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Cloud Native Java with the Micronaut Framework | 1Z1-456 Latest Questions and cheat sheet

Key Takeaways
  • The Micronaut framework gives a solid basis for constructing Cloud Native Java microservices in response to a compilation-time method. 
  • Tight integration with GraalVM Native image ahead-of-Time Compilation (AOT) makes it handy to convert functions to native executables, which has massive merits, above all for serverless and microservice workloads. 
  • decreasing the use of Java reflection, runtime proxy era, and dynamic classloading has resulted in efficiency, memory & startup improvements and makes it less demanding to debug and verify Micronaut purposes. 
  • energetic compilation-time checking increases type defense and improves developer productivity through surfacing error at construct time rather than runtime. 
  • a large ecosystem of modules and integrations, similar to Micronaut records for database access, has helped supply extra improvements in the Micronaut framework.
  • this article is a part of the article series "Native Compilations Boosts Java". that you can subscribe to receive notifications about new articles during this series by means of RSS.

    Java dominates commercial enterprise functions. however within the cloud, Java is more expensive than some opponents. Native compilation with GraalVM makes Java within the cloud more cost-effective: It creates purposes that start a good deal sooner and use less memory.

    So native compilation raises many questions for all Java clients: How does native Java exchange construction? When should still they swap to native Java? When should they now not? And what framework should still they use for native Java? This sequence will deliver answers to these questions.

    altering the belief of Server facet Java related backed content

    In 2017 the Java Server side panorama had a perception issue. With the shift to microservices and lighter weight, regularly containerized runtimes, builders begun to observe the relative bloat of typical Java purposes, packaged and deployed to a shared Java virtual machine (JVM) on a servlet container. The emergence of Serverless additional accelerated this notion.

    It become during this time that a team at Object Computing begun rethinking how Java frameworks are designed from the floor up. The influence is the Micronaut framework, a Java framework that takes a totally diverse method by shifting the computation of how the framework is wired together into the compilation phase with Java annotations. That fully eliminates the need for reflection, runtime generated proxies, and complex dynamic classloading, which might be latest in typical Java frameworks.

    the primary public unencumber of the Micronaut framework in April 2018 triggered a sea trade in considering in the Java house and adjusted the notion of Java being sluggish and bloated. many more moderen initiatives have taken the same approach: movement extra common sense into the build and compilation part of the application to optimize software startup and eliminate reflection.

    The merits of a build-time strategy are clear: by computing more during compilation, the framework is already primed for execution in the most superior means. And getting rid of reflection, dynamic classification loading, and runtime technology of proxies offers us further downstream optimization opportunities for both the JIT and, significantly, GraalVM’s Native photograph tooling. because of this method, Native photo requires no additional configuration to function a closed-world static analysis of a Micronaut framework software.

    due to this synergy between the Micronaut framework and GraalVM, the Micronaut framework co-founder Graeme Rocher joined Oracle Labs. Oracle Labs doesn't only own GraalVM but also, besides Object Computing, contributes tremendously to the Micronaut framework's ongoing construction.

    what's the Micronaut Framework?

    a standard misconception in regards to the Micronaut framework is that it is entirely designed for microservices. in fact, the Micronaut framework features an extremely modular structure for a variety of application kinds! 

    At its base, the Micronaut framework implements the JSR-330 dependency injection specification. The framework provides a number of additional built-in features on desirable that make it a very good option as a universal-purpose framework backed by means of an annotation-based mostly programming model, together with:

    Micronaut has an HTTP server and HTTP client constructed on the Netty I/O toolkit.

    users have adopted the Micronaut framework to build serverless applications, command-line functions, and even JavaFX purposes. 

    The Micronaut framework’s strong core basis provides the groundwork for an extensive ecosystem of modules that enable Micronaut to solve a number of issues. this flexibility is liable for the Micronaut framework’s dramatic increase in popularity amongst builders. here structure diagram describes how the framework is structured:

    The foundational layer is based on Java Annotation Processing (APT), implements bring together-time dependency injection, and supports the development of a considerable number of modules, including the Netty-based mostly HTTP server. however additionally covers other areas, comparable to information entry, security, and JSON Serialization.

    Why may still i use the Micronaut Framework?

