Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
APPLIES TO:
MongoDB vCore
The findAndModify
command is used to atomically modify and return a single document. This command is useful for operations that require reading and updating a document in a single step, ensuring data consistency. Common use cases include implementing counters, queues, and other atomic operations.
Syntax
The syntax for the findAndModify
command is as follows:
db.collection.findAndModify({
query: <document>,
sort: <document>,
remove: <boolean>,
update: <document>,
new: <boolean>,
fields: <document>,
upsert: <boolean>
})
Parameters
- query: The selection criteria for the document to modify.
- sort: Determines which document to modify if the query selects multiple documents.
- remove: If
true
, removes the selected document. - update: The modifications to apply.
- new: If
true
, returns the modified document rather than the original. - fields: Limits the fields to return for the matching document.
- upsert: If
true
, creates a new document if no document matches the query.
Examples
Example 1: Update total sales
Suppose we want to update the total sales for the store with _id
"e5767a9f-cd95-439c-9ec4-7ddc13d22926" to 550000.00
and return the updated document.
db.stores.findAndModify({
query: { "_id": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
update: { $set: { "sales.totalSales": 550000.00 } },
new: true
})
Sample output
[mongos] StoreData> db.stores.findAndModify({
... query: { "_id": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
... update: { $set: { "sales.totalSales": 550000.00 } },
... new: true
... })
{
_id: 'e5767a9f-cd95-439c-9ec4-7ddc13d22926',
name: "Marina's Eyewear Bargains",
location: { lat: -87.4376, lon: 42.2928 },
staff: { totalStaff: { fullTime: 20, partTime: 6 } },
sales: {
totalSales: 550000,
salesByCategory: [
{ categoryName: 'Round Sunglasses', totalSales: 39621 },
{ categoryName: 'Reading Glasses', totalSales: 1146 },
{ categoryName: 'Aviators', totalSales: 9385 }
]
},
promotionEvents: [
{
eventName: 'Incredible Discount Days',
promotionalDates: {
startDate: { Year: 2024, Month: 2, Day: 11 },
endDate: { Year: 2024, Month: 2, Day: 18 }
},
discounts: [
{ categoryName: 'Square Sunglasses', discountPercentage: 16 },
{ categoryName: 'Safety Glasses', discountPercentage: 17 },
{ categoryName: 'Wayfarers', discountPercentage: 7 },
{ categoryName: 'Eyewear Accessories', discountPercentage: 12 }
]
}
],
tag: [
'#ShopLocal',
'#FashionStore',
'#SeasonalSale',
'#FreeShipping',
'#MembershipDeals'
]
}
Example 2: Add a new promotional event
Let's add a new promotional event called "Electronics Super Saver" to the store with _id_
"e5767a9f-cd95-439c-9ec4-7ddc13d22926" and return the updated document.
db.stores.findAndModify({
query: { "_id": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
update: { $push: { "promotionEvents": {
"eventName": "Electronics Super Saver",
"promotionalDates": {
"startDate": "2025-09-31",
"endDate": "2025-09-31"
},
"discounts": [
{
"categoryName": "Laptops",
"discountPercentage": 45
},
{
"categoryName": "Smartphones",
"discountPercentage": 25
}
]
}}},
new: true
})
Sample output
[mongos] StoreData> db.stores.findAndModify({
... query: { "_id": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
... update: { $push: { "promotionEvents": {
... "eventName": "Electronics Super Saver",
... "promotionalDates": {
... "startDate": "2025-09-31",
... "endDate": "2025-09-31"
... },
... "discounts": [
... {
... "categoryName": "Laptops",
... "discountPercentage": 45
... },
... {
... "categoryName": "Smartphones",
... "discountPercentage": 25
... }
... ]
... }}},
... new: true
... })
{
_id: 'e5767a9f-cd95-439c-9ec4-7ddc13d22926',
name: "Marina's Eyewear Bargains",
location: { lat: -87.4376, lon: 42.2928 },
staff: { totalStaff: { fullTime: 20, partTime: 6 } },
sales: {
totalSales: 550000,
salesByCategory: [
{ categoryName: 'Round Sunglasses', totalSales: 39621 },
{ categoryName: 'Reading Glasses', totalSales: 1146 },
{ categoryName: 'Aviators', totalSales: 9385 }
]
},
promotionEvents: [
{
eventName: 'Electronics Super Saver',
promotionalDates: { startDate: '2025-09-31', endDate: '2025-09-31' },
discounts: [
{ categoryName: 'Laptops', discountPercentage: 45 },
{ categoryName: 'Smartphones', discountPercentage: 25 }
]
}
],
tag: [
'#ShopLocal',
'#FashionStore',
'#SeasonalSale',
'#FreeShipping',
'#MembershipDeals'
]
}
Example 3: Remove a promotional event
Suppose we want to remove the "Electronics Super Saver" promotional event from the store with _id
"e5767a9f-cd95-439c-9ec4-7ddc13d22926" and return the original document.
db.stores.findAndModify({
query: { "_id": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
update: { $pull: { "promotionEvents": { "eventName": "Electronics Super Saver" } } },
new: true
})
Sample output
[mongos] StoreData> db.stores.findAndModify({
... query: { "_id_": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
... update: { $pull: { "promotionEvents": { "eventName": "Electronics Super Saver" } } },
... new: true
... })
null
[mongos] StoreData> db.stores.findAndModify({
... query: { "_id": "e5767a9f-cd95-439c-9ec4-7ddc13d22926" },
... update: { $pull: { "promotionEvents": { "eventName": "Electronics Super Saver" } } },
... new: true
... })
{
_id: 'e5767a9f-cd95-439c-9ec4-7ddc13d22926',
name: "Marina's Eyewear Bargains",
location: { lat: -87.4376, lon: 42.2928 },
staff: { totalStaff: { fullTime: 20, partTime: 6 } },
sales: {
totalSales: 550000,
salesByCategory: [
{ categoryName: 'Round Sunglasses', totalSales: 39621 },
{ categoryName: 'Reading Glasses', totalSales: 1146 },
{ categoryName: 'Aviators', totalSales: 9385 }
]
},
promotionEvents: [
{
eventName: 'Incredible Discount Days',
promotionalDates: {
startDate: { Year: 2024, Month: 2, Day: 11 },
endDate: { Year: 2024, Month: 2, Day: 18 }
},
discounts: [
{ categoryName: 'Square Sunglasses', discountPercentage: 16 },
{ categoryName: 'Safety Glasses', discountPercentage: 17 },
{ categoryName: 'Wayfarers', discountPercentage: 7 },
{ categoryName: 'Eyewear Accessories', discountPercentage: 12 }
]
}
],
tag: [
'#ShopLocal',
'#FashionStore',
'#SeasonalSale',
'#FreeShipping',
'#MembershipDeals'
]
}
Related content
- Review options for Migrating from MongoDB to Azure Cosmos DB for MongoDB (vCore)
- Read more about Feature compatibility with MongoDB