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This article shows you how Flink+Kafka implements end-to-end consistent semantics. The content is concise and easy to understand, and it will definitely make your eyes shine. I hope you can get something through the detailed introduction of this article.

Apache Flink Community version 1.4 officially introduced a landmark feature: two-phase commit Sink, or TwoPhaseCommitSinkFunction.

The SinkFunction extracts and encapsulates the common logic in the two-phase commit protocol, making it possible for Flink to build precise one-time processing semantics (exactly-once semantics) applications with specific Source and Sink. As an abstract class, TwoPhaseCommitSinkFunction provides an abstraction layer for users to implement specific methods to support Exactly-Once semantics.

Next, let's take a closer look at this feature of flink:

The role of Flink's checkpoints in ensuring exactly-once semantics

How does Flink guarantee exactly-once semantics from data source to data output through two-phase commit protocol

The above is how Flink+Kafka implements end-to-end consistent semantics. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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