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I'm trying to swap out a regular mongo call for an aggregate call. the original that was working is ..
const account = await userModel
.findOne({ 'shared.username': username })
.exec();
console.log(account._id)
The new aggregate function is...
const account = await userModel.aggregate([
{
$match: {
'shared.username': username,
},
},
{
$lookup: {
as: 'photos',
foreignField: 'userId',
from: 'photos',
localField: '_id',
},
},
]);
console.log(account._id)
// ^ Error
The error im getting is
Property '_id' does not exist on type 'any[]'.ts(2339)
im sure their is _id being returned as i can see it in Studio 3T aggregation output
{
"_id" : ObjectId("5e10983cb182628af48e590a"),
"shared" : {
"currency" : "USD",
"followers" : 0,
"following" : 0,
"language" : "en",
"loggedIn" : true,
"twofactor" : false,
"warningMessage" : "verify",
"email" : "email#gmail.com",
"fullName" : "James",
"username" : "57fe31142e10",
"location" : "/57fe31142e10"
},
"photos" : [
{
"_id" : ObjectId("5e117b8f227a32597cdcbb6e"),
"category" : "Double Deckers",
"previewId" : "5e10983cb182628af48e590a/0f5d0010a4e55794419c03328184cfb45984bf43.jpg",
"published" : true,
"thumbnailId" : "5e10983cb182628af48e590a/54265d07a962f8544a9ebdc1d876775d9eeed471.jpg",
"userId" : ObjectId("5e10983cb182628af48e590a"),
"zoomId" : "5e10983cb182628af48e590a/fe0b2016a0be2b26259aaf5152ef22edfffa0c57.jpg",
"createdAt" : ISODate("2020-01-05T06:00:47.756+0000"),
"updatedAt" : ISODate("2020-01-05T06:00:47.756+0000"),
"__v" : 0
},
{
"_id" : ObjectId("5e11ab2f0f451779f70f89b1"),
"category" : "Single Decker",
"previewId" : "5e10983cb182628af48e590a/30d496e44faae1345e4c555accfdc6446fd11945.jpg",
"published" : true,
"thumbnailId" : "5e10983cb182628af48e590a/9293dd5517f694341a2e582df670dc9bbaba0763.jpg",
"userId" : ObjectId("5e10983cb182628af48e590a"),
"zoomId" : "5e10983cb182628af48e590a/0a038434e857b05ef8aa46da6dab01259ba2b03e.jpg",
"createdAt" : ISODate("2020-01-05T09:23:59.007+0000"),
"updatedAt" : ISODate("2020-01-05T09:23:59.007+0000"),
"__v" : 0
},
{
"_id" : ObjectId("5e11aba00f451779f70f89b2"),
"category" : "Midi",
"previewId" : "5e10983cb182628af48e590a/2267d14aa642d6cee86319909177ce4eef45cbcc.jpg",
"published" : true,
"thumbnailId" : "5e10983cb182628af48e590a/9d006f1ed361540ecf9d24c807a111770cf9e44f.jpg",
"userId" : ObjectId("5e10983cb182628af48e590a"),
"zoomId" : "5e10983cb182628af48e590a/88a87440a9b7845aa44c72411edddc98ea56f6b9.jpg",
"createdAt" : ISODate("2020-01-05T09:25:52.019+0000"),
"updatedAt" : ISODate("2020-01-05T09:25:52.019+0000"),
"__v" : 0
}
]
}
The error is correct, aggregation output is an Array of objects.
You want to do: (assuming the aggregation returns results)
console.log(account[0]._id)
This is the query I've been using for getting some random uniqueXperiences, in that I've lookup xpert and I want to project its _id and name.
