{
"_id": "null",
"data": [
{
"name": "abc",
"id": "123"
},
{
"name": "xzy",
"id": "123"
}
]
}
Explanation: the name value will become an object name. also want to convert it into one single document, that contains all the objects. abc and xyz is dynamically coming as a parameter.
Expected Output.
{
"data": {
"abc": {
"name": "abc",
"id": "100"
},
"xyz": {
"name": "xzy",
"id": "123"
}
}
}
Try this:
db.testCollection.aggregate([
{
$project: {
"array": {
$map: {
input: "$data",
as: "item",
in: {
k: "$$item.name",
v: {
"name": "$$item.id",
"id": "$$item.name"
}
}
}
}
}
},
{ $unwind: "$array" },
{
$group: {
_id: "$null",
"data": { $push: "$array" }
}
},
{
$project: {
"data": { $arrayToObject: "$data" }
}
}
]);
Related
I would like to extract from the collection the IDs of documents that have duplicate IDs of "drives" objects that are nested in the array that is in "streetModel".
This is my typical document :
{
"_id": {
"$oid": "61375bec4fa522001b608568"
},
"name": "Streetz",
"statusDetail": {},
"streetModel": {
"_id": "3.7389-51.0566",
"name": "Kosheen - Darude - Swedish - Trynidad - Maui",
"countryCode": "DEN",
"drives": [{
"_id": -903500698,
"direction": "WEST"
}, {
"_id": 1915399546,
"direction": "EAST"
}, {
"_id": 1294835467,
"direction": "NORTH"
}, {
"_id": 1248969937,
"direction": "EAST"
}, {
"_id": 1248969937,
"direction": "EAST"
}, {
"_id": 1492411786,
"direction": "SOUTH"
}]
},
"createdAt": {
"$date": "2021-09-07T12:32:44.238Z"
}
}
In this particular document with the ID 61375bec4fa522001b608568, in "streetModel", in "drives" array I have got duplicated drives objects with id 1248969937.
I would like to create a query to the database that will return the ID of all documents with such a problem (duplicate "drives").
Right now I have got this:
db.streets.aggregate([
{
$unwind: "$streetModel"
},
{
$unwind: "$drives"
},
{
$group: {
_id: {
id: "$_id"
},
sum: {
$sum: 1
},
}
},
{
$match: {
sum: {
$gt: 1
}
}
},
{
$project: {
_id: "$_id._id",
duplicates: {
drives: "$_id"
}
}
}
])
but that's not it.
I try in many ways to rewrite this query, but unfortunately it doesn't work.
Query
unwind
group by document id + driverid
keep only those that had more than one time same driveid
replace-root is to make the document better looking, you could $project also instead
if you need any more stage i think you can add it, for examplpe to get the documents that have this problem project only the docid's
Test code here
db.collection.aggregate([
{
"$unwind": {
"path": "$streetModel.drives"
}
},
{
"$group": {
"_id": {
"docid": "$_id",
"driveid": "$streetModel.drives._id"
},
"duplicates": {
"$push": "$streetModel.drives.direction"
}
}
},
{
"$match": {
"$expr": {
"$gt": [
{
"$size": "$duplicates"
},
1
]
}
}
},
{
"$replaceRoot": {
"newRoot": {
"$mergeObjects": [
"$_id",
"$$ROOT"
]
}
}
},
{
"$project": {
"_id": 0
}
}
])
I have a document like this:
I need to return the documents and filter the nested array (lessons) where any item of subLessons into input array
[{
"_id": {
"$oid": "6081fedbee5d133dbffb42eb"
},
"name": "my quiz",
"lessons": [
{
"_id": "460c42e1-b0b7-437e-ab63-c59cce8ced0d",
"name": "section",
"subLesson": [
{
"$oid": "6081fed9ee5d133dbffb3cba"
},
{
"$oid": "6081fed9ee5d133dbffb3cc0"
}
]
},
{
"_id": "f7b5c95f-1a68-42ca-880c-22ef3831ff03",
"name": "ffff",
"subLesson": [
{
"$oid": "6081fed9ee5d133dbffb3cbb"
}
]
}
]
}
}]
I wrote the following query but it does not work. I do not know how to use $elemMatch in $filter
db.collection.aggregate([
{
"$project": {
_id: 1,
lessons: {
$filter: {
"input": "$lessons",
"as": "lesson",
"cond": {
"$$lesson.subLesson": {
"$elemMatch": {
"$in": [
ObjectId("6081fed9ee5d133dbffb3cba")
]
}
}
}
}
}
}
}
])
I am trying to find the record such that the result looks like the following.
