Spring data JDBC - example implementation

Github:

https://github.com/spring-projects/spring-data-jdbc

Documentation:

https://docs.spring.io/spring-data/jdbc/docs/current/reference/html/#reference

---

Problems with Hibernate

• feature rich, which means heavy
• complex with automagic, ergo unpredictable
• designed for huge monolithic applications

---

Why use Spring data JDBC?

• lightweight
• simple, which means predictable
• designed for microservices and DDD (supports immutable objects, using specified constructors)
• uses Spring Data repositories
• supports immutable fields and value objects

---

Spring Data JDBC - ORM

How specific problems are solved

1. Aggregate roots
2. insertion/deletion policy
3. how entity state is tracked
4. Object creation
5. Immutability (Persistence constructor, Wither, @Embedded)

---

ORM - supported types

• primitives, enums, String,
• Date, LocalDate, LocalDateTime, LocalTime
• Relationships: Set, Map, List
• Custom converters
• "Anything your database driver accepts." (like arrays in Postgresq)

---

Query methods

• deriving query from method name currently not supported
• custom row mapping
• modifying queries

---

important features not covered

custom converters - @ReadingConverter, @WritingConverter

mybatis integration

auditing

lifecycle events