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eBook – Mockito – NPI EA (tag = Mockito)
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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.

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eBook – Jackson – NPI EA (cat=Jackson)
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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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1. Introduction

In this article, we’re going to compare two of the most popular Java implementations of the java.util.Set interface – HashSet and TreeSet.

2. Differences

HashSet and TreeSet are leaves of the same branch, but they differ in few important matters.

2.1. Ordering

HashSet stores the objects in random order, whereas TreeSet applies the natural order of the elements. Let’s see the following example:

@Test
public void givenTreeSet_whenRetrievesObjects_thenNaturalOrder() {
    Set<String> set = new TreeSet<>();
    set.add("Baeldung");
    set.add("is");
    set.add("Awesome");
 
    assertEquals(3, set.size());
    assertTrue(set.iterator().next().equals("Awesome"));
}

After adding the String objects into TreeSet, we see that the first one is “Awesome”, even though it was added at the very end. A similar operation done with HashSet does not guarantee that the order of elements will remain constant over time.

2.2. Null Objects

Another difference is that HashSet can store null objects, while TreeSet does not allow them:

@Test(expected = NullPointerException.class)
public void givenTreeSet_whenAddNullObject_thenNullPointer() {
    Set<String> set = new TreeSet<>();
    set.add("Baeldung");
    set.add("is");
    set.add(null);
}

@Test
public void givenHashSet_whenAddNullObject_thenOK() {
    Set<String> set = new HashSet<>();
    set.add("Baeldung");
    set.add("is");
    set.add(null);
 
    assertEquals(3, set.size());
}

If we try to store the null object in a TreeSet, the operation will result in a thrown NullPointerException. The only exception was in Java 7 when it was allowed to have exactly one null element in the TreeSet.

2.3. Performance

Simply put, HashSet is faster than the TreeSet.

HashSet provides constant-time performance for most operations like add(), remove() and contains(), versus the log(n) time offered by the TreeSet.

Usually, we can see that the execution time for adding elements into TreeSet is much more than for the HashSet.

Please remember that the JVM might be not warmed up, so the execution times can differ. A good discussion how to design and perform micro tests using various Set implementations is available here.

2.4. Implemented Methods

TreeSet is rich in functionalities, implementing additional methods like:

  • pollFirst() – to return the first element, or null if Set is empty
  • pollLast() – to retrieve and remove the last element, or return null if Set is empty
  • first() – to return the first item
  • last()to return the last item
  • ceiling() – to return the least element greater than or equal to the given element, or null if there is no such element
  • lower() – to return the largest element strictly less than the given element, or null if there is no such element

The methods mentioned above make TreeSet much easier to use and more powerful than HashSet.

3. Similarities

3.1. Unique Elements

Both TreeSet and HashSet guarantee a duplicate-free collection of elements, as it is a part of the generic Set interface:

@Test
public void givenHashSetAndTreeSet_whenAddDuplicates_thenOnlyUnique() {
    Set<String> set = new HashSet<>();
    set.add("Baeldung");
    set.add("Baeldung");
 
    assertTrue(set.size() == 1);
        
    Set<String> set2 = new TreeSet<>();
    set2.add("Baeldung");
    set2.add("Baeldung");
 
    assertTrue(set2.size() == 1);
}

3.2. Not synchronized

None of the described Set implementations are synchronized. This means that if multiple threads access a Set concurrently, and at least one of the threads modifies it, then it must be synchronized externally.

3.3. Fail-fast Iterators

The Iterators returned by TreeSet and HashSet are fail-fast.

That means that any modification of the Set at any time after the Iterator is created will throw a ConcurrentModificationException:

@Test(expected = ConcurrentModificationException.class)
public void givenHashSet_whenModifyWhenIterator_thenFailFast() {
    Set<String> set = new HashSet<>();
    set.add("Baeldung");
    Iterator<String> it = set.iterator();

    while (it.hasNext()) {
        set.add("Awesome");
        it.next();
    }
}

4. Which Implementation to Use?

Both implementations fulfill the contract of the idea of a set so it’s up to the context which implementation we might use.

Here are few quick points to remember:

  • If we want to keep our entries sorted, we need to go for the TreeSet
  • If we value performance more than memory consumption, we should go for the HashSet
  • If we are short on memory, we should go for the TreeSet
  • If we want to access elements that are relatively close to each other according to their natural ordering, we might want to consider TreeSet because it has greater locality
  • HashSet‘s performance can be tuned using the initialCapacity and loadFactor, which is not possible for the TreeSet
  • If we want to preserve insertion order and benefit from constant time access, we can use the LinkedHashSet

5. Conclusion

In this article, we covered the differences and similarities between TreeSet and HashSet.

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.
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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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Course – LS – NPI EA (cat=REST)

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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.

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