AWS Security ChangesHomeSearch

AWS documentdb documentation change

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

File: documentdb/latest/developerguide/PRUNE.md

Summary

Entire documentation file for $$PRUNE system variable has been removed, including all content about using $$PRUNE with $redact stage in aggregation pipeline, examples, and code samples.

Security assessment

This change removes documentation about a MongoDB aggregation pipeline operator ($$PRUNE) used with $redact for data filtering. While $redact can be used for security purposes like data redaction, the removal of documentation itself doesn't indicate a security issue. There's no evidence of vulnerability disclosure, security patch, or security incident in the diff. This appears to be routine documentation cleanup or restructuring.

Diff

diff --git a/documentdb/latest/developerguide/PRUNE.md b/documentdb/latest/developerguide/PRUNE.md
index b787368f4..8b1378917 100644
--- a//documentdb/latest/developerguide/PRUNE.md
+++ b//documentdb/latest/developerguide/PRUNE.md
@@ -1 +0,0 @@
-[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#PRUNE "Open PDF")
@@ -3,137 +1,0 @@
-[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
-
-Example (MongoDB Shell)Code examples
-
-# $$PRUNE
-
-The `$$PRUNE` system variable is used with the `$redact` stage in the aggregation pipeline to exclude documents or embedded document levels from the results. When a condition evaluates to `$$PRUNE`, the current document or subdocument is removed from the output. It is typically used with `$$DESCEND` (to keep and traverse the document) or `$$KEEP` (to keep the document at all levels).
-
-**Parameters**
-
-None. The `$$PRUNE` system variable is used without any parameters and must be used with `$redact`.
-
-## Example (MongoDB Shell)
-
-The following example demonstrates how to use `$$PRUNE` with `$redact` to exclude users over 30 years old from the results.
-
-**Create sample documents**
-    
-    
-    db.users.insert([
-      { _id:1, name: "Carlos Salazar", age: 35, address: { street: "123 Main St", city: "Anytown", state: "CA" } },
-      { _id:2, name: "Saanvi Sarkar", age: 28, address: { street: "456 Oak Rd", city: "Someplace", state: "NY" } },
-      { _id:3, name: "Li Juan", age: 42, address: { street: "789 Pine Ave", city: "Springfield", state: "TX" } }
-    ])
-
-**Query example**
-    
-    
-    db.users.aggregate([
-      {
-        $redact: {
-          $cond: {
-            if: { $gt: ["$age", 30] },
-            then: "$$PRUNE",
-            else: "$$DESCEND"
-          }
-        }
-      }
-    ])
-
-**Output**
-    
-    
-    [
-      {
-        "_id": 2,
-        "name": "Saanvi Sarkar",
-        "age": 28,
-        "address": {
-          "street": "456 Oak Rd",
-          "city": "Someplace",
-          "state": "NY"
-        }
-      }
-    ]
-
-## Code examples
-
-To view a code example for using the `$$PRUNE` command, choose the tab for the language that you want to use:
-
-Node.js
-    
-    
-    
-    const { MongoClient } = require('mongodb');
-    
-    const client = new MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false');
-    
-    async function main() {
-      await client.connect();
-      const db = client.db('test');
-      const users = db.collection('users');
-    
-      const result = await users.aggregate([
-        {
-          $redact: {
-            $cond: {
-              if: { $gt: ["$age", 30] },
-              then: "$$PRUNE",
-              else: "$$DESCEND"
-            }
-          }
-        }
-      ]).toArray();
-    
-      console.log(result);
-      await client.close();
-    }
-    
-    main();
-
-Python
-    
-    
-    
-    from pymongo import MongoClient
-    
-    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([
-        {
-            '$redact': {
-                '$cond': {
-                    'if': { '$gt': ['$age', 30] },
-                    'then': '$$PRUNE',
-                    'else': '$$DESCEND'
-                }
-            }
-        }
-    ]))
-    
-    print(result)
-    client.close()
-
-![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)
-
-$$KEEP
-
-$ROOT
-
-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.