Mongo Update not working - node.js

Below is my update code:
async.each(jsondata,
function(itemdata, callbackNew){
itemdata.store_code=parseInt(itemdata.store_code);
//console.log(itemdata.store_code);
db.mdb.collection('counters')
.update(
{"store_code": itemdata.store_code},{$set:itemdata},
{ upsert: true },
function (erreach, data) {
if (erreach) {
console.log("error reported")
console.log(erreach)
callbackNew(erreach);
}
else{
//console.log('Data updated')
callbackNew();
app.send(req,res,data);
}
})
},function(err){
if(err) {
//console.log("this is the error"+err)
app.senderr(req,res,err);
}
else{
app.send(req,res,jsondata);
}
});
But the DB is not getting changed.The values are same before and after updation.
Below is the JSON of my database.
{
"_id" : ObjectId("586aac4c8231ee0b98458045"),
"store_code" : NumberInt(10800),
"counter_name" : "R.N.Electric",
"address" : "314 khatipura road",
"locality" : "Khatipura Road (Jhotwara)",
"pincode" : "302012",
"town" : "JAIPUR",
"gtm_city" : "JAIPUR",
"sales_office" : "URAJ",
"owner_name" : "Rajeev",
"owner_mobile" : "9828024073",
"division_mapping" : [
{
"dvcode" : "cfc",
"dc" : "trade",
"beatcode" : "govindpura",
"fos" : {
"_id" : ObjectId("586ab8318231ee0b98458843"),
"loginid" : "9928483483",
"name" : "Arpit Gupta",
"division" : [
"cfc",
"iron"
],
"sales_office" : "URAJ",
"gtm_city" : "JAIPUR"
},
"beat" : {
"_id" : ObjectId("586d372b39f64316b9c3cbd7"),
"division" : {
"_id" : ObjectId("5869f8b639f6430fe4edee2a"),
"clientdvcode" : NumberInt(40),
"code" : "cfc",
"name" : "Cooking & Fabric Care",
"project_code" : "usha-fos",
"client_code" : "usha",
"agent_code" : "v5global"
},
"beatcode" : "govindpura",
"sales_office" : "URAJ",
"gtm_city" : "JAIPUR",
"active" : true,
"agency_code" : "v5global",
"client_code" : "USHA_FOS",
"proj_code" : "usha-fos",
"fos" : {
"_id" : ObjectId("586ab8318231ee0b98458843"),
"loginid" : "9928483483",
"name" : "Arpit Gupta",
"division" : [
"cfc",
"iron"
],
"sales_office" : "URAJ",
"gtm_city" : "JAIPUR"
}
}
}
],
"distributor_mail" : "sunil.todi#yahoo.in",
"project_code" : "usha-fos",
"client_code" : "usha",
"agent_code" : "v5global",
"distributor_name" : "Sundeep Electrical"
}
And below is the document which I am sending in update($set:itemdata):
{ store_code: '10800',
counter_name: 'R.N.Electrics',
address: '314 khatipura road',
locality: 'Khatipura Road (Jhotwara)',
pincode: '302012',
town: 'JAIPUR',
gtm_city: 'JAIPUR',
sales_office: 'URAJ',
owner_name: 'Rajeev',
owner_mobile: '9828024073',
distributor_mail: 'sunil.todi#yahoo.in',
distributor_name: 'Sundeep Electrical' }

Related

nodeJS mongoose how to make a special get crud

That's my mongodb data base shown in cmd as you see there is a field named test which exist a time and one other time didn't exist I want to write a get method to find field which contain only imei without test
router.get('/', (req, res, next) => {
Post.find()
.then((posts) => {
res.json(posts);
console.log(posts);
console.log("ok" + JSON.stringify(req.body) + req.body.imei);
})
.catch(err => console.log(err))
});
Here the get method it show me all data base I want to customize it.
{
"_id" : ObjectId("5eb6b927e1c2916320ab28de"),
"imei" : {
"name" : "50"
},
"test" : {
"batterieState" : "0"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bbbc09183a3e4c833ebe"),
"imei" : {
"name" : "xx"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bbcb09183a3e4c833ebf"),
"imei" : {
"name" : ""
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bc7809183a3e4c833ec0"),
"imei" : {
"name" : "865566048694354"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bcc309183a3e4c833ec1"),
"imei" : {
"name" : "865566048694354"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bd1209183a3e4c833ec2"),
"imei" : {
"name" : "865566048694354"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bdc609183a3e4c833ec3"),
"imei" : {
"name" : "865566048694354"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6be4609183a3e4c833ec4"),
"imei" : {
"name" : "xx"
},
"test" : {
"tactileState" : "0",
"pixelState" : "0",
"greyState" : "0"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6be6609183a3e4c833ec5"),
"imei" : {
"name" : "865566048694354"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6beef09183a3e4c833ec6"),
"imei" : {
"name" : "xx"
},
"test" : {
"tactileState" : "0",
"pixelState" : "0",
"greyState" : "0"
},
"__v" : 0
}
{
"_id" : ObjectId("5eb6bf8709183a3e4c833ec7"),
"imei" : {
"name" : "865566048694354"
},
"test" : {
"tactileState" : "ignore",
"pixelState" : "ignore",
"greyState" : "ignore"
},
"__v" : 0
}
I want some help for this to write this method correctly to get only fields with imei only and without test.
Use this query
Post.find({
imei: {
$exists: true
},
test: {
$exists: false
}
})
Docs of $exists operator

