AWS documentdb documentation change
Summary
Entire documentation page for $jsonSchema operator was removed, including all content, examples, and code samples.
Security assessment
The change removes documentation content entirely without any mention of security vulnerabilities, patches, or security-related updates. This appears to be a routine documentation cleanup or restructuring, possibly moving content to another location. There is no evidence in the diff of addressing security issues or adding security features.
Diff
diff --git a/documentdb/latest/developerguide/jsonSchema.md b/documentdb/latest/developerguide/jsonSchema.md index 4b0c17bdc..8b1378917 100644 --- a//documentdb/latest/developerguide/jsonSchema.md +++ b//documentdb/latest/developerguide/jsonSchema.md @@ -1 +0,0 @@ -[](/pdfs/documentdb/latest/developerguide/developerguide.pdf#jsonSchema "Open PDF") @@ -3,134 +1,0 @@ -[Documentation](/index.html)[Amazon DocumentDB](/documentdb/index.html)[Developer Guide](what-is.html) - -Example (MongoDB Shell)Code examples - -# $jsonSchema - -New from version 4.0. - -Not supported by Elastic cluster. - -The `$jsonSchema` operator in Amazon DocumentDB is used to filter documents based on a specified JSON schema. This operator allows you to query documents that match a particular JSON schema, ensuring that the retrieved documents adhere to specific structural and data type requirements. - -Using the `$jsonSchema` evaluation query operator as part of a collection creation, you can validate the schema of the documents being inserted into the collection. See [Using JSON schema validation](./json-schema-validation.html) for additional information. - -**Parameters** - - * `required` (array): Specifies the required fields in the document. - - * `properties` (object): Defines the data type and other constraints for each field in the document. - - - - -## Example (MongoDB Shell) - -The following example demonstrates the use of the `$jsonSchema` operator to filter the `employees` collection to only retrieve documents that have the `name`, `employeeId` and `age` fields, and the `employeeId` field is of type `string`. - -**Create sample documents** - - - db.employees.insertMany([ - { "name": { "firstName": "Carol", "lastName": "Smith" }, "employeeId": "1" }, - { "name": { "firstName": "Emily", "lastName": "Brown" }, "employeeId": "2", "age": 25 }, - { "name": { "firstName": "William", "lastName": "Taylor" }, "employeeId": 3, "age": 24 }, - { "name": { "firstName": "Jane", "lastName": "Doe" }, "employeeId": "4" } - ]); - -**Query example** - - - db.employees.aggregate([ - { $match: { - $jsonSchema: { - required: ["name", "employeeId", "age"], - properties: { "employeeId": { "bsonType": "string" } } - } - }} - ]); - -**Output** - - - { "_id" : ObjectId("6908e8b61f77fc26b2ecd26f"), "name" : { "firstName" : "Emily", "lastName" : "Brown" }, "employeeId" : "2", "age" : 25 } - -## Code examples - -To view a code example for using the `$jsonSchema` command, choose the tab for the language that you want to use: - -Node.js - - - - const { MongoClient } = require('mongodb'); - - async function filterByJsonSchema() { - 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('employees'); - - const result = await collection.aggregate([ - { - $match: { - $jsonSchema: { - required: ['name', 'employeeId', 'age'], - properties: { 'employeeId': { 'bsonType': 'string' } } - } - } - } - ]).toArray(); - - console.log(result); - await client.close(); - } - - filterByJsonSchema(); - -Python - - - - from pymongo import MongoClient - - def filter_by_json_schema(): - client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') - db = client['test'] - collection = db['employees'] - - result = list(collection.aggregate([ - { - '$match': { - '$jsonSchema': { - 'required': ['name', 'employeeId', 'age'], - 'properties': {'employeeId': {'bsonType': 'string'}} - } - } - } - ])) - - print(result) - client.close() - - filter_by_json_schema() - - **Javascript is disabled or is unavailable in your browser.** - -To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. - -[Document Conventions](/general/latest/gr/docconventions.html) - -$in - -$lt - -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.