i have used this schema
conversation_id: 12345,
time: time,
members: ['user1', 'user2'],
messages: [
{
sender: 'user1',
message: 'Hello World',
timestamp: time
},
{
sender: 'user1',
message: 'Hello World',
timestamp: time
}],
total_messages: 2
}
but i need to know how to get all the results by sorted
db.chats.aggregate(
{
/**
* query: The query in MQL.
*/
$match: {
"members": {
"$all": [
ObjectId('63ad8631e0d6cfe452b80677'),
ObjectId('63adadf287e482e6f128ec0e'),
]
}
},
},
{
/**
* Provide any number of field/order pairs.
*/
$sort: {
"created_at": -1
}
},
{
/**
* specifications: The fields to
* include or exclude.
*/
$project: {
"_id": 0,
// "members": 1,
"result": {
$sortArray: {input: "$message", sortBy: {created_at: -1}}
}
}
},
)
I have used this.. but thing is every things are in result block and I want it to in one array so I can fetch previous messages with $limit and $skip so I can send back to API of user message..
here is my sample data
[
{
"result": [
{
"uuid": "df359053-5b69-4fc3-ac42-57aaf70ec9d9",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00011",
"created_at": {
"$date": "2023-01-10T19:52:26Z"
}
},
{
"uuid": "0cfe04ab-ccf2-4eb9-8760-d3471f033ea6",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00010",
"created_at": {
"$date": "2023-01-10T19:52:15Z"
}
}
]
},
{
"result": [
{
"uuid": "fe54bf97-5dad-4d3f-ada8-ea1f1ab31039",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00010",
"created_at": {
"$date": "2023-01-10T19:52:14Z"
}
},
{
"uuid": "9face81d-b989-4662-a090-2f8f498b1a7b",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00010",
"created_at": {
"$date": "2023-01-10T19:52:12Z"
}
},
{
"uuid": "8578ce16-f3ac-4ceb-b779-0c1f3e8fec2f",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00010",
"created_at": {
"$date": "2023-01-10T19:51:02Z"
}
}
]
},
{
"result": [
{
"uuid": "ef6f12e0-b601-4377-8ff9-28921799985b",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00009",
"created_at": {
"$date": "2023-01-10T19:51:00Z"
}
},
{
"uuid": "6fcbcc3b-ff09-4e1c-9ce5-d73790911592",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00008",
"created_at": {
"$date": "2023-01-10T19:50:47Z"
}
},
{
"uuid": "fdde26cd-6688-466a-be61-37ac8e312a70",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00007",
"created_at": {
"$date": "2023-01-10T19:49:33Z"
}
}
]
},
{
"result": [
{
"uuid": "fdde26cd-6688-466a-be61-37ac8e312a70",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00007",
"created_at": {
"$date": "2023-01-10T19:49:33Z"
}
},
{
"uuid": "fb72bef2-ceff-4e22-80cd-b54da6ba6f01",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00006",
"created_at": {
"$date": "2023-01-10T19:48:51Z"
}
},
{
"uuid": "3ffee1e6-8eb4-4a93-99a2-329576dc7754",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00005",
"created_at": {
"$date": "2023-01-10T19:48:34Z"
}
},
{
"uuid": "927726bd-acc9-461b-98db-9ce07cca5ff0",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00004",
"created_at": {
"$date": "2023-01-10T19:48:31Z"
}
}
]
},
{
"result": [
{
"uuid": "927726bd-acc9-461b-98db-9ce07cca5ff0",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00004",
"created_at": {
"$date": "2023-01-10T19:48:31Z"
}
},
{
"uuid": "664cb8fb-0284-4ad2-af1f-d9458fb09c24",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00003",
"created_at": {
"$date": "2023-01-10T19:48:25Z"
}
},
{
"uuid": "460e8a5a-327f-47c9-a8c3-76772cca4cc7",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
