Conquer Apache Kafka 2025 – Dive into Data Streaming Dominance!

The principle behind not allowing consumers to see messages until all in-sync replicas have received them is rooted in the concept of consistency in distributed systems. This approach ensures that any message consumed is guaranteed to be in a consistent state across all replicas of a partition. By requiring that all in-sync replicas acknowledge the receipt of a message before it becomes visible to consumers, the system mitigates the risk of data discrepancies resulting from partial updates.

This means that if a consumer reads a message, it can be assured that the message is safely stored across all replicas that are considered in-sync. Therefore, if one of the replicas encounters an issue or is unable to withstand a fault, the consumer will not process incomplete or outdated data, resulting in more reliable data handling and assuring that all consumers have access to the most current and consistent information.

Other considerations, such as durability or efficiency, can be important in the context of data processing systems but do not directly address the core reason for this specific design choice regarding consistency. The need for system availability is also vital but is usually a separate concern that is balanced with consistency in the event of failures or load distribution scenarios. Hence, consistency is the primary driving factor in this specific operational design.