I'm using meteor(mongodb) as a backend and I'm trying to query a collection that holds the data this way:
{
"name" : "Some name",
"data" : [
{
"0" : { "type" : "textInput", "value" : "Text", },
"1" : { "type" : "textInput", "value" : "Text", },
"2" : { "type" : "userInput", "value" : {
"userIds" : [ ... "Some mongo objectIds" ... ],
},
},
"3" : { "type" : "textInput", "value" : "Some text", }
},
{
"0" : { "type" : "textInput", "value" : "some text", },
"1" : { "type" : "textInput", "value" : "some text", },
}
],
}
data field can hold any number of objects, each object is a map from number to object with type and value fields.
Specifically, I would like to find all the documents that has a userInput and hold a specific userId (mongo objectId). How can I do it with this data structure?
In this example I can look for "Some mongo objectIds" to find this document (first object of data, index 2).
Related
I have a document which looks like this
{
_id:'asasasasa23sdsdsd',
source:'page',
url:[]
}
I need to upsert some values/objects to the url array. the objects that need to be upserted looks like this.
{
"type" : "blog",
"value" : "hello blog",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
}
Then it would look like this
{
_id:'asasasasa23sdsdsd',
source:'page',
url:[{
"type" : "admin",
"value" : "hello admin",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
},
{
"type" : "blog",
"value" : "hello blog",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
}
]
}
Here the id and the type fields are unique. I need to insert them if they do not exist or update them if they do.
This is the code that I have tried
db.collection(TABLE_NAME).update(
{ source: data.source },
{
source: data.source,
url: [data.urls]
},
{ upsert: true }
);
With this, it just replaces the array object with a new object. How to upsert instead of replacing the object?
I think this code will help.
let arr = [
{
"type" : "admin",
"value" : "hello admin",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
},
{
"type" : "blog",
"value" : "hello blog",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
}
];
db.users.update(
{ _id: doc._id },
{
$set: {
"url": arr
}
}
);
Find documents with duplicated objects inside an array.
Some answers works just with array made of "basic type elements" (i.e. array of strings). Here I want to filter on certain objects fields
In example:
{
"name": "1",
"arr": [{ "type": "fruit", "name":"pear"},{ "type": "fruit","name":"banana"}]
},
{
"name":"2",
"arr": [{"type":"fish"}]
}
Given the above two documents, I want to retrieve just document 1, because it has 2 elements in the array that have the same type. (Of course I want all documents with such property, not just one)
The following query can get us the expected output:
db.collection.find({
$expr:{
$ne:[
{
$size:"$arr"
},
{
$size:{
$setUnion:["$arr.type"]
}
}
]
}
}).pretty()
Data set:
{
"_id" : ObjectId("5d7b8546d76ccfa3cb0f133c"),
"name" : "1",
"arr" : [
{
"type" : "fruit",
"name" : "pear"
},
{
"type" : "fruit",
"name" : "banana"
}
]
}
{
"_id" : ObjectId("5d7b8546d76ccfa3cb0f133d"),
"name" : "2",
"arr" : [
{
"type" : "fish"
}
]
}
{
"_id" : ObjectId("5d7b8546d76ccfa3cb0f133e"),
"name" : "3",
"arr" : [
{
"type" : "product",
"name" : "watch"
},
{
"type" : "product",
"name" : "Pen"
}
]
}
Output:
{
"_id" : ObjectId("5d7b8546d76ccfa3cb0f133c"),
"name" : "1",
"arr" : [
{
"type" : "fruit",
"name" : "pear"
},
{
"type" : "fruit",
"name" : "banana"
}
]
}
{
"_id" : ObjectId("5d7b8546d76ccfa3cb0f133e"),
"name" : "3",
"arr" : [
{
"type" : "product",
"name" : "watch"
},
{
"type" : "product",
"name" : "Pen"
}
]
}
Query analysis: We are filtering documents in which the size of arr is not equal to the count of unique type present in the arr
I need to find collections based nested on values.But my collection having dynamic values . See below code. In which image name keys are dynamic ( _DSC9691.jpg , _DSC9514.JPG ) and " key1 " is dynamic items. Now I need to find collection based on component, material, Subtype
{
"_id" : ObjectId("5ce2df8498f10b276cb466c4"),
"num" : "1",
"lat" : "39.941436099965",
"lon" : "-86.0691700063581",
"images" : {
"_DSC9691.jpg" : {
"key1" : {
"component" : "Sleeve",
"condition" : "",
"sub_type" : {
"Auto Sleeve" : true
},
"material" : "",
"misc" : ""
}
}
}}
{
"_id" : ObjectId("5ce2df8498f10b276cb466c7"),
"num" : "4",
"lat" : "39.9413828961847",
"lon" : "-86.0715084495015",
"images" : {
"_DSC9554.JPG" : {
},
"_DSC9514.JPG" : {
},
"_DSC9622.JPG" : {
}
}}
#Nagendran you won't be able to perform those operations because the nested document that you want to watch isn't named properly. I suggest you to rename that field using a common name and try to use the code bellow. Also remember to not use blank spaces on field names like "Auto Sleeve".