},
{
"uuid": "ed4e5060-45f9-4f4a-a6a0-e45eddbd64bc",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
}
]
},
{
"result": [
{
"uuid": "a45e6738-afb4-47aa-a8f4-fdf1d70eeb5f",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
},
{
"uuid": "466b8569-12c4-4d06-8572-eb5999f0e4ae",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
},
{
"uuid": "314b60eb-1eaf-4a72-a7a6-528ab474a0d9",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
},
{
"uuid": "460e8a5a-327f-47c9-a8c3-76772cca4cc7",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
}
]
},
{
"result": [
{
"uuid": "a45e6738-afb4-47aa-a8f4-fdf1d70eeb5f",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:22:03Z"
}
},
{
"uuid": "4f56f58d-1b0c-48f9-b3b6-c63020068760",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00002",
"created_at": {
"$date": "2023-01-10T19:21:55Z"
}
},
{
"uuid": "4fb86042-93ef-4209-88ca-8c287f16a2f6",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "00001",
"created_at": {
"$date": "2023-01-10T19:20:30Z"
}
},
{
"uuid": "3a6dc43d-bdb5-41b9-be93-15ab389380a9",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "New Docu ",
"created_at": {
"$date": "2023-01-10T18:44:01Z"
}
}
]
},
{
"result": [
{
"uuid": "69b1dd00-8ecf-4ba3-8df4-2cbba3887505",
"sender": {
"$oid": "63adadf287e482e6f128ec0e"
},
"message": "88888888888888888888",
"created_at": {
"$date": "2023-01-10T16:01:22Z"
}
},
{
"uuid": "3ea03321-3c99-48b6-a7fd-2cc5fa514fb3",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "0000000000000",
"created_at": {
"$date": "2023-01-10T15:51:20Z"
}
},
{
"uuid": "c8e35012-1106-4e3f-b678-6040002d54b8",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "pppppp",
"created_at": {
"$date": "2023-01-10T15:40:24Z"
}
}
]
},
{
"result": [
{
"uuid": "b78f1288-5363-4b0f-9bbe-ddf73f60fac1",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "Kio nn sass,,,",
"created_at": {
"$date": "2023-01-10T18:46:39Z"
}
},
{
"uuid": "94e3ae3a-eb2c-4ceb-b580-e97f4ec49aba",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "Kio nn sass,,,",
"created_at": {
"$date": "2023-01-10T18:44:57Z"
}
},
{
"uuid": "80c86174-9836-477b-b0d3-e4cb968b015a",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "Another messgee 2",
"created_at": {
"$date": "2023-01-10T18:44:45Z"
}
},
{
"uuid": "3a6dc43d-bdb5-41b9-be93-15ab389380a9",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "New Docu ",
"created_at": {
"$date": "2023-01-10T18:44:01Z"
}
},
{
"uuid": "69b1dd00-8ecf-4ba3-8df4-2cbba3887505",
"sender": {
"$oid": "63adadf287e482e6f128ec0e"
},
"message": "i am fine thanks",
"created_at": {
"$date": "2023-01-10T16:01:22Z"
}
},
{
"uuid": "3ea03321-3c99-48b6-a7fd-2cc5fa514fb3",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "Buddy hhh.. ",
"created_at": {
"$date": "2023-01-10T15:51:20Z"
}
},
{
"uuid": "c8e35012-1106-4e3f-b678-6040002d54b8",
"sender": {
"$oid": "63ad8631e0d6cfe452b80677"
},
"message": "LOL How are you ",
"created_at": {
"$date": "2023-01-10T15:36:24Z"
}
}
]
}
]
I have made 3 messages collection document after 3 new document is created.. i will make it 1000 in production..
and I have use another thing called $concatArray but its adding only fields which I explicitly give example
// MongoDB Playground
// Use Ctrl+Space inside a snippet or a string literal to trigger completions.
const database = 'test3';
// The current database to use.
