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:

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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:

>> 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

Threads and the Executor Framework are two mechanisms used to execute code in parallel in Java. This improves the performance of the application. The Executor Framework provides different kinds of thread pools. One of the pools comprises just a single worker thread.

In this tutorial, we’ll learn the difference between a thread and an executor service having a single worker thread.

2. Thread

A thread is a lightweight process having a separate path of execution. It’s used to execute tasks in parallel. Thus, there can be multiple threads running simultaneously without interfering with each other.

A Thread object executes Runnable tasks.

Let’s see how we can create threads. We can create threads either by extending the Thread class or by implementing the Runnable interface.

Let’s create a thread by extending the Thread class:

public class CustomThread extends Thread {
    // override the run() method to provide custom implementation

    public static void main(String[] args) { 
        CustomThread t1 = new CustomThread();
        t1.start(); 
    } 
}

In the above example, CustomThread class extends the Thread class. And in the main() method, we’ve created the object of CustomThread class and then called its start() method. It begins the execution of the thread.

Now let’s look at an example of creating a thread by implementing the Runnable interface:

public class TestClass implements Runnable {
    // implement the run() method of Runnable interface
   
    public static void main(String[] args) {
        TestClass testClassRef = new TestClass();
        Thread t1 = new Thread(testClassRef);
        t1.start();
    }
}

In the example above, TestClass implements the Runnable interface. We pass the reference of the TestClass object in the constructor of the Thread class. And then, we call the start() method. This, in turn, calls the run() method implemented by TestClass.

3. Executor Framework

Now we’ll learn about the Executor Framework. It was introduced in JDK 1.5. It’s a multi-threading framework that maintains a pool of worker threads and manages them. The tasks are submitted in a queue and are then executed by these worker threads.

It removes the overhead of creating threads explicitly in the code. Instead, it reuses the threads in the pool for executing tasks asynchronously.

Let’s now look at different kinds of thread pools maintained by the Executor Framework.

3.1. Fixed Thread Pool

This pool contains a fixed number of threads. We specify the number of threads during the creation of the pool. If an exception occurs and a thread is terminated, a new one gets created.

Let’s see how to create a fixed thread pool:

ExecutorService executorService = Executors.newFixedThreadPool(5);

In the above code snippet, we created a fixed thread pool with five worker threads.

3.2. Cached Thread Pool

This thread pool creates new threads when required. If no thread is available to execute the submitted task, then a new thread will be created.

Here’s how we create a cached thread pool:

ExecutorService executorService = Executors.newCachedThreadPool();

In the cached thread pool, we don’t mention the pool size. This is because it creates new threads when none are available to execute the submitted task. It also reuses already created threads when they’re available.

3.3. Scheduled Thread Pool

This thread pool runs tasks after a given delay or periodically.

Here’s how we can create a scheduled thread pool:

ScheduledExecutorService executorService = Executors.newScheduledThreadPool(5);

In the above code snippet, the integer parameter is the core pool size. It represents the number of threads to keep in the pool, even if they’re idle.

3.4. Single Thread Pool

This pool consists of just one thread. It executes the submitted tasks sequentially. If an exception occurs and the thread gets terminated, a new one is created.

Below code snippet shows how to create a single thread pool:

ExecutorService executorService = Executors.newSingleThreadExecutor();

Here, the Executors class’s static method newSingleThreadExecutor() creates ExecutorService consisting of a single worker thread.

4. Thread vs. Single Thread Executor Service

We may wonder if a single thread pool ExecutorService contains just one thread, then how it’s different from creating a thread explicitly and using it to execute the task.

Let’s now explore the differences between a thread and an executor service with just one worker thread and when to use which.

4.1. Task Handling

Threads can only handle Runnable tasks, whereas a single thread executor service can execute both Runnable and Callable tasks. Therefore, using this, we can also run tasks that can return some value.

The submit() method in the ExecutorService interface takes either a Callable task or a Runnable task and returns a Future object. This object represents the result of an asynchronous task.

Also, a thread can handle just one task and exit. But a single thread executor service can handle a series of tasks and executes them sequentially.

4.2. Thread Creation Overhead

There is an overhead involved in creating threads. For instance, JVM needs to allocate memory. It impacts performance when threads are created repeatedly in the code. But in the case of a single thread executor service, the same worker thread is reused. Therefore, it prevents the overhead of creating multiple threads.

4.3. Memory Consumption

Thread objects take a significant amount of memory. Therefore, if we create threads for each asynchronous task, it can lead to OutOfMemoryErrorBut in a single thread executor service, the same worker thread is reused, which leads to less memory consumption.

4.4. Release of Resources

A thread releases resources once its execution completes. But in the case of executor service, we need to shut down the service or the JVM won’t be able to shut down. Methods like shutdown() and shutdownNow() shutdown the executor service.

5. Conclusion

In this article, we learned about threads, the Executor Framework, and different kinds of thread pools. We also saw differences between a thread and the single thread executor service.

We learned that if there’s any repeated job or if there are many asynchronous tasks, then the executor service is a 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:

>> Download the eBook

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)