Skip to main content
AI
  • Get started with AI

    • Red Hat AI

      Accelerate the development and deployment of enterprise AI solutions.

    • AI learning hub

      Explore learning materials and tools, organized by task.

    • AI interactive demos

      Click through scenarios with Red Hat AI, including training LLMs and more.

    • AI/ML learning paths

      Expand your Red Hat OpenShift AI knowledge using these learning resources.

    • AI quickstarts

      Focused AI use cases designed for fast deployment on Red Hat AI platforms.

    • No-cost AI training

      Foundational Red Hat AI training.

  • Featured resources

    • Red Hat OpenShift AI
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

Red Hat AI Factory with NVIDIA

Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.

Learn
  • Self-guided

    • Documentation

      Find answers, get step-by-step guidance, and learn how to use Red Hat products.

    • Learning paths

      Explore curated walkthroughs for common development tasks.

    • Guided learning

      Receive custom learning paths powered by our AI assistant.

    • See all learning
  • Hands-on

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

    • Interactive labs

      Learn by doing in these hands-on, browser-based experiences.

    • Interactive demos

      Click through product features in these guided tours.

  • Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics
  • Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
Build
  • Get started

    • Red Hat build of Podman Desktop

      A downloadable, local development hub to experiment with our products and builds.

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

  • Download products

    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products
  • Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset
  • References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
Community
  • Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions
  • Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github
  • Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

Join the Red Hat Developer program

Download Red Hat products and project builds, access support documentation, learning content, and more.

ConsoleDocsSupport Search
New For you

Recommended

We'll recommend resources you may like as you browse. Try these suggestions for now.

  • Product downloads
  • Cheat sheets
  • Red Hat Developer learning portal
  • Developer blog
  • E-books
  • Developer Sandbox
Log in

Get more with a Red Hat Developer account

  • Product downloads
  • Console access
  • Event registration
  • Training & trials
Explore more account benefitsLog in or register

A subscription may be required for some services.

Contact us

Writing better Spring applications using SpringFu

December 12, 2018
Faisal Masood
Related topics:
KubernetesJavaSpring Boot
Related products:
Red Hat OpenShift Container Platform

    "Truth can only be found in one place: the code," Robert C. Martin, Clean Code: A Handbook of Agile Software Craftsmanship.

    The way we structure our code has a direct impact on how understandable is it. Code that is easy to follow with no or less hidden functionality is much easier to maintain. It also makes it easier for our fellow programmers to track down bugs in the code. This helps us to avoid Venkat's Jesus Driven Development.

    The way I write Spring applications comprises heavy use of Spring annotations. The problem with this approach is that partial flow of the application is controlled by annotations. The complete flow of my code is not in one place, that is, in my code. I need to look back to the documentation to understand the annotations' behavior. By reading just the code, it is difficult to predict the flow of control.

    Luckily, Spring has a new way to code to and it has been called Spring Functional or SpringFu. In this article, I will use Kotlin to showcase some of the benefits you get from SpringFu.

    SpringFu to the rescue

    Let's start with a simple Spring-based application using the annotations approach. The first annotation we meet is @SpringBootApplication and it does many things. Surely this information is not captured in the code when you use this annotation, as you can see in the "Code with annotations" section below. When we proceed further in the code with annotations, @RestController does a series of things which further complicates the readability of code with respect to the control flow.

    @RequestMapping, @Autowired, and @Component all add up to the problem I mentioned above. Spring has to use reflection, Kotlin open classes, and all kind of facilities to make this code (magic) work. What if my goal is to read the code—and only the code—to understand the control flow.

    Reducing the usage of reflection will also help us in moving towards GraalVM based native code. First, take a look at the code with annotations below and see if you can get the flow of control. You can get a full example at my GitHub repository.

