AWS documentdb documentation change
Summary
Entire documentation file for the $geoWithin operator in Amazon DocumentDB has been removed, including all examples, code samples, and usage instructions.
Security assessment
The change removes documentation about a geospatial query operator ($geoWithin) but provides no evidence of security vulnerability, incident, or security-related context. This appears to be routine documentation maintenance, possibly consolidating or reorganizing content. No security implications can be inferred from the removal of this geospatial operator documentation.
Diff
diff --git a/documentdb/latest/developerguide/geoWithin.md b/documentdb/latest/developerguide/geoWithin.md index bd886ac99..8b1378917 100644 --- a//documentdb/latest/developerguide/geoWithin.md +++ b//documentdb/latest/developerguide/geoWithin.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#geoWithin "Open PDF") @@ -3,181 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $geoWithin - -The `$geoWithin` operator in Amazon DocumentDB is used to find documents whose location data (represented as GeoJSON objects) are completely contained within a specified shape, such as a polygon or multipolygon. This is useful for querying for objects that are located within a specific geographic region. - -**Parameters** - - * `$geometry`: A GeoJSON object that represents the shape to query against. - - - - -## Example (MongoDB Shell) - -The following example demonstrates how to use the `$geoWithin` operator to find all airports located within the state of New York. - -**Create sample documents** - - - // Insert state document - db.states.insert({ - "name": "New York", - "loc": { - "type": "Polygon", - "coordinates": [[ - [-79.76278, 45.0], - [-73.94, 45.0], - [-73.94, 40.5], - [-79.76278, 40.5], - [-79.76278, 45.0] - ]] - } - }); - - // Insert airport documents - db.airports.insert([ - { - "name": "John F. Kennedy International Airport", - "type": "airport", - "code": "JFK", - "loc": { - "type": "Point", - "coordinates": [-73.7781, 40.6413] - } - }, - { - "name": "LaGuardia Airport", - "type": "airport", - "code": "LGA", - "loc": { - "type": "Point", - "coordinates": [-73.8772, 40.7769] - } - }, - { - "name": "Buffalo Niagara International Airport", - "type": "airport", - "code": "BUF", - "loc": { - "type": "Point", - "coordinates": [-78.7322, 42.9403] - } - } - ]); - -**Query example** - - - var state = db.states.findOne({"name": "New York"}); - - db.airports.find({ - "loc": { - "$geoWithin": { - "$geometry": state.loc - } - } - }, { - "name": 1, - "type": 1, - "code": 1, - "_id": 0 - }); - -**Output** - - - [ - { - "name": "John F. Kennedy International Airport", - "type": "airport", - "code": "JFK" - }, - { - "name": "LaGuardia Airport", - "type": "airport", - "code": "LGA" - } - ] - -## Code examples - -To view a code example for using the `$geoWithin` command, choose the tab for the language that you want to use: - -Node.js - - - - const { MongoClient } = require('mongodb'); - - async function findAirportsWithinState(stateName) { - 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 stateDoc = await db.collection('states').findOne({ name: stateName }, { projection: { _id: 0, loc: 1 } }); - const airportDocs = await db.collection('airports').find({ - loc: { - $geoWithin: { - $geometry: stateDoc.loc - } - } - }, { projection: { name: 1, type: 1, code: 1, _id: 0 } }).toArray(); - - console.log(airportDocs); - - await client.close(); - } - - findAirportsWithinState('New York'); - -Python - - - - from pymongo import MongoClient - - def find_airports_within_state(state_name): - try: - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - db = client['test'] - state_doc = db.states.find_one({'name': state_name}, {'_id': 0, 'loc': 1}) - airport_docs = db.airports.find({ - 'loc': { - '$geoWithin': { - '$geometry': state_doc['loc'] - } - } - }, {'name': 1, 'type': 1, 'code': 1, '_id': 0}) - - return list(airport_docs) - except Exception as e: - print(f'Error: {e}') - finally: - client.close() - - airports = find_airports_within_state('New York') - print(airports) - - **Javascript is disabled or is unavailable in your browser.** - -To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. - -[Document Conventions](/general/latest/gr/docconventions.html) - -$geoIntersects - -$maxDistance - -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.