use(database);
// db.chats.find({
// "members": {
// "$eq": [
// ObjectId('63ad8631e0d6cfe452b80677'),
// ObjectId('63adadf287e482e6f128ec0e')
// ]
// }
// }
// )
// db.chats.aggregate(
// {
// $match: {
// "members": {
// "$all": [
// ObjectId('63ad8631e0d6cfe452b80677'),
// // ObjectId('63adadf287e482e6f128ec0e'),
// ObjectId('63b3c2b8ce51cf1fca0325ad')
// ]
// },
// }
// },
// {
// $sort: {
// "created_at": -1
// }
// },
// // {
// // $project: {
// // "total": 1,
// // "_id": 0
// // }
// // },
// {
// $limit: 1
// },
// )
// .sort({"created_at": -1})
// db.chats.find(
// {
// "members": {
// "$all": [
// ObjectId('63ad8631e0d6cfe452b80677'),
// ObjectId('63adadf287e482e6f128ec0e'),
// // ObjectId('63b3c2b8ce51cf1fca0325ad')
// ]
// }
// },
// )
// db.chats.find({
// "members": {
// "$eq": [
// ObjectId('63ad8631e0d6cfe452b80677'),
// ObjectId('63adadf287e482e6f128ec0e')
// ]
// }
// }
// )
db.chats.aggregate(
{
/**
* query: The query in MQL.
*/
$match: {
"members": {
"$all": [
ObjectId('63ad8631e0d6cfe452b80677'),
ObjectId('63adadf287e482e6f128ec0e'),
]
}
},
},
{
/**
* Provide any number of field/order pairs.
*/
$sort: {
"created_at": -1
}
},
{
/**
* specifications: The fields to
* include or exclude.
*/
$project: {
"_id": 0,
// "members": 1,
"result": {
$sortArray: {input: "$message", sortBy: {created_at: -1}},
}
}
},
{
/**
* specifications: The fields to
* include or exclude.
*/
$project: {
"messages": {
'$concatArrays': [
"$result", "$result"
]
}
}
}
)
it will add two result to messages but not to all of that result
here my demo MongoDB collections https://pastebin.com/mt4i3HXr
Related
I have this Mongo DB document structure...
{
"_id": {
"$oid": "63b6e12d650c56ca2e720c86"
},
"userName": "Harshit Gupta ",
"email": "harshitguptapositive#gmail.com",
"password": "$2b$10$Ys0AfxbtQKX3XytM1n85dO0dUL2bFAMQiD3w5nSw6zFmda4W4yRn6",
"tasks": [
{
"habbitName": "Jogging",
"Description": "defended",
"Sunday": false,
"Monday": true,
"Tuesday": false,
"Wednesday": true,
"Thursday": false,
"Friday": true,
"Saturday": false,
"Month": [
{
"date": 0,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c8d"
}
},
{
"date": 1,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c8e"
}
},
{
"date": 2,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c8f"
}
},
{
"date": 3,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c90"
}
},
{
"date": 4,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c91"
}
},
{
"date": 5,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c92"
}
},
{
"date": 6,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c93"
}
},
{
"date": 7,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c94"
}
},
{
"date": 8,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c95"
}
},
{
"date": 9,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c96"
}
},
{
"date": 10,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c97"
}
},
{
"date": 11,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c98"
}
},
{
"date": 12,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c99"
}
},
{
"date": 13,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c9a"
}
},
{
"date": 14,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c9b"
}
},
{
"date": 15,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c9c"
}
},
{
"date": 16,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c9d"
}
},
{
"date": 17,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c9e"
}
},
{
"date": 18,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720c9f"
}
},
{
"date": 19,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca0"
}
},
{
"date": 20,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca1"
}
},
{
"date": 21,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca2"
}
},
{
"date": 22,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca3"
}
},
{
"date": 23,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca4"
}
},
{
"date": 24,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca5"
}
},
{
"date": 25,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca6"
}
},
{
"date": 26,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca7"
}
},
{
"date": 27,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca8"
}
},
{
"date": 28,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720ca9"
}
},
{
"date": 29,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720caa"
}
},
{
"date": 30,
"done": false,
"_id": {
"$oid": "63b6e14c650c56ca2e720cab"
}
}
],
"timeRemind": "23:12",
"_id": {
"$oid": "63b6e14c650c56ca2e720c8c"
},
"createdAt": {
"$date": {
"$numberLong": "1672929612245"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1672929612245"
}
}
}
}
],
"createdAt": {
"$date": {
"$numberLong": "1672929581689"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1672939914562"
}
},
"__v": 2
}
I want to first select user id then specific the task id and the document which gets selected then
I want to update specific date of the month field can you please suggest the specific query..
