AWS documentdb documentation change
Summary
Entire documentation page for the $regexFind operator has been removed, including all examples, usage instructions, and code samples
Security assessment
The change removes documentation for a specific MongoDB operator ($regexFind) but provides no evidence of security vulnerabilities, patches, or security-related fixes. This appears to be routine documentation cleanup or restructuring, possibly due to feature deprecation or documentation reorganization. No security implications are mentioned in the removed content.
Diff
diff --git a/documentdb/latest/developerguide/regexFind.md b/documentdb/latest/developerguide/regexFind.md index 51e47c8e1..8b1378917 100644 --- a//documentdb/latest/developerguide/regexFind.md +++ b//documentdb/latest/developerguide/regexFind.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#regexFind "Open PDF") @@ -3,130 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $regexFind - -New from version 5.0. - -Not supported by Elastic cluster. - -The `$regexFind` operator in Amazon DocumentDB is used to perform regular expression matching on string fields within documents. It allows you to search for and extract specific substrings that match a given regular expression pattern. - -**Parameters** - - * `input`: The string field or expression to search. - - * `regex`: The regular expression pattern to match. - - * `options`: (optional) An object that specifies optional parameters for the regular expression, such as case-sensitivity and multi-line matching. Supported options are `i` (case-insensitive) and `m` (multi-line). - - - - -## Example (MongoDB Shell) - -The following example demonstrates how to use the `$regexFind` operator to search for documents where the `name` field matches a specific regular expression pattern. - -**Create sample documents** - - - db.users.insertMany([ - { "_id": 1, name: "John Doe", email: "[email protected]" }, - { "_id": 2, name: "Diego Ramirez", email: "[email protected]" }, - { "_id": 3, name: "Alejandro Rosalez", email: "[email protected]" }, - { "_id": 4, name: "Shirley Rodriguez", email: "[email protected]" } - ]); - -**Query example** - - - db.users.aggregate([ - { - $project: { - names: { - $regexFind: { input: '$name', regex: 'j', options: 'i' } - } - } - }, - { $match: {names: {$ne: null}}} - ]) - -This query will return all documents where the `name` field contains the letter "j" (case-insensitive). - -**Output** - - - [ - { _id: 1, names: { match: 'J', idx: 0, captures: [] } } - ] - -**Note:** If your query is using Amazon DocumentDB planner version 1, you must use a hint to utilize an index. Without a hint, the query may perform a collection scan. To check your planner version and learn more about using hints, see the [Amazon DocumentDB Query Planner documentation](https://docs.aws.amazon.com/documentdb/latest/developerguide/query-planner.html). - -## Code examples - -To view a code example for using the `$regexFind` command, choose the tab for the language that you want to use: - -Node.js - - - - const { MongoClient } = require('mongodb'); - - async function main() { - 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 users = db.collection('users'); - - const results = await users.aggregate([ - { $project: { names: { $regexFind: { input: "$name", regex: "john", options: "i" }}}}, - { $match: {names: {$ne: null}}} - ]).toArray(); - - - console.log(results); - - await client.close(); - } - - main(); - -Python - - - - from pymongo import MongoClient - - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - db = client['test'] - users = db['users'] - - results = list(users.aggregate([ - { "$project": { "names": { "$regexFind": { "input": "$name", "regex": "john", "options": "i" }}}}, - { "$match": {"names": {"$ne": None}}} - ])) - - print(results) - - client.close() - - **Javascript is disabled or is unavailable in your browser.** - -To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. - -[Document Conventions](/general/latest/gr/docconventions.html) - -$reduce - -$regexFindAll - -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.