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AWS documentdb documentation change

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

File: documentdb/latest/developerguide/setUnion.md

Summary

Entire documentation page for the $setUnion aggregation operator has been removed, including all examples and usage instructions

Security assessment

This change removes documentation for a specific MongoDB aggregation operator ($setUnion) but provides no evidence of security vulnerability, weakness, or incident. The removal appears to be a documentation restructuring or deprecation of content, not a security fix. No security context is mentioned in the removed content or the change itself.

Diff

diff --git a/documentdb/latest/developerguide/setUnion.md b/documentdb/latest/developerguide/setUnion.md
index e27f1e48e..8b1378917 100644
--- a//documentdb/latest/developerguide/setUnion.md
+++ b//documentdb/latest/developerguide/setUnion.md
@@ -1 +0,0 @@
-[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#setUnion "Open PDF")
@@ -3,133 +1,0 @@
-[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
-
-Example (MongoDB Shell)Code examples
-
-# $setUnion
-
-The `$setUnion` aggregation operator in Amazon DocumentDB is used to combine two or more sets of values and return a set that contains all the unique elements from the input sets. This operator is useful when you need to perform set-based operations on array fields in your documents.
-
-**Parameters**
-
-  * `expression1`: An expression that resolves to an array.
-
-  * `expression2`: An expression that resolves to an array.
-
-  * `expressionN`: Additional expressions that resolve to arrays (optional).
-
-
-
-
-## Example (MongoDB Shell)
-
-The following example demonstrates how to use the `$setUnion` operator to combine the unique elements from two array fields in a collection.
-
-**Create sample documents**
-    
-    
-    db.users.insertMany([
-      { _id: 1, name: "Alice", hobbies: ["reading", "swimming"], skills: ["coding", "writing"] },
-      { _id: 2, name: "Bob", hobbies: ["cooking", "gardening"], skills: ["coding", "photography"] },
-      { _id: 3, name: "Charlie", hobbies: ["reading", "painting"], skills: ["gardening", "music"] }
-    ]);
-
-**Query example**
-    
-    
-    db.users.aggregate([
-      {
-        $project: {
-          name: 1,
-          allInterests: { $setUnion: ["$hobbies", "$skills"] }
-        }
-      }
-    ]);
-
-**Output**
-    
-    
-    [
-      { "_id" : 1, "name" : "Alice", "allInterests" : [ "coding", "reading", "swimming", "writing" ] },
-      { "_id" : 2, "name" : "Bob", "allInterests" : [ "coding", "cooking", "gardening", "photography" ] },
-      { "_id" : 3, "name" : "Charlie", "allInterests" : [ "gardening", "music", "painting", "reading" ] }
-    ]
-
-In this example, the `$setUnion` operator is used to combine the unique elements from the `hobbies` and `skills` array fields for each user document. The resulting `allInterests` field contains the union of all the unique hobbies and skills for each user.
-
-## Code examples
-
-To view a code example for using the `$setUnion` 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 users = db.collection('users');
-    
-      const result = await users.aggregate([
-        {
-          $project: {
-            _id: 1,
-            name: 1,
-            allInterests: { $setUnion: ["$hobbies", "$skills"] }
-          }
-        }
-      ]).toArray();
-    
-      console.log(result);
-      await client.close();
-    }
-    
-    example();
-
-Python
-    
-    
-    
-    from pymongo import MongoClient
-    
-    def example():
-        client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
-        db = client['test']
-        users = db['users']
-    
-        result = list(users.aggregate([
-            {
-                '$project': {
-                    '_id': 1,
-                    'name': 1,
-                    'allInterests': { '$setUnion': ["$hobbies", "$skills"] }
-                }
-            }
-        ]))
-    
-        print(result)
-        client.close()
-    
-    example()
-
-![Warning](https://d1ge0kk1l5kms0.cloudfront.net/images/G/01/webservices/console/warning.png) **Javascript is disabled or is unavailable in your browser.**
-
-To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.
-
-[Document Conventions](/general/latest/gr/docconventions.html)
-
-$setIsSubset
-
-$skip
-
-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.