let bondNumber1 = "100000000001"
let bondNumber2 = "00000001"
let bondNumber3 = "000001"
let bondNumber4 = "0001"
I need to choose the user whose contain these bondNumber in their data and I want them separately, like the user contain bondNumber1 value retreived separately and the user who contain bondNumber2 value retreived seperatly and so on.
[{
"_id": {
"$oid": "601af5cadea1ae126ac56bab"
},
"status": "pending",
"bondNumber": "100000000001",
"date": {
"$date": "1970-01-19T15:52:59.587Z"
},
"type": "sold"
},{
"_id": {
"$oid": "601af80fdea1ae126ac56bac"
},
"status": "pending",
"bondNumber": "100000000002",
"date": {
"$date": "1970-01-19T15:53:00.172Z"
},
"type": "sold"
},{
"_id": {
"$oid": "601afc0be3abcd1b474c546a"
},
"status": "pending",
"bondNumber": "100000000003",
"date": {
"$date": "1970-01-19T15:53:01.192Z"
},
"type": "sold"
},{
"_id": {
"$oid": "601afe7ce3abcd1b474c546b"
},
"status": "pending",
"bondNumber": "100000000004",
"date": {
"$date": "1970-01-19T15:53:01.816Z"
},
"type": "active"
}]
Try this one:
let inputBondNumbers = ["100000000001","00000001","000001","0001"]
let users = await db.collectionNameHere.find({
bondNumber: {$in : inputBondNumbers}
})
Related
Given two collections users and activities, I want to enrich users.friends.user with all relevant activities, such that users.friends.user matches doc2.invitations.userId.
Below describes exactly what I would like:
user f24b189f-9e00-4d2b-b7f2-148a265fae7c is not a part of any activity, so their activities array is [].
user 223f2e04-6f0c-40a3-a88a-69d0127f2e92 is a part of an activity, so their activities array is populated with the activity object.
Raw:
db={
"users": [
{
"_id": "9c69a57f-e90a-43be-b559-449e973c6cba",
"__v": {
"$numberInt": "0"
},
"friends": [
{
"status": "ACCEPTED",
"user": "f24b189f-9e00-4d2b-b7f2-148a265fae7c"
},
{
"status": "ACCEPTED",
"user": "223f2e04-6f0c-40a3-a88a-69d0127f2e92"
}
]
}
],
"activities": [
{
"_id": {
"$oid": "63a92531bc6dea668f93bb06"
},
"invitations": [
{
"_id": {
"$oid": "63a92531bc6dea668f93bb07"
},
"userId": "9c69a57f-e90a-43be-b559-449e973c6cba",
"status": "ACCEPTED"
},
{
"_id": {
"$oid": "63a92544bc6dea668f93bb09"
},
"userId": "223f2e04-6f0c-40a3-a88a-69d0127f2e92",
"status": "ACCEPTED"
},
],
"__v": {
"$numberInt": "0"
}
}
]
}
Expected result:
"expectedResult": [
{
"_id": "9c69a57f-e90a-43be-b559-449e973c6cba",
"__v": {
"$numberInt": "0"
},
"friends": [
{
"status": "ACCEPTED",
"activities": [{
"_id": {
"$oid": "63a92531bc6dea668f93bb06"
},
"invitations": [
{
"_id": {
"$oid": "63a92531bc6dea668f93bb07"
},
"userId": "9c69a57f-e90a-43be-b559-449e973c6cba",
"status": "ACCEPTED"
},
{
"_id": {
"$oid": "63a92544bc6dea668f93bb09"
},
"userId": "223f2e04-6f0c-40a3-a88a-69d0127f2e92",
"status": "ACCEPTED"
},
],
"__v": {
"$numberInt": "0"
}
}]
},
{
"status": "ACCEPTED",
"activities": []
}
]
}
]
And here's a link to the playground.
I played around with aggregate and populate, but this use case is unlike a regular "join", which is throwing me off. Any pointers will be appreciated.
I have a collection that stores history, i.e. a new document is created every time a change is made to the data, I need to extract fields based on the max value of a date field, however my query keeps returning either all of the dates or requires me to push the fields into an array which make the data hard to analyze for an end-user.
