I want to update flag in array of objects which are 3 levels deep nested.
I have this array of ages:
[20, 25]
I want to set flag: 1 for those users which has type: students and ages: 20 or 25
Here is my Users collection:
{
"_id": "wef324DGSshf",
"userTypes": [
{
"type": "students",
"users": [
{
"name": "John",
"age": 20,
"flag": 0
},
{
"name": "Mike",
"age": 25,
"flag": 0
}
]
},
{
"type": "students",
"users": [
{
"name": "Henry",
"age": 40,
"flag": 0
},
{
"name": "Nick",
"age": 25,
"flag": 0
}
]
},
{
"type": "teachers",
"users": [
{
"name": "Kim",
"age": 20,
"flag": 0
},
{
"name": "Charles",
"age": 25,
"flag": 0
}
]
}
]
}
After update I expect this response:
{
"_id": "wef324DGSshf",
"userTypes": [
{
"type": "students",
"users": [
{
"name": "John",
"age": 20,
"flag": 1
},
{
"name": "Mike",
"age": 25,
"flag": 1
}
]
},
{
"type": "students",
"users": [
{
"name": "Henry",
"age": 40,
"flag": 0
},
{
"name": "Nick",
"age": 25,
"flag": 1
}
]
},
{
"type": "teachers",
"users": [
{
"name": "Kim",
"age": 20,
"flag": 0
},
{
"name": "Charles",
"age": 25,
"flag": 0
}
]
}
]
}
What I have tried so far is this query:
Users.update(
{ "userTypes.users.age": { $in: [20,25] } },
{ "$set": { "userTypes.users.$.flag": "1" } }
);
My solution is not updating the desired records, can anyone help me with the right query for this case?
Related
My documents look like this
{
"_id": {
"$oid": "62825f71005ce00c5f0235c1"
},
"user": "jon",
"roles": {
"User": 2001,
},
"STOCK ": [
{
"sku": "BLACK-M",
"productname": "BLACK",
"sendout": 0,
"recived": 1,
"totalinstock": 40,
"location": "B32",
"_id": {
"$oid": "62826016005ce00c5f0235c8"
}
},
{
"sku": "CJNS",
"productname": "89796363",
"sendout": 0,
"recived": 45,
"totalinstock": 0,
"location": "B232",
"_id": {
"$oid": "62836f2d56b4f1ac79c99b8d"
}
}
],
"ORDERS": [
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "745607",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "8678678678",
"Name": "Holly ",
"Trackingnumber": 40,
"ZipCode": 00000,
"Province": "New ",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a7"
}
},
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
]
}
I successful to return all the objects in STOCK or all the objects in ORDERS
Through this query
const foundUser= await User.find({"user":req.body.user},("Orders") ).exec()
Now I want to filter the response to include only items where "Trackingnumber" is different from 0
For the sample data I expect to receive only
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
You can use an aggregation pipeline with a $filter for this:
db.collection.aggregate([
{
$match: {
"user": "jon"
}
},
{
$project: {
ORDERS: {
$filter: {
input: "$ORDERS",
as: "item",
cond: {$ne: ["$$item.Trackingnumber", 0]}
}
}
}
}
])
Playground example
User.find({"Orders" : {"Trackingnumber": 0} })
I have been asked in an interview to mutate the array of objects in such a way that the data appears in the following manner
[
{
"companyName": "ABC",
"members": [
{
"id": 13121212,
"firstName": "Ray",
"lastName": "Fernandis",
"points": 1800,
"position": 1
},
{
"id": 13131313,
"firstName": "Carrie",
"lastName": "Yoda",
"points": 1200,
"position": 2
}
]
}]
and the sample data was given below.
