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The $dateDiff
operator calculates the difference between two dates in various units such as years, months, days, etc. It's useful for determining the duration between two timestamps in your dataset.
Syntax
$dateDiff: {
startDate: <expression>,
endDate: <expression>,
unit: <string>,
timezone: <string>, // Optional
startOfWeek: <string> // Optional
}
Parameters
Parameter | Description |
---|---|
startDate |
The beginning date for the calculation. |
endDate |
The ending date for the calculation. |
unit |
The unit of time to measure the difference. Valid values include: year , quarter , month , week , day , hour , minute , second , millisecond . |
timezone |
Optional. The timezone to use for the calculation. |
startOfWeek |
Optional. The starting day of the week. Valid values are: Sunday , Monday , Tuesday , Wednesday , Thursday , Friday , Saturday . |
Example
Let's understand the usage with sample json from stores
dataset.
{
"_id": "e6410bb3-843d-4fa6-8c70-7472925f6d0a",
"name": "Relecloud | Toy Collection - North Jaylan",
"location": {
"lat": 2.0797,
"lon": -94.4134
},
"staff": {
"employeeCount": {
"fullTime": 7,
"partTime": 4
}
},
"sales": {
"salesByCategory": [
{
"categoryName": "Educational Toys",
"totalSales": 3299
}
],
"revenue": 3299
},
"promotionEvents": [
{
"eventName": "Massive Markdown Mania",
"promotionalDates": {
"startDate": {
"Year": 2024,
"Month": 9,
"Day": 21
},
"endDate": {
"Year": 2024,
"Month": 9,
"Day": 29
}
},
"discounts": [
{
"categoryName": "Remote Control Toys",
"discountPercentage": 6
},
{
"categoryName": "Building Sets",
"discountPercentage": 21
}
]
}
],
"company": "Relecloud",
"city": "North Jaylan",
"lastUpdated": {
"$timestamp": {
"t": 1733313006,
"i": 1
}
},
"storeOpeningDate": "2024-09-05T11:50:06.549Z"
}
Example 1: Calculate duration in days between two dates
The query uses $dateDiff
to compute the number of units (e.g., days, months) between two date fields. It helps measure durations like event length or time since a given date.
db.stores.aggregate([
{ $match: { _id: "e6410bb3-843d-4fa6-8c70-7472925f6d0a" } },
{ $unwind: "$promotionEvents" },
{
$project: {
eventName: "$promotionEvents.eventName",
startDate: {
$dateFromParts: {
year: "$promotionEvents.promotionalDates.startDate.Year",
month: "$promotionEvents.promotionalDates.startDate.Month",
day: "$promotionEvents.promotionalDates.startDate.Day"
}
},
endDate: {
$dateFromParts: {
year: "$promotionEvents.promotionalDates.endDate.Year",
month: "$promotionEvents.promotionalDates.endDate.Month",
day: "$promotionEvents.promotionalDates.endDate.Day"
}
},
durationInDays: {
$dateDiff: {
startDate: {
$dateFromParts: {
year: "$promotionEvents.promotionalDates.startDate.Year",
month: "$promotionEvents.promotionalDates.startDate.Month",
day: "$promotionEvents.promotionalDates.startDate.Day"
}
},
endDate: {
$dateFromParts: {
year: "$promotionEvents.promotionalDates.endDate.Year",
month: "$promotionEvents.promotionalDates.endDate.Month",
day: "$promotionEvents.promotionalDates.endDate.Day"
}
},
unit: "day"
}
}
}
}
])
The query returns the durationInDays along with other fields for the specified stores
document.
{
"_id": "e6410bb3-843d-4fa6-8c70-7472925f6d0a",
"eventName": "Massive Markdown Mania",
"startDate": "2024-09-21T00:00:00.000Z",
"endDate": "2024-09-29T00:00:00.000Z",
"durationInDays": 8
}
Related content
- Review options for migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore).
- Read more about feature compatibility with MongoDB.