AWS documentdb documentation change

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

File: documentdb/latest/developerguide/arrayToObject.md

Summary

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

Security assessment

This change adds documentation for a new operator ($arrayToObject) in Amazon DocumentDB. The content describes the operator's functionality, provides usage examples, and includes code samples. There is no mention of security vulnerabilities, patches, or security-related features. The code examples include standard TLS connection parameters (tls=true, tlsCAFile) which are routine security best practices for database connections, but this is not the primary focus of the documentation change.

Diff

diff --git a/documentdb/latest/developerguide/arrayToObject.md b/documentdb/latest/developerguide/arrayToObject.md
index 8b1378917..5e4e45483 100644
--- a//documentdb/latest/developerguide/arrayToObject.md
+++ b//documentdb/latest/developerguide/arrayToObject.md
@@ -0,0 +1 @@
+[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#arrayToObject "Open PDF")
@@ -1,0 +3,115 @@
+[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
+
+Example (MongoDB Shell)Code examples
+
+# $arrayToObject
+
+The `$arrayToObject` operator in Amazon DocumentDB is the reverse of the `$objectToArray` operator. It takes an array of key-value pair documents and converts it into a single document. This is particularly useful when you need to convert an array of key-value pairs back into an object or document structure.
+
+**Parameters**
+
+  * `array expression`: An expression that resolves to an array. The array elements must be documents with two fields: `k` (the key) and `v` (the value).
+
+
+
+
+## Example (MongoDB Shell)
+
+The example below demonstrates how to use `$arrayToObject` to convert an array of key-value pairs back into a document.
+
+**Create sample documents**
+    
+    
+    db.videos.insertMany([
+      { "_id": 1, "name": "Live Soft", "inventory": { "Des Moines": 1000, "Ames": 500 } },
+      { "_id": 2, "name": "Top Pilot", "inventory": { "Mason City": 250, "Des Moines": 1000 } },
+      { "_id": 3, "name": "Romancing the Rock", "inventory": { "Mason City": 250, "Ames": 500 } },
+      { "_id": 4, "name": "Bravemind", "inventory": { "Mason City": 250, "Des Moines": 1000, "Ames": 500 } }
+    ]);
+
+**Query example**
+    
+    
+    db.videos.aggregate([
+      { $project: { name: 1, videos: { $objectToArray: "$inventory" } } },
+      { $project: { name: 1, inventory: { $arrayToObject: "$videos" } } }
+    ]);
+
+**Output**
+    
+    
+    { "_id" : 1, "name" : "Live Soft", "inventory" : { "Des Moines" : 1000, "Ames" : 500 } }
+    { "_id" : 2, "name" : "Top Pilot", "inventory" : { "Mason City" : 250, "Des Moines" : 1000 } }
+    { "_id" : 3, "name" : "Romancing the Rock", "inventory" : { "Mason City" : 250, "Ames" : 500 } }
+    { "_id" : 4, "name" : "Bravemind", "inventory" : { "Mason City" : 250, "Des Moines" : 1000, "Ames" : 500 } }
+
+In this example, the `$objectToArray` operator is used to convert the `inventory` object into an array of key-value pairs. The `$arrayToObject` operator is then used to convert the array back into a document, restoring the original object structure.
+
+## Code examples
+
+To view a code example for using the `$arrayToObject` 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('test');
+      const collection = db.collection('videos');
+    
+      const result = await collection.aggregate([
+        { $project: { name: 1, videos: { $objectToArray: '$inventory' } } },
+        { $project: { name: 1, inventory: { $arrayToObject: '$videos' } } }
+      ]).toArray();
+    
+      console.log(result);
+      await 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['test']
+        collection = db['videos']
+    
+        result = list(collection.aggregate([
+            { '$project': { 'name': 1, 'videos': { '$objectToArray': '$inventory' } } },
+            { '$project': { 'name': 1, 'inventory': { '$arrayToObject': '$videos' } } }
+        ]))
+    
+        print(result)
+        client.close()
+    
+    example()
+
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+
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+
+[Document Conventions](/general/latest/gr/docconventions.html)
+
+$arrayElemAt
+
+$avg
+
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