eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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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.

Get started with mocking and improve your application tests using our Mockito guide:

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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:

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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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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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

>> LEARN SPRING
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:

>> The New “REST With Spring Boot”

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:

>> Learn Spring Security

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.

Get started with Spring Data JPA through the guided reference course:

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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.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of 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

eBook – Java Concurrency – NPI (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

 1. Overview

Multithreading and parallel processing are crucial concepts in modern application development. In Java, the Executor framework provides a way to manage and control the execution of concurrent tasks efficiently. The ExecutorService interface is at the core of this framework, and it provides two commonly used methods for submitting tasks to be executed: submit() and execute().

In this article, we’ll explore the key differences between these two methods. We’ll look at both submit() and execute() using a simple example where we want to simulate a task of calculating the sum of numbers in an array using a thread pool.

2. Usage of ExecutorService.submit( )

Let’s start with the submit() method first which is widely used in the ExecutorService interface. It allows us to submit tasks for execution and returns a Future object that represents the result of the computation.

This Future then allows us to obtain the result of the computation, handle exceptions that occur during task execution, and monitor the status of the task. We can call get() in the Future to retrieve the result or exceptions.

Let’s start by initializing the ExecutorService:

ExecutorService executorService = Executors.newFixedThreadPool(2);

Here, we’re initializing the ExecutorService with a fixed thread pool of size 2. This creates a thread pool that utilizes a fixed number of threads operating off a shared unbounded queue. In our case, at any point, at most two threads will be active processing tasks. If more tasks are sent while all existing tasks are being processed, they will be held in the queue until a processing thread becomes free.

Next, let’s create a task using Callable:

Callable<Integer> task = () -> {
    int[] numbers = {1, 2, 3, 4, 5};
    int sum = 0;
    for (int num : numbers) {
        sum += num;
    }
    return sum;
};

Importantly, here, the Callable object represents the task that returns a result and may throw an exception. In this case, it represents a task that another thread can execute and return a result or may throw exceptions. This Callable calculates the sum of integers in an array and returns the result.

Now that we’ve defined the task as Callable, let’s submit this task to the ExecutorService:

Future<Integer> result = executorService.submit(task);

Simply put, the submit() method takes the Callable task and submits it for execution by the ExecutorServiceIt returns a Future<Integer> object that represents the future result of the computation. Overall, executorService.submit() is a way to asynchronously execute a Callable task using ExecutorService allowing for concurrent execution of tasks and obtaining their results via the returned Future

Finally, let’s check the result:

try {
    int sum = result.get();
    System.out.println("Sum calculated using submit:" + sum);
} catch (InterruptedException | ExecutionException e) {
    e.printStackTrace();
}

Here, get() retrieves the result of the task execution. In this case, it fetches the sum calculated by the task and prints it. However, it’s important to note that the get() method is a blocking call and waits if the result isn’t available yet, potentially causing the thread to pause until the result is ready. It can also throw exceptions like InterruptedException or ExecutionException if the computation encounters issues while running.

Finally, let’s shut down the ExecutorService:

executorService.shutdown();

This shuts down the ExecutorService after the task has completed execution and releases any resources used by the service.

3.  Usage of ExecutorService.execute( )

The execute() method is a simpler method, defined in the Executor interface which is a parent interface of ExecutorService. It’s used to submit tasks for execution but doesn’t return a Future. This means that we cannot obtain the result of the task or handle exceptions directly through the Future object.

It’s suitable for scenarios where we don’t need to wait for the result of the task and we don’t expect any exceptions. These tasks are executed for their side effect.

Like before, we’ll create an ExecutorService with a fixed thread pool of 2.  However, we’ll create a task as Runnable instead:

Runnable task = () -> {
    int[] numbers = {1, 2, 3, 4, 5};
    int sum = 0;
    for (int num : numbers) {
        sum += num;
    }
    System.out.println("Sum calculated using execute: " + sum);
};

Importantly, the task doesn’t return any result; it simply calculates the sum and prints it inside the task. We’ll  now submit the Runnable task to the ExecutorService:

executorService.execute(task);

This remains an asynchronous operation, indicating that one of the threads from the thread pool executes the task.

4. Conclusion

In this article, we looked at the salient features and usages of submit() and execute() from the ExecutorService interface. In summary, both of these methods offer a way to submit tasks for concurrent execution, but they differ in their handling of task results and exceptions.

The choice between submit() and execute() depends on specific requirements. If we need to obtain the result of a task or handle exceptions, we should use submit(). On the other hand, if we have a task that doesn’t return a result and we want to fire it and forget it, execute() is the right choice.

Moreover, if we’re working with a more complex use case and need the flexibility to manage tasks and retrieve results or exceptions, submit() is the better choice.

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:

>> Explore a clean Baeldung

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:

>> Join Pro and download the eBook

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

Explore the eBook

Course – LS – NPI EA (cat=REST)

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

>> CHECK OUT THE COURSE

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 – Java Concurrency – NPI (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 Jackson – NPI EA – 3 (cat = Jackson)