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], ...]
});
Related
my data structure is and products elements all tags in empty
I need to add a value to mongo db inner object with array element without looking at other value. Can some one advice to do this.
[
{
"item": "journal",
"id": 11,
"products": [
{
"id": 3,
"name": "p one",
"tags": []
}
]
},
{
"item": "notebook",
"id": 14,
"products": [
{
"id": 4010,
"name": "item-five",
"tags": []
}
]
}
]
and I want to add tag in products elements with match product id '4010', so the expected response should be like
[
{
"item": "journal",
"id": 11,
"products": [
{
"id": 3,
"name": "p one",
"tags": []
}
]
},
{
"item": "notebook",
"id": 14,
"products": [
{
"id": 4010,
"name": "item-five",
"tags": [
{
"id": 21,
"key": "tag-one",
"name": "tag-one",
}
]
}
]
}
]
You should look at arrayFilter option https://www.mongodb.com/docs/v6.0/reference/operator/update/positional-filtered/#update-all-documents-that-match-arrayfilters-in-an-array
Something like this might do the trick.
db.collection.updateMany(
{ },
{ $push: { "products.$[x].tags": {
"id": 21,
"key": "tag-one",
"name": "tag-one",
} } },
{ arrayFilters: [{ "x.id": 4010 }] }
);
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 this situation:
This is my tree entity where each item can be a parent item or child item of one of the same entity and each of them are related to an artist.
#Entity()
#Tree("materialized-path")
export class ArtistCommissionSetupItem {
#PrimaryGeneratedColumn({type: "bigint"})
id:number
#ManyToOne(()=>Artist, artist => artist.id, {onDelete: 'CASCADE'})
#JoinColumn()
#Index()
artist:Artist
#Column()
#Index()
name:string
#Index()
#Column({nullable: true})
enabled:boolean
#TreeParent()
parent:ArtistCommissionSetupItem
#TreeChildren()
childrens:ArtistCommissionSetupItem[]
}
The thing here is that I want to get the artist with his related commission setup items and I can do that but the result of commission setup items leftJoinAndSelect method doesn't come with the items nested as tree/child tree. I want the data of commission setup items come like findTrees() method returns it.
An example of how the data come:
"commissionSetupItems": [
{
"id": "154",
"name": "Body",
"enabled": null,
"price": null,
"createdAt": "2021-09-23T21:17:05.630Z",
"updatedAt": "2021-09-23T21:17:05.630Z"
},
{
"id": "155",
"name": "icon",
"enabled": true,
"price": "120.00",
"createdAt": "2021-09-23T21:17:05.630Z",
"updatedAt": "2021-09-23T21:17:05.630Z"
},
{
"id": "156",
"name": "Headshot",
"enabled": false,
"price": "120.00",
"createdAt": "2021-09-23T21:17:05.630Z",
"updatedAt": "2021-09-23T21:17:05.630Z"
}
}
an example of how I want the data comes:
{
"commissionSetupItems": [
{
"id": 1,
"name": "Characters",
"key": "characters",
"childrens": [
{
"id": 5,
"name": "Number of characters",
"key": "number_of_characters",
"childrens": []
}
]
},
{
"id": 2,
"name": "Body",
"key": "body",
"childrens": [
{
"id": 6,
"name": "Icon",
"key": "icon",
"childrens": []
},
{
"id": 7,
"name": "Chibi",
"key": "chibi",
"childrens": []
},
{
"id": 8,
"name": "Headshot",
"key": "headshot",
"childrens": []
},
{
"id": 9,
"name": "Torso or Burst",
"key": "torso",
"childrens": []
},
{
"id": 10,
"name": "Half body",
"key": "half_body",
"childrens": []
},
{
"id": 11,
"name": "Full body",
"key": "full_body",
"childrens": []
}
]
}
}
I can't figure out how to do this.
I'm new to mongodb and I've been trying to query this doc for awhile now.
Im trying to query all the rooms that have a room name of 100.
json
{
"count": 3,
"reviews": [
{
"_id": "5f9d42a0a8e71e004643f584",
"user": {
"_id": "5f7308cde0a4a7a66bc3d184",
"name": "Guest"
},
"room": {
"_id": "5f98f9321fd5bb0045b3d886",
"name": "100",
},
"rating": 4,
},
{
"_id": "5f9d431ea8e71e004643f585",
"user": {
"_id": "5f7308cde0a4a7a66bc3d184",
"name": "Guest",
},
"room": {
"_id": "5f98f9321fd5bb0045b3d886",
"name": "100",
},
"rating": 5,
},
{
"_id": "5f9e74fea6c06a0046d3cae2",
"user": {
"_id": "5f7308cde0a4a7a66bc3d184",
"name": "Guest",
},
"room": {
"_id": "5f98fa8b1fd5bb0045b3d88a",
"name": "300",
},
"rating": 5,
}
]}
what I've tried
1. find({},{"reviews.room.name": {$eq: "100"}}) // getting a projection error
2. find({"reviews.room.name": "100"}) // getting null
Any help to the right direction would be greatly appreciated.
Check out the docs about how to use find:
https://docs.mongodb.com/manual/reference/method/db.collection.find/
and try this
db.reviews.find({
"room.name": "100"
})
Here is the playground with your example: https://mongoplayground.net/p/dPfH5fSOePq
did u try this ? const response = await Room.find({name: "100"})
What is the query to update below data with mongoose. So 3 fields are going to be updated. Top Parent Points, Categories Points and Tag Points.
{
"_id": "561fba5e7fac41a4055fad45",
"fullName": "Test",
"points": 45,
"level": 1,
"categories": [
{
"name": "Computer Science",
"points": 15,
"level": 1,
"_id": "561fba5e7fac41a4055fad46",
"tags": [
{
"name": "C#",
"points": 10,
"level": 1,
"_id": "561fba5e7fac41a4055fad47"
},
{
"name": "Java",
"points": 5,
"level": 1,
"_id": "561fba5e7fac41a4055ert12"
}
]
},
{
"name": "History",
"points": 30,
"level": 2,
"_id": "562407d4e3edf2113f61ac37",
"tags": [
{
"name": "WW2",
"points": 30,
"level": 2,
"_id": "56240797e3edf2113f61ac36"
}
]
}
]
}
to this one. When user gets a point from a specific tag, it will effect all parents. Let's say, user gets 10 points from C# then i have to update mongodb to this.
{
"_id": "561fba5e7fac41a4055fad45",
"fullName": "Test",
**"points": 55,**
"level": 1,
"categories": [
{
"name": "Computer Science",
**"points": 25,**
"level": 1,
"_id": "561fba5e7fac41a4055fad46",
"tags": [
{
"name": "c#",
**"points": 20,**
"level": 1,
"_id": "561fba5e7fac41a4055fad47"
},
{
"name": "Java",
"points": 5,
"level": 1,
"_id": "561fba5e7fac41a4055ert12"
}
]
},
{
"name": "History",
"points": 30,
"level": 2,
"_id": "562407d4e3edf2113f61ac37",
"tags": [
{
"name": "WW2",
"points": 30,
"level": 2,
"_id": "56240797e3edf2113f61ac36"
}
]
}
]
}
you should use $elemMatch for querying your object
db.tests.update({_id: yourTestId, categories: {$elemMatch: {_id: categoryId}}}, {$set: {$inc: {"categories.$.points": 10, points: 10}}})
So you querying only needed array element and update it values with $ reference