Deep Dive into ValidationExceptionField in Amazon Managed Grafana

Introduction

Amazon Managed Grafana is a fully managed and secure data visualization service by AWS. It simplifies the process of creating insightful dashboards and analyzing metrics, logs, and traces from various data sources. In this article, we will take a detailed look at the ValidationExceptionField class in the com.amazonaws.services.managedgrafana.model package. We will explore its purpose, functionality, and usage with code examples to better understand how it fits into the overall Managed Grafana ecosystem.

Understanding ValidationExceptionField

The ValidationExceptionField class is a helpful component of the Amazon Managed Grafana Java SDK. It represents the fields that caused a validation exception when executing an API operation. It contains two properties - name and message.

• name (String): The name of the field that failed validation.
• message (String): The error message associated with the validation failure.

By leveraging the ValidationExceptionField class, developers can easily identify the specific fields and corresponding error messages that failed validation during an API call.

Code Examples

Let’s dive into some code examples to gain a deeper understanding of how to work with the ValidationExceptionField class.

Example 1: Retrieving Validation Exception Fields

To retrieve the validation exception fields, we need to catch and handle the ValidationException thrown by the Managed Grafana API call. Here’s an example:

try {
    // Managed Grafana API operation
} catch (com.amazonaws.services.managedgrafana.model.ValidationException e) {
    // Handling the validation exception
    java.util.List<ValidationExceptionField> fieldList = e.getFields();
    for (ValidationExceptionField field : fieldList) {
        System.out.println("Field: " + field.getName());
        System.out.println("Message: " + field.getMessage());
    }
}

In this example, we catch the ValidationException and retrieve its fields using the getFields() method. We then iterate over the fields and print their names and error messages.

Example 2: Creating a Validation Exception Field

You can also manually create a ValidationExceptionField object to represent a specific field and its associated error message. Here’s an example:

ValidationExceptionField field = new ValidationExceptionField()
        .withName("fieldName")
        .withMessage("Field value must be a positive integer.");

In this example, we create a new ValidationExceptionField instance and set its name and message using the withName() and withMessage() methods, respectively.

By customizing the name and message properties of a ValidationExceptionField, you can generate more specific and informative error messages.

Conclusion

The ValidationExceptionField class plays a vital role in the Amazon Managed Grafana Java SDK by providing information about fields that failed validation during an API operation. By utilizing this class, developers can easily identify and handle validation errors, resulting in more robust applications that leverage the features of Managed Grafana seamlessly.

In this article, we explored the purpose and usage of the ValidationExceptionField class, along with code examples to showcase its functionality. We hope this deep dive has provided you with a comprehensive understanding of this essential component in the Amazon Managed Grafana ecosystem.

To learn more about the Managed Grafana Java SDK and its various classes and operations, refer to the official AWS Managed Grafana Developer Guide.

Happy coding!

Total read time: 15 minutes