db.getCollection('uniquexperiences').aggregate([{
'$sample': {
'size': 2
}
}, {
'$lookup': {
'from': 'users',
'as': 'Xpert',
'pipeline':[{
'$project': {
'name': 1
}
}]
}
}]);
The output I'm getting is something like this:
/* 1 */
{
"_id" : ObjectId("5b558b5997199d3ec4953e6b"),
"updatedBy" : ObjectId("5b433dbf6a93e56a21f610eb"),
"updatedAt" : ISODate("2018-10-10T10:56:36.952Z"),
"createdBy" : ObjectId("5b433dbf6a93e56a21f610eb"),
"createdAt" : ISODate("2018-07-23T08:01:29.125Z"),
"title" : "Horse riding at EIRS",
"organisationFlag" : false,
"xperienceSubCategory" : [
ObjectId("5b4de8199f07bf0b303b8c5f")
],
"xpert" : [
ObjectId("5b51b054054a962cc6f914db")
],
"description" : "Beautiful rugged landscape makes Ladakh stand apart in the country. There is indeed so much that needs to be explored here and little did we know that amongst the best ways to explore this place is riding a horse. In the remote places like Zanskar Valley, where paved roads are rare and motor biking is not every ones cup of tea, horses make an incredible means of travel. One can access to Zangla, Penzela Pass, Panikhar Fort and Zongkhul, Stongdey and Gelugpa monasteries on a horseback.",
"__v" : 4,
"images" : [
{
"public_id" : "dotttg3xm0vvqygr4n1w",
"version" : 1537776979,
"signature" : "4fb562aa4115941e78f773dd11ed6be37a337acd",
"width" : 1280,
"height" : 640,
"format" : "jpg",
"resource_type" : "image",
"url" : "http://res.cloudinary.com/xplr-qa/image/upload/v1537776979/dotttg3xm0vvqygr4n1w.jpg",
"secure_url" : "https://res.cloudinary.com/xplr-qa/image/upload/v1537776979/dotttg3xm0vvqygr4n1w.jpg",
"_id" : ObjectId("5ba89d55ac69b4784a4f3a1f")
},
{
"public_id" : "cfdepst0r2wz39rowvzd",
"version" : 1537776980,
"signature" : "e770b7354c01ffce61c2e3cb83c79456dacc5438",
"width" : 2100,
"height" : 1526,
"format" : "jpg",
"resource_type" : "image",
"url" : "http://res.cloudinary.com/xplr-qa/image/upload/v1537776980/cfdepst0r2wz39rowvzd.jpg",
"secure_url" : "https://res.cloudinary.com/xplr-qa/image/upload/v1537776980/cfdepst0r2wz39rowvzd.jpg",
"_id" : ObjectId("5ba89d55ac69b4784a4f3a1e")
},
{
"public_id" : "lqfk6twitfefrjq1h2jq",
"version" : 1537776979,
"signature" : "ad1e0079a9419bde0047228446be17218117cf2e",
"width" : 2500,
"height" : 1666,
"format" : "jpg",
"resource_type" : "image",
"url" : "http://res.cloudinary.com/xplr-qa/image/upload/v1537776979/lqfk6twitfefrjq1h2jq.jpg",
"secure_url" : "https://res.cloudinary.com/xplr-qa/image/upload/v1537776979/lqfk6twitfefrjq1h2jq.jpg",
"_id" : ObjectId("5ba89d55ac69b4784a4f3a1d")
}
],
"source" : "",
"price" : 400,
"meetingLocation" : [],
"coordinates" : [
72.955162,
19.172098
],
"purchaseCount" : 10,
"Xpert" : [
{
"_id" : ObjectId("5b518101752982066a0dcc08"),
"name" : {
"last" : "Bourdain",
"first" : "Anthony"
}
},
{
"_id" : ObjectId("5b51b054054a962cc6f914db"),
"name" : {
"last" : "Yane",
"first" : "Sid"
}
},
{
"_id" : ObjectId("5b51c00597199d3ec4953e68"),
"name" : {
"last" : "ipsum",
