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OCI Releases Micronaut 1.3 Featuring Micronaut Data 1.0

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Object Computing, Inc. (OCI) released Micronaut 1.3 featuring the milestone release of project Micronaut Data 1.0, "a database access toolkit that uses Ahead of Time (AoT) compilation to pre-compute queries for repository interfaces that are then executed by a thin, lightweight runtime layer." Additional features in Micronaut 1.3 include immutable configuration properties; cache support for Ehache, Hazelcast, Infinispan, and more; initial support for Kotlin co-routines and Asynchronous Flow; support for GraalVM 19.3 and XML serialization/deserialization with Jackson XML; and improvements to performance and memory consumption.

Originally known as Micronaut Predator, Micronaut Data provides a general API for translating a Query model into a query at compile time and provides runtime support for JPA/Hibernate and SQL/JDBC backends. The Micronaut Data team plans to support other database Implementations in the future. Micronaut Data supports H2, MySQL 5.5+, Oracle 12c+, PostgreSQL 9.5+, and SQLServer 2012+.

Inspired by GORM and Spring Data, Micronaut Data improves on these two technologies by eliminating the runtime model that uses reflection, eliminating query translation that uses regular expressions and pattern matching, and adding type safety. The use of reflection in GORM and Spring Data for modeling relationships between entities leads to more memory consumption.

Getting Started

Like any other Micronaut application, a skeletal, yet working Micronaut Data application can be created via the command line using the appropriate parameters for either a JPA/Hibernate or SQL/JDBC backend as a starting point for a more comprehensive application:

    
$ mn create-app myapp --features data-hibernate-jpa
$ mn create-app myapp --features data-jdbc
    

With Gradle set as the default build tool for Micronaut applications, the generated build.gradle file will contain the appropriate dependencies:

    
implementation "io.micronaut.data:micronaut-data-hibernate-jpa"
implementation "io.micronaut.data:micronaut-data-jdbc"
    

Consider a simple movie H2 database application modeled with Micronaut Data. Two tables, movie and director, will have corresponding POJOs, repositories and controllers in the application. The Movie class, representing a movie table, will capture some movie information and define a universally unique identifier (UUID) and a @ManyToOne relationship with a director table.

    
@Entity
public class Movie {

    @Id
    @AutoPopulated
    private UUID id;

    private String name;
    private MovieType type;
    private int year;

    @ManyToOne
    private Director director;

    @Creator
    public Movie(String name, @Nullable Director director, MovieType type, int year) {
        // setter methods
        }
    }
    

@AutoPopulated identifies annotations that are auto-populated by Micronaut Data and @Creator is an annotation applicable to a primary constructor.

Creating a Repository

Consider the following repository interface:

    
@JdbcRepository(dialect = Dialect.H2)
public interface MovieRepository extends CrudRepository<Movie,Long> {
    Movie findByName(String name);

    @Join("director")
    Optional<Movie> findByName(String lastName);
    }
    

The MovieRepository interface is defined as a data repository via the @JdbcRepository annotation, a stereotype repository that configures a Repository to use raw SQL encoding. An implementation is automatically generated by Micronaut Data at runtime. The CrudRepository interface automatically provides create, read, update and delete operations. The movie table is joined to the director table via the @Join annotation.

Query Computation

Based on an application's POJOs, repositories and controllers, Micronaut Data computes the appropriate queries. Consider the following test:

    
@Inject
BeanContext beanContext;

@Test
void testQuery() {
    String query = beanContext.getBeanDefinition(MovieRepository.class)
                .getRequiredMethod("findByName",String.class)
                .getAnnotationMetadata()
                .stringValue(Query.class)
                .get();
        assertEquals(
                "SELECT ... FROM ... INNER JOIN ... ON ... WHERE ...",
                query
                );
        }
    

The injected Micronaut BeanContext will generate a full query based on the findByName() method defined in the MovieRepository interface.

    
SELECT movie_.`id`,movie_.`name`,movie_.`director_id`,movie_.`type`,movie_.`year`,movie_director_.`last_name` AS
director_last_name,movie_director_.`first_name` AS director_first_name,movie_director_.`name` AS director_name FROM
`movie` movie_ INNER JOIN `director` movie_director_ ON movie_.`director_id`=movie_director_.`id` WHERE (movie_.`name` = ?)
    

The full comprehensive example can be found on GitHub.

The Road to Micronaut 2.0

Looking ahead to Micronaut 2.0, the Micronaut team is planning improvements such as:

  • Reactive Micronaut Data for SQL, Neo4j and MongoDB
  • HTTP/2 support
  • Improvements to serverless support
  • New build plugins for Maven and Gradle
  • Further performance refinements

Micronaut Data joins other Micronaut projects such as Micronaut AWS, Micronaut GCP, Micronaut for Spring, Micronaut RabbitMQ, and Micronaut Test.

Editor's Note

A recent minor Micronaut 1.3.3 release now supports GraalVM 20.0.0.

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