$gt

The $gt operator retrieves documents where the value of a field is greater than a specified value. The $gt operator queries numerical and date values to filter records that exceed a specified threshold.

Syntax

{
    field: {
        $gt: value
    }
}

Parameters

Parameter Description
field The field in the document you want to compare
value The value that the field should be greater than

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: Retrieve stores with sales exceeding $35,000

To retrieve a store with over $35,000 in sales, first run a query with $gt operator on the sales.totalSales field. Then limit the query results to one store.

db.stores.find({
    "sales.totalSales": {
        $gt: 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 more than 12 full-time staff

To find a store with more than 12 full time staff, first run a query with the $gt operator on the staff.totalStaff.fullTime field. Then project just the name and totalStaff fields and limit the result set to a single store from the list of matching results.

db.stores.find({
    "staff.totalStaff.fullTime": {
        $gt: 12
    }
}, {
    name: 1,
    "staff.totalStaff": 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, "partTime": 17 } }
    }
]

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