first select select user by user id then a task by task id then in Month field i want to update a n element(done attribute to true) whose date is 4.
I tried to apply the following operation.
let doc = await User.findOneAndUpdate({
_id: req.user.id
}
,{
"tasks.$[task].Month.$[dateIndex].done": true
},{
arrayFilters:[ {"dateIndex.date" : 4} ,{"task.id":req.params.taskId}]
}
);
The positional parameter $ only matches the first element of the top-most array.
To update within an object in an array nested in another array, use arrayFilters and the $[] positional filter to refer into the nested arrays, like:
User.findOneAndUpdate({
_id: mongoose.Types.ObjectId(req.user.id),
"tasks._id": mongoose.Types.ObjectId(req.params.taskId)
},
{$set: {"tasks.$.Month.$[m].done": true}},
{
arrayFilters: [{"m.date": dateIndice}]
})
Playground
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 am trying to update the existing document with one extra field as a new requirement in DB needs that
Existing field
[{
"_id": {
"$oid": "62a8ad644035e93c7ff24607"
},
"user_name": "demo2#devia.com",
"password": "1234",
"college_id": {
"$oid": "628dfd41ef796e8f757a5c13"
},
"basic_details": {
"first_name": "ghgh",
"middle_name": "",
"last_name": "gh",
"email": "demo2#devia.com",
"mobile_number": 1234567890
},
"address_details": {
"country": {
"country_id": {
"$oid": "623012f9683f8fb7bd213c36"
},
"country_code": "IN"
},
"state": {
"state_id": {
"$oid": "623013d9683f8fb7bd2381c4"
},
"state_code": "MP"
},
"city": {
"city_id": {
"$oid": "6230139f683f8fb7bd21f1a9"
},
"city_name": "Akodia"
},
"address_line1": "",
"address_line2": "",
"pincode": ""
},
"is_verify": false,
"last_accessed": {
"$date": {
"$numberLong": "1655221604144"
}
},
"created_at": {
"$date": {
"$numberLong": "1655221604144"
}
},
"course_details": {}
}]
Needs to update all fields
[{
"_id": {
"$oid": "62bf2cf2a8c782741bbcc398"
},
"user_name": "a#exaple.com",
"password": "$2b$12$NgLNYm5jUBmFUq.w15.qCO35GiTJX09jAnOpoGuPt9G7GNuOkVN7K",
"college_id": {
"$oid": "628dfd41ef796e8f757a5c13"
},
"basic_details": {
"email": "a#example.com",
"mobile_number": "9898989898",
"first_name": "Fahim",
"middle_name": "",
"last_name": "Ashhab",
"nationality": "Antiguans",
"date_of_birth": "2003-02-04",
"admission_year": "2022-23",
"gender": "Male",
"category": "General",
"para_ability": {
"is_disable": false,
"name_of_disability": ""
}
},
"address_details": {
"communication_address": {
"country": {
"country_id": {
"$oid": "623012f9683f8fb7bd213c36"
},
"country_code": "IN"
},
"state": {
"state_id": {
"$oid": "623013d9683f8fb7bd2380ef"
},
"state_code": "AP"
},
"city": {
"city_id": {
"$oid": "6230139f683f8fb7bd21ebc8"
},
"city_name": "Akasahebpet"
},
"address_line1": "jjkjk",
"address_line2": "uiui",
"pincode": "989898"
}
},
"is_verify": true,
"last_accessed": {
"$date": {
"$numberLong": "1656696050670"
}
},
"created_at": {
"$date": {
"$numberLong": "1656696050670"
}
},
"allocate_to_counselor": {
"counselor_id": {
"$oid": "62bfd13a5ce8a398ad101bd7"
},
"counselor_name": "test",
"last_update": {
"$date": {
"$numberLong": "1656817948401"
}
}
},
"course_details": {
"BSc": {
"course_id": {
"$oid": "628e03d94e22276b98231407"
},
"course_name": "BSc",
"application_id": {
"$oid": "62bf2cf2a8c782741bbcc399"
},
"status": "Incomplete",
"specs": [
{
"spec_name": "Physician Assistant",
