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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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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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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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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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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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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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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.
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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:
1. Overview
In this tutorial, we’ll look at the Adapter pattern and its variations, the use of this pattern in Java, and the ways to implement it.
An Adapter pattern acts as a connector between two incompatible interfaces that otherwise cannot be connected directly. The main goal for this pattern is to convert an existing interface into another one the client expects.
The structure of this pattern is similar to the Decorator. However, the Decorator is usually implemented with the extension in mind. The Adapter is usually implemented after the initial code is written to connect incompatible interfaces. There are two main ways to implement this pattern, so let’s review them.
2.1. Object Adapter
This implementation uses composition to delegate the logic to the Adapter. It’s quite a simple way to achieve interface conformity:
In this case, the Adapter contains the Adaptee and delegates the request() method to the specificRequest() method in the Adaptee.
2.2. Class Adapter
This version of the Adapter pattern requires multiple inheritance, which is technically impossible in Java if we’re not considering interfaces with default methods. The main idea is to create the Adapter by extending both the Target and the Adapter classes. However, we can implement this in Java when we have the Target as an interface, which is easier to achieve because the Target is the part we have control of:
It looks pretty similar to the Object Adapter, but now the Adapter extends the Adaptee instead of containing it compositionally. One of the benefits of this approach is that the Adapter can be used in both contexts, as the Target, and as the Adaptee. Technically, we’ve created a two-way adapter, which might be very convenient in certain cases.
2.3. Benefits and Trade-Offs
The Class Adapter approach works best with a one-to-one mapping between the Target and Adaptee methods. This way, we can use delegation without additional implementation in the Adapter. However, if the Target interface is more complex, this approach might require extra work in the Adapter. However, we can resolve this problem by delegation:
Here, we delegate only the request() method to the Adaptee. The rest of them are taken from the ConcreteTarget. We can use composition to delegate these interface methods to the implementation to avoid code duplication. At the same time, if we don’t need a two-way adapter, we can use the Object Adapter, which would make the structure much simpler:
Thus, the way to implement this pattern heavily depends on the initial state of the codebase, if we can use interfaces, and if we need to provide the ability for adapters to work in both contexts.
3. Adapter Pattern Example
Java has an excellent example of the Adapter pattern, which we can review here. Enumeration and Iterator are two related interfaces that are great examples of adapter-adaptee relationships.
3.1. Enumeration
Both of these interfaces are quite simple, but let’s start with the Enumeration:
public interface Enumeration<E> {
boolean hasMoreElements();
E nextElement();
default Iterator<E> asIterator() {
return new Iterator<>() {
@Override public boolean hasNext() {
return hasMoreElements();
}
@Override public E next() {
return nextElement();
}
};
}
}
3.2. Iterator
The description of the Iterator interface contains the following:
An iterator over a collection. Iterator takes the place of Enumeration in the Java Collections Framework. Iterators differ from enumerations in two ways:
Iterators allow the caller to remove elements from the underlying collection during the iteration with well-defined semantics.
Method names have been improved.
Technically Enumeration has the same interface, and the only difference is the method names:
public interface Iterator<E> {
boolean hasNext();
E next();
default void remove() {
throw new UnsupportedOperationException("remove");
}
default void forEachRemaining(Consumer<? super E> action) {
Objects.requireNonNull(action);
while (hasNext())
action.accept(next());
}
}
3.3. Adapter Implementations
As we can see, the interfaces are similar and have the same goal. The default asIterator() method was added in Java 9 and contains the implementation of the Adapter pattern using an anonymous class:
default Iterator<E> asIterator() {
return new Iterator<>() {
@Override public boolean hasNext() {
return hasMoreElements();
}
@Override public E next() {
return nextElement();
}
};
}
This example uses composition, but it’s not explicit in this case. We don’t pass the Enumeration instance to the Iterator because we create the Iterator in the context of Enumeration. This way, we have direct access to the Enumeration methods. It’s a very powerful technique, which allows hiding the part of the interface and using delegation to private methods. The previous examples of the Class and Object Adapter would require public API for delegation.
However, this approach to implementing the Adapter pattern using anonymous classes is possible only if we have control over both the adapter and adaptee, which isn’t possible in most cases. Let’s imagine how we could implement the same functionality before Java 9:
public class IteratorAdapter<E> implements Iterator<E> {
private Enumeration<E> enumeration;
public IteratorAdapter(Enumeration<E> enumeration) {
this.enumeration = enumeration;
}
@Override
public boolean hasNext() {
return enumeration.hasMoreElements();
}
@Override
public E next() {
return enumeration.nextElement();
}
}
This example is identical to the Object Adapter example we reviewed previously. Let’s implement the same functionality with the Class Adapter. We’ll be using StringTokenizer for this example, as it implements Enumeration interface:
public class StringTokenizerIteratorAdapter extends StringTokenizer implements Iterator<String> {
public StringTokenizerIteratorAdapter(final String str, final String delim, final boolean returnDelims) {
super(str, delim, returnDelims);
}
public StringTokenizerIteratorAdapter(final String str, final String delim) {
super(str, delim);
}
public StringTokenizerIteratorAdapter(final String str) {
super(str);
}
@Override
public boolean hasNext() {
return hasMoreTokens();
}
@Override
public String next() {
return nextToken();
}
}
We’ve created a two-way adapter that can be used as Iterator and StringTokenizer. The Iterator methods delegate not directly to the methods in the Enumerator but to more specific methods in the StringTokenizer.
4. Conclusion
In this article, we looked at the Adapter design pattern in Java. This is one of the most important patterns for managing the codebase’s complexity and working with legacy systems. Also, it allows reusing third-party libraries without making changes to the application and always being able to change the implementations easily.
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.

