AWS documentdb documentation change

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

File: documentdb/latest/developerguide/floor.md

Summary

Added documentation for the $floor operator in Amazon DocumentDB, including syntax, parameters, MongoDB shell example, and code examples in Node.js and Python

Security assessment

This change adds routine documentation for a mathematical operator ($floor) in Amazon DocumentDB. The content includes standard usage examples and connection strings with TLS parameters, but there is no evidence of addressing a security vulnerability or weakness. The TLS parameters in code examples are standard security practices for database connections, not new security documentation.

Diff

diff --git a/documentdb/latest/developerguide/floor.md b/documentdb/latest/developerguide/floor.md
index 8b1378917..cbe4e14da 100644
--- a//documentdb/latest/developerguide/floor.md
+++ b//documentdb/latest/developerguide/floor.md
@@ -0,0 +1 @@
+[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#floor "Open PDF")
@@ -1,0 +3,124 @@
+[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
+
+Example (MongoDB Shell)Code examples
+
+# $floor
+
+New from version 4.0.
+
+The `$floor` operator in Amazon DocumentDB returns the largest integer that is less than or equal to the specified number. This operator is useful for rounding down numeric values.
+
+**Parameters**
+
+  * `expression`: The numeric expression to round down.
+
+
+
+
+## Example (MongoDB Shell)
+
+The following example demonstrates the use of the `$floor` operator to round a decimal value down to the nearest integer.
+
+**Create sample documents**
+    
+    
+    db.numbers.insertOne({ value: 3.14 });
+
+**Query example**
+    
+    
+    db.numbers.aggregate([
+      { $project: { _id: 0, floored: { $floor: "$value" } } }
+    ]);
+
+**Output**
+    
+    
+    { "floored" : 3 }
+
+## Code examples
+
+To view a code example for using the `$floor` command, choose the tab for the language that you want to use:
+
+Node.js
+    
+    
+    
+    const { MongoClient } = require('mongodb');
+    
+    async function example() {
+      const uri = 'mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false';
+      const client = new MongoClient(uri);
+    
+      try {
+        await client.connect();
+    
+        const db = client.db('test');
+        const collection = db.collection('numbers');
+    
+        const result = await collection.aggregate([
+          { $project: { _id: 0, floored: { $floor: "$value" } } }
+        ]).toArray();
+    
+        console.log(result);
+    
+      } catch (error) {
+        console.error('Error:', error);
+      } finally {
+        await client.close();
+      }
+    }
+    
+    example();
+
+Python
+    
+    
+    
+    from pymongo import MongoClient
+    from pprint import pprint
+    
+    def example():
+        client = None
+        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.numbers
+    
+            result = list(collection.aggregate([
+                { '$project': { '_id': 0, 'floored': { '$floor': '$value' }}}
+            ]))
+    
+            pprint(result)
+    
+        except Exception as e:
+            print(f"An error occurred: {e}")
+    
+        finally:
+            if client:
+                client.close()
+    
+    example()
+
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+
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+
+[Document Conventions](/general/latest/gr/docconventions.html)
+
+$first
+
+$geoNear
+
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+
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