I'm new to MongoDB/Mongoose, I'm trying to find all documents that their usersInvited array contains a certain UID.
Example:
a search through this collection with UID=123 should return id1, id2
[
{
"_id": "id1",
"usersInvited": [
{
"UID": "123"
}
]
},
{
"_id": "id2",
"usersInvited": [
{
"UID": "123"
}
]
},
{
"_id": "id3",
"usersInvited": [
{
"UID": "abc"
}
]
}
]
You can use $elemMatch for this:
db.myCollection.find({
usersInvited: {
$elemMatch: {
UID: "123"
}
}
})
https://docs.mongodb.org/v3.0/reference/method/db.collection.find/#query-an-array-of-documents
You can directly query against the UID field within the usersInvited array elements using dot notation:
MyModel.find({'usersInvited.UID': '123'}, (err, docs) => {...});
If any of the elements of the array has a UID value of '123', the document will be included.
var query = FriendHittups.find({
usersInvited: {
$elemMatch: {
"UID": "123"
}
}
});
query.exec(function (err, results){
});
Related
I have this JSON
{
"srv_config": [{
"name": "db1",
"servers": ["srv1", "srv2"],
"prop": [{"source":"aa"},"destination":"bb"},{"source":"cc"},"destination":"cc"},]
}, {
"name": "db2",
"servers": ["srv2", "srv2"],
"prop": [{"source":"dd"},"destination":"dd"},{"source":"ee"},"destination":"ee"},]
}
]
}
I try to build a JMESPath expression to select the prop application in each object in the main array, but based on the existence of a string in the servers element.
To select all props, I can do:
*.props [*]
But how do I add condition that says "select only if srv1 is in servers list"?
You can use the contains function in order to filter based on a array containing something.
Given the query:
*[?contains(servers, `srv1`)].prop | [][]
This gives us:
[
{
"source": "aa",
"destination": "bb"
},
{
"source": "cc",
"destination": "cc"
}
]
Please mind that I am also using a bit of flattening here.
All this run towards a corrected version of you JSON:
{
"srv_config":[
{
"name":"db1",
"servers":[
"srv1",
"srv2"
],
"prop":[
{
"source":"aa",
"destination":"bb"
},
{
"source":"cc",
"destination":"cc"
}
]
},
{
"name":"db2",
"servers":[
"srv2",
"srv2"
],
"prop":[
{
"source":"dd",
"destination":"dd"
},
{
"source":"ee",
"destination":"ee"
}
]
}
]
}
Here is the sample JSON
Sample JSON:
[
{
"_id": "123456789",
"YEAR": "2019",
"VERSION": "2019.Version",
"QUESTION_GROUPS": [
{
"QUESTIONS": [
{
"QUESTION_NAME": "STATE_CODE",
"QUESTION_VALUE": "MH"
},
{
"QUESTION_NAME": "COUNTY_NAME",
"QUESTION_VALUE": "IN"
}
]
},
{
"QUESTIONS": [
{
"QUESTION_NAME": "STATE_CODE",
"QUESTION_VALUE": "UP"
},
{
"QUESTION_NAME": "COUNTY_NAME",
"QUESTION_VALUE": "IN"
}
]
}
]
}
]
Query that am using :
db.collection.find({},
{
"QUESTION_GROUPS.QUESTIONS.QUESTION_NAME": "STATE_CODE"
})
My requirement is retrive all QUESTION_VALUE whose QUESTION_NAME is equals to STATE_CODE.
Thanks in Advance.
If I get you well, What you are trying to do is something like:
db.collection.find(
{
"QUESTION_GROUPS.QUESTIONS.QUESTION_NAME": "STATE_CODE"
},
{
"QUESTION_GROUPS.QUESTIONS.QUESTION_VALUE": 1
})
Attention: you will get ALL the "QUESTION_VALUE" for ANY document which has a QUESTION_GROUPS.QUESTIONS.QUESTION_NAME with that value.
Attention 2: You will get also the _Id. It is by default.
In case you would like to skip those issues, you may need to use Aggregations, and unwind the "QUESTION_GROUPS"-> "QUESTIONS". This way you can skip both the irrelevant results, and the _id field.
It sounds like you want to unwind the arrays and grab only the question values back
Try this
db.collection.aggregate([
{
$unwind: "$QUESTION_GROUPS"
},
{
$unwind: "$QUESTION_GROUPS.QUESTIONS"
},
{
$match: {
"QUESTION_GROUPS.QUESTIONS.QUESTION_NAME": "STATE_CODE"
}
},
{
$project: {
"QUESTION_GROUPS.QUESTIONS.QUESTION_VALUE": 1
}
}
])
I am trying to get the sum ratings of user admin from this JSON object:
{
"_id": "5a7ef9a0ce8b5c00147c1ef3",
"assessed_by": "admin",
"rating": "Sad",
"assessment_date": "2018-02-10T13:54:53.303Z"
},
{
"_id": "5a7efe6083fec3001465b369",
"assessed_by": "admin",
"rating": "Sad",
"assessment_date": "2018-02-10T14:15:01.485Z"
}
Expected output:
{
"_id" : "admin",
"count" : 2.0
}
I also wanted to sort the assessment_date by range so I used the $and operator but it doesn't seem to work on Node. I have my code here:
const now = moment().utc();
const endDate = moment().utc().subtract(9, 'days');
model.aggregate({
$match: {
$and: [
{rating: "Sad"},
{assessment_date: {$lte: now}},
{assessment_date: {$gte: endDate}}
]
}
}, { $group:
{ _id: "admin",
count: {
$sum: 1 }
}
}, function(err, results){
console.log(results)
})
Mongo syntax seemed to work on Robomongo, but it doesn't work when trying on Node.
