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MongoDB stores data records as BSON documents. BSON is a binary representation of JSON documents, though it contains more data types than JSON. For the BSON spec, see bsonspec.org . See also BSON Types.
Document Structure
MongoDB documents are composed of field-and-value pairs and have the following structure:
{
field1: value1,
field2: value2,
field3: value3,
...
fieldN: valueN
}
The value of a field can be any of the BSON data types, including other documents, arrays, and arrays of documents. For example, the following document contains values of varying types:
var mydoc = {
_id: ObjectId("5099803df3f4948bd2f98391"),
name: { first: "Alan", last: "Turing" },
birth: new Date('Jun 23, 1912'),
death: new Date('Jun 07, 1954'),
contribs: [ "Turing machine", "Turing test", "Turingery" ],
views : NumberLong(1250000)
}
The above fields have the following data types:
_id
holds an ObjectId.name
holds an embedded document that contains the fieldsfirst
andlast
.birth
anddeath
hold values of the Date type.contribs
holds an array of strings.views
holds a value of the NumberLong type.
Field Names
Field names are strings.
Documents have the following restrictions on field names:
- The field name
_id
is reserved for use as a primary key; its value must be unique in the collection, is immutable, and may be of any type other than an array.
Field names cannot contain the
null
character.Top-level field names cannot start with the dollar sign (
$
) character.Otherwise, starting in MongoDB 3.6, the server permits storage of field names that contain dots (i.e.
.
) and dollar signs (i.e.$
).Important
The MongoDB Query Language cannot always meaningfully express queries over documents whose field names contain these characters (see SERVER-30575 ).
Until support is added in the query language, the use of
$
and.
in field names is not recommended and is not supported by the official MongoDB drivers.
BSON documents may have more than one field with the same name. Most MongoDB interfaces , however, represent MongoDB with a structure (e.g. a hash table) that does not support duplicate field names. If you need to manipulate documents that have more than one field with the same name, see the driver documentation for your driver.
Some documents created by internal MongoDB processes may have duplicate fields, but no MongoDB process will ever add duplicate fields to an existing user document.
Field Value Limit
For indexed collections, the values for the indexed fields have a Maximum Index Key Length
limit. See Maximum Index Key Length
for details.
Dot Notation
MongoDB uses the dot notation to access the elements of an array and to access the fields of an embedded document.
Arrays
To specify or access an element of an array by the zero-based index position, concatenate the array name with the dot (.
) and zero-based index position, and enclose in quotes:
"<array>.<index>"
For example, given the following field in a document:
{
...
contribs: [ "Turing machine", "Turing test", "Turingery" ],
...
}
To specify the third element in the contribs
array, use the dot notation "contribs.2"
.
For examples querying arrays, see:
See also
$[]
all positional operator for update operations,$[/<identifier/>]
filtered positional operator for update operations,$
positional operator for update operations,$
projection operator when array index position is unknown- Query an Array for dot notation examples with arrays.
Embedded Documents
To specify or access a field of an embedded document with dot notation, concatenate the embedded document name with the dot (.
) and the field name, and enclose in quotes:
"<embedded document>.<field>"
For example, given the following field in a document:
{
...
name: { first: "Alan", last: "Turing" },
contact: { phone: { type: "cell", number: "111-222-3333" } },
...
}
- To specify the field named
last
in thename
field, use the dot notation"name.last"
. - To specify the
number
in thephone
document in thecontact
field, use the dot notation"contact.phone.number"
.
For examples querying embedded documents, see:
Document Limitations
Documents have the following attributes:
Document Size Limit
The maximum BSON document size is 16 megabytes.
The maximum document size helps ensure that a single document cannot use excessive amount of RAM or, during transmission, excessive amount of bandwidth. To store documents larger than the maximum size, MongoDB provides the GridFS API. See mongofiles
and the documentation for your driver for more information about GridFS.
Document Field Order
MongoDB preserves the order of the document fields following write operations except for the following cases:
- The
_id
field is always the first field in the document. - Updates that include
renaming
of field names may result in the reordering of fields in the document.
Changed in version 2.6: Starting in version 2.6, MongoDB actively attempts to preserve the field order in a document. Before version 2.6, MongoDB did not actively preserve the order of the fields in a document.
The _id
Field
In MongoDB, each document stored in a collection requires a unique _id field that acts as a primary key. If an inserted document omits the _id
field, the MongoDB driver automatically generates an ObjectId for the _id
field.
This also applies to documents inserted through update operations with upsert: true.
The _id
field has the following behavior and constraints:
By default, MongoDB creates a unique index on the
_id
field during the creation of a collection.The
_id
field is always the first field in the documents. If the server receives a document that does not have the_id
field first, then the server will move the field to the beginning.The
_id
field may contain values of any BSON data type, other than an array.Warning
To ensure functioning replication, do not store values that are of the BSON regular expression type in the
_id
field.
The following are common options for storing values for _id
:
Use an ObjectId.
Use a natural unique identifier, if available. This saves space and avoids an additional index.
Generate an auto-incrementing number.
Generate a UUID in your application code. For a more efficient storage of the UUID values in the collection and in the
_id
index, store the UUID as a value of the BSONBinData
type.Index keys that are of the
BinData
type are more efficiently stored in the index if:- the binary subtype value is in the range of 0-7 or 128-135, and
- the length of the byte array is: 0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 14, 16, 20, 24, or 32.
Use your driver’s BSON UUID facility to generate UUIDs. Be aware that driver implementations may implement UUID serialization and deserialization logic differently, which may not be fully compatible with other drivers. See your driver documentation for information concerning UUID interoperability.
Note
Most MongoDB driver clients will include the _id
field and generate an ObjectId
before sending the insert operation to MongoDB; however, if the client sends a document without an _id
field, the mongod
will add the _id
field and generate the ObjectId
.
Other Uses of the Document Structure
In addition to defining data records, MongoDB uses the document structure throughout, including but not limited to: query filters, update specifications documents, and index specification documents
Query Filter Documents
Query filter documents specify the conditions that determine which records to select for read, update, and delete operations.
You can use <field>:<value>
expressions to specify the equality condition and query operator expressions.