"is_activated": true
}
]
}
}
}]
Query Tried nothing is happening
db.collection.aggregate([
{$match:{"address_details.country": {$exists:true}}},
{$set:{address_details:{communication_address:"$address_details"}}}
])
2nd Query Tried didn't go through
db.studentsPrimaryDetails.updateMany({
"address_details.communication_address": {"$exist":false}},
{$set: {"address_details.communication_address":"$address_details"}})
The desired result needs to be
from this
"address_details": {
"country": {
"country_id": {
"$oid": "623012f9683f8fb7bd213c36"
},
"country_code": "IN"
},
"state": {
"state_id": {
"$oid": "623013d9683f8fb7bd2381c4"
},
"state_code": "MP"
},
"city": {
"city_id": {
"$oid": "6230139f683f8fb7bd21f1a9"
},
"city_name": "Akodia"
},
"address_line1": "",
"address_line2": "",
"pincode": ""
}
to this
"address_details": {
"communication_address": {
"country": {
"country_id": {
"$oid": "623012f9683f8fb7bd213c36"
},
"country_code": "IN"
},
"state": {
"state_id": {
"$oid": "623013d9683f8fb7bd2380ef"
},
"state_code": "AP"
},
"city": {
"city_id": {
"$oid": "6230139f683f8fb7bd21ebc8"
},
"city_name": "Akasahebpet"
},
"address_line1": "jjkjk",
"address_line2": "uiui",
"pincode": "989898"
}
}
Don't know what I am doing wrong.
Edit :
Desired full output
[{
"_id": {
"$oid": "62bf2cf2a8c782741bbcc398"
},
"user_name": "a#example.com",
"password": "12345678",
"college_id": {
"$oid": "628dfd41ef796e8f757a5c13"
},
"basic_details": {
"email": "a#example.com",
"mobile_number": "9898989898",
"first_name": "Fahim",
"middle_name": "",
"last_name": "Ashhab",
"nationality": "Antiguans",
"date_of_birth": "2003-02-04",
"admission_year": "2022-23",
"gender": "Male",
"category": "General",
"para_ability": {
"is_disable": false,
"name_of_disability": ""
}
},
"address_details": {
"communication_address": {
"country": {
"country_id": {
"$oid": "623012f9683f8fb7bd213c36"
},
"country_code": "IN"
},
"state": {
"state_id": {
"$oid": "623013d9683f8fb7bd2380ef"
},
"state_code": "AP"
},
"city": {
"city_id": {
"$oid": "6230139f683f8fb7bd21ebc8"
},
"city_name": "Akasahebpet"
},
"address_line1": "jjkjk",
"address_line2": "uiui",
"pincode": "989898"
}
},
"is_verify": true,
"last_accessed": {
"$date": {
"$numberLong": "1656696050670"
}
},
"created_at": {
"$date": {
"$numberLong": "1656696050670"
}
},
"allocate_to_counselor": {
"counselor_id": {
"$oid": "62bfd13a5ce8a398ad101bd7"
},
"counselor_name": "viru chaudhary",
"last_update": {
"$date": {
"$numberLong": "1656817948401"
}
}
},
"course_details": {
"BSc": {
"course_id": {
"$oid": "628e03d94e22276b98231407"
},
"course_name": "BSc",
"application_id": {
"$oid": "62bf2cf2a8c782741bbcc399"
},
"status": "Incomplete",
"specs": [
{
"spec_name": "Physician Assistant",
"is_activated": true
}
]
}
}
}]```
One option is:
Use $exists instead of $exist
Use pipeline in order to be able to $set the value from another fields' value
db.collection.updateMany(
{"address_details.communication_address": {$exists: false}},
[{$set: {address_detailsB: {communication_address: "$address_details"}}},
{$set: {
address_details: "$address_detailsB",
address_detailsB: "$$REMOVE"}
}
])
See how it works on the playground example
The aggregation query that you first tried, does not not update the db, it only returns data. In order to use it as an updater you need to add a $merge step.
