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Jul 7, 2026 · Backend Development

Spring Batch for Massive Data Migration: Partitioning, Fault Tolerance & Checkpoint Restart

This article details production-ready Spring Batch architecture for massive data migration, covering core Job/Step/Chunk model, partitioning for parallelism, streaming file reads, JDBC batch tuning, retry/skip fault tolerance, checkpoint restart via BATCH_* tables, memory/cursor trade-offs, dynamic chunk sizing, monitoring metrics, and scheduler-executor decoupling with XXL-JOB or Airflow.