it is always returning an empty array. Can someone please advice what I might be doing wrong here? and how I can get such a result?
Note: I am using promised-mongo in a Node.js app to access my MongoDB
Query I tried:
{ transDetails: { $elemMatch: { itemID: "5a59c587fa9b4a212b0a1312" } } }
DB sample:
{
"_id" : ObjectId("5a688e7ea52deb6d4a6b6663"),
"transactionID" : "1",
"transDetails" : [
{
"itemID" : "5a59c587fa9b4a212b0a1312",
"price" : "22"
},
{
"itemID" : "5a59c95b081c6c612bd17058",
"price" : "24"
}
] }
{
"_id" : ObjectId("5a6aa99a52deb6d4a67714"),
"transactionID" : "2",
"transDetails" : [
{
"itemID" : "5a59c587fa9b4a212b0a1312",
"price" : "35"
},
{
"itemID" : "5a59c95b081c6c612bd17058",
"price" : "24"
}
] }
Find with projection to have only matched items in the transDetails:
.find({"transDetails.itemID": "5a59c587fa9b4a212b0a1312"}, {_id:0, "transDetails.$": 1})
Will return
{
"transDetails" : [
{
"itemID" : "5a59c587fa9b4a212b0a1312",
"price" : "22"
}
]
},
{
"transDetails" : [
{
"itemID" : "5a59c587fa9b4a212b0a1312",
"price" : "35"
}
]
},
....
Wish you re-shape the documents, you can use aggregation:
.aggregate([
{ $match: { "transDetails.itemID": "5a59c587fa9b4a212b0a1312" } },
{ $project: {
_id: 0,
transDetails: {
$filter: {
input: "$transDetails",
as: "item",
cond: { $eq: [ "$$item.itemID", "5a59c587fa9b4a212b0a1312" ] }
}
}
} },
{ $unwind: "$transDetails"},
{ $project: {price: "$transDetails.price"}}
])
Which will give you
{
"price" : "22"
},
{
"price" : "35"
},
...

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