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$type (aggregation)

Definition

$type

Returns a string that specifies the BSON type of the argument.

$type has the following operator expression syntax:

{ $type: <expression> }

The argument can be any valid expression.

Tip

$isNumber - checks if the argument is a number.
$type (Query) - filters fields based on BSON type.

Behavior

`$type`

Unlike the $type query operator, which matches array elements based on their BSON type, the $type aggregation operator does not examine array elements. Instead, when passed an array as its argument, the $type aggregation operator returns the type of the argument, i.e. "array".

If the argument is a field that is missing in the input document, $type returns the string "missing".

The following table shows the $type output for several common types of expressions:

Example	Results
`{ $type: "a" }`	`"string"`
`{ $type: /a/ }`	`"regex"`
`{ $type: 1 }`	`"double"`
`{ $type: Long(627) }`	`"long"`
`{ $type: { x: 1 } }`	`"object"`
`{ $type: [ [ 1, 2, 3 ] ] }`	`"array"`

Note

In the case of a literal array such as [ 1, 2, 3 ], enclose the expression in an outer set of array brackets to prevent MongoDB from parsing [ 1, 2, 3 ] as an argument list with three arguments (1, 2, 3). Wrapping the array [ 1, 2, 3 ] in a $literal expression achieves the same result.

See operator expression syntax forms for more information.

Available Types

Type	Number	Alias	Notes
Double	1	"double"
String	2	"string"
Object	3	"object"
Array	4	"array"
Binary data	5	"binData"
Undefined	6	"undefined"	Deprecated.
ObjectId	7	"objectId"
Boolean	8	"bool"
Date	9	"date"
Null	10	"null"
Regular Expression	11	"regex"
DBPointer	12	"dbPointer"	Deprecated.
JavaScript	13	"javascript"
Symbol	14	"symbol"	Deprecated.
JavaScript with scope	15	"javascriptWithScope"	Deprecated.
32-bit integer	16	"int"
Timestamp	17	"timestamp"
64-bit integer	18	"long"
Decimal128	19	"decimal"
Min key	-1	"minKey"
Max key	127	"maxKey"

If the argument is a field that is missing in the input document, $type returns the string "missing".

Example

This example uses a collection named coll with the following documents:

{ _id: 0, a : 8 }
{ _id: 1, a : [ 41.63, 88.19 ] }
{ _id: 2, a : { a : "apple", b : "banana", c: "carrot" } }
{ _id: 3, a :  "caribou" }
{ _id: 4, a : Long(71) }
{ _id: 5 }

The following aggregation operation uses the $type operator to display the type of field a for all documents as part of the $project stage.

db.coll.aggregate([{
    $project: {
       a : { $type: "$a" }
    }
}])

The operation returns the following:

{ _id: 0, "a" : "double" }
{ _id: 1, "a" : "array" }
{ _id: 2, "a" : "object" }
{ _id: 3, "a" : "string" }
{ _id: 4, "a" : "long" }
{ _id: 5, "a" : "missing" }

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