Log Compaction Theory

The video tutorial explains log compaction in Kafka, focusing on its purpose, functionality, and configuration. It uses an example of employee salary data to illustrate how log compaction retains the latest updates for keys, ensuring efficient data storage. The tutorial also addresses common myths and potential issues, such as duplicate data and compaction failures, and provides guidance on configuring log compaction settings.

How does log compaction handle duplicate messages in Kafka?

What is the significance of the 'min cleanable dirty ratio' setting in Kafka?

Discuss the implications of log compaction on consumer behavior in Kafka.