AWS documentdb documentation change
Summary
Removed entire documentation content for the $geoNear aggregation stage, including examples, parameters, and code samples in multiple programming languages.
Security assessment
This change removes documentation content entirely without any indication of security vulnerabilities or security-related updates. The removed content was purely functional documentation about the $geoNear aggregation operator with example usage. There is no evidence in the diff of security fixes, vulnerability disclosures, or security feature additions.
Diff
diff --git a/documentdb/latest/developerguide/geoNear.md b/documentdb/latest/developerguide/geoNear.md index a2b12721b..8b1378917 100644 --- a//documentdb/latest/developerguide/geoNear.md +++ b//documentdb/latest/developerguide/geoNear.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#geoNear "Open PDF") @@ -3,144 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $geoNear - -The `$geoNear` aggregation stage returns documents in order of proximity to a specified point. It calculates the distance from the point and includes the distance in the output documents. - -**Parameters** - - * `near`: The point from which to calculate distances, specified as GeoJSON or legacy coordinates. - - * `distanceField`: The field name to store the calculated distance. - - * `spherical`: Boolean indicating whether to use spherical geometry (required for GeoJSON points). - - * `maxDistance`: Optional. Maximum distance from the center point. - - * `minDistance`: Optional. Minimum distance from the center point. - - * `query`: Optional. Additional filter criteria to apply. - - * `limit`: Optional. Maximum number of documents to return. - - * `key`: Optional. Field to use for geospatial query when multiple geospatial indexes exist. - - - - -## Example (MongoDB Shell) - -The following example demonstrates using the `$geoNear` stage to find stores nearest to a given location. - -**Create sample documents** - - - db.stores.createIndex({ location: "2dsphere" }); - - db.stores.insertMany([ - { _id: 1, name: "Store A", location: { type: "Point", coordinates: [-122.4, 37.8] } }, - { _id: 2, name: "Store B", location: { type: "Point", coordinates: [-122.5, 37.7] } }, - { _id: 3, name: "Store C", location: { type: "Point", coordinates: [-122.3, 37.9] } } - ]); - -**Query example** - - - db.stores.aggregate([ - { - $geoNear: { - near: { type: "Point", coordinates: [-122.4, 37.8] }, - distanceField: "distance", - spherical: true - } - } - ]); - -**Output** - - - [ - { _id: 1, name: 'Store A', location: { type: 'Point', coordinates: [ -122.4, 37.8 ] }, distance: 0 }, - { _id: 3, name: 'Store C', location: { type: 'Point', coordinates: [ -122.3, 37.9 ] }, distance: 13877.82 }, - { _id: 2, name: 'Store B', location: { type: 'Point', coordinates: [ -122.5, 37.7 ] }, distance: 15557.89 } - ] - -## Code examples - -To view a code example for using the `$geoNear` aggregation stage, 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('stores'); - - const result = await collection.aggregate([ - { - $geoNear: { - near: { type: "Point", coordinates: [-122.4, 37.8] }, - distanceField: "distance", - spherical: true - } - } - ]).toArray(); - - console.log(result); - await client.close(); - } - - example(); - -Python - - - - from pymongo import MongoClient - - def example(): - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - db = client['test'] - collection = db['stores'] - - result = list(collection.aggregate([ - { - '$geoNear': { - 'near': { 'type': 'Point', 'coordinates': [-122.4, 37.8] }, - 'distanceField': 'distance', - 'spherical': True - } - } - ])) - - print(result) - 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) - -$floor - -$group - -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.