"first" : "Lorem"
}
},
{
"_id" : ObjectId("5b59a8cdca722c3177cf3e63"),
"name" : {
"last" : "Lorem",
"first" : "Test"
}
},
{
"_id" : ObjectId("5b5eea6e2d4b6a04b2d9d599")
},
{
"_id" : ObjectId("5b5f02e22d4b6a04b2d9d5f1")
},
{
"_id" : ObjectId("5b60364f9e866d6453fef3ea"),
"name" : {
"last" : "Lorem",
"first" : "ipsum"
}
},
{
"_id" : ObjectId("5b6d70f96aaf19087ac6d9e9"),
"name" : {
"first" : "Indrajit",
"last" : "Jadhav"
}
},
{
"_id" : ObjectId("5b6d81953da5c50974642974"),
"name" : {
"last" : "Lorem",
"first" : "shin"
}
},
{
"_id" : ObjectId("5b6d831f3da5c50974642975"),
"name" : {
"last" : "Lorem",
"first" : "Shin "
}
},
{
"_id" : ObjectId("5b6d83b83da5c50974642976"),
"name" : {
"last" : "wert",
"first" : "fadsg"
}
},
{
"_id" : ObjectId("5b6d83ee3da5c50974642977"),
"name" : {
"last" : "asdfsaf",
"first" : "sadf"
}
},
{
"_id" : ObjectId("5b7ba46cd0e5fa137805552b"),
"name" : {
"first" : "Vivek",
"last" : "Pandey"
}
},
{
"_id" : ObjectId("5b7bb359d0e5fa13780555a9"),
"name" : {
"first" : "theamalageeks",
"last" : "null"
}
},
{
"_id" : ObjectId("5b7bd19ed0e5fa137805565d"),
"name" : {
"first" : "Anikesh",
"last" : "Baburanjan"
}
},
{
"_id" : ObjectId("5b7fa359211f5649518ae311"),
"name" : {
"first" : "Akhsay",
"last" : "Gaikwad"
}
},
{
"_id" : ObjectId("5b80181fab8747537011be5c"),
"name" : {
"first" : "Sagar",
"last" : "Bisen"
}
},
{
"_id" : ObjectId("5b83f1c5de663c0dcccfb483"),
"name" : {
"first" : "INDRAJIT",
"last" : "JADHAV"
}
},
{
"_id" : ObjectId("5b92154efc790f18121f9e02"),
"name" : {
"first" : "sagar",
"last" : "bisen"
}
},
{
"_id" : ObjectId("5ba39c509350135c9951ecb6"),
"name" : {
"first" : "Anikesh",
"last" : "Baburajan"
}
},
{
"_id" : ObjectId("5ba3b8e79350135c9951ecb7"),
"name" : {
"first" : "Anurag",
"last" : "Banerjee"
}
},
{
"_id" : ObjectId("5ba3c14e9350135c9951ecb8"),
"name" : {
"first" : "Dave",
"last" : "Jhala"
}
},
{
"_id" : ObjectId("5ba4dfcf6bb5277e1d7db2af"),
"name" : {
"first" : "Mark",
"last" : "Henry"
}
},
{
"_id" : ObjectId("5ba4e1c0452d7e01ce3dd34e"),
"name" : {
"first" : "Ankita",
"last" : "Mestry"
}
},
{
"_id" : ObjectId("5ba7795b452d7e01ce3dd34f"),
"name" : {
"first" : "Abhishek",
"last" : "Gupta"
}
},
{
"_id" : ObjectId("5ba9ec5844996a4be81a0c12"),
"name" : {
"first" : "Neeti",
"last" : "Patil"
}
},
{
"_id" : ObjectId("5baa1abf44996a4be81a0c13"),
"name" : {
"first" : "Krishna",
"last" : "S"
}
},
{
"_id" : ObjectId("5bb481d4c77dd914de2cb2f7"),
"name" : {
"first" : "krishna",
"last" : "shetty"
}
}
]
}
/* 2 */
{
"_id" : ObjectId("5bab23c897f85d07b9235a19"),
"updatedBy" : ObjectId("5b433dbf6a93e56a21f610eb"),
"updatedAt" : ISODate("2018-10-10T10:57:01.790Z"),
"createdBy" : ObjectId("5b433dbf6a93e56a21f610eb"),
"createdAt" : ISODate("2018-09-26T06:14:32.637Z"),
"xpert" : ObjectId("5ba4dfcf6bb5277e1d7db2af"),
"title" : "Mumbai Temples Tour",
"images" : [
{
"public_id" : "uvmemwfwmjfl7pmv4upk",
"version" : 1537943055,
"signature" : "5358320e4f396a2ee980e767a16d4a92228c95d6",
"width" : 1440,