[
{
"communityName": "ABC",
"lastUpdateTimestamp": {
"date": {
"year": 2020,
"month": 10,
"day": 7
},
"time": {
"hour": 18,
"minute": 6,
"second": 5,
"nano": 536529000
}
},
"data": {
"listChannelsData": [
{
"channelId": 1234,
"channelName": "BCD",
"members": [
{
"id": 13121212,
"firstName": "Ray",
"lastName": "Fernandis",
"points": 1800,
"position": 1
}
]
}
]
}
},
{
"communityName": "DEF",
"lastUpdateTimestamp": {
"date": {
"year": 2020,
"month": 10,
"day": 7
},
"time": {
"hour": 18,
"minute": 6,
"second": 21,
"nano": 47894000
}
},
"data": {
"listChannelsData": [
{
"channelId": 3421,
"channelName": "GHI",
"members": [
{
"id": 13121212,
"firstName": "Nicholas",
"lastName": "Xin",
"points": 800,
"position": 2
},
{
"id": 13131313,
"firstName": "Carrie",
"lastName": "Yoda",
"points": 1000,
"position": 1
}
]
}
]
}
}
]
The agenda for me was to print the derived json from sample json and I could only figure out this much code which was a courtesy of stackoverflow
function dictionary(data) {
var map = {};
data.forEach(item => {
if (!Array.isArray(map[item.companyName])) {
map[item.companyName] = [item.data.listChannelsData];
} else {
map[item.communityName].push(item.data.listChannelsData);
}
});
return map;
}
console.log(dictionary(data));
But now when I try to pick up the data for the member using another foreach loop, I'm not able to access the data for members. Can anyone help me with the part where I can successfully access the member array and print the company name along side it
Try this code
var newArray = []
data.map((item, index) => {
newArray[index] = {companyName : item.communityName}
newArray[index].members = item.data.listChannelsData[0].members
})
data is the given data.
I want data from places where userid is equal to the body.user._id
PLACE DATA
{
"_id": "5e8ddd0f7f5b174290bbefc8",
"type": 0,
"location": [
24.8757396,
67.3464698
],
"title": "E 22, Steel Town Karachi, Karachi City, Sindh, Pakistan",
"googlePlaceId": "ChIJlbvA8BIzsz4Rlh7w_fKfwus",
"createdDate": "2020-04-08T14:17:51.869Z",
"__v": 0,
},
{
"_id": "5e8de4204396310017564a2b",
"type": 0,
"location": [
24.910688,
67.0310973
],
"title": "Nazimabad, Karachi, Pakistan",
"googlePlaceId": "ChIJzZudRr0_sz4R81KZ48Ylk3Q",
"createdDate": "2020-04-08T14:48:00.557Z",
"__v": 0,
},
{
"_id": "5e8de4364396310017564a2d",
"type": 0,
"location": [
24.9180271,
67.0970916
],
"title": "Gulshan-e-Iqbal, Karachi, Pakistan",
"googlePlaceId": "ChIJsda_CLg4sz4RIghXwgIae5k",
"createdDate": "2020-04-08T14:48:22.979Z",
"__v": 0,
},
{
"_id": "5e8dea79894854524cc554e0",
"type": 0,
"location": [
24.9343322,
67.177173
],
"title": "Malir Cantt Check Post No 6, Malir Link to Super Highway, Karachi, Pakistan",
"googlePlaceId": "ChIJJ7BbsyQ4sz4RvpkV9Ig_aU4",
"createdDate": "2020-04-08T15:15:05.360Z",
"__v": 0,
}**
Visited Places DATA
{
"_id":"5e90998f8bc84d0017a6d2f3",
"visitingNo":"0",
"_userId":"5e8f3ef5434f5800170c7169"
"_placeId":"5e908fdb8bc84d0017a6d2e8"
"createdDate":"2020-04-10T16:06:39.231+00:00"
"__v":"0"
},
{
"_id":"5e90998f8bc84d0017a6d2f3",
"visitingNo":"0",
"_userId":"5e8f3ef5434f5800170c7169"
"_placeId":"5e908fdb8bc84d0017a6d2e8"
"createdDate":"2020-04-10T16:06:39.231+00:00"
"__v":"0"
},
{
"_id":"5e90998f8bc84d0017a6d2f3",
"visitingNo":"0",
"_userId":"5e8f3ef5434f5800170c7169"
"_placeId":"5e908fdb8bc84d0017a6d2e8"
"createdDate":"2020-04-10T16:06:39.231+00:00"
"__v":"0"
},
MY CODE
const palace = placeData.aggregate([
{
$lookup:{
from: `${visitplaceData}`,
// localField: "_id",
// foreignField: "_placeId",
let : {
"placeId" : "$_id"
},
pipeline : [
{ $sort: { visitingNo : -1 } },
{
$match : {
$expr : {
$and : [
{$eq: [ "$_placeId", "$$placeId" ]},
{"_userId": body.user._id}
]
}
}
},
],
as: "places"
}
}
])
I have a database of exercises in a workout tracker, and when I do a find(), the result is this:
[
{
"_id": "5e9dacbb6512969974bd5b2d",
"day": "2020-04-10T14:07:55.905Z",
"exercises": [
{
"type": "resistance",
