Query on Nested Field To specify a query condition on fields in an embedded/nested document, use dot notation ( "field. nestedField" ). When querying using dot notation, the field and nested field must be inside quotation marks.
You can search nested fields using dot notation that includes the complete path, such as obj1.name . Multi-level nesting is automatically supported, and detected, resulting in an inner nested query to automatically match the relevant nesting level, rather than root, if it exists within another nested query.
Accessing embedded/nested documents – In MongoDB, you can access the fields of nested/embedded documents of the collection using dot notation and when you are using dot notation, then the field and the nested field must be inside the quotation marks.
You can perform a nested query in Elasticsearch by using the nested parameter. A nested query will search the nested field objects and return the document's root parent if there's a matching object.
db.messages.find( { headers : { From: "[email protected]" } } )
This queries for documents where headers
equals { From: ... }
, i.e. contains no other fields.
db.messages.find( { 'headers.From': "[email protected]" } )
This only looks at the headers.From
field, not affected by other fields contained in, or missing from, headers
.
Dot-notation docs
The two query mechanism work in different ways, as suggested in the docs at the section Subdocuments:
When the field holds an embedded document (i.e, subdocument), you can either specify the entire subdocument as the value of a field, or “reach into” the subdocument using dot notation, to specify values for individual fields in the subdocument:
Equality matches within subdocuments select documents if the subdocument matches exactly the specified subdocument, including the field order.
In the following example, the query matches all documents where the value of the field producer is a subdocument that contains only the field company
with the value 'ABC123'
and the field address
with the value '123 Street'
, in the exact order:
db.inventory.find( {
producer: {
company: 'ABC123',
address: '123 Street'
}
});
Since there is a lot of confusion about queries MongoDB collection with sub-documents, I thought its worth to explain the above answers with examples:
First I have inserted only two objects in the collection namely: message
as:
> db.messages.find().pretty()
{
"_id" : ObjectId("5cce8e417d2e7b3fe9c93c32"),
"headers" : {
"From" : "[email protected]"
}
}
{
"_id" : ObjectId("5cce8eb97d2e7b3fe9c93c33"),
"headers" : {
"From" : "[email protected]",
"To" : "[email protected]"
}
}
>
So what is the result of query:
db.messages.find({headers: {From: "[email protected]"} }).count()
It should be one because these queries for documents where headers
equal to the object {From: "[email protected]"}
, only i.e. contains no other fields or we should specify the entire sub-document as the value of a field.
So as per the answer from @Edmondo1984
Equality matches within sub-documents select documents if the subdocument matches exactly the specified sub-document, including the field order.
From the above statements, what is the below query result should be?
> db.messages.find({headers: {To: "[email protected]", From: "[email protected]"} }).count()
0
And what if we will change the order of From
and To
i.e same as sub-documents of second documents?
> db.messages.find({headers: {From: "[email protected]", To: "[email protected]"} }).count()
1
so, it matches exactly the specified sub-document, including the field order.
For using dot operator, I think it is very clear for every one. Let's see the result of below query:
> db.messages.find( { 'headers.From': "[email protected]" } ).count()
2
I hope these explanations with the above example will make someone more clarity on find query with sub-documents.
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