"height" : 900,
"format" : "jpg",
"resource_type" : "image",
"url" : "http://res.cloudinary.com/xplr-qa/image/upload/v1537943055/uvmemwfwmjfl7pmv4upk.jpg",
"secure_url" : "https://res.cloudinary.com/xplr-qa/image/upload/v1537943055/uvmemwfwmjfl7pmv4upk.jpg",
"_id" : ObjectId("5bab260f97f85d07b9235a20")
},
{
"public_id" : "zztqwdbl7ejccxmougad",
"version" : 1537943055,
"signature" : "bcb413431d518b243d801f92ff9cf0a8f9bd7682",
"width" : 1920,
"height" : 1080,
"format" : "jpg",
"resource_type" : "image",
"url" : "http://res.cloudinary.com/xplr-qa/image/upload/v1537943055/zztqwdbl7ejccxmougad.jpg",
"secure_url" : "https://res.cloudinary.com/xplr-qa/image/upload/v1537943055/zztqwdbl7ejccxmougad.jpg",
"_id" : ObjectId("5bab260f97f85d07b9235a1f")
}
],
"organisationFlag" : false,
"xperienceSubCategory" : [
ObjectId("5b616b4c9e866d6453fef3eb")
],
"description" : "Global Vipassana Pagoda is an expression of our gratitude towards the Buddha who strived for incalculable aeons to reach Supreme Enlightenment.",
"__v" : 4,
"price" : 800,
"source" : "",
"meetingLocation" : [],
"coordinates" : [
72.955162,
19.172098
],
"primaryLocation" : ObjectId("5bacb0192e0b2751f0f7f057"),
"purchaseCount" : 20,
"Xpert" : [
{
"_id" : ObjectId("5b518101752982066a0dcc08"),
"name" : {
"last" : "Bourdain",
"first" : "Anthony"
}
},
{
"_id" : ObjectId("5b51b054054a962cc6f914db"),
"name" : {
"last" : "Yane",
"first" : "Sid"
}
},
{
"_id" : ObjectId("5b51c00597199d3ec4953e68"),
"name" : {
"last" : "ipsum",
"first" : "Lorem"
}
},
{
"_id" : ObjectId("5b59a8cdca722c3177cf3e63"),
"name" : {
"last" : "Lorem",
"first" : "Test"
}
},
{
"_id" : ObjectId("5b5eea6e2d4b6a04b2d9d599")
},
{
"_id" : ObjectId("5b5f02e22d4b6a04b2d9d5f1")
},
{
"_id" : ObjectId("5b60364f9e866d6453fef3ea"),
"name" : {
"last" : "Lorem",
"first" : "ipsum"
}
},
{
"_id" : ObjectId("5b6d70f96aaf19087ac6d9e9"),
"name" : {
"first" : "Indrajit",
"last" : "Jadhav"
}
},
{
"_id" : ObjectId("5b6d81953da5c50974642974"),
"name" : {
"last" : "Lorem",
"first" : "shin"
}
},
{
"_id" : ObjectId("5b6d831f3da5c50974642975"),
"name" : {
"last" : "Lorem",
"first" : "Shin "
}
},
{
"_id" : ObjectId("5b6d83b83da5c50974642976"),
"name" : {
"last" : "wert",
"first" : "fadsg"
}
},
{
"_id" : ObjectId("5b6d83ee3da5c50974642977"),
"name" : {
"last" : "asdfsaf",
"first" : "sadf"
}
},
{
"_id" : ObjectId("5b7ba46cd0e5fa137805552b"),
"name" : {
"first" : "Vivek",
"last" : "Pandey"
}
},
{
"_id" : ObjectId("5b7bb359d0e5fa13780555a9"),
"name" : {
"first" : "theamalageeks",
"last" : "null"
}
},
{
"_id" : ObjectId("5b7bd19ed0e5fa137805565d"),
"name" : {
"first" : "Anikesh",
"last" : "Baburanjan"
}
},
{
"_id" : ObjectId("5b7fa359211f5649518ae311"),
"name" : {
"first" : "Akhsay",
"last" : "Gaikwad"
}
},
{
"_id" : ObjectId("5b80181fab8747537011be5c"),
"name" : {
"first" : "Sagar",
"last" : "Bisen"
}
},
{
"_id" : ObjectId("5b83f1c5de663c0dcccfb483"),
"name" : {
"first" : "INDRAJIT",
"last" : "JADHAV"
}
},
{
