AWS documentdb documentation change
Summary
Entire documentation page for the $concatArrays aggregation operator has been removed, including all examples and code samples
Security assessment
This change removes documentation for a specific aggregation operator ($concatArrays) but does not provide any evidence of security vulnerabilities, weaknesses, or incidents. The removal appears to be part of documentation restructuring or deprecation of content, not security-related. No security context is mentioned in the removed content.
Diff
diff --git a/documentdb/latest/developerguide/concatArrays.md b/documentdb/latest/developerguide/concatArrays.md index 099abd71d..8b1378917 100644 --- a//documentdb/latest/developerguide/concatArrays.md +++ b//documentdb/latest/developerguide/concatArrays.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#concatArrays "Open PDF") @@ -3,156 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $concatArrays - -The `$concatArrays` aggregation operator in Amazon DocumentDB is used to concatenate two or more arrays into a single array. This can be useful when you need to combine multiple arrays of data into a single array for further processing or analysis. - -**Parameters** - - * `array1`: The first array to be concatenated. - - * `array2`: The second array to be concatenated. - - * `[array3, ...]`: (optional) Additional arrays to be concatenated. - - - - -## Example (MongoDB Shell) - -The following example demonstrates how to use the `$concatArrays` operator to combine two arrays into a single array. - -**Create sample documents** - - - db.collection.insertMany([ - { - "_id": 1, - "name": "John Doe", - "hobbies": ["reading", "swimming"], - "skills": ["programming", "design"] - }, - { - "_id": 2, - "name": "Jane Smith", - "hobbies": ["hiking", "cooking"], - "skills": ["marketing", "analysis"] - } - ]); - -**Query example** - - - db.collection.aggregate([ - { - $project: { - _id: 0, - name: 1, - all_activities: { $concatArrays: ["$hobbies", "$skills"] } - } - } - ]); - -**Output** - - - [ - { - "name": "John Doe", - "all_activities": [ - "reading", - "swimming", - "programming", - "design" - ] - }, - { - "name": "Jane Smith", - "all_activities": [ - "hiking", - "cooking", - "marketing", - "analysis" - ] - } - ] - -## Code examples - -To view a code example for using the `$concatArrays` command, choose the tab for the language that you want to use: - -Node.js - - - - const { MongoClient } = require('mongodb'); - - async function example() { - 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('mydb'); - const collection = db.collection('mycollection'); - - const result = await collection.aggregate([ - { - $project: { - _id: 0, - name: 1, - all_activities: { $concatArrays: ['$hobbies', '$skills'] } - } - } - ]).toArray(); - - console.log(result); - client.close(); - } - - example(); - -Python - - - - from pymongo import MongoClient - - def example(): - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - db = client['mydb'] - collection = db['mycollection'] - - result = list(collection.aggregate([ - { - '$project': { - '_id': 0, - 'name': 1, - 'all_activities': { '$concatArrays': ['$hobbies', '$skills'] } - } - } - ])) - - print(result) - client.close() - - example() - - **Javascript is disabled or is unavailable in your browser.** - -To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. - -[Document Conventions](/general/latest/gr/docconventions.html) - -$concat - -$cond - -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.