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What should be considered when designing a system to handle duplicate messages from Kafka?

System should be flexible to ignore duplicates

System must account for lack of unique identifiers

System should allow for manual checking of messages

System should implement a strategy for detecting duplicates

When designing a system to handle duplicate messages from Kafka, implementing a strategy for detecting duplicates is crucial. This approach helps ensure that the processing of messages is both accurate and efficient. Kafka, by its nature, can sometimes deliver the same message more than once due to various reasons such as network issues or consumer failures. Thus, having a structured methodology to identify and discard these duplicates is essential to maintain data integrity, prevent data inflation, and ensure that business logic is applied correctly.

Detection strategies could involve using unique message identifiers, maintaining state to track processed messages, or leveraging external systems to validate message uniqueness. By ensuring duplicates are appropriately managed, the overall reliability of the data streaming pipeline is enhanced, leading to more robust application performance and a better user experience.

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