Mongoose Query Help: Paginate, Sort, Limit on Nested Array - node.js

I am have a chat Mongoose model in the below is the sample data. If this is still not clear please revert back to me with your questions. Any help is greatly appreciated.
{
"_id" : ObjectId("5745910831a1sd58d070a8faa"),
"messages" : [
{
"user" : "user1",
"message" : "How are you user1?",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:36:00.468+0000"),
"_id" : ObjectId("5745912c31a1c58d070a904d")
},
{
"user" : "user1",
"message" : "Hello user1",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:38:53.893+0000"),
"_id" : ObjectId("5745912531a1c58d070a902e")
}
],
"createDate" : ISODate("2016-05-25T11:35:20.534+0000"),
"users" : [
"57450b4506561ff5052f0a66",
"57450d8108d8d22c06cf138f"
],
"__v" : NumberInt(0)
},
{
"_id" : ObjectId("57458e9331a1c58d070a8e30"),
"messages" : [
{
"user" : "user2",
"message" : "How are you user2",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:46:03.240+0000"),
"_id" : ObjectId("574590f331a1c58d070a8ede")
},
{
"user" : "user2",
"message" : "Hello user2",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:48:53.925+0000"),
"_id" : ObjectId("574590e931a1c58d070a8eab")
}
],
"createDate" : ISODate("2016-05-25T11:35:20.534+0000"),
"users" : [
"5745149e3aaab38706c00b64",
"57450d8108d8d22c06cf138f"
],
"__v" : NumberInt(0)
}
{
"_id" : ObjectId("5745910831a1c58d070a8faa"),
"messages" : [
{
"user" : "user3",
"message" : "How are you user3?",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:56:00.468+0000"),
"_id" : ObjectId("5745912c31a1c58d070a904d")
},
{
"user" : "user3",
"message" : "Hello user3",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:58:53.893+0000"),
"_id" : ObjectId("5745912531a1c58d070a902e")
}
],
"createDate" : ISODate("2016-05-25T11:35:20.534+0000"),
"users" : [
"57450b4506561ff5052f0a66",
"57450d8108d8d22c06cf138f"
],
"__v" : NumberInt(0)
},
{
"_id" : ObjectId("5745910831a1c58d070a8faa"),
"messages" : [
{
"user" : "user4",
"message" : "How are you user4?",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:66:00.468+0000"),
"_id" : ObjectId("5745912c31a1c58d070a904d")
},
{
"user" : "user4",
"message" : "Hello user4",
"readInd" : "N",
"createDate" : ISODate("2016-05-25T11:68:53.893+0000"),
"_id" : ObjectId("5745912531a1c58d070a902e")
}
],
"createDate" : ISODate("2016-05-25T11:35:20.534+0000"),
"users" : [
"57450b4506561ff5052f0a66",
"57450d8108d8d22c06cf138f"
],
"__v" : NumberInt(0)
}
below is the explanation:
user1 sent 2 messages at 11:36 and 11:38 respectively
user2 sent 2 messages at 11:46 and 11:48 respectively
user3 sent 2 messages at 11:56 and 11:58 respectively
user4 sent 2 messages at 11:66 and 11:68 respectively
My Expected Result is:
Pagination/limit Criteria:
show 2 records per page.
show only the Most recent message based on user.
Sample output:
Page1:
"user" : "57450d8108d8d22c06cf138f",
"message" : "How are you user4?"
"user" : "57450d8108d8d22c06cf138f",
"message" : "How are you user3?"
Page2:
"user" : "57450d8108d8d22c06cf138f",
"message" : "How are you user2"
"user" : "57450d8108d8d22c06cf138f",
"message" : "How are you user1?"

try this way of query , this is help to u
query for page one
db.getCollection('message').aggregate( [ { $match : { user : "57450d8108d8d22c06cf138f" } },
{ $unwind : "$messages" } ,
{ $sort : { 'messages.createDate' : -1} },
{ $limit : 2 },
{ $project : { _id: 0,'message':'$messages.message','user':'$messages.user'} } ])
query for next page
db.getCollection('message').aggregate( [ { $match : { user : "57450d8108d8d22c06cf138f" } },
{ $unwind : "$messages" } ,
{ $sort : { 'messages.createDate' : -1} },
{ $limit : 2 },{ $skip : 2 }
{ $project : { _id: 0,'message':'$messages.message','user':'$messages.user'} } ])