    The intention of the Micronaut framework is to provide a light-weight alternative to average Java frameworks by using casting off absolutely the dynamic constituents of those frameworks that use features corresponding to Java reflection, dynamic category loading, and the runtime era of proxies and byte code.

    The removal of those elements of traditional frameworks has a profound have an effect on on improving efficiency, reminiscence consumption, safety, robustness, ease of debugging, and trying out. and in contrast to other solutions, a Micronaut framework utility starts up without delay in the JVM, too!

    The improvements to startup time regularly absolutely eliminate the should break up code between integration and unit checking out, tremendously enhancing the code to check cycle time. Too often in the past, they wrote fewer integration checks since the application all started up too slowly. The Micronaut framework eliminates this challenge and hence doesn’t include wide mocking amenities for the HTTP layer. Many frameworks do in an effort to stay away from the charge of having to delivery the software.

    eliminating reflection also helps debugging with a reduction in the size of stack traces that could commonly be tremendous in usual frameworks. 

    The Micronaut framework additionally provides mechanisms and APIs to shift your personal code to build-time approaches. That’s why, by way of integrating directly with the Java compiler, the Micronaut framework can and does produce compilation errors when annotations are used incorrectly, improving the type protection of code and normal developer event.

    Getting all started with the Micronaut Framework

    This part will cowl tips to get started with the Micronaut framework to construct Cloud Native Java microservices.

    There are a number of other ways to get going with the Micronaut framework. At a minimal, you need a JDK for Java SE 8 or later. to make use of the Native image feature, you want GraalVM JDK for Java eleven or later.

    To create a Micronaut application, you can use one of the vital wizards integrated into your favorite IDE, for example, IntelliJ theory surest or the GraalVM tools for Micronaut Extension for VSCode.

    alternatively, it's super handy to create a new Micronaut software by the use of the internet with Micronaut Launch. it really is a undertaking creation wizard that means that you can choose the form of software you wish to construct and the facets you want to encompass. It then generates a zipper file with the utility that you can down load or permits you to push the code to a Github repository of your identifying.

    in case you feel more at home with the command line, that you may also create an software with the aid of setting up the Micronaut CLI by means of average strategies, together with SDKMAN!, Homebrew, and many others. once installed, growing a new software is so simple as:

    mn create-app demo –construct gradle

    youngsters, in case you don't seem to be inquisitive about setting up an additional CLI application, no difficulty! that you could use the Micronaut Launch API by means of curl without delay:

    curl https://delivery.micronaut.io/demo.zip\?construct\=gradle -o demo.zip && unzip demo.zip && cd demo

    The above instructions create applications with the Gradle construct device. you could change the notice “gradle” with “maven” to make use of Maven instead.

    when it comes to the venture constitution, a Micronaut framework assignment is constitution within the identical manner as any other Java venture:

  • A Gradle or Maven build (despite the fact any build tools can also be configured, corresponding to Bazel, for instance)
  • Configuration is equipped via src/leading/supplies/software.yml by using default. although, if you are not a YAML fan, that you can use Java houses, JSON, HOCON, or TOML as alternatives.
  • Logging by default is in accordance with the SLF4J + Logback mixture by means of src/leading/resources/logback.xml. you can swap the SLF4J adapter for other logging techniques.
  • testing is in response to JUnit 5, but assist for different check frameworks, including Spock and Kotest for Kotlin, exist as alternate options.
  • A newly created task points a few Java sources to help you get going. the first is an utility.java category found within src/leading/java that includes the leading entry element for a Micronaut application:

    package demo; import io.micronaut.runtime.Micronaut; public type utility public static void main(String[] args) Micronaut.run(application.category, args);

    The call to Micronaut.run(..) triggers the startup sequence of the framework.

