How do you process millions of records efficiently using Spring Batch?

Spring Batch structures work into Jobs made of Steps, each with a chunk-oriented ItemReader → ItemProcessor → ItemWriter pipeline that commits in configurable chunk sizes (not one giant transaction). Use partitioning or multi-threaded steps to parallelize across large datasets, and a JobRepository to track progress and support safe restarts after failure.