AWS documentdb documentation change
Summary
Entire documentation page for the $sample aggregation stage in Amazon DocumentDB has been removed, including all examples and code samples.
Security assessment
The change removes an entire documentation page about the $sample aggregation operator. There is no evidence in the diff that this removal is related to a security vulnerability, weakness, or incident. The removed content appears to be standard feature documentation with code examples. The removal could be due to content reorganization, deprecation, or consolidation, but without explicit security context, it cannot be classified as security-related.
Diff
diff --git a/documentdb/latest/developerguide/sample.md b/documentdb/latest/developerguide/sample.md index 4ae3d028b..8b1378917 100644 --- a//documentdb/latest/developerguide/sample.md +++ b//documentdb/latest/developerguide/sample.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#sample "Open PDF") @@ -3,116 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $sample - -The `$sample` aggregation stage in Amazon DocumentDB is used to randomly select a specified number of documents from a collection. This is useful for tasks such as data analysis, testing, and generating samples for further processing. - -**Parameters** - - * `size`: The number of documents to randomly select. - - - - -## Example (MongoDB Shell) - -The following example demonstrates how to use the `$sample` stage to randomly select two documents from the `temp` collection. - -**Create sample documents** - - - db.temp.insertMany([ - { "_id": 1, "temperature": 97.1, "humidity": 0.60, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 2, "temperature": 98.2, "humidity": 0.59, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 3, "temperature": 96.8, "humidity": 0.61, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 4, "temperature": 97.9, "humidity": 0.61, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 5, "temperature": 97.5, "humidity": 0.60, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 6, "temperature": 98.0, "humidity": 0.59, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 7, "temperature": 97.2, "humidity": 0.60, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 8, "temperature": 98.1, "humidity": 0.59, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 9, "temperature": 96.9, "humidity": 0.62, "timestamp": ISODate("2019-03-21T21:17:22.425Z") }, - { "_id": 10, "temperature": 97.7, "humidity": 0.60, "timestamp": ISODate("2019-03-21T21:17:22.425Z") } - ]); - -**Query example** - - - db.temp.aggregate([ - { $sample: { size: 2 } } - ]) - -**Output** - - - { "_id" : 4, "temperature" : 97.9, "humidity" : 0.61, "timestamp" : ISODate("2019-03-21T21:17:22.425Z") } - { "_id" : 9, "temperature" : 96.9, "humidity" : 0.62, "timestamp" : ISODate("2019-03-21T21:17:22.425Z") } - -As the results show, 2 of the 10 documents were randomly sampled. You can now use these documents to determine an average or to perform min/max calculations. - -## Code examples - -To view a code example for using the `$sample` command, choose the tab for the language that you want to use: - -Node.js - - - - const { MongoClient } = require('mongodb'); - - async function sampleDocuments() { - 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('temp'); - - const result = await collection.aggregate([ - { $sample: { size: 2 } } - ]).toArray(); - - console.log(result); - await client.close(); - } - - sampleDocuments(); - -Python - - - - from pymongo import MongoClient - - def sample_documents(): - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - db = client['test'] - collection = db['temp'] - - result = list(collection.aggregate([ - { '$sample': { 'size': 2 } } - ])) - - print(result) - client.close() - - sample_documents() - - **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) - -$rtrim - -$search - -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.