advanced~3h
Bulk Updates & Batch Processing
Updating or inserting thousands of rows one entity at a time through the persistence context is catastrophically slow at scale — bulk JPQL statements and JDBC batching are the two distinct tools for avoiding that cost, each solving a genuinely different shape of problem.
Learning objectives
- Write a bulk JPQL update/delete and explain exactly what it skips compared to entity-by-entity saves.
- Explain why an already-loaded entity becomes stale after an unrelated bulk update affecting the same row.
- Configure JDBC batching and explain how it differs from a bulk update in what it actually optimizes.
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Bulk Updates & Batch Processing