AWS documentdb documentation change

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

File: documentdb/latest/developerguide/ltrim.md

Summary

Added documentation for the $ltrim operator in Amazon DocumentDB, including description, parameters, examples in MongoDB Shell, and code examples in Node.js and Python

Security assessment

This change adds standard documentation for a string manipulation operator ($ltrim) in DocumentDB. The content focuses on functionality usage examples and syntax. There is no mention of security vulnerabilities, patches, or security-related features. The code examples include standard connection strings with TLS parameters, but these are routine security best practices already documented elsewhere, not new security documentation.

Diff

diff --git a/documentdb/latest/developerguide/ltrim.md b/documentdb/latest/developerguide/ltrim.md
index 8b1378917..6c4f9328a 100644
--- a//documentdb/latest/developerguide/ltrim.md
+++ b//documentdb/latest/developerguide/ltrim.md
@@ -0,0 +1 @@
+[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#ltrim "Open PDF")
@@ -1,0 +3,165 @@
+[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
+
+Example (MongoDB Shell)Code examples
+
+# $ltrim
+
+New from version 4.0.
+
+Not supported by Elastic cluster.
+
+The `$ltrim` operator in Amazon DocumentDB is used to remove leading characters from a string. By default, it removes leading whitespace characters, but you can also specify a set of characters to remove by passing the chars argument.
+
+**Parameters**
+
+  * `input`: The input string from which to remove leading whitespace characters.
+
+  * `chars`: (optional) To remove specific characters.
+
+
+
+
+## Example (MongoDB Shell)
+
+The following example demonstrates the usage of `$ltrim` to remove specified characters (" *") from the beginning of a string.
+
+**Create sample documents**
+    
+    
+    db.collection.insertMany([
+      { name: " *John Doe", age: 30 },
+      { name: "Jane Doe*", age: 25 },
+      { name: "  Bob Smith  ", age: 35 }
+    ]);
+
+**Query example**
+    
+    
+    db.collection.aggregate([
+      {
+        $project: {
+          _id: 0,
+          name: {
+            $ltrim: { input: "$name", chars: " *" }  
+          },
+          age: 1
+        }
+      }
+    ]);
+
+**Output**
+    
+    
+    [
+      { "name": "John Doe", "age": 30 },
+      { "name": "Jane Doe ", "age": 25 },
+      { "name": "Bob Smith  ", "age": 35 }
+    ]
+
+## Code examples
+
+To view a code example for using the `$ltrim` 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');
+    
+      try {
+        await client.connect();
+    
+        const db = client.db('test');
+        const collection = db.collection('collection');
+    
+        const pipeline = [
+          {
+            $project: {
+              _id: 0,
+              name: {
+                $ltrim: {
+                  input: '$name',
+                  chars: ' *'
+                }
+              },
+              age: 1
+            }
+          }
+        ];
+    
+        const result = await collection.aggregate(pipeline).toArray();
+    
+        console.dir(result, { depth: null });
+    
+      } finally {
+        await client.close();
+      }
+    }
+    
+    example().catch(console.error);
+
+Python
+    
+    
+    
+    from pymongo import MongoClient
+    
+    def example():
+        try:
+            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.collection
+    
+            pipeline = [
+                {
+                    "$project": {
+                        "_id": 0,
+                        "name": {
+                            "$ltrim": {
+                                "input": "$name",
+                                "chars": " *"
+                            }
+                        },
+                        "age": 1
+                    }
+                }
+            ]
+    
+            results = collection.aggregate(pipeline)
+    
+            for doc in results:
+                print(doc)
+    
+        except Exception as e:
+            print(f"An error occurred: {e}")
+        
+        finally:
+            client.close()
+    
+    example()
+
+![Warning](https://d1ge0kk1l5kms0.cloudfront.net/images/G/01/webservices/console/warning.png) **Javascript is disabled or is unavailable in your browser.**
+
+To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.
+
+[Document Conventions](/general/latest/gr/docconventions.html)
+
+$lookup
+
+$map
+
+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.