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ResourceInUseException in AWS Kinesis Firehose

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By Exception Decoded 3 min read

Introduction

In the world of data streams and real-time analytics, AWS Kinesis Firehose plays a vital role in efficiently ingesting and delivering streaming data to destinations such as Amazon S3, Redshift, or Elasticsearch Service. During development with Kinesis Firehose, you may come across an error known as ResourceInUseException. In this comprehensive guide, we will dive deep into this exception and explore its causes, possible solutions, and best practices to handle it effectively.

What is ResourceInUseException?

ResourceInUseException is an error thrown by the com.amazonaws.services.kinesisfirehose.model package in AWS Kinesis Firehose. This exception indicates that the requested resource is already in use and cannot be modified at the moment. This error typically occurs during the creation, update, or deletion of a Kinesis Firehose delivery stream.

Possible Causes

There are several possible causes for the ResourceInUseException in AWS Kinesis Firehose. Let’s take a look at some of them:

  1. Delivery Stream Already Exists: This exception may occur if you try to create a delivery stream with an already existing name. Each delivery stream must have a unique name within an AWS region.

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    AmazonKinesisFirehose kinesisFirehoseClient = AmazonKinesisFirehoseClientBuilder.defaultClient();

CreateDeliveryStreamRequest createRequest = new CreateDeliveryStreamRequest()
    .withDeliveryStreamName("my-delivery-stream")
    // ...
    // Set other parameters
    // ...

try {
    CreateDeliveryStreamResult createResult = kinesisFirehoseClient.createDeliveryStream(createRequest);
    // ...
} catch (ResourceInUseException e) {
    // Handle the exception
    // ...
}

  2. Delivery Stream Update Conflict: If you attempt to modify a delivery stream while it is being updated or in an incompatible state, the ResourceInUseException may be thrown.

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    AmazonKinesisFirehose kinesisFirehoseClient = AmazonKinesisFirehoseClientBuilder.defaultClient();

UpdateDestinationRequest request = new UpdateDestinationRequest()
    .withDeliveryStreamName("my-delivery-stream")
    // ...
    // Set other parameters
    // ...

try {
    UpdateDestinationResult result = kinesisFirehoseClient.updateDestination(request);
    // ...
} catch (ResourceInUseException e) {
    // Handle the exception
    // ...
}

  3. Concurrent Operations: Concurrent calls to the same API operation on a delivery stream can lead to the ResourceInUseException. Ensure that your application handles the scenario when multiple processes or threads attempt to modify the same Kinesis Firehose delivery stream concurrently.

Best Practices to Handle ResourceInUseException

To effectively handle the ResourceInUseException in AWS Kinesis Firehose, consider the following best practices:

  1. Retry Mechanism: Implement a retry mechanism with exponential backoff to handle the ResourceInUseException gracefully. This ensures that your application retries the API request after a certain interval in case of a transient failure.

  2. Idempotent Operations: Make your API requests idempotent whenever possible. This means that repeating the same operation multiple times has no additional effect. By designing your application with idempotency in mind, you can minimize the impact of intermittent failures and safely retry the operation.

  3. Naming Conventions: Ensure unique naming conventions for delivery streams to avoid conflicts. Before creating a new delivery stream, check if it already exists to prevent the ResourceInUseException.

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    public boolean isDeliveryStreamNameAvailable(String deliveryStreamName) {
    AmazonKinesisFirehose kinesisFirehoseClient = AmazonKinesisFirehoseClientBuilder.defaultClient();

    ListDeliveryStreamsRequest request = new ListDeliveryStreamsRequest();

    List<String> deliveryStreamNames;
    boolean available = true;
    do {
        ListDeliveryStreamsResult response = kinesisFirehoseClient.listDeliveryStreams(request);
        deliveryStreamNames = response.getDeliveryStreamNames();

        for (String name : deliveryStreamNames) {
            if (name.equals(deliveryStreamName)) {
                available = false;
                break;
            }
        }

        request.setExclusiveStartDeliveryStreamName(response.getNextDeliveryStreamName());
    } while (deliveryStreamNames.size() > 0 && available);

    return available;
}

  4. Monitoring and Logging: Implement comprehensive monitoring and logging for your Kinesis Firehose operations. This helps in identifying and diagnosing ResourceInUseException occurrences and understanding the root causes.

Conclusion

The ResourceInUseException in AWS Kinesis Firehose is a valuable indicator that the requested resource is already in use and cannot be modified at the moment. By understanding its causes and applying the best practices mentioned in this guide, you can handle this exception gracefully and improve the resiliency of your Kinesis Firehose applications.

Remember to implement proper error handling and thoroughly test your application’s behavior in the face of the ResourceInUseException. By doing so, you can ensure a smooth and uninterrupted data streaming experience with AWS Kinesis Firehose.

To explore more about Kinesis Firehose and its features, please refer to the official documentation and developer resources:

Happy streaming and happy coding!

AWS, AWS Kinesis Firehose
aws kinesisfirehose com.amazonaws.services.kinesisfirehose.model
This post is licensed under CC BY 4.0 by the author.