$lt
The $lt operator retrieves documents where the value of field is less than a specified value
$lt
The $lt operator retrieves documents where the value of a field is strictly less than a specified value. The $lt operator filters documents based on numeric, date, or string values.
Parameters
| Parameter | Description |
|---|---|
field | The field in the document you want to evaluate |
value | The value to compare against the field's value. The operator will match documents where the field's value is less than this specified value |
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 below $36,000
To find a store with less than $36,000 in sales, first run a query using $lt on the sales.totalSales field. Then project only the name and total sales of the resulting stores and limit the number of results to a single document.
db.stores.find({
"sales.totalSales": {
$lt: 36000
}
}, {
name: 1,
"sales.totalSales": 1
}, {
limit: 1
})The first result returned by this query is:
[
{
"_id": "e6895a31-a5cd-4103-8889-3b95a864e5a6",
"name": "VanArsdel, Ltd. | Picture Frame Store - Port Clevelandton",
"sales": { "totalSales": 17676 }
}
]