JavaFest. Taras Boychuk. There is always a choice. Spring Data JDBC vs. Hibernate
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A relational database is still an industry standard for data persistence, while Hibernate is Java-framework #1 for building a persistence layer of our apps. Its features like Persistence Context, Dirty Checking, Lazy Loading, Action Queue, and Flush bring so much power... And so much complexity. There is literally no way to make Hibernate a simple lightweight framework. No worries, if you don't want to deal with complexity. There is always a choice. Spring Data JDBC is a super-simple framework that perfectly fits into your Spring application and brings you almost no magic. It's simple, predictable, and straightforward. And it's your new option for building a persistence layer.
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DevOps — это заговор сисадминов, чтобы заставить разработчиков делать чужую работу, но мы слишком умны, чтобы попасться на эту элементарную уловку ребрендингом! Посудите сами: мы написали код, он проходит тесты. Он, очевидно, работает и работает хорошо (Мы гордимся собой? Да!). И тут мы закончили.
Но приходят эти «визионеры» (все из operations, прошу заметить!) и рассказывают нам, что теперь надо учить YAML, Docker, Kubernetes и Terraform, потому что внезапно это наша головная боль?!
В этом докладе мы поговорим о том, зачем разработчикам нужен или не нужен DevOps. Мы рассмотрим аргументы, которые приводят идеологи DevOps, и решим, состоятельны они или нет. К концу доклада, будем надеяться, нам станет понятно, действительно ли это способ, который поможет нам (разработчикам) поставлять лучший код в прод чаще, или это, как всегда, разводка маркетологов и евангелистов.
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У вас древний проект? Все зовут его «Legacy», а вас «неудачник»? Возможно они даже смеются над вами.
Давайте взглянем на ситуацию с другого ракурса. Все (все, Карл!) успешные проекты рано или поздно превращаются в Legacy-проекты.
Я затрону тему Legacy не просто как явление, а как возможность быть постоянно в тренде, прослыть супер-спецом (даже если ты знаешь всего два фреймворка), сделать карьеру, как делать, то что ты хочешь, а не то что тебя просят. Ладно, ладно, я наврал про два фреймворка, но все остальное чистая правда. Я покажу, что вы можете творить, имея правильный подход к Legacy коду.
Суть в том, что Legacy — это не грустно/уныло/немодно, это просто/клево/весело, если с умом подойти к задаче!
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За ближайшие 50 минут я хочу попытаться убедить вас, что обновления это единственный путь успеха для самой Java и бизнеса экосистемы, ведь не стоит забывать, что это парная игра: тех, кто пишет приложения на Java и тех, кто пишет саму Java. Не забывайте, мы тут “в одной лодке”. В рамках этого доклада, я хочу развенчать 6 существующих заблуждений о современной Java:
1. Модули не нужны!
2. Java не годится для облаков.
3. JavaFx мертва!
4. Спецификации проектов OpenJDK крутые, но нет реального прогресса.
5. Java закостенела и не развивается.
6. GraalVM будет заменой HotSpot.
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Model-driven development (MDD) - подход к проектированию корпоративных приложений, при котором цифровая модель разрабатываемой системы становиться основным источником информации для разработки всех необходимых компонентов приложения. Однако, сложность применения MDD часто превышает все преимущества данного подхода, поэтому данный подход по-прежнему не находит широкое применение при разработке.
Но все изменилось, когда во вселенной Java появился Mr. JHipster. JHipster - это полнофункциональный MDD инструмент с открытым кодом, позволяющий разработчику быстро и просто создавать современные WEB - приложения со сложной масштабируемой архитектурой и не требующий наличия у разработчика глубоких знаний обо всем применяемом стеке технологий.
Я поделюсь с вами моим многолетним опытом применения MDD в корпоративной разработке. Я покажу вам на реальном примере, как можно использовать мощные возможности JHipster для быстрого создания WEB - приложений. Я расскажу вам о всех плюсах и минусах JHipster и раскрою секреты, как с помощью данного инструмента достигнуть максимальной продуктивности и не выстрелить себе в ногу.
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- 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