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The $minute
operator extracts the minute portion from a date value, returning a number between 0 and 59. This operator is commonly used for time-based analysis and scheduling operations.
Syntax
{
$minute: <dateExpression>
}
Parameters
Parameter | Description |
---|---|
dateExpression |
An expression that resolves to a Date, a Timestamp, or an ObjectId. If the expression resolves to null or is missing, $minute returns null . |
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: Extract minutes from store opening date
This query extracts the minute portion from the store opening date to analyze opening time patterns.
db.stores.aggregate([
{ $match: {_id: "905d1939-e03a-413e-a9c4-221f74055aac"} },
{
$project: {
name: 1,
storeOpeningDate: 1,
openingMinute: {
$minute: "$storeOpeningDate"
}
}
}
])
This query returns the following result.
[
{
"_id": "905d1939-e03a-413e-a9c4-221f74055aac",
"name": "Trey Research | Home Office Depot - Lake Freeda",
"storeOpeningDate": ISODate("2024-09-26T22:55:25.779Z"),
"openingMinute": 55
}
]
Related content
- Review options for migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore).
- Read more about feature compatibility with MongoDB.