    The second generated classification is within the src/examine/java listing and checks that the software can beginning efficiently with none error:

    package demo; import io.micronaut.runtime.EmbeddedApplication; import io.micronaut.verify.extensions.junit5.annotation.MicronautTest; import org.junit.jupiter.api.test; import org.junit.jupiter.api.Assertions; import jakarta.inject.Inject; @MicronautTest class DemoTest @Inject EmbeddedApplication<?> software; @look at various void testItWorks() Assertions.assertTrue(application.isRunning());

    This JUnit 5 test is annotated with @MicronautTest, a JUnit 5 extension that allows for a JUnit 5 verify to inject any element into the check itself. in this case, it’s the EmbeddedApplication classification that models the operating application.

    setting up an IDE for Micronaut construction

    frequently speaking, some of the benefits of the Micronaut framework being based on Java Annotation Processing (APT) is that no special construct tooling whatsoever is needed to work with the framework. All typical IDEs help annotation processing, although some, such as Eclipse, require you to permit annotation processing explicitly. 

    in spite of this, the increase in recognition of the Micronaut framework has viewed IDE companies boost particular help for the framework. JetBrain’s IntelliJ ideal comprises wonderful tooling for users of the framework, including a task wizard, code completion for configuration, Micronaut information aid, and extra.

    furthermore, there's impressive help in visual Studio Code via the free GraalVM Extension Pack, which is in line with the NetBeans IDE. It includes a Micronaut assignment introduction wizard, code completion for configuration, and built-in native photo elements for Micronaut functions.

    after you have either of those alternatives installed, effortlessly opening the Gradle or Maven task in the IDE will set everything up, and also you are ready to go.

    Writing rest APIs

    The Micronaut framework supports a wide range of server-aspect workloads, together with relaxation, gRPC, GraphQL, and Message-driven microservices with messaging technologies similar to Kafka, RabbitMQ, JMS, and MQTT. This introduction will focus on constructing relaxation applications with the default Netty-based HTTP server.

    every HTTP route in a Micronaut software is defined by using a Java type annotated with the @Controller annotation. The name of the annotation originates from the model View Controller MVC sample. a sort annotated with @Controller can specify one or extra methods that map to a specific HTTP verb and URI.

    The canonical “hi there World” illustration can also be carried out with a Micronaut controller as follows:

    equipment demo; import io.micronaut.http.MediaType; import io.micronaut.http.annotation.Controller; import io.micronaut.http.annotation.Get; @Controller("/howdy") public type HelloController @Get(uri="/name", produces=MediaType.TEXT_PLAIN) String hi there(String identify) return "hi there " + identify;

    The controller is mapped to the URI /hi there. A single system annotated with @Get handles an HTTP GET and makes use of a RFC 5741 URI Template to bind the name parameter of the formula. You delivery the server through working the leading method of the application type from an IDE or use ./gradlew run or ./mvnw mn:run. Now that you can look at various the endpoint manually by using sending a curl request to the default 8080 port used through the Micronaut HTTP server:

    curl -i http://localhost:8080/hiya/John HTTP/1.1 200 adequate date: Mon, 28 Mar 2022 13:08:fifty four GMT content-class: textual content/plain content-length: 10 connection: preserve-alive howdy John

    With the Micronaut framework’s mighty focus on trying out, although, what more advantageous way to are attempting out the API than checking out? here is an easy JUnit 5 check for the HelloController illustration from above:

    package demo; import static org.junit.jupiter.api.Assertions.assertEquals; import org.junit.jupiter.api.verify; import io.micronaut.http.client.HttpClient; import io.micronaut.http.client.annotation.client; import io.micronaut.check.extensions.junit5.annotation.MicronautTest; @MicronautTest public category HelloControllerTest @verify void testHello(@customer("/") HttpClient customer) var message = customer .toBlocking() .retrieve("/hi there/John"); assertEquals("hiya John", message);

    The above examine injects Micronaut’s HTTP customer and sends a GET request to the /hi there/John URI, putting forward the outcomes is suitable.

    some of the large merits of the Micronaut framework is executing a verify such as the one above is extraordinarily quick and rivals usual unit exams. notwithstanding the @MicronautTest annotation starts the Micronaut server and the verify executes a completely HTTP request/response cycle, the check execution speed doesn’t undergo. There is no deserve to be taught an intensive mocking API for the HTTP server! This encourages developers to write extra integration exams that deliver colossal long-term maintainability and code exceptional benefits.

    having access to a Database

    accessing a database is such a common pastime in server-side functions that many frameworks supply simplifications to Improve developer productiveness in this enviornment. The Micronaut framework is no diverse.

    Micronaut data is a database access toolkit with a twist, although: Leveraging integration with the Micronaut compiler, Micronaut data provides compilation-time checking and build-time computation of database queries to increase runtime efficiency.

    a lot like Spring facts JPA, Micronaut facts allows you to specify Java interfaces the usage of the repository demo that instantly enforce database queries for you at compilation time.

