AWS documentdb documentation change
Summary
Entire documentation page for the $group aggregation stage has been removed, including all examples, parameters, and code samples
Security assessment
This change removes general documentation about the $group aggregation operator in Amazon DocumentDB. 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 about database aggregation functionality without any security-specific context. The change could impact users' ability to understand and use the $group operator, but this is a documentation removal rather than a security fix.
Diff
diff --git a/documentdb/latest/developerguide/group.md b/documentdb/latest/developerguide/group.md index 31127ba71..8b1378917 100644 --- a//documentdb/latest/developerguide/group.md +++ b//documentdb/latest/developerguide/group.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#group "Open PDF") @@ -3,138 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $group - -The `$group` aggregation stage in Amazon DocumentDB allows you to group documents by a specified expression and perform various accumulative operations on the grouped data. This can be useful for tasks such as calculating totals, averages, or other statistics based on the grouped data. - -**Parameters** - - * `_id`: Specifies the expression by which the input documents should be grouped. This can be a field name, a computed expression, or a combination of both. - - * `accumulator expressions`: (optional) One or more accumulator expressions that should be applied to the grouped data. These expressions use the accumulator operators mentioned above. - - - - -## Example (MongoDB Shell) - -The following example groups customers by their city and calculates the total order amount for each city. - -**Create sample documents** - - - db.customers.insertMany([ - { name: "John Doe", city: "New York", orders: [{ amount: 100 }, { amount: 200 }] }, - { name: "Jane Smith", city: "Los Angeles", orders: [{ amount: 150 }, { amount: 300 }] }, - { name: "Bob Johnson", city: "New York", orders: [{ amount: 75 }, { amount: 125 }] }, - { name: "Samantha Lee", city: "Chicago", orders: [{ amount: 50 }, { amount: 100 }] } - ]); - -**Query example** - - - db.customers.aggregate([ - { - $group: { - _id: "$city", - totalOrders: { $sum: { $sum: "$orders.amount" } } - } - } - ]); - -**Output** - - - [ - { _id: 'Chicago', totalOrders: 150 }, - { _id: 'Los Angeles', totalOrders: 450 }, - { _id: 'New York', totalOrders: 500 } - ] - -## Code examples - -To view a code example for using the `$group` command, choose the tab for the language that you want to use: - -Node.js - - - - const { MongoClient } = require('mongodb'); - - async function groupByCity() { - 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 result = await db.collection('customers').aggregate([ - { $unwind: '$orders' }, - { - $group: { - _id: '$city', - totalOrders: { $sum: '$orders.amount' } - } - } - ]).toArray(); - - console.log(result); - } catch (err) { - console.error('Error during aggregation:', err); - } finally { - await client.close(); - } - } - - groupByCity(); - -Python - - - - from pymongo import MongoClient - - def group_by_city(): - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - - try: - db = client.test - result = list(db.customers.aggregate([ - {'$unwind': '$orders'}, - { - '$group': { - '_id': '$city', - 'totalOrders': {'$sum': '$orders.amount'} - } - } - ])) - print(result) - except Exception as e: - print(f"Error during aggregation: {e}") - finally: - client.close() - - group_by_city() - - **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) - -$geoNear - -$gt - -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.