I have collections with following values:
reports
{
"_id": { "$oid": "5f05e1d13e0f6637739e215b" },
"testReport": [
{
"name": "Calcium",
"value": "87",
"slug": "ca",
"details": {
"description": "description....",
"recommendation": "recommendation....",
"isNormal": false
}
},
{
"name": "Magnesium",
"value": "-98",
"slug": "mg",
"details": {
"description": "description....",
"recommendation": "recommendation....",
"isNormal": false
}
}
],
"patientName": "Patient Name",
"clinicName": "Clinic",
"gender": "Male",
"bloodGroup": "A",
"createdAt": { "$date": "2020-07-08T15:10:09.612Z" },
"updatedAt": { "$date": "2020-07-08T15:10:09.612Z" }
},
setups
{
"_id": { "$oid": "5efcba7503f4693d164e651d" },
"code": "Ca",
"codeLower": "ca",
"name": "Calcium",
"valueFrom": -75,
"valueTo": -51,
"treatmentDescription": "description...",
"isNormal": false,
"gender": "",
"recommendation": "recommendation...",
"createdAt": { "$date": "2020-07-01T16:31:50.205Z" },
"updatedAt": { "$date": "2020-07-01T16:31:50.205Z" }
},
{
"_id": { "$oid": "5efcba7503f4693d164e651e" }, // <=== should find this for Calcium
"code": "Ca",
"codeLower": "ca",
"name": "Calcium",
"valueFrom": 76,
"valueTo": 100,
"treatmentDescription": "description...",
"isNormal": false,
"gender": "",
"recommendation": "recommendation...",
"createdAt": { "$date": "2020-07-01T16:31:50.205Z" },
"updatedAt": { "$date": "2020-07-01T16:31:50.205Z" }
},
{
"_id": { "$oid": "5efcba7603f4693d164e65bb" }, // <=== should find this for Magnesium
"code": "Mg",
"codeLower": "mg",
"name": "Magnesium",
"valueFrom": -100,
"valueTo": -76,
"treatmentDescription": "description...",
"isNormal": false,
"gender": "",
"recommendation": "recommendation...",
"createdAt": { "$date": "2020-07-01T16:31:50.205Z" },
"updatedAt": { "$date": "2020-07-01T16:31:50.205Z" }
},
{
"_id": { "$oid": "5efcba7503f4693d164e6550" },
"code": "Mg",
"codeLower": "mg",
"name": "Magnesium",
"valueFrom": 76,
"valueTo": 100,
"treatmentDescription": "description...",
"isNormal": false,
"gender": "",
"recommendation": "recommendation...",
"createdAt": { "$date": "2020-07-01T16:31:50.205Z" },
"updatedAt": { "$date": "2020-07-01T16:31:50.205Z" }
}
I want to search the value from reports collection and check whether the value is in range from the setups collection and return the _id and add the returned _ids in setupIds field on reports collection.
