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JavaFest. Taras Boychuk. There is always a choice. Spring Data JDBC vs. Hibernate
- 1. 1 Hibernate vs. Spring Data JDBC Taras Boychuk
- 2. 2
- 4. 4 Let’s have fun 😀
- 6. 6
- 7. 7 💁
- 8. 8 • Brief ORM overview • Hibernate coding session • Spring Data JDBC coding session • Conclusion Agenda
- 9. 9 Spring Data JDBCvs. 2001 2018
- 10. 10 ORM
- 11. 11
- 13. 13 Spring Boot Spring Data JPA
- 14. 14 Let’s check out the code 💻
- 15. You should always know the session boundaries 🏁
- 16. • 1-level cache • Lazy loading • Dirty checking • Orphan removal Application ⛔ ⛔ ⛔ ⛔ Session ✅ ✅ ✅ ✅
- 18. 😱
- 19. 19 Session Persistence Context Action Queue Entities states SQL queries
- 20. Event Updates Persistence Context Creates an Action (SQL) 🔥 Event
- 22. 22 1. OrphanRemovalAction 2. EntityInsertAction or EntityIdentityInsertAction 3. EntityUpdateAction 4. CollectionRemoveAction 5. CollectionUpdateAction 6. CollectionRecreateAction 7. EntityDeleteAction 😲 Action Queue Order
- 24. 24 Persistence Context Lazy Loading Dirty Checking Cascade Operations Orphan Removal Action Queue Flush
- 25. 25 You couldn't imagine Hibernate complexity if you didn't dive into it 😔
- 26. 26 There is always a choice – Spring Data JDBC
- 27. Spring Data JDBC 🤷 simple & lightweight alternative to JPA Session Lazy Loading Dirty Checking
- 28. 28 Let’s check out the code 💻
- 29. Spring Data JDBC • based on the idea of Aggregate Root (Domain Drive Design) • supports Spring Data CRUD repository • supports @Query (native) • straightforward • fast
- 30. 30 Which one will you choose?
- 31. 31
- 32. 32
- 33. 33
- 34. Spring Data JDBC
- 36. 36 2003
- 38. 38 Tools don't make a difference, but people do
- 39. 39 See you