"_id" : ObjectId("5b92154efc790f18121f9e02"),
"name" : {
"first" : "sagar",
"last" : "bisen"
}
},
{
"_id" : ObjectId("5ba39c509350135c9951ecb6"),
"name" : {
"first" : "Anikesh",
"last" : "Baburajan"
}
},
{
"_id" : ObjectId("5ba3b8e79350135c9951ecb7"),
"name" : {
"first" : "Anurag",
"last" : "Banerjee"
}
},
{
"_id" : ObjectId("5ba3c14e9350135c9951ecb8"),
"name" : {
"first" : "Dave",
"last" : "Jhala"
}
},
{
"_id" : ObjectId("5ba4dfcf6bb5277e1d7db2af"),
"name" : {
"first" : "Mark",
"last" : "Henry"
}
},
{
"_id" : ObjectId("5ba4e1c0452d7e01ce3dd34e"),
"name" : {
"first" : "Ankita",
"last" : "Mestry"
}
},
{
"_id" : ObjectId("5ba7795b452d7e01ce3dd34f"),
"name" : {
"first" : "Abhishek",
"last" : "Gupta"
}
},
{
"_id" : ObjectId("5ba9ec5844996a4be81a0c12"),
"name" : {
"first" : "Neeti",
"last" : "Patil"
}
},
{
"_id" : ObjectId("5baa1abf44996a4be81a0c13"),
"name" : {
"first" : "Krishna",
"last" : "S"
}
},
{
"_id" : ObjectId("5bb481d4c77dd914de2cb2f7"),
"name" : {
"first" : "krishna",
"last" : "shetty"
}
}
]
}
Instead of getting multiple Xperts in Xpert
Now I want to match the Xpert fields _id with xpert field of the output
Use the below aggregation.
Use $lookup pipeline variant. Let expression checks for a array type for xpert and converts into array when it is not. $match to collect all the matching users documents. $project to output name from user document.
db.uniquexperiences.aggregate([
{"$sample":{"size":2}},
{"$lookup":{
"from":"users",
"let":{"xpert":{"$cond":[{"$isArray":"$xpert"},"$xpert",["$xpert"]]}},
"pipeline":[
{"$match":{"$expr":{"$in":["$_id","$$xpert"]}}},
{"$project":{"name":1}}],
"as":"Xpert"
}}
])
I've a row, which contains data like:
{
"_id" : ObjectId("5bcef76b0c9a4c194cf6d0a7"),
"userid" : ObjectId("5bc5ae4355418805b8caabb3"),
"transactionid" : "ch_1DON67EzCa9AoDtY51kialzs",
"adminid" : [
"5b5af339bc69c511816e8a2f",
"5b87948d97b752099c086708"
],
"amount" : 3220,
"ispaid" : true,
"products" : [
{
"productid" : ObjectId("5bceba35003c87043997a1d4"),
"quantity" : 2,
"price" : 200,
"type" : "product",
"isCanceled" : false,
"isDeliverd" : false,
"createdby" : "schooladmin",
"userid" : ObjectId("5b87948d97b752099c086708"),
"isReadyToPickup" : false,
"name" : "The Second Product",
"description" : " "
},
{
"productid" : ObjectId("5bc5b2df55418805b8caabbd"),
"quantity" : 2,
"price" : 100,
"type" : "product",
"isCanceled" : false,
"isDeliverd" : false,
"createdby" : "superadmin",
"userid" : ObjectId("5b5af339bc69c511816e8a2f")
},
{
"productid" : ObjectId("5bc5bc5fe84c3d028aaa269c"),
"quantity" : 2,
"price" : 100,
"type" : "product",
"isCanceled" : false,
"isDeliverd" : false,
"createdby" : "superadmin",
"userid" : ObjectId("5b5af339bc69c511816e8a2f")
}
],
"paymentUsing" : "card",
"cardBrand" : "Visa",
"country" : "US",
"paymentDate" : "2018-10-23T10:26:51.856Z"
}
I want to perform search on products object's all element. And if any of them match, that entire object will be store in array variable.
