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The $mul operator multiplies the value of a field by a specified number. If the field does not exist, $mul creates the field and sets it to zero. This operator is useful for applying percentage changes, scaling values, or performing bulk calculations on numeric fields.
Syntax
{
$mul: {
<field1>: <number1>,
<field2>: <number2>,
...
}
}
Parameters
| Parameter | Description |
|---|---|
field |
The name of the field to multiply. |
number |
The number to multiply the field value by. Must be a numeric 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: Applying percentage increase
Apply a 10% increase to total sales (multiply by 1.1). This will change totalSales from 24863 to 27349.3 (24863 × 1.1).
db.stores.updateOne(
{ "_id": "438db151-04b8-4422-aa97-acf94bc69cfc" },
{
$mul: {
"sales.totalSales": 1.1
}
}
)
Example 2: Applying discount
Apply a 20% discount to sales figures (multiply by 0.8).
db.stores.updateOne(
{ "_id": "438db151-04b8-4422-aa97-acf94bc69cfc" },
{
$mul: {
"sales.totalSales": 0.8
}
}
)
Example 3: Multiple field operations
Apply different multipliers to multiple fields simultaneously.
db.stores.updateOne(
{ "_id": "438db151-04b8-4422-aa97-acf94bc69cfc" },
{
$mul: {
"staff.totalStaff.fullTime": 1.5,
"staff.totalStaff.partTime": 2,
"sales.totalSales": 1.25
}
}
)
This will:
- Increase
fullTimefrom 8 to 12 (8 × 1.5) - Increase
partTimefrom 5 to 10 (5 × 2) - Increase
totalSalesby 25% (multiply by 1.25)
Example 4: Creating new fields
If a field doesn't exist, $mul creates it and sets it to 0.
db.stores.updateOne(
{ "_id": "438db151-04b8-4422-aa97-acf94bc69cfc" },
{
$mul: {
"sales.bonusPoints": 100,
"staff.overtimeHours": 40
}
}
)
Both bonusPoints and overtimeHours will be created with value 0.
Example 5: Working with decimals
Apply precise decimal multipliers for financial calculations.
db.stores.updateOne(
{ "_id": "438db151-04b8-4422-aa97-acf94bc69cfc" },
{
$mul: {
"sales.totalSales": 0.915
}
}
)
Example 6: Updating array elements
Apply multipliers to specific elements within arrays using positional operators.
db.stores.updateOne(
{
"_id": "438db151-04b8-4422-aa97-acf94bc69cfc",
"sales.salesByCategory.categoryName": "Direct-Drive Turntables"
},
{
$mul: {
"sales.salesByCategory.$.totalSales": 1.15
}
}
)
Example 7: Negative values and zero
Handle negative multipliers and zero values.
db.stores.updateOne(
{ "_id": "438db151-04b8-4422-aa97-acf94bc69cfc" },
{
$mul: {
"sales.totalSales": -1,
"staff.totalStaff.fullTime": 0
}
}
)
This will:
- Make
totalSalesnegative (useful for reversals) - Set
fullTimeto 0
After applying a 1.5 multiplier to staff and 1.25 to sales, the document would be updated as follows:
{
"_id": "438db151-04b8-4422-aa97-acf94bc69cfc",
"name": "Fourth Coffee | Turntable Boutique - Tromptown",
"staff": {
"totalStaff": {
"fullTime": 12,
"partTime": 10
},
"overtimeHours": 0
},
"sales": {
"totalSales": 31078.75,
"bonusPoints": 0,
"salesByCategory": [
{
"categoryName": "Direct-Drive Turntables",
"totalSales": 28592.45
}
]
}
}
Related content
- Review options for migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore).
- Read more about feature compatibility with MongoDB.