Services or capabilities described in AWS documentation might vary by Region. To see the differences applicable to the AWS European Sovereign Cloud Region, see the AWS European Sovereign Cloud User Guide.$top
New from version 8.0.1.
Use the $top accumulator in the $group stage to return the highest-ranked document per group according to a specified sort order.
Parameters
Example (MongoDB Shell)
The following example demonstrates how to use the $top accumulator to find the top sale (highest quantity) per item in a sales collection.
Create sample documents
db.sales.insertMany([
{ item: "abc", quantity: 10, price: 5 },
{ item: "abc", quantity: 5, price: 8 },
{ item: "xyz", quantity: 15, price: 3 },
{ item: "xyz", quantity: 7, price: 6 }
])
Query example
db.sales.aggregate([
{ $group: { _id: "$item", topSale: { $top: { sortBy: { quantity: -1 }, output: { quantity: "$quantity", price: "$price" } } } } }
])
Output
[
{ "_id": "xyz", "topSale": { "quantity": 15, "price": 3 } },
{ "_id": "abc", "topSale": { "quantity": 10, "price": 5 } }
]
Code examples
To view a code example for using the $top operator, choose the tab for the language that you want to use:
- Node.js
-
const { MongoClient } = require('mongodb');
async function example() {
const uri = 'mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false';
const client = new MongoClient(uri);
try {
await client.connect();
const db = client.db('test');
const collection = db.collection('sales');
const result = await collection.aggregate([
{ $group: { _id: "$item", topSale: { $top: { sortBy: { quantity: -1 }, output: { quantity: "$quantity", price: "$price" } } } } }
]).toArray();
console.log(result);
} catch (error) {
console.error('Error:', error);
} finally {
await client.close();
}
}
example();
- Python
-
from pymongo import MongoClient
from pprint import pprint
def example():
client = None
try:
client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
db = client['test']
collection = db['sales']
result = list(collection.aggregate([
{ '$group': { '_id': '$item', 'topSale': { '$top': { 'sortBy': { 'quantity': -1 }, 'output': { 'quantity': '$quantity', 'price': '$price' } } } } }
]))
pprint(result)
except Exception as e:
print(f"An error occurred: {e}")
finally:
if client:
client.close()
example()