    Code with annotations

    @SpringBootApplication
    class SpringWithAnnotationsApplication
      fun main(args: Array<String>) {
        runApplication<SpringWithAnnotationsApplication>(*args)
      }
    
    @RestController
    @RequestMapping("/events")
    class EventHandler {
      @Autowired
      lateinit var eventService: EventService
    
      @GetMapping("/")
      fun getAllEvents () : List<Event> {
        return eventService.getAllEvents()
      }
    }
    
    @Component
    class EventService {
      fun getAllEvents() : List<Event>{
        return listOf(
                      Event(name = "event1", description = "desc1"),
                      Event(name = "event2", description = "desc2")
                     )
      }
    }
    
    data class Event (val name: String, val description: String)

    Visit Stack Overflow (some say Stack Overflow is the true technical lead) and you can find many questions about the right way to use annotations. The number and variety of questions will give you an idea of how important code readability is.

    "Programs must be written for people to read, and only incidentally for machines to execute," Abelson and Sussman.

    Code with no annotations

    Now let's try to write the same code using the SpringFu approach. The code is more readable and I can follow the full flow by just reading it. The flow of the code below is as follows.

    • I have a main function which loads my appSimple DSL.
    • The AppSimple DSL imports the Spring beans (which I have loaded in the eventBeans DSL) and configures what the server should do using the eventRoutes DSL.

    //create an application
    //remember no @SpringBootApplication
    fun main(args: Array<String>) {
      appSimple.run()
    }
    
    //using the application dsl, i define what my service will listen to
    val appSimple = application {
      //use the beans i define
      import(eventBeans)
      
      //http server listens for this endpoint
      server {
        import(::eventRoutes)
        codecs {
          jackson()
        }
      }
    }
    
    //define beans
    val eventBeans = beans {
      bean<EventService>()
      bean<EventHandler>()
    }
    
    //define on what endpont i would be listening
    //@RestController
    //@RequestMapping("/events")
    //@GetMapping("/")
    fun eventRoutes(handler: EventHandler) = router {
      "/events".nest {
        GET("/", handler::generateResponse)
      }
    }
    
    //create the handler for http request
    class EventHandler(private val eventService: EventService) {
      fun generateResponse(request: ServerRequest) = ServerResponse.ok().body(
        BodyInserters.fromObject(eventService.getAllEvents())
      )
    }
    
    //business logic
    // no need to @Component
    class EventService {
      fun getAllEvents(): List<Event> {
        return mutableListOf(
                             Event(name = "event1", description = "desc1"),
                             Event(name = "event2", description = "desc2")
        )
      }
    }
    
    data class Event(val name: String, val description: String)

    No need to open classes

    When using annotations, we need to make all classes open in order for Spring to work. See the pom.xml section below from the code. With SpringFu, final classes  are acceptable. Note the usage of the kotlin-maven-plugin below showcasing the use of automatically opening all the classes. This is some additional logic outside of my code and makes things difficult to read.

    <plugin>
      <artifactId>kotlin-maven-plugin</artifactId>
      <groupId>org.jetbrains.kotlin</groupId>
      <configuration>
        <args>
          <arg>-Xjsr305=strict</arg>
        </args>
        <compilerPlugins>
          <plugin>spring</plugin>
        </compilerPlugins>
      </configuration>
      <dependencies>
        <dependency>
          <groupId>org.jetbrains.kotlin</groupId>
          <artifactId>kotlin-maven-allopen</artifactId>
          <version>${kotlin.version}</version>
        </dependency>
      </dependencies>
    </plugin>

    Conclusion

    SpringFu is an exciting new project that enables us to write cleaner, more-readable code and offers more control for Spring-based applications. It builds on your existing Java/Kotlin knowledge, which makes the task of learning it a bit easier. One of the exciting goals is to able to write native applications using GraalVM. Be aware that some of the SpringFu components are not production-ready yet.

    Kotlin is an exciting new programming language especially if you are coming from a Java background. You can start your Kotlin journey by attending this coursera course.

    In addition, you might find these other Spring articles helpful.

    Last updated: January 29, 2019

    Recent Posts

    • A day in the life of an NVIDIA H100 on Red Hat OpenShift 5

    • Migrate BuildConfigs to builds for Red Hat OpenShift with one plug-in install

    • Run Red Hat Enterprise Linux CoreOS on NVIDIA BlueField DPUs

    • Agent harness engineering: Separating model capabilities from enforcement

    • What's new for developers in Red Hat Enterprise Linux 10.3 and 9.9

    Red Hat Developers logo

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    Red Hat Developer

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility
    Ask AI