Suppose, I try to search The Second Product string from name object
of products array. then it would be give me the all element. like
[
{
"productid" : ObjectId("5bceba35003c87043997a1d4"),
"quantity" : 2,
"price" : 200,
"type" : "product",
"isCanceled" : false,
"isDeliverd" : false,
"createdby" : "schooladmin",
"userid" : ObjectId("5b87948d97b752099c086708"),
"isReadyToPickup" : false,
"name" : "The Second Product",
"description" : " "
}
]
And if two or more elements founds then it will return it array accordingly.
Please suggest me the solution.
Thank You in Advance. :)
Something like this:
db.collection.find({products: {$elemMatch: {name:'The Second Product'}}})
Using aggregation pipeline we can get the desired result.
Approach 1:
A simpler approach if we don't have nested arrays
$filter is used within $project to get the desired result
db.collection_name.aggregate([
{
$project: {
products: {
$filter: {
input: "$products",
as: "product",
cond: {
$eq: [
"$$product.name",
"The Second Product"
]
}
}
}
}
}
])
Approach 2:
$unwind to unwind the products array
$match to retrieve the matching documents
$project to project only the required output elements
db.collection_name.aggregate([
{ $unwind: "$products" },
{ $match:{"products.name":"The Second Product"} },
{ $project:{products:1}}
])
Output of the above queries(Approach 1 or Approach 2)
{
"_id" : ObjectId("5bcef76b0c9a4c194cf6d0a7"),
"products" : {
"productid" : ObjectId("5bceba35003c87043997a1d4"),
"quantity" : 2,
"price" : 200,
"type" : "product",
"isCanceled" : false,
"isDeliverd" : false,
"createdby" : "schooladmin",
"userid" : ObjectId("5b87948d97b752099c086708"),
"isReadyToPickup" : false,
"name" : "The Second Product",
"description" : " "
}
}
Can anyone help I am using $lookup for join in MongoDB to get all orders where the date is between date "X" and date "Y" and chef_id is "P". something is wrong in "date" part which is not giving data on the dates. but when I use it in single Find query it works fine and gives data between the dates. but it does not give data when I applied with $lookup for join.
Here is my query
Order.aggregate([{
"$lookup": {
"localField": "user_id",
"from": "users",
"foreignField": "_id",
"as": "order_data"
}
},
{
"$match": {
"$and": [
{ "chef_id": mongoose.Types.ObjectId(req.body.chef_id) },
{ "booking_datetime": { $gte: start_time,
$lte: end_time } }
]
}
}
], function(err, gettt) {
if (err) {
res.json({ 'message': "Error", 'status': false, 'data': err });
return false;
} else {
if (gettt.length != 0) {
res.json({ 'message': "Orders Data", 'status': true, 'data': gettt });
} else {
res.json({ 'message': "No Orders for this date", 'status': false, 'data': gettt });
}
}
});
Can anyone help me out.
my collection is here "Order" collection
{
"_id" : ObjectId("5a4256cc3f76bc45065021fc"),
"order_status" : 2,
"total_order_amount" : "160",
"booking_datetime" : ISODate("2017-12-29T23:24:00.000Z"),
"customer_address" : "121/161, South Extension part",
"user_id" : ObjectId("5a3cb4a8a188f2074714f1de"),
"chef_id" : ObjectId("5a390b07f0b3563db59cb3ca"),
"updated_at" : ISODate("2017-12-26T14:03:56.742Z"),
"created_at" : ISODate("2017-12-26T14:03:56.342Z"),
"products" : [
{
"product_id" : "5a3a50fcefc0c972377c3012",
"product_name" : "sweet corn",
"quantity" : "12",
"_id" : ObjectId("5a4256cc3f76bc45065021fd"),
"updated_at" : ISODate("2017-12-26T14:03:56.736Z"),
"created_at" : ISODate("2017-12-26T14:03:56.736Z")
},
{
"product_id" : "5a3a5119efc0c972377c3013",
"product_name" : "chilly paneer",
"quantity" : "10",
"_id" : ObjectId("5a4256cc3f76bc45065021fe"),
"updated_at" : ISODate("2017-12-26T14:03:56.736Z"),
"created_at" : ISODate("2017-12-26T14:03:56.736Z")
},
{
