AWS documentdb documentation change
Summary
Added documentation for the $exists operator in Amazon DocumentDB, including usage with sparse indexes, parameters, MongoDB shell examples, and code examples in Node.js and Python
Security assessment
This change adds routine documentation for a MongoDB operator ($exists) and its usage with sparse indexes. While it includes connection strings with authentication parameters (username/password), this is standard database documentation and doesn't address any specific security vulnerability or weakness. The documentation shows proper TLS usage (tls=true) and certificate validation (tlsCAFile=global-bundle.pem), which are security best practices but not new security features.
Diff
diff --git a/documentdb/latest/developerguide/exists.md b/documentdb/latest/developerguide/exists.md index 8b1378917..75ba45e13 100644 --- a//documentdb/latest/developerguide/exists.md +++ b//documentdb/latest/developerguide/exists.md @@ -0,0 +1 @@ +[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#exists "Open PDF") @@ -1,0 +3,109 @@ +[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) + +Example (MongoDB Shell)Code examples + +# $exists + +The `$exists` operator is used to check whether a field exists in a document or not. `$exists` particularly useful when working with sparse indexes in Amazon DocumentDB, where the indexed field may not be present in all documents. + +To use a sparse index that you have created in a query, you must use the `$exists` clause on the fields that cover the index. If you omit `$exists`, Amazon DocumentDB will not use the sparse index for the query. + +**Parameters** + + * `field`: The field name to check for existence. + + * `value`: A boolean value (`true` or `false`) that specifies whether the field should exist (`true`) or not exist (`false`) in the matching documents. + + + + +## Example (MongoDB Shell) + +The following example demonstrates the use of the `$exists` operator with a sparse index on the `special_diets` field in the `food` collection. + +**Create sample documents** + + + db.food.insertMany([ + { _id: 1, name: "Apple", special_diets: ["vegetarian", "gluten-free"] }, + { _id: 2, name: "Broccoli" }, + { _id: 3, name: "Chicken", special_diets: ["dairy-free"] } + ]); + +**Create a sparse index on the `special_diets` field** + + + db.food.createIndex({ "special_diets": 1 }, { sparse: true, name: "special_diets_sparse_asc" }); + +**Query example** + + + db.food.find({ "special_diets": { $exists: true } }); + +**Output** + + + [ + { "_id" : 1, "name" : "Apple", "special_diets" : [ "vegetarian", "gluten-free" ] }, + { "_id" : 3, "name" : "Chicken", "special_diets" : [ "dairy-free" ] } + ] + +## Code examples + +To view a code example for using the `$exists` 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 collection = db.collection('food'); + + const result = await collection.find({ "special_diets": { $exists: true } }).toArray(); + console.log(result); + + await client.close(); + } + + main(); + +Python + + + + import pymongo + + client = pymongo.MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') + db = client['test'] + collection = db['food'] + + result = list(collection.find({"special_diets": {"$exists": True}})) + print(result) + + 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) + +$eq + +$expr + +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.