[{
"_id": {
"$oid": "6081fedbee5d133dbffb42eb"
},
"lessons": [
{
"_id": "460c42e1-b0b7-437e-ab63-c59cce8ced0d",
"name": "zzzz",
"subLesson": [
{
"$oid": "6081fed9ee5d133dbffb3cba"
},
{
"$oid": "6081fed9ee5d133dbffb3cc0"
}
]
}
]
},
}]
Can anyone please help out to understand how can I make this work
thanks
You can use $in directly
db.collection.aggregate([
{
$project: {
lessons: {
$filter: {
input: "$lessons",
cond: {
$in: [ ObjectId("6081fed9ee5d133dbffb3cba"), "$$this.subLesson" ]
}
}
}
}
}
])
Working Mongo playground
Update 1
db.collection.aggregate([
{ "$unwind": "$lessons" },
{
"$match": {
"lessons.subLesson": {
$in: [ ObjectId("6081fed9ee5d133dbffb3cba"), ObjectId("6081fed9ee5d133dbffb3cbb") ]
}
}
},
{
$group: {
_id: "$_id",
name: { $first: "$name" },
lessons: { $push: "$lessons" }
}
}
])
Mongo Playground
Explanation :
A , B , C object have values. I have to match only those values with dic.data objects name. if its not match the then get the exception "No error found". see the Expected_output.
A B C get the relvant information.
I am using lookup to get dic data.
Note this should be handle dynamically. A B C values may differ, that impact on Expected_output
{
"_id": {
"A": "31",
"B": "40",
"C": "7"
},
"dic": [
{
"_id": "5487",
"data": {
"A": {
"31": {
"name": "NoFile"
},
"32": {
"name": " -- "
}
},
"B": {
"40": {
"label": "Label",
"description": "Error1"
},
"41": {
"label": " Data collection ",
"description": "error"
}
},
"C": {
"4": {
"description": "High problem"
},
"7": {
"description": " Normal"
}
}
}
}
]
}
"Expected_output": {
"A": {
"name" :"NoFile",
"code" : "31"
},
"B":{
"label" : "Label",
"description" : "Error1",
"code" : "40"
},
"C": {
"description" : "Normal",
"code" : "7"
}
}
$arrayElemAt to get first element from dic array
$objectToArray convert A object to array
$reduce to iterate loop of element above converted array and check condition if _id.A matches with data A then return specific field,
do the same process for B and C
db.collection.aggregate([
{
$addFields: {
dic: { $arrayElemAt: ["$dic", 0] }
}
},
{
$project: {
_id: 1,
dic: {
A: {
$reduce: {
input: { $objectToArray: "$dic.data.A" },
initialValue: "Not Found",
in: {
$cond: [
{ $eq: ["$$this.k", "$_id.A"] },
"$$this.v.name",
"$$value"
]
}
}
},
B: {
$reduce: {
input: { $objectToArray: "$dic.data.B" },
initialValue: "Not Found",
in: {
$cond: [
{ $eq: ["$$this.k", "$_id.B"] },
"$$this.v.description",
"$$value"
]
}
}
},
C: {
$reduce: {
input: { $objectToArray: "$dic.data.C" },
initialValue: "Not Found",
in: {
$cond: [
{ $eq: ["$$this.k", "$_id.C"] },
"$$this.v.description",
"$$value"
]
}
}
}
}
}
}
])
Playground
I have an object like this:
{
"_id": {
"$oid": "5f0047f02fd3fc048aab9ee9"
},
"array": [
{
"_id": {
"$oid": "5f00dcc23e12b8721e4f3672"
},
"name": "NAME",
"sub_array": [
{
"sub_array2": [
{
"$oid": "5f00e367f7b8747beddc6d31"
},
{
"$oid": "5f00f26c1facd18c5158d1d3"
}
],
"_id": {
"$oid": "5f00de99a8802e767885e72b"
},
"week_day": 1
},
{
"sub_array2": [
{
"$oid": "5f00e367f7b8747beddc6d31"
}
],
"_id": {
"$oid": "5f00f2501facd18c5158d1d2"
},
"week_day": 3
}
]
},
{
"_id": {
"$oid": "5f00f2401facd18c5158d1d1"
},
"name": "NAME1",
"sub_array": []
}
]
}
I want to replace sub_array ids with objects from another collection but that results converting array and sub_array to objects and losing all of the data like week_day.