Your aggregation pipeline stages need to be in an array.
model.aggregate( [ { <stage> }, ... ] )
I'm having multiple documents in a collection, each document has this data structure :
{
_id: "some object id",
data1: [
{
data2_id : 13233,
data2: [
{
sub_data1: "text1",
sub_data2: "text2",
sub_data3: "text3",
},
{
sub_data1: "text4",
sub_data2: "text5",
sub_data3: "text6",
}
]
},
{
data2_id : 53233,
data2: [
{
sub_data1: "text4",
sub_data2: "text5",
sub_data3: "text6",
}
...
]
},
{
data2_id : 56233,
data2: [
{
sub_data1: "text7",
sub_data2: "text8",
sub_data3: "text9",
}
...
]
},
{
data2_id : 53236,
data2: [
{
sub_data1: "text10",
sub_data2: "text22",
sub_data3: "text33",
}
...
]
}
]
}
I'd like to update to a set of ids that maches some condition, update only the sub object within the document.
I've tries this:
db.collection.update({
"$and": [
{
"_id": {
"$in": [
{
"$id": "54369aca9bc25af3ca8b4568"
},
{
"$id": "54369aca9bc25af3ca8b4562"
}
]
}
},
{
"data1.data2": {
"$elemMatch": {
"sub_data1": "text4",
"sub_data2": "text5"
}
}
}
]
},
{
"data1.data2.$.sub_data3" : "text updated"
}
)
But I get the following error:
Update of data into MongoDB failed: dev.**.com:27017: cannot use the part (data2 of data1.data2.0.sub_data3) to traverse the element...
Any Ideas?
There is an open issue here that imposes a limitation when trying to update elements of an array nested within another array.
Besides, there are some improvements you can do here:
For your query you don't need the $and
db.collection.update(
{
"_id": {
"$in": [
{"$id": "54369aca9bc25af3ca8b4568"},
{"$id": "54369aca9bc25af3ca8b4562"}
]},
"data1.data2": {
"$elemMatch": {
"sub_data1": "text4",
"sub_data2": "text5"
}
},{..update...})
You might want to use $set:
db.collection.update(query,{ $set:{"name": "Mike"} })
Otherwise, you might lose the rest of the data within your document.
I am having a JSON data like below.
{
"divisions": [{
"name": "division1",
"id": "div1",
"subdivisions": [{
"name": "Sub1Div1",
"id": "div1sub1",
"schemes": [{
"name": "Scheme1",
"id": "scheme1"
}, {
"name": "Scheme2",
"id": "scheme2"
}]
}, {
"name": "Sub2Div1",
"id": "div1sub2",
"schemes": [{
"name": "Scheme3",
"id": "scheme3"
}]
}
]
}]
}
I want to read this into a TreeStore, but cannot change the subfields ( divisions, subdivisions, schemes ) to be the same (eg, children).
How can achieve I this?
When nested JSON is loaded into a TreeStore, essentially the children nodes are loaded through a recursive calls between TreeStore.fillNode() method and NodeInterface.appendChild().
The actual retrieval of each node's children field is done within TreeStore.onNodeAdded() on this line:
dataRoot = reader.getRoot(data);
The getRoot() of the reader is dynamically created in the reader's buildExtractors() method, which is what you'll need to override in order to deal with varying children fields within nested JSON. Here is how it's done:
Ext.define('MyVariJsonReader', {
extend: 'Ext.data.reader.Json',
alias : 'reader.varijson',
buildExtractors : function()
{
var me = this;
me.callParent(arguments);
me.getRoot = function ( aObj ) {
// Special cases
switch( aObj.name )
{
case 'Bill': return aObj[ 'children' ];
case 'Norman': return aObj[ 'sons' ];
}
// Default root is `people`
return aObj[ 'people' ];
};
}
});
This will be able to interpret such JSON:
{
"people":[
{
"name":"Bill",
"expanded":true,
"children":[
{
"name":"Kate",
"leaf":true
},
{
"name":"John",
"leaf":true
}
]
},
{
"name":"Norman",
"expanded":true,
"sons":[
{
"name":"Mike",
"leaf":true
},
{
"name":"Harry",
"leaf":true
}
]
}
]
}
See this JsFiddle for fully working code.