$[]

The $[] operator in Azure Cosmos DB for MongoDB vCore is used to update all elements in an array that match a specified condition. This operator allows you to perform updates on multiple elements in an array without specifying their positions. It is particularly useful when you need to apply the same update to all items in an array.

Syntax

db.collection.update(
   <query>,
   {
     $set: {
       <arrayField>.$[]: <value>
     }
   }
)

Parameters

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: Updating Discount Percentages

This query updates all elements in the discounts array inside each promotion event.

db.stores.updateOne(
  { _id: "905d1939-e03a-413e-a9c4-221f74055aac" },
  {
    $inc: {
      "promotionEvents.$[].discounts.$[].discountPercentage": 5
    }
  }
)

Example 2: Updating Sales by Category

This query increase the total sales for all categories by 10% by using the $[] operator.

db.stores.update(
  { _id: "905d1939-e03a-413e-a9c4-221f74055aac" },
  {
    $mul: {
      "sales.salesByCategory.$[].totalSales": 1.10
    }
  }
)

Related content

• Review options for migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore).
• Read more about feature compatibility with MongoDB.