Lookup:
'$lookup': {
'from': 'sati',
'localField': 'array.sub_array.sub_array2',
'foreignField': '_id',
'as': 'array.sub_array.sub_array2'
}
Result:
{
"_id": {
"$oid": "5f0047f02fd3fc048aab9ee9"
},
"array": {
"sub_array": {
"sub_array2": [
{
"_id": {
"$oid": "5f00e367f7b8747beddc6d31"
},
"endTime": "2020-07-03T12:06:50+0000",
"startTime": "2020-07-03T12:05:50+0000",
"data1": {
"$oid": "5f005e63ab1cbf2374d5163f"
}
},
{
"_id": {
"$oid": "5f00e367f7b8747beddc6d31"
},
"endTime": "2020-07-03T12:06:50+0000",
"startTime": "2020-07-03T12:05:50+0000",
"data1": {
"$oid": "5f005e63ab1cbf2374d5163f"
}
},
{
"_id": {
"$oid": "5f00e367f7b8747beddc6d31"
},
"endTime": "2020-07-03T12:06:50+0000",
"startTime": "2020-07-03T12:05:50+0000",
"data1": {
"$oid": "5f005e63ab1cbf2374d5163f"
}
}
]
}
}
}
Is there a way to "replace" the individual ids without converting entire arrays to objects and removing other fields. I know mongoose can do that but I'm not permitted to use it. None of the other questions helped (example).
It will override entire object key:value with $lookup result. Instead, store the lookup result in the sati variable and add an extra stage like shown below.
$map allows use iterate over an array and transform each item.
db.collection.aggregate([
{
"$lookup": {
"from": "sati",
"localField": "array.sub_array.sub_array2",
"foreignField": "_id",
"as": "sati"
}
},
{
$project: {
array: {
$map: {
input: "$array",
as: "array",
in: {
_id: "$$array._id",
name: "$$array.name",
sub_array: {
$map: {
input: "$$array.sub_array",
as: "sub_array",
in: {
_id: "$$sub_array._id",
week_day: "$$sub_array.week_day",
sub_array2: {
$filter: {
input: "$sati",
as: "sati_item",
cond: {
$in: [
"$$sati_item._id",
"$$sub_array.sub_array2"
]
}
}
}
}
}
}
}
}
}
}
}
])
MongoPlayground | Altenative with $mergeObjects
I have about MongoDB in unwind operator.
So, I have document like this.
{
"name": "abc",
"report": {
"_2019": {
"May": {
"_9": {
"DATA": [{
"image": "xyz.png",
"object": true
},
{
"image": "abc.png",
"object": true
}
]
},
"_10": {
"DATA": [{
"image": "ejf.png",
"object": false
},
{
"image": "qwe.png",
"object": false
}
]
}
},
"June": {
"_1": {
"DATA": [{
"image": "jsk.png",
"object": false
}]
}
}
},
"_2020": {
"January": {
"_30": {
"DATA": [{
"image": "hhg.png",
"object": false
}]
}
}
}
}
}
And want to format the output for something like this
[{
"image": "xyz.png",
"object": true
}, {
"image": "abc.png",
"object": true
}, {
"image": "ejf.png",
"object": false
}, {
"image": "qwe.png",
"object": false
}, {
"image": "jsk.png",
"object": false
}, {
"image": "hhg.png",
"object": false
}]
The first thing i found is that using unwind, but it only accept array. And the second is using foreach in the programming-side. But i think it's not effective. Is this possible? Thank you.
The problem here is that the keys like _2020 or January or _30 are dynamically generated. To access subdocuments from DATA level you need to get there by using $objectToArray and $map to take values from key-value pairs. After each of these steps you need $unwind and then in the last step you can run $replaceRoot to promote documents from DATA into root level:
db.col.aggregate([
{
$project: {
data: {
$map: {
input: { $objectToArray: "$report" },
in: "$$this.v"
}
}
}
},
{ $unwind: "$data" },
{
$project: {
data: {
$map: {
input: { $objectToArray: "$data" },
in: "$$this.v"
}
}
}
},
{ $unwind: "$data" },
{
$project: {
data: {
$map: {
input: { $objectToArray: "$data" },
in: "$$this.v"
}
}
}
},
{ $unwind: "$data" },
{ $unwind: "$data.DATA" },
{
$replaceRoot: {
newRoot: "$data.DATA"
}
}
])
Mongo Playground