InvalidSchemaDocException in AWS Cloud Directory

In this article, we will explore the InvalidSchemaDocException class of the com.amazonaws.services.clouddirectory.model package in AWS Cloud Directory. This exception is thrown when the specified schema document is invalid or incomprehensible.

Introduction

AWS Cloud Directory is a highly scalable and fully managed cloud-native directory service. It enables developers to build highly flexible and secure applications that require directory capabilities such as authorization, authentication, and structured storage.

Understanding InvalidSchemaDocException

The InvalidSchemaDocException class is a part of the AWS Cloud Directory SDK for Java. It is raised when the schema document passed to a method, such as CreateTypedLinkFacet, UpdateTypedLinkFacet, or CreateSchema, is not in a valid format or contains errors. This exception indicates that the schema document failed to meet the expectations defined by AWS Cloud Directory.

Syntax

Here is the syntax for the InvalidSchemaDocException class:

public class InvalidSchemaDocException extends AmazonServiceException {
    ...
}

Constructor

The InvalidSchemaDocException class provides different constructors to create instances of the exception:

public InvalidSchemaDocException(String message)

• Constructs a new InvalidSchemaDocException with the specified error message.

public InvalidSchemaDocException(String message, Throwable cause)

• Constructs a new InvalidSchemaDocException with the specified error message and a cause.

public InvalidSchemaDocException(Throwable cause)

• Constructs a new InvalidSchemaDocException with the specified cause and a default error message.

Common Scenarios

Let’s take a look at some common scenarios where the InvalidSchemaDocException may occur:

1. Invalid Attribute Definition

When defining attributes in the schema document, it is important to ensure that the attribute names are unique, correctly formatted, and adhere to the defined naming conventions. If a schema document contains duplicate or improperly named attributes, the InvalidSchemaDocException will be thrown.

// Example schema document with an invalid attribute definition
String schemaDocument = "{ \"Attributes\": [ { \"Name\": \"id\", \"Type\": \"String\" }, { \"Name\": \"id\", \"Type\": \"Number\" } ] }";

// Creating a new schema using the schema document will result in InvalidSchemaDocException
CreateSchemaRequest createSchemaRequest = new CreateSchemaRequest().withSchemaArn(schemaArn).withContent(schemaDocument);
CreateSchemaResult createSchemaResult = cloudDirectoryClient.createSchema(createSchemaRequest);

In the above example, the schema document defines two attributes with the same name “id”. This will throw an InvalidSchemaDocException because the attribute names must be unique within a schema.

2. Missing Required Fields

AWS Cloud Directory has certain mandatory fields that must be included in the schema document. If any of these required fields are missing, the InvalidSchemaDocException will be raised.

// Example schema document with missing required fields
String schemaDocument = "{ \"Attributes\": [ { \"Name\": \"id\", \"Type\": \"String\" } ] }";

// Creating a new schema using the schema document will result in InvalidSchemaDocException
CreateSchemaRequest createSchemaRequest = new CreateSchemaRequest().withSchemaArn(schemaArn).withContent(schemaDocument);
CreateSchemaResult createSchemaResult = cloudDirectoryClient.createSchema(createSchemaRequest);

In the above example, the schema document is missing the required SchemaArn field, which is necessary to uniquely identify the schema being created. This will result in an InvalidSchemaDocException being raised.

Handling InvalidSchemaDocException

When an InvalidSchemaDocException is encountered, you should handle it appropriately to ensure the smooth functioning of your application. Here is an example of how you can handle this exception:

try {
    // Code that may result in InvalidSchemaDocException
} catch (InvalidSchemaDocException e) {
    // Log the exception or take appropriate actions
    System.err.println("Invalid schema document: " + e.getMessage());
}

In the above code snippet, the createSchema method throws InvalidSchemaDocException. We catch the exception and log an appropriate error message. You can modify this code to perform any required error recovery or exception handling logic specific to your application.

Conclusion

In this article, we discussed the InvalidSchemaDocException class of the com.amazonaws.services.clouddirectory.model package in AWS Cloud Directory. We learned about its syntax, constructors, and common scenarios where this exception may occur. We also explored how to handle this exception effectively in your applications.

To learn more about working with AWS Cloud Directory and its related classes and methods, refer to the official AWS SDK for Java documentation.

References

• AWS SDK for Java Documentation
• AWS Cloud Directory Official Documentation