"product_id" : "5a3a512cefc0c972377c3014",
"product_name" : "Gulab jamun",
"quantity" : "20",
"_id" : ObjectId("5a4256cc3f76bc45065021ff"),
"updated_at" : ISODate("2017-12-26T14:03:56.736Z"),
"created_at" : ISODate("2017-12-26T14:03:56.736Z")
},
{
"product_id" : "5a3a50fcefc0c972377c3012",
"product_name" : "ali baba",
"quantity" : "56",
"_id" : ObjectId("5a4256cc3f76bc4506502200"),
"updated_at" : ISODate("2017-12-26T14:03:56.736Z"),
"created_at" : ISODate("2017-12-26T14:03:56.736Z")
}
],
"__v" : 1
and here is my User Collection
{
"_id" : ObjectId("5a623f67eaa08537fe0dba02"),
"salt" : "73824ba53291740e15d26c300c997ce1436ac678299101171af74f4980433285",
"hash" : "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",
"email" : "eduardo.llano#geocampo.co",
"firstname" : "Pedro",
"lastname" : "Peez",
"dob" : "1980-01-19",
"phone" : "3185311158",
"gender" : "male",
"latitude" : "4.6936225",
"longitude" : "-74.0730777",
"address" : "Bogota",
"divice_token" : "dcd8cf3ceefc39b8",
"prossing_form" : "1",
"status" : true,
"role" : "chef",
"updated_at" : ISODate("2018-02-01T16:09:27.465Z"),
"created_at" : ISODate("2018-01-19T18:56:39.070Z"),
"products" : [
{
"product_name" : "Producto 1",
"product_price" : "100",
"discount" : "10",
"product_ingredients" : "Pepper",
"product_description" : "Nsjdjd jsjdjdjx",
"minimum_order" : "2",
"tags" : "Indian food",
"status" : "1",
"product_image0" : "https://s3-us-west-2.amazonaws.com/rafahoproject/a47df980-7221-4fde-97cd-977cb3dd1dcf.jpg",
"product_image1" : "https://s3-us-west-2.amazonaws.com/rafahoproject/3a282cae-028c-4d4a-9a22-4c2c43d440f1.jpg",
"product_image2" : "https://s3-us-west-2.amazonaws.com/rafahoproject/1ab4373e-ec63-43fe-9b94-7b85d289c7f9.jpg",
"_id" : ObjectId("5a6602aa135fae732d5ce3d7")
},
{
"product_name" : "Bandeja Paisa",
"product_price" : 100,
"discount" : 20,
"cuisine" : "Continental",
"minimum_order" : 5,
"cooking_time_at_chef_place" : 8,
"cooking_time_at_user_home" : 10,
"tags" : "Bandeja-Paisa,Bandeja,Paisa",
"status" : "1",
"product_image0" : "https://s3-us-west-2.amazonaws.com/rafahoproject/0252161e-0e2a-4682-b7ab-0dce355be794.jpg",
"_id" : ObjectId("5a71d268947536411def9b11")
},
{
"product_name" : "Fritanga",
"product_price" : 200,
"discount" : 30,
"cuisine" : "continental",
"minimum_order" : 6,
"cooking_time_at_chef_place" : 3,
"cooking_time_at_user_home" : 5,
"tags" : "Fritanga,platter-of-grilled-meats",
"status" : "1",
"product_image0" : "https://s3-us-west-2.amazonaws.com/rafahoproject/14c39e2f-4d02-4cd1-8aa7-2f7179b5ea0c.jpg",
"_id" : ObjectId("5a71d3c6947536411def9b12")
},
{
"product_name" : "Dominican Sancocho",
"product_price" : 300,
"discount" : 50,
"cuisine" : "continental",
"minimum_order" : 5,
"cooking_time_at_chef_place" : 1,
"cooking_time_at_user_home" : 2,
"tags" : "Dominican-Sancocho,Dominican,Sancocho",
"status" : "1",
"product_image0" : "https://s3-us-west-2.amazonaws.com/rafahoproject/40a701ff-f868-492d-bee1-d65004fff024.jpg",
"_id" : ObjectId("5a71d4da947536411def9b13")
},
{
"product_name" : "Sudado de Pollo",
"product_price" : 60,
"discount" : 10,
"cuisine" : "Continental",
"minimum_order" : 3,
"cooking_time_at_chef_place" : 3,
"cooking_time_at_user_home" : 2,
"tags" : "Sudado-de-Pollo,Sudado,de-Pollo",
"status" : "1",
"product_image0" : "https://s3-us-west-2.amazonaws.com/rafahoproject/544c2ceb-839b-4263-b482-e2262c228948.jpg",
"_id" : ObjectId("5a71d6e9947536411def9b14")
}
],
"loc" : {
"coordinates" : [
-74.0730777,
4.6936225
],
"type" : "Point"
},
"__v" : 9,
}
Your syntax looks good. I still suspect there is some data type mismatch or erroneous format. I have a similar aggregate which matches a date range, and I use new Date() to convert my strings to date.
