AWS documentdb documentation change

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

File: documentdb/latest/developerguide/minute.md

Summary

Added comprehensive documentation for the $minute aggregation pipeline operator in Amazon DocumentDB, including syntax, parameters, MongoDB Shell examples, and code examples in Node.js and Python

Security assessment

This change adds documentation for a date/time aggregation operator ($minute) with standard usage examples. The code examples include TLS connection parameters (tls=true, tlsCAFile=global-bundle.pem) which are standard security practices for database connections, but this is not new security documentation - it's just showing typical secure connection patterns. There is no evidence this addresses a specific security vulnerability or incident.

Diff

diff --git a/documentdb/latest/developerguide/minute.md b/documentdb/latest/developerguide/minute.md
index 8b1378917..29a51c868 100644
--- a//documentdb/latest/developerguide/minute.md
+++ b//documentdb/latest/developerguide/minute.md
@@ -0,0 +1 @@
+[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#minute "Open PDF")
@@ -1,0 +3,155 @@
+[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html)
+
+Example (MongoDB Shell)Code examples
+
+# $minute
+
+The `$minute` aggregation pipeline stage in Amazon DocumentDB extracts the minute value from a date or timestamp field.
+
+This operator is useful when you need to perform date and time-based calculations or grouping within your aggregation pipeline.
+
+**Parameters**
+
+  * `expression`: The date or timestamp field from which to extract the minute value.
+
+
+
+
+## Example (MongoDB Shell)
+
+The following example demonstrates how to use the `$minute` operator to group the documents by the minute value extracted from the timestamp field and count the number of documents in each group.
+
+**Create sample documents**
+    
+    
+    db.events.insertMany([
+      { timestamp: new Date("2023-04-15T10:30:25.000Z") },
+      { timestamp: new Date("2023-04-15T10:30:35.000Z") },
+      { timestamp: new Date("2023-04-15T10:31:05.000Z") },
+      { timestamp: new Date("2023-04-15T10:31:45.000Z") },
+      { timestamp: new Date("2023-04-15T10:32:15.000Z") }
+    ]);
+
+**Query example**
+    
+    
+    db.events.aggregate([
+      {
+        $group: {
+          _id: {
+            minute: { $minute: "$timestamp" }
+          },
+          count: { $count: {} }
+        }
+      },
+      { $sort: { "_id.minute": 1 } }
+    ]);
+
+**Output**
+    
+    
+    [
+      { "_id": { "minute": 30 }, "count": 2 },
+      { "_id": { "minute": 31 }, "count": 2 },
+      { "_id": { "minute": 32 }, "count": 1 }
+    ]
+
+## Code examples
+
+To view a code example for using the `$minute` 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');
+      const db = client.db('test');
+      const collection = db.collection('events');
+    
+      await collection.insertMany([
+        { timestamp: new Date("2023-04-15T10:30:25.000Z") },
+        { timestamp: new Date("2023-04-15T10:30:35.000Z") },
+        { timestamp: new Date("2023-04-15T10:31:05.000Z") },
+        { timestamp: new Date("2023-04-15T10:31:45.000Z") },
+        { timestamp: new Date("2023-04-15T10:32:15.000Z") }
+      ]);
+    
+      const result = await collection.aggregate([
+        {
+          $group: {
+            _id: {
+              minute: { $minute: "$timestamp" }
+            },
+            count: { $count: {} }
+          }
+        },
+        { $sort: { "_id.minute": 1 } }
+      ]).toArray();
+    
+      console.log(result);
+      await client.close();
+    }
+    
+    example();
+
+Python
+    
+    
+    
+    from pymongo import MongoClient
+    from datetime import datetime
+    
+    def example():
+        client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
+        db = client['test']
+        collection = db['events']
+    
+        collection.insert_many([
+            {'timestamp': datetime(2023, 4, 15, 10, 30, 25)},
+            {'timestamp': datetime(2023, 4, 15, 10, 30, 35)},
+            {'timestamp': datetime(2023, 4, 15, 10, 31, 5)},
+            {'timestamp': datetime(2023, 4, 15, 10, 31, 45)},
+            {'timestamp': datetime(2023, 4, 15, 10, 32, 15)}
+        ])
+    
+        result = list(collection.aggregate([
+            {
+                '$group': {
+                    '_id': {
+                        'minute': {'$minute': '$timestamp'}
+                    },
+                    'count': {'$count': {}}
+                }
+            },
+            {'$sort': {'_id.minute': 1}}
+        ]))
+    
+        print(result)
+        client.close()
+    
+    example()
+
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+
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+
+[Document Conventions](/general/latest/gr/docconventions.html)
+
+$min
+
+$mod
+
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