advanced~3h
JPA vs. Raw JDBC — Performance & When to Drop Down
JPA's entity-hydration overhead is real but usually negligible — this chapter is about recognizing the specific, narrow cases (extremely hot, read-only, high-volume paths) where dropping to a projection or raw JDBC is a measured, surgical win, not a wholesale rejection of everything this course covers.
Learning objectives
- Explain exactly what entity hydration costs, and why that cost is usually negligible.
- Identify the specific query shapes (high-volume, read-only) where raw JDBC or a projection is worth considering.
- Measure before optimizing — distinguish JPA overhead from an unrelated slow-query root cause.
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JPA vs. Raw JDBC — Performance & When to Drop Down