Expected output as CSV:
MAX(DATE), docID, url, type
1579719200216, 12371, www.foodnetwork.com, food
1579719200216, 12371, www.cnn.com, news,
1579719200216, 12371, www.wikipedia.com, info
Sample Doc:
{
"document": {
"revenueGroup": "fn",
"metaDescription": "",
"metaData": {
"audit": {
"lastModified": 1312414124,
"clientId": ""
},
"entities": [],
"docId": 1313943,
"url": ""
},
"rootUrl": "",
"taggedImages": {
"totalSize": 1,
"list": [
{
"image": {
"objectId": "woman-reaching-for-basket",
"caption": "",
"url": "",
"height": 3840,
"width": 5760,
"owner": "Facebook",
"alt": "Woman reaching for basket"
},
"tags": {
"totalSize": 4,
"list": []
}
}
]
},
"title": "The 8 Best Food Items of 2020",
"socialTitle": "The 8 Best Food Items of 2020",
"primaryImage": {
"objectId": "woman-reaching-for-basket.jpg",
"caption": "",
"url": "",
"height": 3840,
"width": 5760,
"owner": "Hero Images / Getty Images",
"alt": "Woman reaching for basket in laundry room"
},
"subheading": "Reduce your footprint with these top-performing diets",
"citations": {
"list": []
},
"docId": 1313943,
"revisionId": "1313943_1579719200216",
"templateType": "LIST",
"documentState": {
"activeDate": 579719200166,
"state": "ACTIVE"
}
},
"url": "",
"items": {
"totalSize": "",
"list": [
{
"type": "recipe",
"data": {
"comInfo": {
"list": [
{
"type": "food",
"id": "https://www.foodnetwork.com"
}
]
},
"type": ""
},
"id": 4,
"uuid": "1313ida-qdad3-42c3-b41d-223q2eq2j"
},
{
"type": "recipe",
"data": {
"comInfo": {
"list": [
{
"type": "news",
"id": "https://www.cnn.com"
},
{
"type": "info",
"id": "https://www.wikipedia.com"
}
]
},
"type": "PRODUCT"
},
"id": 11,
"uuid": "318231jc-da12-4475-8994-283u130d32"
}
]
},
"vertical": "food"
}
Below query:
db.collection.aggregate([
{
$match: {
vertical: "food",
"document.documentState.state": "ACTIVE",
"document.templateType": "LIST"
}
},
{
$unwind: "$document.items"
},
{
$unwind: "$document.items.list"
},
{
$unwind: "$document.items.list.contents"
},
{
$unwind: "$document.items.list.contents.list"
},
{
$match: {
"document.items.list.contents.list.type": "recipe",
"document.revenueGroup": "fn"
}
},
{
$sort: {
"document.revisionId": -1
}
},
{
$group: {
_id: {
_id: {
docId: "$document.docId",
date: {$max: "$document.revisionId"}
},
url: "$document.items.list.contents.list.data.comInfo.list.id",
type: "$document.items.list.contents.list.data.comInfo.list.type"
}
}
},
{
$project: {
_id: 1
}
},
{
$sort: {
"document.items.list.contents.list.id": 1, "document.revisionId": -1
}
}
], {
allowDiskUse: true
})
First of all, you need to go through the documentation of the $group aggregation here.
you should be doing this instead:
{
$group: {
"_id": "$document.docId"
"date": {
$max: "$document.revisionId"
},
"url": {
$first: "$document.items.list.contents.list.data.comInfo.list.id"
},
"type": {
$first:"$document.items.list.contents.list.data.comInfo.list.type"
}
}
}
This will give you the required output.
{
"_id": {
"$oid": "5a99553c1b4a1b0922039e73"
},
"date_added": {
"$date": "2018-03-02T13:42:36.684Z"
},
"title": "Black Panther",
"__v": 14,
"alls": [
{
"name": "Mbezi",
"geocoordinates": "-6.8140361,39.2775983",
"region": "Dar es salaam",
"times": "",
"_id": {
"$oid": "5a9c74885980731a35a013b2"
}
},
{
"name": "DFM",
"geocoordinates": "-6.7726935,39.2196418",
"region": "Dar es salaam",
"times": "",
"_id": {
"$oid": "5a9c7f61bb57291a81d8309e"
}
}
]
}
How can i find alls name equals to "Mbezi" and update times to a certain value? Any links that can help me will be appreciated..
So I'm using loopback to create a RESTful node.js API. I'm using mLab for my database. I'm trying to query data that is embedded inside of my Account model.
An Account model has a property called favorites which has an array of Songs.