update particular single subdocument in nested array in nodejs mongodb

I am new to nodejs and mongo db. I have nested subdocument type schema in mongo. Document type is Process => Subprocess => tasks => configs. These are in the format of nested arrays and can be multiple.
{
"_id" : ObjectId("5bcec0ee711fe511f4848c1d"),
"process_title" : "customer acquisition",
"subprocess" : [
{
"_id" : ObjectId("5bcec0f8711fe511f4848c1e"),
"subprocess_title" : "application",
"tasks" : [
{
"_id" : ObjectId("5bcec158711fe511f4848c1f"),
"task_title" : "pre screening",
"task_slug" : "pre-screening",
"task_configs" : [
{
"_id" : ObjectId("5bcec4b912582b01b84fe47a"),
"next_task" : "thanks"
}
]
},
{
"_id" : ObjectId("5bcec190711fe511f4848c20"),
"task_title" : "thanks",
"task_slug" : "thanks",
"task_configs" : [
{
"_id" : ObjectId("5bcec469ab23ab1fc0bbb9ed"),
"form_field" : "responseMessage",
"expression" : "=",
"expression_value" : "Approved4",
"success_task" : "signup",
"success_sub_process_id" : "5bcec0f8711fe511f4848c1e",
"fail_task" : "thanks",
"fail_sub_process_id" : "5bcec0f8711fe511f4848c1e"
}
]
},
{
"_id" : ObjectId("5bcec1c3711fe511f4848c21"),
"task_title" : "signup",
"task_slug" : "signup",
"task_configs" : [
{
"_id" : ObjectId("5bcec469ab23ab1fc0bbb9ed"),
"form_field" : "responseMessage",
"expression" : "=",
"expression_value" : "Approved4",
"success_task" : "signup",
"success_sub_process_id" : "5bcec0f8711fe511f4848c1e",
"fail_task" : "thanks",
"fail_sub_process_id" : "5bcec0f8711fe511f4848c1e"
}
]
}
]
}
],
"created_at" : ISODate("2018-10-23T06:34:22.676Z"),
"updated" : ISODate("2018-10-23T06:34:22.676Z"),
"__v" : 0
}
Now I want to update task_configs for a particular task. I am updating task_config on the basis of task_slug.
I found a way myself to update above query.
Workflow.updateOne({ "_id": new ObjectId(req.body.process_id), "subprocess._id": new ObjectId(req.body.sub_process_id), "subprocess.tasks.task_slug": req.body.task_slug },
{
$set: {
'subprocess.$.tasks.$[j].task_configs': req.body.task_configs
}
},
{
arrayFilters: [
{
"j.task_configs": req.body.task_configs
}]
})
.then(function (resp) {
console.log(resp)
res.json({ status: 'success', resp });
}).catch(function (err) {
res.status(500).json(err);
})

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} ]
});

How to fetch specific fields in Mongo DB only values without keys?

My data set is following:
{ "_id" : "EVNQUERY-k9Uoo74Q3WcdmU", "event_data" : "{\"data\":\"helo\"}", "event_name" : "onOemPushAlert", "timestamp_start" : 1452678481433, "timestamp_end" : 1452678481433, "sender" : "USR-ADMIN", "status" : "pending", "query" : { "user" : { "and" : [ { "email" : { "eq" : "" } } ] } }, "updated_on" : ISODate("2016-01-13T09:48:01.459Z"), "created_on" : ISODate("2016-01-13T09:48:01.459Z") }
{ "_id" : "EVNQUERY-yAKmrbzs2JeaUY", "event_data" : "{\"data\":\"ji\"}", "event_name" : "onOemPushAlert", "timestamp_start" : 1452681060159, "timestamp_end" : 1452681060159, "sender" : "USR-ADMIN", "status" : "pending", "query" : { "user" : { "###and###" : [ { "email" : { "eq" : "" } } ] } }, "updated_on" : ISODate("2016-01-13T10:31:00.223Z"), "created_on" : ISODate("2016-01-13T10:31:00.223Z") }
{ "_id" : "EVNQUERY-0NeCstt2eJchDZ", "event_data" : "{\"data\":\"hyg\"}", "event_name" : "onOemPushAlert", "timestamp_start" : 1452681073882, "timestamp_end" : 1452681073882, "sender" : "USR-ADMIN", "status" : "pending", "query" : { "user" : { "###and###" : [ { "email" : { "eq" : "" } } ] } }, "updated_on" : ISODate("2016-01-13T10:31:13.897Z"), "created_on" : ISODate("2016-01-13T10:31:13.897Z") }
and i am running following query
db.eventqueries.find({},{_id:1})
but it give me
{ "_id" : "EVNQUERY-k9Uoo74Q3WcdmU" }
{ "_id" : "EVNQUERY-yAKmrbzs2JeaUY" }
{ "_id" : "EVNQUERY-0NeCstt2eJchDZ" }
but what i want is
["EVNQUERY-k9Uoo74Q3WcdmU", "EVNQUERY-yAKmrbzs2JeaUY", "EVNQUERY-0NeCstt2eJchDZ"]
Perform a distinct() query against the _id field on the collection:
db.eventqueries.distinct("_id")
In the node.js driver run the distinct() command which would have a callback with the results:
collection.distinct("_id", function(err, docs) {
if (err) { /* handle error */ };
console.log(docs);
});
You can use aggregation to achieve what you want. You can try this out
db.eventqueries.aggregate([
{
$group : {
keys : { $push : "_id" }
}
}
])

Resources