    Micronaut data performs a compilation-time analysis on the method signatures of a repository interface and implements the interface if it can. otherwise, a compilation error will occur.

    Micronaut records supports several distinctive databases and query formats, including:

  • Hibernate and JPA - which you can use JPA and Hibernate, and Micronaut records JPA computes JPA queries throughout compilation (as described above).
  • JDBC and SQL - for people that pick uncooked SQL and a simple information mapper in place of Object Relational Mapping (ORM), Micronaut information JDBC gives an easy solution to study and write Java 17+ information and POJOs from and to a relational database.
  • MongoDB - as the most latest addition, Micronaut data MongoDB integrates directly with the MongoDB driver to encode objects to and from BSON in a completely reflection-free method using Micronaut Serialization.
  • R2DBC - in response to Netty, the Micronaut framework features a reactive, non-blockading core. that you can write SQL functions that evade blockading end-to-conclusion through combining the Micronaut Netty server with the Reactive Database Connectivity (R2DBC) specification and a supported database.
  • Oracle Coherence - A allotted data grid for big scale, Coherence aspects committed integration with Micronaut information to with no trouble implement repositories backed through a Coherence cluster.
  • masking all of the distinctive database entry options in the Micronaut framework can be an editorial series by itself. happily, there are some unbelievable guides on the discipline: take a look at “having access to a Database with Micronaut facts JDBC” or “gaining access to a Database with Micronaut data Hibernate/JPA” for assist with getting begun. 

    a private favourite of mine is Micronaut facts JDBC, which is a simple records mapper for JDBC. it's in keeping with compilation-time bean introspections, which get rid of reflection altogether from the persistence layer. 

    once you have configured your Gradle or Maven build to include Micronaut records JDBC, you could create Java 17 statistics that map to database tables, views, or query effects. that's different from JPA, which encourages having a one-to-one mapping between a Java type and a table and fully modeling the schema by using associations. These associations introduce ideas corresponding to lazy loading that frequently cause efficiency challenges (such as the infamous N+1 selects problem). here is an example list definition:

    package demo; import io.micronaut.core.annotation.Nullable; import io.micronaut.data.annotation.GeneratedValue; import io.micronaut.facts.annotation.identification; import io.micronaut.records.annotation.MappedEntity; @MappedEntity public record grownup( @identity @GeneratedValue @Nullable lengthy identity, String firstName, String lastName, int age )

    you could then outline repository logic in interfaces that enforce nearly all of the regular common sense required to construct an utility. for example:

    equipment demo; import java.util.checklist; import io.micronaut.facts.jdbc.annotation.JdbcRepository; import io.micronaut.records.mannequin.question.builder.sql.Dialect; import io.micronaut.statistics.repository.CrudRepository; @JdbcRepository(dialect=Dialect.H2) public interface PersonRepository extends CrudRepository<adult, long> person findByAgeGreaterThan(int age); checklist<grownup> findByLastNameStartsWith(String str);

    The above instance offers a full set of create, study, update, and delete operations (CRUD) via the CrudRepository super interface. It additionally defines customized queries using the supported query expressions.

    if in case you have any custom requirements that need extra advanced use cases, which you could write customized queries, criteria queries, or write JDBC good judgment at once to bind the effects. Micronaut information JDBC makes it a breeze whereas being fully freed from reflection and runtime-generated proxies. There is no idea of state and session synchronization like in JPA, which helps preserve your utility tremendous lightweight and performs excellently with GraalVM Native image.

    furthermore, every repository interface is checked at compilation time. This prevents repository methods that query non-present properties or use an unsupported return class, preserving the category defense of Java while enabling such an awesome dynamic feature.

    building a local Executable

    The Micronaut framework changed into first released before GraalVM changed into publicly purchasable. nonetheless, a herbal synergy developed between these two first rate applied sciences primarily as a result of the ease with which the Native picture part of GraalVM can turn a Micronaut software into a local executable.

    GraalVM Native photograph has brilliant assist for reflection, runtime proxies, and dynamic class loading in Java. youngsters, the developer does deserve to supply Native photo with the configuration critical to declare when and where these usages turn up. but with the Micronaut framework, there is not any should declare these usages seeing that a Micronaut software doesn’t use any of these concepts on the framework degree! That makes the closed-world evaluation during the ahead-of-Time Compilation (AOT) an awful lot less demanding for GraalVM Native graphic.

