Building Distributed Data Processing with Spring Batch 6 + Spring Boot 4

Spring Batch 6 and Spring Boot 4 enable distributed data processing to overcome throughput bottlenecks associated with single-threaded jobs. By implementing a partitioned, multi-threaded pipeline using a master/worker step model, users can process sales records in parallel. The framework relies on key abstractions including Job, Step, and the ItemReader, ItemProcessor, and ItemWriter pipeline. Chunk processing further optimizes performance by handling specific numbers of items within a single transaction to manage growing data volumes effectively.