eBook – Guide Spring Cloud – NPI EA (cat=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.

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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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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:

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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:

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1. Overview

One significant new feature in Java 8 is the Stream API. Streams allow us to process elements conveniently from different sources, such as arrays or collections.

Further, using the Stream.collect() method with corresponding Collectors, we can repack the elements to different data structures like Set, Map, List, and so on.

In this tutorial, we’ll explore how to collect elements in a Stream into a TreeSet.

2. Collecting Into a TreeSet With Natural Ordering

Simply put, the TreeSet is a sorted Set. The elements in a TreeSet are ordered using their natural ordering or a provided Comparator.

We’ll first look at how to collect Stream elements using their natural ordering. Then, let’s focus on collecting elements using custom Comparator cases.

For simplicity, we’ll use unit test assertions to verify if we’ve got the expected TreeSet result.

2.1. Collecting Strings Into a TreeSet

Since String implements the Comparable interface, let’s first take String as an example to see how to collect them in a TreeSet:

String kotlin = "Kotlin";
String java = "Java";
String python = "Python";
String ruby = "Ruby";
TreeSet<String> myTreeSet = Stream.of(ruby, java, kotlin, python).collect(Collectors.toCollection(TreeSet::new));
assertThat(myTreeSet).containsExactly(java, kotlin, python, ruby);

As the test above shows, to collect Stream elements into a TreeSet, we just pass TreeSet‘s default constructor as a method reference or a lambda expression to the Collectors.toCollection() method.

If we execute this test, it passes.

Next, let’s see a similar example with a custom class.

2.2. Collecting Players With Their Natural Ordering

First, let’s have a look at our Player class:

public class Player implements Comparable<Player> {
    private String name;
    private int age;
    private int numberOfPlayed;
    private int numberOfWins;

    public Player(String name, int age, int numberOfPlayed, int numberOfWins) {
        this.name = name;
        this.age = age;
        this.numberOfPlayed = numberOfPlayed;
        this.numberOfWins = numberOfWins;
    }

    @Override
    public int compareTo(Player o) {
        return Integer.compare(age, o.age);
    }

    // getters are omitted
}

As the class above shows, our Player class implements the Comparable interface. Further, we’ve defined its natural ordering in the compareTo() method: player’s age.

So next, let’s create a few Player instances:

/*                          name  |  age  | num of played | num of wins
                           --------------------------------------------- */
Player kai = new Player(   "Kai",     26,       28,            7);
Player eric = new Player(  "Eric",    28,       30,           11);
Player saajan = new Player("Saajan",  30,      100,           66);
Player kevin = new Player( "Kevin",   24,       50,           49);

As we’ll use these four player objects for other demonstrations later, we put the code in a table-like format to easily check each player’s attribute values.

Now, let’s collect them in a TreeSet with their natural order and verify if we have the expected result:

TreeSet<Player> myTreeSet = Stream.of(saajan, eric, kai, kevin).collect(Collectors.toCollection(TreeSet::new));
assertThat(myTreeSet).containsExactly(kevin, kai, eric, saajan);

As we can see, the code is pretty similar to collecting strings into a TreeSet. Since Player‘s compareTo() method has specified the “age” attribute as its natural ordering, we verify the result (myTreeSet) with the players sorted by age ascending.

It’s worth mentioning that we’ve used AssertJ‘s containsExactly() method to verify the TreeSet contains precisely the given elements in order and nothing else.

Next, we’ll look at how to collect these players into a TreeSet using a customized Comparator.

3. Collecting Into a TreeSet With a Customized Comparator

We’ve seen Collectors.toCollection(TreeSet::new) allows us to collect elements in a Stream to a TreeSet in their natural ordering. The TreeSet provides another constructor that accepts a Comparator object as the argument:

public TreeSet(Comparator<? super E> comparator) { ... }

Therefore, if we want the TreeSet to apply a different ordering on the elements, we can create a Comparator object and pass it to the constructor mentioned above.

Next, let’s collect these players in a TreeSet by their number of wins instead of their ages:

TreeSet<Player> myTreeSet = Stream.of(saajan, eric, kai, kevin)
  .collect(Collectors.toCollection(() -> new TreeSet<>(Comparator.comparingInt(Player::getNumberOfWins))
));
assertThat(myTreeSet).containsExactly(kai, eric, kevin, saajan);

This time, we’ve used a lambda expression to create the TreeSet instance. Moreover, we’ve passed our own Comparator using Comparator.comparingInt() to the TreeSet‘s constructor.

Player::getNumberOfWins references the attribute’s value we need to compare players.

The test passes when we give it a run.

However, the required comparison logic is sometimes not as simple as just comparing an attribute’s value as the example shows. For example, we may need to compare the results of some additional calculations.

So finally, let’s collect these players in a TreeSet again. But this time, we want them to be sorted by their win rate (number of wins/number of played):

TreeSet<Player> myTreeSet = Stream.of(saajan, eric, kai, kevin)
  .collect(Collectors.toCollection(() -> new TreeSet<>(Comparator.comparing(player -> BigDecimal.valueOf(player.getNumberOfWins())
    .divide(BigDecimal.valueOf(player.getNumberOfPlayed()), 2, RoundingMode.HALF_UP)))));
assertThat(myTreeSet).containsExactly(kai, eric, saajan, kevin);

As the test above shows, we’ve used the Comparator.comparing(Function keyExtractor) method to specify the comparable sort key. In this example, the keyExtractor function’s a lambda expression, which calculates a player’s win rate.

Also, if we run the test, it passes. So we’ve got the expected TreeSet.

4. Conclusion

In this article, we’ve discussed through examples how to collect elements in a Stream into a TreeSet by their natural ordering and custom comparators.

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:

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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 – 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 – 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:

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