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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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:

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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.

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

1. Overview

Map is a common data type when we need to manage key-value associations. The LinkedHashMap is a popular choice, primarily known for preserving the insertion order. However, in many real-world scenarios, we often need to sort the elements of a LinkedHashMap based on their values rather than keys.

In this tutorial, we’ll explore how to sort a LinkedHashMap by values in Java.

2. Sorting by Value

The default behavior of a LinkedHashMap is to maintain the order of elements based on the insertion order. This is useful in cases where we want to keep track of the sequence in which elements were added to the map. However, sorting by values is a different requirement. We might like to arrange the entries in ascending or descending order based on the values associated with the keys.

Next, let’s see an example. Let’s say we have a LinkedHashMap called MY_MAP:

static LinkedHashMap<String, Integer> MY_MAP = new LinkedHashMap<>();
static {
    MY_MAP.put("key a", 4);
    MY_MAP.put("key b", 1);
    MY_MAP.put("key c", 3);
    MY_MAP.put("key d", 2);
    MY_MAP.put("key e", 5);
}

As the example above shows, we initialized MY_MAP using a static block. The values in the map are integers. Our goal is to sort the map by the values and get a new LinkedHashMap which is equal to EXPECTED_MY_MAP:

static LinkedHashMap<String, Integer> EXPECTED_MY_MAP = new LinkedHashMap<>();
static{
    EXPECTED_MY_MAP.put("key b", 1);
    EXPECTED_MY_MAP.put("key d", 2);
    EXPECTED_MY_MAP.put("key c", 3);
    EXPECTED_MY_MAP.put("key a", 4);
    EXPECTED_MY_MAP.put("key e", 5);
}

Next, we’ll see several approaches to solving the problem. We’ll use unit test assertions to verify each solution.

3. Using the Collections.sort() Method

First, let’s see how to solve the problem if our Java is older than Java 8.

LinkedHashMap’s entrySet() provides access to all entries while maintaining their original order.

We can also leverage the Collections.sort() method, which allows us to sort a collection of objects by a given Comparator.

Let’s look at the solution first:

List<Map.Entry<String, Integer>> entryList = new ArrayList<>(MY_MAP.entrySet());

Collections.sort(entryList, new Comparator<Map.Entry<String, Integer>>() {
    @Override
    public int compare(Map.Entry<String, Integer> o1, Map.Entry<String, Integer> o2) {
        return o1.getValue().compareTo(o2.getValue());
    }
});

LinkedHashMap<String, Integer> result = new LinkedHashMap<>();
for (Map.Entry<String, Integer> e : entryList) {
    result.put(e.getKey(), e.getValue());
}

assertEquals(EXPECTED_MY_MAP, result);

Let’s walk through the code quickly to understand how it works.

First, we wrap entrySet()’s result in a List. Then, we created an anonymous Comparator to sort the entries by their values and pass it to the Collections.sort() method. Finally, we create a new LinkedHashMap object and put the sorted entries into it.

4. Using forEachOrdered()

Stream API is a significant new feature that Java 8 brought us. It allows us to manipulate collections conveniently. Therefore, if the Java version we work with is 8 or later, we can fill an empty LinkedHashMap with sorted entries from the original map using the Stream API:

LinkedHashMap<String, Integer> result = new LinkedHashMap<>();
MY_MAP.entrySet()
  .stream()
  .sorted(Map.Entry.comparingByValue())
  .forEachOrdered(entry -> result.put(entry.getKey(), entry.getValue()));
assertEquals(EXPECTED_MY_MAP, result);

As we can see, using the Stream API, the solution is more fluent and compact.

It’s worth noting that Map.Entry supports the comparingByValue() method. As its name implies, it returns a Comparator that compares entries by their values.

As the Entry.value in our example is Integer, which is Comparable, we can just call comparingByValue() directly.

5. Using collect()

An alternative, more streamlined approach involves leveraging the collect() method to both create the map and accumulate the sorted entries in one shot:

LinkedHashMap<String, Integer> result = MY_MAP.entrySet()
  .stream()
  .sorted(Map.Entry.comparingByValue())
  .collect(LinkedHashMap::new, (map, entry) -> map.put(entry.getKey(), entry.getValue()), Map::putAll);
assertEquals(EXPECTED_MY_MAP, result);

The collect() method is the key to this approach. It takes three parameters:

  • Supplier (LinkedHashMap::new) – Provide a new container (LinkedHashMap) to accumulate the results
  • Accumulator ((map, entry) -> map.put(entry.getKey(), entry.getValue())) – This function is applied to each element in the stream and adds each entry to the accumulating LinkedHashMap
  • Combiner (Map::putAll) – In parallel processing, it combines the containers updated by multiple accumulators. In this case, it’s irrelevant, as the stream is processed sequentially.

Thus, collect() accumulates the sorted entries into a new LinkedHashMap.

6. When the Values Are Not Comparable

We’ve seen how to sort MY_MAP by value. Since the Integer value is Comparable, when we use Stream API, we can simply call sorted(Map.Entry.comparingByValue()). 

But, if the value is not Comparable, we need to pass a Comparator to comparingByValue():

class Player {
    private String name;
    private Integer score = 0;

    public Player(String name, Integer score) {
        this.name = name;
        this.score = score;
    }

    // ... hashcode, equals, getters methods are omitted ...
}

As the code shows, the Player class doesn’t implement ComparableNow, let’s initialize a LinkedHashMap<String, Player>:

static LinkedHashMap<String, Player> PLAYERS = new LinkedHashMap<>();
static {
    PLAYERS.put("player a", new Player("Eric", 9));
    PLAYERS.put("player b", new Player("Kai", 7));
    PLAYERS.put("player c", new Player("Amanda", 20));
    PLAYERS.put("player d", new Player("Kevin", 4));
}

Let’s say we would like to sort PLAYERS by players’ scores and get a new LinkedHashMap:

static LinkedHashMap<String, Player> EXPECTED_PLAYERS = new LinkedHashMap<>();
static {
    EXPECTED_PLAYERS.put("player d", new Player("Kevin", 4));
    EXPECTED_PLAYERS.put("player b", new Player("Kai", 7));
    EXPECTED_PLAYERS.put("player a", new Player("Eric", 9));
    EXPECTED_PLAYERS.put("player c", new Player("Amanda", 20));
}

So next, let’s see how to achieve that:

LinkedHashMap<String, Player> result = PLAYERS.entrySet()
  .stream()
  .sorted(Map.Entry.comparingByValue(Comparator.comparing(Player::getScore)))
  .collect(LinkedHashMap::new, (map, entry) -> map.put(entry.getKey(), entry.getValue()), Map::putAll);
assertEquals(EXPECTED_PLAYERS, result);

In this instance, we utilized Comparator.comparing(Player::getScore) within the comparingByValue() method.

This construct generates a Comparator through an instance method reference, specifically comparing the score field of Player objects.

7. Conclusion

In this tutorial, we’ve explored different ways to sort a LinkedHashMap by values. We also addressed sorting implementation in scenarios where the values do not implement the Comparable interface.

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:

>> 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:

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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)