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Spring Boot Integration with Apache Kafka Streams

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1. Introduction to Apache Kafka Streams

Apache Kafka Streams is a library for building real-time streaming applications based on the Apache Kafka messaging system. It enables developers to process input streams through a high-level API, perform transformation and aggregation operations, and generate output streams. Kafka Streams provides built-in fault tolerance and recovery mechanisms, supports event time processing, and is suitable for real-time data stream processing scenarios.

Why Apache Kafka Streams?

Apache Kafka Streams offers the following benefits when building real-time streaming applications:

• Simplified architecture: Kafka Streams is built directly on top of Kafka, reducing architectural complexity compared to using a separate stream processing framework.
• Horizontal Scaling: Kafka Streams applications can scale horizontally and process large amounts of data without introducing additional complexity.
• Exactly-once semantics: Kafka Streams provides end-to-end Exactly-once semantics to ensure the accuracy and consistency of data processing.
• Integration with Kafka: Seamlessly integrate the Kafka ecosystem, such as concepts such as consumer groups and partitions, to facilitate integration with existing Kafka applications.

3. Integrate Apache Kafka Streams with Spring Boot

Integrating Apache Kafka Streams in Spring Boot can be done through Spring Kafka Streams support. Following is a simple example showing how to configure and use Spring Boot with Kafka Streams:

1. Add dependencies

First, inpom.xmlAdd Spring Kafka Streams dependency to the file:

                                   

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