Query nested, 2 leves, array of objects in MongoDB - mongodb

Question

I am trying to query a coolection that has the following structure:
{
"_id" : ObjectId("58eed22d09865610c23453e3"),
"name" : "Maria das Dores",
"type" : "P",
"nickname" : "Dolores",
"notes" : "Notas\r\n\r\nCom quebra de página",
"updated_at" : ISODate("2017-04-13T01:19:41.000Z"),
"created_at" : ISODate("2017-04-13T01:19:41.000Z"),
"emails" : [
{
"value" : "maria#dores.com",
"default" : true,
"updated_at" : ISODate("2017-04-13T01:19:41.000Z"),
"created_at" : ISODate("2017-04-13T01:19:41.000Z"),
"_id" : ObjectId("58eed22d09865610c23453e4")
},
{
"value" : "maria#semdores.com",
"_id" : ObjectId("58eed23d09865605614005c4"),
"updated_at" : ISODate("2017-04-13T01:19:57.000Z"),
"created_at" : ISODate("2017-04-13T01:19:57.000Z")
}
],
"phones" : [
{
"value" : "(33) 8282383-2933",
"default" : false,
"updated_at" : ISODate("2017-04-25T12:11:14.000Z"),
"created_at" : ISODate("2017-04-13T01:19:41.000Z"),
"_id" : ObjectId("58eed22d09865610c23453e5")
},
{
"value" : "(85) 101010-1010101",
"default" : true,
"_id" : ObjectId("58ff3ce209865605681f40c2"),
"updated_at" : ISODate("2017-04-25T12:11:14.000Z"),
"created_at" : ISODate("2017-04-25T12:11:14.000Z")
},
{
"value" : "21343243343",
"_id" : ObjectId("58ff3d7d0986560b861c3b32"),
"updated_at" : ISODate("2017-04-25T12:13:49.000Z"),
"created_at" : ISODate("2017-04-25T12:13:49.000Z")
}
],
"copartner" : {
"enabled" : true,
"updated_at" : ISODate("2017-05-17T00:32:42.000Z"),
"created_at" : ISODate("2017-05-11T02:35:40.000Z"),
"_id" : ObjectId("5913cdfc09865664df031ec2"),
"applications" : {
"0" : {
"application_id" : "58e46443098656283d225b52",
"responsibility" : "DEV",
"percentage" : 1250,
"_id" : ObjectId("591a6f9d0986563c174cefd3"),
"updated_at" : ISODate("2017-05-16T03:18:53.000Z"),
"created_at" : ISODate("2017-05-16T03:18:53.000Z")
},
"1" : {
"application_id" : "58e46443098656283d225b52",
"responsibility" : "SALE",
"percentage" : 2000,
"_id" : ObjectId("591b9a2a09865605697fe3e3"),
"updated_at" : ISODate("2017-05-17T00:32:42.000Z"),
"created_at" : ISODate("2017-05-17T00:32:42.000Z")
}
}
}
}
I already test with the "dot" notation and using $elemMatch, but no one of them result in any match.
Dot notation query:
db.getCollection('persons').find({
"copartner.applications.application_id": "58e46443098656283d225b52"
})
$elemMatch query:
db.getCollection('persons').find({
"copartner.applications": { $elemMatch: { "applications_id": "58e46443098656283d225b52" } }
})

Answer 1

The dot notation will work with either one of these queries:
db.getCollection('persons').find({
"copartner.applications.0.application_id": "58e46443098656283d225b52"})
AND
db.getCollection('persons').find({
"copartner.applications.1.application_id": "58e46443098656283d225b52"})
"applications" is not an array, so $elemMatch is not applicable. "0" and "1" are nested fields instead of array elements. If you can, you're better off using an array for "applications".