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$top - Amazon DocumentDB

$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

  • sortBy: A document specifying the sort order. Use 1 for ascending or -1 for descending.

  • output: An expression that specifies the fields to return from the top document.

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()