How to recursively query the nested documents of mogodb？ - mongodb

{
"id": "1505036191456227329",
"materialList": [
{
"id": "1505035441229459457",
"model": "",
"parentId": "0",
},
{
"id": "1505035441229459458",
"model": "",
"parentId": "1505035441229459457",
}, {
"id": "1505035441229459459",
"model": "",
"parentId": "1505035441229459457",
},{
"id": "1505035441229459460",
"model": "",
"parentId": "1505035441229459459",
}
]
}
this is my data,I want to find all sub data IDS with ID 1505035441229459457 under the materiallist。
The result of the query is 1505035441229459458,1505035441229459459,1505035441229459460


You will have to use $elemMatch for this.
Ex -> db.collection.find( { materialList: { $elemMatch: {id:
1505035441229459457 } } })

Related

Filter Nested Array Items CosmosDb

Is it possible to filter array items in CosmosDb? for example I just need customer info and the first pet(in an array)
Current result:
[
{
"CustomerId": "100",
"name": "John",
"lastName": "Doe",
"pets": [
{
"id": "pet01",
"CustomerId": "100",
"name": "1st pet"
},
{
"id": "pet02",
"CustomerId": "100",
"name": "2nd pet"
}
]
}
]
Expected:
[
{
"CustomerId": "100",
"name": "John",
"lastName": "Doe",
"pets": [
{
"id": "pet01",
"CustomerId": "100",
"name": "1st pet"
}
]
}
]

You can use ARRAY_SLICE function.
SQL:
SELECT c.CustomerId,c.name,c.lastName,ARRAY_SLICE(c.pets,0,1) as pets
FROM c
Result:
[
{
"CustomerId": "100",
"name": "John",
"lastName": "Doe",
"pets": [
{
"id": "pet01",
"CustomerId": "100",
"name": "1st pet"
}
]
}
]

mongodb - filter collection by string array contains ""

For the below document, I want to write mongodb query to get the result.
[{
"id": "1",
"class": "class1",
"value": "xyz"
}, {
"id": "2",
"class": "class2",
"value": "abc"
}, {
"id": "3",
"class": "class3",
"value": "123"
}, {
"id": "4",
"class": "class4"
}, {
"id": "5",
"class": "class5",
"value": ""
}
]
The search parameter is an array of values - ["abc", "xyz", ""] and this is
going to look attribute "value"
The output should be below and in this case, the third item in the search array "" is pointing to collection that has "id" - 4 and 5 :
[{
"id": "1",
"class": "class1",
"value": "xyz"
}, {
"id": "2",
"class": "class2",
"value": "abc"
}, {
"id": "4",
"class": "class4"
}, {
"id": "5",
"class": "class5",
"value": ""
}
]
Please assist to provide the mongodb query to get the result like this

Whenever you have blank string you can add null in array, like this,
db.collection.find({
value: {
$in: ["abc", "xyz", "", null]
}
})

Clean docs in collection by comparing them with reference

I have a lot of complex JSON objects which are placed in the collection. For example:
{
"name": "Mike",
"price": "444",
"distance": 881,
"someFiend": 123,
"lots": [
{
"aa": "111",
"bb": "222"
},
{
"xx": "000"
}
],
"apps": [
{
"app": 1
},
{
"app": 2
}
]
}
I only want to project only those fields which are present in the following reference document:
{
"name": "",
"price": "",
"lots": [
{
"aa": "",
"bb": ""
}
]
}
Expected output:
{
"name": "Mike",
"price": "444",
"lots": [
{
"aa": "111",
"bb": "222"
}
]
}
Is there any way to iterate all documents in the collection and then filter out fields that are not present in the reference doc?

How to check $exists in one to many relationship mongodb sails js?

Is there any way to find records that collection is empty?
For example please find below array. I want only that records with index "companydata" is empty. and also how can i get data that does not have empty "companydata" data.
Thanks in advance.
[
{
"company_id": {
"company_name": "C2",
"slug": "c2",
"is_organized": 1,
"status": "1",
"id": "5adf158f547f7f0314ca8b56",
"companydata": []
},
"user_id": "5ab889aee74a151b50d04ec1",
"status": "0",
"id": "5ae014e7432e85298081be0b"
},
{
"company_id": {
"company_name": "My Compnay",
"slug": "my-compnay",
"is_organized": 1,
"status": "1",
"id": "5ad442d98a0e0c1358ca93df",
"companydata": [
{
"name": "Bhavesh Amin",
"company_id": "5ad442d98a0e0c1358ca93df",
"status": "0",
"id": "5ad442da8a0e0c1358ca93e0"
}
]
},
"user_id": "5ab889aee74a151b50d04ec1",
"status": "0",
"id": "5ae01388432e85298081bdf8"
},
{
"company_id": {
"company_name": "Organization Name",
"slug": "organization-name",
"is_organized": 1,
"status": "1",
"id": "5ad08f9b938d1131eceea624",
"companydata": [
{
"name": "Helen H. Langley",
"company_id": "5ad08f9b938d1131eceea624",
"status": "1",
"id": "5ad08f9b938d1131eceea625"
}
]
},
"user_id": "5ab889aee74a151b50d04ec1",
"status": "0",
"id": "5ad42a5f52851a2b1449db2d"
},
]