Related

Mongodb find query for array

i'm trying - find query for array in mongodb,
db.users.find({posts:{$all:[_id : ObjectId("5cc83a158ceb346aa58b1161")]}})
db.users.find( { "posts.post" : {$all : []}})
//My MongoDB collections
> db.users.find().pretty()
{
"_id" : ObjectId("5cc83a158ceb346aa58b1161"),
"friends" : [ ],
"name" : "krishna soni",
"email" : "krishnasoni#gmail.com",
"password" : "krishna",
"posts" : [
{
"_id" : ObjectId("5cc8478118195b71e2ccd517"),
"post" : "hey users",
"createdTime" : ISODate("2019-04-30T13:02:57.621Z")
},
{
"_id" : ObjectId("5cc853ec0a5fde0e431898f3"),
"post" : "hey friends it's my final post",
"createdTime" : ISODate("2019-04-30T13:55:56.119Z")
}
],
"__v" : 0
}
//expected results is following
//display given objectId's posts array
"posts" : [
{
"_id" : ObjectId("5cc8478118195b71e2ccd517"),
"post" : "hey users",
"createdTime" : ISODate("2019-04-30T13:02:57.621Z")
},
{
"_id" : ObjectId("5cc853ec0a5fde0e431898f3"),
"post" : "hey friends it's my final post",
"createdTime" : ISODate("2019-04-30T13:55:56.119Z")
}
],
You just need to pass {posts:1}
Try this:
db.users.find({"_id" : ObjectId("5cc83a158ceb346aa58b1161")},{posts:1});

How to match inside $lookup used of MongoDB aggregation?

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"
}}
])

How to count the number of values found for a field in MongoDB?

I have to find "exitState" : this is single document , if multiple documents how to find.
{
"_id" : "abc",
"exitType" : "Hang",
"exitState" : "INDIA",
"outcome" : "Successful",
"CEV" : [
{
"LogID" : "CEV",
"ReportingMode" : "N",
"Log_DateTime" : "02:23:2016 00:17:48:913",
"Log_TS" : NumberLong(1456186668913),
"ServiceType" : "TEL",
"MsgID" : "25000",
"SysName" : "test123",
"ProcessID" : "9611",
"Port" : "0",
"ModuleName" : "ArcCDR::CDR_CustomEvent",
"AppName" : "testVXML2",
"MsgTxt" : "abc::24::Test::outcome=Successful$$$exitType=Hang$$$exitState=INDIA",
"Record_Key" : "abc",
"Token1" : "24",
"CustomerName" : "Test",
"CEV_MsgTxt" : "outcome=Successful$$$exitType=Hang$$$exitState=INDIA",
"outcome" : "Successful",
"exitType" : "Hang",
"exitState" : "INDIA"
}
],
"language" : "ENGLISH",
"SC_TS" : ISODate("2016-02-23T00:17:06.060+0000"),
"SC_TimeMS" : NumberLong(1456186626060),
"CDR_SC" : {
"LogID" : "CDR",
"ReportingMode" : "N",
"Log_DateTime" : "02:23:2016 00:17:06:060",
"Log_TS" : NumberLong(1456186626060),
"ServiceType" : "TEL",
"MsgID" : "20010",
"SysName" : "test123",
"ProcessID" : "9611",
"Port" : "0",
"ModuleName" : "TEL_AnswerCall",
"AppName" : "testVXML2",
"MsgTxt" : "abc:SC:testVXML2:452:607856:0223201600170606::",
"Record_Key" : "abc",
"CDR_Type" : "SC",
"Token2" : "testVXML2",
"Token3" : "452",
"Token4" : "607856",
"Token5" : "0223201600170606"
},
" SC_TS_TZ" : ISODate("2016-02-23T00:17:06.060+0000"),
"EC_TS" : ISODate("2016-02-23T00:17:48.910+0000"),
"EC_TS_TZ" : ISODate("2016-02-23T00:17:48.910+0000"),
"EC_TimeMS" : NumberLong(1456186668910),
"CDR_EC" : {
"LogID" : "CDR",
"ReportingMode" : "N",
"Log_DateTime" : "02:23:2016 00:17:48:910",
"Log_TS" : NumberLong(1456186668910),
"ServiceType" : "TEL",
"MsgID" : "20011",
"SysName" : "test123",
"ProcessID" : "9611",
"Port" : "0",
"ModuleName" : "TEL_SRRecognizeV2",
"AppName" : "testVXML2",
"MsgTxt" : "abc:EC:02:0223201600174891::",
"Record_Key" : "abc",
"CDR_Type" : "EC",
"Token2" : "02",
"Token3" : "0223201600174891"
},
"CustomerName" : "Test"
}
Below is my query but unable to find exitState in all documents . Can you please?
dbo.ProductModel.aggregate([
{$match: {"EC_TS":{$gte:new Date(start.toISOString()), $lte:new Date(end.toISOString())}} },
{$group:
{_id: '$exitState', count : {$sum: 1} }
}
]).toArray(function(err, result4) {
console.log(+ result4[0]["exitState"]);
console.log("Total exitState=" + result4[0]["total"]);
q4result=(result4[0]["total"]);
});
});
Maybe you can filter the results:
const result5 = result4.filter((result) => result.exitState && result.exitState !== '');
const nbResults = result5.length;
db.tablename.find({},{"exitStates":1}).count()
https://www.w3resource.com/mongodb-exercises/mongodb-exercise-4.php
I can't understand what is your question exactly. if you want to know how many docs exist in the collection and count them by their exitState, this function retuns what you want. I don't know $match works like this or not, But please log the result for test before doing any action on it.
dbo.ProductModel.aggregate([
{ $match: { "EC_TS": { $gte: new Date( start.toISOString() ),
$lte: new Date( end.toISOString() ) } } },
{ $group: {_id: '$exitState', count : {$sum: 1} } }
], (err, result) => {
if (err) throw err;
console.log(result);
// result is like this:
// [ {"_id": "INDIA", "count": 3}, {"_id": "US", "count": 8} ]
});

