$sortArray (aggregation)
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Definition
$sortArray
New in version 5.2.
Sorts an array based on its elements. The sort order is user specified.
$sortArray
has the following syntax:$sortArray: { input: <array>, sortBy: <sort spec> } FieldTypeDescriptioninput
expressionThe array to be sorted.
The result is
null
if the expression:is missing
evaluates to
null
evaluates to
undefined
If the expression evaluates to any other non-array value, the document returns an error.
sortBy
documentThe document specifies a sort ordering.
Behavior
The $sortArray
expression orders the input
array
according to the sortBy
specification.
The $sortArray
syntax and semantics are the same as the
behavior in a $push
operation modified by $sort
.
Sort by Document Fields
If the array elements are documents, you can sort by a document field.
Specify the field name and a sort direction, ascending (1
), or
descending (-1
).
{ input: <array-of-documents>, sortBy: { <document-field>: {sort-direction> } }
Sort by Value
To sort the whole array by value, or to sort by array elements that are
not documents, identify the input array and specify 1 for an ascending
sort or -1 for descending sort in the sortBy
parameter.
{ input: <array-of-documents>, sortBy: { sort-direction> } }
Considerations
There is no implicit array traversal on the sort key.
Positional operators are not supported. A field name like "values.1" denotes a sub-field called "1" in the
values
array. It does not refer to the item at index 1 in thevalues
array.When a whole array is sorted, the sort is lexicographic. The aggregation
$sort
stage, behaves differently. See$sort
for more details.When an array is sorted by a field, any documents or scalars that do not have the specified field are sorted equally. The resulting sort order is undefined.
null
values and missing values sort equally.
Sort Stability
The stability of the sort is not specified. Users should not rely on
$sortArray
to use a particular sorting algorithm.
Examples
The $sortArray
examples in this section work on MongoDB
5.2 and later.
Create the team
collection:
db.engineers.insertOne( { "team": [ { "name": "pat", "age": 30, "address": { "street": "12 Baker St", "city": "London" } }, { "name": "dallas", "age": 36, "address": { "street": "12 Cowper St", "city": "Palo Alto" } }, { "name": "charlie", "age": 42, "address": { "street": "12 French St", "city": "New Brunswick" } } ] } )
The team
array has three elements. Each element of team
has
nested sub-elements: name
, age
, and address
. The following
examples show how to sort the team
array using these sub-elements.
Sort on a Field
Sort on a field within an array element:
db.engineers.aggregate( [ { $project: { _id: 0, result: { $sortArray: { input: "$team", sortBy: { name: 1 } } } } } ] )
The name
field is a sub-element in the team
array. The
operation returns the following results:
{ result: [ { name: 'charlie', age: 42, address: { street: '12 French St', city: 'New Brunswick' } }, { name: 'dallas', age: 36, address: { street: '12 Cowper St', city: 'Palo Alto' } }, { name: 'pat', age: 30, address: { street: '12 Baker St', city: 'London' } } ] }
Sort on a Subfield
The address
field is a document with subfields of its own. Use dot
notation to sort the array based on a subfield:
db.engineers.aggregate( [ { $project: { _id: 0, result: { $sortArray: { input: "$team", sortBy: { "address.city": -1 } } } } } ] )
The sort direction is descending because the sortBy
value is "-1".
{ result: [ { name: 'dallas', age: 36, address: { street: '12 Cowper St', city: 'Palo Alto' } }, { name: 'charlie', age: 42, address: { street: '12 French St', city: 'New Brunswick' } }, { name: 'pat', age: 30, address: { street: '12 Baker St', city: 'London' } } ] }
Sort on Multiple Fields
Specify multiple index fields to do a compound sort:
db.engineers.aggregate( [ { $project: { _id: 0, result: { $sortArray: { input: "$team", sortBy: { age: -1, name: 1 } } } } } ] )
Example output:
{ name: 'charlie', age: 42, address: { street: '12 French St', city: 'New Brunswick' } }, { name: 'dallas', age: 36, address: { street: '12 Cowper St', city: 'Palo Alto' } }, { name: 'pat', age: 30, address: { street: '12 Baker St', city: 'London' } }
Sort an Array of Integers
This example specifies an input array directly. The values are all the same type, Int32:
db.engineers.aggregate( [ { $project: { _id: 0, result: { $sortArray: { input: [ 1, 4, 1, 6, 12, 5 ], sortBy: 1 } } } } ] )
Example output:
[ { result: [ 1, 1, 4, 5, 6, 12 ] } ]
The input array has a "1" in position 0 and position 2. The ones are grouped together in the results, but their are no guarantees regarding how the group of ones is sorted relative to their original order.
Sort on Mixed Type Fields
This example specifies an input array directly. The values have different types:
db.engineers.aggregate( [ { $project: { _id: 0, result: { $sortArray: { input: [ 20, 4, { a: "Free" }, 6, 21, 5, "Gratis", { a: null }, { a: { sale: true, price: 19 } }, Decimal128( "10.23" ), { a: "On sale" } ], sortBy: 1 } } } } ] )
Example output:
{ result: [ 4, 5, 6, Decimal128("10.23"), 20, 21, 'Gratis', { a: null }, { a: 'Free' }, { a: 'On sale' }, { a: { sale: true, price: 19 } } ] }
The results are ordered.
In contrast, after changing the sortBy
field to sort on the one of
the document fields, sortBy: { a: 1 }
, the sort order for the
scalar and null
values is undefined:
{ result: [ 20, 4, 6, 21, 5, 'Gratis', { a: null }, Decimal128("10.23"), { a: 'Free' }, { a: 'On sale' }, { a: { sale: true, price: 19 } } ] }