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$function (aggregation)
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Definition
$function
New in version 4.4.
Defines a custom aggregation function or expression in JavaScript.
You can use the
$function
operator to define custom functions to implement behavior not supported by the MongoDB Query Language. See also$accumulator
.Important
Executing JavaScript inside an aggregation expression may decrease performance. Only use the
$function
operator if the provided pipeline operators cannot fulfill your application's needs.
Syntax
The $function
operator has the following syntax:
{ $function: { body: <code>, args: <array expression>, lang: "js" } }
Field | Type | Description |
---|---|---|
String or Code | The function definition. You can specify the function definition as either BSON type Code or String. See also lang.
or
| |
Array | Arguments passed to the function body.
If the body function does not take an
argument, you can specify an empty array The array elements can be any BSON type, including Code. See
Example 2: Alternative to | |
String | The language used in the body. You
must specify |
Considerations
Schema Validation Restriction
You cannot use $function
as part of schema validation
query expression.
Javascript Enablement
To use $function
, you must have server-side scripting
enabled (default).
If you do not use $function
(or $accumulator
,
$where
, or mapReduce
), disable server-side
scripting:
For a
mongod
instance, seesecurity.javascriptEnabled
configuration option or--noscripting
command-line option.For a
mongos
instance, seesecurity.javascriptEnabled
configuration option or the--noscripting
command-line option starting in MongoDB 4.4.In earlier versions, MongoDB does not allow JavaScript execution onmongos
instances.
Alternative to $where
The query operator $where
can also be used to specify
JavaScript expression. However:
The
$expr
operator allows the use of aggregation expressions within the query language.Starting in MongoDB 4.4, the
$function
and$accumulator
allows users to define custom aggregation expressions in JavaScript if the provided pipeline operators cannot fulfill your application's needs.
Given the available aggregation operators:
The use of
$expr
with aggregation operators that do not use JavaScript (i.e. non-$function
and non-$accumulator
operators) is faster than$where
because it does not execute JavaScript and should be preferred if possible.However, if you must create custom expressions,
$function
is preferred over$where
.
Examples
Example 1: Usage Example
Create a sample collection named players
with the following
documents:
db.players.insertMany([ { _id: 1, name: "Miss Cheevous", scores: [ 10, 5, 10 ] }, { _id: 2, name: "Miss Ann Thrope", scores: [ 10, 10, 10 ] }, { _id: 3, name: "Mrs. Eppie Delta ", scores: [ 9, 8, 8 ] } ])
The following aggregation operation uses $addFields
to
add new fields to each document:
isFound
whose value is determined by the custom$function
expression that checks whether the MD5 hash of the name is equal to a specified hash.message
whose value is determined by the custom$function
expression that format a string message using a template.
db.players.aggregate( [ { $addFields: { isFound: { $function: { body: function(name) { return hex_md5(name) == "15b0a220baa16331e8d80e15367677ad" }, args: [ "$name" ], lang: "js" } }, message: { $function: { body: function(name, scores) { let total = Array.sum(scores); return `Hello ${name}. Your total score is ${total}.` }, args: [ "$name", "$scores"], lang: "js" } } } } ] )
The operation returns the following documents:
{ "_id" : 1, "name" : "Miss Cheevous", "scores" : [ 10, 5, 10 ], "isFound" : false, "message" : "Hello Miss Cheevous. Your total score is 25." } { "_id" : 2, "name" : "Miss Ann Thrope", "scores" : [ 10, 10, 10 ], "isFound" : true, "message" : "Hello Miss Ann Thrope. Your total score is 30." } { "_id" : 3, "name" : "Mrs. Eppie Delta ", "scores" : [ 9, 8, 8 ], "isFound" : false, "message" : "Hello Mrs. Eppie Delta . Your total score is 25." }
Example 2: Alternative to $where
Note
Aggregation Alternatives Preferred over $where
The $expr
operator allows the use of
aggregation expressions within the
query language. And, starting in MongoDB 4.4, the
$function
and $accumulator
allows users to
define custom aggregation expressions in JavaScript if the provided
pipeline operators cannot
fulfill your application's needs.
Given the available aggregation operators:
The use of
$expr
with aggregation operators that do not use JavaScript (i.e. non-$function
and non-$accumulator
operators) is faster than$where
because it does not execute JavaScript and should be preferred if possible.However, if you must create custom expressions,
$function
is preferred over$where
.
As an alternative to a query that uses the $where
operator,
you can use $expr
and $function
. For example,
consider the following $where
example.
db.players.find( { $where: function() { return (hex_md5(this.name) == "15b0a220baa16331e8d80e15367677ad") } } );
The db.collection.find()
operation returns the following document:
{ "_id" : 2, "name" : "Miss Ann Thrope", "scores" : [ 10, 10, 10 ] }
The example can be expressed using $expr
and $function
:
db.players.find( {$expr: { $function: { body: function(name) { return hex_md5(name) == "15b0a220baa16331e8d80e15367677ad"; }, args: [ "$name" ], lang: "js" } } } )