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Accelerating Development.pptx
- 1. JPAstreamer
- 2. Problems Mixing Hibernate/JPA and Java for Database actions is neither completely type-sage nor intuitive. Tedious process to switch between two languages and HQL and JPQL syntax is wordy.
- 3. Solution The Java Stream API is efficient, terse and type-safe intuitive to express application logic with java streams Adding JPAstreamer make Your database application efficient, terse and type-safe intuitive to express application logic with java streams
- 4. How it fits? JPAstreamer is added as a lightweight dependency to the Maven/Gradle build. It integrates with the JPA layer by rendering the Stream queries to JPA and passing them to the underlying JPA provider for execution.
- 5. How it works? This enriches the API of an existing JPA provider to include Java Streams to express queries. Key parts: The annotation processor Generates metamodel used to compose predicates that can be interpreted by the Stream renderer The Stream renderer Inspects the Stream pipelines and renders optimized JPA queries.
- 6. Under the hood JPAstreamer uses and annotation processor to form a metamodel at compile time It inspects any classes marked with the standard JPA annotation @Entity For every entity Foo.class, a corresponsing Foo$.class is generated Classes can take the form Foo$.firstName.startWith(“”) that can ne interpreted by JPAstreamer’s query optimizer.
- 7. The Annotation Processor Meta model
- 8. The Stream renderer The StreamRenderer interface in JPAStreamer is responsible for converting the result set of a JPA query into a stream of objects that can be processed using Java Streams.
- 9. Thanks
- 10. MapStruct
- 11. The problem Need to map between different models View models vs DB models 3rd party REST api vs DB model Types are similar, but not quite the same
- 12. Problem Solutions Manually Boring Error prone (might miss mapping) Reflection-based libraries Lack of type-safe Performance penalty Difficult debugging
- 13. MapStruct Mappings are defined as interfaces Mapping java code generated at compile time using annotation processor No reflection No runtime dependencies
- 14. Advantages of code generation Type-safe Quick feedback loop Easy to debug Plain method calls -> very fast No runtime dependencies Works on CLI or in your IDE