    Of route, if you engage a 3rd-birthday party library that does rely on reflection, then you definately would deserve to declare the usage. nonetheless it helps a very good deal that almost all of cases within the framework you are using are reflection-free.

    The Micronaut Gradle and Micronaut Maven plugins leverage the brilliant GraalVM Native construct tools project with the aid of Oracle Labs to help simplify building native executables. So building a native executable with Gradle is as simple as:

    ./gradlew nativeCompile

    The equal for Maven is:

    ./mvnw equipment -Dpackaging=native-picture

    either command will produce a native executable for the platform they run on within the construct directory of each tool.

    operating the native executable will reveal the primary large advantage of going native:

    ./demo __ __ _ _ | \/ (_) ___ _ __ ___ _ __ __ _ _ _| |_ | |\/| | |/ __| '__/ _ \| '_ \ / _` | | | | __| | | | | | (__| | | (_) | | | | (_| | |_| | |_ |_| |_|_|\___|_| \___/|_| |_|\__,_|\__,_|\__| Micronaut (v3.4.0) [main] data io.micronaut.runtime.Micronaut - Startup achieved in 23ms. Server working: http://localhost:8080

    Startup time is reduced to mere milliseconds (23 ms within the illustration above), and reminiscence consumption drops vastly. With such a tremendous discount, it is possible to installation Micronaut applications to environments with extra restrained reminiscence constraints or in cases the place startup time is essential (serverless workloads, as an example).

    be aware that further research is ongoing to supply much more giant improvements in the course of the Micronaut AOT mission, developed at Oracle Labs. It runs an additional static analysis step on the byte code just before constructing the native executable to optimize and dispose of dead code paths and function projects similar to converting YAML to Java to stay away from needing a YAML parser at runtime.

    constructing for the Cloud

    past Native image, the Micronaut framework supports a few different packaging formats and deployment aims, together with:

  • a normal runnable JAR with ./gradlew assemble or ./mvnw package.
  • Docker photos with ./gradlew dockerBuild or ./mvnw package -Dpackaging=docker
  • Docker photos containing a native executable from GraalVM Native photograph with ./gradlew dockerBuildNative or ./mvnw equipment -Dpackaging=docker-native
  • custom AWS Lambda runtimes can also be developed to set up a Micronaut application to the serverless platform.
  • wide integration with Kubernetes exists for simplifying deployments to Kubernetes.
  • standard, the Micronaut framework grants a feature set that makes it a superb choice for building Cloud Native Java purposes, from dispensed configuration help to integrated provider discovery to modules that provide implementations of normal abstractions for cloud suppliers similar to AWS, Google Cloud, Azure, and Oracle Cloud. These abstractions be sure your purposes stay transportable among cloud suppliers.  

    abstract

    The Micronaut framework added a breath of sparkling air into server-side Java workloads. It provides an ingenious compilation-time method and have set that make it a fine candidate for building modern Cloud Native Java functions. 

    close integration with GraalVM Native picture and a working relationship with the GraalVM team at Oracle Labs skill significant improvements have persisted to appear with projects comparable to Micronaut AOT and Micronaut Serialization (a mirrored image-free option to Jackson Databind).

    A vivid neighborhood has emerged around the Micronaut framework with a large number of modules materializing that Improve developer productiveness, together with Micronaut records which contains key integrations with database applied sciences.

    neighborhood feedback continues to pressure the construction of the framework. therefore you probably have any feedback, please don’t hesitate to share concepts for brand spanking new points and improvements by means of the Micronaut community.

    this text is a component of the article sequence "Native Compilations Boosts Java". that you would be able to subscribe to receive notifications about new articles during this collection by means of RSS.

    Java dominates enterprise functions. but in the cloud, Java is more expensive than some rivals. Native compilation with GraalVM makes Java in the cloud more cost-effective: It creates purposes that start a whole lot faster and use much less memory.

    So native compilation raises many questions for all Java users: How does native Java change building? When should they swap to native Java? When may still they no longer? And what framework may still they use for native Java? This collection will provide answers to those questions.


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