"name": "Bicep Curl",
"duration": 20,
"weight": 100,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b2e",
"day": "2020-04-11T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Lateral Pull",
"duration": 20,
"weight": 300,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b2f",
"day": "2020-04-12T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Push Press",
"duration": 25,
"weight": 185,
"reps": 8,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b30",
"day": "2020-04-13T14:07:55.916Z",
"exercises": [
{
"type": "cardio",
"name": "Running",
"duration": 25,
"distance": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b31",
"day": "2020-04-14T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Bench Press",
"duration": 20,
"weight": 285,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b32",
"day": "2020-04-15T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Bench Press",
"duration": 20,
"weight": 300,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b33",
"day": "2020-04-16T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Quad Press",
"duration": 30,
"weight": 300,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b34",
"day": "2020-04-17T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Bench Press",
"duration": 20,
"weight": 300,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b35",
"day": "2020-04-18T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Military Press",
"duration": 20,
"weight": 300,
"reps": 10,
"sets": 4
}
]
},
{
"_id": "5e9dacbb6512969974bd5b36",
"day": "2020-04-19T14:07:55.916Z",
"exercises": [
{
"type": "resistance",
"name": "Bench",
"duration": 30,
"distance": 2
}
]
}
]
Then I need to get total sums of statistics from each exercise, so I used mongoose aggregate to give me this data:
[
{
"_id": null,
"totalDuration": 230,
"totalWeight": 2070,
"totalSets": 32,
"totalReps": 78,
"totalDistance": 6
}
]
I want to combine these two results in one GET request, ideally doing something similar to a push where I just push the totals at the end of the first JSON object. How do I achieve this?
Something like this:
function mergeResults(resultFromFindQuery, totalSums){
var allData = {};
allData['mongoFindresult'] = resultFromFindQuery;
allData['totalSums'] = totalSums;
return allData;
}
Then use the returned value to what you need to do. Now you have both of them in the same variable.
Here i like to explain my problem.
How can i write a mongoose query to retrieve every subdocument from JSON without passing parent_id.
[
{
"_id": "56a320003fe17cc7363dd0d7",
"name": "Leanna Jacobson",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Riley Case"
},
{
"id": 1,
"name": "Herman Carter"
},
{
"id": 2,
"name": "Pacheco Woodard"
}
]
},
{
"_id": "56a3200001501cfa1ea2641d",
"name": "Juliana Bonner",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Keller Woodward"
},
{
"id": 1,
"name": "Fern Knight"
},
{
"id": 2,
"name": "Cain Richards"
}
]
},
{
"_id": "56a3200006864c78ecb1aeed",
"name": "Gena Stark",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Kate Franco"
},
{
"id": 1,
"name": "Araceli Mcclure"
},
{
"id": 2,
"name": "Molly Nelson"
}
]
},
{
"_id": "56a320006d868155161038b6",
"name": "Eve Gonzalez",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Pam Lang"
},
{
"id": 1,
"name": "Christy Marks"
},
{
"id": 2,
"name": "Donovan Warren"
}
]
},
{
"_id": "56a3200066b94852f5680568",
"name": "Coleman Wooten",
"gender": "male",
"friends": [
{
"id": 0,
"name": "Roberta Olson"
},
{
"id": 1,
"name": "Roseann Reid"
},
{
"id": 2,
"name": "Kerri Russell"
}
]
}
]
Here i need to retrieve every friends details from the subdocument array friends for every parent.
so how can i write query for this?????
Suppose the name of your schema is Person, try this one.
//find all document, only select `friends` field from every document
Person.find({}, 'friends', function (err, friends) {
// the return friends is the [[friends], [friends], ...]
});