Here is an example:
{
"_id": {
"$oid": "58512c1b7c05c491b2cff1f6"
},
"firstName": "Matt",
"lastName": "Thomas",
"username": "mattietea",
"password": "$2a$10$dcquPHK48H5Q7FcaTyzgf.vnrUOgKpBENS9fSa0hjoaASs0uyOWba",
"email": "mattcthomas#me.com",
"_favorites": [
{
"title": "Ellusive & Eljay - Like This Before...",
"artist": "Ellusive",
"audio": "https://api.soundcloud.com/tracks/236100069/stream?client_id=90d140308348273b897fab79f44a7c89",
"image": "https://i1.sndcdn.com/artworks-000145902859-5467c0-t500x500.jpg",
"download": "https://api.soundcloud.com/tracks/236100069/download",
"url": "https://soundcloud.com/iamellusive/like-this-before",
"created": {
"$date": "2016-12-13T19:00:50.136Z"
},
"genres": {
"hipHop": 100
},
"id": "5850456247ef7e110099748b"
},
{
"title": "Dazed and Confused",
"artist": "Sir Skiff",
"audio": "https://api.soundcloud.com/tracks/103322663/stream?client_id=90d140308348273b897fab79f44a7c89",
"image": "https://i1.sndcdn.com/artworks-000054154948-m9cwii-t500x500.jpg",
"download": null,
"url": "http://soundcloud.com/skiffmusic/dazed-and-confused",
"created": {
"$date": "2016-12-13T08:49:59.128Z"
},
"genres": {
"hipHop": 100
},
"id": "584fb637fbf7df995f4341d3"
},
{
"title": "Runnat",
"artist": "Rory Fresco",
"audio": "https://api.soundcloud.com/tracks/258497600/stream?client_id=90d140308348273b897fab79f44a7c89",
"image": "https://i1.sndcdn.com/artworks-000157594908-cu10q4-t500x500.jpg",
"download": null,
"url": "http://soundcloud.com/roryxxx/runnat-2",
"created": {
"$date": "2016-12-13T08:50:52.397Z"
},
"genres": {
"hipHop": 100
},
"id": "584fb66cfbf7df995f4341d4"
},
{
"title": "Breathe (Prod. by Yuri Beat$)",
"artist": "Chiddy Bang",
"audio": "https://api.soundcloud.com/tracks/106182458/stream?client_id=90d140308348273b897fab79f44a7c89",
"image": "https://i1.sndcdn.com/artworks-000055716908-f9qdau-t500x500.jpg",
"download": null,
"url": "http://soundcloud.com/chiddybang/breathe-prod-by-yuri-beat",
"created": {
"$date": "2016-12-13T08:32:36.447Z"
},
"genres": {
"hipHop": 100
},
"id": "584fb224fbf7df995f4341ce"
}
]
}
I have an endpoint set up which returns all the favorites
api/Accounts/{id}/favorites
But I can't seem to query them. When I query all the songs from api/Songs it works but not when I query favorites.
The query I'm using is:
{'order': 'created DESC'}
I've tried multiple other queries, and none work.
Thank you!
how can get the first element using in in mongo ?
if i've a list like ['car', 'house', 'cat', dog'], and a collection which contains many documents these element, i'd like to find the first document which contain cat, and first which contains dog etc.
I've tried to use limit() but in fact it gives me only one document, which can be either car, or dog or cat etc.
is there a way to combine a limit with $in ?
Thanks
EDIT:
example of data i've:
{
"_id": {
"$oid": "51d53ace9e674607e837d62d"
},
"sensors": [{
"name": "os-hostname",
"value": "yahourt"
}, {
"name": "os-domain-name",
"value": ""
}, {
"name": "os-platform",
"value": "Win32NT"
}, {
"name": "os-fullname",
"value": "Microsoft Windows XP Professional"
}, {
"name": "os-version",
"value": "5.1.2600.131072"
}],
"type": "os",
"serial": "2_os_os-hostname_yahourt"
} {
"_id": {
"$oid": "51d53ace9e674607e837d62e"
},
"sensors": [{
"name": "cpu-id",
"value": "_Total"
}, {
"name": "cpu-usage",
"value": 37.2257042
}],
"type": "cpu",
"serial": "2_cpu_cpu-id_total"
} {
"_id": {
"$oid": "51d53ace9e674607e837d62f"
},
"sensors": [{
"name": "cpu-id",
"value": "0"
}, {
"name": "cpu-usage",
"value": 48.90282
}],
"type": "cpu",
"serial": "2_cpu_cpu-id_0"
} {
"_id": {
"$oid": "51d53ace9e674607e837d630"
},
"sensors": [{
"name": "cpu-id",
"value": "1"
}, {
"name": "cpu-usage",
"value": 25.54859
}],
"type": "cpu",
"serial": "2_cpu_cpu-id_1"
} {
"_id": {
"$oid": "51d53ace9e674607e837d631"
},
"sensors": [{
"name": "volume-name",
"value": "C:"
}, {
"name": "volume-label",
"value": ""
}, {
"name": "volume-total-size",
"value": "52427898880"
}, {
"name": "volume-total-free-space",
"value": "20305170432"
}, {
"name": "volume-percent-free-space",
"value": "38"
}, {
"name": "volume-reads-per-second",
"value": 0.0
}, {
"name": "volume-writes-per-second",
"value": 9.324152
}, {
"name": "volume-read-bytes-per-second",
"value": 0.0
}, {
"name": "volume-write-bytes-per-second",
"value": 194141.6
}, {
"name": "volume-queue-length",
"value": 0.0
}],
"type": "disk",
"serial": "2_disk_volume-name_c"
}
You cannot add a limit to $in but you could cheat by using the aggregation framework:
db.collection.aggregate([
{$match:{serial:{$in:[list_of_serials]}}},
{$sort:{_id:-1}},
{$group:{_id:'$serial',type:{$first:'$type'},sensors:{$first:'$sensors'},id:{$first:'$_id'}}}
]);
Would get a list of all first found of each type.
Edit
The update will get the last inserted according to the _id.