AWS documentdb documentation change
Summary
Entire documentation page for the $ltrim operator in Amazon DocumentDB has been removed, including all content, examples, and code samples
Security assessment
This change removes an entire documentation page about the $ltrim operator (a string manipulation function). There is no evidence in the diff that this removal is related to a security vulnerability, weakness, or incident. The removal appears to be a documentation restructuring or deprecation of content, not a security-related change. The content removed was purely functional documentation about a MongoDB operator implementation in DocumentDB.
Diff
diff --git a/documentdb/latest/developerguide/ltrim.md b/documentdb/latest/developerguide/ltrim.md index 6c4f9328a..8b1378917 100644 --- a//documentdb/latest/developerguide/ltrim.md +++ b//documentdb/latest/developerguide/ltrim.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#ltrim "Open PDF") @@ -3,165 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $ltrim - -New from version 4.0. - -Not supported by Elastic cluster. - -The `$ltrim` operator in Amazon DocumentDB is used to remove leading characters from a string. By default, it removes leading whitespace characters, but you can also specify a set of characters to remove by passing the chars argument. - -**Parameters** - - * `input`: The input string from which to remove leading whitespace characters. - - * `chars`: (optional) To remove specific characters. - - - - -## Example (MongoDB Shell) - -The following example demonstrates the usage of `$ltrim` to remove specified characters (" *") from the beginning of a string. - -**Create sample documents** - - - db.collection.insertMany([ - { name: " *John Doe", age: 30 }, - { name: "Jane Doe*", age: 25 }, - { name: " Bob Smith ", age: 35 } - ]); - -**Query example** - - - db.collection.aggregate([ - { - $project: { - _id: 0, - name: { - $ltrim: { input: "$name", chars: " *" } - }, - age: 1 - } - } - ]); - -**Output** - - - [ - { "name": "John Doe", "age": 30 }, - { "name": "Jane Doe ", "age": 25 }, - { "name": "Bob Smith ", "age": 35 } - ] - -## Code examples - -To view a code example for using the `$ltrim` 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'); - - try { - await client.connect(); - - const db = client.db('test'); - const collection = db.collection('collection'); - - const pipeline = [ - { - $project: { - _id: 0, - name: { - $ltrim: { - input: '$name', - chars: ' *' - } - }, - age: 1 - } - } - ]; - - const result = await collection.aggregate(pipeline).toArray(); - - console.dir(result, { depth: null }); - - } finally { - await client.close(); - } - } - - example().catch(console.error); - -Python - - - - from pymongo import MongoClient - - 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.collection - - pipeline = [ - { - "$project": { - "_id": 0, - "name": { - "$ltrim": { - "input": "$name", - "chars": " *" - } - }, - "age": 1 - } - } - ] - - results = collection.aggregate(pipeline) - - for doc in results: - print(doc) - - except Exception as e: - print(f"An error occurred: {e}") - - finally: - client.close() - - example() - - **Javascript is disabled or is unavailable in your browser.** - -To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. - -[Document Conventions](/general/latest/gr/docconventions.html) - -$lookup - -$map - -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.