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APPLIES TO:
MongoDB vCore
The $lt
operator is used to match 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.
Syntax
The syntax for using the $lt
operator in a MongoDB query is:
{ "field": { "$lt": value } }
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 in the StoreData database.
{
"_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 stores with total sales less than $36000
db.stores.find({"sales.totalSales": { "$lt": 36000 }}, {"name": 1, "sales.totalSales": 1}, {"limit": 1})
This returns the following results:
{
"_id": "e6895a31-a5cd-4103-8889-3b95a864e5a6",
"name": "VanArsdel, Ltd. | Picture Frame Store - Port Clevelandton",
"sales": { "totalSales": 17676 }
}