Object:
{
"_id" : ObjectId("5ce2df8498f10b276cb466c7"),
"num" : "4",
"lat" : "39.9413828961847",
"lon" : "-86.0715084495015",
"images" : [
{
"name" : "some name",
"key":
{
"component" : "Sleeve",
"condition" : "",
"sub_type" : {
"Auto_Sleeve" : true
},
"material" : "",
"misc" : ""
},
},
{
"name" : "some name 2",
"key":
{
"component" : "Sleeve 2",
"condition" : "",
"sub_type" : {
"Auto_Sleeve" : true
},
"material" : "",
"misc" : ""
},
},
]
}
Query:
db.collection.find({
"images.key.sub_type.Auto_Sleeve": true
})
If you want you can use aggregation framework to filter inside the "images" nested document.
To get a litle bit more information you can access:
https://docs.mongodb.com/manual/aggregation/
https://docs.mongodb.com/manual/tutorial/query-documents/
https://www.mongodb.com/blog/post/6-rules-of-thumb-for-mongodb-schema-design-part-1
https://university.mongodb.com/
I am trying to query for Mongo documents based on 1 many key value pairs over a large collection of documents.
I am storing the values in an array called descriptors. I cannot figure out to write the query to consistently return results.
Basically I am trying to write the following SQL query in Mongo
select * from descriptors where
(id=123 and value="Latest based on new infor")
or
(id=3221 and value="Latest new info")
I have tried the following:
db.collection.find({$or: [
{ descriptors:
{
'$elemMatch':
{
id: 123,
value: 'Latest based on new infor',
}
}
},
{ descriptors:
{
'$elemMatch':
{
id: 3221,
value: 'Latest new info',
}
}
}
]
}
Here are sample documents.
{
"_id" : ObjectId("569d62673b020a47f0401325"),
"descriptors" : [
{
"id" : 123,
"name" : "Version",
"value" : "Latest based on new infor",
"parent" : null
},
{
"id" : 345,
"name" : "Eligibility Criteria",
"value" : "Really qualified ",
"parent" : null
}
],
}
{
"_id" : ObjectId("569dac2e4e6247c01bbac47f"),
"descriptors" : [
{
"id" : 3221,
"name" : "Version",
"value" : "Latest new info",
"parent" : null
},
{
"id" : 345,
"name" : "Eligibility Criteria",
"value" : "Different Value",
"parent" : null
}
],
}
{
"_id" : ObjectId("56bce4df7aae8369d8fc705d"),
"descriptors" : [
{
"id" : 3221,
"name" : "Version",
"value" : "Latest based on new infor",
"parent" : null
},
{
"id" : 345.0,
"name" : "Eligibility Criteria",
"value" : "Really qualified",
"parent" : null
}
],
}
Any help would be appreciated,
gsvi
My document looks like this
{
field1: somevalue,
name:xtz
nested_documents: [ // array of nested document
{ x:"1", y:"2" }, // first nested document
{ x:"2", y:"3" }, // second nested document
{ x:"-1", y:"3" }, // second nested document
// ...many more nested documents
]
}
How one can sort the data present in nested_documents?
Expected answer is shown below:
nested_documents: [ { x:"-1", y:"3" },{ x:"1", y:"2" },{ x:"2", y:"3" }]
To do this you would have to use the aggregation framework
db.test.aggregate([{$unwind:'$nested_documents'},{$sort:{'nested_documents.x':
1}}])
this returns
"result" : [
{
"_id" : ObjectId("5139ba3dcd4e11c83f4cea12"),
"field1" : "somevalue",
"name" : "xtz",
"nested_documents" : {
"x" : "-1",
"y" : "3"
}
},
{
"_id" : ObjectId("5139ba3dcd4e11c83f4cea12"),
"field1" : "somevalue",
"name" : "xtz",
"nested_documents" : {
"x" : "1",
"y" : "2"
}
},
{
"_id" : ObjectId("5139ba3dcd4e11c83f4cea12"),
"field1" : "somevalue",
"name" : "xtz",
"nested_documents" : {
"x" : "2",
"y" : "3"
}
}
],
"ok" : 1
Hope this helps