How can I handle errors in Kafka Streams?

How can I handle errors in Kafka Streams?

In Kafka Streams, you can handle errors using the ErrorHandler interface. You can implement custom error handling logic to manage exceptions that occur during processing.

What are the common types of errors I might encounter?

Common errors include deserialization errors, processing exceptions, and state store errors. Each requires different handling strategies.

Can I retry processing after an error?

Yes, you can implement a retry mechanism by using a combination of error handling and state management to reprocess records.

What happens to messages that fail to process?

Messages that fail to process can be sent to a dead letter queue (DLQ) for further analysis or reprocessing later.

Are there any best practices for error handling?

Best practices include logging errors, using DLQs, implementing idempotent processing, and monitoring your application for issues.