$max - Amazon DocumentDB

$max

The $max aggregation stage is used to return the maximum value of a specified field across all documents in a pipeline stage. This operator is useful for finding the highest value in a set of documents.

Parameters

  • expression: The expression to use to calculate the maximum value.

Example (MongoDB Shell)

The following example demonstrates how to use the $max operator to find the maximum score in a collection of student documents. The $group stage groups all documents together, and the $max operator is used to calculate the maximum value of the score field across all documents.

Create sample documents

db.students.insertMany([ { name: "John", score: 85 }, { name: "Jane", score: 92 }, { name: "Bob", score: 78 }, { name: "Alice", score: 90 } ])

Query example

db.students.aggregate([ { $group: { _id: null, maxScore: { $max: "$score" } } }, { $project: { _id: 0, maxScore: 1 } } ])

Output

[ { maxScore: 92 } ]

Code examples

To view a code example for using the $max command, choose the tab for the language that you want to use:

Node.js
const { MongoClient } = require('mongodb'); async function findMaxScore() { const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'); const db = client.db('test'); const students = db.collection('students'); const result = await students.aggregate([ { $group: { _id: null, maxScore: { $max: "$score" } } } ]).toArray(); console.log(result); await client.close(); } findMaxScore();
Python
from pymongo import MongoClient def find_max_score(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client['test'] students = db.students result = list(students.aggregate([ { "$group": { "_id": None, "maxScore": { "$max": "$score" } } } ])) print(result) client.close() find_max_score()