$gte

The $gte operator retrieves documents where the value of a field is greater than or equal to a specified value. The $gte operator retrieves documents that meet a minimum threshold for the value of a field.

Syntax

{
    field: {
        $gte: <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: Find a store with sales >= $35,000

To retrieve a store with at least $35,000 in sales, first run a query using the $gte operator on the sales.totalSales field. Then project only the name of the store and its total sales and limit the result set to one document.

db.stores.find({
    "sales.totalSales": {
        $gte: 35000
    }
}, {
    name: 1,
    "sales.totalSales": 1
}, {
    limit: 1
})

The first result returned by this query is:

[
    {
        "_id": "2cf3f885-9962-4b67-a172-aa9039e9ae2f",
        "name": "First Up Consultants | Bed and Bath Center - South Amir",
        "sales": { "totalSales": 37701 }
    }
]

Example 2: Find a store with 12 or more full-time staff

To retrieve a store with at least 12 full time staff, first run a query with the $gte operator on the staff.totalStaff.fullTime field. Then, project only the name and full time staff count and limit the results to a single document from the result set.

db.stores.find({
    "staff.totalStaff.fullTime": {
        $gte: 12
    }
}, {
    name: 1,
    "staff.totalStaff.fullTime": 1
}, {
    limit: 1
})

The first result returned by this query is:

[
    {
        "_id": "2cf3f885-9962-4b67-a172-aa9039e9ae2f",
        "name": "First Up Consultants | Bed and Bath Center - South Amir",
        "staff": { "totalStaff": { "fullTime": 18 } }
    }
]

Example 3: Find promotion events with a discount percentage greater than or equal to 15% for Laptops

To find two stores with promotions with a discount of at least 15% for laptops, first run a query to filter stores with laptop promotions. Then use the $gte operator on the discountPercentage field. Lastly, project only the name of the store and limit the results to two documents from the result set.

db.stores.find({
    "promotionEvents.discounts": {
        $elemMatch: {
            categoryName: "Laptops",
            discountPercentage: {
                $gte: 15
            }
        }
    }
}, {
    name: 1
}, {
    limit: 2
})

The first two results returned by this query are:

[
  {
    "_id": "60e43617-8d99-4817-b1d6-614b4a55c71e",
    "name": "Wide World Importers | Electronics Emporium - North Ayanashire"
  },
  {
    "_id": "3c441d5a-c9ad-47f4-9abc-ac269ded44ff",
    "name": "Contoso, Ltd. | Electronics Corner - New Kiera"
  }
]

Related content

• Review options for migrating from MongoDB to Azure DocumentDB.
• Read more about feature compatibility with MongoDB.