Nested grouping of array

There are 3 master collection of category , subcategory and criteria each, i will be building framework with any possible combination of category , subcategory and criteria which will be stored as below-
framework document is added below having list of criteriaconfig as embedded object which further have single object of category , subcategory and criteria. you can refer criteriaconfig as link table that u call in mysql.
[
{
"id": "592bc3059f3ad715002b2331",
"name": "Framework1",
"description": "framework 1 for testing",
"criteriaConfigs": [
{
"id": "592bc3059f3ad715002b232f",
"category": {
"id": "591c2f5faa187956b2d0fb39",
"name": "category1",
"description": "category1",
"deleted": false,
"createdDate": 1495019359558
},
"subCategory": {
"id": "591c2f5faa187956b2d0fb83",
"name": "subCat1",
"description": "subCat1"
},
"criteria": {
"id": "591c2f5faa187956b2d0fbad",
"name": "criteria1",
"measure": "Action"
}
},
{
"id": "592bc3059f3ad715002b232e",
"category": {
"id": "591c2f5faa187956b2d0fb37",
"name": "Process",
"description": "Enagagement"
},
"subCategory": {
"id": "591c2f5faa187956b2d0fb81",
"name": "COMM / BRANDING",
"description": "COMM / BRANDING"
},
"criteria": {
"id": "591c2f5faa187956b2d0fba9",
"name": "Company representative forgets about customer on hold",
"measure": ""
}
} ]
},
{
"id": "592bc3059f3ad715002b2332",
"name": "Framework2",
"description": "framework 2 for testing",
"criteriaConfigs": [
{
"id": "592bc3059f3ad715002b232f",
"category": {
"id": "591c2f5faa187956b2d0fb39",
"name": "category1",
"description": "category1"
},
"subCategory": {
"id": "591c2f5faa187956b2d0fb83",
"name": "subCat1",
"description": "subCat1"
},
"criteria": {
"id": "591c2f5faa187956b2d0fbad",
"name": "criteria1",
"measure": "Action"
}
}
]
}
]
i need a view containing framework that will contain all list of category and inside category there will be list of added subcategory and inside subcategory will have list of criteria for single framework.
expected result -
[
{
"id": "f1",
"name": "Framework1",
"description": "framework 1 for testing",
"categories": [
{
"id": "c2",
"name": "category2",
"description": "category2",
"subCategories": [
{
"id": "sb1",
"name": "subCat1",
"description": "subCat1",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr2",
"name": "criteria2",
"measure": "Action"
},
{
"id": "cr3",
"name": "criteria3",
"measure": "Action"
}]
},
{
"id": "sb2",
"name": "subCat2",
"description": "subCat2",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr4",
"name": "criteria4",
"measure": "Action"
}]
}]
},
{
"id": "c1",
"name": "category1",
"description": "category1",
"subCategories": [
{
"id": "sb3",
"name": "subCat3",
"description": "subCat3",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr2",
"name": "criteria2",
"measure": "Action"
}
]},
{
"id": "sb2",
"name": "subCat2",
"description": "subCat2",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr4",
"name": "criteria4",
"measure": "Action"
}]
}
]
}]
},
{
"id": "f2",
"name": "Framework2",
"description": "framework 2 for testing",
"categories": [
{
"id": "c2",
"name": "category2",
"description": "category2",
"subCategories": [
{
"id": "sb4",
"name": "subCat5",
"description": "subCat5",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr3",
"name": "criteria3",
"measure": "Action"
}]
},
{
"id": "sb2",
"name": "subCat2",
"description": "subCat2",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr4",
"name": "criteria4",
"measure": "Action"
}]
}]
},
{
"id": "c1",
"name": "category1",
"description": "category1",
"subCategories": [
{
"id": "sb3",
"name": "subCat3",
"description": "subCat3",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr2",
"name": "criteria2",
"measure": "Action"
}
]},
{
"id": "sb2",
"name": "subCat2",
"description": "subCat2",
"criterias": [
{
"id": "cr1",
"name": "criteria1",
"measure": "Action"
},
{
"id": "cr4",
"name": "criteria4",
"measure": "Action"
}]
}
]
}]
}
]
Note - Category document doesn't have any reference to subcategory and same way subcategory doesn't have any reference to criteria object currently as they are master data and are generic , framework is created with their combination dynamically.

If you want to try to do all the work in the aggregation, you could group first by subcategory, then by category like:
db.collection.aggregate([
{$unwind:"$criteriaConfigs"},
{$project:{
_id:0,
category:"$criteriaConfigs.category",
subCategory:"$criteriaConfigs.subCategory",
criteria:"$criteriaConfigs.criteria"
}},
{$group:{
_id:{"category":"$category","subCategory":"$subCategory"},
criteria:{$addToSet:"$criteria"}
}},
{$group:{
_id:{"category":"$_id.category"},
subCategories:{$addToSet:{subCategory:"$_id.subCategory",
criteria:"$criteria"}}
}},
{$project:{
_id:0,category:"$_id.category",
subCategories:"$subCategories"
}}
])
Depending on how you plan to us the return data, it may be more efficient to return each unique combination:
db.collection.aggregate([
{$unwind:"$criteriaConfigs"},
{$group:{
_id:{
category:"$criteriaConfigs.category.name",
subCategory:"$criteriaConfigs.subCategory.name",
criteria:"$criteriaConfigs.criteria.name"
}
}},
{$project:{
_id:0,
category:"$_id.category",
subCategory:"$_id.subCategory",
criteria:"$_id.criteria"
}}
])
I'm not sure from your question what shape you are expecting the return data to have, so you may need to adjust for that.