AWS Security ChangesHomeSearch

AWS documentdb documentation change

Service: documentdb · 2026-03-28 · Documentation low

File: documentdb/latest/developerguide/month.md

Summary

Entire documentation page for the $month operator in Amazon DocumentDB was removed, including all examples and code samples

Security assessment

This change removes documentation for a MongoDB aggregation operator ($month) and associated code examples. There is no evidence in the diff that this removal is related to a security vulnerability, weakness, or incident. The removed content appears to be standard documentation for a date extraction function with no security implications mentioned. This appears to be routine documentation maintenance or reorganization.

Diff

diff --git a/documentdb/latest/developerguide/month.md b/documentdb/latest/developerguide/month.md
index 8fb97f9eb..8b1378917 100644
--- a//documentdb/latest/developerguide/month.md
+++ b//documentdb/latest/developerguide/month.md
@@ -1 +0,0 @@
-[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#month "Open PDF")
@@ -3,154 +1,0 @@
-[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
-
-Example (MongoDB Shell)Code examples
-
-# $month
-
-The `$month` operator in Amazon DocumentDB returns the month of a date as a number between 1 and 12. This operator is useful for extracting the month component from a date field and performing date-based aggregations and analyses.
-
-**Parameters**
-
-  * `date_expression`: This is the expression or field that contains the date or timestamp from which you want to extract the month.
-
-
-
-
-## Example (MongoDB Shell)
-
-The following example demonstrates how to use the `$month` operator to extract the month from a date field and group the data by month.
-
-**Create sample documents**
-    
-    
-    db.sales.insert([
-      { product: "abc123", price: 10.99, date: new Date("2022-01-15") },
-      { product: "def456", price: 15.50, date: new Date("2022-02-28") },
-      { product: "ghi789", price: 8.25, date: new Date("2022-03-10") },
-      { product: "jkl012", price: 12.75, date: new Date("2022-04-05") },
-      { product: "mno345", price: 18.99, date: new Date("2022-05-20") }
-    ]);
-
-**Query example**
-    
-    
-    db.sales.aggregate([
-      { $group: { 
-          _id: { month: { $month: "$date" } },
-          totalSales: { $sum: "$price" }
-        }},
-      { $sort: { "_id.month": 1 } }
-    ]);
-
-**Output**
-    
-    
-    [
-      { _id: { month: 1 }, totalSales: 10.99 },
-      { _id: { month: 2 }, totalSales: 15.5 },
-      { _id: { month: 3 }, totalSales: 8.25 },
-      { _id: { month: 4 }, totalSales: 12.75 },
-      { _id: { month: 5 }, totalSales: 18.99 }
-    ]
-
-## Code examples
-
-To view a code example for using the `$month` command, choose the tab for the language that you want to use:
-
-Node.js
-    
-    
-    
-    const { MongoClient } = require('mongodb');
-    
-    async function groupSalesByMonth() {
-      const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false');
-    
-      try {
-        await client.connect();
-        const db = client.db('test');
-        const collection = db.collection('sales');
-    
-        const pipeline = [
-          {
-            $group: {
-              _id: { month: { $month: "$date" } },
-              totalSales: { $sum: "$price" }
-            }
-          },
-          {
-            $sort: { "_id.month": 1 }
-          }
-        ];
-    
-        const results = await collection.aggregate(pipeline).toArray();
-    
-        console.dir(results, { depth: null });
-    
-      } finally {
-        await client.close();
-      }
-    }
-    
-    groupSalesByMonth().catch(console.error);
-    
-
-Python
-    
-    
-    
-    from pymongo import MongoClient
-    
-    def group_sales_by_month():
-      
-        client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
-    
-        try:
-            db = client.test
-            collection = db.sales
-    
-            pipeline = [
-                {
-                    "$group": {
-                        "_id": { "$month": "$date" }, 
-                        "totalSales": { "$sum": "$price" }  
-                    }
-                },
-                {
-                    "$sort": { "_id": 1 } 
-                }
-            ]
-    
-            results = collection.aggregate(pipeline)
-    
-            for doc in results:
-                print(doc)
-    
-        except Exception as e:
-            print(f"An error occurred: {e}")
-    
-        finally:
-            client.close()
-    
-    group_sales_by_month()
-
-![Warning](https://d1ge0kk1l5kms0.cloudfront.net/images/G/01/webservices/console/warning.png) **Javascript is disabled or is unavailable in your browser.**
-
-To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.
-
-[Document Conventions](/general/latest/gr/docconventions.html)
-
-$mod
-
-$multiply
-
-Did this page help you? - Yes
-
-Thanks for letting us know we're doing a good job!
-
-If you've got a moment, please tell us what we did right so we can do more of it.
-
-Did this page help you? - No
-
-Thanks for letting us know this page needs work. We're sorry we let you down.
-
-If you've got a moment, please tell us how we can make the documentation better.