I tried with the following aggregation framework:
db.reports.aggegrate([
{
'$match': {
'_id': new ObjectId('5f05e1d13e0f6637739e215b')
}
}, {
'$lookup': {
'from': 'setups',
'let': {
'testValue': '$testReport.value',
'testName': '$testReport.name'
},
'pipeline': [
{
'$match': {
'$expr': {
{
'$and': [
{
'$eq': [
'$name', '$$testName'
]
}, {
'$gte': [
'$valueTo', '$$testValue'
]
}, {
'$lte': [
'$valueFrom', '$$testValue'
]
}
]
}
}
}
}
],
'as': 'setupIds'
}
}
])
This query didn't find the expected results.
This is the updated reports collection I want:
{
"_id": { "$oid": "5f05e1d13e0f6637739e215b" },
"setupIds": [{ "$oid": "5efcba7503f4693d164e651e" }, { "$oid": "5efcba7603f4693d164e65bb" }], // <=== Here, array of the ObjectId (ref: "Setups")
"patientName": "Patient Name",
"clinicName": "Clinic",
"gender": "Male",
"bloodGroup": "A",
"createdAt": { "$date": "2020-07-08T15:10:09.612Z" },
"updatedAt": { "$date": "2020-07-08T15:10:09.612Z" }
},
You can try like following
[{
$match: {
_id: ObjectId('5f05e1d13e0f6637739e215b')
}
}, {
$unwind: {
path: "$testReport"
}
}, {
$lookup: {
from: 'setup',
'let': {
testValue: {
$toInt: '$testReport.value'
},
testName: '$testReport.name'
},
pipeline: [{
$match: {
$expr: {
$and: [{
"$eq": [
"$name",
"$$testName"
]
},
{
"$gte": [
"$valueTo",
"$$testValue"
]
},
{
"$lte": [
"$valueFrom",
"$$testValue"
]
}
]
}
}
}],
as: 'setupIds'
}
}, {
$group: {
_id: "$_id",
patientName: {
$first: "$patientName"
},
clinicName: {
$first: "$clinicName"
},
gender: {
$first: "$gender"
},
bloodGroup: {
$first: "$bloodGroup"
},
createdAt: {
$first: "$createdAt"
},
updatedAt: {
$first: "$updatedAt"
},
setupIds: {
$addToSet: "$setupIds._id"
}
}
}, {
$addFields: {
setupIds: {
$reduce: {
input: "$setupIds",
initialValue: [],
in: {
$setUnion: ["$$this", "$$value"]
}
}
}
}
}]
Working Mongo playground
This question already has answers here:
Find in Double Nested Array MongoDB
(2 answers)
Closed 4 years ago.
I have a document that looks like so:
{
"_id": {
"$oid": "5b1586ccf0c56353e89d330b"
},
"address": {
"street": "123 Street",
"address2": "Address 2",
"city": "Some City",
"state": "MI",
"zip": "12345"
},
"subs": [
{
"invoices": [
{
"address": {
"street": "3061 Pine Ave SW",
"city": "Grandville",
"state": "AK",
"zip": "49418"
},
"lineItem": [
{
"images": [
{
"_id": {
"$oid": "5b1fca54e6ee1d80c463612d"
},
"name": "1528810066348_RSA Logo.jpeg",
"url": "https....",
"uploadDate": {
"$date": "2018-06-12T13:27:46.931Z"
},
"size": 91819
}
],
"_id": {
"$oid": "5b1fca54e6ee1d80c463612c"
},
"desc": "2",
"amt": 2
}
],
"_id": {
"$oid": "5b1fca54e6ee1d80c463612b"
}
}
],
"_id": {
"$oid": "5b1fc7f23b595481d4599f58"
},
"email": "a#a.com",
"scope": "Roof",
},
{
"invoices": [
{
"address": {
"street": "3061 Pine Ave SW",
"city": "Grandville",
"state": "AL",
"zip": "49418"
},
"lineItem": [
{
"images": [
{
"_id": {
"$oid": "5b1fca2fe6ee1d80c463612a"
},
"name": "1528810029700_RSA Stamp.png",
"url": "https....",
"uploadDate": {
"$date": "2018-06-12T13:27:10.403Z"
},
"size": 238113
}
],
"_id": {
"$oid": "5b1fca2fe6ee1d80c4636129"
},
"desc": "1",
"amt": 1
}
],
"_id": {
"$oid": "5b1fca2fe6ee1d80c4636128"
}
},
{
"address": {
"street": "3061 Pine Ave SW",
"city": "Grandville",
"state": "AL",
"zip": "49418"
},
"lineItem": [
{
"images": [
{
"_id": {
"$oid": "5b1fd05b0d1f7185e02e9c40"
},
"name": "1528811607099_error page.PNG",
"url": "https....",
"uploadDate": {
"$date": "2018-06-12T13:53:28.080Z"
},
"size": 224772
}
],
"_id": {
"$oid": "5b1fd05b0d1f7185e02e9c3f"
},
"desc": "3",
"amt": 3
}
],
"_id": {
"$oid": "5b1fd05b0d1f7185e02e9c3e"
}
}
],
"_id": {
"$oid": "5b1fc7f23b595481d4599f55"
},
"email": "b#b.com",
"scope": "Siding",
}
],
"firstName": "",
"lastName": "",
}
My issue is that I want to be able to access a specific invoices of a specific subs.
