AWS documentdb documentation change

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

File: documentdb/latest/developerguide/and-aggregation.md

Summary

Added comprehensive documentation for the $and aggregation operator in Amazon DocumentDB, including syntax, parameters, MongoDB shell example, and code examples in Node.js and Python with connection strings

Security assessment

This change adds standard documentation for a database aggregation operator ($and) with example code. The connection strings in the examples include TLS parameters (tls=true, tlsCAFile=global-bundle.pem) which are security best practices for encrypted connections, but this is standard configuration documentation rather than addressing a specific security issue or vulnerability. The change appears to be routine documentation enhancement for a database feature.

Diff

diff --git a/documentdb/latest/developerguide/and-aggregation.md b/documentdb/latest/developerguide/and-aggregation.md
index 8b1378917..a5cef9859 100644
--- a//documentdb/latest/developerguide/and-aggregation.md
+++ b//documentdb/latest/developerguide/and-aggregation.md
@@ -0,0 +1 @@
+[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#and-aggregation "Open PDF")
@@ -1,0 +3,146 @@
+[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
+
+Example (MongoDB Shell)Code examples
+
+# $and
+
+The `$and` aggregation operator evaluates multiple expressions and returns `true` only if all expressions evaluate to `true`. If any expression is `false`, it returns `false`.
+
+**Parameters**
+
+  * `expressions`: An array of expressions to evaluate.
+
+
+
+
+## Example (MongoDB Shell)
+
+The following example demonstrates using the `$and` operator to check if products meet multiple criteria.
+
+**Create sample documents**
+    
+    
+    db.products.insertMany([
+      { _id: 1, name: "Laptop", price: 1200, inStock: true },
+      { _id: 2, name: "Mouse", price: 25, inStock: false },
+      { _id: 3, name: "Keyboard", price: 75, inStock: true }
+    ]);
+
+**Query example**
+    
+    
+    db.products.aggregate([
+      {
+        $project: {
+          name: 1,
+          price: 1,
+          inStock: 1,
+          affordable: {
+            $and: [
+              { $lt: ["$price", 100] },
+              { $eq: ["$inStock", true] }
+            ]
+          }
+        }
+      }
+    ]);
+
+**Output**
+    
+    
+    [
+      { _id: 1, name: 'Laptop', price: 1200, inStock: true, affordable: false },
+      { _id: 2, name: 'Mouse', price: 25, inStock: false, affordable: false },
+      { _id: 3, name: 'Keyboard', price: 75, inStock: true, affordable: true }
+    ]
+
+## Code examples
+
+To view a code example for using the `$and` aggregation operator, 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('products');
+    
+      const result = await collection.aggregate([
+        {
+          $project: {
+            name: 1,
+            price: 1,
+            inStock: 1,
+            affordable: {
+              $and: [
+                { $lt: ["$price", 100] },
+                { $eq: ["$inStock", true] }
+              ]
+            }
+          }
+        }
+      ]).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['products']
+    
+        result = list(collection.aggregate([
+            {
+                '$project': {
+                    'name': 1,
+                    'price': 1,
+                    'inStock': 1,
+                    'affordable': {
+                        '$and': [
+                            { '$lt': ['$price', 100] },
+                            { '$eq': ['$inStock', True] }
+                        ]
+                    }
+                }
+            }
+        ]))
+    
+        print(result)
+        client.close()
+    
+    example()
+
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+
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+
+[Document Conventions](/general/latest/gr/docconventions.html)
+
+$allElementsTrue
+
+$anyElementTrue
+
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