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AWS documentdb documentation change

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

File: documentdb/latest/developerguide/hour.md

Summary

Removed entire documentation content for the $hour operator in Amazon DocumentDB, including examples, code samples, and usage instructions.

Security assessment

This change removes documentation content entirely without any indication of security vulnerabilities, patches, or security-related updates. The removed content appears to be standard operator documentation with code examples. There is no evidence of security fixes, vulnerability disclosures, or security feature additions in the diff.

Diff

diff --git a/documentdb/latest/developerguide/hour.md b/documentdb/latest/developerguide/hour.md
index 86b25f119..8b1378917 100644
--- a//documentdb/latest/developerguide/hour.md
+++ b//documentdb/latest/developerguide/hour.md
@@ -1 +0,0 @@
-[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#hour "Open PDF")
@@ -3,179 +1,0 @@
-[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
-
-Example (MongoDB Shell)Code examples
-
-# $hour
-
-The `$hour` operator extracts the hour component from a date or timestamp field.
-
-**Parameters**
-
-  * `dateExpression`: The date to which the operator is applied. This must resolve to a valid BSON date (e.g., a field like $createdAt or a date literal).
-
-
-
-
-A parameter can also be specified as a document in the following format:
-
-{ date: `<dateExpression>`, timezone: `<timezoneExpression>` }
-
-This allows to apply timezone-aware date operations.
-    
-    
-    - `<tzExpression>`: (optional) The timezone of the operation result. It must be a valid expression that resolves to a string formatted as either an Olson Timezone Identifier or a UTC Offset. If no timezone is provided, the result is in UTC.
-
-## Example (MongoDB Shell)
-
-The following example demonstrates how to use the `$hour` operator to extract the hour component from a date field and group the data accordingly.
-
-**Create sample documents**
-    
-    
-    db.events.insertMany([
-      { timestamp: new Date("2023-04-01T10:30:00Z") },
-      { timestamp: new Date("2023-04-01T12:45:00Z") },
-      { timestamp: new Date("2023-04-02T08:15:00Z") },
-      { timestamp: new Date("2023-04-02T16:20:00Z") },
-      { timestamp: new Date("2023-04-03T23:59:00Z") }
-    ]);
-
-**Query example**
-    
-    
-    db.events.aggregate([
-      {
-        $project: {
-          hour: { $hour: "$timestamp" }
-        }
-      },
-      {
-        $group: {
-          _id: "$hour",
-          count: { $sum: 1 }
-        }
-      },
-      {
-        $sort: { _id: 1 }
-      }
-    ]);
-
-**Output**
-    
-    
-    [
-      { "_id": 8, "count": 1 },
-      { "_id": 10, "count": 1 },
-      { "_id": 12, "count": 1 },
-      { "_id": 16, "count": 1 },
-      { "_id": 23, "count": 1 }
-    ]
-
-This query groups the events by the hour component of the `timestamp` field and counts the number of events for each hour.
-
-## Code examples
-
-To view a code example for using the `$hour` command, choose the tab for the language that you want to use:
-
-Node.js
-    
-    
-    
-    const { MongoClient } = require('mongodb');
-    
-    async function example() {
-      const client = new MongoClient('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('events');
-    
-        const result = await collection.aggregate([
-          {
-            $project: {
-              hour: { $hour: "$timestamp" }
-            }
-          },
-          {
-            $group: {
-              _id: "$hour",
-              count: { $sum: 1 }
-            }
-          },
-          {
-            $sort: { _id: 1 }
-          }
-        ]).toArray();
-    
-        console.log(result);
-      } catch (error) {
-        console.error('Error occurred:', error);
-      } finally {
-        await client.close();
-      }
-    }
-    
-    example();
-
-Python
-    
-    
-    
-    from pymongo import MongoClient
-    from datetime import datetime
-    
-    def example():
-        try:
-            client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
-            
-            db = client.test
-            collection = db.events
-    
-            result = list(collection.aggregate([
-                {
-                    "$project": {
-                        "hour": {"$hour": "$timestamp"}
-                    }
-                },
-                {
-                    "$group": {
-                        "_id": "$hour",
-                        "count": {"$sum": 1}
-                    }
-                },
-                {
-                    "$sort": {"_id": 1}
-                }
-            ]))
-    
-            print(result)
-    
-        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)
-
-$gte
-
-$ifNull
-
-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.