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The $sort stage in the aggregation pipeline is used to order the documents in the pipeline by a specified field or fields. This stage helps you sort data, like arranging sales by amount or events by date.
Syntax
{
$sort: {
< field1 >: < sort order > ,
< field2 >: < sort order >
}
}
Parameters
Parameter | Description |
---|---|
field |
The field to sort by |
sort order |
The order in which we should sort the field. 1 for ascending order and -1 for descending order. |
Examples
Consider this sample document from the stores collection.
{
"_id": "0fcc0bf0-ed18-4ab8-b558-9848e18058f4",
"name": "First Up Consultants | Beverage Shop - Satterfieldmouth",
"location": {
"lat": -89.2384,
"lon": -46.4012
},
"staff": {
"totalStaff": {
"fullTime": 8,
"partTime": 20
}
},
"sales": {
"totalSales": 75670,
"salesByCategory": [
{
"categoryName": "Wine Accessories",
"totalSales": 34440
},
{
"categoryName": "Bitters",
"totalSales": 39496
},
{
"categoryName": "Rum",
"totalSales": 1734
}
]
},
"promotionEvents": [
{
"eventName": "Unbeatable Bargain Bash",
"promotionalDates": {
"startDate": {
"Year": 2024,
"Month": 6,
"Day": 23
},
"endDate": {
"Year": 2024,
"Month": 7,
"Day": 2
}
},
"discounts": [
{
"categoryName": "Whiskey",
"discountPercentage": 7
},
{
"categoryName": "Bitters",
"discountPercentage": 15
},
{
"categoryName": "Brandy",
"discountPercentage": 8
},
{
"categoryName": "Sports Drinks",
"discountPercentage": 22
},
{
"categoryName": "Vodka",
"discountPercentage": 19
}
]
},
{
"eventName": "Steal of a Deal Days",
"promotionalDates": {
"startDate": {
"Year": 2024,
"Month": 9,
"Day": 21
},
"endDate": {
"Year": 2024,
"Month": 9,
"Day": 29
}
},
"discounts": [
{
"categoryName": "Organic Wine",
"discountPercentage": 19
},
{
"categoryName": "White Wine",
"discountPercentage": 20
},
{
"categoryName": "Sparkling Wine",
"discountPercentage": 19
},
{
"categoryName": "Whiskey",
"discountPercentage": 17
},
{
"categoryName": "Vodka",
"discountPercentage": 23
}
]
}
]
}
Example 1: Sorting by total sales in sescending order
To sort the sales categories by their total sales in descending order:
db.collection.aggregate([
{
$unwind: "$store.sales.salesByCategory"
},
{
$sort: { "store.sales.salesByCategory.totalSales": -1 }
}
])
The first two results returned by this query are:
[
{
"_id": "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c5",
"store": {
"name": "Downtown Store",
"sales": {
"salesByCategory": [
{
"category": "Electronics",
"totalSales": 15000
},
{
"category": "Clothing",
"totalSales": 12000
},
{
"category": "Home Goods",
"totalSales": 10000
}
]
}
}
},
{
"_id": "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c6",
"store": {
"name": "Uptown Store",
"sales": {
"salesByCategory": [
{
"category": "Electronics",
"totalSales": 20000
},
{
"category": "Clothing",
"totalSales": 18000
},
{
"category": "Home Goods",
"totalSales": 15000
}
]
}
}
}
]
Example 2: Sorting by event start date in ascending order
To sort the promotion events by their start dates in ascending order:
db.collection.aggregate([
{
$unwind: "$store.promotionEvents"
},
{
$sort: { "store.promotionEvents.promotionalDates.startDate": 1 }
}
])
The first two results returned by this query are:
[
{
"_id": "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c5",
"store": {
"name": "Downtown Store",
"promotionEvents": [
{
"eventName": "Summer Sale",
"promotionalDates": {
"startDate": "2024-06-01T00:00:00Z",
"endDate": "2024-06-30T23:59:59Z"
}
},
{
"eventName": "Black Friday",
"promotionalDates": {
"startDate": "2024-11-25T00:00:00Z",
"endDate": "2024-11-25T23:59:59Z"
}
},
{
"eventName": "Holiday Deals",
"promotionalDates": {
"startDate": "2024-12-01T00:00:00Z",
"endDate": "2024-12-31T23:59:59Z"
}
}
]
}
},
{
"_id": "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c6",
"store": {
"name": "Uptown Store",
"promotionEvents": [
{
"eventName": "Back to School",
"promotionalDates": {
"startDate": "2024-08-01T00:00:00Z",
"endDate": "2024-08-31T23:59:59Z"
}
},
{
"eventName": "Winter Sale",
"promotionalDates": {
"startDate": "2024-12-01T00:00:00Z",
"endDate": "2024-12-31T23:59:59Z"
}
}
]
}
}
]
Example 3: Sorting an array of objects
The example sorts the salesByCategory
array in place based on the totalSales
field in ascending order.
db.stores.updateOne({
_id: "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c5"
}, {
$push: {
"sales.salesByCategory": {
$each: [],
$sort: {
totalSales: 1
}
}
}
}
)
Related content
- Review options for migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore).
- Read more about feature compatibility with MongoDB.