if (typeof dateBeginning === "string" && dateBeginning != "" && typeof dateEnding === "string" && dateEnding != "" && dateEnding >= dateBeginning) {
query.date = { $gte: new Date(dateBeginning), $lte: new Date(dateEnding) };
}
Here is an SO question: Date query with ISODate in mongodb doesn't seem to work
which was resolved this way.
Also, Veeram is correct; you should put your $match first. That way, MongoDb will use any indexes on the match fields that are available.
Hello i have proble searching sub document by text, i have been doing it right with query $text: {$search: "string"}, but it returns the whole document include the parent
this is my collection looks like
{
"_id" : ObjectId("56b06b7fe61af1081ceea185"),
"accountName" : "Agnes",
"address" : {
"street" : "jl. A.Yani no 23",
"city" : "Jakarta",
"province" : "DKI Jakarta",
"country" : "indonesia",
"postalCode" : "61382"
},
"__v" : NumberInt(1),
"products" : [
{
"title" : "Ayam goreng kremes",
"ingredients" : "Daging ayam, tepung terigu, bawang merah, sasa",
"description" : "",
"price" : "15000",
"_id" : ObjectId("56c191bd3da50ccc149717a5"),
"updatedAt" : ISODate("2016-02-15T08:52:13.465+0000"),
"createdAt" : ISODate("2016-02-15T08:52:13.465+0000"),
"showCounter" : NumberInt(0),
"featured" : false
},
{
"title" : "Sate Maranggi",
"ingredients" : "Daging sapi, kecap, cabai, bawang merah, bawang putih",
"description" : "Sate maranggi enak dan lezat",
"price" : "15000",
"_id" : ObjectId("56b06eae492acbbc1fd070e9"),
"pickOfTheDay" : false,
"sold" : NumberInt(0),
"featured" : true
}
]
}
{
"_id" : ObjectId("56c190203da50ccc149717a3"),
"accountName" : "acha",
"address" : {
"street" : "jl. Sudirman no 23",
"city" : "Bogor",
"province" : "Jawa Barat",
"country" : "indonesia",
"postalCode" : "61382"
},
"__v" : NumberInt(1)
"products" : [
{
"title" : "Pecel lele",
"ingredients" : "Lele, bawang merah, bawang putih, sasa, ketumbar, kemiri",
"description" : "",
"price" : "15000",
"_id" : ObjectId("56c192aa3da50ccc149717a9"),
"updatedAt" : ISODate("2016-02-15T08:56:10.716+0000"),
"createdAt" : ISODate("2016-02-15T08:56:10.716+0000"),
"showCounter" : NumberInt(0),
"featured" : false
}
]
}
and this is my search query
model.find({ $text: { $search: "Sate" } }).exec(function(err, docs){
if (err){
res.send(err);
}else{
res.send(docs);
}
and what i need is the sub document that matches the string "Sate" and the parent id if its possible.
maybe it looks like this
{
"parentID": ObjectId("56b06b7fe61af1081ceea185"),
"title" : "Sate Maranggi",
"ingredients" : "Daging sapi, kecap, cabai, bawang merah, bawang putih",
"description" : "Sate maranggi enak dan lezat",
"price" : "15000",
"_id" : ObjectId("56b06eae492acbbc1fd070e9"),
"pickOfTheDay" : false,
"sold" : NumberInt(0),
"featured" : true
}