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The $elemMatch operator is used to match documents that contain an array field with at least one element that matches all the specified query criteria. This operator is useful when you need to find array documents with specified element.
Syntax
db.collection.find({ <field>: { $elemMatch: { <query1>, <query2>, ... } } })
Parameters
| Parameter | Description |
|---|---|
field |
The field in the document that contains the array to be queried. |
query |
The conditions that at least one element in the array must satisfy. |
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 in an array for specific element among the list of elements
This query retrieves the first two documents in the stores collection that have at least one discount with the category name "DJ Lighting" in their promotionEvents array. The query only returns the _id and promotionEvents.discounts fields for those documents.
db.stores.find({
"promotionEvents.discounts": {
$elemMatch: {
categoryName: "DJ Lighting"
}
}
}, {
_id: 1,
"promotionEvents.discounts": 1
}).limit(2)
This query returns the following results:
[
{
"_id": "7954bd5c-9ac2-4c10-bb7a-2b79bd0963c5",
"promotionEvents": [
{
"discounts": [
{
"categoryName": "DJ Turntables",
"discountPercentage": 18
},
{
"categoryName": "DJ Mixers",
"discountPercentage": 15
}
]
},
{
"discounts": [
{
"categoryName": "DJ Lighting",
"discountPercentage": 14
},
{
"categoryName": "DJ Cases",
"discountPercentage": 20
}
]
}
]
},
{
"_id": "91de5201-8194-44bf-848f-674e8df8bf5e",
"promotionEvents": [
{
"discounts": [
{
"categoryName": "DJ Cases",
"discountPercentage": 6
},
{
"categoryName": "DJ Mixers",
"discountPercentage": 14
}
]
},
{
"discounts": [
{
"categoryName": "DJ Headphones",
"discountPercentage": 19
},
{
"categoryName": "DJ Speakers",
"discountPercentage": 13
}
]
},
{
"discounts": [
{
"categoryName": "DJ Lighting",
"discountPercentage": 12
},
{
"categoryName": "DJ Accessories",
"discountPercentage": 6
}
]
}
]
}
]
Related content
- Review options for migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore).
- Read more about feature compatibility with MongoDB.