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This article summarizes dynamic versus static consumer group membership in Apache Kafka. It shows how the approaches affect rebalancing in heavy state applications and teaches the user how to choose between the methods.
Learn how to avoid confusion by implementing co-partitioning.
Learn what windowing is in Kafka Streams and get comfortable with the differences between the main types.
Learn why configuring consumer Group IDs are a crucial part of designing your consumer application. By the end of this post, you’ll understand the impact they have on three areas: work sharing, new data detection, and data recovery.