Mongo pull object from array inside array

i have inside my mongoDB collection this document
{
"_id" : ObjectId("5b633025579fac22e74bf3be"),
"FLAGS" : [
{
"toSent" : [
{
"_id" : ObjectId("5b633025579fac22e74bf3c2"),
"phone" : "+84404040404"
},
{
"_id" : ObjectId("5b633025579fac22e74bf3c1"),
"phone" : "+212652253403"
},
{
"_id" : ObjectId("5b633025579fac22e74bf3c0"),
"phone" : "+212123456788"
}
],
"_id" : ObjectId("5b633025579fac22e74bf3bf"),
"action" : "group_p_a"
},
{
"toSent" : [
{
"_id" : ObjectId("5b633031579fac22e74bf3c9"),
"phone" : "+212651077199"
},
{
"_id" : ObjectId("5b633031579fac22e74bf3c8"),
"phone" : "+84404040404"
},
{
"_id" : ObjectId("5b633031579fac22e74bf3c7"),
"phone" : "+212652253403"
},
{
"_id" : ObjectId("5b633031579fac22e74bf3c6"),
"phone" : "+212123456788"
}
],
"_id" : ObjectId("5b633031579fac22e74bf3c5"),
"action" : "group_p_a"
}
],
"time" : ISODate("2018-08-02T16:24:05.747+0000"),
"action_user_phone" : "+212123456788",
"idGroup" : "e534379a-1580-4568-b5ec-6eaf981538d2",
"nomGroup" : "MOH FOR EVER",
"__v" : NumberInt(0)
}
TODO
I need to remove for example this element { "_id" : ObjectId("5b633025579fac22e74bf3c2"), "phone" : "+84404040404"}
WHAT I DID
GroupEvents.update({}, {$pull:{FLAGS:{$elemMatch:{toSent:{phone: "+84404040404"} }}}},function(err,ret){
if(err)
console.log("error"+err);
if(ret)
console.log(ret);
});
It remove all what's inside toSent event if it doesn't match.
Any help please
You need to use $ positional operator instead of $elemMatch here
GroupEvents.update(
{ "Flags.toSent.phone": "+84404040404" },
{ "$pull": { "FLAGS.$.toSent": { "phone": "+84404040404" }}},
)
If you want remove from every element of FLAGS array this you need to use $[] the all positional operator
GroupEvents.update(
{ "Flags.toSent.phone": "+84404040404" },
{ "$pull": { "FLAGS.$[].toSent": { "phone": "+84404040404" }}},
)

Need to apply two group in sequence and second group should will have effect on result of first group

I want to group my data on the base of factoryId field and then each factory there will be multiple orders want to again group on basis of orderId as each order can contain multiple items. Here I am giving the example of my data and what I need and first group by which I tried.
{
"_id" : ObjectId("5b3e270c42d8004cea382e87"),
"factoryId" : ObjectId("5aa76190cef23a1561b8056c"),
"productId" : ObjectId("5aa78c66cef23a1561b80893"),
"orderId" : ObjectId("5b3e270c42d8004cea382e86"),
"generatedOrderId" : "3985-166770-4554",
"productName" : "Lakme Lotion"
},
{
"_id" : ObjectId("5b3e270c42d8004cea382e88"),
"factoryId" : ObjectId("5b39aed32832f72062e51c23"),
"productId" : ObjectId("5b3cb96139cec8341df52c4b"),
"orderId" : ObjectId("5b3e270c42d8004cea382e86"),
"generatedOrderId" : "3985-166770-4554",
"productName" : "Coke"
},
{
"_id" : ObjectId("5b3e27b07fe0d94d62b76b2a"),
"factoryId" : ObjectId("5aa76190cef23a1561b8057c"),
"productId" : ObjectId("5ac21075ac347a5fbf355028"),
"orderId" : ObjectId("5b3e27b07fe0d94d62b76b27"),
"generatedOrderId" : "3985-755507-7484",
"productName" : "Spoon"
}
And I want result as:
{
"factoryId":ObjectId("5aa76190cef23a1561b8057c"),
"orders":[
{
"orderId":ObjectId("5b3e270c42d8004cea382e86")
"items":[
{
"productName":"Lakme Lotion"
},
{
"productName":"Coke"
}
]
}
]
}
Can anyone help me with this?. Any help is appreciated.
I tried and It worked for me. Sorry
db.getCollection("transactions").aggregate(
[
{
"$group" : {
"_id" : "$orderId",
"items" : {
"$push" : "$$ROOT"
}
}
},
{
"$project" : {
"orderId" : "$_id",
"items" : "$items",
"_id" : 0
}
},
{
"$unwind" : {
"path" : "$items",
"preserveNullAndEmptyArrays" : false
}
},
{
"$group" : {
"_id" : "$items.factoryId",
"orders" : {
"$push" : "$$ROOT"
}
}
},
{
"$project" : {
"factoryId" : "$_id",
"orders" : "$orders",
"_id" : 0
}
}
]
);

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