logstash - Do not get the values for [log][file][path] - logstash

I receive the data from filebeats in logstash but I do not see the value for [log][file][path].
I see othr people get the data in the logstash data, below is what I receive. There is no data from beats for the logpath. Thank you in advance for the help.
{
"_index" : "%{merchant_id}",
"_type" : "_doc",
"_id" : "gpPkankB77M3Al5AC9Cs",
"_score" : 1.0,
"_source" : {
"host" : {
"name" : "53f955bf4e04"
},
"message" : "request: \nnull",
"#version" : "1",
"#timestamp" : "2021-05-08T09:50:26.090Z",
"level" : "D",
"stacktrace" : true,
"ls_pipe" : "droid_log",
"agent" : {
"id" : "dffd6c5f-69e9-416c-b08c-f2229e6d477b",
"name" : "53f955bf4e04",
"version" : "7.12.1",
"type" : "filebeat",
"ephemeral_id" : "6417dd44-79fd-44a9-8798-5ae188f9fe62",
"hostname" : "53f955bf4e04"
},
"device" : {
"id" : "1850006639",
"tid" : "3786",
"pid" : "3732"
},
"tags" : [
"beats_input_codec_plain_applied",
"_grokparsefailure"
],
"input" : {
"type" : "log"
},
"ecs" : {
"version" : "1.8.0"
},
"logger" : "postiliondriver.parameters.PostilionParamDownloadBase"
}
}


You have a drop_fields processor in your filebeat.yml that is dropping the log field.
If you drop the field you can't use it in logstash because it does not exists in your message.
Remove the log field from the drop_fields processor and try again.

Related

How to find triple conditions in MongoDB

I have database like below.
{
"_id" : ObjectId("628bed8298b81711c01b6ab1"),
"status" : true,
"city" : "Kefar Sava",
"request" : [
{
"deadline" : {
"from" : ISODate("2022-05-03T00:00:00.000+0000"),
"to" : ISODate("2022-05-31T00:00:00.000+0000")
},
"ownerId" : "628c424431884d1c140f56bc",
"type" : "Developer",
"name" : "Apollo",
"status" : "posted",
"_id" : ObjectId("628d496d38360a30a4c39ebd"),
},
{
"deadline" : {
"from" : ISODate("2022-05-03T00:00:00.000+0000"),
"to" : ISODate("2022-06-02T00:00:00.000+0000")
},
"ownerId" : "628c424431884d1c140f56bb",
"type" : "Developer",
"name" : "Apollo",
"status" : "posted",
"_id" : ObjectId("628d4a00a4ec7e12a02e74a3"),
},
],
"date" : ISODate("2022-05-23T20:24:34.052+0000"),
"__v" : NumberInt(0),
}
I want to find by ownerId, type, city and set status to canceled.
I use
const owner = await User.findOneAndUpdate(
{$and: [{city: city, "request.ownerId": ownerId, "request.type": type }]},
{$set: {"request.$.status": "canceled"}},
{new: true})
But I can't find by type. When I change order of that(ownerId and type), then I can't find by ownerId.
Please tell me what's wrong with my code.

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 Flatten json array in spark RDD

I have created spark RDD using MongoDB data. After creating RDD I got this result.
Sample result set:
Document{{_id=5737782,
SurveyNo=54ebc800-6gd3f-11e6-8ccb-ef65b1f62b86,
currenceNo=b5ae2a30-6e09-11e6-b9e1-757ghs218348,
"QA" : [
{
"QuestionId" : "8cdffd91-1bad-11e5-aa85-d53d21cd02a4",
"QuestionText" : "How are you?",
"ScaledAnswerValue" : NumberInt(75),
"AnswerValue" : NumberInt(3),
"AnswerText" : "Horrible",
"AnsweredDate" : ISODate("2014-12-10T07:00:43.958+0000"),
"Order" : NumberInt(0),
"Status" : "Failed",
"AnswerSelectors" : [
{
"Value" : NumberInt(0),
"Text" : "Horrible",
"Order" : NumberInt(1)
},
{
"Value" : NumberInt(1),
"Text" : "Poor",
"Order" : NumberInt(2)
},
{
"Value" : NumberInt(2),
"Text" : "Fair",
"Order" : NumberInt(3)
},
{
"Value" : NumberInt(3),
"Text" : "Good",
"Order" : NumberInt(4)
},
{
"Value" : NumberInt(4),
"Text" : "Ex`enter code here`cellent",
"Order" : NumberInt(5)
}
],
"AnswerType" : "Mood"
}
]
I want to select only QA.QuestionId,QA.QuestionText,QA.ScaledAnswerValue. how I can flat this QA array.

Mongoose Query Help: Paginate, Sort, Limit on Nested Array

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'} } ])

how to delete object in array based on object property in mongodb?

This is my mongodb document.
"_id" : ObjectId("5123731f2763c9682a000001"),
"created_on" : ISODate("2013-02-19T12:42:07.835Z"),
"currentLogin" : ISODate("2013-02-22T06:03:25.603Z"),
"email" : "xxx#test.com",
"extraPhotos" : 0,
"reqmail" : [ ],
"isActivated" : true,
"lastLogin" : ISODate("2013-02-20T05:42:15.359Z"),
"linkedAccounts" : [
{
"birthday" : "11/01/1984",
"email" : "testingxxx234#gmail.com",
"expiresIn" : "5184000",
"expiryMailNotifFlag" : -1,
"extraPhotos" : 0,
"fetchFromDate" : null,
"fetchOrder" : "oldest",
"fetchUntilDate" : "04/11/2014",
"locale" : "en_US",
"optIn" : true,
"timezone" : "5.5",
"userID" : "100000207309657"
}
],
"maxLinkedAccounts" : 4,
"name" : "venu wale",
"notifications" : [
{
"_id" : ObjectId("51275fb7389b85f222000001"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:08:23.419Z")
},
{
"_id" : ObjectId("51275fe8389b85f222000002"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:09:12.385Z")
},
{
"_id" : ObjectId("51276020389b85f222000003"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:10:08.275Z")
},
{
"_id" : ObjectId("5127605d389b85f222000004"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:11:09.946Z")
},
{
"_id" : ObjectId("51276097389b85f222000005"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:12:07.384Z")
},
{
"_id" : ObjectId("512760d2389b85f222000006"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:13:06.933Z")
}
],
"password" : "638cfc167e8431c01227e4f113ec9427821b12493ed6fd3",
"phone" : "5555555555",
"photo_updated_time" : 1361341819,
"photosProcessed" : 15,
"photosToProcess" : 400,
"plan" : {
"type" : "photoOnly"
},
"salt" : "af8ab2f5866642f03d31aa3f4a24e25e287bedc7",
"updated_on" : ISODate("2013-02-19T12:42:07.835Z")
I Want to delete any one object from notifications array. I am using this query.
db.users.update({phone:'5555555555'},{$unset:{notifications:{$elemMatch:{_id:ObjectId('51276020389b85f222000003')}}}})
But its not working.

You only need to pull this element from the notifications array:
db.collection.update({phone:"5555555555"},{$pull:{notifications: {_id:ObjectId("51276020389b85f222000003")}}})
Using pull, you can remove all elements that match your inner query. The next $pull
{$pull:{ notifications: {type: "limitUsed"}}}
will remove all notifications of type "limitUsed".

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