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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Maven – NPI EA (cat = Maven)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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Course – LJB – NPI EA (cat = Core Java)
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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Overview

In this tutorial, we’ll discuss the Callable and Supplier functional interfaces, which are similar in structure but different in use.

Both return a typed value and don’t take any argument. The execution context is the discriminant that determines the differences.

In this tutorial, we’ll focus on the context of asynchronous tasks.

2. Model

Before we begin, let’s define a class:

public class User {

    private String name;
    private String surname;
    private LocalDate birthDate;
    private Integer age;
    private Boolean canDriveACar = false;

    // standard constructors, getters and setters
}

3. Callable

Callable is an interface introduced in version 5 of Java and evolved as a functional interface in version 8.

Its SAM (Single Abstract Method) is the method call() that returns a generic value and may throw an exception:

V call() throws Exception;

It’s designed to encapsulate a task that should be executed by another thread, such as the Runnable interface. That’s because Callable instances can be executed via ExecutorService.

So let’s define an implementation:

public class AgeCalculatorCallable implements Callable<Integer> {

    private final LocalDate birthDate;

    @Override
    public Integer call() throws Exception {
        return Period.between(birthDate, LocalDate.now()).getYears();
    }

    // standard constructors, getters and setters
}

When the call() method returns a value, the main thread retrieves it to do its logic. For this, we can use Future, an object that tracks and obtains the value upon completion of a task executed on another thread.

3.1. Single Task

Let’s define a method that executes only one asynchronous task:

public User execute(User user) {
    ExecutorService executorService = Executors.newCachedThreadPool();
    try {
        Future<Integer> ageFuture = executorService.submit(new AgeCalculatorCallable(user.getBirthDate()));
        user.setAge(ageFuture.get());
    } catch (ExecutionException | InterruptedException e) {
        throw new RuntimeException(e.getCause());
    }
    return user;
}

We can rewrite the internal block of the submit() via lambda expression:

Future<Integer> ageFuture = executorService.submit(
  () -> Period.between(user.getBirthDate(), LocalDate.now()).getYears());

When we try to access the return value by invoking the get() method, we have to handle two checked exceptions:

  • InterruptedException: thrown when an interruption occurred while the thread is sleeping, active, or occupied
  • ExecutionException: thrown when a task is aborted by throwing an exception. In other words, it’s a wrapper exception, and the real exception that aborted the task is the cause (and it can be inspected using the getCause() method).

3.2. Chain of Tasks

Executing a task belonging to a chain depends on the state of the previous tasks. If one of these fails, the current task can’t be executed.

So let’s define a new Callable:

public class CarDriverValidatorCallable implements Callable<Boolean> {

    private final Integer age;

    @Override
    public Boolean call() throws Exception {
        return age > 18;
    }
    // standard constructors, getters and setters
}

Next, let’s define a chain of tasks where the second task has the result of the previous task as an input parameter:

public User execute(User user) {
    ExecutorService executorService = Executors.newCachedThreadPool();
    try {
        Future<Integer> ageFuture = executorService.submit(new AgeCalculatorCallable(user.getBirthDate()));
        Integer age = ageFuture.get();
        Future<Boolean> canDriveACarFuture = executorService.submit(new CarDriverValidatorCallable(age));
        Boolean canDriveACar = canDriveACarFuture.get();
        user.setAge(age);
        user.setCanDriveACar(canDriveACar);
    } catch (ExecutionException | InterruptedException e) {
        throw new RuntimeException(e.getCause());
    }
    return user;
}

Using Callable and Future in a chain of tasks has some problems:

  • Each task in the chain follows the pattern “submit-get”. In a long chain, this produces verbose code.
  • When the chain is tolerant to a task failure, we should create a dedicated try/catch block.
  • When invoked, the get() method waits until the Callable returns a value. So the total execution time of the chain equals the sum of the execution time of all the tasks. But if the next task depends on the correct execution of only one previous task, the chain process is significantly slowed down.

4. Supplier

Supplier is a functional interface whose SAM (Single Abstract Method) is get().

It doesn’t take any argument, returns a value, and throws only unchecked exceptions:

T get();

One of the most frequent use cases of this interface is to defer the execution of some code.

The Optional class has a few methods that accept a Supplier as a parameter, such as Optional.or(), Optional.orElseGet().

So the Supplier is executed only when the Optional is empty.

We can also use it in an asynchronous computation context, specifically in the CompletableFuture API.

Some methods accept a Supplier as a parameter, such as the supplyAsync() method.

4.1. Single Task

Let’s define a method that executes only one asynchronous task:

public User execute(User user) {
    ExecutorService executorService = Executors.newCachedThreadPool();
    CompletableFuture<Integer> ageFut = CompletableFuture.supplyAsync(() -> Period.between(user.getBirthDate(), LocalDate.now())
      .getYears(), executorService)
      .exceptionally(throwable -> {throw new RuntimeException(throwable);});
    user.setAge(ageFut.join());
    return user;
}

In this case, a lambda expression defines the Supplier, but we may also define an implementation class. Thanks to the CompletableFuture, we have defined a template for the asynchronous operation, making it simpler to understand and easier to modify.

The join() method provides the return value of the Supplier.

4.2. Chain of Tasks

We can also develop a chain of tasks with the support of the Supplier interface and CompletableFuture:

public User execute(User user) {
    ExecutorService executorService = Executors.newCachedThreadPool();
    CompletableFuture<Integer> ageFut = CompletableFuture.supplyAsync(() -> Period.between(user.getBirthDate(), LocalDate.now())
      .getYears(), executorService);
    CompletableFuture<Boolean> canDriveACarFut = ageFut.thenComposeAsync(age -> CompletableFuture.supplyAsync(() -> age > 18, executorService))
      .exceptionally((ex) -> false);
    user.setAge(ageFut.join());
    user.setCanDriveACar(canDriveACarFut.join());
    return user;
}

Defining a chain of asynchronous tasks with the CompletableFutureSupplier approach may solve some problems introduced before with the FutureCallable approach:

  • Each task of the chain is isolated. So if the execution of a task fails, we can handle it via the exceptionally() block.
  • join() method doesn’t need to handle checked exceptions at compile time.
  • We can design an asynchronous task template, improving the status handling of each task.

5. Conclusion

In this article, we discussed the differences between Callable and Supplier interfaces, focusing on the context of asynchronous tasks.

The main difference at the interface design level is the checked exception thrown by the Callable

Callable was not meant for a functional context. It was adapted over time, and functional programming and checked exceptions don’t get along.

So any functional API (such as CompletableFuture API) always accepts Supplier rather than Callable.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook Jackson – NPI EA – 3 (cat = Jackson)