AWS documentdb documentation change

Service: documentdb · 2026-03-31 · Documentation low

File: documentdb/latest/developerguide/max.md

Summary

Added new documentation page for the $max aggregation stage in Amazon DocumentDB, including description, parameters, MongoDB shell example, and code examples in Node.js and Python

Security assessment

This is standard documentation for a database aggregation operator ($max) that finds the maximum value of a field across documents. The change includes code examples with TLS connection parameters (tls=true, tlsCAFile=global-bundle.pem) which are standard security practices for DocumentDB connections, but this is not new security documentation. There is no evidence of addressing a specific security vulnerability or incident.

Diff

diff --git a/documentdb/latest/developerguide/max.md b/documentdb/latest/developerguide/max.md
index 8b1378917..5fb15f1b4 100644
--- a//documentdb/latest/developerguide/max.md
+++ b//documentdb/latest/developerguide/max.md
@@ -0,0 +1 @@
+[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#max "Open PDF")
@@ -1,0 +3,108 @@
+[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
+
+Example (MongoDB Shell)Code examples
+
+# $max
+
+The `$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": "$score" } } }
+        ]))
+    
+        print(result)
+        client.close()
+    
+    find_max_score()
+
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+
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+
+[Document Conventions](/general/latest/gr/docconventions.html)
+
+$match
+
+$meta
+
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