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 Streams – NPI (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

1. Overview

In this short tutorial, we’ll have a quick look at intermediate and terminal operations in Java Streams, some of the ways of creating an empty Stream, and how to check for an empty Stream.

2. Streams and Stream Operations

The Stream API is one of the major features of Java 8. A Stream is a sequence of elements on which we can iterate and perform operations.

Stream operations are specifically divided into two types – intermediate and terminal. The intermediate and terminal operations can be chained together to form a stream pipeline.

Terminal operations, as the name suggests, appear at the end of a stream pipeline and return a result such as distinct() or create a side effect such as forEach().

On the other hand, intermediate operations, such as sorted(), transform a Stream into another Stream. Therefore, we can chain multiple intermediate operations.

Any of the terminal or intermediate operations don’t actually change the source of the Stream but produce a result. Also, the intermediate operations are performed in a lazy manner; The computations are performed only after initiating a terminal operation.

Let’s look at an example:

Stream<Integer> numbers = Stream.of(1, 2, 3, 4, 5, 6);

int sumOfEvenNumbers = numbers
  .filter(number -> number%2 == 0)
  .reduce(0, Integer::sum);

Assert.assertEquals(sumOfEvenNumbers, 12);

Here, we have created a Stream of integers. We’ve used an intermediate operation filter() that creates another Stream of even numbers. Finally, we’ve used the terminal operation reduce() to get the sum of all the even numbers.

3. Creating an Empty Stream in Java

Sometimes, we may need to pass a Stream as a parameter to methods or return one from a method. An empty Stream is useful to handle NullPointerExceptions. Moreover, some of the Stream operations, such as findFirst(), findAny(), min(), and max(), check for empty Stream and return the results accordingly.

There are multiple ways of creating Streams. Consequently, there’re multiple ways to create an empty Stream too.

To start with, we can simply use the empty() method of class Stream:

Stream<String> emptyStream = Stream.empty();

The empty() method returns an empty sequential Stream of type String.

We can also create an empty Stream of any type using the of() method. The of() method returns a sequential ordered Stream containing the elements that are passed as parameters to it. If we don’t pass any parameter, it returns an empty Stream:

Stream<String> emptyStr = Stream.of();

Similarly, we can create a Stream of primitive types using IntStream:

IntStream intStream = IntStream.of(new int[]{});

The Arrays class has a method stream() that accepts an array as a parameter and returns a Stream of the same type as that of the parameter. We can use this to create an empty Stream by passing an empty array as a parameter:

IntStream emptyIntStream = Arrays.stream(new int[]{});

Finally, we can use the stream() method of a Collection such as a List or Set to create an empty Stream. An empty collection would create an empty Stream:

Stream<Integer> emptyIntStream = new ArrayList<Integer>().stream();

4. Checking for an Empty Stream

We can check for an empty Stream by simply using one of the short-circuiting terminal operations such as findFirst() or findAny():

Stream<String> emptyStream = Stream.empty();
assertTrue(emptyStream.findAny().isEmpty());

Here, findFirst() returns an empty Optional if the stream is empty. We then check for the presence of a value in the Optional. Since the Stream is empty, no value is present in the Optional, and it returns false.

However, we must remember that we can operate upon a Stream only once. If we reuse the Stream, we may encounter an IllegalStateException saying:

IllegalStateException: stream has already been operated upon or closed.

Therefore, we’re only allowed to perform a single operation that consumes a Stream. If we want to reuse the Stream, we must handle this IllegalStateException.

To solve this problem, we can create a new Stream using the Supplier functional interface whenever we need to check for its emptiness:

Supplier<Stream<Integer>> streamSupplier = Stream::of;

Optional<Integer> result1 = streamSupplier.get().findAny();
assertTrue(result1.isEmpty());
Optional<Integer> result2 = streamSupplier.get().findFirst();
assertTrue(result2.isEmpty());

Here, we’ve first defined an empty Stream. Then we’ve created a streamSupplier object with the type Stream<Integer>. Thus, each call to the get() method returns a new empty Stream object on which we can safely perform another Stream operation.

5. Conclusion

In this quick article, we saw some of the ways of creating empty Streams in Java. We also explored how to check if a Stream is empty and how to reuse the Stream multiple times while avoiding the famous IllegalStateException that is thrown when the Stream is already closed or operated upon.

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?

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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:

>> 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 Streams – NPI (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 Jackson – NPI EA – 3 (cat = Jackson)