MongoDB Document – Structure and Sample Documents

MongoDB Document

MongoDB Document is an entity in which zero or more ordered field-value pairs are stored.

In comparison to Relational Databases, it is analogous to a record or row in table.

Document in MongoDB follows BSON Specifications. BSON is binary encoded serialization of JSON-like documents. With BSON, MongoDB Documents can be traversed easily. As BSON uses C data types, encoding data to BSON or decoding from BSON is easier in most of the programming languages.

A document can have documents nested in them. MongoDB Documents are the building blocks of a MongoDB Collection.

We shall learn following topics in this tutorial :

• Operations that could be performed on Documents in MongoDB
• Structure of a MongoDB Document
• Sample MongoDB Documents

MongoDB Document Operations

Following operations could be performed on MongoDB Documents.

• MongoDB Insert Document to a Collection
• MongoDB Query Documents of a Collection
• MongoDB Update Document of a Collection
• MongoDB Delete Document from a Collection

Structure of MongoDB Document

Following is structure of a Document in MongoDB:

{
	field1:value1;
	field2:value2;
	.
	.
	fieldN:valueN;
}

Document can contain N number of field-value pairs.

The values can have any datatype that is supported by BSON specification.

Simple MongoDB Document

Following is a simple Document with field-value pairs

{
	name: "Midhuna",
	age: 23,
	place: "New York",
	hobbies: ["Singing", "Reading Books"]
}

Sample MongoDB Document

Lets see a Document containing other documents nested in.

{
	name: "Midhuna",
	age: 23,
	place: "New York",
	hobbies: ["Singing", "Reading Books"]
	spouse: {
		name: "Akash",
		age: 25
	}
}

Conclusion

In this MongoDB Tutorial, we have learnt about MongoDB Documents, its structure with samples and the operations that could be performed on them.