I am new to Mongo/Mongoose so it is possible I am doing something completely wrong and I would be more than happy with any answer/criticism on how I am approaching this.
-- tweaked answer --
Job.aggregate([
{
$match: {
"_id": mongoose.Types.ObjectId(req.body.jobID)
}
},
{
$unwind: "$subs"
},
{
$match: {
"subs._id": mongoose.Types.ObjectId(req.body.subID)
}
},
{
$unwind: "$subs.invoices"
},
{
$match: {
"subs.invoices._id": mongoose.Types.ObjectId(req.body.invID)
}
},
{
$project: {
"_id": 1,
"subs.invoices": 1
}
}
], function(err, job) {
if (err) throw err;
res.send(job);
});
You can try below aggregation...
Here this is a long process of deconstructing an array using $unwind and rebuild the array using $group
db.collection.aggregate([
{ "$match": { "_id": "1111" } },
{ "$unwind": "$subs" },
{ "$match": { "subs._id": "2222" } },
{ "$unwind": "$subs.invoices" },
{ "$match": { "subs.invoices._id": "3333" } },
{ "$group": {
"_id": {
"_id": "$_id",
"subs": "$subs._id"
},
"firstName": { "$first": "$firstName" },
"lastName": { "$first": "$lastName" },
"address": { "$first": "$address" },
"subs": {
"$first": {
"_id": "$subs._id",
"email": "$subs.email",
"venue": "$subs.venue",
"scope": "$subs.scope"
}
},
"invoices": { "$push": "$subs.invoices" }
}},
{ "$group": {
"_id": "$_id._id",
"firstName": { "$first": "$firstName" },
"lastName": { "$first": "$lastName" },
"address": { "$first": "$address" },
"subs": {
"$push": {
"_id": "$subs._id",
"email": "$subs.email",
"venue": "$subs.venue",
"scope": "$subs.scope",
"invoices": "$invoices"
}
}
}}
])
Or you can do this with $filter aggregation as well
db.collection.aggregate([
{ "$match": { "_id": "5b1586ccf0c56353e89d330b" }},
{ "$unwind": "$subs" },
{ "$match": { "subs._id": "5b1fc7f23b595481d4599f58" }},
{ "$project": {
"address": 1, "firstName": 1, "lastName": 1,
"subs.type": "$subs._id",
"subs.status": "$subs.email",
"subs.code": "$subs.scope",
"subs.invoices": {
"$filter": {
"input": "$subs.invoices",
"as": "invoice",
"cond": {
"$eq": [
"$$invoice._id",
"5b1fca54e6ee1d80c463612b"
]
}
}
}
}},
{ "$group": {
"_id": "$_id",
"address": { "$first": "$address" },
"firstName": { "$first": "$firstName" },
"lastName": { "$first": "$lastName" },
"subs": { "$push": "$subs" }
}}
])